Integration of Binomial Expansion

Integration of Binomial Expansion

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 manually. In these cases, Binomial theorem can be used to calculate it. 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. Binomial coefficients are the coefficients of the terms in the Binomial expansion. Apart from Mathematics, Binomial theorem is also used in statistical and financial data analysis.

Integration of Binomial Expansion
Integration of Binomial Expansion

This article is about the integration in Binomial coefficients 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 $.

Integration of Binomial Expansion

Limits for Integration:

If the numbers occur as the denominator of the binomial coefficient, then this method is applicable.

S. No.

Conditions

Limits of integration

1

If the binomial series contains all positive sign terms

$0$ to $1$

2

If the binomial series contains alternate sign $(+ and -)$

$-1$ to $0$

3

If the binomial series contains odd coefficients $(C0, C2, C4,.....)$

$-1$ to $1$

4

If the binomial series contains even coefficients $(C1, C3, C5,.....)$

subtract (2) from (1) then divide by 2


For Example,

$ C_0+2^2 \cdot \frac{C_1}{2}+2^3 \cdot \frac{C_2}{3}+\ldots+2^{n+1} \cdot \frac{C_n}{n+1}=\frac{3^{n+1}-1}{n+1}$

Proof:

$ (1+x)^n=C_0+C_1 x+C_2 x^2+\ldots+C_n x^n$

As each term has $+\operatorname{sign}$ and each term also has powers of 2 , so we will integrate it from $0$ to $2$

$\int_0^2(1+x)^n d x=\int_0^2\left[C_0+C_1 x+\ldots+C_n x^n\right] d x $

${\left[\frac{(1+x)^{n+1}}{n+1}\right]_0^2=\left[C_0 x+C_1 \cdot \frac{x^2}{2}+C_2 \cdot \frac{x^3}{3}+\ldots C_n \cdot \frac{x^{n+1}}{n+1}\right]_0^2} $

$\Rightarrow \quad \frac{3^{n+1}-1}{n+1}=C_0 \cdot 2+2^2 \cdot \frac{C_1}{2}+2^3 \cdot \frac{C_2}{3}+\ldots+2^{n+1} \cdot \frac{C_n}{n+1} $

Recommended Video Based on Íntegration of Binomial Expansion:

Solved Examples Based on Integration in Binomial Expansion

Example 1: If $\mathrm{C}_0, \mathrm{C}_1, \mathrm{C}_2, \ldots, \mathrm{C}_n$ be binomial coefficients in the expansion of $(1+x)^n$

Find the value of $C_0-\frac{C_1}{2}+\frac{C_2}{3}-\ldots+(-1)^n \frac{C_n}{n+1}$.

1) $\frac{n}{n-1}$

2) $\frac{n}{n+1}$

3) $\frac{1}{n-1}$

4) $\frac{1}{n+1}$

Solution:

$ (1+x)^n=C_0+C_1 x+C_2 x^2+\ldots+C_n x^n $

Integrating within limits $-1$ to $0$ , then we get,

$\int_{-1}^0(1+x)^n d x=\int_{-1}^0\left(C_0+C_1 x+C_2 x^2+\ldots+C_n x^n\right) d x $

$\Rightarrow\left[\frac{(1+x)^{n+1}}{n+1}\right]_{-1}^0=\left[C_0 x+\frac{C_1 x^2}{2}+\frac{C_2 x^3}{3}+\ldots+\frac{C_n x^{n+1}}{n+1}\right]_{-1}^0 $

$\Rightarrow \frac{1-0}{n+1}=0-\left(-C_0+\frac{C_1}{2}-\frac{C_2}{3}+\ldots+(-1)^{n+1} \frac{C_n}{n+1}\right) $

$\Rightarrow \frac{1}{n+1}=C_0-\frac{C_1}{2}+\frac{C_2}{3}-\ldots+(-1)^{n+2} \frac{C_n}{n+1} $

$\Rightarrow \frac{1}{n+1}=C_0-\frac{C_1}{2}+\frac{C_2}{3}-\ldots+(-1)^n \frac{C_n}{n+1} $

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

Hence, $C_0-\frac{C_1}{2}+\frac{C_2}{3}-\ldots+(-1)^n \frac{C_n}{n+1}=\frac{1}{n+1}$

Hence, the answer is option (4).

