Journal of Mathematics in Industry (Jun 2019)

An exact viscosity solution to a Hamilton–Jacobi–Bellman quasi-variational inequality for animal population management

  • Yuta Yaegashi,
  • Hidekazu Yoshioka,
  • Kentaro Tsugihashi,
  • Masayuki Fujihara

DOI
https://doi.org/10.1186/s13362-019-0062-y
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 26

Abstract

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Abstract We formulate a stochastic impulse control model for animal population management and a candidate of exact solutions to a Hamilton–Jacobi–Bellman quasi-variational inequality. This model has a qualitatively different functional form of the performance index from the existing monotone ones. So far, optimality and unique solvability of the Hamilton–Jacobi–Bellman quasi-variational inequality has not been investigated, which are thus addressed in this paper. We present a candidate of exact solutions to the Hamilton–Jacobi–Bellman quasi-variational inequality and prove its optimality and unique solvability within a certain class of solutions in a viscosity sense. We also present and examine a dynamical system-based numerical method for computing coefficients in the exact solutions.

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