Perfect t-Embeddings of Uniformly Weighted Generalized Tower Graphs

Fuente: arXiv
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Main Authors: Keating, David, Vu, Hieu Trung
Format: Preprint
Published: 2025
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author Keating, David
Vu, Hieu Trung
author_facet Keating, David
Vu, Hieu Trung
contents In this paper, we study sequences of perfect t-embeddings of a uniformly weighted family of graphs we call generalized tower graphs. We show that the embeddings of these graphs satisfy certain technical assumptions, in particular, the rigidity assumption of Berggren-Nicoletti-Russkikh. As a result, we confirm the convergence of the gradients of the height function fluctuations of these graphs to those of the Gaussian free field.
format Preprint
id arxiv_https___arxiv_org_abs_2509_18791
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Perfect t-Embeddings of Uniformly Weighted Generalized Tower Graphs
Keating, David
Vu, Hieu Trung
Mathematical Physics
Combinatorics
Probability
In this paper, we study sequences of perfect t-embeddings of a uniformly weighted family of graphs we call generalized tower graphs. We show that the embeddings of these graphs satisfy certain technical assumptions, in particular, the rigidity assumption of Berggren-Nicoletti-Russkikh. As a result, we confirm the convergence of the gradients of the height function fluctuations of these graphs to those of the Gaussian free field.
title Perfect t-Embeddings of Uniformly Weighted Generalized Tower Graphs
topic Mathematical Physics
Combinatorics
Probability
url https://arxiv.org/abs/2509.18791