Example 2: The value of $C_0+\frac{C_1}{2}+\frac{C_2}{3}+\ldots+\frac{C_n}{n+1}$ is.

1) $\frac{2^n-1}{n+1}$

2) $\frac{2^{n+1}}{n+1}$

3) $\frac{2^{n+1}-1}{n+1}$

4) None of these

Solution:

This binomial series contains all positive sign terms

$(1+x)^n=C_0+C_1 x+C_2 x^2+\ldots \ldots+C_n x^n$

Integrating between limits $0$ and $1$ , we get :

$ \int_0^1(1+x)^n d x=\int_0^1\left(C_0 d x+\int_0^1 C_1 x d x+\int_0^1 C_2 x^2 d x+\ldots+\int_0^1 C_n x^n\right) d x $

$ {\left[\frac{(1+x)^{n+1}}{n+1}\right]_0^1=\left.\frac{C_0 x}{1}\right|_0 ^1+\left.C_1 \frac{x^2}{2}\right|_0 ^1+\left.C_2 \cdot \frac{x^3}{3}\right|_0 ^1+\ldots+\left.C_n \cdot \frac{x^{n+1}}{n+1}\right|_0 ^1}$

$\Rightarrow \quad \frac{2^{n+1}}{n+1}-\frac{1}{n+1}=C_0+\frac{C_1}{2}+\frac{C_2}{3}+\ldots+\frac{C_n}{n+1}$

$ \Rightarrow \quad C_0+\frac{C_1}{2}+\frac{C_2}{3}+\ldots+\frac{C_n}{n+1}=\frac{2^{n+1}-1}{n+1}$

Hence, the answer is option (3).

Example 3: The sum to $(\mathrm{n}+1)$ terms of the series $\frac{C_0}{2}+\frac{C_1}{3}+\frac{C_2}{4}+\frac{C_3}{5}+\ldots$ is:

1) $\frac{1}{n+1}$

2) $\frac{1}{n+2}$

3) $\frac{1}{n(n+1)}$

4) none of these

Solution:

As we have learned

Result of Binomial Theorem -

$ c_0+\frac{c_1}{2}+\frac{c_2}{3}+-----\frac{c_n}{n+1}=\frac{2^{n+1}-1}{n+1} $

Take $\int_0^1(1+x)^n d x=\int_o^1 \sum_{r=0}^n{ }^n c_r x^r d x$

We have

$(1-x)^n=c_0-c_1 x+c_2 x^2-c_3 x^3+\ldots $

$ x(1-x)^n=c_0 x-c_1 x^2+c_2 x^3-c_3 x^4+\ldots$

$ \int_0^1 x(1-x)^n d x=\int_0^1 x(1-x)^n d x=\int_0^1(1-t) t^n(-1) d t \quad[\text { put } 1-x=t] $

$ =[\text { Put } 1-x=t]$

=

$=\int_0^1\left(t^n-t^{n+1}\right) d t=\left|\frac{t^{n+1}}{n+1}-\frac{t^{n+2}}{n+2}\right|_0^1 $

$ =\frac{1}{n+1}-\frac{1}{n+2}=\frac{1}{(n+1)(n+2)} $

$\text { Integrating R.H.S of (1) we get }\left.\left(\frac{C_0 x^2}{2}-\frac{C_1 x^3}{3}+\frac{C_2 x^4}{4}-\right)\right|_0 ^1 $

$=\frac{C_0}{2}-\frac{C_1}{3}+\frac{C_2}{4}-\ldots .=\frac{1}{(n+1)(n+2)} $

$ \text { Thus, } \frac{C_0}{2}-\frac{C_1}{3}+\frac{C_2}{4}-\ldots . \quad=$

Hence, the answer is option (4).

xample 4: If $\mathrm{C}_0, \mathrm{C}_1, \mathrm{C}_2, \ldots, \mathrm{C}_n$ be binomial coefficients in the expansion of $(1+x)^n$ Find the value of $3 C_0+3^2 \frac{C_1}{2}+\frac{3^3 C_2}{3}+\frac{3^4 C_3}{4}+\ldots+\frac{3^{n+1} C_n}{n+1}$.

