Sample-continuous process

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In mathematics, a sample-continuous process is a stochastic process whose sample paths are almost surely continuous functions.

Definition

Let (Ω, Σ, P) be a

continuous as a function of topological spaces for P-almost all
ω in Ω.

In many examples, the index set I is an interval of time, [0, T] or [0, +∞), and the state space S is the

Rn.

Examples

  • Brownian motion (the Wiener process) on Euclidean space is sample-continuous.
  • For "nice" parameters of the equations, solutions to stochastic differential equations are sample-continuous. See the existence and uniqueness theorem in the stochastic differential equations article for some sufficient conditions to ensure sample continuity.
  • The process X : [0, +∞) × Ω → R that makes equiprobable jumps up or down every unit time according to
is not sample-continuous. In fact, it is surely discontinuous.

Properties

See also

References

  • Kloeden, Peter E.; Platen, Eckhard (1992). Numerical solution of stochastic differential equations. Applications of Mathematics (New York) 23. Berlin: Springer-Verlag. pp. 38–39. .