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The Quasispecies Equation and Classical Population Models

Title
The Quasispecies Equation and Classical Population Models [electronic resource] / by Raphaël Cerf, Joseba Dalmau.
ISBN
9783031086632
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (X, 242 p.) 1 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This monograph studies a series of mathematical models of the evolution of a population under mutation and selection. Its starting point is the quasispecies equation, a general non-linear equation which describes the mutation-selection equilibrium in Manfred Eigen's famous quasispecies model. A detailed analysis of this equation is given under the assumptions of finite genotype space, sharp peak landscape, and class-dependent fitness landscapes. Different probabilistic representation formulae are derived for its solution, involving classical combinatorial quantities like Stirling and Euler numbers. It is shown how quasispecies and error threshold phenomena emerge in finite population models, and full mathematical proofs are provided in the case of the Wright-Fisher model. Along the way, exact formulas are obtained for the quasispecies distribution in the long chain regime, on the sharp peak landscape and on class-dependent fitness landscapes. Finally, several other classical population models are analyzed, with a focus on their dynamical behavior and their links to the quasispecies equation. This book will be of interest to mathematicians and theoretical ecologists/biologists working with finite population models.
Variant and related titles
Springer ENIN.
Other formats
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Printed edition:
Format
Books / Online
Language
English
Added to Catalog
August 09, 2022
Series
Probability Theory and Stochastic Modelling, 102
Probability Theory and Stochastic Modelling, 102
Contents
1. Introduction
Part I.Finite Genotype Space
2. The Quasispecies equation
3. Non-Overlapping Generations
4. Overlapping Generations
5. Probabilistic Representations
Part II. The Sharp Peak Landscape
6. Long Chain Regime
7. Error Threshold and Quasispecies
8. Probabilistic Derivation
9. Summation of the Series
10. Error Threshold in Infinite Populations
Part III. Error Threshold in Finite Populations
11.Phase Transition
12. Computer Simulations
13. Heuristics
14. Shape of the Critical Curve
15. Framework for the Proofs
Part IV. Proof for Wright-Fisher
16. Strategy of the Proof
17. The Non-Neutral Phase M
18. Mutation Dynamics
19. The Neutral Phase N
20. Synthesis
Part V. Class-Dependent Fitness Landscapes
21. Generalized Quasispecies Distributions
22. Error Threshold
23. Probabilistic Representation
24. Probabilistic Interpretations
25. Infinite Population Models
Part VI. A Glimpse at the Dynamics
26. Deterministic Level
27. From Finite to Infinite Population
28. Class-Dependent Landscapes
A. Markov Chains and Classical Results
References
Index.
Also listed under
Dalmau, Joseba. author.
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