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This study shows that typical pendulum dynamics is far from the simple equation of motion presented in textbooks. A reasonably complete damping model must use nonlinear terms in addition to the common linear viscous expression. In some…

Classical Physics · Physics 2007-05-23 Randall D. Peters

Transformer-based large language models (LLMs) have displayed remarkable creative prowess and emergence capabilities. Existing empirical studies have revealed a strong connection between these LLMs' impressive emergence abilities and their…

Machine Learning · Computer Science 2025-08-14 Dake Bu , Wei Huang , Andi Han , Atsushi Nitanda , Taiji Suzuki , Qingfu Zhang , Hau-San Wong

We discuss the numerous advantages of using dimensionless equations in non-relativistic quantum mechanics. Dimensionless equations are considerably simpler and reveal the number of relevant parameters in the models. They are less prone to…

Quantum Physics · Physics 2020-10-08 Francisco M. Fernández

In this paper, we offer a simple argument for the conclusion that the outputs of large language models (LLMs) are meaningless. Our argument is based on two key premises: (a) that certain kinds of intentions are needed in order for LLMs'…

Computation and Language · Computer Science 2025-09-29 Anandi Hattiangadi , Anders J. Schoubye

This technical report presents a general framework for parsing a variety of grammar formalisms. We develop a grammar formalism, called an Abstract Grammar, which is general enough to represent grammars at many levels of the hierarchy,…

Computation and Language · Computer Science 2018-01-22 Daniel Harasim , Chris Bruno , Eva Portelance , Martin Rohrmeier , Timothy J. O'Donnell

In this article we formulate and prove sufficient conditions for the existence of trajectories of nonstationary periodic solutions of autonomous Hamiltonian systems in a neighbourhood of equilibria. It is worth pointing out that assumptions…

Classical Analysis and ODEs · Mathematics 2024-06-21 A. Gołębiewska , S. Rybicki

We investigate the behavior of maps learned by machine translation methods. The maps translate words by projecting between word embedding spaces of different languages. We locally approximate these maps using linear maps, and find that they…

Computation and Language · Computer Science 2018-06-19 Ndapa Nakashole , Raphael Flauger

We present a new approach to formal language theory using Kolmogorov complexity. The main results presented here are an alternative for pumping lemma(s), a new characterization for regular languages, and a new method to separate…

Computational Complexity · Computer Science 2007-05-23 Ming Li , Paul Vitanyi

Versal deformation of a matrix A is a normal form to which all matrices A + E, close to A, can be reduced by similarity transformation smoothly depending on the entries of A + E. In this paper we discuss versal deformations and their use in…

Representation Theory · Mathematics 2023-12-25 Andrii Dmytryshyn

This paper presents an extension of the GLL parsing algorithm for context-free grammars which also supports parsing expression grammars with ordered choice and lookahead. The new PEGLL algorithm retains support for unordered choice, and…

Formal Languages and Automata Theory · Computer Science 2022-08-29 Aaron Moss , Brynn Harrington , Emily Hoppe

This paper reproves a general form of the Green-Lazarsfeld 'generic vanishing' theorem and more recent strengthenings, as well as giving some new applications.

Algebraic Geometry · Mathematics 2007-05-23 Herbert Clemens , Christopher Hacon

In weighted automata theory, many classical results on formal languages have been extended into a quantitative setting. Here, we investigate weighted context-free languages of infinite words, a generalization of $\omega$-context-free…

Formal Languages and Automata Theory · Computer Science 2022-06-24 Manfred Droste , Sven Dziadek , Werner Kuich

Multiple (simple) context-free tree grammars are investigated, where "simple" means "linear and nondeleting". Every multiple context-free tree grammar that is finitely ambiguous can be lexicalized; i.e., it can be transformed into an…

Formal Languages and Automata Theory · Computer Science 2017-07-13 Joost Engelfriet , Andreas Maletti , Sebastian Maneth

Nonterminal complexity of a context-free language is the smallest possible number of nonterminals in its generating grammar. While in general case nonterminal complexity computation problem is unsolvable, it can be computed for different…

Formal Languages and Automata Theory · Computer Science 2021-03-23 Dmitry Golubenko

Translations between different nonmonotonic formalisms always have been an important topic in the field, in particular to understand the knowledge-representation capabilities those formalisms offer. We provide such an investigation in terms…

Artificial Intelligence · Computer Science 2014-01-17 Wolfgang Dvorak , Stefan Woltran

This is an expository paper in which we explain how basic, standard, results about simple Lie algebras can be obtained by geometric arguments, following ideas of Cartan, Richardson and others.

Differential Geometry · Mathematics 2007-05-23 S. K. Donaldson

We provide a pipeline for generating syntax diagrams (also called railroad diagrams) from context free grammars. Syntax diagrams are a graphical representation of a context free language, which we formalize abstractly as a set of mutually…

Other Computer Science · Computer Science 2015-09-03 Michael J. Bannister , David A. Brown , David Eppstein

We provide an algorithm for deciding simple grammar bisimilarity whose complexity is polynomial in the valuation of the grammar (maximum seminorm among production rules). Since the valuation is at most exponential in the size of the…

Formal Languages and Automata Theory · Computer Science 2026-05-11 Diogo Poças , Gil Silva , Vasco T. Vasconcelos

In a paper published in Information Processing Letters in 2000, Bouajjani et al. presented an automata-based approach to a number of elementary problems on context-free grammars. This approach is of pedagogical interest since it provides a…

Formal Languages and Automata Theory · Computer Science 2024-10-28 Javier Esparza , Peter Rossmanith , Stefan Schwoon

Temporal expression (TE) normalization is a well-studied problem. However, the predominately used rule-based systems are highly restricted to specific settings, and upcoming machine learning approaches suffer from a lack of labeled data. In…

Computation and Language · Computer Science 2024-04-12 Akash Kumar Gautam , Lukas Lange , Jannik Strötgen