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The value of sum(r=1)^ n ("^n Pr)/(r !) ...

The value of `sum_(r=1)^ n ("^n P_r)/(r !)` is

A

`2^n`

B

`2^n -1`

C

`2^(n-1)`

D

`2^n +1`

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem, we need to find the value of the summation: \[ \sum_{r=1}^{n} \frac{nP_r}{r!} \] ### Step 1: Understanding the term \(\frac{nP_r}{r!}\) The term \(nP_r\) represents the number of permutations of \(r\) distinct objects chosen from \(n\) distinct objects. It can be expressed as: \[ nP_r = \frac{n!}{(n-r)!} \] Thus, we can rewrite \(\frac{nP_r}{r!}\) as: \[ \frac{nP_r}{r!} = \frac{n!}{(n-r)! \cdot r!} \] ### Step 2: Recognizing the binomial coefficient The expression \(\frac{n!}{(n-r)! \cdot r!}\) is the definition of the binomial coefficient \(nC_r\). Therefore, we can rewrite our summation as: \[ \sum_{r=1}^{n} \frac{nP_r}{r!} = \sum_{r=1}^{n} nC_r \] ### Step 3: Summation of binomial coefficients We know from the binomial theorem that: \[ \sum_{r=0}^{n} nC_r = 2^n \] This summation includes \(nC_0\) (which is 1). However, our summation starts from \(r=1\). To adjust for this, we can express our summation as: \[ \sum_{r=1}^{n} nC_r = \sum_{r=0}^{n} nC_r - nC_0 \] ### Step 4: Substituting the known values From the binomial theorem, we have: \[ \sum_{r=0}^{n} nC_r = 2^n \] And since \(nC_0 = 1\), we can substitute these values into our equation: \[ \sum_{r=1}^{n} nC_r = 2^n - 1 \] ### Conclusion Thus, the value of the original summation is: \[ \sum_{r=1}^{n} \frac{nP_r}{r!} = 2^n - 1 \] ### Final Answer The final answer is: \[ 2^n - 1 \] ---
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ML KHANNA-PERMUTATIONS AND COMBINATIONS -SELF ASSESSMENT TEST
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