Version 1
: Received: 7 July 2022 / Approved: 8 July 2022 / Online: 8 July 2022 (10:13:41 CEST)
How to cite:
Guterres, R.; Niche, C.; Perusato, C.; Zingano, P. Upper and Lower Hm Estimates for Solutions to Dissipative Systems. Preprints2022, 2022070137. https://doi.org/10.20944/preprints202207.0137.v1
Guterres, R.; Niche, C.; Perusato, C.; Zingano, P. Upper and Lower Hm Estimates for Solutions to Dissipative Systems. Preprints 2022, 2022070137. https://doi.org/10.20944/preprints202207.0137.v1
Guterres, R.; Niche, C.; Perusato, C.; Zingano, P. Upper and Lower Hm Estimates for Solutions to Dissipative Systems. Preprints2022, 2022070137. https://doi.org/10.20944/preprints202207.0137.v1
APA Style
Guterres, R., Niche, C., Perusato, C., & Zingano, P. (2022). Upper and Lower H<sup>m</sup> Estimates for Solutions to Dissipative Systems. Preprints. https://doi.org/10.20944/preprints202207.0137.v1
Chicago/Turabian Style
Guterres, R., Cilon Perusato and Paulo Zingano. 2022 "Upper and Lower H<sup>m</sup> Estimates for Solutions to Dissipative Systems" Preprints. https://doi.org/10.20944/preprints202207.0137.v1
Abstract
In this work we introduce a novel approach to generate lower and upper L2 estimates for solution derivatives of arbitrary order to a general class of dissipative systems in the case that such estimates are available for the solutions themselves. Our method also works in reverse order: from the L2 estimates of solution derivatives of some (arbitrary) order we can derive lower and upper L2 estimates for the solutions and then to their derivatives of any order. This procedure is based on very simple monotonicity properties combined with standard energy estimates in physical space, following previous ideas of Kreiss, Hagstrom, Lorenz and Zingano. For simplicity, it is applied here in the context of algebraic rates, but the method can be used in other contexts as well (exponential, logarithm, and so forth).
Keywords
dissipative systems; upper and lower estimates; decay estimates; monotonicity method
Subject
Computer Science and Mathematics, Analysis
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.