TOPICS
Search

Lévy Process


A Lévy process is a stochastic process (X_t)_(t>=0) with X_0=0 almost surely, stationary independent increments, and stochastic continuity. Thus, for 0<=s<t, the 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 by an infinitely divisible distribution. Brownian motion and the Poisson process are basic examples, respectively having continuous paths and jump paths.


See also

Brownian Motion, Poisson Process, Stochastic Process

Explore with Wolfram|Alpha

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

Subject classifications