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Question

Question: How do you evaluate \({}_{7}{{P}_{7}}\)?...

How do you evaluate 7P7{}_{7}{{P}_{7}}?

Explanation

Solution

We can infer by looking at the question that this is from Permutations and Combinations chapter. But for now, let us only look at permutation. Permutation is defined as the different arrangements which can be made by taking some or all of a number of things. Mathematically, it is the number of ways of arranging nn distinct objects in a row taking r(0<r<n)r\left( 0 < r < n \right) at a time is denoted by P(n,r)P\left( n,r \right) or nPr{}^{n}{{P}_{r}}.
nPr=n!(nr)!{}^{n}{{P}_{r}}=\dfrac{n!}{\left( n-r \right)!} .

Complete step by step answer:
nPr{}_{n}{{P}_{r}} is the same as nPr{}^{n}{{P}_{r}}.
The permutation which is given to us is 7P7{}_{7}{{P}_{7}}. It is the same as 7P7{}^{7}{{P}_{7}}.
So now let us evaluate it.
Upon comparing the given permutation with the standard form, we can conclude the following:
n=7 r=7 \begin{aligned} & n=7 \\\ & r=7 \\\ \end{aligned}
rrshould not be greater than nn. It can be less than or equal to nn.
r,nr,n are not mentioned in the question. We have taken up so as to simplify the question and arrive at the answer easily.
7P7=7P7=n!(nr)!=7!(77)!=7!0!\Rightarrow {}_{7}{{P}_{7}}={}^{7}{{P}_{7}}=\dfrac{n!}{\left( n-r \right)!}=\dfrac{7!}{\left( 7-7 \right)!}=\dfrac{7!}{0!} .
Here we must know that 0!0!is equal to 11 but not 00.
So upon solving, we get the following :
7P7=7P7=n!(nr)!=7!(77)!=7!0!=7!\Rightarrow {}_{7}{{P}_{7}}={}^{7}{{P}_{7}}=\dfrac{n!}{\left( n-r \right)!}=\dfrac{7!}{\left( 7-7 \right)!}=\dfrac{7!}{0!}=7!.
We know that 7!=7×6×5×4×3×2×1=50407!=7\times 6\times 5\times 4\times 3\times 2\times 1=5040.
7P7=7P7=n!(nr)!=7!(77)!=7!0!=7!=5040\Rightarrow {}_{7}{{P}_{7}}={}^{7}{{P}_{7}}=\dfrac{n!}{\left( n-r \right)!}=\dfrac{7!}{\left( 7-7 \right)!}=\dfrac{7!}{0!}=7!=5040

\therefore Hence, upon evaluating 7P7{}_{7}{{P}_{7}}, we get 50405040.

Note: It is very important to learn all the formulae and definitions present in this chapter. We should be very clear in each concept and not get confused between permutation and combination. Both of them seem similar but are yet so different.