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Nonlocal Dynamics for Non-Gaussian Systems Arising in Biophysical Modeling
- Source :
- Communications on Applied Mathematics and Computation. 2:201-213
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- The aim of this article is to review our recent work on nonlocal dynamics of non-Gaussian systems arising in a gene regulatory network. We have used the mean exit time, escape probability and maximal likely trajectory to quantify dynamical behaviors of a stochastic differential system with non-Gaussian $$\alpha$$-stable Levy motions, to examine how the non-Gaussianity index and noise intensity affect the gene transcription processes.
- Subjects :
- Physics
Work (thermodynamics)
Quantitative Biology::Molecular Networks
Gaussian
Dynamics (mechanics)
Noise intensity
Stochastic differential system
Quantitative Biology::Genomics
symbols.namesake
Trajectory
symbols
General Earth and Planetary Sciences
Computational Science and Engineering
Statistical physics
General Environmental Science
Subjects
Details
- ISSN :
- 26618893 and 20966385
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Communications on Applied Mathematics and Computation
- Accession number :
- edsair.doi...........d16d3d1de72493c2ea821e60eb5760d8