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Entropic Equilibria Selection of Station...

Harper, Marc...

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Entropic Equilibria Selection of Stationary Extrema in Finite Populations by Harper, Marc ( Author )

Content Provider	Lemonjar Open Access
Publisher	N.A
Publication Date	08-05-2015
Summary	We propose the entropy of random Markov trajectories originating and terminating at a state as a measure of the stability of a state of a Markov process. These entropies can be computed in terms of the entropy rates and stationary distributions of Markov processes. We apply this definition of stability to local maxima and minima of the stationary distribution of the Moran process with mutation and show that variations in population size, mutation rate, and strength of selection all affect the stability of the stationary extrema.
ISBN	-
Item Type	Article
File Type	pdf
File Size	36.88 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	https://arxiv.org/abs/1505.01914

Citation

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AMA 11th EditionReferences

Harper, Marc. Entropic Equilibria Selection of Stationary Extrema in Finite Populations. N.A. May 08, 2015. Accessed August 18, 2025. https://online.provdatabase.com/cite/18575

APA 7th EditionReferences

Harper, Marc. (2015). Entropic Equilibria Selection of Stationary Extrema in Finite Populations. N.A. https://online.provdatabase.com/cite/18575

Chicago 17th EditionReferences

Harper, Marc. Entropic Equilibria Selection of Stationary Extrema in Finite Populations. N.A. 2015. https://online.provdatabase.com/cite/18575

HarvardReferences

Harper, Marc. (2015). Entropic Equilibria Selection of Stationary Extrema in Finite Populations. [Online]. N.A. Available from: https://online.provdatabase.com/cite/18575. (Accessed 18 August 2025).

Harvard AustraliaReferences

Harper, Marc, 2015, Entropic Equilibria Selection of Stationary Extrema in Finite Populations, N.A, viewed 18 August 2025, <https://online.provdatabase.com/cite/18575>

MLA 9th EditionWorks Cited

Harper, Marc. Entropic Equilibria Selection of Stationary Extrema in Finite Populations. N.A, 2015. PROV Database, https://online.provdatabase.com/cite/18575.

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