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zbMATH Open
Article . 2010
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SIAM Journal on Control and Optimization
Article . 2010 . Peer-reviewed
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Article . 2020
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Stability of Regime-Switching Jump Diffusions

Stability of regime-switching jump diffusions
Authors: Gang George Yin; Fubao Xi;

Stability of Regime-Switching Jump Diffusions

Abstract

Summary: This work is concerned with the stability of a class of switching jump-diffusion processes. The processes under consideration can be thought of as a number of jump-diffusion processes modulated by a random switching device. The motivation of our study stems from a wide range of applications in communication systems, flexible manufacturing and production planning, financial engineering, and economics. A distinct feature of the two-component process \((X(t),\alpha(t))\) considered in this paper is that the switching process \(\alpha(t)\) depends on the \(X(t)\) process. This paper focuses on the long-time behavior, namely, stability of the switching jump diffusions. First, the definitions of regularity and stability are recalled. Next it is shown that under suitable conditions, the underlying systems are regular or have no finite explosion time. To study stability of the trivial solution (or the equilibrium point 0), systems that are linearizable (in the \(x\) variable) in a neighborhood of 0 are considered. Sufficient conditions for stability and instability are obtained. Then, almost sure stability is examined by treating a Lyapunov exponent. The stability conditions present a gap for stability and instability owing to the maximum and minimal eigenvalues associated with the drift and diffusion coefficients. To close the gap, a transformation technique is used to obtain a necessary and sufficient condition for stability.

Related Organizations
Keywords

random switching, Stochastic stability in control theory, stability almost surely, stability in probability, jump diffusion, Diffusion processes, Lyapunov exponent, Continuous-time Markov processes on discrete state spaces

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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!
98
Top 1%
Top 10%
Top 10%
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