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Results on Binomial Theorem

Results on Binomial Theorem

Edited By Komal Miglani | Updated on Jul 02, 2025 08:01 PM IST

An expression with two terms is called the binomial expansion. In the case of higher degree expression, it is difficult to calculate it. In these cases, Binomial theorem can be used to calculate it manually. Binomial theorem is used for the expansion of a binomial expression with a higher degree. Binomial theorem is proved using the concept of mathematical induction. Apart from Mathematics, Binomial theorem is also used in statistical and financial data analysis.

Results on Binomial Theorem
Results on Binomial Theorem

This article is about some results on binomial theorem which falls under the broader category of Binomial Theorem and its applications. It is one of the important topics for competitive exams.

Binomial Theorem

Statement: If $n$ is any positive integer, then

$ (a + b)^n = \binom{n}{0} a^n + \binom{n}{1} a^{n - 1} b + \binom{n}{2} a^{n - 2} b^2 + \dots + \binom{n}{n - 1} a b^{n - 1} + \binom{n}{n} b^n $

Proof:

The proof is obtained by applying the principle of mathematical induction.

Let the given statement be:

$ P(n): (a + b)^n = \binom{n}{0} a^n + \binom{n}{1} a^{n-1} b + \binom{n}{2} a^{n-2} b^2 + \dots + \binom{n}{n-1} a b^{n-1} + \binom{n}{n} b^n $

For $ n = 1 $, we have:

$ P(1): (a + b)^1 = \binom{1}{0} a^1 + \binom{1}{1} b^1 = a + b $

Thus, $ P(1) $ is true.

Suppose $ P(k) $ is true for some positive integer $ k $, i.e.,

$ (a + b)^k = \binom{k}{0} a^k + \binom{k}{1} a^{k-1} b + \binom{k}{2} a^{k-2} b^2 + \dots + \binom{k}{k} b^k$

We shall prove that $ P(k + 1) $ is also true, i.e.,

$ (a + b)^{k + 1} = \binom{k+1}{0} a^{k+1} + \binom{k+1}{1} a^k b + \binom{k+1}{2} a^{k-1} b^2 + \dots + \binom{k+1}{k+1} b^{k+1} $

Now,

$ (a + b)^{k + 1} = (a + b)(a + b)^k $

$ = (a + b) \left[\binom{k}{0} a^k + \binom{k}{1} a^{k-1} b + \binom{k}{2} a^{k-2} b^2 + \dots + \binom{k}{k-1} a b^{k-1} + \binom{k}{k} b^k\right] $

[from (1)]

$ = \binom{k}{0} a^{k+1} + \binom{k}{1} a^k b + \binom{k}{2} a^{k-1} b^2 + \dots + \binom{k}{k-1} a^2 b^{k-1} + \binom{k}{k} a b^k $

$ + \binom{k}{0} a^k b + \binom{k}{1} a^{k-1} b^2 + \binom{k}{2} a^{k-2} b^3 + \dots + \binom{k}{k-1} a b^k + \binom{k}{k} b^{k+1} $

[by actual multiplication]

$ = \binom{k}{0} a^{k+1} + (\binom{k}{1} + \binom{k}{0}) a^k b + (\binom{k}{2} + \binom{k}{1}) a^{k-1} b^2 + \dots + (\binom{k}{k} + \binom{k}{k-1}) a b^k + \binom{k}{k} b^{k+1} $

[grouping like terms]

$ = \binom{k+1}{0} a^{k+1} + \binom{k+1}{1} a^k b + \binom{k+1}{2} a^{k-1} b^2 + \dots + \binom{k+1}{k} a b^k + \binom{k+1}{k+1} b^{k+1}$

(by using $ \binom{k+1}{0} = 1 $, $ \binom{k}{r} + \binom{k}{r-1} = \binom{k+1}{r} $, and $ \binom{k}{k} = 1 = \binom{k+1}{k+1} $)

Thus, it has been proved that $ P(k + 1) $ is true whenever $ P(k) $ is true. Therefore, by the principle of mathematical induction, $ P(n) $ is true for every positive integer $ n $.

Binomial Coefficient

The combination $\binom{n}{r}$ or ${ }^{\mathrm{n}} \mathrm{C}_{\mathrm{r}}$ occuring in the Binomial theorem is called a Binomial coefficient, where $\binom{n}{r}=C(n, r)={ }^n C_r=\frac{n!}{r!(n-r)!}$.

