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    JEE Main Exam Pattern 2026 (Released) - New Paper Pattern, Total Marks, No. of Questions

    Product of two Binomial Coefficients - Practice Questions & MCQ

    Edited By admin | Updated on Sep 18, 2023 18:34 AM | #JEE Main

    Quick Facts

    • 44 Questions around this concept.

    Solve by difficulty

    The value of r for which $^{20}C_r^{20}C_0+^{20}C_{r-1}\:^{20}C_1+^{20}C_{r-2}\:^{20}C_2+\ldots\ldots\ldots+^{20}C_0\:^{20}C_r$ is the maximum, is:

    The sum of the series $\binom{10}{0}\binom{10}{4}+\binom{10}{1}\binom{10}{5}+\binom{10}{2}\binom{10}{6}+\ldots+\binom{10}{6}\binom{10}{10}$ is

    \sum_{k=0}^{20}\left({ }^{20} \mathrm{C}_{\mathrm{k}}\right)^{2} is equal to :

    If (1+x)^{n}=C_{0}+C_{1} x \ldots\ldots +C_{n} x^{n} then, C_{0} \cdot^{2 n} C_{n}-C_{1} \cdot^{2 n-2} C_{n}+C_{2} \cdot^{2 n-4} C_{n}-\ldots

    is equal to?

    The term independent of x in the expansion of  (1+x)^n(1+1 / x)^nis

     

    The term independent of x in the expansion of (1+x)^n\left(1+\frac{1}{x}\right)^nis

    \text { If }(1+x)^n=C_0+C_1 x+C_2 x^2+\ldots \ldots \ldots+C_n x^2 \text {, then } C_0^2+C_1^2+C_2^2+C_3^2+\ldots \ldots+C_n^2=

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    $^{13}c_2^2+ ^{13}c_1^2+ ^{13}c_2^2 + ...+ ^{13}c_{13}^2 =$

    $^{8}c_{0} \times ^{9}c_{8} + ^{8}c_{1} \times ^{9}c_{7} + ^{8}c_{2} \times ^{9}c_{6} + ^{8}c_{3} \times ^{9}c_{5} +^{8}c_{4} \times ^{9}c_{4} + ^{8}c_{5} \times ^{9}c_{3} + ^{8}c_{6} \times ^{9}c_{2} + ^{8}c_{7} \times ^{9}c_{1} + ^{8}c_{8} \times ^{9}c_{0}$

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    If $\left(1-x^3\right)=\sum_{r=0}^{\infty} a_r x^r(1-x)^{3 m-2 r}$ then find $a_r$, when $n \in N$

    Concepts Covered - 2

    Product of two Binomial Coefficients (Part 1)

    Series Involving Product of two Binomial Coefficients

    Example

    $
    \begin{aligned}
    & C_0^2+C_1^2+C_2^2+\ldots C_n^2={ }^{2 n} C_n \quad \text { or } \quad \sum_{r=0}^n C_r^2={ }^{2 n} C_n \\
    & \sum_{r=0}^n C_r^2=C_0^2+C_1^2+C_2^2+C_3^2+\ldots C_n^2 \\
    & \quad=C_0 \cdot C_0+C_1 \cdot C_1+C_2 \cdot C_2+C_3 \cdot C_3+\ldots+C_n \cdot C_n \\
    & =C_0 \cdot C_n+C_1 \cdot C_{n-1}+C_2 \cdot C_{n-2}+C_3 \cdot C_{n-3}+\ldots+C_n \cdot C_0 \\
    & \left(U \operatorname{sing}{ }^n C_r={ }^n C_{n-r}\right)
    \end{aligned}
    $
    Here, the sum of lower suffixes in each term is constant
    Consider the identities

    $
    \begin{aligned}
    & (1+x)^n=C_0+C_1 x+C_2 x^2+C_3 x^3+\ldots+C_n x^n \\
    & (1+x)^n=C_0+C_1 x+C_2 x^2+C_3 x^3 \ldots+C_n \cdot x^n
    \end{aligned}
    $
    Multiply these identities we get another identity.

    $
    \begin{aligned}
    & (1+x)^n(1+x)^n=\left(C_0+C_1 x+C_2 x^2+\ldots \ldots \ldots+C_n x^n\right) \times\left(C_0+C_1 x+C_2 x^2+\ldots \ldots \ldots+C_n x^n\right) \\
    & (1+x)^{2 n}=\left(C_0+C_1 x+C_2 x^2+\ldots \ldots \ldots+C_n x^n\right) \times\left(C_0+C_1 x+C_2 x^2+\ldots \ldots \ldots+C_n x^n\right)
    \end{aligned}
    $
    Compare coefficients of $x^n$ on both sides.
    In LHS, coeff. of $x^n=$ coeff. of $x^n$ in $(1+x)^{2 n}={ }^{2 n} C_n$
    In RHS. terms containing $x^n$ are

    $
    C_0 C_n x^n+C_1 C_{n-1} x^n+C_2 C_{n-2} x^n+\ldots \ldots \ldots+C_n C_0 x^n
    $

    $\Rightarrow \quad$ Coeff. of $x^n$ on RHS $=C_0 C_n+C_1 C_{n-1}+C_2 C_{n-2}+\ldots \ldots \ldots+C_n C_0$

    Equating the coefficients,

    $
    C_0 C_n+C_1 C_{n-1}+C_2 C_{n-2}+\ldots \ldots \ldots+C_n C_0=C_0^2+C_1^2+C_2^2+\ldots \ldots \ldots C_n^2={ }^{2 n} C_n
    $
    Shortcut formula
    To get the value of $C_0 C_{n-r}+C_1 C_{n-r+1}+C_2 C_{n-r+2}+\ldots \ldots \ldots .+C_{n-r} C_0$
    Observe that upper indices are constant in each term and the sum of lower indices $=$ constant $=(\mathrm{n}-\mathrm{r})$
    So this expression equals Sum of upper indices $C_{\text {sum of lower indices }}$

    So the given expression equals ${ }^{n+n} C_{n-r}={ }^{2 n} C_{n-r}$

    Product of two Binomial Coefficients (Part 2)

    If the difference of lower suffixes of binomial coefficients in each term is the same

    Example

    Prove that $C_0 C_1+C_1 C_2+C_2 C_3+\ldots \ldots \ldots+C_{n-1} C_n={ }^{2 n} C_{n-1}$
    Here the difference between lower indices is constant in each term
    We can convert it to a form where the sum of the lower indices in each term is the same, then apply the shortcut formula that we learnt in the previous concept

    $
    C_0 C_1+C_1 C_2+C_2 C_3+\ldots \ldots \ldots+C_{n-1} C_n
    $
    Using the relation ${ }^n C_r={ }^n C_{n-r}$ in second coefficients of each term

    $
    =C_0 C_{n-1}+C_1 C_{n-2}+C_2 C_{n-3}+\ldots \ldots \ldots+C_{n-1} C_0
    $
    Now observe that the sum of lower indices is constant, so we can apply the shortcut formula that we learnt in the previous concept

    $
    \begin{aligned}
    & ={ }^{n+n} C_{n-1} \\
    & ={ }^{2 n} C_{n-1}
    \end{aligned}
    $

    Study it with Videos

    Product of two Binomial Coefficients (Part 1)
    Product of two Binomial Coefficients (Part 2)

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