Paper detail

Stochastic Komatu-Loewner evolutions and BMD domain constant

Let $D={\mathbb H} \setminus \cup_{k=1}^N C_k$ be a standard slit domain, where ${\mathbb H}$ is the upper half plane and $C_k$, $1\leq k\leq N$, are mutually disjoint horizontal line segments in $H$. Given a Jordan arc $γ\subset D$ starting at $\partial H$, let $g_t$ be the unique conformal map from $D\setminusγ[0,t]$ onto a standard slit domain $D_t={\mathbb H} \setminus \cup_{k=1}^N C_k(t)$ satisfying the hydrodynamic normalization at infinity. It has been established recently that $g_t$ satisfies an ODE called a Komatu-Loewner equation in terms of the complex Poisson kernel of the Brownian motion with darning (BMD) for $D_t$. We randomize the Jordan arc $γ$ according to a system of probability measures on the family of equivalence classes of Jordan arcs that enjoy a domain Markov property and a certain conformal invariance property. We show that the induced process $(ξ(t), {\bf s}(t))$ satisfies a Markov type stochastic differential equation, where $ξ(t)$ is a motion on $\partial {\mathbb H}$ and ${\bf} s(t)$ represents the motion of the endpoints of the slits $\{C_k(t),\; 1\le k\le N \}.$ Conversely, given such functions $α$ and $b$ with local Lipschitz continuity, the corresponding SDE admits a unique solution $(ξ(t), {\bf s}(t))$. The latter produces random conformal maps $g_t(z)$ via the Komatu-Loewner equation. The resulting family of random growing hulls $\{F_t\}$ from the conformal mappings is called ${\rm SKLE}_{α,b}.$ We show that it enjoys a certain scaling property and a domain Markov property. Among other things, we further prove that ${\rm SKLE}_{α,-b_{\rm BMD}}$ for a constant $α>0$ has a locality property if and only if $α= \sqrt{6}$, where $b_{\rm BMD}$ is a BMD-domain constant that describes the discrepancy of a standard slit domain from ${\mathbb H}$ relative to BMD.

preprint2016arXivOpen access

Signal facts

What is known right now

Open access2 authors1 topic

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.