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Pascal's rule

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Combinatorial identity about binomial coefficients
Not to be confused with Pascal's law.

In mathematics, Pascal's rule (or Pascal's formula) is a combinatorial identity about binomial coefficients. The binomial coefficients are the numbers that appear in Pascal's triangle. Pascal's rule states that for positive integers n and k, ( n 1 k ) + ( n 1 k 1 ) = ( n k ) , {\displaystyle {n-1 \choose k}+{n-1 \choose k-1}={n \choose k},} {\displaystyle {n-1 \choose k}+{n-1 \choose k-1}={n \choose k},} where ( n k ) {\displaystyle {\tbinom {n}{k}}} {\displaystyle {\tbinom {n}{k}}} is the binomial coefficient, namely the coefficient of the xk term in the expansion of (1 + x)n. There is no restriction on the relative sizes of n and k;[1] in particular, the above identity remains valid when n < k since ( n k ) = 0 {\displaystyle {\tbinom {n}{k}}=0} {\displaystyle {\tbinom {n}{k}}=0} whenever n < k.

Together with the boundary conditions ( n 0 ) = ( n n ) = 1 {\displaystyle {\tbinom {n}{0}}={\tbinom {n}{n}}=1} {\displaystyle {\tbinom {n}{0}}={\tbinom {n}{n}}=1} for all nonnegative integers n, Pascal's rule determines that ( n k ) = n ! k ! ( n k ) ! , {\displaystyle {\binom {n}{k}}={\frac {n!}{k!(n-k)!}},} {\displaystyle {\binom {n}{k}}={\frac {n!}{k!(n-k)!}},} for all integers 0 ≤ kn. In this sense, Pascal's rule is the recurrence relation that defines the binomial coefficients.

Pascal's rule can also be generalized to apply to multinomial coefficients.

Combinatorial proof

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Illustrates combinatorial proof: ( 4 1 ) + ( 4 2 ) = ( 5 2 ) . {\displaystyle {\binom {4}{1}}+{\binom {4}{2}}={\binom {5}{2}}.} {\displaystyle {\binom {4}{1}}+{\binom {4}{2}}={\binom {5}{2}}.}

Pascal's rule has an intuitive combinatorial meaning, that is clearly expressed in this counting proof.[2] : 44 

Proof. Recall that ( n k ) {\displaystyle {\tbinom {n}{k}}} {\displaystyle {\tbinom {n}{k}}} equals the number of subsets with k elements from a set with n elements. Suppose one particular element is uniquely labeled X in a set with n elements.

To construct a subset of k elements containing X, include X and choose k − 1 elements from the remaining n − 1 elements in the set. There are ( n 1 k 1 ) {\displaystyle {\tbinom {n-1}{k-1}}} {\displaystyle {\tbinom {n-1}{k-1}}} such subsets.

To construct a subset of k elements not containing X, choose k elements from the remaining n − 1 elements in the set. There are ( n 1 k ) {\displaystyle {\tbinom {n-1}{k}}} {\displaystyle {\tbinom {n-1}{k}}} such subsets.

Every subset of k elements either contains X or not. The total number of subsets with k elements in a set of n elements is the sum of the number of subsets containing X and the number of subsets that do not contain X, ( n 1 k 1 ) + ( n 1 k ) {\displaystyle {\tbinom {n-1}{k-1}}+{\tbinom {n-1}{k}}} {\displaystyle {\tbinom {n-1}{k-1}}+{\tbinom {n-1}{k}}}.

This equals ( n k ) {\displaystyle {\tbinom {n}{k}}} {\displaystyle {\tbinom {n}{k}}}; therefore, ( n k ) = ( n 1 k 1 ) + ( n 1 k ) {\displaystyle {\tbinom {n}{k}}={\tbinom {n-1}{k-1}}+{\tbinom {n-1}{k}}} {\displaystyle {\tbinom {n}{k}}={\tbinom {n-1}{k-1}}+{\tbinom {n-1}{k}}}.

