MATH’S BELIEVE IT OR NOT
A Collection of 100 Math Discussions
By
DR. MOLOY DE
demoloy@yahoo.co.in
CONTENTS
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Introduction
1
Alphametics
1
Anti-Pigeonhole Conjecture
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Armstrong Number
2
Arnold Sommerfeld
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Barber Paradox
3
Bellows Conjecture
4
Bernoulli Brothers
4
Birth of the Idea of Computer
5
Birthday Problem
5
Breakthrough Prizes in Mathematics
6
Bremermann’s Limit
7
BSD Conjecture
7
Budhayana and Pythagorous
8
Carmichael’s Theorem
8
Collatz Conjecture
9
Common Knowledge
10
Complete Sequence
11
Computing π
12
Count of Polytopes
12
Cramer’s Conjecture on Prime Gap
13
Cramer’s Paradox
13
Curve of Constant Width
14
Deciphering Enigma
15
Differential Privacy
15
Diophantine Equation
16
Disquisitiones Arithmeticae - the Book by Gauss 17
Dots and Boxes
18
Euler Brick
19
Euler Line
20
Fermat Number
20
Fermat Point
21
Fermat Vs. Descarte
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Fermat’s Spiral
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Fibonacci Powers
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Four Color Theorem
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George E P Box
God’s Algorithm
Graeco-Latin Square
Graffiti Conjectures
Haberdasher’s Puzzle
Happy Number
Heawood Conjecture
Hemchandra, the Indian Scholar
Hippasus
Illegal Number
Imaginary Time
Infinitudes of Primes
Josephus Problem
Kakeya Set
Kaprekar’s Constant
Kepler Triangle
Knight’s Tour
Lazy Caterer’s Sequence
Liar Paradox
Life Insurance - the Contributors
Martin Gardner
Mathematician’s Anger
McNugget Numbers
Minesweeper
Morley’s Trisector Theorem
N Queens Problem
Nagel Point
Napoleon’s Theorem
Nine-point Circle
Normal Number
Oh! I Forgot
Pandigital Prime
Paul Erdos
Pell’s Equation
Penrose Tiling
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71
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Perfect Number
Problem of Apollonius
Prof. Anil Bhattacharya
Pythagoraen Theorem in Ancient India
Quantum Computing
Quaternion
Question Mark Function ?(x)
Ramanujan Prime
Ramsey Number
Random Walk in Multidimensions
Regular Heptadecagon
Rubik’s Cube
Saccheri Quadrilateral
Sierpinski Triangle
Sieve of Sundaram
Simson Line
SP Number
Spirograph
Squaring the Plane
St. Petersburg Paradox
Stigler’s Law of Eponymy
Sum of Four Cubes
Taxicab Number
The Book
Three Body Problem and Chaos Theory
Triangle Centers
Truncatable Primes
Ulam Spiral
Unexpected Hanging Paradox
Znam’s Problem
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INTRODUCTION
Facebook is a well established and popular social media now. In mid 2011
I started a public group in facebook named ‘Math’s Believe It Or Not’ with
around twenty odd mathematically inclined friends. The number of members
is reaching 15,000 now. The explosion of member-count makes me believe
that there lies a general interest about mathematics in today’s society.
This book presents selected excerpts/mathematical discussions published
in the Facebook group. Most of the discussions are initiated by me and also
most of them refer to Wikipedia, another successful initiative of current age,
as the source.
I thank my friends, colleagues and specially the members of ‘Math’s Believe It Or Not’ to stand by my endeavor.
1. ALPHAMETICS
Verbal arithmetic puzzles are quite old and their inventor is not known.
An 1864 example in The American Agriculturist disproves the popular notion that it was invented by Sam Loyd. The name ‘cryptarithmie’ was coined
by puzzlist Minos (pseudonym of Simon Vatriquant) in the May 1931 issue
of Sphinx, a Belgian magazine of recreational mathematics, and was translated as ‘cryptarithmetic’ by Maurice Kraitchik in 1942. In 1955, J. A. H.
Hunter introduced the word ”alphametic” to designate cryptarithms, such
as Dudeney’s, whose letters form meaningful words or phrases. Journal of
Recreational Mathematics, had a regular alphametics column.
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2. ANTI-PIGEONHOLE CONJECTURE
Let X be any issue and let A1 , A2 , · · · , An be any collection of distinct
faculty members. Then during a long enough period of email exchanges
among the above faculty on X at least n + 1 opinions will be voiced.
From the Math Blog ‘Godels Lost Letter and P=NP’
3. ARMSTRONG NUMBERS
Armstrong numbers are the sum of their own digits to the power of the
number of digits. say, 153 = 13 + 53 + 33 . Each digit is raised to the power
three because 153 has three digits. They are totalled and we get the original
number again.
Armstrong numbers are base dependent and they are certainly rare. They
cannot have more than 60 digits in base 10, because for n > 60, n9n < 10n−1 .
Since there is an upper limit to their size, it is theoretically possible to find
all of them, given sufficient computer time. However, 1060 is an unimaginably
huge number, so such a ‘brute force’ approach would be unwise. Luckily, D.
Winter proved in 1985 that there are exactly 88 base-10 Armstrong numbers,
and they must have 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 16, 17, 19, 20, 21, 23,
24, 25, 27, 29, 31, 32, 33, 34, 35, 37, 38 or 39 digits. Of course, the one digit
Armstrong numbers are somewhat trivial since clearly 11 1 = 1, 21 = 2 etc.
The Armstrong numbers up to 10 digits are 1, 2, 3, 4, 5, 6, 7, 8, 9, 153, 370,
371, 407, 1634, 8208, 9474, 54748, 92727, 93084, 548834, 1741725, 4210818,
9800817, 9926315, 24678050, 24678051, 88593477, 146511208, 472335975,
534494836, 912985153, and 4679307774.
The largest Armstrong number (in base 10) is the 39-digit beast:
115132219018763992565095597973971522401.
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4. ARNOLD SOMMERFIELD
During the 1901-1950 period, Arnold Sommerfeld was nominated for the
Nobel Prize 84 times, more than any other physicist (including Otto Stern,
who got nominated 81 times), but he never received the award. His PhD
students earned more Nobel prizes in physics than any other supervisor’s,
ever. He introduced the 2nd quantum number (azimuthal quantum number)
and the 4th quantum number (spin quantum number). He also introduced
the fine-structure constant and pioneered X-ray wave theory.
5. BARBER PARADOX
The barber shaves all and only those men in town who do not shave
themselves.
Who shaves the barber?
If the barber does shave himself, then the barber (himself) must not shave
himself.
If the barber does not shave himself, then the barber (himself) must shave
himself.
This paradox is often attributed to Bertrand Russell, e.g., by Martin
Gardner. It was suggested to him as an alternative form of Russell’s paradox,
which he had devised to show that set theory as it was used by Georg Cantor
and Gottlob Frege contained contradictions. However, Russell denied that
the Barber’s paradox was an instance of his own.
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6. BELLOWS CONJECTURE
Area of a triangle is completely determined by the lengths of its three
sides. This is not true for a quadrilateral.
Bellows Conjecture states that a flexible polyhedron has constant volume
when it flexes, i.e. a polyhedral bellows is impossible. The conjecture is
false in two dimensions, true in three dimensions, thought to be true in four
dimensions and is wide open for five dimensions or more.
7. BERNOULLI BROTHERS
Unusually in the history of mathematics, a single family, the Bernoullis,
produced half a dozen outstanding mathematicians over a couple of generations at the end of the 17th and start of the 18th Century.
The Bernoulli family was a prosperous family of traders and scholars
from the free city of Basel in Switzerland, which at that time was the great
commercial hub of central Europe.The brothers, Jacob and Johann Bernoulli,
however, flouted their father’s wishes for them to take over the family spice
business or to enter respectable professions like medicine or the ministry, and
began studying mathematics together.
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8. BIRTH OF THE IDEA OF COMPUTER
In 1812 Charles Babbage was sitting in his rooms in the Analytical Society
looking at a table of logarithms, which he knew to be full of mistakes, when
the idea occurred to him of computing all tabular functions by machinery.
The French government had produced several tables by a new method. Three
or four of their mathematicians decided how to compute the tables, half a
dozen more broke down the operations into simple stages, and the work
itself, which was restricted to addition and subtraction, was done by eighty
computers who knew only these two arithmetical processes. Here, for the first
time, mass production was applied to arithmetic, and Babbage was seized
by the idea that the labours of the unskilled computers could be taken over
completely by machinery which would be quicker and more reliable.
9. BIRTHDAY PROBLEM
In probability theory, the birthday problem or birthday paradox concerns
the probability that, in a set of n randomly chosen people, some pair of them
will have the same birthday.
By the pigeonhole principle, the probability reaches 100% when the number of people reaches 367 (since there are 366 possible birthdays, including
February 29). However, 99.9% probability is reached with just 70 people,
and 50% probability with 23 people. These conclusions include the assumption that each day of the year (except February 29) is equally probable for a
birthday.
The history of the problem is obscure. W. W. Rouse Ball indicated
(without citation) that it was first discussed by Harold Davenport. However,
Richard von Mises proposed an earlier version of what we consider today to
be the birthday problem.
The mathematics behind this problem led to a well-known cryptographic
attack called the birthday attack, which uses this probabilistic model to
reduce the complexity of finding a collision for a hash function.
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10. 2015 BREAKTHROUGH PRIZES IN MATHEMATICS
All is number, taught Pythagoras. Though modern mathematics encompasses far more than numbers alone, the principle remains true. Mathematics
is the universal language of nature.
Math is also fundamental to the growth of knowledge, as it is the scaffolding that supports all the sciences. Its relationship to physics is particularly
intimate. From imaginary numbers to Hilbert spaces, what once seemed
pure abstractions have turned out to underlie real physical processes. In addition, all fields in the life sciences today utilize the power of statistical and
computational approaches to research.
The Breakthrough Prize in Mathematics rewards significant discoveries
across the many branches of the subject. The prize was founded by Mark
Zuckerberg and Yuri Milner and announced at the 2014 Breakthrough Prize
ceremony.
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11. BREMRMANN’S LIMIT
Hans-Joachim Bremermann was a mathematician and biophysicist. He is
famous for a limit on computation, Bremermann’s limit, which is the maximum computational speed of a self-contained system in the material universe.
He noted back then that certain problems were beyond any reasonable
brute-force search. In his own words:
‘The experiences of various groups who work on problem solving, theorem
proving and pattern recognition all seem to point in the same direction: These
problems are tough. There does not seem to be a royal road or a simple
method which at one stroke will solve all our problems. My discussion of
ultimate limitations on the speed and amount of data processing may be
summarized like this: Problems involving vast numbers of possibilities will
not be solved by sheer data processing quantity. We must look for quality, for
refinements, for tricks, for every ingenuity that we can think of. Computers
faster than those of today will be a great help. We will need them. However,
when we are concerned with problems in principle, present day computers are
about as fast as they ever will be. We may expect that the technology of data
processing will proceed step by step, just as ordinary technology has done.
There is an unlimited challenge for ingenuity applied to specific problems.
There is also an unending need for general notions and theories to organize
the myriad details.’
12. BSD CONJECTURE
Bhargava & Shankar (2015) proved that the average rank of the MordellWeil group of an elliptic curve over Q is bounded above by 7/6. Combining
this with the p-parity theorem of Nekovr (2009) and Dokchitser & Dokchitser
(2010) and with the proof of the main conjecture of Iwasawa theory for GL(2)
by Skinner & Urban (2014), they conclude that a positive proportion of elliptic curves over Q have analytic rank zero, and hence, by Kolyvagin (1989),
satisfy the Birch and Swinnerton-Dyer conjecture.
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13. BUDHAYANA AND PYTHAGOROUS
Baudhayana, (800 BCE) was the author of the Baudhayana sutras, which
cover dharma, daily ritual, mathematics, etc. He belongs to the Yajurveda
school, and is older than the other sutra author Apastamba.
