The document discusses the binomial theorem, which provides a formula for expanding binomial expressions of the form (a + b)^n. It explains that the theorem allows calculating terms of the expansion without using repeated FOIL multiplication. Pascal's triangle is introduced as a way to determine the coefficients of each term. The key points of the binomial theorem are defined, including that the sum of the exponents in each term equals n. An example expansion is shown. Proofs of properties like the coefficients when r=0, 1, n-1, n are provided.
Factor Theorem and Remainder Theorem. Mathematics10 Project under Mrs. Marissa De Ocampo. Prepared by Danielle Diva, Ronalie Mejos, Rafael Vallejos and Mark Lenon Dacir of 10- Einstein. CNSTHS.
The document defines and provides examples of different types of matrices, including:
- Square matrices, where the number of rows equals the number of columns.
- Rectangular matrices, where the number of rows does not equal the number of columns.
- Row matrices, with only one row.
- Column matrices, with only one column.
- Null or zero matrices, with all elements equal to zero.
- Diagonal matrices, with all elements equal to zero except those on the main diagonal.
The document also discusses transpose, adjoint, and addition of matrices.
1) Cramer's rule can be used to solve systems of linear equations. It expresses the solution in terms of the determinants of the coefficient matrix and matrices with one column replaced by the constants vector.
2) If the determinant of the coefficient matrix is non-zero, there is a unique solution. If it is zero, there may be no solution or infinitely many solutions.
3) Three examples demonstrate applying Cramer's rule to find the unique solution, that there is no solution, and that there are infinitely many solutions, respectively.
The document discusses set theory and Venn diagrams. It defines sets, subsets, unions, intersections, and complements. Sets can be described using words, lists, or set-builder notation. Venn diagrams are used to visually represent relationships between sets, such as intersections, unions, and complements. Examples are provided to demonstrate finding intersections, unions, subsets, disjoint sets, and using Venn diagrams to solve problems involving set relationships.
Pascal's triangle is a triangular array of the binomial coefficients that arises from the binomial formulas. It was studied extensively by the French mathematician Blaise Pascal in the 17th century. The binomial theorem states that the expansion of (a + b)^n can be written as the sum of terms involving the binomial coefficients, with the coefficient of each term found using the appropriate entry in Pascal's triangle. Examples are provided of using the binomial theorem to expand expressions like (x + y)^5 and determining coefficients of specific terms in the expansions.
Here are the key steps to find the eigenvalues of the given matrix:
1) Write the characteristic equation: det(A - λI) = 0
2) Expand the determinant: (1-λ)(-2-λ) - 4 = 0
3) Simplify and factor: λ(λ + 1)(λ + 2) = 0
4) Find the roots: λ1 = 0, λ2 = -1, λ3 = -2
Therefore, the eigenvalues of the given matrix are -1 and -2.
The order of the given matrix is 2×3. So the maximum no. of elements is 2×3 = 6.
The correct option is B.
The element a32 belongs to 3rd row and 2nd column.
The correct option is B.
3. A matrix whose each diagonal element is unity and all other elements are zero is called
A) Identity matrix B) Unit matrix C) Scalar matrix D) Diagonal matrix
4. A matrix whose each row sums to unity is called
A) Row matrix B) Column matrix C) Unit matrix D) Stochastic matrix
5. The sum of all the elements on the principal diagonal of a square
The document discusses sequences and series. It defines what a sequence is, including the general term and different types of sequences such as arithmetic, finite, infinite, monotone, and piecewise sequences. It also defines arithmetic sequences specifically and provides the general term for an arithmetic sequence as an = a1 + (n - 1)d, where d is the common difference. Examples are given throughout to illustrate sequence concepts and properties.
This document defines and provides examples of metric spaces. It begins by introducing metrics as distance functions that satisfy certain properties like non-negativity and the triangle inequality. Examples of metric spaces given include the real numbers under the usual distance, the complex numbers, and the plane under various distance metrics like the Euclidean, taxi cab, and maximum metrics. It is noted that some functions like the minimum function are not valid metrics as they fail to satisfy all the required properties.
