EconPapers    
Economics at your fingertips  
 

Oblique Stochastic Boundary-Value Problem

Martin Grothaus () and Thomas Raskop
Additional contact information
Martin Grothaus: University of Kaiserslautern, Functional Analysis Group
Thomas Raskop: University of Kaiserslautern, Functional Analysis Group

A chapter in Handbook of Geomathematics, 2015, pp 2285-2315 from Springer

Abstract: Abstract The aim of this chapter is to report the current state of the analysis for weak solutions to oblique boundary problems for the Poisson equation. In this chapter, deterministic as well as stochastic inhomogeneities are treated and existence and uniqueness results for corresponding weak solutions are presented. We consider the problem for inner bounded and outer unbounded domains in ℝ n $$\mathbb{R}^{n}$$ . The main tools for the deterministic inner problem are a Poincaré inequality and some analysis for Sobolev spaces on submanifolds, in order to use the Lax-Milgram lemma. The Kelvin transformation enables us to translate the outer problem to a corresponding inner problem. Thus, we can define a solution operator by using the solution operator of the inner problem. The extension to stochastic inhomogeneities is done with the help of tensor product spaces of a probability space with the Sobolev spaces from the deterministic problems. We can prove a regularization result, which shows that the weak solution fulfills the classical formulation for smooth data. A Ritz-Galerkin approximation method for numerical computations is available. Finally, we show that the results are applicable to geomathematical problems.

Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-54551-1_35

Ordering information: This item can be ordered from
http://www.springer.com/9783642545511

DOI: 10.1007/978-3-642-54551-1_35

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-642-54551-1_35