He was the author of the earliest Sulba Sutraappendices to the Vedas
giving rules for the construction of altarscalled the Baudhayana Sulbastra.
These are notable from the point of view of mathematics, for containing
several important mathematical results, including giving a value of pi to
some degree of precision, and stating a version of what is now known as the
Pythagorean theorem.
Sequences associated with primitive Pythagorean triples have been named
Baudhayana sequences. These sequences have been used in cryptography as
random sequences and for the generation of keys.
14. CARMICHAEL’S THEOREM
Carmichael’s theorem, named after the American mathematician R.D.
Carmichael, states that for n greater than 12, the nth Fibonacci number
F (n) has at least one prime divisor that does not divide any earlier Fibonacci
number.
The only exceptions for n up to 12 are:
F (1) = 1 and F (2) = 1, which have no prime divisors
F (6) = 8 whose only prime divisor is 2 which is F (3)
F (12) = 144 whose only prime divisors are 2 which is F (3) and 3 which
is F (4)
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15. COLLATZ CONJECTURE
The Collatz conjecture is a conjecture in mathematics named after Lothar
Collatz, who first proposed it in 1937. The conjecture is also known as the
3n + 1 conjecture, the Ulam conjecture (after Stanislaw Ulam), Kakutani’s
problem (after Shizuo Kakutani), the Thwaites conjecture (after Sir Bryan
Thwaites), Hasse’s algorithm (after Helmut Hasse), or the Syracuse problem;
the sequence of numbers involved is referred to as the hailstone sequence
or hailstone numbers (because the values are usually subject to multiple
descents and ascents like hailstones in a cloud), or as wondrous numbers.
Take any natural number n. If n is even, divide it by 2 to get n/2. If n is
odd, multiply it by 3 and add 1 to obtain 3n + 1. Repeat the process (which
has been called ”Half Or Triple Plus One”, or HOTPO) indefinitely. The
conjecture is that no matter what number you start with, you will always
eventually reach 1. The property has also been called ‘oneness’.
Paul Erdos said about the Collatz conjecture: ”Mathematics may not be
ready for such problems.” He also offered $500 for its solution.
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16. COMMON KNOWLEDGE
Common knowledge is a special kind of knowledge for a group of agents.
There is common knowledge of p in a group of agents G when all the agents
in G know p, they all know that they know p, they all know that they all
know that they know p, and so on ad infinitum.
The concept was first introduced in the philosophical literature by David
Kellogg Lewis in his study Convention (1969). It was first given a mathematical formulation in a set-theoretical framework by Robert Aumann (1976).
Computer scientists grew an interest in the subject of epistemic logic in general and of common knowledge in particular starting in the 1980s.
There are numerous puzzles based upon the concept which have been
extensively investigated by mathematicians such as John Conway. The idea
of common knowledge is often introduced by some variant of the following
puzzle:
On an island, there are k people who have blue eyes, and the rest of the
people have green eyes. At the start of the puzzle, no one on the island ever
knows their own eye color. By rule, if a person on the island ever discovers
they have blue eyes, that person must leave the island at dawn the next day.
On the island, each person knows every other person’s eye color, there are
no reflective surfaces, and there is no discussion of eye color.
At some point, an outsider comes to the island, calls together all the
people on the island, and makes the following public announcement: ‘At
least one of you has blue eyes’. The outsider, furthermore, is known by all
to be truthful, and all know that all know this, and so on: it is common
knowledge that he is truthful, and thus it becomes common knowledge that
there is at least one islander who has blue eyes. The problem: assuming
all persons on the island are completely logical and that this too is common
knowledge, what is the eventual outcome?
The answer is that, on the kth dawn after the announcement, all the
blue-eyed people will leave the island.
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17. COMPLETE SEQUENCE
An integer sequence is called a complete sequence if every positive integer
can be expressed as a sum of values in the sequence, using each value at most
once.
For example, the sequence of powers of two 1, 2, 4, 8, · · · the basis of the
binary numeral system, is a complete sequence; given any natural number, we
can choose the values corresponding to the 1 bits in its binary representation
and sum them to obtain that number (e.g. 37 = 1001012 = 1 + 4 + 32). This
sequence is minimal, since no value can be removed from it without making
some natural numbers impossible to represent.
Simple examples of sequences that are not complete include:
(1) The even numbers; since adding even numbers produces only even
numbers, no odd number can be formed.
(2) Powers of three; no integer having a digit ‘2’ in its ternary representation (2, 5, 6, · · ·) can be formed.
Below is a list of the some complete sequences.
(1) The sequence of the number 1 followed by the prime numbers (studied
by S. S. Pillai and others); this follows from Bertrand’s postulate.
(2) The Fibonacci numbers, as well as the Fibonacci numbers with any
one number removed. This follows from the identity that the sum of the first
n Fibonacci numbers is the (n + 2)nd Fibonacci number minus 1.
(3) The Lazy caterer’s sequence that gives the maximum number of partitions that a plane can be divided into, using n straight lines as dividers.
(4) The Cookie cutter’s sequence that gives the maximum number of
partitions that a plane can be divided into, using n circles as dividers.
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18. COMPUTING Π
For most numerical calculations involving π, a handful of digits provide
sufficient precision. According to Jrg Arndt and Christoph Haenel, thirtynine digits are sufficient to perform most cosmological calculations, because
that is the accuracy necessary to calculate the volume of the known universe
with a precision of one atom. Despite this, people have worked strenuously
to compute π to thousands and millions of digits. This effort may be partly
ascribed to the human compulsion to break records, and such achievements
with π often make headlines around the world. They also have practical benefits, such as testing supercomputers, testing numerical analysis algorithms
(including high-precision multiplication algorithms); and within pure mathematics itself, providing data for evaluating the randomness of the digits of
π.
19. COUNT OF POLYTOPES
In two dimensions there are infinitely many regular polygons: one for
each whole number of sides from three onward. The Greeks proved that
there are exactly five regular solids in three dimensions: tetrahedron, cube,
octahedron, dodecahedron and icosahedron. In five or more dimensions there
are only three regular polytopes (as they are called) and they are analogous
to tetrahedron, cube and octahedron. However, in four dimensional space
there are six regular polytopes.
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20. CRAMER’S CONJECTURE ON PRIME GAP
The prime number theorem implies that on average, the gap between
the prime p and its successor is log(p). However, some gaps between primes
may be much larger than the average. Cramr proved that, assuming the
√
Riemann hypothesis, every gap is O( p log(p)). This is a case in which
even the best bound that can be proved using the Riemann Hypothesis is
far weaker than what seems true: Cramr’s conjecture implies that every gap
is O((log(p))2 ), which, while larger than the average gap, is far smaller than
the bound implied by the Riemann hypothesis. Numerical evidence supports
Cramr’s conjecture.
21. CRAMER’S PARADOX
Cramer’s paradox was first published by Maclaurin. Cramer and Euler
corresponded on the paradox in letters of 1744 and 1745 and Euler explained
the problem to Cramer. It has become known as Cramer’s paradox after featuring in his 1750 book Introduction l’analyse des lignes courbes algbriques,
although Cramer quoted Maclaurin as the source of the statement. At about
the same time, Euler published examples showing a cubic curve which was
not uniquely defined by 9 points and discussed the problem in his book Introductio in analysin infinitorum. The result was publicized by James Stirling
and explained by Julius Plcker.
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22. CURVE WITH CONSTANT WIDTH
A curve of constant width is a convex planar shape whose width, defined
as the perpendicular distance between two distinct parallel lines each having
at least one point in common with the shape’s boundary but none with the
shape’s interior, is the same regardless of the orientation of the curve.
More generally, any compact convex planar body D has one pair of parallel
supporting lines in any given direction. A supporting line is a line that has at
least one point in common with the boundary of D but no points in common
with the interior of D. The width of the body is defined as before. If the
width of D is the same in all directions, the body is said to have constant
width and its boundary is a curve of constant width; the planar body itself
is called an orbiform.
The width of a circle is constant: its diameter. On the other hand, the
width of a square√varies between the length of a side and that of a diagonal,
in the ratio 1 : 2. Thus the question arises: if a given shape’s width is
constant in all directions, is it necessarily a circle? The surprising answer is
that there are many non-circular shapes of constant width.
A nontrivial example is the Reuleaux triangle. To construct this, take
an equilateral triangle with vertices ABC and draw the arc BC on the circle
centered at A, the arc CA on the circle centered at B, and the arc AB on the
circle centered at C. The resulting figure is of constant width.
The Reuleaux triangle lacks tangent continuity at three points, but constantwidth curves can also be constructed without such discontinuities. Curves
of constant width can be generated by joining circular arcs centered on the
vertices of a regular or irregular convex polygon with an odd number of sides
(triangle, pentagon, heptagon, etc.).
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23. DECIPHERING ENIGMA
An Enigma machine was any of several codesigned electro-mechanical
rotor cipher machines used in the twentieth century for enciphering and deciphering secret messages. Enigma was invented by the German engineer
Arthur Scherbius at the end of World War I. Early models were used commercially from the early 1920s, and adopted by military and government
services of several countriesmost notably by Nazi Germany before and during World War II. Several different Enigma models were produced, but the
German military models are the most commonly recognised.
The movie ”The Imitation Game” is the biography of Alan Turing, who
broke the Enigma Code and supposedly reduced World War II by two years.
24. DIFFERENTIAL PRIVACY
A statistical database is a database used for statistical analysis purposes. It is an OLAP (online analytical processing), instead of OLTP (online
transaction processing) system. Modern decision, and classical statistical
databases are often closer to the relational model than the multidimensional
model commonly used in OLAP systems today.
Statistical databases often incorporate support for advanced statistical
analysis techniques, such as correlations, which go beyond SQL. They also
pose unique security concerns, which were the focus of much research, particularly in the late 1970s and early to mid-1980s.
The notion of indistinguishability, later termed Differential Privacy, formalizes the notion of ”privacy” in statistical databases.Cynthia Dwork is a
computer scientist who is a Distinguished Scientist at Microsoft Research.
She has done great work in many areas of theory, including security and
privacy. Her notion of differential privacy calls for attention.
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25. DIOPHANTINE EQUATION
A Diophantine equation is a polynomial equation, usually in two or more
unknowns, such that only the integer solutions are sought or studied where
an integer solution is a solution such that all the unknowns take integer
values. A linear Diophantine equation is an equation between two sums of
monomials of degree zero or one. An exponential Diophantine equation is
one in which exponents on terms can be unknowns.
Diophantine problems have fewer equations than unknown variables and
involve finding integers that work correctly for all equations. In more technical language, they define an algebraic curve, algebraic surface, or more
general object, and ask about the lattice points on it.
The questions asked in Diophantine analysis include:
(1) Are there any solutions?
(2) Are there any solutions beyond some that are easily found by inspection?
(3) Are there finitely or infinitely many solutions?
(4) Can all solutions be found in theory?
(5) Can one in practice compute a full list of solutions?
These traditional problems often lay unsolved for centuries, and mathematicians gradually came to understand their depth, in some cases, rather
than treat them as puzzles.
The word Diophantine refers to the Hellenistic mathematician of the 3rd
century, Diophantus of Alexandria, who made a study of such equations and
was one of the first mathematicians to introduce symbolism into algebra.
The mathematical study of Diophantine problems that Diophantus initiated
is now called Diophantine analysis.
While individual equations present a kind of puzzle and have been considered throughout history, the formulation of general theories of Diophantine
equations, beyond the theory of quadratic forms, was an achievement of the
twentieth century.
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26. DISQUISTIONES ARITHMETICAE BY GAUSS
The Disquisitiones Arithmeticae (Latin: Arithmetical Investigations) is
a textbook of number theory written in Latin[1] by Carl Friedrich Gauss
in 1798 when Gauss was 21 and first published in 1801 when he was 24.
In this book Gauss brings together results in number theory obtained by
mathematicians such as Fermat, Euler, Lagrange and Legendre and adds
important new results of his own.
