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Laplace Functional


The Laplace functional of a random measure X is the functional

 L_X(f)=E[exp(-intfdX)],

where E denotes the expected value; the functional is defined for suitable nonnegative measurable functions f. It is called a functional because its argument is the entire function f, rather than a number. The Laplace functional generalizes the Laplace transform of a random variable and, under standard conditions, determines the probability law of the random measure. Given a sigma-algebra G representing available information, the conditional Laplace functional is the conditional expectation

 L_X(f|G)=E[exp(-intfdX)|G].

It is therefore a random quantity determined by that information; conditioning on an initial state or on an event gives common special cases.


See also

Conditional Expectation, Expectation Value, Functional, Laplace Transform, Measure, Random Variable, Superprocess

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References

Dynkin, E. B. An Introduction to Branching Measure-Valued Processes. Providence, RI: Amer. Math. Soc., 1994.

Cite this as:

Weisstein, Eric W. "Laplace Functional." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/LaplaceFunctional.html

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