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Lévy Process


A Lévy process is a stochastic process (X_t)_(t>=0) taking values in Euclidean space R^d, with X_0=0 almost surely, stationary independent increments, and stochastic continuity. Thus, for 0<=s<t, the statistical distribution of X_t-X_s depends only on t-s, and increments over disjoint time intervals are independent random variables.

Every Lévy process is determined in law by the infinitely divisible distribution of X_1. Standard Brownian motion and the Poisson process are basic examples, respectively having continuous paths and jump paths.


See also

Brownian Motion, Poisson Process, Stochastic Process

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References

Sato, K.-I. Lévy Processes and Infinitely Divisible Distributions. Cambridge, England: Cambridge University Press, 1999.

Referenced on Wolfram|Alpha

Lévy Process

Cite this as:

Weisstein, Eric W. "Lévy Process." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/LevyProcess.html

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