The Disquisitiones covers both elementary number theory and parts of
the area of mathematics now called algebraic number theory. However, Gauss
did not explicitly recognize the concept of a group, which is central to modern
algebra, so he did not use this term. His own title for his subject was Higher
Arithmetic. In his Preface to the Disquisitiones Gauss describes the scope
of the book as: ”The inquiries which this volume will investigate pertain to
that part of Mathematics which concerns itself with integers.”
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27. DOTS AND BOXES
Dots and boxes, also known as Boxes, Squares, Paddocks, Pigs in a Pen,
Square-it, Dots and Dashes, Dots, Line Game, Smart Dots, Dot Boxing,
or, simply, the Dot Game, is a pencil and paper game for two players (or
sometimes, more than two) first published in 1889 by douard Lucas.
Starting with an empty grid of dots, players take turns, adding a single
horizontal or vertical line between two unjoined adjacent dots. A player who
completes the fourth side of a 1 × 1 box earns one point and takes another
turn. The points are typically recorded by placing in the box an identifying
mark of the player, such as an initial. The game ends when no more lines
can be placed. The winner of the game is the player with the most points.
The board may be of any size. When short on time, 2 × 2 boxes, created
by a square of 9 dots, is good for beginners, and 5 × 5 is good for experts.
In combinatorial game theory dots and boxes is an impartial game, and
many positions can be analyzed using SpragueGrundy theory. However, dots
and boxes is considered to be he mathematically richest popular child’s game
in the world and so by a substantial margin.
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28. EULER BRICK
An Euler brick, named after Leonhard Euler, is a cuboid whose edges and
face diagonals all have integer lengths. A primitive Euler brick is an Euler
brick whose edge lengths are relatively prime.
The smallest Euler brick, discovered by Paul Halcke in 1719, has edges
(a, b, c) = (44, 117, 240) and face diagonals 125, 244, and 267. Some other
small primitive solutions, given as edges (a, b, c) and face diagonals (d, e, f ),
are:
(85, 132, 720) and (157, 725, 732);
(140, 480, 693) and (500, 707, 843);
(160, 231, 792) and (281, 808, 825);
(240, 252, 275) and (348, 365, 373).
A perfect cuboid (also called a perfect box) is an Euler brick whose space
diagonal also has integer length. In other words, the following equation
is added to the system of Diophantine equations defining an Euler brick:
a2 + b2 + c2 = g 2 , where g is the space diagonal. Thus (a, b, c, g) must be a
Pythagorean quadruple.
As of November 2012, no example of a perfect cuboid had been found
and no one has proven that none exist. Exhaustive computer searches show
that, if a perfect cuboid exists, one of its edges must be greater than 3 × 1012 .
Furthermore, its smallest edge must be longer than 1010 .
19
29. EULER LINE
In some ways, Euler’s discovery of the Euler line is analogous to Columbus’s ”discovery” of America. Both made their discoveries while looking for
something else. Columbus was trying to find China. Euler was trying to find
a way to reconstruct a triangle, given the locations of some of its various
centers. Neither named his discovery. Columbus never called it ”America”
and Euler never called it ”the Euler line.”
Both misunderstood the importance of their discoveries. Columbus believed he had made a great and wonderful discovery, but he thought he’s
discovered a better route from Europe to the Far East. Euler knew what
he’d discovered, but didn’t realize how important it would turn out to be.
Finally, Columbus made several more trips to the New World, but Euler,
as with his polyhedral formula and the Knigsberg bridge problem, made an
important discovery but never went back to study it further.
30. FERMAT NUMBER
If 2n + 1 is prime, and n > 0, it can be shown that n must be a power of
two.
However the converse was incorrectly conjectured by Fermat in 1650 and
disproved by Euler in 1732 showing the counter-example
5
F5 = 22 + 1 = 232 + 1 = 4294967297 = 641 × 6700417
20
31. FERMAT POINT
The Fermat point of a triangle, also called the Torricelli point or FermatTorricelli point, is a point such that the total distance from the three vertices
of the triangle to the point is the minimum possible.
It is so named because this problem is first raised by Fermat in a private
letter to Evangelista Torricelli, who solved it.
The Fermat point gives a solution to the geometric median and Steiner
tree problems for three points.
32. FERMAT VS. DESCARTE
Fermat (1601-1665) worked on many of the same problems as Ren Descartes
(1596-1650). They independently discovered analytic geometry, but since
Fermat seldom published anything, Cartesian coordinates bear the name of
Descartes, not Fermat. Both tried to restore the lost books of Apollonius,
and when Fermat discovered a pair of amicable numbers, Descartes retaliated
by finding another pair.
Both discovered techniques for finding the line tangent to a given curve at
a given point, and Fermat showed how to find the area under a curve given
by the equation y = xn , as long as n was not equal to −1. All of this was
very important in setting the stage for the discovery of calculus, later in the
1600s.
Fermat and Descartes did not like each other very much. In fact, some
people describe their relationship as a feud, but it seems that Descartes
resented Fermat more than Fermat disliked Descartes. They probably never
met.
21
33. FERMAT’S SPIRAL
In disc phyllotaxis, as in the sunflower and daisy, the mesh of spirals
occurs in Fibonacci numbers because divergence (angle of succession in a
single spiral arrangement) approaches the golden ratio. The shape of the
spirals depends on the growth of the elements generated sequentially. In
mature-disc phyllotaxis, when all the elements are the same size, the shape
of the spirals is that of Fermat spiralsideally. That is because Fermat’s spiral
traverses equal annuli in equal turns. The full model was proposed by H
Vogel in 1979.
Fermat’s spiral has also been found to be an efficient layout for the mirrors
of concentrated solar power plants.
34. FIBONACCI POWERS
1, 8 and 144 are the only powers (power of a positive integer) in the
Fibonacci Sequence 1, 1, 2, 3, 5, ...
See http://www-irma.u-strasbg.fr/ bugeaud/travaux/fibo.pdf for the proof
and more.
22
35. FOUR COLOR THEOREM
The four color theorem, or the four color map theorem, states that, given
any separation of a plane into contiguous regions, producing a figure called
a map, no more than four colors are required to color the regions of the
map so that no two adjacent regions have the same color. Two regions are
called adjacent if they share a common boundary that is not a corner, where
corners are the points shared by three or more regions. For example, in the
map of the United States of America, Utah and Arizona are adjacent, but
Utah and New Mexico, which only share a point that also belongs to Arizona
and Colorado, are not.
The four color theorem was proven in 1976 by Kenneth Appel and Wolfgang Haken. It was the first major theorem to be proved using a computer.
Appel and Haken’s approach started by showing that there is a particular set
of 1,936 maps, each of which cannot be part of a smallest-sized counterexample to the four color theorem. Appel and Haken used a special-purpose
computer program to confirm that each of these maps had this property. Additionally, any map that could potentially be a counterexample must have a
portion that looks like one of these 1,936 maps. Showing this required hundreds of pages of hand analysis. Appel and Haken concluded that no smallest
counterexamples exists because any must contain, yet do not contain, one of
these 1,936 maps. This contradiction means there are no counterexamples
at all and that the theorem is therefore true.
Initially, their proof was not accepted by all mathematicians because the
computer-assisted proof was infeasible for a human to check by hand. Since
then the proof has gained wider acceptance, although doubts remain. To dispel remaining doubt about the AppelHaken proof, a simpler proof using the
same ideas and still relying on computers was published in 1997 by Robertson, Sanders, Seymour, and Thomas. Additionally in 2005, the theorem was
proven by Georges Gonthier with general purpose theorem proving software.
23
36. GEORGE E P BOX
While one can certainly make precise formalisations of at least some aspects of the models, one should not be inflexibly wedded to a specific such
formalisation as being ”the” correct way to pin down the model rigorously.
To quote the statistician George Box: ”all models are wrong, but some are
useful”.
24
37. GOD’S ALGORITHM
Some well known games with a very limited set of simple well-defined
rules and moves have nevertheless never had their God’s algorithm for a
winning strategy determined. Examples are the board games chess and Go.
Both these games have a rapidly increasing number of positions with each
move. The total number of all possible positions, approximately 10154 for
chess and 10180 (on a 19 × 19 board) for Go, is much too large to allow a
brute force solution with current computing technology (compare the now
solved, with great difficulty, Rubik’s cube at only about 4.3 × 1019 positions).
Consequently, a brute force determination of God’s algorithm for these games
is not possible. True, chess computers have been built that are capable of
beating even the best human players, but they do not calculate the game all
the way to the end. Deep Blue, for instance, searched only 11 moves ahead
reducing the search space to only 1017. After this, each position is assessed
for advantage according to rules derived from human play and experience.
Even this strategy is not possible with Go. Besides having hugely more
positions to evaluate, no one so far has successfully constructed a set of simple
rules for evaluating the strength of a Go position as has been done for chess.
Evaluation algorithms are prone to make elementary mistakes so even for
a limited look ahead with the goal limited to finding the strongest interim
position, a God’s algorithm has not been possible for Go.
On the other hand draughts, with superficial similarities to chess, has
long been suspected of being ”played out” by its expert practitioners. In
2007 Schaeffer et al. proved this to be so by calculating a database of all
positions with ten or fewer pieces. Thus Schaeffer has a God’s algorithm for
all end games of draughts and used this to prove that all perfectly played
games of draughts will end in a draw. However, draughts with only 5 × 1020
positions and even fewer, 3.9 × 1013 , in Schaeffer’s database, is a much easier
problem to crack and is of the same order as Rubik’s cube.
25
38. GRAECO-LATIN SQUARE
A Graeco-Latin square or Euler square or orthogonal Latin squares of
order n over two sets S and T , each consisting of n symbols, is an n × n
arrangement of cells, each cell containing an ordered pair (s, t), where s is in
S and t is in T , such that every row and every column contains each element
of S and each element of T exactly once, and that no two cells contain the
same ordered pair.
In the 1780s Euler demonstrated methods for constructing Graeco-Latin
squares where n is odd or a multiple of 4. Observing that no order-2 square
exists and unable to construct an order-6 square, he conjectured that none
exist for any oddly even number n = 2 (mod 4). Indeed, the non-existence
of order-6 squares was definitely confirmed in 1901 by Gaston Tarry through
exhaustive enumeration of all possible arrangements of symbols. However,
Euler’s conjecture resisted solution for a very long time.
In 1959, R.C. Bose and S. S. Shrikhande constructed some counterexamples (dubbed the ‘Euler Spoilers’) of order 22 using mathematical insights.
Then E. T. Parker found a counterexample of order 10 using a one-hour
computer search on a UNIVAC 1206 Military Computer while working at
the UNIVAC division of Remington Rand (this was one of the earliest combinatorics problems solved on a digital computer).
In April 1959, Parker, Bose, and Shrikhande presented their paper showing Euler’s conjecture to be false for all n ≥ 10. Thus, Graeco-Latin squares
exist for all orders n ≥ 3 except n = 6.
Graeco-Latin squares are used in the design of experiments, tournament
scheduling, and constructing magic squares. The French writer Georges Perec
structured his 1978 novel ‘Life: A User’s Manual’ around a 10 × 10 GraecoLatin square.
26
39. GRAFFITI CONJECTURES
Graffiti is a computer program which makes conjectures in various subfields of mathematics (particularly graph theory) and chemistry, but can be
adapted to other fields.
It was written by Siemion Fajtlowicz at the University of Houston. Research on conjectures produced by Graffiti has led to over 60 publications by
other mathematicians.
40. HABERDASHER’S PUZZLE
Henry Ernest Dudeney (10 April 1857 to 23 April 1930) was an English
author and mathematician who specialised in logic puzzles and mathematical
games. He is known as one of the country’s foremost creators of mathematical
puzzles.
One of Dudeney’s most famous innovations were his 1903 success at solving the Haberdasher’s Puzzle (Cut an equilateral triangle into four pieces
that can be rearranged to make a square) in affirmative.
27
41. HAPPY NUMBER
A happy number is a number defined by the following process: Starting
with any positive integer, replace the number by the sum of the squares of its
digits, and repeat the process until the number equals 1 (where it will stay),
or it loops endlessly in a cycle which does not include 1. Those numbers for
which this process ends in 1 are happy numbers, while those that do not end
in 1 are unhappy numbers (or sad numbers).
