# American Institute of Mathematical Sciences

February  2019, 24(2): 737-754. doi: 10.3934/dcdsb.2018205

## Dirac-concentrations in an integro-pde model from evolutionary game theory

 Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA

Received  August 2017 Revised  February 2018 Published  June 2018

Fund Project: The first author is supported by NSF grant DMS-1411476.

Nonlocal Lotka-Volterra models have the property that solutions concentrate as Dirac masses in the limit of small diffusion. Motivated by the existence of moving Dirac-concentrations in the time-dependent problem, we study the qualitative properties of steady states in the limit of small diffusion. Under different conditions on the growth rate and interaction kernel as motivated by the framework of adaptive dynamics, we will show that as the diffusion rate tends to zero the steady state concentrates (ⅰ) at a single location; (ⅱ) at two locations simultaneously; or (ⅲ) at one of two alternative locations. The third result in particular shows that solutions need not be unique. This marks an important difference of the non-local equation with its local counterpart.

Citation: King-Yeung Lam. Dirac-concentrations in an integro-pde model from evolutionary game theory. Discrete & Continuous Dynamical Systems - B, 2019, 24 (2) : 737-754. doi: 10.3934/dcdsb.2018205
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The left, center and right panels illustrate the sign of $\frac{K(x,y)}{r(x)} - \frac{K(y,y)}{r(y)}$ as a function of $x$ and $y$, under the assumptions of Theorems 1, 2 and 3 respectively. Here $x$ and $y$ are the strategy of the invader and resident species respectively. $\frac{K(x,y)}{r(x)} - \frac{K(y,y)}{r(y)} < 0$ (resp. $>0$) means invasion of resident with strategy ''$y$" by invader with strategy ''$x$" is a success (resp. failure)
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