2012
DOI: 10.1016/j.spa.2011.12.010
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On Lundh’s percolation diffusion

Abstract: A collection of spherical obstacles in the ball in Euclidean space is said to be avoidable for Brownian motion if there is a positive probability that Brownian motion diffusing from some point in the ball will avoid all the obstacles and reach the boundary of the ball. The centres of the spherical obstacles are generated according to a Poisson point process while the radius of an obstacle is a deterministic function depending only on the distance from the obstacle's centre to the centre of the ball. Lundh has … Show more

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Cited by 2 publications
(7 citation statements)
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“…The right-hand side inequality is proved exactly in the same way as in the proof of [9, Lemma 3]. To prove the left-hand side inequality we follow [9] and use the super-additivity property of capacity due to Aikawa and Borichev, [2,Theorem 3], which in our case reads as follows: For r ą 0 and a ą 0 the radius η a prq is chosen so that Cap a pBp0, rqq " |Bp0, η a prqq| " σ d η a prq d (σ d is the volume of the unit ball). By Lemma 2.7,…”
Section: Proof Of Theorem 51 Note Thatmentioning
confidence: 95%
See 3 more Smart Citations
“…The right-hand side inequality is proved exactly in the same way as in the proof of [9, Lemma 3]. To prove the left-hand side inequality we follow [9] and use the super-additivity property of capacity due to Aikawa and Borichev, [2,Theorem 3], which in our case reads as follows: For r ą 0 and a ą 0 the radius η a prq is chosen so that Cap a pBp0, rqq " |Bp0, η a prqq| " σ d η a prq d (σ d is the volume of the unit ball). By Lemma 2.7,…”
Section: Proof Of Theorem 51 Note Thatmentioning
confidence: 95%
“…Theorem 1.3 can be used to study avoidability of a collection of balls with random centers given by the Poisson point process. In case of Brownian motion this question was recently studied in [9]. By adopting their method we are able to extend the results to subordinate Brownian motions satisfying (1.4).…”
Section: Introductionmentioning
confidence: 95%
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“…This generalizes the notions used in [3,8,12,13,14] for U = B(0, 1); see also [6] for the case, where U is Ê d , d ≥ 3. Avoidable unions of randomly distributed balls have been discussed in [11] and, recently, in [5]. It will be convenient to introduce the set X A for a champagne subdomain U \ A: X A is the set of centers of all the bubbles forming A (and r x , x ∈ X A , is the radius of the bubble centered at x).…”
Section: Introduction and Main Resultsmentioning
confidence: 99%