For example, 19 is happy, as the associated sequence is:
12 + 92 = 82
82 + 22 = 68
62 + 82 = 100
12 + 02 + 0 2 = 1
The 143 happy numbers up to 1,000 are: 1, 7, 10, 13, 19, 23, 28, 31, 32,
44, 49, 68, 70, 79, 82, 86, 91, 94, 97, 100, 103, 109, 129, 130, 133, 139, 167,
176, 188, 190, 192, 193, 203, 208, 219, 226, 230, 236, 239, 262, 263, 280, 291,
293, 301, 302, 310, 313, 319, 320, 326, 329, 331, 338, 356, 362, 365, 367, 368,
376, 379, 383, 386, 391, 392, 397, 404, 409, 440, 446, 464, 469, 478, 487, 490,
496, 536, 556, 563, 565, 566, 608, 617, 622, 623, 632, 635, 637, 638, 644, 649,
653, 655, 656, 665, 671, 673, 680, 683, 694, 700, 709, 716, 736, 739, 748, 761,
763, 784, 790, 793, 802, 806, 818, 820, 833, 836, 847, 860, 863, 874, 881, 888,
899, 901, 904, 907, 910, 912, 913, 921, 923, 931, 932, 937, 940, 946, 964, 970,
973, 989, 998, 1000.
The happiness of a number is unaffected by rearranging the digits, and
by inserting or removing any number of zeros anywhere in the number.
28
42. HEAWOOD CONJECTURE
In graph theory, the Heawood conjecture or RingelYoungs theorem gives
a lower bound for the number of colors that are necessary for graph coloring
on a surface of a given genus. It was formulated in 1890 by Percy John
Heawood and proven in 1968 by Gerhard Ringel and Ted Youngs. One case,
the non-orientable Klein bottle, proved an exception to the general formula.
An entirely different approach was needed for the much older problem of
finding the number of colors needed for the plane or sphere, solved in 1976 as
the four color theorem by Haken and Appel. On the sphere the lower bound
is easy, whereas for higher genera the upper bound is easy and was proved
in Heawood’s original short paper that contained the conjecture.
In other words, Ringel, Youngs and others had to construct extreme examples for every genus g = 1,2,3,... If g = 12s + k, the genera fall into 12
cases according as k = 0,1,2,3,4,5,6,7,8,9,10,11. To simplify the discussion,
let’s say that case k has been established if only a finite number of g’s of the
form 12s + k are in doubt. Then the years in which the twelve cases were
settled and by whom are the following:
1954, Ringel: case 5
1961, Ringel: cases 3,7,10
1963, Terry, Welch, Youngs: cases 0,4
1964, Gustin, Youngs: case 1
1965, Gustin: case 9
1966, Youngs: case 6
1967, Ringel, Youngs: cases 2,8,11
The last seven sporadic exceptions were settled as follows:
1967, Mayer: cases 18, 20, 23
1968, Ringel, Youngs: cases 30, 35, 47, 59, and the conjecture was proved.
29
43. HEMCHANDRA, THE INDIAN SCHOLAR
Hemachandra, following the earlier Gopala, presented an earlier version
of the Fibonacci sequence. It was presented around 1150, about fifty years
before Fibonacci (1202). He was considering the number of cadences of length
n, and showed that these could be formed by adding a short syllable to a
cadence of length n − 1, or a long syllable to one of n − 2. This recursion
relation F (n) = F (n − 1) + F (n − 2) is what defines the Fibonacci sequence.
44. HIPPASUS
Hippasus of Metapontum (5th century BC), was a Pythagorean philosopher. Little is known about his life or his beliefs, but he is sometimes credited
with the discovery of the existence of irrational numbers. The discovery of
irrational numbers is said to have been shocking to the Pythagoreans, and
Hippasus is supposed to have drowned at sea, apparently as a punishment
from the gods for divulging this.
However, the few ancient sources which describe this story either do not
mention Hippasus by name or alternatively tell that Hippasus drowned because he revealed how to construct a dodecahedron inside a sphere. The
discovery of irrationality is not specifically ascribed to Hippasus by any ancient writer. Some modern
scholars though have suggested that he discovered
√
the irrationality of 2, which it is believed was discovered around the time
that he lived.
30
45. ILLEGAL NUMBER
An illegal number may represent some type of classified information or
trade secret, legal to possess only by certain authorized persons. An AACS
encryption key that came to prominence in May 2007 is an example of a
number claimed to be a secret, and whose publication or inappropriate possession is claimed to be illegal in the United States. It allegedly assists in
the decryption of any HD DVD or Blu-ray Disc released before this date.
The issuers of a series of cease-and-desist letters claim that the key itself
is therefore a copyright circumvention device, and that publishing the key
violates Title 1 of the US Digital Millennium Copyright Act.
In part of the DeCSS court order and in the AACS legal notices, the
claimed protection for these numbers is based on their mere possession and
the value or potential use of the numbers. This makes their status and
legal issues surrounding their distribution quite distinct from that of mere
copyright infringement.
Any image file or an executable program can be regarded as simply a very
large binary number. In certain jurisdictions, there are images that are illegal
to possess, due to obscenity or secrecy/classified status, so the corresponding
numbers could be illegal.
In 2011 Sony sued George Hotz and members of fail0verflow for jailbreaking the PlayStation 3. Part of the lawsuit complaint was that they had
published PS3 keys. Sony also threatened to sue anyone who distributed
the keys. Sony later accidentally tweeted an older dongle key through its
fictional Kevin Butler character.
31
46. IMAGINARY TIME
‘One might think that imaginary numbers are just a mathematical game
having nothing to do with the real world. From the viewpoint of positivist
philosophy, however, one cannot determine what is real. All one can do is
find which mathematical models describe the universe we live in. It turns
out that a mathematical model involving imaginary time predicts not only
effects we have already observed but also effects we have not been able to
measure yet nevertheless believe in for other reasons. So what is real and
what is imaginary? Is the distinction just in our minds?’ from Prof. Stephen
Hawking
Imaginary time is a concept derived from quantum mechanics and is essential in connecting quantum mechanics with statistical mechanics.
47. INFINITUDE OF PRIMES
This is just a curiosity. We have come across multiple proofs of the fact
that there are infinitely many primes, some of them were quite trivial, but
some others were really, really fancy. It is nice to show what proofs are there
and like to know more because it’s cool to see that something can be proved
in so many different ways.
32
48. JOSEPHUS PROBLEM
The Josephus Problem, or Josephus permutation, is a theoretical problem
related to a certain counting-out game.
There are people standing in a circle waiting to be executed. The counting
out begins at some point in the circle and proceeds around the circle in a
fixed direction. In each step, a certain number of people are skipped and the
next person is executed. The elimination proceeds around the circle, which
is becoming smaller and smaller as the executed people are removed, until
only the last person remains, who is given freedom.
The task is to choose the place in the initial circle so that you are the
last one remaining and so survive.
The problem is named after Flavius Josephus, a Jewish historian living
in the 1st century. According to Josephus’ account of the siege of Yodfat, he
and his 40 soldiers were trapped in a cave, the exit of which was blocked by
Romans. They chose suicide over capture and decided that they would form
a circle and start killing themselves using a step of three. Josephus states
that by luck or possibly by the hand of God, he and another man remained
the last and gave up to the Romans.
33
49. KAKEYA SET
A Kakeya set, or Besicovitch set, is a set of points in Euclidean space
which contains a unit line segment in every direction. For instance, a disk of
radius 1/2 in the Euclidean plane, or a ball of radius 1/2 in three-dimensional
space, forms a Kakeya set. Much of the research in this area has studied the
problem of how small such sets can be. Besicovitch showed that there are
Besicovitch sets of measure zero.
A Kakeya needle set, sometimes also known as a Kakeya set, is a Besicovitch set in the plane with a stronger property, that a unit line segment
can be rotated continuously through 180 degrees within it, returning to its
original position with reversed orientation. Again, the disk of radius 1/2 is an
example of a Kakeya needle set. Besicovitch showed that there are Kakeya
needle sets of arbitrarily small positive measure.
34
50. KAPREKAR’S CONSTANT
6174 is known as Kaprekar’s constant after the Indian mathematician D.
R. Kaprekar. This number is notable for the following property:
1. Take any four-digit number, using at least two different digits. (Leading zeros are allowed.)
2. Arrange the digits in descending and then in ascending order to get
two four-digit numbers, adding leading zeros if necessary.
3. Subtract the smaller number from the bigger number.
4. Go back to step 2.
The above process, known as Kaprekar’s routine, will always reach its
fixed point, 6174, in at most 7 iterations. Once 6174 is reached, the process
will continue yielding 7641 1467 = 6174. The only four-digit numbers for
which Kaprekar’s routine does not reach 6174 are repdigits such as 1111,
which give the result 0.
495 is the equivalent constant for three-digit numbers. For two-digit numbers, there is no equivalent constant; for any starting number with differing
digits, the routine enters the loop (45, 9, 81, 63, 27, 45). For each digit length
greater than four, the routine may terminate at one of several fixed values
or may enter one of several loops instead.
35
51. KEPLER TRIANGLE
A Kepler triangle is a right triangle formed by three squares with areas
in geometric progression according to the golden ratio.
Triangles with such ratios are named after the German mathematician
and astronomer Johannes Kepler (1571 to 1630), who first demonstrated that
this triangle is characterised by a ratio between short side and hypotenuse
equal to the golden ratio. Kepler triangles combine two key mathematical
conceptsthe Pythagorean theorem and the golden ratiothat fascinated Kepler
deeply, as he expressed in this quotation:
‘Geometry has two great treasures: one is the theorem of Pythagoras, the
other the division of a line into mean and extreme ratio. The first we may
compare to a mass of gold, the second we may call a precious jewel.’
Some sources claim that a triangle with dimensions closely approximating
a Kepler triangle can be recognized in the Great Pyramid of Giza.
36
52. KNIGHTS’S TOUR
A knight’s tour is a sequence of moves of a knight on a chessboard such
that the knight visits every square only once. If the knight ends on a square
that is one knight’s move from the beginning square (so that it could tour
the board again immediately, following the same path), the tour is closed,
otherwise it is open.
The knight’s tour problem is the mathematical problem of finding a
knight’s tour. Creating a program to find a knight’s tour is a common
problem given to computer science students. Variations of the knight’s tour
problem involve chessboards of different sizes than the usual 8 8, as well as
irregular (non-rectangular) boards.
For any m×n board with m ≤ n, a closed knight’s tour is always possible
unless one or more of these three conditions are true:
(1) m and n are both odd and m and n are not both 1, (2) m = 1, 2, or 4
and m and n are not both 1, (3) m = 3 and n = 4, 6, or 8
37
53. LAZY CATERER’S SEQUENCE
The lazy caterer’s sequence, more formally known as the central polygonal
numbers, describes the maximum number of pieces of a circle, a pancake or
pizza is usually used to describe the situation, that can be made with a given
number of straight cuts.
For example, three cuts across a pancake will produce six pieces if the
cuts all meet at a common point, but seven if they do not. This problem can
be formalized mathematically as one of counting the cells in an arrangement
of lines and can be generalized to higher dimensions. The analogue of this
sequence in 3 dimensions is the cake number.
In two dimensions the maximum number p of pieces that can be created
with a given number of cuts n, where n ≥ 0, is given by the formula
p=
n2 + n + 2
2
.
38
54. LIAR PARADOX
On someone’s T-shirt it is written that ‘I am a liar’.
The question is whether the statement is True or False.
If the statement is True then the person wearing the shirt is a liar and
the statement coming from a liar cannot be True.
If the statement is False, then the person wearing the T-shirt is not a liar
hence his words must be True.
The Indian grammarian-philosopher Bhartrhari (late fifth century CE)
was well aware of a liar paradox which he formulated as ‘everything I am
saying is false’ (sarvam mithya bravimi). He analyzes this paradox together
with the paradox of ‘unsignifiability’ and explores the boundary between
statements that are unproblematic in daily life and paradoxes.
