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Related papers: Hamiltonian Braids via Generating Functions

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The aim of this work is to outline in some detail the use of combinatorial algebra in planar quantum field theory. Particular emphasis is given to the relations between the different types of planar Green's functions. The key object is a…

Mathematical Physics · Physics 2016-08-16 Kurusch Ebrahimi-Fard , Frederic Patras

Generative diffusion models have emerged as a powerful class of models in machine learning, yet a unified theoretical understanding of their operation is still developing. This paper provides an integrated perspective on generative…

Machine Learning · Statistics 2026-03-27 Dejan Stancevic , Luca Ambrogioni

The procedure of the holonomy-flux algebra construction along a piecewise linear path, which consists of a countably infinite number of pieces, is described in this article. The related construction approximates the continuous distribution…

General Relativity and Quantum Cosmology · Physics 2021-01-15 Jakub Bilski

This is the second of two articles devoted to an exposition of the generating-function method for computing fusion rules in affine Lie algebras. The present paper focuses on fusion rules, using the machinery developed for tensor products in…

Mathematical Physics · Physics 2009-10-31 L. Begin , C. Cummins , P. Mathieu

Normalizing Flows (NF) are Generative models which transform a simple prior distribution into the desired target. They however require the design of an invertible mapping whose Jacobian determinant has to be computable. Recently introduced,…

Machine Learning · Computer Science 2025-09-18 Vincent Souveton , Arnaud Guillin , Jens Jasche , Guilhem Lavaux , Manon Michel

Time evolution equations for dynamical systems can often be derived from generating functionals. Examples are Newton's equations of motion in classical dynamics which can be generated within the Lagrange or the Hamiltonian formalism. We…

Neurons and Cognition · Quantitative Biology 2014-04-23 Claudius Gros

By considering the Einstein vacuum field equations linearized about the Minkowski metric, the evolution equations for the gauge-invariant quantities characterizing the gravitational field are written in a Hamiltonian form by using a…

General Relativity and Quantum Cosmology · Physics 2014-11-17 R. Rosas-Rodriguez

It is well known that a Wilson action reduces to the generating functional of connected correlation functions as we take the momentum cutoff to zero. For a fixed point Wilson action, this implies that for momenta large compared with the…

High Energy Physics - Theory · Physics 2019-12-06 H. Sonoda

Consider a functional associating to a pair of compactly supported smooth functions on a symplectic manifold the maximum of their Poisson bracket. We show that this functional is lower semi-continuous with respect to the product uniform…

Symplectic Geometry · Mathematics 2007-12-19 Michael Entov , Leonid Polterovich

We introduce an algebra bundle of chord diagrams over the configuration space of N points in the complex plane on which we put the Knizhnik-Zamolodchikov connection. For that particular connection, the holonomy along a loop in the base is…

Geometric Topology · Mathematics 2012-02-28 Renaud Gauthier

We find robust obstructions to representing a Hamiltonian diffeomorphism as a full $k$-th power, $k \geq 2,$ and in particular, to including it into a one-parameter subgroup. The robustness is understood in the sense of Hofer's metric. Our…

Symplectic Geometry · Mathematics 2015-02-20 Leonid Polterovich , Egor Shelukhin

In this paper, we introduce a ``CFT factory'' : a novel algorithm of methodically generating 2D lattice models that would flow to 2D conformal fixed points in the infrared. These 2D models are realised by giving critical boundary conditions…

Strongly Correlated Electrons · Physics 2025-06-25 Ling-Yan Hung , Kaixin Ji , Ce Shen , Yidun Wan , Yu Zhao

Consider a closed coisotropic submanifold $N$ of a symplectic manifold $(M,\omega)$ and a Hamiltonian diffeomorphism $\phi$ on $M$. The main result of this article states that $\phi$ has at least the cup-length of $N$ many leafwise fixed…

Symplectic Geometry · Mathematics 2017-07-17 Fabian Ziltener

The pull-back, push-forward and multiplication of smooth functions can be extended to distributions if their wave front set satisfies some conditions. Thus, it is natural to investigate the topological properties of these operations between…

Functional Analysis · Mathematics 2016-10-12 Christian Brouder , Nguyen Viet Dang , Frédéric Hélein

A fast method is presented for computing the topological entropy of braids on the torus. This work is motivated by the need to analyze large braids when studying two-dimensional flows via the braiding of a large number of particle…

Chaotic Dynamics · Physics 2007-12-12 Matthew D. Finn , Jean-Luc Thiffeault

We classify braided tensor categories over C of exponential growth which are quasisymmetric, i.e., the squared braiding is the identity on the product of any two simple objects. This generalizes the classification results of Deligne on…

Quantum Algebra · Mathematics 2009-06-01 Pavel Etingof , Shlomo Gelaki

We introduce a dynamic random hypergraph model constructed from a bipartite graph. In this model, both vertex sets of the bipartite graph are generated by marked Poisson point processes. Vertices of both vertex sets are equipped with marks…

Probability · Mathematics 2025-07-23 Christian Hirsch , Benedikt Jahnel , Péter Juhász

We give the generating function for the index of integer lattice points, relative to a finite order ideal. The index is an important concept in the theory of border bases, an alternative to Gr\"obner bases. Equivalently, we explicitly solve…

Combinatorics · Mathematics 2025-03-04 Jan Snellman

Well characterized sequences of dynamical states play an important role for motor control and associative neural computation in the brain. Autonomous dynamics involving sequences of transiently stable states have been termed associative…

Adaptation and Self-Organizing Systems · Physics 2013-07-15 Mathias Linkerhand , Claudius Gros

Efficient unsupervised training and inference in deep generative models remains a challenging problem. One basic approach, called Helmholtz machine, involves training a top-down directed generative model together with a bottom-up auxiliary…

Machine Learning · Computer Science 2016-05-26 Jorg Bornschein , Samira Shabanian , Asja Fischer , Yoshua Bengio