How many T-tessellations on $k$ lines? Existence of associated Gibbs measures on bounded convex domains
Jonas Kahn

TL;DR
This paper establishes bounds on the number of T-tessellations on a fixed set of lines, introduces algorithms for their efficient encoding, and proves the existence of a corresponding random Gibbsian measure.
Contribution
It provides the first combinatorial bounds and algorithms for T-tessellations on fixed lines, and demonstrates the existence of associated Gibbs measures on convex domains.
Findings
Bound on the number of T-tessellations is sharp.
Algorithms efficiently encode and retrieve tessellations.
Existence of a Gibbsian measure for T-tessellations is proven.
Abstract
The paper bounds the number of tessellations with T-shaped vertices on a fixed set of lines: tessellations are efficiently encoded, and algorithms retrieve them, proving injectivity. This yields existence of a completely random T-tessellation, as defined by Ki\^en Ki\^eu et al., and of its Gibbsian modifications. The combinatorial bound is sharp, but likely pessimistic in typical cases.
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Taxonomy
TopicsPoint processes and geometric inequalities · Geochemistry and Geologic Mapping · Pharmacological Effects of Medicinal Plants