In early Islamic tradition liar paradox was discussed for at least five centuries starting from late 9th century apparently without being influenced by
any other tradition. Nasir al-Din al-Tusi could have been the first logician
to identify the liar paradox as self-referential.
39
55. LIFE INSURANCE - THE CONTRIBUTORS
‘The history of mortality tables and life insurance is sprinkled with the
names of people more famous for other things. American composer Charles
Ives, who, like your columnist, worked in Danbury, Connecticut, also invented the insurance agency, so that insurance customers themselves no
longer had to negotiate directly with the insurance companies. Edmund
Halley, of comet fame, devoted a good deal of energy to calculating one of
the earlier mortality tables. Henry Briggs, better known for his pioneering
work with logarithms, calculated interest tables. Swiss religious reformer
John Calvin preached that life insurance was not necessarily immoral usury,
as some maintained at the time. Daniel Defoe, author of Gulliver’s Travels,
proposed a national insurance scheme for England in 1697. We find other
familiar names, DeMoivre, Fermat, Harriot, Hudde, Huygens, de Witt, van
Shooten, Maclaurin, Maseres, Pepys and, of course, Euler.’ - From How
Euler Did Even More by Ed Sandifer
56. MARTIN GARDNER
‘Mathematicians insist on analyzing anything analyzable.’ - Martin Gardner
Gardner was best known for creating and sustaining general interest in
recreational mathematics for a large part of the 20th century, principally
through his Scientific American ‘Mathematical Games’ columns from 1956
to 1981 and subsequent books collecting them. He was an uncompromising
critic of fringe science and was a founding member of CSICOP, an organization devoted to debunking pseudoscience, and wrote a monthly column,
‘Notes of a Fringe Watcher’, from 1983 to 2002 in Skeptical Inquirer, that
organization’s monthly magazine. He also wrote a ‘Puzzle Tale’ column for
Asimov’s Science Fiction magazine from 1977 to 1986 and altogether published more than 100 books.
40
57. MATHEMATICIAN’S ANGER
If nobody understands a mathematical proof, does it count? Shinichi
Mochizuki of Kyoto University, Japan, has tried to prove the ABC conjecture,
a long-standing pure maths problem, but now says fellow mathematicians are
failing to get to grips with his work.
58. MCNUGGET NUMBERS
The McNuggets version of the coin problem was introduced by Henri Picciotto, who included it in his algebra textbook co-authored with Anita Wah.
Picciotto thought of the application in the 1980s while dining with his son at
McDonald’s, working the problem out on a napkin. A McNugget number is
the total number of McDonald’s Chicken McNuggets in any number of boxes.
The original boxes (prior to the introduction of the Happy Meal-sized nugget
boxes) were of 6, 9, and 20 nuggets.
According to Schur’s theorem, since 6, 9, and 20 are relatively prime,
any sufficiently large integer can be expressed as a linear combination of
these three. Therefore, there exists a largest non-McNugget number, and
all integers larger than it are McNugget numbers. Namely, every positive
integer is a McNugget number, with the finite number of exceptions: 1, 2, 3,
4, 5, 7, 8, 10, 11, 13, 14, 16, 17, 19, 22, 23, 25, 28, 31, 34, 37, and 43.
41
59. MINESWEEPER
Minesweeper is a single-player puzzle video game. The objective of the
game is to clear a rectangular board containing hidden ‘mines’ without detonating any of them, with help from clues about the number of neighboring
mines in each field. The game originates from the 1960s, and has been written for many computing platforms in use today. It has many variations and
offshoots.
The game is played by revealing squares of the grid by clicking or otherwise indicating each square. If a square containing a mine is revealed, the
player loses the game. If no mine is revealed, a digit is instead displayed in
the square, indicating how many adjacent squares contain mines; if no mines
are adjacent, the square becomes blank, and all adjacent squares will be recursively revealed. The player uses this information to deduce the contents
of other squares, and may either safely reveal each square or mark the square
as containing a mine.
In 2000, Richard Kaye published a proof that it is NP-complete to determine whether a given grid of uncovered, correctly flagged, and unknown
squares, the labels of the foremost also given, has an arrangement of mines
for which it is possible within the rules of the game. The argument is constructive, a method to quickly convert any Boolean circuit into such a grid
that is possible if and only if the circuit is satisfiable; membership in NP
is established by using the arrangement of mines as a certificate. If, however, a minesweeper board is already guaranteed to be consistent, solving it
is not known to be NP-complete, but interestingly it has been proven to be
co-NP-complete.
42
60. MORLEY’S TRISECTOR THEOREM
In plane geometry, Morley’s trisector theorem states that in any triangle, the three points of intersection of the adjacent angle trisectors form an
equilateral triangle, called the first Morley triangle or simply the Morley
triangle. The theorem was discovered in 1899 by Anglo-American mathematician Frank Morley. It has various generalizations; in particular, if all of
the trisectors are intersected, one obtains four other equilateral triangles.
There are many proofs of Morley’s theorem, some of which are very technical. Several early proofs were based on delicate trigonometric calculations.
The first published geometric proof was given by M. T. Naraniengar in 1909.
Recent proofs include an algebraic proof by Alain Connes extending the theorem to general fields, and John Conway’s elementary geometry proof. The
latter starts with an equilateral triangle and shows that a triangle may be
built around it which will be similar to any selected triangle.
Morley’s theorem does not hold in spherical and hyperbolic geometry.
61. N QUEENS PROBLEM
In how many independent ways, say Q(N ), N Queens can be arranged
in an N × N chess board so that none attacks another? Q(8) = 12 not
considering the symmetries.
In 1992, Demirrs, Rafraf, and Tanik published a method for converting
some magic squares into n-queens solutions, and vice versa.
43
62. NAGEL POINT
The Nagel point is a triangle center, one of the points associated with a
given triangle whose definition does not depend on the placement or scale of
the triangle. Given a triangle ABC, let TA , TB , and TC be the extouch points
in which the A-excircle meets line BC, the B-excircle meets line CA, and
C-excircle meets line AB, respectively. The lines ATA , BTB , CTC concur in
the Nagel point N of triangle ABC.
The Nagel point is named after Christian Heinrich von Nagel, a nineteenthcentury German mathematician, who wrote about it in 1836.
Another construction of the point TA is to start at A and trace around
triangle ABC half its perimeter, and similarly for TB and TC . Because of this
construction, the Nagel point is sometimes also called the bisected perimeter
point, and the segments ATA , BTB , CTC are called the triangle’s splitters.
The Nagel point is the isotomic conjugate of the Gergonne point. The
Nagel point, the centroid, and the incenter are collinear on a line called the
Nagel line. The incenter is the Nagel point of the medial triangle; equivalently, the Nagel point is the incenter of the anticomplementary triangle.
44
63. NAPOLEON’S THEOREM
Napoleon’s theorem states that if equilateral triangles are constructed on
the sides of any triangle, either all outward, or all inward, the centres of those
equilateral triangles themselves form an equilateral triangle.
The triangle thus formed is called the Napoleon triangle (inner and outer).
The difference in area of these two triangles equals the area of the original
triangle.
The theorem is often attributed to Napoleon Bonaparte (1769 to 1821).
However, it may just date back to W. Rutherford’s 1825 question published in
The Ladies’ Diary, four years after the French emperor’s death. Plainly there
is no reference to Napoleon in either the question or the published responses,
which appeared a year later in 1826, though the Editor evidently omitted
some submissions. Also Rutherford himself does not appear amongst the
named solvers. The first known reference to this result as Napoleon’s theorem
appears in Faifofer’s 17th Edition of Elementi di Geometria published in 1911.
45
64. NINE-POINT CIRCLE
The nine-point circle is a circle that can be constructed for any given
triangle. It is so named because it passes through nine significant concyclic
points defined from the triangle. These nine points are:
The midpoint of each side of the triangle
The foot of each altitude
The midpoint of the line segment from each vertex of the triangle to the
orthocenter (where the three altitudes meet; these line segments lie on their
respective altitudes).
The nine-point circle is also known as Feuerbach’s circle, Euler’s circle,
Terquem’s circle, the six-points circle, the twelve-points circle, the n-point
circle, the medioscribed circle, the mid circle or the circum-midcircle. Its
center is the nine-point center of the triangle.
In 1822 Karl Feuerbach discovered that any triangle’s nine-point circle is
externally tangent to that triangle’s three excircles and internally tangent to
its incircle; this result is known as Feuerbach’s theorem. He proved that:
‘... the circle which passes through the feet of the altitudes of a triangle
is tangent to all four circles which in turn are tangent to the three sides of
the triangle...’ (Feuerbach 1822)
The triangle center at which the incircle and the nine-point circle touch
is called the Feuerbach point.
46
65. NORMAL NUMBER
A normal number is a real number whose infinite sequence of digits in
every base b is distributed uniformly in the sense that each of the b digit
values has the same natural density 1/b, also all possible b2 pairs of digits
are equally likely with density b−2 , all b3 triplets of digits equally likely with
density b−3 , etc.
Intuitively this means that no digit, or combination of digits, occurs more
frequently than any other, and this is true whether the number is written in
base 10, binary, or any other base. A normal number can be thought of as an
infinite sequence of coin flips (binary) or rolls of a die (base 6). Even though
there will be sequences such as 10, 100, or more consecutive tails (binary)
or fives (base 6) or even 10, 100, or more repetitions of a sequence such as
tail-head (two consecutive coin flips) or 6-1 (two consecutive rolls of a die),
there will also be equally many of any other sequence of equal length. No
digit or sequence is ‘favored’.
While a general proof can be given that almost all real numbers are
normal, in the sense that the set of exceptions has Lebesgue measure zero,
this proof is not constructive and only very few specific numbers have been
shown
to be normal. For example, it is widely believed that the numbers
√
2, π, and e are normal, but a proof remains elusive.
47
66. OH! I FORGOT
In 1868, Smith returned to the geometrical researches which had first
occupied his attention. For a memoir on ”Certain cubic and biquadratic
problems” the Royal Academy of Sciences of Berlin awarded him the Steiner
prize.
In February, 1882, Smith was surprised to see in the Comptes rendus that
the subject proposed by the Paris Academy of Science for the Grand prix
des sciences mathmatiques was the theory of the decomposition of integer
numbers into a sum of five squares; and that the attention of competitors
was directed to the results announced without demonstration by Eisenstein,
whereas nothing was said about his papers dealing with the same subject in
the Proceedings of the Royal Society. He wrote to M. Hermite calling his
attention to what he had published; in reply he was assured that the members
of the commission did not know of the existence of his papers, and he was
advised to complete his demonstrations and submit the memoir according to
the rules of the competition. According to the rules each manuscript bears a
motto, and the corresponding envelope containing the name of the successful
author is opened. There were still three months before the closing of the
concours (1 June 1882) and Smith set to work, prepared the memoir and
despatched it in time.
Two months after Smith’s death, the Paris Academy made their award.
Two of the three memoirs sent in were judged worthy of the prize. When the
envelopes were opened, the authors were found to be Smith and Minkowski,
a young mathematician of Koenigsberg, Prussia. No notice was taken of
Smith’s previous publication on the subject, and M. Hermite on being written
to, said that he forgot to bring the matter to the notice of the commission.
48
67. PANDIGITAL PRIME
A pandigital number is an integer that in a given base has among its
significant digits each digit used in the base at least once. For example,
1223334444555567890 is a pandigital number in base 10. The first few
pandigital base 10 numbers are given by : 1023456789, 1023456798, 1023456879,
1023456897, 1023456978, 1023456987, 1023457689.
No base 10 pandigital number can be a prime number if it doesn’t have
redundant digits. The sum of the digits 0 to 9 is 45, passing the divisibility
rule for both 3 and 9. The first base 10 pandigital prime is 10123457689.