The document introduces complex numbers and their properties. It defines the imaginary unit i as the square root of -1. Complex numbers have both a real and imaginary part and can be added, subtracted, multiplied and divided. Powers of i rotate through the values of i, -1, -i, and 1, depending on whether the exponent is 1, 2, 3, or 4 modulo 4. Real and imaginary numbers are subsets of complex numbers.
1. A normed linear space is a vector space endowed with a norm that satisfies certain properties like non-negativity, identity of indiscernibles, and the triangle inequality.
2. A normed linear space endowed with a complete metric induced by its norm is called a Banach space.
3. Important properties of normed linear spaces and Banach spaces include the Minkowski inequality, Hölder's inequality, and the fact that quotients of Banach spaces by closed subspaces are also Banach spaces.
Matrix and its operation (addition, subtraction, multiplication)NirnayMukharjee
This document summarizes matrix operations including addition, subtraction, and multiplication. It defines a matrix as a rectangular arrangement of numbers in rows and columns. Matrix addition and subtraction can only be done on matrices with the same dimensions, by adding or subtracting the corresponding elements. Matrix multiplication involves multiplying the rows of the first matrix with the columns of the second matrix and summing the products to form the elements of the resulting matrix. Examples are provided to illustrate each operation.
The Rank-Nullity Theorem states that for any matrix A, the dimension of A's row space equals the dimension of its column space. The rank of A is defined as the dimension of its row space, while the nullity is the dimension of A's null space. The theorem also states that for any m×n matrix A, the rank plus the nullity equals the number of columns n.
This document provides an overview of determinants and Cramer's rule for solving systems of linear equations. It begins with examples of calculating the determinants of 2x2 and 3x3 matrices. It then explains how to use Cramer's rule to determine if a system has a unique solution, no solution, or infinitely many solutions. The document concludes with examples applying Cramer's rule and determinants to solve word problems involving systems of linear equations with two or three variables.
This presentation will be very helpful to learn about system of linear equations, and solving the system.It includes common terms related with the lesson and using of Cramer's rule.
Please download the PPT first and then navigate through slide with mouse clicks.
This document defines key concepts in measure theory and integration, including:
(1) A σ-algebra is a collection of subsets of a set X that is closed under complement and countable unions. A measurable space is a set X equipped with a σ-algebra.
(2) A measure on a measurable space assigns a value in [0,∞] to elements of the σ-algebra in a countably additive way. A measure space consists of a measurable space equipped with a measure.
(3) Examples of measure spaces include Lebesgue measure on R, counting measure, and Dirac measure. Properties of measures like monotonicity and limits of sequences are proved.
A study on number theory and its applicationsItishree Dash
A STUDY ON NUMBER THEORY AND ITS APPLICATIONS
Applications
Modular Arithmetic
Congruence and Pseudorandom Number
Congruence and CRT(Chinese Remainder Theorem)
Congruence and Cryptography
Here are the steps to solve this problem:
(a) Let t = time and y = height. Then the differential equation is:
dy/dt = -32 ft/sec^2
Integrate both sides:
∫dy = ∫-32 dt
y = -32t + C
Initial conditions: at t = 0, y = 0
0 = -32(0) + C
C = 0
Therefore, the equation is: y = -32t
When y = 0 (the maximum height), t = 0.625 sec
(b) Put t = 0.625 sec into the equation:
y = -32(0.625) = -20 ft
The binomial theorem provides a formula for expanding binomial expressions of the form (a + b)^n. It states that the terms of the expansion are determined by binomial coefficients. Pascal's triangle is a mathematical arrangement that shows the binomial coefficients and can be used to determine the coefficients in a binomial expansion. The proof of the binomial theorem uses mathematical induction to show that the formula holds true for any positive integer value of n.
