L-CNNs maintain gauge symmetry on non-Abelian lattice theories.
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L-CNNs preserve gauge symmetry in lattice simulations.
L-CNNs preserve gauge symmetry in neural networks.
Deligne and Mostow constructed a class of lattices in PU(2,1) using monodromy of hypergeometric functions. Later, Thurston reinterpreted them in terms of cone metrics on the sphere. In this spirit we construct a fundamental domain for all lattices with three fold symmetry in Deligne-Mostow list. This is a generalisatio…
Equivariant neural networks improve performance and generalization in lattice field theory tasks.
In this work we will build a fundamental domain for Deligne-Mostow lattices in PU(2,1) with 2-fold symmetry, which complete the whole list of Deligne-Mostow lattices in dimension 2. These lattices were introduced by Deligne and Mostow using monodromy of hypergeometric functions and have been reinterpreted by Thurston a…
LatFormer improves geometric reasoning by incorporating lattice symmetry priors in attention mechanisms.
It is proved that each lattice with complex multiplication by corresponds to a pseudo-lattice with real multiplication by , where is an integer defined by .
Complete classification of Deligne-Mostow lattice representations into PGL(3,C).
The study finds the bounds of vertex orbits in maps derived from specific lattices.
Mathematical proof of index equality for lattice Dirac operators and continuum operators.
Let P and Q be convex polyhedra in E3 with face lattices F(P) and F(Q) and symmetry groups G(P) and G(Q), respectively. Then, P and Q are called face equivalent if there is a lattice isomorphism between F(P) and F(Q); P and Q are called symmetry equivalent if the action of G(P) on F(P) is equivalent to the action of G(…
Let $G=\C^{n}\ltimes_φ \C^{m}$ with a semi-simple action $φ: \C^{n}\to GL_{m}(\C)$ (not necessarily holomorphic). Suppose has a lattice . Then we show that in some conditions on and , admits a Hermitian metric such that the space of harmonic forms satisfies the Hodge symmetry and decomposition. By t…
Posing Kepler's problem of motion around a fixed "sun" requires the geometric mechanician to choose a metric and a Laplacian. The metric provides the kinetic energy. The fundamental solution to the Laplacian (with delta source at the "sun") provides the potential energy. Posing Kepler's three laws (with input from Gali…
Translationally equivariant neural networks improve performance and generalization in physics problems.
Discrete knot theory models use lattice-filtered graphs to detect merging knot components.
Data analysis and data mining are concerned with unsupervised pattern finding and structure determination in data sets. "Structure" can be understood as symmetry and a range of symmetries are expressed by hierarchy. Such symmetries directly point to invariants, that pinpoint intrinsic properties of the data and of the …
Develops a new sampling method for gauge theories.
Smooth and symplectic symmetries of an infinite family of distinct exotic surfaces are studied, and comparison with the corresponding symmetries of the standard is made. The action on the lattice induced by a smooth finite group action is shown to be strongly restricted, and as a result, nonsmoothability…
Let be a higher-rank semisimple Lie group over a nonarchimedean local field, for example . To any lattice in there is an associated simplicial complex , given by the quotient by of the Bruhat-Tits building associated to . In this paper prove that the simplicial structure $B_L…
A discrete analog of the Tzitzeica equation is found in the form of quad-equation. Its continuous symmetry is an inhomogeneous Narita--Bogoyavlensky type lattice equation which defines a discretization of the Sawada--Kotera equation. The integrability of these discretizations is proven by construction of the Lax repres…
SymPE breaks symmetries in equivariant networks, improving performance across various tasks.
A microscopic approach to macroeconomic features is intended. A model for macroeconomic behavior under heterogeneous spatial economic conditions is reviewed. A birth-death lattice gas model taking into account the influence of an economic environment on the fitness and concentration evolution of economic entities is nu…
Equivariant neural networks improve performance and generalization in complex scalar field theory tasks.
