In probability theory specifically, in stochastic analysis a killed process is a stochastic process that is forced to assume an undefined or "killed" state at some (possibly random) time.

Definition

Let X : T × Ω  S be a stochastic process defined for "times" t in some ordered index set T, on a probability space (Ω, Σ, P), and taking values in a measurable space S. Let ζ : Ω  T be a random time, referred to as the killing time. Then the killed process Y associated to X is defined by

and Yt is left undefined for t  ζ. Alternatively, one may set Yt = c for t  ζ, where c is a "coffin state" not in S.

See also

References

  • Øksendal, Bernt K. (2003). Stochastic Differential Equations: An Introduction with Applications (Sixth ed.). Berlin: Springer. ISBN 3-540-04758-1. (See Section 8.2)
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