On the construction and analysis of some stochastic pseudo-first-order kinetic models

Abstract Time-inhomogeneous stochastic processes are constructed starting from the pseudo-first-order kinetic model by adopting two different approaches. For constant carrying capacity, the transition probability density functions and the related conditional moments are determined. The case in which the stochastic processes are restricted by a reflecting condition in the zero-state is also analyzed. Particular attention is paid to the first-passage time problem through a constant boundary for time-homogeneous processes and for time-inhomogeneous processes with proportional intensity functions. Various numerical computations and simulations are performed to compare the proposed models.

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Publication Details

Journal
Computational and Applied Mathematics
Published
2026-10-15
DOI
https://doi.org/10.1007/s40314-026-03931-x
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
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On the construction and analysis of some stochastic pseudo-first-order kinetic models

Virginia Giorno, A. G. Nobile
Computational and Applied Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

On the construction and analysis of some stochastic pseudo-first-order kinetic models

Virginia Giorno, A. G. Nobile
article en

Abstract

Abstract Time-inhomogeneous stochastic processes are constructed starting from the pseudo-first-order kinetic model by adopting two different approaches. For constant carrying capacity, the transition probability density functions and the related conditional moments are determined. The case in which the stochastic processes are restricted by a reflecting condition in the zero-state is also analyzed. Particular attention is paid to the first-passage time problem through a constant boundary for time-homogeneous processes and for time-inhomogeneous processes with proportional intensity functions. Various numerical computations and simulations are performed to compare the proposed models.

Computational and Applied MathematicsVol. 46(2)
University of Salerno (IT)
Istituto Nazionale di Alta Matematica "Francesco Severi", Università degli Studi di Salerno, Gruppo Nazionale per il Calcolo Scientifico
Openalex Percentile: Top 10%
Mathematical and Theoretical Epidemiology and Ecology Models
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