49
68. PAUL ERDOS
Paul Erdos (Hungarian: 26 March 1913 to 20 September 1996) was a
Hungarian mathematician. He was one of the most prolific mathematicians
of the 20th century, but also known for his social practice of mathematics with more than 500 collaborators and eccentric lifestyle. Erdos pursued
problems in combinatorics, graph theory, number theory, classical analysis,
approximation theory, set theory, and probability theory.
Possessions meant little to Erdos; most of his belongings would fit in a
suitcase, as dictated by his itinerant lifestyle. Awards and other earnings were
generally donated to people in need and various worthy causes. He spent most
of his life as a vagabond, traveling between scientific conferences, universities
and the homes of colleagues all over the world. He earned enough in stipends
from universities as a guest lecturer, and from various mathematical awards
to fund his travels and basic needs; money left over he used to fund cash
prizes for proofs of ”Erdos problems” (see below). He would typically show
up at a colleague’s doorstep and announce ”my brain is open”, staying long
enough to collaborate on a few papers before moving on a few days later. In
many cases, he would ask the current collaborator about whom to visit next.
Because of his prolific output, friends created the Erdos number as a
tribute. An Erdos number describes a person’s degree of separation from
Erdos himself, based on their collaboration with him, or with another who
has their own Erdos number. Erdos alone was assigned the Erdos number of
0 for being himself, while his immediate collaborators could claim an Erdos
number of 1, their collaborators have Erdos number at most 2, and so on.
Approximately 200,000 mathematicians have an assigned Erdos number, and
some have estimated that 90 percent of the world’s active mathematicians
have an Erdos number smaller than 8 not surprising in light of the small world
phenomenon. Due to collaborations with mathematicians, many scientists
in fields such as physics, engineering, biology, and economics have Erdos
numbers as well.
50
69. PELL’S EQUATION
Pell’s equation is any Diophantine equation of the form x2 − ny 2 = 1,
where n is a given positive nonsquare integer and integer solutions are sought
for x and y.
Joseph Louis Lagrange proved that, as long as n is not a perfect square,
Pell’s equation has infinitely many distinct integer solutions. These solutions
may be used to accurately approximate the square root of n by rational
numbers of the form x/y.
This equation was first studied extensively in India, starting with Brahmagupta, who developed the chakravala method to solve Pell’s equation and
other quadratic indeterminate equations in his Brahma Sphuta Siddhanta
in 628, about a thousand years before Pell’s time. His Brahma Sphuta Siddhanta was translated into Arabic in 773 and was subsequently translated
into Latin in 1126. Bhaskara II in the 12th century and Narayana Pandit in
the 14th century both found general solutions to Pell’s equation and other
quadratic indeterminate equations.
Solutions to specific examples of the Pell equation, such as the Pell numbers arising from the equation with n = 2, had been known for much longer,
since the time of Pythagoras in Greece and to a similar date in India. The
name of Pell’s equation arose from Leonhard Euler’s mistakenly attributing
its study to John Pell. Euler was aware of the work of Lord Brouncker, the
first European mathematician to find a general solution of the equation, but
apparently confused Brouncker with Pell.
51
70. PENROSE TILING
A Penrose tiling is a non-periodic tiling generated by an aperiodic set
of prototiles. Penrose tilings are named after mathematician and physicist
Roger Penrose, who investigated these sets in the 1970s. The aperiodicity of
the Penrose prototiles implies that a shifted copy of a Penrose tiling will never
match the original. A Penrose tiling may be constructed so as to exhibit both
reflection symmetry and fivefold rotational symmetry.
A Penrose tiling has many remarkable properties, most notably:
(1) It is non-periodic, which means that it lacks any translational symmetry.
(2) It is self-similar, so the same patterns occur at larger and larger scales.
Thus, the tiling can be obtained through ‘inflation’ or ‘deflation’ and any
finite patch from the tiling occurs infinitely many times.
(3) It is a quasicrystal: implemented as a physical structure a Penrose
tiling will produce Bragg diffraction and its diffractogram reveals both the
fivefold symmetry and the underlying long range order.
Various methods to construct Penrose tilings have been discovered, including matching rules, substitutions or subdivision rules, cut and project
schemes and coverings.
52
71. PERFECT NUMBER
In number theory, a perfect number is a positive integer that is equal to
the sum of its proper positive divisors, that is, the sum of its positive divisors
excluding the number itself (also known as its aliquot sum).
This definition is ancient, appearing as early as Euclid’s Elements where
it is called perfect, ideal, or complete number. Euclid also proved a formation
rule whereby p(p + 1)/2 is an even perfect number whenever p is what is now
called a Mersenne prime. Much later, Euler proved that all even perfect
numbers are of this form. This is known as the EuclidEuler theorem. For
example, the first four perfect numbers are generated by the formula 2p−1 (2p −
1), with p a prime number, as follows:
for p = 2 : 21 (22 − 1) = 6
for p = 3 : 22 (23 − 1) = 28
for p = 5 : 24 (25 − 1) = 496
for p = 7 : 26 (27 − 1) = 8128.
It is not known whether there are any odd perfect numbers, nor whether
infinitely many perfect numbers exist. Settling the existence of odd perfect
number is the oldest unresolved problem in today’s Mathematics. In 1888,
Sylvester stated: ‘...a prolonged meditation on the subject has satisfied me
that the existence of any one such [odd perfect number] its escape, so to say,
from the complex web of conditions which hem it in on all sides would be
little short of a miracle’.
53
72. PROBLEM OF APPOLLONIUS
Apollonius’s problem is to construct circles that are tangent to three given
circles in a plane. Apollonius of Perga (ca. 262 BC ca. 190 BC) posed and
solved this famous problem in his work ‘Tangencies’; this work has been lost,
but a 4th-century report of his results by Pappus of Alexandria has survived.
Three given circles generically have eight different circles that are tangent
to them and each solution circle encloses or excludes the three given circles
in a different way: in each solution, a different subset of the three circles is
enclosed (its complement is excluded) and there are 8 subsets of a set whose
cardinality is 3, since 8 = 23 .
However the general statement of Apollonius’ problem is to construct
one or more circles that are tangent to three given objects in a plane, where
an object may be a line, a point or a circle of any size. These objects
may be arranged in any way and may cross one another; however, they are
usually taken to be distinct, meaning that they do not coincide. Solutions
to Apollonius’ problem are sometimes called Apollonius circles, although the
term is also used for other types of circles associated with Apollonius.
54
73. PROF. ANIL BHATTACHARYA
In statistics, the Bhattacharyya distance measures the similarity of two
discrete or continuous probability distributions. It is closely related to the
Bhattacharyya coefficient which is a measure of the amount of overlap between two statistical samples or populations. Both measures are named after
Anil Kumar Bhattacharya, a statistician who worked in the 1930s at the Indian Statistical Institute. The coefficient can be used to determine the relative closeness of the two samples being considered. It is used to measure the
separability of classes in classification and it is considered to be more reliable
than the Mahalanobis distance, as the Mahalanobis distance is a particular
case of the Bhattacharyya distance when the standard deviations of the two
classes are the same. Therefore, when two classes have similar means but
different standard deviations, the Mahalanobis distance would tend to zero,
however, the Bhattacharyya distance would grow depending on the difference
between the standard deviations.
76. PYTHAGOREAN THEOREM IN ANCIENT INDIA
‘Another standard would involve,’ he adds, ‘the requirement of a document that explicitly states the Pythagorean theorem – the geometric theorem.
That first occurs about 800 BC in India in the Shuba Sutra of Baudhayan.’
Dr Manjul Bhargava (Fields Medal winner and Princeton University Professor)
55
75. QUANTUM COMPUTING
Quantum computing studies theoretical computation systems, quantum
computers, that make direct use of quantum-mechanical phenomena, such as
superposition and entanglement, to perform operations on data. Quantum
computers are different from digital computers based on transistors. Whereas
digital computers require data to be encoded into binary digits (bits), each
of which is always in one of two definite states (0 or 1), quantum computation uses qubits (quantum bits), which can be in superpositions of states. A
quantum Turing machine is a theoretical model of such a computer, and is
also known as the universal quantum computer. Quantum computers share
theoretical similarities with non-deterministic and probabilistic computers.
The field of quantum computing was initiated by the work of Yuri Manin
in 1980, Richard Feynman in 1982, and David Deutsch. A quantum computer with spins as quantum bits was also formulated for use as a quantum
spacetime in 1968.
As of 2015, the development of actual quantum computers is still in its
infancy, but experiments have been carried out in which quantum computational operations were executed on a very small number of qubits. Both
practical and theoretical research continues, and many national governments
and military agencies are funding quantum computing research in an effort
to develop quantum computers for civilian, business, trade, and national
security purposes, such as cryptanalysis.
Large-scale quantum computers will be able to solve certain problems
much more quickly than any classical computers that use even the best currently known algorithms, like integer factorization using Shor’s algorithm
or the simulation of quantum many-body systems. There exist quantum
algorithms, such as Simon’s algorithm, that run faster than any possible
probabilistic classical algorithm. Given sufficient computational resources,
however, a classical computer could be made to simulate any quantum algorithm, as quantum computation does not violate the ChurchTuring thesis.
56
76. QUATERNION
Quaternion algebra was introduced by Hamilton in 1843. Important precursors to this work included Euler’s four-square identity (1748) and Olinde
Rodrigues’ parameterization of general rotations by four parameters (1840),
but neither of these writers treated the four-parameter rotations as an algebra. Carl Friedrich Gauss had also discovered quaternions in 1819, but this
work was not published until 1900.
Hamilton knew that the complex numbers could be interpreted as points
in a plane, and he was looking for a way to do the same for points in threedimensional space. Points in space can be represented by their coordinates,
which are triples of numbers, and for many years he had known how to add
and subtract triples of numbers. However, Hamilton had been stuck on the
problem of multiplication and division for a long time. He could not figure
out how to calculate the quotient of the coordinates of two points in space.
The great breakthrough in quaternions finally came on Monday 16 October 1843 in Dublin, when Hamilton was on his way to the Royal Irish
Academy where he was going to preside at a council meeting. As he walked
along the towpath of the Royal Canal with his wife, the concepts behind
quaternions were taking shape in his mind. When the answer dawned on
him, Hamilton could not resist the urge to carve the formula for the quaternions, i2 = j 2 = k 2 = ijk = −1, into the stone of Brougham Bridge as he
paused on it.
57
77. QUESTION MARK FUNCTION ?(x)
The question mark function is a strictly increasing and continuous, but
not absolutely continuous function. The derivative vanishes on the rational
numbers. There are several constructions for a measure that, when integrated, yields the question mark function. One such construction is obtained
by measuring the density of the Farey numbers on the real number line. The
question mark measure is the prototypical example of what are sometimes
referred to as multi-fractal measures.
The question mark function maps rational numbers to dyadic rational
numbers, meaning those whose base two representation terminates, as may
be proven by induction from the recursive construction outlined above. It
maps quadratic irrationals to non-dyadic rational numbers. It is an odd
function, and satisfies the functional equation ?(x+1) =?(x)+1; consequently
x →?(x) − x is an odd periodic function with period one. If ?(x) is irrational,
then x is either algebraic of degree greater than two, or transcendental.
The question mark function has fixed points at 0, 1/2 and 1, and at least
two more, symmetric about the midpoint. One is approximately 0.42037.
The graph of Minkowski question mark function is a special case of fractal
curves known as de Rham curves.
58
78. RAMANUJAN PRIME
A Ramanujan prime is a prime number that satisfies a result proven by
Srinivasa Ramanujan relating to the prime-counting function.
In 1919, Ramanujan published a new proof of Bertrand’s postulate which,
as he notes, was first proved by Chebyshev. At the end of the two-page
published paper, Ramanujan derived a generalized result, and that is: π(x)−
π(x/2) = 1, 2, 3, 4, 5, · · · for all x = 2, 11, 17, 29, 41, · · · respectively, where
π(x) is the prime-counting function, equal to the number of primes less than
or equal to x.
The converse of this result is the definition of Ramanujan primes: The
nth Ramanujan prime is the least integer Rn for which π(x) − π(x/2) ≥ n,
for all x ≥ Rn . The first five Ramanujan primes are thus 2, 11, 17, 29, and
41. Equivalently, Ramanujan primes are the least integers Rn for which there
are at least n primes between x and x/2 for all x ≥ Rn .
