A note on the derivation of filter regularization operators for nonlinear evolution equations

Abstract

Despite the strong focus of regularization on ill-posed problems, the general construction of such methods has not been fully explored. Moreover, many previous studies cannot be clearly adapted to handle more complex scenarios, albeit the greatly increasing concerns on the improvement of wider classes. In this note, we rigorously study a general theory for filter regularized operators in a Hilbert space for nonlinear evolution equations which have occurred naturally in different areas of science. The starting point lies in problems that are in principle ill-posed with respect to the initial/final data – these basically include the Cauchy problem for nonlinear elliptic equations and the backward-in-time nonlinear parabolic equations. We derive general filters that can be used to stabilize those problems. Essentially, we establish the corresponding well-posed problem whose solution converges to the solution of the ill-posed problem. The approximation can be confirmed by the error estimates in the Hilbert space. This work improves very much many papers in the same field of research.

Keywords:

• Inverse problems
• Ill-posed problems
• mild solution
• filter regularization
• well-posedness
• error estimate

AMS Subject Classifications:

• 47A52
• 47J06
• 65N20
• 65N21
• 46E20

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Vietnam National University Ho Chi Minh City (VNU-HCM) [grant number B2017-18-03].