1.

Record Nr.

UNINA9910300143903321

Autore

Burdzy Krzysztof

Titolo

Brownian Motion and its Applications to Mathematical Analysis [[electronic resource] ] : École d'Été de Probabilités de Saint-Flour XLIII – 2013 / / by Krzysztof Burdzy

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-04394-3

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (XII, 137 p. 16 illus., 4 illus. in color.)

Collana

École d'Été de Probabilités de Saint-Flour, , 0721-5363 ; ; 2106

Classificazione

MAT 606f

MAT 607f

SI 850

60J6560H3060G17

Disciplina

530.475

Soggetti

Probabilities

Partial differential equations

Potential theory (Mathematics)

Probability Theory and Stochastic Processes

Partial Differential Equations

Potential Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references (pages 133-137).

Nota di contenuto

1. Brownian motion -- 2. Probabilistic proofs of classical theorems -- 3. Overview of the "hot spots" problem -- 4. Neumann eigenfunctions and eigenvalues -- 5. Synchronous and mirror couplings -- 6. Parabolic boundary Harnack principle -- 7. Scaling coupling -- 8. Nodal lines -- 9. Neumann heat kernel monotonicity -- 10. Reflected Brownian motion in time dependent domains.

Sommario/riassunto

These lecture notes provide an introduction to the applications of Brownian motion to analysis and, more generally, connections between Brownian motion and analysis. Brownian motion is a well-suited model for a wide range of real random phenomena, from chaotic oscillations of microscopic objects, such as flower pollen in water, to stock market fluctuations. It is also a purely abstract mathematical tool which can be used to prove theorems in "deterministic" fields of mathematics. The



notes include a brief review of Brownian motion and a section on probabilistic proofs of classical theorems in analysis. The bulk of the notes are devoted to recent (post-1990) applications of stochastic analysis to Neumann eigenfunctions, Neumann heat kernel and the heat equation in time-dependent domains.