English
Related papers

Related papers: Path Integral in Holomorphic Representation withou…

200 papers

On the basis of the canonical quantization procedure of a system defined on a cubic lattice, we propose a new method, in which resolutions of unity expressed in terms of eigenvectors are naturally provided, to find eigenvectors of field…

High Energy Physics - Theory · Physics 2019-12-06 Seiji Sakoda

We introduce an operator description for a stochastic sandpile model with a conserved particle density, and develop a path-integral representation for its evolution. The resulting (exact) expression for the effective action highlights…

Statistical Mechanics · Physics 2009-11-07 Ronald Dickman , Ronaldo Vidigal

We show how the robustness of gamma hedging can be understood without using rough-path theory. Instead, we use the concepts of $p^{th}$ variation along a partition sequence and Taylor's theorem directly, rather than defining an integral and…

Probability · Mathematics 2026-01-14 John Armstrong , Purba Das

We develop a path integral representation for the dynamics of quantum systems with a finite-dimensional Hilbert space, formulated entirely within a discrete phase space. Starting from the discrete Wigner function defined on $\mathbb{Z}_d…

Quantum Physics · Physics 2026-04-23 Leonardo A. Pachon , Andres F. Gomez

We consider proposals for the cost of holographic path integrals. Gravitational path integrals within finite radial cutoff surfaces have a precise map to path integrals in $T\bar T$ deformed holographic CFTs. In Nielsen's geometric…

High Energy Physics - Theory · Physics 2023-04-05 A. Ramesh Chandra , Jan de Boer , Mario Flory , Michal P. Heller , Sergio Hörtner , Andrew Rolph

We show how the Hamiltonian lattice loop representation can be cast straightforwardly in the path integral formalism. The procedure is general for any gauge theory. Here we present in detail the simplest case: pure compact QED. We also…

High Energy Physics - Theory · Physics 2019-08-15 J. M. Aroca , H. Fort , R. Gambini

We investigate the efficiency of a gauge invariant input to a neural network for the path optimization method. While the path optimization with a completely gauge-fixed link-variable input has successfully tamed the sign problem in a simple…

High Energy Physics - Lattice · Physics 2022-02-16 Yusuke Namekawa , Kouji Kashiwa , Akira Ohnishi , Hayato Takase

The essence of the path integral method in quantum physics can be expressed in terms of two relations between unitary propagators, describing perturbations of the underlying system. They inherit the causal structure of the theory and its…

Quantum Physics · Physics 2020-05-20 Detlev Buchholz , Klaus Fredenhagen

We derive a worldline path integral representation for the effective action of a multiplet of Dirac fermions coupled to the most general set of matrix-valued scalar, pseudoscalar, vector, axial vector and antisymmetric tensor background…

High Energy Physics - Theory · Physics 2009-10-28 Eric D'Hoker , Darius G. Gagne

We formulate path integrals on any Riemannian manifold which admits the action of a compact Lie group by isometric transformations. We consider a path integral on a Riemannian manifold M on which a Lie group G acts isometrically. Then we…

High Energy Physics - Theory · Physics 2015-06-25 Shogo Tanimura

In this paper we continue the development of Quantum Holonomy Theory, which is a candidate for a fundamental theory, by constructing separable strongly continuous representations of its algebraic foundation, the quantum…

Mathematical Physics · Physics 2020-05-26 Johannes Aastrup , Jesper M. Grimstrup

We study finite-dimensional integrals in a way that elucidates the mathematical meaning behind the formal manipulations of path integrals occurring in quantum field theory. This involves a proper understanding of how Wick's theorem allows…

Mathematical Physics · Physics 2016-10-12 Timothy Nguyen

We give a path integral construction of the quantum mechanical partition function for gauged finite groups. Our construction gives the quantization of a system of $d$, $N\times N$ matrices invariant under the adjoint action of the symmetric…

High Energy Physics - Theory · Physics 2024-02-06 Denjoe O'Connor , Sanjaye Ramgoolam

There are very few explicit evaluations of path integrals for topological gauge theories in more than 3 dimensions. Here we provide such a calculation for the path integral representation of the Ray-Singer Torsion of a flat connection on a…

High Energy Physics - Theory · Physics 2024-02-23 Matthias Blau , Mbambu Kakona , George Thompson

In this paper we construct a geometric analogue of the Weil representation over a finite field. Our construction is principally invariant, not choosing any specific realization. This eliminates most of the unpleasant formulas that appear in…

Representation Theory · Mathematics 2007-10-18 Shamgar Gurevich , Ronny Hadani

We present an embedding of stochastic optimal control problems, of the so called path integral form, into reproducing kernel Hilbert spaces. Using consistent, sample based estimates of the embedding leads to a model free, non-parametric…

Machine Learning · Computer Science 2012-08-14 Konrad Rawlik , Marc Toussaint , Sethu Vijayakumar

We propose a path integral formulation for scale invariant quantum field theories. We do it by modifying the functional integration measure in such a way that the partition function is always exactly scale invariant, at the cost of having…

High Energy Physics - Theory · Physics 2020-07-10 Mario Herrero-Valea

A path integral formalism for non-equilibrium systems is proposed based on a manifold of quasi-equilibrium densities. A generalized Boltzmann principle is used to weight manifold paths with the exponential of minus the information…

Mathematical Physics · Physics 2015-03-17 Richard Kleeman

Within the framework of the Duffin-Kemmer-Petiau (DKP) formalism with a deformation, an approach to the construction of the path integral representation in parasuperspace for the Green's function of a spin-1 massive particle in external…

High Energy Physics - Theory · Physics 2020-08-13 Yu. A. Markov , M. A. Markova , A. I. Bondarenko

Deep networks learn internal representations whose geometry--how features bend, rotate, and evolve--affects both generalization and robustness. Existing similarity measures such as CKA or SVCCA capture pointwise overlap between activation…

Machine Learning · Computer Science 2026-01-30 Vasileios Sevetlidis , George Pavlidis