The document provides an introduction to the binomial theorem. It defines binomial coefficients through the Pascal triangle and gives an explicit formula for computing them using factorials. The binomial theorem is then derived and stated, providing a formula for expanding expressions of the form (a + b)^n in terms of binomial coefficients. Several examples are worked out to demonstrate expanding expressions and finding coefficients using the binomial theorem. Applications to estimating interest calculations are also briefly discussed.
This document discusses binomial coefficients and their applications. It provides examples of using binomial coefficients to expand polynomial expressions like (x+y)n and calculate coefficients. Pascal's identity and triangle are also covered, with proofs that the binomial coefficients satisfy C(n+1,k)=C(n,k-1)+C(n,k).
The Binomial Theorem provides a formula for expanding binomial expressions of the form (a + b)^n. It states that the terms follow a predictable pattern based on exponents of the variables a and b and coefficients determined by Pascal's Triangle. The theorem was first discovered by Isaac Newton and can be written as a general formula involving factorials and binomial coefficients. It allows for the easy expansion of binomials without having to manually multiply out each term.
This document discusses factorials and the binomial theorem. It begins by defining factorials and providing examples of simplifying expressions with factorials. It then explains the binomial theorem, which gives a formula for expanding binomial expressions as binomial series. Specifically, it shows that the coefficients of terms in the binomial expansion can be determined using Pascal's triangle and factorials. It provides examples of using the binomial theorem to expand binomial expressions and find specific terms. In the examples, it demonstrates expanding binomials, finding coefficients, and determining terms with given exponents.
This document provides a review of exercises for a Math 112 final exam. It contains 31 multi-part exercises covering topics like graphing, logarithms, trigonometry, and word problems. The review is intended to help students practice problems similar to what may appear on the exam. The exam will have two parts, one allowing a calculator and one not.
10.2 using combinations and the binomial theoremhartcher
The document discusses combinations and the binomial theorem. It provides formulas for combinations and explains how to use Pascal's triangle to determine the coefficients in binomial expansions. Examples are worked out expanding (2x + 1)^4, (x - 2y)^3, and finding the coefficient of x^4 in (2x - 7)^9. The key points are that combinations involve choosing objects without regard to order, while permutations consider order; Pascal's triangle determines the coefficients in binomial expansions; and the powers of the terms follow a pattern of the first term decreasing and the second increasing.
The document provides an introduction to the binomial theorem. It begins by discussing binomial coefficients through the Pascal's triangle. It then derives an explicit formula for binomial coefficients using factorials. Finally, it states the binomial theorem and provides examples of using it to expand algebraic expressions and estimate numerical values.
This document is the preface to the instructor's manual for Classical Dynamics of Particles and Systems by Stephen T. Thornton and Jerry B. Marion. It provides an overview of the contents of the manual, which contains solutions to the end-of-chapter problems from the textbook. The preface notes there are now 509 problems and the solutions range from straightforward to challenging. It stresses the solutions are only for instructors and should not be shared with students.
This document discusses binomial expansion, which is a method for expanding binomials like (x + a)^n without lengthy multiplication. It introduces key concepts like Pascal's triangle for finding coefficients and the binomial theorem for determining the general pattern of terms in the expansion. Examples are worked through to demonstrate expanding specific binomials like (2x - 3y)^6 according to this method.
The document discusses various number theory concepts including:
- Types of numbers like natural numbers, whole numbers, integers, rational numbers, irrational numbers, prime numbers, and composite numbers.
- Euclid's division lemma and how it can be used to express integers in certain forms.
- Fundamental theorem of arithmetic and prime factorisation of numbers.
- Properties of rational numbers like their representation as fractions and different types of decimal expansions.
- Proofs that some numbers like square roots of 2 and 5 are irrational using contradiction.
This document provides information about determinants of square matrices:
- It defines the determinant of a matrix as a scalar value associated with the matrix. Determinants are computed using minors and cofactors.