Theorems on Binomial Theorems

Theorem 1: $2 \leq\left(1+\frac{1}{n}\right)^n<3, \quad n \in \mathbb{N}$

Proof:

Expand, $\left(1+\frac{1}{n}\right)^n$ using binomial theorem

$\left(1+\frac{1}{n}\right)^n =1+n \frac{1}{n}+\frac{n(n-1)}{2!} \frac{1}{n^2}+\frac{n(n-1)(n-2)}{3!} \frac{1}{n^3}+\cdots+\frac{n(n-1)(n-2) \cdots[n-(n-1)]}{n!} \frac{1}{n^n} $

$=1+1+\frac{1}{2!}\left(1-\frac{1}{n}\right)+\frac{1}{3!}\left(1-\frac{1}{n}\right)\left(1-\frac{2}{n}\right)+\cdots+\frac{1}{n!}\left(1-\frac{1}{n}\right)\left(1-\frac{2}{n}\right) \cdots\left(1-\frac{n-1}{n}\right) $

$<1+1+\frac{1}{2!}+\frac{1}{3!}+\cdots+\frac{1}{n!} $

$<1+1+\frac{1}{2}+\frac{1}{2^2}+\frac{1}{2^3}+\cdots+\frac{1}{2^{n-1}}=1+1 \frac{\left\{1-\left(\frac{1}{2}\right)^n\right\}}{1-\frac{1}{2}}=1+2\left\{1-\left(\frac{1}{2}\right)^n\right\}=3-\frac{1}{2^{n-1}} $

Hence, from above

$2 \leq\left(3-\frac{1}{2^{n-1}}\right)<3, n \geq 1 $

$2 \leq \left(1+\frac{1}{n}\right)^n<3, n \geq 1 $

Theorem 2: $\left(\frac{n}{3}\right)^n<n!<\left(\frac{n}{2}\right)^n, n>6$

Recommended Video Based on Results on Binomial Theorem:

Solved Examples Based on Results on Binomial Theorem

Example 1: If $y=(x)^{3 x}$ for $\mathrm{x}>2$, which of the following is true?

1) $y<(3 x)$ !

2) $y<x!$

3) $(3 x)!<(1.5 x)^{3 x}$

4) Both 1 and 3

Solution:

As we know, $\left(\frac{n}{3}\right)^n<n!<\left(\frac{n}{2}\right)^n$, this result valid for $n>6$

Let $n=3 x$

Hence, $x=\frac{n}{3}$ hence, $n>6$

Now, ${ }^y=\left(\frac{n}{3}\right)^n$

Hence,

$\left(\frac{n}{3}\right)^n<n!<\left(\frac{n}{2}\right)^n $

$ \text { or, } $

$ (x)^{3 x}<(3 x)!<(1.5 x)^{3 x} $

Hence, the answer is option 4.

Example 2: What is the value of an integer just less than $y=\left(\frac{101}{100}\right)^{100}$ ?

1) $0$

2) $1 $

3) $2 $

4) $3 $

Solution:

$2 \leq\left(1+\frac{1}{n}\right)^n<3, \quad n \in \mathbb{N} $

Now,

$y=\left(\frac{101}{100}\right)^{100} $

It can be written as $y=\left(1+\frac{1}{100}\right)^{100}$

hence, $2 \leq y<3$

Hence, the answer is option 3.

Example 3: Suppose $\sum_{r=0}^{2023} r^{22023} C_r=2023 \times \alpha \times 2^{2022}$ Then the value of $\alpha$ is

1) $1012 $

2) $2010 $

3) $1320 $

4) $1200 $

Solution:

$\sum_{r=0}^n \mathrm{r}^{2 n} C_r $

$ =\sum_{r=0}^n r^2 \cdot \frac{n}{r}{ }^{n-1} C_{r-1} $

$ =n \sum_{r=1}^n\left((r-1)^{n-1} C_{r-1}+{ }^{n-1} C_{r-1}\right) $

$ =n \sum_{r=2}^n(n-1)^{n-2} C_{r-2}+n \sum_{r=1}^n{ }^{n-1} C_{r-1} $

$=n(n-1)\left[2^{n-2}\right]+n\left[2^{n-1}\right] $

$=2023 \cdot 2022 \cdot 2^{2021}+2023 \cdot 2^{2022} $

$=2023 \cdot 2^{2021}[2022+2] $

$=2023 \cdot 2^{2021} \cdot 2024 $

$=2023 \cdot 1012 \cdot 2^{2022} \Rightarrow \alpha=1012 $

Hence, the answer is $1012$.

