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PreprintCC BY 4.0arXiv

Unimodality of Independence Polynomials for Sufficiently Large Forests

Abstract

We prove that the independence sequence of every sufficiently large forest is unimodal. The result follows from establishing log-concavity on a central interval of the sequence, along with monotonicity of the initial and final segments. The main analytic step is a central limit theorem for the size of a random independent set sampled with the hard-core model, uniform over all forests and over an interval of positive fugacities.

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BibTeX
@misc{fang2026unimodality,
  title = {{Unimodality of Independence Polynomials for Sufficiently Large Forests}},
  author = {Ethan X. Fang and Junwei Lu and Eran Nevo and Yuan Yao and Hailun Zheng},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.20961},
  eprint = {2609.20961},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.20961},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Unimodality of Independence Polynomials for Sufficiently Large Forests
AU  - Ethan X. Fang
AU  - Junwei Lu
AU  - Eran Nevo
AU  - Yuan Yao
AU  - Hailun Zheng
PY  - 2026
DA  - 2026/09/17
PB  - arXiv
DO  - 10.48550/arxiv.2609.20961
UR  - https://arxiv.org/abs/2609.20961
AB  - We prove that the independence sequence of every sufficiently large forest is unimodal. The result follows from establishing log-concavity on a central interval of the sequence, along with monotonicity of the initial and final segments. The main analytic step is a central limit theorem for the size of a random independent set sampled with the hard-core model, uniform over all forests and over an interval of positive fugacities.
ER  -