- Properties of determinants are described, such as how determinants change with row/column operations or identical rows/columns.
- Examples are provided to demonstrate computing determinants by expanding along rows or columns and using cofactors and minors.
- Applications of determinants include finding the area of triangles and solving systems of linear equations.
This document explains binomial expansion, which is a method for expanding binomial expressions like (x + a)^n without lengthy multiplication. It introduces key concepts like Pascal's triangle to determine coefficients and the binomial theorem formula. As an example, it shows expanding (2x - 3y)^6 using the theorem.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
This document discusses inequalities, graphs, and proofs by induction. It contains:
1) Examples of solving inequalities and finding oblique asymptotes of graphs.
2) Considering the graph of y=x and showing various properties, including that it is always increasing and its derivative is always positive.
3) Using integrals to show that the area under the curve is greater than or equal to x.
4) Proving by induction that the sum of the first n positive integers is always between (n^2 + n)/2 and n^2.
So in summary, it covers solving inequalities graphically, properties of the line y=x, area under curves, and proofs
Here are the step-by-step workings:
1) 224-1 can be factorized as (212+1)(212-1)
2) 212-1 can be further factorized as (26+1)(26-1)
3) Therefore, 224-1 = (212+1)(26+1)(26-1)
4) The numbers between 60 and 70 that divide (26+1)(26-1) are 65 and 63.
So the two numbers that exactly divide 224-1 and lie between 60 and 70 are 65 and 63.
The document discusses solving quadratic equations by factorizing. It provides examples of factorizing quadratic expressions and equations to find their roots. In one example, the quadratic equation x^2 - 2x + 2 = 4 is factored into (x - 2)(x + 2) = 0, showing it has only one real root of x = 2. Another example factors a quadratic expression f(x) = x^2 - x - 1 to find its two roots of 1 and -1. The document demonstrates how to factorize quadratic expressions and equations in order to solve for their real roots.
1) This document discusses number theory concepts such as divisibility, prime numbers, greatest common divisor, and relatively prime numbers. It provides definitions, theorems, and examples to illustrate these concepts.
2) Key concepts covered include the division algorithm, expressing integers in distributed bases, finding the greatest common divisor using factorization or the Euclidean algorithm, and determining when two numbers are relatively prime.
3) Theorems and proofs are provided to demonstrate properties such as squares of odd numbers being odd, and the remainder when dividing a specific expression by 3. Examples show working through calculations and proofs step-by-step.
1) The document discusses number theory concepts such as divisibility, prime numbers, greatest common divisor, and relatively prime numbers.
2) It provides definitions, theorems, proofs, and examples to illustrate these concepts. For instance, it defines the greatest common divisor (GCD) as the largest integer that divides two numbers and proves properties of GCD.
3) The document presents three methods - using common divisors, prime factorizations, and the division algorithm - to calculate the GCD of two numbers.
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Binomial theorem
1. Binom
ial
The
Theorem
By iTutor.com
T- 1-855-694-8886
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2. Binomials
An expression in the form a + b is called a binomial, because it
is made of of two unlike terms.
We could use the FOIL method repeatedly to evaluate
expressions like (a + b)2, (a + b)3, or (a + b)4.
– (a + b)2 = a2 + 2ab + b2
– (a + b)3 = a3 + 3a2b + 3ab2 + b3
– (a + b)4 = a4 + 4a3b + 6a2b2 + 4ab3 + b4
But to evaluate to higher powers of (a + b)n would be a difficult
and tedious process.
For a binomial expansion of (a + b)n, look at the expansions
below:
– (a + b)2 = a2 + 2ab + b2
– (a + b)3 = a3 + 3a2b + 3ab2 + b3
– (a + b)4 = a4 + 4a3b + 6a2b2 + 4ab3 + b4
• Some simple patterns emerge by looking at these
examples:
– There are n + 1 terms, the first one is an and the last is bn.
