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We formulate a generalization of the volume conjecture for planar graphs. Denoting by <G, c> the Kauffman bracket of the graph G whose edges are decorated by real "colors" c, the conjecture states that, under suitable conditions, certain…

Geometric Topology · Mathematics 2014-03-11 Francesco Costantino , François Guéritaud , Roland van der Veen

We construct finitely generated simple algebras with prescribed growth types, which can be arbitrarily taken from a large variety of (super-polynomial) growth types. This (partially) answers a question raised by the author in a recent…

Rings and Algebras · Mathematics 2017-08-29 Be'eri Greenfeld

The similarity of the evolution of human languages (or alphabets, bird songs, >...) to biological evolution of species is utilized to study with up to $10^9$ people the rise and fall of languages either by macroscopic differential equations…

Physics and Society · Physics 2009-11-11 Dietrich Stauffer , Christian Schulze

In this paper we consider groups of the form $G\wr L$, where the set of generators naturally extends the sets of generators of $G$ and $L$, and $L$ admits a Cayley graph that is a tree. We show how one can compute the conjugacy growth…

Group Theory · Mathematics 2017-08-09 Valentin Mercier

Large language models suffer issues when operated on long contexts that are larger than their training context length due to the standard position encoding for tokens in the attention layer. Tokens a long distance apart will rarely have an…

Computation and Language · Computer Science 2025-05-26 Phat Thanh Dang , Saahil Thoppay , Wang Yang , Qifan Wang , Vipin Chaudhary , Xiaotian Han

Let $L$ be a degree $2$ Galois extension of the field $K$ and $M$ an $n\times n$ matrix with coefficients in $L$. Let $\langle \ ,\ \rangle : L^n\times L^n\to L$ be the sesquilinear form associated to the involution $\sigma: L\to L$ fixing…

Commutative Algebra · Mathematics 2016-11-21 E. Ballico

There is a growing trend of teaching large language models (LLMs) to solve mathematical problems through coding. Existing studies primarily focus on prompting powerful, closed-source models to generate seed training data followed by…

Computation and Language · Computer Science 2024-08-29 Dian Yu , Baolin Peng , Ye Tian , Linfeng Song , Haitao Mi , Dong Yu

Long-range correlation, a property of time series exhibiting long-term memory, is mainly studied in the statistical physics domain and has been reported to exist in natural language. Using a state-of-the-art method for such analysis,…

Computation and Language · Computer Science 2017-12-12 Kumiko Tanaka-Ishii

We study the growth of large scale structure in two recently proposed non-standard cosmological models: the brane induced gravity model of Dvali, Gabadadze and Porrati (DGP) and the Cardassian models of Freese and Lewis. A general formalism…

Astrophysics · Physics 2009-11-07 T. Multamaki , E. Gaztanaga , M. Manera

Recent advances in Large Language Models (LLMs) have demonstrated the emergence of capabilities (learned skills) when the number of system parameters and the size of training data surpass certain thresholds. The exact mechanisms behind such…

Computation and Language · Computer Science 2025-07-17 Kuo-Yu Liao , Cheng-Shang Chang , Y. -W. Peter Hong

Large language models (LLMs) have achieved remarkable progress in natural language generation, yet they continue to display puzzling behaviors -- such as repetition and incoherence -- even when exhibiting low perplexity. This highlights a…

Computation and Language · Computer Science 2025-10-27 Xin Du , Kumiko Tanaka-Ishii

Given a real semisimple connected Lie group $G$ and a discrete subgroup $\Gamma < G$ we prove a precise connection between growth rates of the group $\Gamma$, polyhedral bounds on the joint spectrum of the ring of invariant differential…

Representation Theory · Mathematics 2025-09-09 Christopher Lutsko , Tobias Weich , Lasse L. Wolf

The linear growth rate is commonly defined through a simple deterministic relation between the velocity divergence and the matter overdensity in the linear regime. We introduce a formalism that extends this to a nonlinear, stochastic…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-23 Elise Jennings , David Jennings

Recently, large language models (LLMs) have emerged as a groundbreaking technology and their unparalleled text generation capabilities have sparked interest in their application to the fundamental sentence representation learning task.…

Computation and Language · Computer Science 2024-05-20 Huiming Wang , Zhaodonghui Li , Liying Cheng , Soh De Wen , Lidong Bing

Let ${\sf G}$ be a locally compact group with polynomial growth of order $d$, a polynomial weight $\nu$ on ${\sf G}$ and a Fell bundle $\mathscr C\overset{q}{\to}{\sf G}$. We study the Banach $^*$-algebras $L^1({\sf G}\,\vert\,\mathscr C)$…

Functional Analysis · Mathematics 2025-03-17 Felipe I. Flores

Let G=SL_3(Z/pZ), p a prime. Let A be a set of generators of G. Then A grows under the group operation. To be precise: denote by |S| the number of elements of a finite set S. Assume |A| < |G|^{1-\epsilon} for some \epsilon>0. Then |A\cdot…

Group Theory · Mathematics 2009-06-08 H. A. Helfgott

Neural collapse ($\mathcal{NC}$) is a phenomenon observed in classification tasks where top-layer representations collapse into their class means, which become equinorm, equiangular and aligned with the classifiers. These behaviours --…

Machine Learning · Computer Science 2024-11-27 Robert Wu , Vardan Papyan

This is a survey of methods developed in the last few years to prove results on growth in non-commutative groups. These techniques have their roots in both additive combinatorics and group theory, as well as other fields. We discuss linear…

Group Theory · Mathematics 2015-02-12 H. A. Helfgott

We consider here the strong regularity for $3$-uniform hypergraphs developed by Frankl, Gowers, Kohayakawa, Nagle, R\"{o}dl, Skokan, and Schacht. This type of regular decomposition comes with two components, a partition of the vertices, and…

Combinatorics · Mathematics 2025-08-05 C. Terry

A key obstacle to developing a satisfying theory of galaxy evolution is the difficulty in extending analytic descriptions of early structure formation into full nonlinearity, the regime in which galaxy growth occurs. Extant techniques,…