1.

Record Nr.

UNINA9910768473303321

Autore

Alicandro Roberto

Titolo

A Variational Theory of Convolution-Type Functionals / / Roberto Alicandro [and four others]

Pubbl/distr/stampa

Singapore : , : Springer, Springer Nature Singapore Pte Ltd., , [2023]

©2023

ISBN

9789819906857

9789819906840

Edizione

[First edition.]

Descrizione fisica

1 online resource (121 pages)

Collana

SpringerBriefs on PDEs and Data Science Series

Disciplina

515.78

Soggetti

Convolutions (Mathematics)

Variational principles

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Chapter 1. Introduction -- Chapter 2. Convolution-Type Energies -- Chapter 3. The Γ-limit of a Class of Reference Energies -- Chapter 4. Asymptotic Embedding and Compactness Results -- Chapter 5. A Compactness and Integral-Representation Result -- Chapter 6. Periodic Homogenization -- Chapter 7. A Generalization and Applications to Point Clouds -- Chapter 8. Stochastic Homogenization -- Chapter 9. Application to Convex Gradient Flows.

Sommario/riassunto

This book provides a general treatment of a class of functionals modelled on convolution energies with kernel having finite p-moments. A general asymptotic analysis of such non-local functionals is performed, via Gamma-convergence, in order to show that the limit may be a local functional representable as an integral. Energies of this form are encountered in many different contexts and the interest in building up a general theory is also motivated by the multiple interests in applications (e.g. peridynamics theory, population dynamics phenomena and data science). The results obtained are applied to periodic and stochastic homogenization, perforated domains, gradient flows, and point-clouds models. This book is mainly intended for mathematical analysts and applied mathematicians who are also interested in exploring further applications of the theory to pass from a



non-local to a local description, both in static problems and in dynamic problems. .