Math 2.0

Probability theory and stochastic processes Definition

Excessive function

Builds on Markov kernelWiener processSuperharmonic function

Definition

Let (E,ℰ)(E, \mathcal{E}) be a measurable space. Let (Pt)t≥0(P_t)_{t \ge 0} be a sub-Markov transition semigroup on EE. That is, each PtP_t is a kernel as for a Markov kernel, except that the total mass satisfies Pt(x,E)≤1P_t(x, E) \le 1, P0P_0 is the identity, and PsPt=Ps+tP_s P_t = P_{s+t}. For a measurable f ⁣:E→[0,∞]f \colon E \to [0, \infty], write Ptf(x)=∫Ef(y) Pt(x,dy)P_t f(x) = \int_E f(y) \, P_t(x, dy). A measurable function f ⁣:E→[0,∞]f \colon E \to [0, \infty] is excessive for (Pt)(P_t) if:

  1. Ptf≤fP_t f \le f for every t≥0t \ge 0.
  2. Ptf(x)→f(x)P_t f(x) \to f(x) as t↓0t \downarrow 0, for every x∈Ex \in E.

Remarks

Under clause 1, t↦Ptft \mapsto P_t f is decreasing, since Pt+sf=Pt(Psf)≤PtfP_{t+s} f = P_t (P_s f) \le P_t f; so the limit in clause 2 exists and is at most ff. A function with clause 1 alone is called supermedian; for α>0\alpha > 0, the α\alpha-excessive functions are those that are excessive for the semigroup e−αtPte^{-\alpha t} P_t. Example: let (Pt)(P_t) be the semigroup of Brownian motion in ℝ3\R^3 and f(x)=1/∣x∣f(x) = 1/\abs{x}, with f(0)=∞f(0) = \infty. Then ff is a nonnegative superharmonic function, and averaging it against the Gaussian kernel gives Ptf≤fP_t f \le f with Ptf↑fP_t f \uparrow f as t↓0t \downarrow 0, so ff is excessive. Non-example: for the same semigroup, let ff be the indicator of the single point 00. Then Ptf=0≤fP_t f = 0 \le f, so clause 1 holds, but Ptf(0)=0P_t f(0) = 0 does not tend to f(0)=1f(0) = 1, so clause 2 fails. For Brownian motion in ℝd\R^d, the excessive functions are exactly the nonnegative superharmonic functions on ℝd\R^d, together with the constant +∞+\infty.

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  1. Markov kernel concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Hunt_process
About this page
TagBWMS6B1M5N
URIm2://BWMS6B1M5N
Kinddefinition
WritingW0 stub
MSC60J45, 31D05
DefinesExcessive function
UsesMarkov kernel, Wiener process, Superharmonic function

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