Problem 47
Question
If \(n\) is a positive integer, show that \(\left(\begin{array}{l}n \\\ 0\end{array}\right)+\left(\begin{array}{l}n \\\ 1\end{array}\right)+\cdots+\left(\begin{array}{l}n \\\ n\end{array}\right)=2^{n}\) [Hint: \(2^{n}=(1+1)^{n} ;\) now use the Binomial Theorem.]
Step-by-Step Solution
Verified Answer
\[\left(\begin{array}{c} n \ 0\end{array}\right) + \left(\begin{array}{c} n \ 1\end{array}\right) + \cdots + \left(\begin{array}{c} n \ n\end{array}\right) = 2^n\]
1Step 1: Understand the problem statement
The goal is to show that the sum of binomial coefficients for a given positive integer \(n\) equals \(2^n\). This can be written as: \[\left(\begin{array}{c}n \ 0\end{array}\right) + \left(\begin{array}{c}n \ 1\end{array}\right) + \cdots + \left(\begin{array}{c}n \ n\end{array}\right) = 2^n\]
2Step 2: Recall the Binomial Theorem
The Binomial Theorem states that: \[(x + y)^n = \sum_{k=0}^{n} \left(\begin{array}{c} n \ k\end{array}\right) x^{n-k} y^{k}\]
3Step 3: Apply the Binomial Theorem with \(x = 1\) and \(y = 1\)
Substitute \(x = 1\) and \(y = 1\) into the Binomial Theorem: \[(1 + 1)^n = \sum_{k=0}^{n} \left(\begin{array}{c} n \ k\end{array}\right) 1^{n-k} 1^{k}\] Since any number raised to any power is 1, this simplifies to: \[(1 + 1)^n = \sum_{k=0}^{n} \left(\begin{array}{c} n \ k\end{array}\right)\]
4Step 4: Simplify the equation
Simplify \((1 + 1)^n\) to get: \[2^n = \sum_{k=0}^{n} \left(\begin{array}{c} n \ k\end{array}\right)\]
5Step 5: Conclusion
Since we have shown that the sum of the binomial coefficients for a given \(n\) equals \(2^n\), we have proven the original statement.
Key Concepts
binomial coefficientspositive integersummation
binomial coefficients
Let's explore the concept of *binomial coefficients*. These coefficients appear in binomial expansions and are denoted as \(\binom{n}{k}\). A binomial coefficient represents the number of ways to choose \(k\) items from \(n\) items without regard to the order.
In mathematical terms, it is expressed as: \[ \binom{n}{k} = \frac{n!}{k!(n-k)!} \] where \(n!\) and \(k!\) denote the factorial of \(n\) and \(k\) respectively. These coefficients are integral in various combinatorial problems and are essential in understanding the Binomial Theorem.
You would typically find binomial coefficients in the expansion of \((x + y)^n\), where the coefficients are aligned with the terms in the polynomial. This understanding helps us see the relationship between binomial coefficients and combinations.
In mathematical terms, it is expressed as: \[ \binom{n}{k} = \frac{n!}{k!(n-k)!} \] where \(n!\) and \(k!\) denote the factorial of \(n\) and \(k\) respectively. These coefficients are integral in various combinatorial problems and are essential in understanding the Binomial Theorem.
You would typically find binomial coefficients in the expansion of \((x + y)^n\), where the coefficients are aligned with the terms in the polynomial. This understanding helps us see the relationship between binomial coefficients and combinations.
positive integer
A *positive integer* is simply any whole number greater than zero, such as 1, 2, 3, and so on. Positive integers are used to count discrete objects and appear throughout mathematics.
In our context, the variable \(n\) represents a positive integer. It defines the power to which a binomial is raised. When we talk about the theorem \((1+1)^n\), \(n\) determines the number of terms we will sum in our series.
Recognizing \(n\) as a positive integer ensures that we deal with a finite set of terms, making the summation and combinatorial proofs straightforward.
In our context, the variable \(n\) represents a positive integer. It defines the power to which a binomial is raised. When we talk about the theorem \((1+1)^n\), \(n\) determines the number of terms we will sum in our series.
Recognizing \(n\) as a positive integer ensures that we deal with a finite set of terms, making the summation and combinatorial proofs straightforward.
summation
The principle of *summation* is fundamental in mathematics. It involves adding a sequence of numbers to find their total. In the context of our exercise, we are summing binomial coefficients: \[ \binom{n}{0} + \binom{n}{1} + \binom{n}{2} + \text{...} + \binom{n}{n} \]
According to the Binomial Theorem, this summation is equivalent to \(2^n\). We used the theorem by setting \(x = 1\) and \(y = 1\), leading to: \[ (1 + 1)^n = \binom{n}{0} + \binom{n}{1} + \binom{n}{2} + \text{...} + \binom{n}{n} \]
Simplifying the left-hand side, we get \[ (1+1)^n = 2^n \]
Thus, the sum of the binomial coefficients for a given positive integer \(n\) equals \(2^n\). Summation is a powerful tool to aggregate terms and find meaningful results in mathematics.
According to the Binomial Theorem, this summation is equivalent to \(2^n\). We used the theorem by setting \(x = 1\) and \(y = 1\), leading to: \[ (1 + 1)^n = \binom{n}{0} + \binom{n}{1} + \binom{n}{2} + \text{...} + \binom{n}{n} \]
Simplifying the left-hand side, we get \[ (1+1)^n = 2^n \]
Thus, the sum of the binomial coefficients for a given positive integer \(n\) equals \(2^n\). Summation is a powerful tool to aggregate terms and find meaningful results in mathematics.
Other exercises in this chapter
Problem 45
Show that \(\left(\begin{array}{c}n \\ n-1\end{array}\right)=n\) and \(\left(\begin{array}{l}n \\ n\end{array}\right)=1\).
View solution Problem 46
An approximation for \(n !,\) when \(n\) is large, is given by $$ n ! \approx \sqrt{2 n \pi}\left(\frac{n}{e}\right)^{n}\left(1+\frac{1}{12 n-1}\right) $$ Calcu
View solution Problem 47
A sequence is defined recursively. List the first five terms. \(a_{1}=\sqrt{2} ; \quad a_{n}=\sqrt{2+a_{n-1}}\)
View solution Problem 48
If \(n\) is a positive integer, show that \(\left(\begin{array}{l}n \\\ 0\end{array}\right)-\left(\begin{array}{l}n \\\ 1\end{array}\right)+\left(\begin{array}{
View solution