2016
DOI: 10.1016/j.na.2015.09.007
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Uniqueness of diffusion on domains with rough boundaries

Abstract: Let Ω be a domain inWe assume that Γ is Ahlfors s-regular and if s, the Hausdorff dimension of Γ, is larger or equal to d − 1 we also assume a mild uniformity property for Ω in the neighbourhood of one z ∈ Γ. Then we establish that h is Markov unique, i.e. it has a unique Dirichlet form extension, if and only if δ ≥ 1 + (s − (d − 1)). The result applies to forms on Lipschitz domains or on a wide class of domains with Γ a self-similar fractal. In particular it applies to the interior or exterior of the von Koch… Show more

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Cited by 8 publications
(23 citation statements)
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“…In principle this method of proof could be extended to establish necessary conditions for the other cases Ω = R d \{0} and Ω = R d \Π covered by Theorem 3.1. In both these cases Markov uniqueness follows if δ ≥ 2 − (d − d H ) by Theorem 1.1 of [LR16]. Therefore it would appear possible to repeat the foregoing arguments with ν δ = d…”
Section: Self-adjointnessmentioning
confidence: 86%
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“…In principle this method of proof could be extended to establish necessary conditions for the other cases Ω = R d \{0} and Ω = R d \Π covered by Theorem 3.1. In both these cases Markov uniqueness follows if δ ≥ 2 − (d − d H ) by Theorem 1.1 of [LR16]. Therefore it would appear possible to repeat the foregoing arguments with ν δ = d…”
Section: Self-adjointnessmentioning
confidence: 86%
“…Fourthly, an alternative possible approach might be by capacity estimates. The earlier analysis of L 1 -uniqueness in [RS11] and [LR16] was based on capacity arguments with the capacity cap h defined in terms of the quadratic form h. The L 1 -analysis began with Theorems 1.2 and 1.3 of [RS11] which established that L 1 -uniqueness is equivalent both to Markov uniqueness and to the capacity condition cap h (Γ) = 0. A similar analysis of L 2 -uniqueness could then be based on the capacity cap H defined in terms of the operator H with the aim to prove that the uniqueness property is now equivalent to cap H (Γ) = 0.…”
Section: Discussionmentioning
confidence: 99%
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