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.