Concentration in the Nonlocal Fisher Equation: the Hamilton-Jacobi Limit

The nonlocal Fisher equation has been proposed as a simple model exhibiting Turing instability and the interpretation refers to adaptive evolution. By analogy with other formalisms used in adaptive dynamics, it is expected that concentration phenomena (like convergence to a sum of Dirac masses) will happen in the limit of small mutations. In the present work we study this asymptotics by using a change of variables that leads to a constrained Hamilton-Jacobi equation. We prove the convergence analytically and illustrate it numerically. We also illustrate numerically how the constraint is related to the concentration points. We investigate numerically some features of these concentration points such as their weights and their numbers. We show analytically how the constrained Hamilton-Jacobi gives the so-called canonical equation relating their motion with the selection gradient. We illustrate this point numerically.