Note that the integer Rn is necessarily a prime number: π(x) − π(x/2)
and, hence, π(x) must increase by obtaining another prime at x ≥ Rn . Since
π(x) − π(x/2) can increase by at most 1, π(Rn ) − π(Rn /2) = n.
59
79. RAMSEY NUMBER
The Ramsey number R(m, n) gives the solution to the party problem,
which asks the minimum number of guests R(m, n) that must be invited so
that at least m will know each other or at least n will not know each other.
In the language of graph theory, the Ramsey number is the minimum
number of vertices v = R(m, n) such that all undirected simple graphs of
order v contain a clique of order m or an independent set of order n.
Ramsey’s theorem states that such a number exists for all m and n. Till
recent times the exact values of the following Ramsey Numbers are known
to us.
m n R(m, n) Reference
3 3
6
Greenwood and Gleason 1955
3 4
9
Greenwood and Gleason 1955
3 5
14
Greenwood and Gleason 1955
3 6
18
Graver and Yackel 1968
3 7
23
Kalbfleisch 1966
3 8
28
McKay and Min 1992
3 9
36
Grinstead and Roberts 1982
4 4
18
Greenwood and Gleason 1955
4 5
25
McKay and Radziszowski 1995
80. RANDOM WALK IN MULTIDIMENSIONS
Let p(d) denote the probability of eventual return in a d-dimensional
symmetric random walk. Then, p(1) = 1, p(2) = 1, p(3) = 0.34, p(4) =
0.20, p(5) = 0.136, p(6) = 0.105, p(7) = 0.0858, p(8) = 0.0729
60
81. REGULAR HEPTADECAGON
The regular heptadecagon is a constructible polygon, that is, one that can
be constructed using a compass and unmarked straightedge, as was shown
by Carl Friedrich Gauss in 1796 at the age of 19. This proof represented the
first progress in regular polygon construction in over 2000 years.
Gauss’s proof relies firstly on the fact that constructibility is equivalent
to expressibility of the trigonometric functions of the common angle in terms
of arithmetic operations and square root extractions, and secondly on his
proof that this can be done if the odd prime factors of the number of sides
are distinct Fermat primes, which are of the form Fn =22n +1. Constructing a
regular heptadecagon thus involves finding the cosine of 2π/17 in terms of
square roots, which involves an equation of degree 17, a Fermat prime.
Constructions for the regular triangle and polygons with 2h times as
many sides had been given by Euclid, but constructions based on the Fermat
primes other than 3 and 5 were unknown to the ancients. The only known
Fermat primes today are Fn for n = 0, 1, 2, 3, 4. They are 3, 5, 17, 257, and
65537.
The first explicit construction of a heptadecagon was given by Johannes
Erchinger in 1825. Another method of construction uses Carlyle circles.
Based on the construction of the regular 17-gon, one can readily construct
n-gons with n being the product of 17 with 3 or 5 (or both) and any power of
2: a regular 51-gon, 85-gon or 255-gon and any regular n-gon with 2h times
as many sides.
61
82. RUBIK’S CUBE
In the mid-1970s, Erno Rubik worked at the Department of Interior Design at the Academy of Applied Arts and Crafts in Budapest. Although it is
widely reported that the Cube was built as a teaching tool to help his students understand 3D objects, his actual purpose was solving the structural
problem of moving the parts independently without the entire mechanism
falling apart. He did not realize that he had created a puzzle until the first
time he scrambled his new Cube and then tried to restore it. Rubik obtained
Hungarian patent HU170062 for his ‘Magic Cube’ in 1975. Rubik’s Cube was
first called the Magic Cube (Buvs kocka) in Hungary. The puzzle had not
been patented internationally within a year of the original patent. Patent
law then prevented the possibility of an international patent. Ideal wanted at
least a recognizable name to trademark; of course, that arrangement put Rubik in the spotlight because the Magic Cube was renamed after its inventor
in 1980.
The original (3 × 3 × 3) Rubik’s Cube has eight corners and twelve edges.
There are 8! (40,320) ways to arrange the corner cubes. Seven can be oriented
independently, and the orientation of the eighth depends on the preceding
seven, giving 37 (2,187) possibilities. There are 12!/2 (239,500,800) ways to
arrange the edges, since an even permutation of the corners implies an even
permutation of the edges as well. When arrangements of centres are also
permitted, as described below, the rule is that the combined arrangement of
corners, edges, and centres must be an even permutation. Eleven edges can
be flipped independently, with the flip of the twelfth depending on the preceding ones, giving 211 (2,048) possibilities. So the total number of possible
arrangements are
8! × 37 × (12!/2) × 211 = 43, 252, 003, 274, 489, 856, 000
which is approximately 43 quintillion.
The puzzle is often advertised as having only ‘billions’ of positions, as the
larger numbers are unfamiliar to many. To put this into perspective, if one
had as many standard sized Rubik’s Cubes as there are permutations, one
could cover the Earth’s surface 275 times.
62
83. SACCHERI QUADRILATERAL
A Saccheri quadrilateral (also known as a KhayyamSaccheri quadrilateral) is a quadrilateral with two equal sides perpendicular to the base. It
is named after Giovanni Gerolamo Saccheri, who used it extensively in his
book Euclides ab omni naevo vindicatus (literally Euclid Freed of Every
Flaw) first published in 1733, an attempt to prove the parallel postulate using the method Reductio ad absurdum. The first known consideration of the
Saccheri quadrilateral was by Omar Khayyam in the late 11th century, and
it may occasionally be referred to as the Khayyam-Saccheri quadrilateral.
Let ABCD be a Saccheri quadrilateral having AB as base, CA and DB
the equal sides that are perpendicular to the base and CD the summit. The
following properties are valid in any Saccheri quadrilateral in hyperbolic geometry.
1. The summit angles (at C and D) are equal and acute.
2. The summit is longer than the base.
3. The line segment joining the midpoint of the base and the midpoint
of the summit is mutually perpendicular to the base and summit.
4. The line segment joining the midpoints of the sides is not perpendicular
to either side.
5. The above two line segments are perpendicular to each other.
6. The line segment joining the midpoint of the base and the midpoint of
the summit divides the Saccheri quadrilateral into two Lambert quadrilaterals.
7. Two Saccheri quadrilaterals with congruent bases and congruent summit angles are congruent (i.e., the remaining pairs of corresponding parts are
congruent).
8. Two Saccheri quadrilaterals with congruent summits and congruent
summit angles are congruent.
63
84. SIERPINSKI TRIANGLE
The Sierpinski triangle, also with the original orthography Sierpinski, also
called the Sierpinski gasket or the Sierpinski Sieve, is a fractal and attractive
fixed set with the overall shape of an equilateral triangle, subdivided recursively into smaller equilateral triangles. Originally constructed as a curve,
this is one of the basic examples of self-similar sets, i.e. it is a mathematically generated pattern that can be reproducible at any magnification or
reduction.
Waclaw Sierpinski described the Sierpinski triangle in 1915. However,
similar patterns appear already in the 13th-century Cosmati mosaics in the
cathedral of Anagni, Italy, and other places of central Italy, for carpets in
many places such as the nave of the Roman Basilica of Santa Maria in
Cosmedin, and for isolated triangles positioned in rotae in several churches
and Basiliche. In the case of the isolated triangle, it is interesting to notice
that the iteration is at least of three levels.
64
85. SIEVE OF SUNDARAM
Sundaram’s sieve is based on an array of numbers formed from arithmetic progressions, in other words, sequences of numbers in which successive
numbers are a given fixed distance apart.
We start with the infinite sequence in which successive numbers are exactly three steps apart, and which starts with the number 4: 4, 7, 10, 13, 16,
19, 22, 25, ...
Next up is the sequence starting with the number 7 and with successive
numbers exactly 5 steps apart: 7, 12, 17, 22, 27, 32, 37, 42, ...
Now consider the sequence starting with the number 10 and with a difference of 7 between successive numbers: 10, 17, 24, 31, 38, 45, 52, 59, ...
One can see the pattern emerging: the starting point of each sequence
is three steps on from that of the previous one, and the distance between
successive numbers is the distance of the previous sequence plus 2. Writing
the sequences beneath each other, we get the following doubly infinite array:
4
7
10
13
16
..
7 10 13 16 19 22 25 ...
12 17 22 27 32 37 42 ...
17 24 31 38 45 52 59 ...
22 31 40 49 58 67 76 ...
27 38 49 60 71 82 93 ...
.. .. .. .. .. .. .. ...
The array exhibits a lot of structure: the first row is equal to the first
column, each row is an arithmetic progression, and the differences between
entries in two consecutive rows form the sequence 3, 5, 7, 9, 11, 13, 15, 17,
... which is itself an arithmetic progression.
Now for any number N in this array 2N+1 is not a prime, and conversely,
for any number N not in the array, the number 2N+1 is prime.
There are other methods for sieving out primes, including the famous
sieve of Eratosthenes and the lesser-known visual sieve. These methods are
altogether different, although their workings are equally mysterious and the
mathematics involved is similarly elementary.
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86. SIMSON LINE
Given a triangle ABC and a point P on its circumcircle, the three closest
points to P on lines AB, AC, and BC are collinear. The line through these
points is the Simson line of P, named for Robert Simson. The concept was
first published, however, by William Wallace in 1797.
The converse is also true; if the three closest points to P on three lines are
collinear, and no two of the lines are parallel, then P lies on the circumcircle
of the triangle formed by the three lines. Or in other words, the Simson line
of a triangle ABC and a point P is just the pedal triangle of ABC and P that
has degenerated into a straight line and this condition constrains the locus
of P to trace the circumcircle of triangle ABC.
87. SP NUMBER
In March 1999 issue of THE MATHEMATICAL GAZETTE, in an interesting article titled ”SP Numbers”, the author defines a positive integer n
to be an SP number if it equals the product of the sum of its digits and the
product of its digits. The only SP numbers are proved to be 1, 135 and 144.
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88. SPIROGRAPH
The mathematician Bruno Abakanowicz invented the spirograph between
1881 and 1900. It was used for calculating an area delimited by curves.
Drawing toys based on gears have been around since at least 1908, when
The Marvelous Wondergraph was advertised in the Sears catalog. An article
describing how to make a Wondergraph drawing machine appeared in the
Boys Mechanic publication in 1913. The Spirograph itself was developed by
the British engineer Denys Fisher, who exhibited at the 1965 Nuremberg
International Toy Fair. It was subsequently produced by his company. US
distribution rights were acquired by Kenner, Inc., which introduced it to the
United States market in 1966 and promoted it as a creative children’s toy.
In 2013 the Spirograph brand was re-launched in the USA by Kahootz
Toys and in Europe by Goldfish and Bison with products that returned to
the use of the original gears and wheels. The modern products use removable
putty in place of pins or are held down by hand to keep the stationary pieces
in place on the paper. The Spirograph was a 2014 Toy of the Year finalist
in 2 categories, almost 50 years after the toy was named Toy of the Year in
1967.
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89. SQUARING THE PLANE
In 1975, Solomon Golomb raised the question whether the whole plane
can be tiled by squares whose sizes are all natural numbers without repetitions, which he called the heterogeneous tiling conjecture. This problem
was later publicized by Martin Gardner in his Scientific American column
and appeared in several books, but it defied solution for over 30 years. In
Tilings and Patterns, published in 1987, Branko Grnbaum and G. C. Shephard stated that in all perfect integral tilings of the plane known at that
time, the sizes of the squares grew exponentially.
Recently, James Henle and Frederick Henle proved that this, in fact, can
be done. Their proof is constructive and proceeds by ”puffing up” an Lshaped region formed by two side-by-side and horizontally flush squares of
different sizes to a perfect tiling of a larger rectangular region, then adjoining
the square of the smallest size not yet used to get another, larger L-shaped
region. The squares added during the puffing up procedure have sizes that
have not yet appeared in the construction and the procedure is set up so that
the resulting rectangular regions are expanding in all four directions, which
leads to a tiling of the whole plane.
