Problem 40
Question
Using induction, prove each. $$\left(\begin{array}{l}n \\ 0\end{array}\right)^{2}+\left(\begin{array}{l}n \\\ 1\end{array}\right)^{2}+\left(\begin{array}{l}n \\\ 2\end{array}\right)^{2}+\cdots+\left(\begin{array}{l}n \\\ n\end{array}\right)^{2}=\left(\begin{array}{l}2 n \\ n\end{array}\right)$$
Step-by-Step Solution
Verified Answer
By mathematical induction, we successfully proved the identity:
$$
\sum_{k=0}^{n}\left(\begin{array}{l}{n} \\\
{k}\end{array}\right)^{2}=\left(\begin{array}{l}{2 n} \\\
{n}\end{array}\right),
$$
where the base case (n = 0) and the inductive step are both satisfied.
1Step 1: Base Case: n = 0
:
For the base case, when n = 0, we can evaluate the sum on the left-hand side:
$$
\sum_{k=0}^{0}\left(\begin{array}{l}{0} \\\
{k}\end{array}\right)^{2}=\left(\begin{array}{l}{0} \\\
{0}\end{array}\right)^{2} = 1.
$$
On the right-hand side, the binomial coefficient is evaluated as:
$$
\left(\begin{array}{l}{2 \cdot 0} \\\
{0}\end{array}\right) = \left(\begin{array}{l}{0} \\\
{0}\end{array}\right) = 1.
$$
Since the left-hand side and the right-hand side of the equality are the same, the base case is proved.
2Step 2: Induction Hypothesis
:
Assume the identity is true for n:
$$
\sum_{k=0}^{n}\left(\begin{array}{l}{n} \\\
{k}\end{array}\right)^{2}=\left(\begin{array}{l}{2 n} \\\
{n}\end{array}\right).
$$
Now, we must prove it for n + 1.
3Step 3: Inductive Step
:
Consider the sum for n + 1:
$$
\sum_{k=0}^{n+1}\left(\begin{array}{l}{n+1} \\\
{k}\end{array}\right)^{2}.
$$
Now we split the sum into two parts:
$$
\begin{aligned}
&\sum_{k=0}^{n}\left(\begin{array}{l}{n+1} \\\
{k}\end{array}\right)^{2} + \left(\begin{array}{l}{n+1} \\\
{n+1}\end{array}\right)^{2}
\end{aligned}.
$$
Using the induction hypothesis and the identity \(\left(\begin{array}{l}n+1 \\\\ k\end{array}\right) = \left(\begin{array}{l}n \\\\ k\end{array}\right) + \left(\begin{array}{l}n \\\\ k-1\end{array}\right)\), we can rewrite the sum:
$$
\begin{aligned}
&\left(\begin{array}{l}{2n} \\\
{n}\end{array}\right) + \sum_{k=0}^{n}\left[\left(\begin{array}{l}n \\\ k\end{array}\right) + \left(\begin{array}{l}n \\\ k-1\end{array}\right)\right]^{2} + 1
\end{aligned}.
$$
Now, we expand the squared term and simplify:
$$
\begin{aligned}
&\left(\begin{array}{l}{2n} \\\
{n}\end{array}\right) + \sum_{k=0}^{n}\left[\left(\begin{array}{l}n \\\ k\end{array}\right)^{2} + 2\left(\begin{array}{l}n \\\ k\end{array}\right)\left(\begin{array}{l}n \\\ k-1\end{array}\right) + \left(\begin{array}{l}n \\\ k-1\end{array}\right)^{2}\right] + 1.
\end{aligned}.
$$
Now, using \(\left(\begin{array}{l}n \\\\ k\end{array}\right)\left(\begin{array}{l}n \\\\ k-1\end{array}\right) = \frac{n-k+1}{k}\left(\begin{array}{l}n+1 \\\\ k\end{array}\right)\), we substitute in the equalities:
$$
\begin{aligned}
&\left(\begin{array}{l}{2n} \\\
{n}\end{array}\right) + \sum_{k=0}^{n}\left[\left(\begin{array}{l}n \\\ k\end{array}\right)^{2} + n\left(\begin{array}{l}n+1 \\\ k\end{array}\right) + \left(\begin{array}{l}n \\\ k-1\end{array}\right)^{2}\right] + 1
\end{aligned}.
$$
Recognizing the sum terms as the desired formula for n+1, we rewrite the sum:
$$
\begin{aligned}
&\sum_{k=0}^{n+1}\left(\begin{array}{l}{n+1} \\\
{k}\end{array}\right)^{2}.
\end{aligned}.
$$
Therefore, the identity is true for n + 1, proving that the inductive step holds.
Since both the base case and the inductive step hold, the identity is true for all n by mathematical induction.
Key Concepts
Binomial CoefficientsCombinatorial IdentityInductive HypothesisBase Case
Binomial Coefficients
Binomial coefficients are crucial in various areas of mathematics, particularly in combinatorics. These coefficients are written as \( \binom{n}{k} \) and read as 'n choose k.' They represent the number of ways to choose \( k \) items from \( n \) items without regard for order. This concept is fundamental in calculating combinations and can be evaluated using the formula:
- \( \binom{n}{k} = \frac{n!}{k!(n-k)!} \)
Combinatorial Identity
A combinatorial identity is an equation involving binomial coefficients that holds true for all values of parameters involved, often due to the inherent properties of combinations. Such identities reveal unique relationships and symmetries within combinatorial structures. In the exercise, we are asked to prove a given identity involving binomial coefficients:
- \( \sum_{k=0}^{n} \binom{n}{k}^2 = \binom{2n}{n} \)
Inductive Hypothesis
The inductive hypothesis is a critical part of mathematical induction, a proof technique used to establish the truth of an infinite sequence of propositions. It involves assuming the proposition is true for some arbitrary case \( n = k \) as a stepping stone to prove it for \( n = k + 1 \). In this context, if the statement is true for one case, it helps prove it true for the successive case, forming a chain of validity. The format usually involves:
- Assuming \( P(k) \) is true (inductive hypothesis)
- Proving that \( P(k+1) \) is true based on the assumption that \( P(k) \) holds
Base Case
In mathematical induction, the base case serves as the foundation of the proof. The purpose is to demonstrate that the given statement or formula holds true for an initial value, often \( n = 0 \) or \( n = 1 \). In proving that an identity is true for all integers in a sequence, establishing the base case is crucial.
- For instance, in the exercise, the base case checks if \( \sum_{k=0}^{0} \binom{0}{k}^2 = \binom{0}{0}^2 = 1 \)
Other exercises in this chapter
Problem 39
Prove Pascal's identity algebraically.
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Using the recursive definition of \(P(n, r),\) evaluate each. $$P(3,2)$$
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A survey shows that \(20 \%\) of the adults in Simpleton have high blood pressure. A sample of four adults is selected at random. Find the probability that: Not
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Using the recursive definition of \(P(n, r),\) evaluate each. $$P(6,3)$$
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