Example 4: The value of the natural numbers $\underline{n}$ such that the inequality $2^n>2 n+1$ is valid:

1) For $n \geq 3$

2) For $n<3$

3) For $m$

4) For any $n$


Solution:

Check through the options, the condition $2^n>2 n+1$ is valid for $n \geq 3$.

Hence, the answer is option (1).

Example 5: The greater of the two numbers $100^{300}$ and $300!$ is ....

1) $300!$

2) $200!$

3) Both of the above

4) None of the above

Solution:

For $n>6$,

$ \left(\frac{n}{3}\right)^n<n!<\left(\frac{n}{2}\right)^n$

$ \Rightarrow \quad\left(\frac{n}{3}\right)^n<n! $

Putting $n=300$

$\therefore(100)^{300}<300! $

$\text { i.e. } 300! $

Hence, the answer is option (1).


Frequently Asked Questions (FAQs)

1. What is the Binomial Theorem?
The Binomial Theorem is a formula that allows us to expand expressions of the form (x + y)^n, where n is a positive integer. It provides a way to calculate the coefficients and terms of the expansion without having to multiply out the entire expression.
2. How does the Binomial Theorem relate to Pascal's Triangle?
The coefficients in the Binomial Theorem expansion correspond to the numbers in Pascal's Triangle. Each row of Pascal's Triangle represents the coefficients for a specific power of (x + y)^n, where n is the row number (starting from row 0).
3. What is the general form of the Binomial Theorem expansion?
The general form of the Binomial Theorem expansion for (x + y)^n is:
4. How do you calculate binomial coefficients?
Binomial coefficients C(n,r) can be calculated using the formula:
5. What is the significance of the term "binomial" in the Binomial Theorem?
The term "binomial" refers to an expression with two terms, such as (x + y). The Binomial Theorem specifically deals with raising these two-term expressions to a power and expanding them.
6. Can the Binomial Theorem be applied to expressions with more than two terms?
No, the Binomial Theorem is specifically for expressions with two terms (binomials). For expressions with more than two terms, you would need to use the Multinomial Theorem, which is a generalization of the Binomial Theorem.
7. How does the Binomial Theorem help in probability calculations?
The Binomial Theorem is useful in probability calculations, especially for binomial distributions. It helps calculate the probability of specific outcomes in situations with fixed number of independent trials, each with the same probability of success.
8. What happens to the coefficients in a binomial expansion as you move from left to right?
In a binomial expansion, the coefficients first increase and then decrease symmetrically. The largest coefficient(s) appear in the middle of the expansion. This pattern is reflected in Pascal's Triangle.
9. How can you find the middle term(s) in a binomial expansion?
To find the middle term(s), first determine if n (the power) is even or odd. If n is even, there will be one middle term with r = n/2. If n is odd, there will be two middle terms with r = (n-1)/2 and r = (n+1)/2.
10. What is the relationship between the sum of coefficients in a binomial expansion and the value of (1 + 1)^n?
The sum of all coefficients in the expansion of (x + y)^n is equal to (1 + 1)^n = 2^n. This is because if you substitute x = y = 1 in the expansion, you get the sum of all coefficients.
11. How does the Binomial Theorem relate to combinatorics?
The Binomial Theorem is closely related to combinatorics as it involves counting the number of ways to choose r items from n items (represented by binomial coefficients). This connection is why binomial coefficients are also called "combination numbers".
12. Can the Binomial Theorem be applied when the exponent is negative or fractional?
The standard form of the Binomial Theorem applies only to positive integer exponents. However, there are generalized versions of the theorem that can handle negative and fractional exponents, known as the Negative Binomial Theorem and Fractional Binomial Theorem.
13. What is the term-wise pattern in a binomial expansion?
In the expansion of (x + y)^n, the powers of x decrease from n to 0, while the powers of y increase from 0 to n. The sum of the exponents of x and y in each term is always n.
14. How can you use the Binomial Theorem to find a specific term in an expansion?
To find a specific term, identify its position r in the expansion (counting from 0), then use the formula: C(n,r) * x^(n-r) * y^r. This gives you the coefficient and the variables with their respective powers for that term.
15. What is the relationship between consecutive terms in a binomial expansion?
The ratio of any two consecutive terms in a binomial expansion can be expressed as:
16. How does the Binomial Theorem help in approximating complex calculations?
The Binomial Theorem can be used to approximate calculations involving small changes. For example, (1 + x)^n can be approximated for small x using the first few terms of its binomial expansion, which is useful in many practical applications.
17. What is the connection between the Binomial Theorem and Taylor series?