90. ST. PETERSBURG PARADOX
St. Petersburg paradox takes its name from its resolution by Daniel
Bernoulli, one-time resident of the eponymous Russian city, who published his
arguments in the Commentaries of the Imperial Academy of Science of Saint
Petersburg. However, the problem was invented by Daniel’s cousin Nicolas
Bernoulli who first stated it in a letter to Pierre Raymond de Montmort on
September 9, 1713.
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91. STIGLER’S LAW OF EPONYMY
Stigler’s law of eponymy is a process proposed by University of Chicago
statistics professor Stephen Stigler in his 1980 publication ‘Stiglers law of
eponymy’. In its simplest and strongest form it says: ‘No scientific discovery
is named after its original discoverer.’ Stigler named the sociologist Robert
K. Merton as the discoverer of ‘Stigler’s law’, so as to avoid this law about
laws disobeying its very own decree.
Historical acclaim for discoveries is often assigned to persons of note who
bring attention to an idea that is not yet widely known, whether or not
that person was its original inventor theories may be named long after their
discovery. In the case of eponymy, the idea becomes named after that person,
even if that person is acknowledged by historians of science not to be the one
who discovered it. Often, several people will arrive at a new idea around the
same time, as in the case of calculus. It can be dependent on the publicity
of the new work and the fame of its publisher as to whether the scientist’s
name becomes historically associated.
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92. SUM OF FOUR CUBES
Experiments led several mathematicians to conjecture that every integer
is the sum of four integer cubes. As yet, no proofs exits, but the evidence
is substantial and some progress have been made. It would be enough to
prove the statement for all positive integers. Computer calculations verify
that every positive integer up to 10 million is a sum of four cubes. And in
1966 V. Demjanenko proved that any number not of the form 9k+4 and 9k-4
is a sum of four cubes.
It is even possible that with a finite number of exceptions, every positive
integer might be the sum of four positive or zero cubes. In 2000 JeanMarc Deshouillers, Francois Hennecart, Bernard Landreau and I. Gusti Putu
Purnaba conjectured that the largest integer that cannot be so expressed is
7,373,170,279,850.
- Professor Stewart’s Incredible Numbers
93. TAXICAB NUMBER
In mathematics, the nth taxicab number, typically denoted Ta(n) or Taxicab(n), is defined as the smallest number that can be expressed as a sum of
two positive algebraic cubes in n distinct ways.
The name is derived from a conversation involving mathematicians G. H.
Hardy and Srinivasa Ramanujan. As told by Hardy: I remember once going
to see him when he was lying ill at Putney. I had ridden in taxi-cab No.
1729, and remarked that the number seemed to be rather a dull one, and
that I hoped it was not an unfavourable omen. ‘No’, he replied, ‘it is a very
interesting number; it is the smallest number expressible as the sum of two
[positive] cubes in two different ways.’
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So far, the following six taxicab numbers are known:
T a(1) = 2 = 13 + 13
T a(2) = 1729
= 13 + 123
= 93 + 103
T a(3) = 87539319
= 1673 + 4363
= 2283 + 4233
= 2553 + 4143
T a(4) = 6963472309248
= 24213 + 190833
= 54363 + 189483
= 102003 + 180723
= 133223 + 166303
T a(5) = 48988659276962496
= 387873 + 3657573
= 1078393 + 3627533
= 2052923 + 3429523
= 2214243 + 3365883
= 2315183 + 3319543
T a(6) = 24153319581254312065344
= 5821623 + 289062063
= 30641733 + 288948033
= 85192813 + 286574873
= 162180683 + 270932083
= 174924963 + 265904523
= 182899223 + 262243663
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94. THE BOOK
Proofs from THE BOOK is a book of mathematical proofs by Martin
Aigner and Gnter M. Ziegler. The book is dedicated to the mathematician
Paul Erdos, who often referred to ”The Book” in which God keeps the most
elegant proof of each mathematical theorem. During a lecture in 1985, Erdos
said, ”You don’t have to believe in God, but you should believe in The Book.”
Proofs from THE BOOK contains 32 sections (44 in the fifth edition),
each devoted to one theorem but often containing multiple proofs and related results. It spans a broad range of mathematical fields: number theory,
geometry, analysis, combinatorics and graph theory. Erdos himself made
many suggestions for the book, but died before its publication. The book is
illustrated by Karl Heinrich Hofmann. It has gone through five editions in
English, and has been translated into Persian, French, German, Hungarian,
Italian, Japanese, Chinese, Polish, Portuguese, Korean, Turkish, Russian and
Spanish.
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95. THREE BODY PROBLEM AND CHAOS THEORY
The problem of finding the general solution to the motion of more than
two orbiting bodies in the solar system had eluded mathematicians since
Newton’s time. This was known originally as the three-body problem and
later the n-body problem, where n is any number of more than two orbiting
bodies. The n-body solution was considered very important and challenging
at the close of the 19th century.
Indeed in 1887, in honour of his 60th birthday, Oscar II, King of Sweden,
advised by Gsta Mittag-Leffler, established a prize for anyone who could find
the solution to the problem. The announcement was quite specific: Given
a system of arbitrarily many mass points that attract each according to
Newton’s law, under the assumption that no two points ever collide, try to
find a representation of the coordinates of each point as a series in a variable
that is some known function of time and for all of whose values the series
converges uniformly.
In case the problem could not be solved, any other important contribution
to classical mechanics would then be considered to be prizeworthy. The prize
was finally awarded to Poincar, even though he did not solve the original
problem. One of the judges, the distinguished Karl Weierstrass, said, ”This
work cannot indeed be considered as furnishing the complete solution of the
question proposed, but that it is nevertheless of such importance that its
publication will inaugurate a new era in the history of celestial mechanics.”
The first version of Poincar’s contribution contained a serious error. The
version finally printed contained many important ideas which led to the theory of chaos.
The problem as stated originally was finally solved by Karl F. Sundman
for n = 3 in 1912 and was generalised to the case of n > 3 bodies by Qiudong
Wang in the 1990s.
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96. TRIANGLE CENTERS
Even though the ancient Greeks discovered the classic centers of a triangle
they had not formulated any definition of a triangle center. After the ancient
Greeks, several special points associated with a triangle like the Fermat point,
nine-point center, symmedian point, Gergonne point, and Feuerbach point
were discovered. During the revival of interest in triangle geometry in the
1980s it was noticed that these special points share some general properties
that now form the basis for a formal definition of triangle center.
In triangle geometry, a Hofstadter point is a special point associated
with every plane triangle. In fact there are several Hofstadter points associated with a triangle. All of them are triangle centers. Two of them,
the Hofstadter zero-point and Hofstadter one-point, are particularly interesting. They are two transcendental triangle centers. Hofstadter zero-point
is the center designated as X(360) and the Hofstafter one-point is the center
denoted as X(359) in Clark Kimberling’s Encyclopedia of Triangle Centers.
The Hofstadter zero-point was discovered by Douglas Hofstadter in 1992.
In geometry the Morley centers are two special points associated with a
plane triangle. Both of them are triangle centers. One of them called first
Morley center (or simply, the Morley center) is designated as X(356) in Clark
Kimberling’s Encyclopedia of Triangle Centers, while the other point called
second Morley center (or the 1st MorleyTaylorMarr Center) is designated as
X(357). The two points are also related to Morley’s trisector theorem which
was discovered by Frank Morley in around 1899. As of 11 November 2014,
Clark Kimberling’s Encyclopedia of Triangle Centers contains an annotated
list of 6,102 triangle centers.
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97. TRUNCATABLE PRIMES
In number theory, a left-truncatable prime is a prime number which contains no 0, and if the leading (”left”) digit is successively removed, then all
resulting numbers are prime. For example 9137, since 9137, 137, 37 and 7
are all prime. There are exactly 4260 decimal left-truncatable primes and
the largest is the 24-digit 357686312646216567629137.
A right-truncatable prime is a prime which remains prime when the last
(”right”) digit is successively removed. For example 7393, since 7393, 739,
73, 7 are all prime. There are 83 right-truncatable primes and the largest is
the 8-digit 73939133.
There are 15 primes which are both left-truncatable and right-truncatable.
They have been called two-sided primes. The complete list is 2, 3, 5, 7, 23,
37, 53, 73, 313, 317, 373, 797, 3137, 3797, 739397.
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98. ULAM SPIRAL
The Ulam spiral, or prime spiral, in other languages also called the Ulam
Cloth, is a simple method of visualizing the prime numbers that reveals the
apparent tendency of certain quadratic polynomials to generate unusually
large numbers of primes.
It was discovered by the mathematician Stanislaw Ulam in 1963, while
he was doodling during the presentation of a ‘long and very boring paper’ at
a scientific meeting. Shortly afterwards, in an early application of computer
graphics, Ulam with collaborators Myron Stein and Mark Wells used MANIAC II at Los Alamos Scientific Laboratory to produce pictures of the spiral
for numbers up to 65,000. In March of the following year, Martin Gardner
wrote about the Ulam spiral in his Mathematical Games column; the Ulam
spiral featured on the front cover of the issue of Scientific American in which
the column appeared.
In an addendum to the Scientific American column, Gardner mentions
work of the herpetologist Laurence M. Klauber on two dimensional arrays of
prime numbers for finding prime-rich quadratic polynomials which was presented at a meeting of the Mathematical Association of America in 1932more
than thirty years prior to Ulam’s discovery. Unlike Ulam’s array, Klauber’s
was not a spiral. Its shape was also triangular rather than square.
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99. UNEXPECTED HANGING PARADOX
The unexpected hanging paradox or hangman paradox is a paradox about
a person’s expectations about the timing of a future event that he is told will
occur at an unexpected time. The paradox is variously applied to a prisoner’s
hanging, or a surprise school test.
The paradox has been described as follows:
A judge tells a condemned prisoner that he will be hanged at noon on one
weekday in the following week but that the execution will be a surprise to
the prisoner. He will not know the day of the hanging until the executioner
knocks on his cell door at noon that day.
Having reflected on his sentence, the prisoner draws the conclusion that
he will escape from the hanging. His reasoning is in several parts. He begins
by concluding that the ”surprise hanging” can’t be on Friday, as if he hasn’t
been hanged by Thursday, there is only one day left - and so it won’t be a
surprise if he’s hanged on Friday. Since the judge’s sentence stipulated that
the hanging would be a surprise to him, he concludes it cannot occur on
Friday.
He then reasons that the surprise hanging cannot be on Thursday either,
because Friday has already been eliminated and if he hasn’t been hanged by
Wednesday night, the hanging must occur on Thursday, making a Thursday
hanging not a surprise either. By similar reasoning he concludes that the
hanging can also not occur on Wednesday, Tuesday or Monday. Joyfully he
retires to his cell confident that the hanging will not occur at all.
The next week, the executioner knocks on the prisoner’s door at noon
on Wednesday which, despite all the above, was an utter surprise to him.
Everything the judge said came true.
Despite significant academic interest, there is no consensus on its precise
nature and consequently a final correct resolution has not yet been established. One approach, offered by the logical school of thought, suggests that
the problem arises in a self-contradictory self-referencing statement at the
heart of the judge’s sentence. Another approach, offered by the epistemological school of thought, suggests the unexpected hanging paradox is an example of an epistemic paradox because it turns on our concept of knowledge.
Even though it is apparently simple, the paradox’s underlying complexities
have even led to it being called a ‘significant problem’ for philosophy.
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100. ZNAM’S PROBLEM
One solution to the improper Znm problem is easily provided for any
k, the first k terms of Sylvester’s sequence have the required property. Sun
(1983) showed that there is at least one solution to the (proper) Znm problem
for each k = 5. Sun’s solution is based on a recurrence similar to that for
Sylvester’s sequence, but with a different set of initial values. It is known
that there are only finitely many solutions for any fixed k. It is unknown
whether there are any solutions to Znm’s problem using only odd numbers,
and there remain several other open questions.
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