If X is a random variable, the moments sn and cumulants (same as the Ursell functions) un are functions of X related by the exponential formula:
(where E {\displaystyle \operatorname {E} } is the expectation).
The Ursell functions for multivariate random variables are defined analogously to the above, and in the same way as multivariate cumulants.1
The Ursell functions of a single random variable X are obtained from these by setting X = X1 = … = Xn.
The first few are given by
Percus (1975) showed that the Ursell functions, considered as multilinear functions of several random variables, are uniquely determined up to a constant by the fact that they vanish whenever the variables Xi can be divided into two nonempty independent sets.
Shlosman, S. B. (1986). "Signs of the Ising model Ursell functions". Communications in Mathematical Physics. 102 (4): 679–686. Bibcode:1985CMaPh.102..679S. doi:10.1007/BF01221652. S2CID 122963530. http://projecteuclid.org/euclid.cmp/1104114545 ↩