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We show that the term `superdifferential equation' has been employed in the literature to refer to different types of differential equations with even and odd variables. It is justified on physical and mathematical grounds that a subclass…

Mathematical Physics · Physics 2023-11-16 Janusz Grabowski , Javier de Lucas

In this article, we explore the boundedness properties of pseudo-differential operators on radial sections of line bundles over the Poincar\'e upper half plane, even when dealing with symbols of limited regularity. We first prove the…

Classical Analysis and ODEs · Mathematics 2023-10-18 Tapendu Rana , Michael Ruzhansky

In this note we extend the Differential Transfer Matrix Method (DTMM) for a second-order linear ordinary differential equation to the complex plane. This is achieved by separation of real and imaginary parts, and then forming a system of…

Mathematical Physics · Physics 2015-09-30 Sina Khorasani , Farhad Karimi

We consider differential operators between sections of arbitrary powers of the determinant line bundle over a contact manifold. We extend the standard notions of the Heisenberg calculus: noncommutative symbolic calculus, the principal…

Mathematical Physics · Physics 2019-01-01 Charles H. Conley , Valentin Ovsienko

Hypergeometric functions provide a useful representation of Feynman diagrams occuring in precision phenomenology. In dimension regularization, the epsilon-expansion of these functions about d=4 is required. We discuss the current status of…

High Energy Physics - Phenomenology · Physics 2008-10-06 S. A. Yost , M. Yu. Kalmykov , B. F. L. Ward

The notion of supershift generalizes that one of superoscillation and expresses the fact that the sampling of a function in an interval allows to compute the values of the function outside the interval. In a previous paper we discussed the…

Complex Variables · Mathematics 2023-12-11 F. Colombo , I. Sabadini , D. C. Struppa , A. Yger

Basic principles of set theory have been applied in the context of probability and binary computation. Applying the same principles on inequalities is less common but can be extremely beneficial in a variety of fields. This paper formulates…

Symbolic Computation · Computer Science 2019-12-30 Jasdeep Singh Grover

Hypercomplex numbers are unital algebras over the real numbers. We offer a short demonstration of the practical value of hypercomplex analytic functions in the field of partial differential equations.

General Mathematics · Mathematics 2016-09-13 David Harper

We give complete and exact descriptions of spaces of ultradifferentiable functions that are closed under composition with either holomorphic or ultradifferentiable functions -- which are two distinct cases. The proof works by considering…

Classical Analysis and ODEs · Mathematics 2017-02-14 Jürgen Pöschel

In the framework leading to the multiplicative anomaly formula ---which is here proven to be valid even in cases of known spectrum but non-compact manifold (very important in Physics)--- zeta-function regularisation techniques are shown to…

High Energy Physics - Theory · Physics 2009-10-31 Emilio Elizalde , Guido Cognola , Sergio Zerbini

Entanglement is sometimes helpful in distinguishing between quantum operations, as differences between quantum operations can become magnified when their inputs are entangled with auxiliary systems. Bounds on the dimension of the auxiliary…

Quantum Physics · Physics 2008-04-18 John Watrous

We introduce the space of grid functions, a space of generalized functions of nonstandard analysis that provides a coherent generalization both of the space of distributions and of the space of Young measures. We will show that in the space…

Functional Analysis · Mathematics 2019-07-15 Emanuele Bottazzi

A new directional derivative and a new subdifferential for set-valued convex functions are constructed, and a set-valued version of the so-called 'max-formula' is proven. The new concepts are used to characterize solutions of convex…

Optimization and Control · Mathematics 2012-07-24 Andreas H. Hamel , Carola Schrage

We show that many perception tasks, from visual recognition, semantic segmentation, optical flow, depth estimation to vocalization discrimination, are highly redundant functions of their input data. Images or spectrograms, projected into…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Rahul Ramesh , Anthony Bisulco , Ronald W. DiTullio , Linran Wei , Vijay Balasubramanian , Kostas Daniilidis , Pratik Chaudhari

Tangent categories are categories equipped with a tangent functor: an endofunctor with certain natural transformations which make it behave like the tangent bundle functor on the category of smooth manifolds. They provide an abstract…

Category Theory · Mathematics 2017-03-10 J. R. B. Cockett , G. S. H. Cruttwell

In the field of radial basis functions mathematicians have been endeavouring to find infinitely differentiable and compactly supported radial functions. This kind of functions are extremely important for some reasons. First, its…

Numerical Analysis · Mathematics 2007-05-23 Lin-Tian Luh

We give efficient superspace methods for deriving component actions for supergravity coupled to matter. One method uses normal coordinates to covariantly expand the superfield action, and can be applied straightforwardly to any superspace.…

High Energy Physics - Theory · Physics 2009-10-30 S. James Gates , Marcus T. Grisaru , Marcia E. Knutt-Wehlau , Warren Siegel

Sampling theory in spaces other than the space of band-limited functions has recently received considerable attention. This is in part because the band-limitedness assumption is not very realistic in many applications. In addition,…

Classical Analysis and ODEs · Mathematics 2007-05-23 Cristina Blanco , Carlos Cabrelli , Sigrid Heineken

We give a method of solution to the problem of iterating holomorphic functions to fractional or complex heights. We construct an auxiliary function from natural iterates of a holomorphic function; the auxiliary function will be…

Complex Variables · Mathematics 2016-02-08 James Nixon

This paper studies separating invariants: mappings on $D$ dimensional domains which are invariant to an appropriate group action, and which separate orbits. The motivation for this study comes from the usefulness of separating invariants in…

Machine Learning · Computer Science 2023-11-22 Nadav Dym , Steven J. Gortler
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