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arxiv: 1204.1635 · v1 · pith:DR6ADQVYnew · submitted 2012-04-07 · 🧮 math.CV

A new class of harmonic measure distribution functions

classification 🧮 math.CV
keywords functiondomainsharmonicmeasureconnecteddistributiondomainbounded
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Let D be a planar domain containing 0. Let h_D(r) be the harmonic measure at 0 in D of the part of the boundary of D within distance r of 0. The resulting function h_D is called the harmonic measure distribution function of D. In this paper we address the inverse problem by establishing several sets of sufficient conditions on a function f for f to arise as a harmonic measure distribution function. In particular, earlier work of Snipes and Ward shows that for each function f that increases from zero to one, there is a sequence of multiply connected domains X_n such that h_{X_n} converges to f pointwise almost everywhere. We show that if f satisfies our sufficient conditions, then f = h_D, where D is a subsequential limit of bounded simply connected domains that approximate the domains X_n. Further, the limit domain is unique in a class of suitably symmetric domains. Thus f = h_D for a unique symmetric bounded simply connected domain D.

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