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defining averages over unknown PDF
*To*: mathgroup at smc.vnet.net
*Subject*: [mg131941] defining averages over unknown PDF
*From*: Sune <sunenj at gmail.com>
*Date*: Mon, 4 Nov 2013 23:16:59 -0500 (EST)
*Delivered-to*: l-mathgroup@mail-archive0.wolfram.com
*Delivered-to*: l-mathgroup@wolfram.com
*Delivered-to*: mathgroup-outx@smc.vnet.net
*Delivered-to*: mathgroup-newsendx@smc.vnet.net
Dear all.
I want to do some symbolic manipulations of an expression involving averages over a stochastic variable with an unknown density. Therefore, I figured I could define a function av, which would correspond to the average over this unknown parameter density function.
I did as follows:
av[y_ + z_, x_] := av[y, x] + av[z, x]?
av[c_ y_, x_] := c av[y, x] /; FreeQ[c, x]
av[c_, x_] := c /; FreeQ[c, x]
So these are basic properties of the average over the distribution of X. Some things work okay, for example
In[52]:= av[Exp[-x y], x]?
Out[52]= av[E^(-x y), x]
and
In[79]:= D[av[-x y, x], x]?
Out[79]= -y
and
In[80]:= D[av[-x y, x], y]?
Out[80]= -av[x, x].
However, the most vital part for my calculations does not work:
In[81]:= D[av[Exp[-x y], x], y]?
Out[81]= -E^(-x y) x
It should have been av[-Exp[-x y] x,x].
Any clues to what I'm doing wrong? I'm thinking that I need to specify some rules for differentiation, but I don't know how. But then I'm wondering how come it got the other expressions for differentiation right.
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