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Binomial Theorem for Positive Integral Indices

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Introduction to Binomial Theorem

Binomial is an algebraic expression that contains two distinct terms joined by an + or - sign. Let's take a look at the following example to comprehend the distinction between monomial, trinomial, and binomial.

 

  •  xy2 (Monomial term)

  • x-y, y+4 (Binomial term)

  • x2+y+1  (Trinomial term)h

 

The Binomial Theorem is different from a Binomial Distribution

The Binomial Theorem is a fast method to expand a binomial expression by (that is, raised to) huge powers. This is a significant topic(section) within algebra. It is applicable to Permutations and Combinations, Probability Matrices, Permutations, and Mathematical Induction. If you're studying for a competitive exam for university admissions or job applications, then this theorem will be essential for you because it is an essential and essential part of algebra. The chapter will teach you'll discover a shortcut that will enable you to calculate (x + y)n without having to multiply the binomial on its own the number of times.

 

A polynomial can be described as an algebraic expression composed by two or more words which are subtracted or added to, or multiplied. It can also contain variables, coefficients, exponents, constants, constants and operators like subtraction and addition. There are three kinds of polynomials: trinomial, binomial, and monomial.

 

Monomials are algebraic terms that have only one term while trinomials are expressions with precisely three terms.

 

The evidence of the binomial theorem has been known to human beings as early as in the fourth century BC. The binomial for cubes was employed during the 6th century AD. An Indian mathematician called Halayudha explained this technique using Pascal's triangular in the 10th century AD.

 

The precise formulation of this theory was made during the 12th century. Mathematicians applied these results into the next steps until Sir Isaac Newton generalized the binomial theorem to all exponents in 1665.

 

How do you Apply the Binomial Theorem?

There are some things to keep in mind when using the Binomial Theorem.

They include:

  • The exponents of the initial word (a) reduces the number n to zero.

  • Exponents for the term (b) goes from zero to N.

  • Exponent a is the sum of its exponents. as well as B is the same as.

  • Its coefficients for the first and the last term are both 1.

 

Application in Real-World Situations of The Binomial Theorem

  1. The binomial theorem is utilized extensively throughout Statistical and Probability Analyses. It's extremely useful since our economy relies on Statistics as well as Probability Analysis.

  2. In the higher mathematics and calculation field The Binomial Theorem is used in formulating equations' roots that are higher power. It is also used to prove many of the most important mathematical and physical equations.

  3. Within Weather Forecast Services.

  4. The process of evaluating candidates.

  5. Architecture, estimating cost in engineering projects.

 

The Binomial Theorem has many important topics.

  1. A Binomial Theorem to prove Positive Integral Index

  2. Pascal's Triangle

  3. General The term

  4. Middle In the Long

  5. Properties and Applications of the Binomial Theorem

 

Many interesting Properties of the Binomial Theorem

  • The sum of every and every word within the expanded (x+y)is 1+n.

  • The sum of the indices of the two variables in each word is n .

  • The above expansion can also be observed when the numbers x and y are complicated numbers.

  • It is the coefficient that all words are equal (equal in distance to each other) starting from until the point at which they reach their conclusion.

  • The binomial coefficients slowly increase to their highest value, then gradually diminish.

Before knowing about Binomial theorem let’s know about expansions,

We all know about these four important expansions: (l+ m)2, (l-m)2, (l + m)3, (l – m)3 

(l +m)2 = l2 + m2 + 2lm

(l-m)2 =  l2 + m2– 2lm

(l + m)3  =  l3 + m3 + 3lm(l + m)

(l – m)3  =  l3 – m3 – 3lm(l – m)

In the above expansions, 

 

We see that the total number of terms in the expansion is one more than the index. For example, in the expansion of (l+m)2, the number of terms is equal to 3 whereas the index of (l+ m)2 is equal to 2.

 

Powers of the first quantity ‘l’ generally go on decreasing by 1 whereas the powers of the second quantity which is ‘m’ increase by 1, in the successive terms.

 

In each term of the above expansion, the sum of the indices of l and m is the same and is equal to the index of l+m.

 

Using the above expansions, we can easily find out the values of,

 

(102)2 = (100 + 2)2

=1002 + 2 × 100 × 2 + 22

=10000 + 400 + 4 = 10404

Similarly,

(106)2 = (100 + 6)2

=1002+6 × 100 × 2 + 62

=10000 + 1200 + 36 = 11236

But, finding out the values of (103)6, (119)5 with repeated multiplication is difficult. This is the reason why we use binomial Theorem, it makes repeated multiplication easy.