Algebraic proof

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Alternatively, the algebraic derivation of the binomial case follows. ( n 1 k ) + ( n 1 k 1 ) = ( n 1 ) ! k ! ( n 1 k ) ! + ( n 1 ) ! ( k 1 ) ! ( n k ) ! = ( n 1 ) ! [ n k k ! ( n k ) ! + k k ! ( n k ) ! ] = ( n 1 ) ! n k ! ( n k ) ! = n ! k ! ( n k ) ! = ( n k ) . {\displaystyle {\begin{aligned}{n-1 \choose k}+{n-1 \choose k-1}&={\frac {(n-1)!}{k!(n-1-k)!}}+{\frac {(n-1)!}{(k-1)!(n-k)!}}\\&=(n-1)!\left[{\frac {n-k}{k!(n-k)!}}+{\frac {k}{k!(n-k)!}}\right]\\&=(n-1)!{\frac {n}{k!(n-k)!}}\\&={\frac {n!}{k!(n-k)!}}\\&={\binom {n}{k}}.\end{aligned}}} {\displaystyle {\begin{aligned}{n-1 \choose k}+{n-1 \choose k-1}&={\frac {(n-1)!}{k!(n-1-k)!}}+{\frac {(n-1)!}{(k-1)!(n-k)!}}\\&=(n-1)!\left[{\frac {n-k}{k!(n-k)!}}+{\frac {k}{k!(n-k)!}}\right]\\&=(n-1)!{\frac {n}{k!(n-k)!}}\\&={\frac {n!}{k!(n-k)!}}\\&={\binom {n}{k}}.\end{aligned}}}

An alternative algebraic proof using the alternative definition of binomial coefficients: ( n k ) = n ( n 1 ) ( n k + 1 ) k ! {\displaystyle {\tbinom {n}{k}}={\frac {n(n-1)\cdots (n-k+1)}{k!}}} {\displaystyle {\tbinom {n}{k}}={\frac {n(n-1)\cdots (n-k+1)}{k!}}}. Indeed

( n 1 k ) + ( n 1 k 1 ) = ( n 1 ) ( ( n 1 ) k + 1 ) k ! + ( n 1 ) ( ( n 1 ) ( k 1 ) + 1 ) ( k 1 ) ! = ( n 1 ) ( n k ) k ! + ( n 1 ) ( n k + 1 ) ( k 1 ) ! = ( n 1 ) ( n k + 1 ) ( k 1 ) ! [ n k k + 1 ] = ( n 1 ) ( n k + 1 ) ( k 1 ) ! n k = n ( n 1 ) ( n k + 1 ) k ! = ( n k ) . {\displaystyle {\begin{aligned}{n-1 \choose k}+{n-1 \choose k-1}&={\frac {(n-1)\cdots ((n-1)-k+1)}{k!}}+{\frac {(n-1)\cdots ((n-1)-(k-1)+1)}{(k-1)!}}\\&={\frac {(n-1)\cdots (n-k)}{k!}}+{\frac {(n-1)\cdots (n-k+1)}{(k-1)!}}\\&={\frac {(n-1)\cdots (n-k+1)}{(k-1)!}}\left[{\frac {n-k}{k}}+1\right]\\&={\frac {(n-1)\cdots (n-k+1)}{(k-1)!}}\cdot {\frac {n}{k}}\\&={\frac {n(n-1)\cdots (n-k+1)}{k!}}\\&={\binom {n}{k}}.\end{aligned}}} {\displaystyle {\begin{aligned}{n-1 \choose k}+{n-1 \choose k-1}&={\frac {(n-1)\cdots ((n-1)-k+1)}{k!}}+{\frac {(n-1)\cdots ((n-1)-(k-1)+1)}{(k-1)!}}\\&={\frac {(n-1)\cdots (n-k)}{k!}}+{\frac {(n-1)\cdots (n-k+1)}{(k-1)!}}\\&={\frac {(n-1)\cdots (n-k+1)}{(k-1)!}}\left[{\frac {n-k}{k}}+1\right]\\&={\frac {(n-1)\cdots (n-k+1)}{(k-1)!}}\cdot {\frac {n}{k}}\\&={\frac {n(n-1)\cdots (n-k+1)}{k!}}\\&={\binom {n}{k}}.\end{aligned}}}