1) $\frac{4^n-1}{n+1}$

2) $\frac{4^{n+1}+1}{n+1}$

3) $\frac{4^{n+1}-1}{n+1}$

4) $\frac{4^n-1}{n+1}$

Solution:

$(1+x)^n=C_0+C_1 x+C_2 x^2+C_3 x^3+\ldots+C_n x^n $

Integrating within limits $0$ to$ 3$ , then we get,

$\int_0^3(1+x)^n d x=\int_0^3\left(C_0+C_1 x+C_2 x^2+C_3 x^3+\ldots+C_n x^n\right) d x$

$\Rightarrow\left[\frac{(1+x)^{n+1}}{n+1}\right]_0^3=\left[C_0 x+\frac{C_1 x^2}{2}+\frac{C_2 x^3}{3}+\frac{C_3 x^4}{4}+\ldots .+\frac{C_n x^{n+1}}{n+1}\right] $

$\Rightarrow \frac{4^{n+1}-1}{n+1}=3 C_0+\frac{3^2 C_1}{2}+\frac{3^3 C_2}{3}+\frac{3^4 C_3}{4}+\ldots+\frac{3^{n+1} C_n}{n+1} $

Hence,

$3 C_0+\frac{3^2 C_1}{2}+\frac{3^3 C_2}{3}+\frac{3^4 C_3}{4}+\ldots+\frac{3^{n+1} C_n}{n+1}=\frac{4^{n+1}-1}{n+1} $

Hence, the answer is option (3).

Example 5: $\frac{C_0}{1}+\frac{C_1}{2}+\frac{C_2}{3}+\ldots+\frac{C_n}{n+1}=$

1) $\frac{2^n}{n+1}$

2) $\frac{2^n-1}{n+1}$

3) $\frac{2^{n+1}-1}{n+1}$

4) None of these

Solution:

Consider the expansion $(1+x)^n=C_0+C_1 x+C_2 x^2+\ldots .+C_n x^n$

Integrating both sides of (i) within limits $0$ to $1$ we get.

$ \int_0^1(1+x)^n d x=\int_0^1 C_0+\int_0^1 C_1 x+\int_0^1 C_2 x^2+\ldots \ldots+\int_0^1 C_n x^n d x$

$ {\left[\frac{(1+2)^{n+1}}{n+1}\right]_0^1=C_0[x]_0^1+C_1\left[\frac{x^2}{2}\right]_0^1+\ldots \ldots+C_n\left[\frac{x^{n+1}}{n+1}\right]_0^1} $

$ \frac{2^{n+1}}{n+1}-\frac{1}{n+1}-C_0[1]+C_1 \frac{1}{2}+C_2 \frac{1}{3}+\ldots \ldots+C_n \cdot \frac{1}{n+1} ; C_0+\frac{C_1}{2}+\frac{C_2}{3}+\ldots+\frac{C_n}{n+1}-\frac{2^{n+1}-1}{n+1} $

Hence, the answer is option (3).


Frequently Asked Questions (FAQs)

