Convergence to stationary distributions in two-species stochastic competition models
DOI10.1007/BF00290639zbMath0717.92025OpenAlexW1978925861WikidataQ44860405 ScholiaQ44860405MaRDI QIDQ2639005
Publication date: 1989
Published in: Journal of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf00290639
sufficient conditionsirreducibilitycoexistencestochastic boundednessstrong continuityinvasibilityrandomly varying environmentconvergence to stationary distributionsnonlinear stochastic difference equationscontinuous componentslottery model with vacant spacestochastic two- species Ricker modeltwo species competing
Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Applications of stochastic analysis (to PDEs, etc.) (60H30) Ecology (92D40)
Related Items (20)
Cites Work
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- Modes of convergence of Markov chain transition probabilities
- The stabilizing effect of a random environment
- Invasibility and stochastic boundedness in monotonic competition models
- An ergodic theorem for evolution in a random environment
- Does environmental variability limit niche overlap?
- Markov Chains with Continuous Components
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