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A very small dispersion in the speed of light may be observable in Fermi time- and energy-tagged data on variable sources, such as gamma-ray bursts (GRB) and active galactic nuclei (AGN). We describe a method to compute the size of this…

Instrumentation and Methods for Astrophysics · Physics 2009-12-22 Jeffrey D. Scargle , Slobodan N. Simić

A direct procedure for determining the propagator associated with a quantum mechanical problem was given by the Path Integration Procedure of Feynman. The Green function, which is the Fourier Transform with respect to the time variable of…

Quantum Physics · Physics 2008-04-25 Marcos Moshinsky , Emerson Sadurni , Adolfo del Campo

The well-known physical equivalence drawn from hole theory is applied in this article. The author suggests to replace, in the part of Feynman diagram which cannot be fixed by experiments, each fermion field operator, and hence fermion…

High Energy Physics - Theory · Physics 2011-04-20 Ji Sun

We propose, for dimension d, a discrete Lorentz invariant operator on scalar fields that approximates the Minkowski spacetime scalar d'Alembertian. For each dimension, this gives rise to a scalar curvature estimator for causal sets, and…

General Relativity and Quantum Cosmology · Physics 2013-09-13 Fay Dowker , Lisa Glaser

A distance measure is presented between two unitary propagators of quantum systems of differing dimensions along with a corresponding method of computation. A typical application is to compare the propagator of the actual (real) process…

Quantum Physics · Physics 2007-05-23 Robert L. Kosut , Matthew Grace , Constantin Brif , Herschel Rabitz

We link the notion causality with the orientation of the 2-complex on which spin foam models are based. We show that all current spin foam models are orientation-independent, pointing out the mathematical structure behind this independence.…

General Relativity and Quantum Cosmology · Physics 2009-11-10 Daniele Oriti

Causal investigations in observational studies pose a great challenge in research where randomized trials or intervention-based studies are not feasible. We develop an information geometric causal discovery and inference framework of…

Methodology · Statistics 2023-11-08 Soumik Purkayastha , Peter X. K. Song

We seek a practical method for establishing dense correspondences between two images with similar content, but possibly different 3D scenes. One of the challenges in designing such a system is the local scale differences of objects…

Computer Vision and Pattern Recognition · Computer Science 2016-04-20 Moria Tau , Tal Hassner

Inspired by recent developments in the study of chaos in many-body systems, we construct a measure of local information spreading for a stochastic Cellular Automaton in the form of a spatiotemporally resolved Hamming distance. This…

Statistical Mechanics · Physics 2021-03-24 Shuwei Liu , J. Willsher , T. Bilitewski , Jinjie Li , A. Smith , K. Christensen , R. Moessner , J. Knolle

Feynman's i-epsilon prescription for quantum field theoretic propagators has a quite natural reinterpretation in terms of a slight complex deformation of the Minkowski spacetime metric. Though originally a strictly flat-space result, once…

General Relativity and Quantum Cosmology · Physics 2022-09-07 Matt Visser

We discuss contact invariant structures on the space of solutions of a third-order ordinary differential equation. Associated to any third-order differential equation modulo contact transformations, Chern introduced a degenerate conformal…

Differential Geometry · Mathematics 2010-01-05 Jonathan Holland , George Sparling

By appeal to Distribution Theory we discuss in rigorous fashion, without appealing to {\bf any conjecture} (as usually done by other authors), the boundary-bulk propagators for the scalar field, both in the non-massive and massive cases.…

High Energy Physics - Theory · Physics 2019-02-08 A. Plastino , M. C. Rocca

Feynman amplitudes in perturbation theory form the basis for most predictions in particle collider experiments. The mathematical quantities which occur as amplitudes include values of the Riemann zeta function and relate to fundamental…

Mathematical Physics · Physics 2016-01-01 Francis Brown

This study shows how Aronszajn's theory of reproducing kernels can be of use for the construction the Hilbert spaces of quantum theory. We show that the Feynman propagator is an example of a reproducing kernel under a boundedness condition.…

Mathematical Physics · Physics 2020-10-26 Pierre-Cyril Aubin-Frankowski

Light propagation through a normal medium is determined not only by the real part of the refractive index but also by its imaginary part, which represents optical gain and loss. Therefore, two media with different gain and loss landscapes…

Optics · Physics 2019-08-21 Jose Hernandez Rivero , Li Ge

We model the classical transmission of a massless scalar field from a source to a detector on a background causal set. The predictions do not differ significantly from those of the continuum. Thus, introducing an intrinsic inexactitude to…

General Relativity and Quantum Cosmology · Physics 2010-12-23 Fay Dowker , Joe Henson , Rafael Sorkin

A good generalization of the Euclidean dimension to disordered systems and non crystalline structures is commonly required to be related to large scale geometry and it is expected to be independent of local geometrical modifications. The…

Statistical Mechanics · Physics 2009-10-30 Raffaella Burioni , Davide Cassi

We first introduce a class of divergence measures between power spectral density matrices. These are derived by comparing the suitability of different models in the context of optimal prediction. Distances between "infinitesimally close"…

Optimization and Control · Mathematics 2016-11-18 Xianhua Jiang , Lipeng Ning , Tryphon T. Georgiou

We present significant evidence that the powerful property of Yangian invariance extends to a new large class of conformally invariant Feynman integrals. Our results apply to planar Feynman diagrams in any spacetime dimension dual to an…

High Energy Physics - Theory · Physics 2025-07-01 Vladimir Kazakov , Fedor Levkovich-Maslyuk , Victor Mishnyakov

Visual representations underlie object recognition tasks, but they often contain both robust and non-robust features. Our main observation is that image classifiers may perform poorly on out-of-distribution samples because spurious…

Computer Vision and Pattern Recognition · Computer Science 2022-04-27 Chengzhi Mao , Kevin Xia , James Wang , Hao Wang , Junfeng Yang , Elias Bareinboim , Carl Vondrick