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Wick product

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In probability theory, the Wick product is a particular way of defining an adjusted product of a set of random variables. In the lowest order product the adjustment corresponds to subtracting off the mean value, to leave a result whose mean is zero. For the higher order products the adjustment involves subtracting off lower order (ordinary) products of the random variables, in a symmetric way, again leaving a result whose mean is zero. The Wick product is a polynomial function of the random variables, their expected values, and expected values of their products.

Contents

The definition of the Wick product immediately leads to the Wick power of a single random variable and this allows analogues of other functions of random variables to be defined on the basis of replacing the ordinary powers in a power-series expansions by the Wick powers.

The Wick product is named after physicist Gian-Carlo Wick, cf. Wick's theorem.

Definition

The Wick product,

X 1 , , X k

is a sort of product of the random variables, X1, ..., Xk, defined recursively as follows:

= 1

(i.e. the empty product—the product of no random variables at all—is 1). Thereafter finite moments must be assumed. Next, for k≥1,

X 1 , , X k X i = X 1 , , X i 1 , X ^ i , X i + 1 , , X k ,

where X ^ i means Xi is absent, and the constraint that

E X 1 , , X k = 0  for  k 1.

Examples

It follows that

X = X E X , X , Y = X Y E Y X E X Y + 2 ( E X ) ( E Y ) E ( X Y ) . X , Y , Z = X Y Z E Y X Z E Z X Y E X Y Z + 2 ( E Y ) ( E Z ) X + 2 ( E X ) ( E Z ) Y + 2 ( E X ) ( E Y ) Z E ( X Z ) Y E ( X Y ) Z E ( Y Z ) X E ( X Y Z ) .

Another notational convention

In the notation conventional among physicists, the Wick product is often denoted thus:

: X 1 , , X k :

and the angle-bracket notation

X

is used to denote the expected value of the random variable X.

Wick powers

The nth Wick power of a random variable X is the Wick product

X n = X , , X

with n factors.

The sequence of polynomials Pn such that

P n ( X ) = X , , X = X n

form an Appell sequence, i.e. they satisfy the identity

P n ( x ) = n P n 1 ( x ) ,

for n = 0, 1, 2, ... and P0(x) is a nonzero constant.

For example, it can be shown that if X is uniformly distributed on the interval [0, 1], then

X n = B n ( X )

where Bn is the nth-degree Bernoulli polynomial. Similarly, if X is normally distributed with variance 1, then

X n = H n ( X )

where Hn is the nth Hermite polynomial.

Binomial theorem

( a X + b Y ) n = i = 0 n ( n i ) a i b n i X i Y n i

Wick exponential

exp ( a X )   = d e f   i = 0 a i i ! X i

References

Wick product Wikipedia