It is known that every ribbon category with unimodality allows symmetrized -symbols with full tetrahedral symmetries while a spherical category does not in general. We give an explicit counterexample for this, namely the category . We define the mirror conjugate symmetry of -symbols instead and sho…
Bayesian framework detects symmetries in chaotic dynamical systems.
Spin networks boost quantum algorithms solving SU(2) symmetric problems.
We extend our studies of a quantum field model defined on a lattice having the dilation group as a local gauge symmetry. The model is relevant in the cross-disciplinary area of econophysics. A corresponding proposal by Ilinski aimed at gauge modeling in non-equilibrium pricing is realized as a numerical simulation of t…
We describe discrete symmetries of two-dimensional Yang-Mills theory with gauge group associated to outer automorphisms of , and their corresponding defects. We show that the gauge theory partition function with defects can be computed as a path integral over the space of twisted -bundles, and calculate it ex…
The purpose of this article is to classify the real hypersurfaces in complex space forms of dimension 2 that are both Levi-flat and minimal. The main results are as follows: When the curvature of the complex space form is nonzero, there is a 1-parameter family of such hypersurfaces. Specifically, for each one-parameter…
New PL invariant classifies K3 surface degenerations.
We explore 4d Yang-Mills gauge theories (YM) living as boundary conditions of 5d gapped short/long-range entangled (SRE/LRE) topological states. Specifically, we explore 4d time-reversal symmetric pure YM of an SU(2) gauge group with a second-Chern-class topological term at (SU(2) YM), by turning on backg…
The effectiveness of Convolutional Neural Networks stems in large part from their ability to exploit the translation invariance that is inherent in many learning problems. Recently, it was shown that CNNs can exploit other invariances, such as rotation invariance, by using group convolutions instead of planar convoluti…
New property identifies arithmetic lattices from nonuniform lattices.
Abstraction plays a key role in concept learning and knowledge discovery; this paper is concerned with computational abstraction. In particular, we study the nature of abstraction through a group-theoretic approach, formalizing it as symmetry-driven---as opposed to data-driven---hierarchical clustering. Thus, the resul…
Unconstrained MLIPs outperform constrained ones in accuracy and speed.
Research finds bounds for knots in hexagonal lattice and classifies 11-stick knots.
We outline the theory of sets with distributive operations: multishelves and multispindles, with examples provided by semi-lattices, lattices and skew lattices. For every such a structure we define multi-term distributive homology and show some of its properties. The main result is a complete formula for the homology o…
Course on arithmetic lattices at EPFL.
We give a simple example showing that a knot or link diagram that lies in the lattice is not necessarily the projection of a lattice stick knot or link in the lattice, and we give a necessary and sufficient condition for when a knot or link diagram that lies in the lat…
We solved the Schr{ö}dinger equation for a particle in a uniform magnetic field in the n-dimensional torus. We obtained a complete set of solutions for a broad class of problems; the torus T^n = R^n / Λ is defined as a quotient of the Euclidean space R^n by an arbitrary n-dimensional lattice Λ. The lattice is not neces…
New rigidity theorem for product of lattices.
We explore hybrid subgroups of certain non-arithmetic lattices in . We show that all of Mostow's lattices are virtually hybrids; moreover, we show that some of these non-arithmetic lattices are hybrids of two non-commensurable arithmetic lattices in .
This paper studies the covolumes of nonuniform arithmetic lattices in PU(n, 1). We determine the smallest covolume nonuniform arithmetic lattices for each n, the number of minimal covolume lattices for each n, and study the growth of the minimal covolume as n varies. In particular, there is a unique lattice (up to conj…
The paper finds incommensurable lattices in complex models of Baumslag-Solitar groups.
Proves a lattice version of the Atiyah-Singer index theorem.
Sequence discriminative training criteria have long been a standard tool in automatic speech recognition for improving the performance of acoustic models over their maximum likelihood / cross entropy trained counterparts. While previously a lattice approximation of the search space has been necessary to reduce computat…
Vertex distortion measures how far lattice knots deviate from straight lines.