 

What is the statement of Binomial Theorem for Positive Integral Indices -

The Binomial theorem states that “the total number of terms in an expansion is always one more than the index.”

 

For example, let us take an expansion of (a + b)n, the number of terms for the expansion is n+1 whereas the index of expression  (a + b)n is n, where n is any positive integer.

 

By using the Binomial theorem, we can expand (x +y)n, where n is equal to any  rational number. Let’s discuss the binomial theorem for positive integral indices.


Now, let us write the expansion of (x+y)n , 0≤n≤5,wherenisaninteger and let’s find the properties of binomial expansion:


(m+n)0=1

(m+n)1=(m+n)

(m+n)2=m2+2mn+n2

(m+n)3=m3+3m2 n+3mn2+ n3

(m+n)4=m4+4m3 n+6m 2n2+4mn3+n4

(m+n) 5=m5+5m4 n+10m3 n2+10m2 n3+5mn4+n5

 

What is the Binomial Theorem for Positive Integral Indices?

Binomial Theorem for index as positive integer n is denoted by :

 

(a +b)n = nC0​an+ nC1​an-1 b+nC1 an-1 b2 +............+ nCn-1 ​abn-1+ nCn​bn

 

  • We know that nCr   = \[\frac{n!}{r!(n−r)!}\], where n = a non-negative integer and 0≤r≤n. Also , the value of nCn and nC0 is equal to 1.

 

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Proof of Binomial Theorem -

Using mathematical induction, let us prove binomial theorem:

P(n): (a + b)n = nC0 an + nC1 an-1 b + nC2 an-2 b2 + .........nCn-1 a bn-1 + nCn bn

For n equal to 1,

P(1): (a+ b)1 = 1C0 a1 + 1C1 b1 = a + b, which is true.

Let us suppose that P(k) is true for any positive integer k.

 

Then, we get,

P(k): (a+b)k = kC0ak + kC1ak-1b + kC2ak-2b2 + .........kCk-1abk-1 + kCkbk............... Equation (1)

P(k+1) : (a+b)k+1 = (k+1)C0ak+1 + (k+1)C1akb + (k+1)C2ak-1b2 + ......... + (k+1)Ck+1bk+1

(a+b)k+1

(a+b)k+1 = (a+b) (a+b)k

= (a+b) (kC0ak + kC1ak-1b + kC2ak-2b2 + .........kCk-1abk-1 + kCkbk)

= kC0ak+1 + kC1akb + kC2ak-1b2 + .........kCk-1a2bk-1 + kCkabk + kC0akb + kC1ak-1b2 + kC2ak-2b3 + ......... kCk-1abk + kCkbk+1


Grouping the like terms, we get

 

= kC0ak+1 + (kC1 + kC0)akb + (kC2 + kC1 )ak-1b2 + .................. (kC1 +kCk-1 ) abk + kCkbk+1

kC0 =1 = k+1C0; kCr + kCr-1 = k+1Cr, and kCk = k+1 Ck+1 = 1

⇒ (a+b)k+1 = k+1C0ak+1 + (k+1)C1akb + (k+1)C2ak-1b2 + .................. (k+1)Ckabk + (k+1)Ck+1bk+1

P (k+1) is true whenever P(k) is true.

Therefore, P(n) is true for all positive integral values of n.


Formula for Pascal's Triangle -


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Pascal’s triangle can be defined as a triangular array of binomial coefficients. The structure of the Pascal triangle was developed by a French mathematician, Blaise Pascal.

In the above diagram we see that a particular pattern is followed. 

 

The diagram below shows how we get the values, it shows the flow of how the numbers are added in a Pascal’s triangle.

 

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We notice that in the triangle 3 = 1 + 2, 6 = 3 + 3 and so on.

In a Pascal triangle the terms in each row (n) generally represent the binomial coefficient for the index = n − 1 , where n = row

For example, Let us take the value of n = 5, then the binomial coefficients are  1 ,5,10, 10, 5 , 1.

 

We know that nCr   =\[\frac{n!}{r!(n−r)!}\], where n = a non - negative integer and 0 ≤ r ≤ n.

Also , the value of nCn and nC0 is equal to 1.

