Brosamler's formula revisited and extensions
- 1. Simion Stoilow Institute of Mathematics of the Romanian Academy (Romania)
- 2. Transilvania University of Braşov, Department of Mathematics and Computer Science (Romania)
- 3. Kennesaw State University, Department of Mathematics (United States)
Description
Brosamler's formula gives a probabilistic representation of the solution of the Neumann problem for the Laplacian on a smooth bounded domain in terms of the reflecting Brownian motion in D. The original proof, as well as other proofs in the literature (e.g., in the case of Lipschitz domains), are based on potential theory (transition densities of the reflecting Brownian motion). We give new proofs of Brosamler's formula using (path trajectories of) stochastic processes. More precisely, we use a connection between the Dirichlet and the Neumann boundary problems, and the explicit description of the reflecting Brownian motion and its boundary local time in terms of the free Brownian motion. The results are obtained in the case of the Euclidean unit ball in any dimension and in the case of smooth planar simply connected domains, for continuous boundary data, and then extended to the case of bounded measurable data, respectively integrable boundary data. A new Brosamler-type formula in terms of the free Brownian motion is also given.
Additional details
Identifiers
Publishing Information
- Journal Title
- Analysis and Mathematical Physics (Online)
- Journal Volume
- 9
- Journal Issue
- 2
- Journal Page Range
- p. 747-760
- ISSN
- 1664-235X
Conference
- Title
- International conference on complex analysis, potential theory and applications
- Dates
- 11-15 Jun 2018
- Place
- Dublin (Ireland)
INIS
- Country of Publication
- Switzerland
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54072258
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- BROWNIAN MOVEMENT; DIRICHLET PROBLEM; EUCLIDEAN SPACE; LAPLACIAN; PROBABILISTIC ESTIMATION; STOCHASTIC PROCESSES
- Descriptors DEC
- BOUNDARY-VALUE PROBLEMS; CALCULATION METHODS; MATHEMATICAL OPERATORS; MATHEMATICAL SPACE; RIEMANN SPACE; SPACE
Optional Information
- Copyright
- Copyright (c) 2019 Springer Nature Switzerland AG