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Main Authors: C., Tejaswi K., Lee, Taeyoung
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.06708
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author C., Tejaswi K.
Lee, Taeyoung
author_facet C., Tejaswi K.
Lee, Taeyoung
contents This paper studies probability density evolution for stochastic hybrid systems with reset maps that change the dimension of the continuous state across modes. Existing Frobenius--Perron formulations typically represent reset-induced probability transfer through boundary conditions, which is insufficient when resets map guard sets into the interior or onto lower-dimensional subsets of another mode. We develop a weak-form formulation in which reset-induced transfer is represented by the pushforward of probability flux across the guard, yielding a unified description for such systems. The proposed framework naturally captures both cases: when the reset decreases dimension, the transferred probability appears as an interior source density, whereas when the reset increases dimension, it generally appears as a singular source supported on a lower-dimensional subset. The approach is illustrated using a stochastic hybrid model in which two particles merge into one and later split back into two, demonstrating how dimension-changing resets lead to source terms beyond classical boundary-condition-based formulations.
format Preprint
id arxiv_https___arxiv_org_abs_2604_06708
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Uncertainty Propagation in Stochastic Hybrid Systems with Dimension-Varying Resets
C., Tejaswi K.
Lee, Taeyoung
Optimization and Control
Systems and Control
This paper studies probability density evolution for stochastic hybrid systems with reset maps that change the dimension of the continuous state across modes. Existing Frobenius--Perron formulations typically represent reset-induced probability transfer through boundary conditions, which is insufficient when resets map guard sets into the interior or onto lower-dimensional subsets of another mode. We develop a weak-form formulation in which reset-induced transfer is represented by the pushforward of probability flux across the guard, yielding a unified description for such systems. The proposed framework naturally captures both cases: when the reset decreases dimension, the transferred probability appears as an interior source density, whereas when the reset increases dimension, it generally appears as a singular source supported on a lower-dimensional subset. The approach is illustrated using a stochastic hybrid model in which two particles merge into one and later split back into two, demonstrating how dimension-changing resets lead to source terms beyond classical boundary-condition-based formulations.
title Uncertainty Propagation in Stochastic Hybrid Systems with Dimension-Varying Resets
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2604.06708