– The exponent of a decreases by 1 for each term and the exponents of
b increase by 1.
– The sum of the exponents in each term is n.
3. For bigger exponents
To evaluate (a + b)8, we will find a way to calculate the value of
each coefficient.
(a + b)8= a8 + __a7b + __a6b2 + __a5b3 + __a4b4 + __a3b5 + __a2b6 + __ab7 + b8
– Pascal’s Triangle will allow us to figure out what the coefficients of
each term will be.
– The basic premise of Pascal’s Triangle is that every entry (other than
a 1) is the sum of the two entries diagonally above it.
The Factorial
In any of the examples we had done already, notice that the
coefficient of an and bn were each 1.
– Also, notice that the coefficient of an-1 and a were each n.
These values can be calculated by using factorials.
– n factorial is written as n! and calculated by multiplying the positive
whole numbers less than or equal to n.
Formula: For n≥1, n! = n • (n-1) • (n-2)• . . . • 3 • 2 • 1.
Example: 4! = 4 3 2 1 = 24
– Special cases: 0! = 1 and 1! = 1, to avoid division by zero in the next
formula.
4. The Binomial Coefficient
To find the coefficient of any term of (a + b)n, we
can apply factorials, using the formula:
n
!
Cn r
! !
r n r
n
r
– where n is the power of the binomial expansion, (a +
b)n, and
– r is the exponent of b for the specific term we are
Blaise Pascal calculating.
(1623-1662)
So, for the second term of (a + b)8, we would have n = 8 and r =
1 (because the second term is ___a7b).
– This procedure could be repeated for any term we choose, or all of the
terms, one after another.
– However, there is an easier way to calculate these coefficients.
Example :
7
4! 3!
7!
7 3
4! 3!
7!
(7 3)! 3!
• • •
C
(7 • 6 • 5 • 4) • (3 • 2 •
1)
7 • 6 • 5 •
4
35
(4 • 3 • 2 • 1) • (3 • 2 •
1)
4 • 3 • 2 •
1
5. Recall that a binomial has two terms...
(x + y)
The Binomial Theorem gives us a quick method to expand binomials
raised to powers such as… (x + y)0
(x + y)1 (x + y)2 (x + y)3
Study the following…
1
1 1
1 2 1
1 3 3 1
1 4 6 4 1
1 5 10 10 5 1
This triangle is called Pascal’s
Triangle (named after mathematician
Blaise Pascal).
Notice that row 5 comes from adding up row
4’s adjacent numbers.
(The first row is named row 0).
Row 0
Row 1
Row 2
Row 3
Row 4
Row 5
Row 6 1 6 15 20 15 6 1
This pattern will help us find the coefficients when we expand binomials...
6. What we will notice is that when r=0 and when r=n, then nCr=1, no
matter how big n becomes. This is because:
Note also that when r = 1 and r = (n-1):
So, the coefficients of the first and last terms will always be one.
– The second coefficient and next-to-last coefficient will be n.
(because the denominators of their formulas are equal)
nC0
n!
n 0!0!
n!
n!0!
1
nCn
n!
n n!n!
n!
0!n!
1
Finding coefficient
nC1
n!
n 1!1!
nn 1!
n 1!1!
n
nCn 1
n!
n n 1!n 1!
nn 1!
1!n 1!
n
7. Constructing Pascal’s Triangle
Continue evaluating nCr for n=2 and n=3.
When we include all the possible values of r such that 0≤r≤n, we
get the figure below:
n=0 0C0
n=1 1C0 1C1
n=2 2C0 2C1 2C2
n=3 3C0 3C1 3C2 3C3
n=4 4C0 4C1 4C2 4C3 4C4
n=5 5C0 5C1 5C2 5C3 5C4 5C5
n=6 6C0 6C1 6C2 6C3 6C4 6C5 6C6
9. Using Pascal’s Triangle
We can also use Pascal’s Triangle to expand binomials, such
as (x - 3)4.
