Pascal's rule
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, {\displaystyle {n-1 \choose k}+{n-1 \choose k-1}={n \choose k},} where {\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 {\displaystyle {\tbinom {n}{k}}=0} whenever n < k.
Together with the boundary conditions {\displaystyle {\tbinom {n}{0}}={\tbinom {n}{n}}=1} for all nonnegative integers n, Pascal's rule determines that {\displaystyle {\binom {n}{k}}={\frac {n!}{k!(n-k)!}},} for all integers 0 ≤ k ≤ n. 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
[edit ]Pascal's rule has an intuitive combinatorial meaning, that is clearly expressed in this counting proof.[2] : 44
Proof. Recall that {\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 {\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 {\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, {\displaystyle {\tbinom {n-1}{k-1}}+{\tbinom {n-1}{k}}}.
This equals {\displaystyle {\tbinom {n}{k}}}; therefore, {\displaystyle {\tbinom {n}{k}}={\tbinom {n-1}{k-1}}+{\tbinom {n-1}{k}}}.
Algebraic proof
[edit ]Alternatively, the algebraic derivation of the binomial case follows. {\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: {\displaystyle {\tbinom {n}{k}}={\frac {n(n-1)\cdots (n-k+1)}{k!}}}. Indeed
{\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 {\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
[edit ]Pascal's rule can be generalized to multinomial coefficients.[2] : 144 For any integer p such that {\displaystyle p\geq 2}, {\displaystyle k_{1},k_{2},k_{3},\dots ,k_{p}\in \mathbb {Z} ^{+}\!,} and {\displaystyle n=k_{1}+k_{2}+k_{3}+\cdots +k_{p}\geq 1}, {\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 {\displaystyle {n \choose k_{1},k_{2},k_{3},\dots ,k_{p}}} is the coefficient of the {\displaystyle x_{1}^{k_{1}}x_{2}^{k_{2}}\cdots x_{p}^{k_{p}}} term in the expansion of {\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 {\displaystyle p\geq 2}, {\displaystyle k_{1},k_{2},k_{3},\dots ,k_{p}\in \mathbb {N} ^{+}\!,} and {\displaystyle n=k_{1}+k_{2}+k_{3}+\cdots +k_{p}\geq 1}. Then {\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
[edit ]References
[edit ]- ^ Mazur, David R. (2010), Combinatorics / A Guided Tour, Mathematical Association of America, p. 60, ISBN 978-0-88385-762-5
- ^ a b c Brualdi, Richard A. (2010), Introductory Combinatorics (5th ed.), Prentice-Hall, ISBN 978-0-13-602040-0
Bibliography
[edit ]- Merris, Russell. Combinatorics. John Wiley & Sons. 2003 ISBN 978-0-471-26296-1
External links
[edit ]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.