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Filling functions are asymptotic invariants of finitely presentable groups; the seminal work on the subject is by M.Gromov. They record features of combinatorial homotopy discs (van Kampen diagrams) filling loops in Cayley 2-complexes.…

Group Theory · Mathematics 2010-08-12 T. R. Riley

In the paper the foundation of the $k$-orbit theory is developed. The theory opens a new simple way to the investigation of groups and multidimensional symmetries. The relations between combinatorial symmetry properties of a $k$-orbit and…

General Mathematics · Mathematics 2007-05-23 Aleksandr Golubchik

We develop a theory of covering digraphs, similar to the theory of covering spaces. By applying this theory to Cayley digraphs, we build a "bridge" between GLMY-theory and group homology theory, which helps to reduce path homology…

Algebraic Topology · Mathematics 2024-04-02 Shaobo Di , Sergei O. Ivanov , Lev Mukoseev , Mengmeng Zhang

The Robinson-Schensted correspondence can be viewed as a map from permutations to partitions. In this work, we study the number of inversions of permutations corresponding to a fixed partition $\lambda$ under this map. Hohlweg characterized…

Combinatorics · Mathematics 2022-01-03 Arvind Ayyer , Naya Banerjee

This paper studies a version of the counting problem in dynamical systems that is of interest, especially in conformal dynamical systems where the functions of the systems are angle preserving. Recently, M. Pollicott and M. Urba\'{n}ski…

Dynamical Systems · Mathematics 2024-09-17 Hamid Naderiyan

Involution words are variations of reduced words for involutions in Coxeter groups, first studied under the name of "admissible sequences" by Richardson and Springer. They are maximal chains in Richardson and Springer's weak order on…

Combinatorics · Mathematics 2018-08-07 Zachary Hamaker , Eric Marberg , Brendan Pawlowski

The hull of a linear code is defined to be the intersection of the code and its dual. When the size of the hull is small, it has been proved that some algorithms for checking permutation equivalence of two linear codes and computing the…

Information Theory · Computer Science 2020-09-17 Yansheng Wu

We discuss here some computational aspects of the Combinatorial Nullstellensatz argument. Our main result shows that the order of magnitude of the symmetry group associated with permutations of the variables in algebraic constraints,…

Combinatorics · Mathematics 2014-02-28 Edinah K. Gnang

We study a general class of nonlinear iterative algorithms which includes power iteration, belief propagation and approximate message passing, and many forms of gradient descent. When the input is a random matrix with i.i.d. entries, we use…

Computational Complexity · Computer Science 2024-11-07 Chris Jones , Lucas Pesenti

We demonstrate the reparametrization invariance of perturbatively defined one-dimensional functional integrals up to the three-loop level for a path integral of a quantum-mechanical point particle in a box. We exhibit the origin of the…

High Energy Physics - Theory · Physics 2009-10-31 H. Kleinert , A. Chervyakov

Polynomial optimization encompasses a broad class of problems in which both the objective function and constraints are polynomial functions of the decision variables. In recent years, a substantial body of research has focused on…

Optimization and Control · Mathematics 2026-01-05 Haibin Chen , Hong Yan , Guanglu Zhou

We introduce a single-number metric, quantum volume, that can be measured using a concrete protocol on near-term quantum computers of modest size ($n\lesssim 50$), and measure it on several state-of-the-art transmon devices, finding values…

Quantum Physics · Physics 2019-10-14 Andrew W. Cross , Lev S. Bishop , Sarah Sheldon , Paul D. Nation , Jay M. Gambetta

In a recent paper, we defined twisted unitary $1$-groups and showed that they automatically induced error-detecting quantum codes. We also showed that twisted unitary $1$-groups correspond to irreducible products of characters thereby…

Quantum Physics · Physics 2024-04-09 Eric Kubischta , Ian Teixeira

For a unital ring $S$, an $S$-linear quasigroup is a unital $S$-module, with automorphisms $\rho$ and $\lambda$ giving a (nonassociative) multiplication $x\cdot y=x^\rho+y^\lambda$. If $S$ is the field of complex numbers, then ordinary…

Group Theory · Mathematics 2019-10-23 Jonathan D. H. Smith , Stefanie G. Wang

We consider renormalization groups of transformations composed of a Gaussian convolution and a field dilatation. As an example, we consider perturbations of a single component real Euclidean free field $\phi$ with covariance…

High Energy Physics - Theory · Physics 2010-02-03 Christian Wieczerkowski

For theories with multiple couplings we construct simple expressions for the four-dimensional (or, in general, integer-dimensional) renormalization constants assuming that all divergences are logarithmical. These expressions allow relating…

High Energy Physics - Theory · Physics 2025-12-17 Gleb Kovyrshin , Nikolai Meshcheriakov , Victoria Shatalova , Konstantin Stepanyantz

The main objective of this work is to study mathematical properties of computational paths. Originally proposed by de Queiroz \& Gabbay (1994) as `sequences of rewrites', computational paths can be seen as the grounds on which the…

Logic in Computer Science · Computer Science 2015-09-23 Arthur F. Ramos , Ruy J. G. B. de Queiroz , Anjolina de Oliveira

The asymmetry of a quantum state relative to a translational group is a central concept in many areas of quantum science and technology. An important and geometrically intuitive measure of translational asymmetry of a state is given by the…

Quantum Physics · Physics 2024-12-17 Agung Budiyono

We present an algebraic characterization of the complexity classes Logspace and NLogspace, using an algebra with a composition law based on unification. This new bridge between unification and complexity classes is inspired from proof…

Logic in Computer Science · Computer Science 2018-05-29 Clément Aubert , Marc Bagnol

In machine learning and neuroscience, certain computational structures and algorithms are known to yield disentangled representations without us understanding why, the most striking examples being perhaps convolutional neural networks and…

Machine Learning · Computer Science 2017-03-21 Gary Bécigneul
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