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In [[probability theory]], the '''Wick product''' is a particular way of defining an adjusted [[product (mathematics)|product]] of a set of [[random variable]]s. 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.
 
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]].
 
==Definition==
 
The Wick product,
 
:<math>\langle X_1,\dots,X_k \rangle\,</math>
 
is a sort of [[product (mathematics)|product]] of the [[random variable]]s, ''X''<sub>1</sub>,&nbsp;...,&nbsp;''X''<sub>''k''</sub>, defined recursively as follows:{{Citation needed|date=May 2012}}
 
:<math>\langle \rangle = 1\,</math>
 
(i.e. the [[empty product]]&mdash;the product of no random variables at all&mdash;is 1).  Thereafter finite [[moment (mathematics)|moments]] must be assumed.  Next, for ''k''≥1,
 
:<math>{\partial\langle X_1,\dots,X_k\rangle \over \partial X_i}
= \langle X_1,\dots,X_{i-1}, \widehat{X}_i, X_{i+1},\dots,X_k \rangle,</math>
 
where <math>\widehat{X}_i</math> means ''X''<sub>''i''</sub> is absent, and the constraint that
 
:<math> \operatorname{E} \langle X_1,\dots,X_k\rangle = 0\mbox{ for }k \ge 1. \,</math>
 
==Examples==
 
It follows that
 
:<math>\langle X \rangle = X - \operatorname{E}X,\,</math>
 
:<math>\langle X, Y \rangle = X Y - \operatorname{E}Y\cdot X - \operatorname{E}X\cdot Y+ 2(\operatorname{E}X)(\operatorname{E}Y) - \operatorname{E}(X Y).\,</math>
 
:<math>
\begin{align}
\langle X,Y,Z\rangle
=&XYZ\\
&-\operatorname{E}Y\cdot XZ\\
&-\operatorname{E}Z\cdot XY\\
&-\operatorname{E}X\cdot YZ\\
&+2(\operatorname{E}Y)(\operatorname{E}Z)\cdot X\\
&+2(\operatorname{E}X)(\operatorname{E}Z)\cdot Y\\
&+2(\operatorname{E}X)(\operatorname{E}Y)\cdot Z\\
&-\operatorname{E}(XZ)\cdot Y\\
&-\operatorname{E}(XY)\cdot Z\\
&-\operatorname{E}(YZ)\cdot X\,\\
\end{align}</math>
<!--
Perhaps the next several could be added here. -->
 
==Another notational convention==
 
In the notation conventional among physicists, the Wick product is often denoted thus:
 
:<math>: X_1, \dots, X_k:\,</math>
 
and the angle-bracket notation
 
:<math>\langle X \rangle\,</math>
 
is used to denote the [[expected value]] of the random variable ''X''.
 
==Wick powers==
 
The ''n''th '''Wick power''' of a random variable ''X'' is the Wick product
 
:<math>X'^n = \langle X,\dots,X \rangle\,</math>
 
with ''n'' factors.
 
The sequence of polynomials ''P''<sub>''n''</sub> such that
 
:<math>P_n(X) = \langle X,\dots,X \rangle = X'^n\,</math>
 
form an [[Appell sequence]], i.e. they satisfy the identity
 
:<math>P_n'(x) = nP_{n-1}(x),\,</math>
 
for ''n'' = 0, 1, 2, ... and ''P''<sub>0</sub>(''x'') is a nonzero constant.
 
For example, it can be shown that if ''X'' is [[uniform distribution (continuous)|uniformly distributed]] on the interval [0,&nbsp;1], then
 
:<math> X'^n = B_n(X)\, </math>
 
where ''B''<sub>''n''</sub> is the ''n''th-degree [[Bernoulli polynomial]]. Similarly, if ''X'' is [[Normal distribution|normally distributed]] with variance 1, then
 
:<math> X'^n = H_n(X)\, </math>
 
where ''H''<sub>''n''</sub> is the ''n''th [[Hermite polynomial]].
 
==Binomial theorem==
 
:<math> (aX+bY)^{'n} = \sum_{i=0}^n {n\choose i}a^ib^{n-i} X^{'i} Y^{'{n-i}}</math>
 
== Wick exponential ==
 
:<math>\langle \operatorname{exp}(aX)\rangle \ \stackrel{\mathrm{def}}{=} \ \sum_{i=0}^\infty\frac{a^i}{i!} X^{'i}</math>
 
{{No footnotes|date=May 2012}}
 
==References==
* [http://www.encyclopediaofmath.org/index.php/Wick_product Wick Product] ''Springer Encyclopedia of Mathematics''
 
* Florin Avram and [[Murad Taqqu]], (1987) "Noncentral Limit Theorems and Appell Polynomials", ''Annals of Probability'', volume 15, number 2, pages 767&mdash;775, 1987.
 
* Hida, T. and Ikeda, N. (1967) "Analysis on Hilbert space with reproducing kernel arising from multiple Wiener integral". ''Proc. Fifth Berkeley Sympos. Math. Statist. and Probability (Berkeley, Calif., 1965/66). Vol. II: Contributions to Probability Theory, Part 1'' pp.&nbsp;117–143 Univ. California Press
 
* Wick, G. C. (1950) "The evaluation of the collision matrix". ''Physical Rev.'' 80 (2), 268&ndash;272.
 
* Hu, Yao-zhong; Yan, Jia-an (2009) [http://arxiv.org/abs/0901.4911v1 "Wick calculus for nonlinear Gaussian functionals"], ''Acta Mathematicae Applicatae Sinica (English Series)'', 25 (3), 399&ndash;414 {{doi|10.1007/s10255-008-8808-0}}
 
[[Category:Algebra of random variables]]

Revision as of 12:30, 30 January 2014

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.

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.

Definition

The Wick product,

X1,,Xk

is a sort of product of the random variables, X1, ..., Xk, defined recursively as follows:Potter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park.

=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,

X1,,XkXi=X1,,Xi1,X^i,Xi+1,,Xk,

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

EX1,,Xk=0 for k1.

Examples

It follows that

X=XEX,
X,Y=XYEYXEXY+2(EX)(EY)E(XY).
X,Y,Z=XYZEYXZEZXYEXYZ+2(EY)(EZ)X+2(EX)(EZ)Y+2(EX)(EY)ZE(XZ)YE(XY)ZE(YZ)X

Another notational convention

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

:X1,,Xk:

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

Pn(X)=X,,X=X'n

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

Pn(x)=nPn1(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=Bn(X)

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

X'n=Hn(X)

where Hn is the nth Hermite polynomial.

Binomial theorem

(aX+bY)'n=i=0n(ni)aibniX'iY'ni

Wick exponential

exp(aX)=defi=0aii!X'i

Template:No footnotes

References

  • Florin Avram and Murad Taqqu, (1987) "Noncentral Limit Theorems and Appell Polynomials", Annals of Probability, volume 15, number 2, pages 767—775, 1987.
  • Hida, T. and Ikeda, N. (1967) "Analysis on Hilbert space with reproducing kernel arising from multiple Wiener integral". Proc. Fifth Berkeley Sympos. Math. Statist. and Probability (Berkeley, Calif., 1965/66). Vol. II: Contributions to Probability Theory, Part 1 pp. 117–143 Univ. California Press
  • Wick, G. C. (1950) "The evaluation of the collision matrix". Physical Rev. 80 (2), 268–272.