The first-order exit-distribution conjecture for symmetric smart kinetic walks

From papers

Let DD be a simply connected domain containing the origin, and let δ\delta be the lattice spacing of the square lattice. Let μδ(0,dz;D)\mu_\delta(0,|dz|;D) be the discrete exit distribution of a smart kinetic walk with symmetric transition probability, defined using orthogonal projection of the first point outside DD onto D\partial D. Let μ(0,dz;D)\mu(0,|dz|;D) be harmonic measure, and let dz|dz| denote Lebesgue measure on the boundary with respect to arc length. First-order symmetric-SKW conjecture. There is a function ρD(z)\rho_D(z) on D\partial D depending only on DD and, for each such SKW, a constant cc depending only on the transition probability, such that

limδ0μδ(0,dz;D)μ(0,dz;D)δ=cρD(z)dz.\lim_{\delta\to 0}\frac{\mu_\delta(0,|dz|;D)-\mu(0,|dz|;D)}{\delta}=c\rho_D(z)|dz|.

The conjecture refines the reported numerical convergence of the symmetric SKW exit distribution to harmonic measure by predicting its first-order discrepancy. The simulations support the asserted domain-independence of ρD\rho_D and transition-probability dependence of cc, but the source provides no proof.

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Sources & referencesView supporting material

Primary source

Yan Dai, “The Exit Distribution for Smart Kinetic Walk with Symmetric and Asymmetric Transition Probability”, arXiv:1611.09779 (2017).

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