4.6 Article

Time-asymptotic convergence rates towards the discrete evolutionary stable distribution

Journal

MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
Volume 25, Issue 8, Pages 1589-1616

Publisher

WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218202515500426

Keywords

Selection dynamics; evolutionary stable distribution; relative entropy; convergence rates

Funding

  1. National Science Foundation [DMS1312636]
  2. NSF [RNMS (Ki-Net) 1107291, DMS 1312142, RNMS (Ki-Net) 1107444]
  3. China Scholarship Council
  4. Tsinghua University
  5. Iowa State University
  6. Direct For Mathematical & Physical Scien
  7. Division Of Mathematical Sciences [1312142] Funding Source: National Science Foundation
  8. Division Of Mathematical Sciences
  9. Direct For Mathematical & Physical Scien [1107291, 1312636] Funding Source: National Science Foundation

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This paper is concerned with the discrete dynamics of an integro-differential model that describes the evolution of a population structured with respect to a continuous trait. Various time-asymptotic convergence rates towards the discrete evolutionary stable distribution (ESD) are established. For some special ESD satisfying a strict sign condition, the exponential convergence rates are obtained for both semi-discrete and fully discrete schemes. Towards the general ESD, the algebraic convergence rate that we find is consistent with the known result for the continuous model.

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