The Pascal’s Triangle can be now re-written,

 

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FAQs on Binomial Theorem for Positive Integral Indices

1. What is the Binomial Theorem for a positive integral index 'n'?

The Binomial Theorem for a positive integral index provides a formula for expanding an algebraic expression of the form (a + b)ⁿ, where 'n' is any positive integer. It states that the expansion results in a sum of n + 1 terms. This theorem is a fundamental tool in algebra for simplifying the powers of binomials without performing lengthy multiplications.

2. What is the general formula for the Binomial Theorem?

For any positive integer 'n', the expansion of (a + b)ⁿ is given by the formula:

(a + b)ⁿ = ⁿC₀aⁿb⁰ + ⁿC₁aⁿ⁻¹b¹ + ⁿC₂aⁿ⁻²b² + ... + ⁿCₙa⁰bⁿ

This can be written in summation notation as:

(a + b)ⁿ = Σ (from r=0 to n) ⁿCᵣ aⁿ⁻ʳ bʳ

where ⁿCᵣ is the binomial coefficient, calculated as n! / (r! * (n-r)!).

3. In the Binomial Theorem formula, what do the terms 'n' and 'r' in ⁿCᵣ represent?

In the binomial coefficient ⁿCᵣ, the variables represent specific parts of the expansion:

  • 'n' represents the exponent or the positive integral index to which the binomial (a + b) is raised.
  • 'r' represents the term number index in the expansion, which ranges from 0 for the first term to 'n' for the last term. It also indicates the power of the second term ('b') in that specific term of the expansion.

4. How is the Binomial Theorem for positive integral indices proven?

The standard method for proving the Binomial Theorem for any positive integral index 'n' is the Principle of Mathematical Induction. The proof involves two main steps:

  • Base Case: First, the theorem is verified to be true for the initial value, n = 1.
  • Inductive Step: It is then assumed that the theorem holds true for n = k (where k is any positive integer). Based on this assumption, it is mathematically proven that the theorem must also hold for the next integer, n = k + 1.

By satisfying both these conditions, the theorem is proven to be true for all positive integers 'n'.

5. Can you provide a simple example of expanding a binomial using the theorem?

Let's expand (x + 2)³ using the Binomial Theorem. Here, a = x, b = 2, and n = 3.

The expansion is:

(x + 2)³ = ³C₀x³(2)⁰ + ³C₁x²(2)¹ + ³C₂x¹(2)² + ³C₃x⁰(2)³

Calculating the coefficients:

  • ³C₀ = 1
  • ³C₁ = 3
  • ³C₂ = 3
  • ³C₃ = 1

Substituting these values back:

(x + 2)³ = (1)(x³)(1) + (3)(x²)(2) + (3)(x)(4) + (1)(1)(8)

(x + 2)³ = x³ + 6x² + 12x + 8

6. How does Pascal's Triangle relate to the coefficients in a binomial expansion?

Pascal's Triangle provides a direct and visual way to find the binomial coefficients (ⁿCᵣ) for an expansion. The numbers in the n-th row of the triangle (starting from row 0) correspond exactly to the coefficients in the expansion of (a + b)ⁿ. For example, the 4th row of Pascal's Triangle is 1, 4, 6, 4, 1, which are the exact coefficients for the expansion of (a + b)⁴.

7. What is the key difference between the Binomial Theorem for positive integral indices and for negative or fractional indices?

The primary difference lies in the nature of the expansion:

  • For Positive Integral Indices (n = 1, 2, 3, ...): The expansion results in a finite series with exactly (n + 1) terms. The formula is universally valid for any values of 'a' and 'b'.
  • For Negative or Fractional Indices: The expansion results in an infinite series. This expansion is only valid under specific conditions, typically that the absolute value of the second term in a binomial of the form (1+x) must be less than 1 (i.e., |x| < 1).

8. What are some important real-world applications of the Binomial Theorem?

The Binomial Theorem is not just an academic concept; it has significant applications in various fields:

  • Probability Theory: It is the foundation for the binomial distribution, used to calculate the probability of a certain number of successes in a series of independent trials.
  • Economics and Finance: It is used in financial models to calculate and forecast compound interest over multiple periods.
  • Computer Science: The theorem is used in developing algorithms for data processing and in cryptography.
  • Statistics: It helps in calculating statistical measures like mean and standard deviation for binomial distributions, essential for data analysis and forecasting.