一個知道范德蒙恆等式的人,
Vandermonde’s identity
In combinatorics, Vandermonde’s identity, or Vandermonde’s convolution, named after Alexandre-Théophile Vandermonde (1772), states that
for binomial coefficients. This identity was given already in 1303 by the Chinese mathematician Zhu Shijie (Chu Shi-Chieh). See Askey 1975, pp. 59–60 for the history.
There is a q-analog to this theorem called the q-Vandermonde identity.
The general form of Vandermonde’s identity is
- .
是否就能用它來說明
。
假使他還通熟它的多種證明方法,
Proofs
Algebraic proof
In general, the product of two polynomials with degrees m and n, respectively, is given by
where we use the convention that ai = 0 for all integers i > m and bj = 0 for all integers j > n. By the binomial theorem,
Using the binomial theorem also for the exponents m and n, and then the above formula for the product of polynomials, we obtain
where the above convention for the coefficients of the polynomials agrees with the definition of the binomial coefficients, because both give zero for all i > m and j > n, respectively.
By comparing coefficients of xr, Vandermonde’s identity follows for all integers r with 0 ≤ r ≤ m + n. For larger integers r, both sides of Vandermonde’s identity are zero due to the definition of binomial coefficients.
Combinatorial proof
Vandermonde’s identity also admits a combinatorial double counting proof, as follows. Suppose a committee consists of m men and n women. In how many ways can a subcommittee of r members be formed? The answer is
The answer is also the sum over all possible values of k, of the number of subcommittees consisting of k men and r − k women:
Geometrical proof
Take a rectangular grid of r x (m+n-r) squares. There are
paths that start on the bottom left vertex and, moving only upwards or rightwards, end at the top right vertex (this is because r right moves and m+n-r up moves must be made (or vice versa) in any order, and the total path length is m+n). Call the bottom left vertex (0,0).
There are paths starting at (0,0) that end at (k,m-k), as k right moves and m-k upward moves must be made (and the path length is m). Similarly, there are paths starting at (k,m-k) that end at (r,m+n-r), as a total of r-k right moves and (m+n-r)-(m-k) upward moves must be made and the path length must be r-k + (m+n-r)-(m-k) = n. Thus there are
paths that start at (0,0), end at (r,m+n-r), and go through (k,m-k). This is a subset of all paths that start at (0,0) and end at (r,m+n-r), so sum from k=0 to k=r (as the point (k,m-k) is confined to be within the square) to obtain the total number of paths that start at (0,0) and end at (r,m+n-r).
是否可以用它來推導『獨立隨機變數』之線性組合機率母函數︰
Probability generating functions are particularly useful for dealing with functions of independent random variables. For example:
- If X1, X2, …, Xn is a sequence of independent (and not necessarily identically distributed) random variables, and
- where the ai are constants, then the probability generating function is given by
- For example, if
- then the probability generating function, GSn(z), is given by
- It also follows that the probability generating function of the difference of two independent random variables S = X1 − X2 is
進而清楚解釋
如果 是兩個獨立的二項分布隨機變數,那麼 也是一個二項分布隨機變數。
知其實無法闡釋下圖現象的嗎?