2010
DOI: 10.1016/j.nonrwa.2009.08.010
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On a class of operator equations arising in infinite dimensional replicator dynamics

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Cited by 6 publications
(9 citation statements)
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“…The abstract form of equation (5.2) does not actually allow us to obtain insight on the form of its solutions and thus a better understanding of the evolutionary dynamics of the corresponding game. In order to have a better overview of the evolutionary game, following the approach in [23,24], we restrict our attention to measures Q(t) which, for each t > 0, are absolutely continuous with respect to the Lebesgue measure, with probability density u(x, t). Then the replicator dynamics equation (5.2) can be reduced to the following integro-differential equation…”
Section: Appendix A: Modelling Backgroundmentioning
confidence: 99%
“…The abstract form of equation (5.2) does not actually allow us to obtain insight on the form of its solutions and thus a better understanding of the evolutionary dynamics of the corresponding game. In order to have a better overview of the evolutionary game, following the approach in [23,24], we restrict our attention to measures Q(t) which, for each t > 0, are absolutely continuous with respect to the Lebesgue measure, with probability density u(x, t). Then the replicator dynamics equation (5.2) can be reduced to the following integro-differential equation…”
Section: Appendix A: Modelling Backgroundmentioning
confidence: 99%
“…The analogue for a setting involving finitely many strategies goes back to the works of Taylor and Jonker [22] and Maynard Smith [17], and infinite-dimensional variants have been treated in [3] and [18]. Building on these, for steep payoff kernels of Gaussian type, in [10,11] the PDE (1.2) was introduced. For additional details concerning the modeling background, we refer to [9, Appendix A], [11], and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…Building on these, for steep payoff kernels of Gaussian type, in [10,11] the PDE (1.2) was introduced. For additional details concerning the modeling background, we refer to [9, Appendix A], [11], and the references therein.…”
mentioning
confidence: 99%
“…Problem (1) arises in the context of evolutionary game dynamics ( [15,4]), more precisely in the framework of replicator dynamics ( [22,19]), applied to an infinite dimensional continuous setting. For more information on the modelling, we refer to the appendix of [8] and to [10,11] and the references therein. In this setting, anyhow, Ω is a set of "strategies" and, in the manner of a probability density, u gives the relative frequency with which they are pursued in the population of "players" considered -and accordingly the case of highest interest from an applications viewpoint is that of Ω u 0 = 1.…”
Section: Introductionmentioning
confidence: 99%
“…Let us mention some results concerning explicit examples of solutions to (1) and solutions of a particular form: In [11] and [17], self-similar solutions to (1) were constructed in Ω = R and Ω = R n , respectively, and [16] investigates self-similar solutions in Ω = R for a related model, where the Laplacian is perturbed by a time-dependent term involving first derivatives as well. In [10,9], stationary solutions of (1) were studied; however, it remained open if those accurately capture the long-term behaviour of solutions to (1). A discussion of existence and qualitative properties of solutions to (1) for rather general initial data in bounded domains can be found in the previous work [8], where the existence of solutions to (1) has been shown as limit of solutions to the actually non-degenerate parabolic problems…”
Section: Introductionmentioning
confidence: 99%