Regularity of the stationary density for systems with fast random switching

Abstract We consider the piecewise-deterministic Markov process obtained by randomly switching between the flows generated by a finite set of smooth vector fields on a compact set. We obtain Hörmander-type conditions on the vector fields guaranteeing that the stationary density is: C k whenever the jump rates are sufficiently fast, for any <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi>k</mml:mi> <mml:mo>&lt;</mml:mo> <mml:mi mathvariant="normal">∞</mml:mi> </mml:mrow> </mml:math> ; unbounded whenever the jump rates are sufficiently slow and lower semicontinuous regardless of the jump rates. Our proofs are probabilistic, relying on a novel application of stopping times.

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Publication Details

Journal
Nonlinearity
Published
2025-08-12
DOI
https://doi.org/10.1088/1361-6544/adeef8
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21

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article

Regularity of the stationary density for systems with fast random switching

Michel Benaı̈m, Oliver Tough
1 citations
Nonlinearity
Stochastic processes and financial applications
2.21
article

Regularity of the stationary density for systems with fast random switching

Michel Benaı̈m, Oliver Tough
article en
1 citations

Abstract

Abstract We consider the piecewise-deterministic Markov process obtained by randomly switching between the flows generated by a finite set of smooth vector fields on a compact set. We obtain Hörmander-type conditions on the vector fields guaranteeing that the stationary density is: C k whenever the jump rates are sufficiently fast, for any <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi>k</mml:mi> <mml:mo>&lt;</mml:mo> <mml:mi mathvariant="normal">∞</mml:mi> </mml:mrow> </mml:math> ; unbounded whenever the jump rates are sufficiently slow and lower semicontinuous regardless of the jump rates. Our proofs are probabilistic, relying on a novel application of stopping times.

NonlinearityVol. 38(8)
Durham University (GB), University of Neuchâtel (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 12%
Stochastic processes and financial applications
2.21
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