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Convergence rates of Tikhonov regularization for recovering growth rates in a Lotka-Volterra competition model with diffusion

  • * Corresponding author: Daijun Jiang

    * Corresponding author: Daijun Jiang

The first author is supported by National Natural Science Foundation of China (Nos. 11701205 and 11871240). The second author is supported by National Natural Science Foundation of China (No. 11871240) and self-determined research funds of CCNU from the colleges' basic research and operation of MOE (No. CCNU20TS003).

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  • In this paper, we shall study the convergence rates of Tikhonov regularizations for the recovery of the growth rates in a Lotka-Volterra competition model with diffusion. The ill-posed inverse problem is transformed into a nonlinear minimization system by an appropriately selected version of Tikhonov regularization. The existence of the minimizers to the minimization system is demonstrated. We shall propose a new variational source condition, which will be rigorously verified under a Hölder type stability estimate. We will also derive the reasonable convergence rates under the new variational source condition.

    Mathematics Subject Classification: Primary: 35R35, 41A25; Secondary: 65M32.

    Citation:

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