The numbers in Pascal’s Triangle can be used to find the
coefficients in a binomial expansion.
For example, the coefficients in (x - 3)4 are represented by the
row of Pascal’s Triangle for n = 4.
x 34
4C0 x4
30
4C1 x3
31
4C2 x2
32
4C3 x1
33
4C4 x0
34
1 4 6 4 1
1x4 12x3 54x2 108x 81
1x4
1 4x3
3 6x2
9 4x1
271x0
81
10. The Binomial Theorem
1 1 ( )n n n n r r n n
n r x y x nx y C x y nxy y L L
n
C
The general idea of the Binomial Theorem is that:
– The term that contains ar in the expansion (a + b)n is
or
n !
! !
– It helps to remember that the sum of the exponents of each term of the
expansion is n. (In our formula, note that r + (n - r) = n.)
n
n r
arbn r
r n r a b
n r r
!
with
n r
( n r )! r
!
Example: Use the Binomial Theorem to expand (x4 + 2)3.
3 0 C 3 1 C 3 2 C 3 3 C 4 3 (x 2) 4 3 (x ) ( ) (2) 4 2 x 4 2 (x )(2) 3 (2)
1 4 3 ) (x 3 ) 2 ( ) ( 4 2 x 3 4 2 ) 2 )( (x 1 3 (2)
6 12 8 12 8 4 x x x
11. Find the eighth term in the expansion of (x + y)13 .
The eighth term is 13C7 x6y7.
13 7 C
Therefore,
(13 • 12 • 11 • 10 • 9 • 8) •
7!
6! 7!
13!
6! 7!
•
•
1716
13 • 12 • 11 • 10 • 9 •
8
6 • 5 • 4 • 3 • 2 •
1
the eighth term of (x + y)13 is 1716 x6y7.
Example:
Think of the first term of the expansion as x13y 0 .
The power of y is 1 less than the number of the term in the
expansion.
12. Proof of Binomial Theorem
Binomial theorem for any positive integer n,
n n n n n n n n a b c a c a b c a b c b ........ 2 2
n
n
2
1
0 1
Proof
The proof is obtained by applying principle of mathematical
induction.
Step: 1
Let the given statement be
n
n n n n n n n n f n ab c a c a b c a b c b ( ) : ........ 2 2
Check the result for n = 1 we have
n
2
1
0 1
f a b c a c a b a b (1) : 1 1 1
1
1 1
0
1 1
Thus Result is true for n =1
Step: 2 Let us assume that result is true for n = k
k k k k k k k k f k ab c a c a b c a b c b ( ) : ........ 2 2
k
k
2
1
0 1
13. Step: 3 We shall prove that f (k + 1) is also true,
k k k k k k k k f k a b c a c a b c a b c b
( 1) : 1 1 ........ k
1
1
1 2 1
2
1
1
1 1
0
k
Now,
k k a b (a b)(a b) 1
k
k k k k k k k a b c a c a b c a b c b ........ 2 2
k
2
1
0 1
From Step 2
c a c a b c a b ........
c ab
........
1
1
1 2
0 1
1 2
1 2
1
0
k
k
k k
k
k k k k k
k
k
k k k k k k k
c a b c a b c ab c b
1 2
k k k k k k k k
c a c c a b c c a b
1
1
1 0 2 1
1
0
. ..
.....
k
k
k k
k
k
k
k
c c ab c b
k k c c c c c c
1 by using 1, , and 1
1
1
0
1
k
k
k
k
r
k
r
k
r
14. k k k k k k k c a c a b c a b c ab c b
k
1 ........
Thus it has been proved that f(k+1) is true when ever f(k) is
true,
Therefore, by Principle of mathematical induction f(n) is true
for every Positive integer n.
1
1
1 2 1 1
2
1
1
1 1
0
k
k k
k
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