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In the first part of our paper we analyze bisolutions and inverses of (non-autonomous) evolution equations. We are mostly interested in pseudo-unitary evolutions on Krein spaces, which naturally arise in linear Quantum Field Theory. We…

Mathematical Physics · Physics 2023-09-19 Jan Dereziński , Daniel Siemssen

I review various aspects of Feynman integrals, regularization and renormalization. Following Bloch, I focus on a linear algebraic approach to the Feynman rules, and I try to bring together several renormalization methods found in the…

High Energy Physics - Theory · Physics 2010-05-24 Christoph Bergbauer

We investigate a class of random graph ensembles based on the Feynman graphs of multidimensional integrals, representing statistical-mechanical partition functions. We show that the resulting ensembles of random graphs strongly resemble…

Statistical Mechanics · Physics 2015-06-25 Bo Soderberg

Computations in renormalizable perturbative quantum field theories reveal mathematical structures which go way beyond the formal structure which is usually taken as underlying quantum field theory. We review these new structures and the…

High Energy Physics - Theory · Physics 2009-11-07 Dirk Kreimer

It is shown how strictly four-dimensional integration by parts combined with differential renormalization and its infrared analogue can be applied for calculation of Feynman diagrams.

High Energy Physics - Theory · Physics 2009-10-30 V. A. Smirnov

In the AdS/CFT correspondence motion in the radial direction of the AdS space is identified with renormalization group flow in the field theory. For the N=4 Yang-Mills theory this motion is trivial. More interesting examples of…

High Energy Physics - Theory · Physics 2009-10-31 Nick Evans

The result from developing and applying the notions of functional self-similarity and the Bogoliubov renormalization group to boundary-value problems in mathematical physics during the last decade are reviewed. The main achievement is the…

Mathematical Physics · Physics 2008-11-26 Vladimir F. Kovalev , Dmitrij V. Shirkov

We focus on a non-abelian gauge field coupled to a single (but general) representation of a family of Nf fermions. By using the same machinery that had allowed us to evaluate the sub-leading large-Nf term of the five-loop Beta function…

High Energy Physics - Phenomenology · Physics 2017-12-06 Thomas Luthe , Andreas Maier , Peter Marquard , York Schroder

Nonclassical noises over the plane (such as the black noise of percolation) consist of sigma-fields corresponding to some planar domains. One can treat less regular domains as limits of more regular domains, thus extending the noise and its…

Probability · Mathematics 2011-07-29 Boris Tsirelson

For a broad class of the Levy processes the new form (convolution type) of the infinitesimal generators is introduced. It leads to the new notions: a truncated generator, a quasi-potential. The probability of the Levy process remaining…

Probability · Mathematics 2015-09-07 Lev Sakhnovich

This paper introduces a generalization of Convolutional Neural Networks (CNNs) from low-dimensional grid data, such as images, to graph-structured data. We propose a novel spatial convolution utilizing a random walk to uncover the relations…

Machine Learning · Statistics 2017-04-27 Yotam Hechtlinger , Purvasha Chakravarti , Jining Qin

We review the gradient flow for gauge and fermion fields and its applications to lattice gauge theory computations. Using specific examples, we discuss the interplay between perturbative and non-perturbative calculations in the context of…

High Energy Physics - Lattice · Physics 2023-01-19 Andrea Shindler

We propose a new approach to the theory of normal forms for Hamiltonian systems near a non-resonant elliptic singular point. We consider the space of all Hamiltonian functions with such an equilibrium position at the origin and construct a…

Dynamical Systems · Mathematics 2023-06-27 Dmitry Treschev

Normalizing Flows are a promising new class of algorithms for unsupervised learning based on maximum likelihood optimization with change of variables. They offer to learn a factorized component representation for complex nonlinear data and,…

Machine Learning · Computer Science 2020-02-17 Reuben Feinman , Nikhil Parthasarathy

The first part of this thesis proposes a general approach to infinite dimensional non-Gaussian analysis, including the Poissonian case. In particular distribution theory is developed. Using appropriate integral transformations, generalized…

Mathematical Physics · Physics 2007-05-23 Werner Westerkamp

This papers deals with connections between quantum anomalies and transformations of Feynman pseudo-measures. Mathematical objects related to the notion of the volume element in an infinite-dimensional space considered in the physics…

Mathematical Physics · Physics 2016-01-12 J. E. Gough , T. S. Ratiu , O. G. Smolyanov

When calculating higher terms of the epsilon-expansion of massive Feynman diagrams, one needs to evaluate particular cases of multiple inverse binomial sums. These sums are related to the derivatives of certain hypergeometric functions with…

High Energy Physics - Theory · Physics 2008-11-26 A. I. Davydychev , M. Yu. Kalmykov

In this paper we aim to generalize results obtained in the framework of fractional calculus by the way of reformulating them in terms of operator theory. In its own turn, the achieved generalization allows us to spread the obtained…

Functional Analysis · Mathematics 2020-09-08 Maksim Kukushkin

This article introduces moduli spaces of coloured graphs on which Feynman amplitudes can be viewed as 'discrete' volume densities. The basic idea behind this construction is that these moduli spaces decompose into disjoint unions of open…

Mathematical Physics · Physics 2020-08-17 Marko Berghoff

This talk reviews recent developments in the field of analytical Feynman integral calculations. The central theme is the geometry associated to a given Feynman integral. In the simplest case this is a complex curve of genus zero (aka the…

High Energy Physics - Theory · Physics 2024-01-15 Robin Marzucca , Andrew J. McLeod , Ben Page , Sebastian Pögel , Xing Wang , Stefan Weinzierl