Since ( z k ) = z ( z 1 ) ( z k + 1 ) k ! {\displaystyle {\tbinom {z}{k}}={\frac {z(z-1)\cdots (z-k+1)}{k!}}} {\displaystyle {\tbinom {z}{k}}={\frac {z(z-1)\cdots (z-k+1)}{k!}}} is used as the extended definition of the binomial coefficient when z is a complex number, thus the above alternative algebraic proof shows that Pascal's rule holds more generally when n is replaced by any complex number.

Generalization

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Pascal's rule can be generalized to multinomial coefficients.[2] : 144  For any integer p such that p 2 {\displaystyle p\geq 2} {\displaystyle p\geq 2}, k 1 , k 2 , k 3 , , k p Z + , {\displaystyle k_{1},k_{2},k_{3},\dots ,k_{p}\in \mathbb {Z} ^{+}\!,} {\displaystyle k_{1},k_{2},k_{3},\dots ,k_{p}\in \mathbb {Z} ^{+}\!,} and n = k 1 + k 2 + k 3 + + k p 1 {\displaystyle n=k_{1}+k_{2}+k_{3}+\cdots +k_{p}\geq 1} {\displaystyle n=k_{1}+k_{2}+k_{3}+\cdots +k_{p}\geq 1}, ( n 1 k 1 1 , k 2 , k 3 , , k p ) + ( n 1 k 1 , k 2 1 , k 3 , , k p ) + + ( n 1 k 1 , k 2 , k 3 , , k p 1 ) = ( n k 1 , k 2 , k 3 , , k p ) {\displaystyle {n-1 \choose k_{1}-1,k_{2},k_{3},\dots ,k_{p}}+{n-1 \choose k_{1},k_{2}-1,k_{3},\dots ,k_{p}}+\cdots +{n-1 \choose k_{1},k_{2},k_{3},\dots ,k_{p}-1}={n \choose k_{1},k_{2},k_{3},\dots ,k_{p}}} {\displaystyle {n-1 \choose k_{1}-1,k_{2},k_{3},\dots ,k_{p}}+{n-1 \choose k_{1},k_{2}-1,k_{3},\dots ,k_{p}}+\cdots +{n-1 \choose k_{1},k_{2},k_{3},\dots ,k_{p}-1}={n \choose k_{1},k_{2},k_{3},\dots ,k_{p}}} where ( n k 1 , k 2 , k 3 , , k p ) {\displaystyle {n \choose k_{1},k_{2},k_{3},\dots ,k_{p}}} {\displaystyle {n \choose k_{1},k_{2},k_{3},\dots ,k_{p}}} is the coefficient of the x 1 k 1 x 2 k 2 x p k p {\displaystyle x_{1}^{k_{1}}x_{2}^{k_{2}}\cdots x_{p}^{k_{p}}} {\displaystyle x_{1}^{k_{1}}x_{2}^{k_{2}}\cdots x_{p}^{k_{p}}} term in the expansion of ( x 1 + x 2 + + x p ) n {\displaystyle (x_{1}+x_{2}+\dots +x_{p})^{n}} {\displaystyle (x_{1}+x_{2}+\dots +x_{p})^{n}}.

