Sticky diffusions on star graphs: Characterization and Itô formula

In this paper, we investigate continuous diffusions on star graphs with sticky behavior at the vertex. These are Markov processes with continuous paths having a positive occupation time at the vertex. We characterize the sticky diffusions as time changed nonsticky diffusions by adapting the classical technique of Itô and McKean. We prove a form of Itô formula, also known as Freidlin-Sheu formula, for this type of process. As an intermediate step, we also obtain a stochastic differential equation satisfied by the radial component of the process. These results generalize those already known for sticky diffusions on a half-line and skew sticky diffusions on the real line.

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Publication Details

Journal
Stochastic Processes and their Applications
Published
2025-10-16
DOI
https://doi.org/10.1016/j.spa.2025.104795
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.00

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article

Sticky diffusions on star graphs: Characterization and Itô formula

Fausto Colantoni, Jules Berry
Stochastic Processes and their Applications
Stochastic processes and statistical mechanics
article

Sticky diffusions on star graphs: Characterization and Itô formula

Fausto Colantoni, Jules Berry
article en

Abstract

In this paper, we investigate continuous diffusions on star graphs with sticky behavior at the vertex. These are Markov processes with continuous paths having a positive occupation time at the vertex. We characterize the sticky diffusions as time changed nonsticky diffusions by adapting the classical technique of Itô and McKean. We prove a form of Itô formula, also known as Freidlin-Sheu formula, for this type of process. As an intermediate step, we also obtain a stochastic differential equation satisfied by the radial component of the process. These results generalize those already known for sticky diffusions on a half-line and skew sticky diffusions on the real line.

Stochastic Processes and their ApplicationsVol. 192
Centre National de la Recherche Scientifique (FR), Institut National des Sciences Appliquées de Rennes (FR), Institut de recherche mathématique de Rennes (FR), Université de Rennes (FR), Sapienza University of Rome (IT)
Centre Henri Lebesgue, Agence Nationale de la Recherche
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Openalex Percentile: Top 98%
Stochastic processes and statistical mechanics
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Sticky diffusions on star graphs: Characterization and Itô formula — Fausto Colantoni, Jules Berry · Stochastic Processes and their Applications (2025) | TGRS Research Map | TGRS