The Binomial Theorem can be seen as a special case of the Taylor series expansion. In fact, the generalized Binomial Theorem for non-integer exponents is derived using Taylor series.
18. How can you use the Binomial Theorem to prove divisibility rules?
The Binomial Theorem can be used to prove certain divisibility rules. For example, it can be used to show that n^3 - n is always divisible by 3 for any integer n, by expanding (n - 1)^3.
19. What is the significance of the alternating signs in the expansion of (x - y)^n?
When expanding (x - y)^n, the signs of the terms alternate because of the negative y. This results in the expansion:
20. How does the Binomial Theorem relate to the concept of mathematical induction?
The Binomial Theorem can be proved using mathematical induction. This proof demonstrates how the theorem holds for n+1 if it holds for n, establishing its validity for all positive integers.
21. What is the "hockey stick identity" in Pascal's Triangle, and how does it relate to the Binomial Theorem?
The "hockey stick identity" refers to a pattern in Pascal's Triangle where the sum of numbers along a diagonal equals the number below the last term in the diagonal. This identity can be expressed using binomial coefficients and is a direct consequence of the Binomial Theorem.
22. How can the Binomial Theorem be used to find the coefficient of a specific term in (1 + x)^n?
To find the coefficient of x^k in the expansion of (1 + x)^n, you can use the binomial coefficient C(n,k). This is because in the expansion of (1 + x)^n, the term with x^k will be C(n,k) * x^k.
23. What is the relationship between the Binomial Theorem and the expansion of (1 - x)^(-n)?
The expansion of (1 - x)^(-n) is related to the Binomial Theorem through the negative binomial series. It can be written as:
24. How does the Binomial Theorem help in understanding the behavior of functions near x = 0?
The Binomial Theorem allows us to approximate functions near x = 0 by using the first few terms of their binomial expansion. This is particularly useful in calculus for understanding function behavior and in physics for small-angle approximations.
25. What is the connection between the Binomial Theorem and the concept of expected value in probability?
In probability theory, the expected value of a binomial distribution can be calculated using the Binomial Theorem. If X ~ B(n,p), then E(X) = np, which can be derived from the expansion of (p + q)^n where q = 1-p.
26. How can the Binomial Theorem be used to solve problems involving sums of powers?
The Binomial Theorem can be used to derive formulas for sums of powers, such as the sum of cubes. By expanding (x+1)^(n+1) and comparing coefficients, you can derive formulas for sums like 1^3 + 2^3 + ... + n^3.
27. What is the role of the Binomial Theorem in generating functions?
The Binomial Theorem is fundamental in the theory of generating functions. It allows us to express the generating function for binomial coefficients and is crucial in solving many combinatorial problems.
28. How does the Binomial Theorem relate to the concept of polynomial interpolation?
The Binomial Theorem is closely related to polynomial interpolation, particularly in the construction of Newton's interpolation formula. The binomial coefficients appear in the divided differences used in this interpolation method.
29. What is the significance of the Binomial Theorem in the study of finite differences?
In the study of finite differences, the Binomial Theorem plays a crucial role. It appears in the formula for the nth forward difference of a polynomial of degree n, connecting algebraic and numerical approaches to function analysis.
30. How can the Binomial Theorem be used to prove the identity Σ C(n,k) = 2^n?
This identity can be proved by expanding (1 + 1)^n using the Binomial Theorem:
31. What is the relationship between the Binomial Theorem and the expansion of e^x?
The expansion of e^x can be derived as a limit of the Binomial Theorem. As n approaches infinity, (1 + x/n)^n approaches e^x. This connection bridges discrete and continuous mathematics.
32. How does the Binomial Theorem help in understanding the behavior of random walks?
In the study of random walks, the Binomial Theorem is used to calculate probabilities of different paths. For a simple random walk, the probability of ending at position k after n steps is given by the binomial probability distribution.
33. What is the significance of the Binomial Theorem in coding theory?
In coding theory, the Binomial Theorem is used in the analysis of error-correcting codes, particularly in calculating the number of possible error patterns and in deriving bounds on code performance.
34. How can the Binomial Theorem be used to solve problems involving permutations with repetition?
The Binomial Theorem can be applied to solve problems involving permutations with repetition. For example, it can be used to count the number of ways to arrange n objects where some objects are identical.
35. What is the connection between the Binomial Theorem and Stirling numbers?