The algebraic derivation for this general case is as follows.[2] : 144  Let p be an integer such that p 2 {\displaystyle p\geq 2} {\displaystyle p\geq 2}, k 1 , k 2 , k 3 , , k p N + , {\displaystyle k_{1},k_{2},k_{3},\dots ,k_{p}\in \mathbb {N} ^{+}\!,} {\displaystyle k_{1},k_{2},k_{3},\dots ,k_{p}\in \mathbb {N} ^{+}\!,} and n = k 1 + k 2 + k 3 + + k p 1 {\displaystyle n=k_{1}+k_{2}+k_{3}+\cdots +k_{p}\geq 1} {\displaystyle n=k_{1}+k_{2}+k_{3}+\cdots +k_{p}\geq 1}. Then ( n 1 k 1 1 , k 2 , k 3 , , k p ) + ( n 1 k 1 , k 2 1 , k 3 , , k p ) + + ( n 1 k 1 , k 2 , k 3 , , k p 1 ) = ( n 1 ) ! ( k 1 1 ) ! k 2 ! k 3 ! k p ! + ( n 1 ) ! k 1 ! ( k 2 1 ) ! k 3 ! k p ! + + ( n 1 ) ! k 1 ! k 2 ! k 3 ! ( k p 1 ) ! = k 1 ( n 1 ) ! k 1 ! k 2 ! k 3 ! k p ! + k 2 ( n 1 ) ! k 1 ! k 2 ! k 3 ! k p ! + + k p ( n 1 ) ! k 1 ! k 2 ! k 3 ! k p ! = ( k 1 + k 2 + + k p ) ( n 1 ) ! k 1 ! k 2 ! k 3 ! k p ! = n ( n 1 ) ! k 1 ! k 2 ! k 3 ! k p ! = n ! k 1 ! k 2 ! k 3 ! k p ! = ( n k 1 , k 2 , k 3 , , k p ) . {\displaystyle {\begin{aligned}&{}\quad {n-1 \choose k_{1}-1,k_{2},k_{3},\dots ,k_{p}}+{n-1 \choose k_{1},k_{2}-1,k_{3},\dots ,k_{p}}+\cdots +{n-1 \choose k_{1},k_{2},k_{3},\dots ,k_{p}-1}\\&={\frac {(n-1)!}{(k_{1}-1)!k_{2}!k_{3}!\cdots k_{p}!}}+{\frac {(n-1)!}{k_{1}!(k_{2}-1)!k_{3}!\cdots k_{p}!}}+\cdots +{\frac {(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots (k_{p}-1)!}}\\&={\frac {k_{1}(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}+{\frac {k_{2}(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}+\cdots +{\frac {k_{p}(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}={\frac {(k_{1}+k_{2}+\cdots +k_{p})(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}\\&={\frac {n(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}={\frac {n!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}={n \choose k_{1},k_{2},k_{3},\dots ,k_{p}}.\end{aligned}}} {\displaystyle {\begin{aligned}&{}\quad {n-1 \choose k_{1}-1,k_{2},k_{3},\dots ,k_{p}}+{n-1 \choose k_{1},k_{2}-1,k_{3},\dots ,k_{p}}+\cdots +{n-1 \choose k_{1},k_{2},k_{3},\dots ,k_{p}-1}\\&={\frac {(n-1)!}{(k_{1}-1)!k_{2}!k_{3}!\cdots k_{p}!}}+{\frac {(n-1)!}{k_{1}!(k_{2}-1)!k_{3}!\cdots k_{p}!}}+\cdots +{\frac {(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots (k_{p}-1)!}}\\&={\frac {k_{1}(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}+{\frac {k_{2}(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}+\cdots +{\frac {k_{p}(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}={\frac {(k_{1}+k_{2}+\cdots +k_{p})(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}\\&={\frac {n(n-1)!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}={\frac {n!}{k_{1}!k_{2}!k_{3}!\cdots k_{p}!}}={n \choose k_{1},k_{2},k_{3},\dots ,k_{p}}.\end{aligned}}}

See also

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References

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  1. ^ Mazur, David R. (2010), Combinatorics / A Guided Tour, Mathematical Association of America, p. 60, ISBN 978-0-88385-762-5
  2. ^ a b c Brualdi, Richard A. (2010), Introductory Combinatorics (5th ed.), Prentice-Hall, ISBN 978-0-13-602040-0

Bibliography

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This article incorporates material from Pascal's triangle on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.

This article incorporates material from Pascal's rule proof on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.

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