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Asymptotic and Pseudo Almost Periodicity of the Convolution Operator and Applications to Differential and Integral Equations
Author(s) -
Dariusz Bugajewski,
Toka Diagana,
Crépin M. Mahop
Publication year - 2006
Publication title -
zeitschrift für analysis und ihre anwendungen
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.567
H-Index - 35
eISSN - 1661-4534
pISSN - 0232-2064
DOI - 10.4171/zaa/1292
Subject(s) - convolution (computer science) , mathematics , pseudo differential operator , operator (biology) , mathematical analysis , convolution power , hypoelliptic operator , convolution theorem , differential operator , differential equation , semi elliptic operator , fourier transform , computer science , fourier analysis , biochemistry , chemistry , repressor , machine learning , artificial neural network , transcription factor , fractional fourier transform , gene
We examine conditions which do ensure the asymptotic almost periodicity (respectively, pseudo almost periodicity) of the convolution function f ∗h of f with h whenever f is asymptotically almost periodic (respectively, pseudo almost periodic) and h is a (Lebesgue) measurable function satisfying some additional assumptions. Next we make extensive use of those results to investigate on the asymptotically almost periodic (respectively, pseudo almost periodic) solutions to some differential, functional, and integral equations.

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