Killed process

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

[math]\displaystyle{ Y_{t} = X_{t} \mbox{ for } t \lt \zeta, }[/math]

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

* Stopped process

## 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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