Stirling numbers of the second kind are related to the Binomial Theorem through the concept of set partitions. They appear in the expansion of x^n in terms of falling factorials, which is a generalization of the Binomial Theorem.
36. How does the Binomial Theorem relate to the concept of convolution in signal processing?
The Binomial Theorem is related to convolution in signal processing through the concept of polynomial multiplication. The coefficients of the product of two polynomials can be seen as a discrete convolution, which is fundamentally related to the Binomial Theorem.
37. What is the role of the Binomial Theorem in understanding the distribution of the sum of independent random variables?
The Binomial Theorem is crucial in deriving the distribution of the sum of independent random variables, particularly for binomial random variables. It forms the basis for understanding more complex distributions like the normal distribution.
38. How can the Binomial Theorem be used to approximate irrational numbers?
The Binomial Theorem can be used to derive series expansions for irrational numbers. For example, the expansion of (1 + x)^(1/2) leads to an approximation for √(1+x), which can be used to approximate square roots.
39. What is the significance of the Binomial Theorem in the study of orthogonal polynomials?
The Binomial Theorem is related to certain families of orthogonal polynomials, such as the Krawtchouk polynomials. These connections provide insights into the properties of discrete probability distributions.
40. How does the Binomial Theorem help in understanding the concept of statistical power in hypothesis testing?
In hypothesis testing, the Binomial Theorem is used to calculate the power of a test for binomial distributions. It helps in determining the probability of correctly rejecting a false null hypothesis.
41. What is the relationship between the Binomial Theorem and the concept of generating random numbers?
The Binomial Theorem is used in algorithms for generating random numbers from a binomial distribution. It helps in understanding the properties of these random number generators and in verifying their correctness.
42. How can the Binomial Theorem be used to solve problems involving the number of subsets of a set?
The Binomial Theorem directly relates to counting subsets. The total number of subsets of an n-element set is 2^n, which is the sum of all binomial coefficients C(n,k) for k from 0 to n.
43. What is the significance of the Binomial Theorem in the study of formal power series?
The Binomial Theorem extends to formal power series, allowing for the manipulation of infinite series. This generalization is important in abstract algebra and analytic number theory.
44. How does the Binomial Theorem relate to the concept of moment-generating functions in probability theory?
The moment-generating function of a binomial distribution is derived using the Binomial Theorem. This connection allows for easy calculation of moments and provides a link between discrete and continuous probability distributions.
45. What is the role of the Binomial Theorem in understanding the properties of binomial random variables?
The Binomial Theorem is fundamental in deriving the properties of binomial random variables, including their mean, variance, and higher moments. It provides a mathematical foundation for understanding these important probability distributions.
46. How can the Binomial Theorem be used to prove combinatorial identities?
Many combinatorial identities can be proved using the Binomial Theorem. By expanding both sides of an identity using the theorem and comparing coefficients, complex identities can often be verified or discovered.
47. What is the connection between the Binomial Theorem and the concept of statistical sufficiency?
In statistics, the Binomial Theorem is used in proving that the sample sum is a sufficient statistic for the binomial distribution. This connection highlights the theorem's importance in statistical theory.
48. How does the Binomial Theorem help in understanding the concept of entropy in information theory?
The Binomial Theorem is used in calculating the entropy of a binomial distribution, which is a fundamental concept in information theory. It helps in understanding the average information content of messages in communication systems.
49. What is the significance of the Binomial Theorem in the study of symmetric polynomials?
The Binomial Theorem is related to elementary symmetric polynomials, which are fundamental in the theory of symmetric polynomials. This connection provides insights into the structure of polynomial rings and algebraic equations.
50. How can the Binomial Theorem be used to derive the formula for the number of ways to choose r objects from n objects with replacement?
The number of ways to choose r objects from n objects with replacement is n^r. This can be derived by considering the expansion of (x_1 + x_2 + ... + x_n)^r using the Multinomial Theorem, which is a generalization of the Binomial Theorem.

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