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On weighted partial triangulations of convex polygons

Abstract

We study the problem of sampling weighted partial triangulations of a convex polygon with n+2 sides. We consider the distribution πn,λ under which each partial triangulation σ is assigned probability proportional to λ|σ|, where λ>0 is a model parameter and |σ| ∈ {0,…,n−1} denotes the number of diagonals in σ. This model belongs to a broad class of weighted geometric partition problems that include lattice triangulations and dyadic tilings, and is closely related to several classical combinatorial structures, including the full triangulations of a convex polygon and the associated Catalan structures. Our main result is a simple exact sampling algorithm for πn,λ with expected running time O((min{n,n√λ}+1)log n), which is optimal up to the logarithmic factor.

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BibTeX
@misc{blanca2026weighted,
  title = {{On weighted partial triangulations of convex polygons}},
  author = {Antonio Blanca and Alexandre Stauffer and Izabella Stuhl},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2605.21921},
  eprint = {2605.21921},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.21921},
}
RIS
TY  - UNPB
TI  - On weighted partial triangulations of convex polygons
AU  - Antonio Blanca
AU  - Alexandre Stauffer
AU  - Izabella Stuhl
PY  - 2026
DA  - 2026/11/04
PB  - arXiv
DO  - 10.48550/arxiv.2605.21921
UR  - https://arxiv.org/abs/2605.21921
AB  - We study the problem of sampling weighted partial triangulations of a convex polygon with n+2 sides. We consider the distribution π_n,λ under which each partial triangulation σ is assigned probability proportional to λ^|σ|, where λ>0 is a model parameter and |σ| ∈ {0,…,n−1} denotes the number of diagonals in σ. This model belongs to a broad class of weighted geometric partition problems that include lattice triangulations and dyadic tilings, and is closely related to several classical combinatorial structures, including the full triangulations of a convex polygon and the associated Catalan structures. Our main result is a simple exact sampling algorithm for π_n,λ with expected running time O((min{n,n√λ}+1)log n), which is optimal up to the logarithmic factor.
ER  -