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Sample path properties of permanental processes

Authors: Marcus, Michael B.; Rosen, Jay;

Sample path properties of permanental processes

Abstract

Let $X_α=\{X_α(t),t\in T\}$, $α>0$, be an $α$-permanental process with kernel $u(s,t)$. We show that $X^{1/2}_α$ is a subgaussian process with respect to the metric $σ(s,t)= (u(s,s)+u(t,t)-2(u(s,t)u(t,s))^{1/2})^{1/2}$. This allows us to use the vast literature on sample path properties of subgaussian processes to extend these properties to $α$-permanental processes. Local and uniform moduli of continuity are obtained as well as the behavior of the processes at infinity. Examples are given of permanental processes with kernels that are the potential density of transient Lévy processes that are not necessarily symmetric, or with kernels of the form $ \hat u(x,y)= u(x,y)+f(y)$, where $u$ is the potential density of a symmetric transient Borel right process and $f$ is an excessive function for the process.

Keywords

Probability (math.PR), Gaussian processes, permanental processes, Stochastic analysis, 60K99, 60G15, 60G17, 60G99, moduli of continuity of permanental processes, 60G17, 60K99, 60G15, FOS: Mathematics, subgaussian processes, permanental processes at infinity, 60G99, Sample path properties, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
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