2020
DOI: 10.1002/mana.201900061
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A probabilistic approach to a non‐local quadratic form and its connection to the Neumann boundary condition problem

Abstract: In this paper we look at a probabilistic approach to a non‐local quadratic form that has lately attracted some interest. This form is related to a recently introduced non‐local normal derivative. The goal is to construct two Markov processes: one corresponding to that form and the other which is related to a probabilistic interpretation of the Neumann problem. We also study the Dirichlet‐to‐Neumann operator for non‐local operators.

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Cited by 12 publications
(12 citation statements)
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“…The Neumann problem (1.1) was first introduced in [18,20], and has been subsequently studied in several papers; see for example [1,3,14,30,39]. As explained in detail in [18], (1.1) is a natural Neumann problem for the fractional Laplacian, for several reasons:…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The Neumann problem (1.1) was first introduced in [18,20], and has been subsequently studied in several papers; see for example [1,3,14,30,39]. As explained in detail in [18], (1.1) is a natural Neumann problem for the fractional Laplacian, for several reasons:…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…• The problem has a natural probabilistic interpretation, heuristically described in [18], and rigorously studied in [39].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Concluding the Introduction, we like to mention various approaches in literature to define reflection from D c for jump processes and nonlocal operators, because their geometric setting, namely, the essential use of both X(t − ) and X(t), inspired our study of the shot-down processes. Here we refer the reader to [3], [18], [30] and [11]. In particular, the Introduction of [11] gives a general perspective on reflections, Neumann conditions and concatenation of Markov processes.…”
Section: Introductionmentioning
confidence: 99%
“…Here X is the Markov process associated with (E , F ). This new approach leads to a rich family of DN operators containing those for self-adjoint operators appearing in the literatures like [8,[35][36][37]. Particularly, the classical DN operator D can be recovered as follows: Consider (E , F ) = ( 1 2 D, H 1 (Ω)) on L 2 ( Ω), where Ω is the closure of Ω and…”
Section: Introductionmentioning
confidence: 99%