Download Information Geometry and Population Genetics: The by Julian Hofrichter, Jürgen Jost, Tat Dat Tran PDF

By Julian Hofrichter, Jürgen Jost, Tat Dat Tran

The current monograph develops a flexible and profound mathematical point of view of the Wright--Fisher version of inhabitants genetics. This famous and intensively studied version includes a wealthy and gorgeous mathematical constitution, that is exposed the following in a scientific demeanour. as well as ways via research, combinatorics and PDE, a geometrical viewpoint is introduced in via Amari's and Chentsov's info geometry. this idea permits us to calculate many amounts of curiosity systematically; likewise, the hired worldwide point of view elucidates the stratification of the version in an unparalleled demeanour. moreover, the hyperlinks to statistical mechanics and big deviation idea are explored and constructed into robust instruments. Altogether, the manuscript presents a superior and vast operating foundation for graduate scholars and researchers drawn to this field.

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Extra resources for Information Geometry and Population Genetics: The Mathematical Structure of the Wright-Fisher Model

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Such a manifold can be locally described by coordinates taking their values in Rn . x1 ; : : : ; xn /. Properties like smoothness can then be checked in local coordinates. In particular, all objects considered in the sequel will be assumed to be smooth. The tensor calculus works in such local coordinates and employs indices that run from 1 to n, the dimension of our manifold. Since the coordinates are arbitrary, geometric quantities should not depend on the choice of coordinates. Therefore, tensor calculus incorporates certain rules for switching between different coordinate systems.

Besides selection and mutation, there is another important ingredient in models of population genetics, recombination. That will be treated in Chap. 5. 6 The Case of Two Alleles Before embarking upon the mathematical treatment of the general Wright–Fisher model in subsequent chapters, it might be useful to briefly discuss the case where we only have two alleles, A0 and A1 . This is the simplest nontrivial case, and the mathematical structure is perhaps more transparent than in the general case.

Ym P. m/jY0 D Á/ ! Y jY0 D Á/ for m ! 1). This means that the expected number of alleles Aj at is equal to Áj , and Áj . Thus, the probability for finding allele Aj at therefore their relative frequency is 2N the fixation time is Áj . k C 1/ Alleles (Coexistence) Thus, when we start our population with nC1 alleles, eventually only one allele will survive, as all but one alleles will successively die out. Therefore, we would like to know, at an arbitrary generation, how many alleles are present.

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