1. What is the connection between binomial expansion and integration?
Binomial expansion and integration are connected through the process of integrating terms of a binomial expression raised to a power. When we integrate a binomial expression (a + bx)^n, we can use the binomial expansion to break it down into individual terms, which can then be integrated separately. This connection allows us to solve complex integration problems by leveraging our knowledge of binomial expansions.
2. Why is integrating a binomial expansion useful in calculus?
Integrating a binomial expansion is useful in calculus because it allows us to find antiderivatives of complex expressions that would otherwise be difficult to integrate directly. By expanding the binomial and integrating term by term, we can solve a wide range of integration problems, including those involving rational functions, trigonometric functions, and other complex expressions. This technique is particularly helpful in areas such as physics and engineering, where such integrals often arise.
3. How does the process of integrating a binomial expansion differ from regular integration?
The process of integrating a binomial expansion involves two main steps: first, expanding the binomial expression using the binomial theorem, and second, integrating each term of the expansion separately. This differs from regular integration in that we're breaking down a complex expression into simpler parts before integrating, rather than trying to find an antiderivative for the entire expression at once. This approach can often simplify the integration process, especially for expressions that don't have obvious antiderivatives.
4. What is the general form of an integral involving a binomial expansion?
The general form of an integral involving a binomial expansion is:
5. How does the value of the exponent 'n' affect the integration process of a binomial expansion?
The value of the exponent 'n' significantly affects the integration process:
6. What is the significance of the binomial theorem in integrating binomial expansions?
The binomial theorem is crucial in integrating binomial expansions because it allows us to expand (a + bx)^n into a series of terms. This expansion transforms a complex integral into a sum of simpler integrals, each of which can be solved using basic integration techniques. Without the binomial theorem, we would often be stuck with integrals that are difficult or impossible to solve directly.
7. How do you handle the integration of a binomial expansion when the exponent is negative?
When the exponent is negative, say -n where n is positive, we approach the integration as follows:
8. What role does the chain rule play in integrating binomial expansions?
The chain rule plays a crucial role when integrating binomial expansions, especially when the binomial expression is part of a more complex function. For example, in integrating sin(a + bx)^n, we would first use the chain rule to handle the outer sine function, then apply binomial expansion to (a + bx)^n. The chain rule ensures we correctly account for the derivative of the inner function when integrating composite functions involving binomial expressions.
9. How does integrating a binomial expansion relate to power series?
Integrating a binomial expansion is closely related to power series because the binomial expansion itself is a type of power series. When we integrate (a + bx)^n, we're essentially integrating a power series in x. This connection becomes particularly important when dealing with fractional or negative exponents, where the binomial expansion results in an infinite series. Understanding this relationship helps in tackling more advanced topics in calculus, such as Taylor series and power series representations of functions.
10. What is the difference between integrating (a + bx)^n and (ax + b)^n?
The main difference lies in the resulting algebraic form after integration:
11. How does the integration of binomial expansions relate to the concept of u-substitution?
Integration of binomial expansions often involves u-substitution, especially when dealing with more complex forms. For instance, when integrating (ax + b)^n, we typically substitute u = ax + b. This transforms the integral into a simpler form ∫u^n du, which we can then solve using standard integration techniques. U-substitution is a powerful tool that simplifies the integration process by changing the variable of integration, making it easier to apply the binomial theorem and subsequent integration.
12. What are some common mistakes students make when integrating binomial expansions?
Common mistakes include:
13. How does the integration of binomial expansions extend to trinomial or polynomial expansions?
The integration of binomial expansions can be extended to trinomial or polynomial expansions, but the process becomes more complex:
14. What is the relationship between integrating binomial expansions and solving differential equations?
Integrating binomial expansions is closely related to solving certain types of differential equations:
15. How does the concept of definite integrals apply to binomial expansions?
Definite integrals of binomial expansions involve evaluating the integral over a specific interval:
16. What role does the binomial coefficient play in integrating binomial expansions?
The binomial coefficient plays a crucial role in integrating binomial expansions:
17. How does integrating binomial expansions relate to the concept of Taylor series?
Integrating binomial expansions is closely related to Taylor series:
18. What is the significance of the constant term in binomial expansion integration?
The constant term in binomial expansion integration is significant because:
19. How does the integration of binomial expansions change when dealing with complex numbers?
When dealing with complex numbers, the integration of binomial expansions becomes more intricate:
20. What is the connection between integrating binomial expansions and the concept of generating functions?
Integrating binomial expansions is connected to generating functions in several ways:
21. How does the method of integration by parts apply to binomial expansions?
Integration by parts can be useful when dealing with binomial expansions, especially in cases where the binomial is multiplied by another function:
22. What is the significance of the substitution method in integrating binomial expansions?
The substitution method is crucial in integrating many binomial expansions:
23. How does the concept of improper integrals apply to binomial expansions?
Improper integrals of binomial expansions arise when:
24. What role does the fundamental theorem of calculus play in integrating binomial expansions?
The fundamental theorem of calculus is crucial in integrating binomial expansions:
25. How does the integration of binomial expansions relate to probability distributions?
The integration of binomial expansions is closely related to probability distributions:
26. What is the significance of the beta function in integrating binomial expansions?
The beta function is significant in integrating binomial expansions because:
27. How does the concept of partial fractions decomposition apply to integrating binomial expansions?
Partial fractions decomposition can be useful when integrating certain forms of binomial expansions:
28. What is the relationship between integrating binomial expansions and solving recurrence relations?
Integrating binomial expansions and solving recurrence relations are related in several ways:
29. How does the concept of convergence apply to integrals involving infinite binomial expansions?
Convergence is crucial when dealing with integrals involving infinite binomial expansions:
30. What is the significance of the residue theorem in integrating complex binomial expansions?
The residue theorem becomes significant when integrating complex binomial expansions:

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