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Related papers: Summable families in tempered distribution spaces

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In this paper we define Schwartz families in tempered distribution spaces and prove many their properties. Schwartz families are the analogous of infinite dimensional matrices of separable Hilbert spaces, but for the Schwartz test function…

Functional Analysis · Mathematics 2011-04-26 David Carfí

In this paper we define the S-bases for the spaces of tempered distributions. These new bases are the analogous of Hilbert bases of separable Hilbert spaces for the continuous case (they are indexed by m-dimensional Euclidean spaces) and…

Functional Analysis · Mathematics 2011-04-19 David Carfí

We develop an analog of the exponential families of Wilf in which the label sets are finite dimensional vector spaces over a finite field rather than finite sets of positive integers. The essential features of exponential families are…

Combinatorics · Mathematics 2007-05-23 Kent E. Morrison

A family of formal power series, such that its coefficients satisfy a recursion formula, is characterized in terms of the summability, in the sense of J. P. Ramis, of its elements along certain well chosen directions. We describe a set of…

Complex Variables · Mathematics 2022-04-13 A. Lastra , J. Sanz , J. R. Sendra

The exponential family of models is defined in a general setting, not relying on probability theory. Some results of information geometry are shown to remain valid. Exponential families both of classical and of quantum mechanical…

Mathematical Physics · Physics 2015-06-03 Jan Naudts , Ben Anthonis

An infinite family of exactly-solvable and integrable potentials on a plane is introduced. It is shown that all already known rational potentials with the above properties allowing separation of variables in polar coordinates are particular…

Mathematical Physics · Physics 2015-05-13 Frédérick Tremblay , Alexander V. Turbiner , Pavel Winternitz

We consider a class of tempered subordinators, namely a class of subordinators with one-dimensional marginal tempered distributions which belong to a family studied in [3]. The main contribution in this paper is a non-central moderate…

Probability · Mathematics 2020-11-05 Nikolai Leonenko , Claudio Macci , Barbara Pacchiarotti

A new family of polynomials, called cumulant polynomial sequence, and its extensions to the multivariate case is introduced relied on a purely symbolic combinatorial method. The coefficients of these polynomials are cumulants, but depending…

Statistics Theory · Mathematics 2016-06-06 E. Di Nardo

We define a family {$\gamma(P)$} of generalized Euler constants indexed by finite sets of primes $P$ and study their distribution. These arise from partial sums of reciprocals of integers not divisible by any prime in $P$. An apparent…

Number Theory · Mathematics 2019-05-01 Harold G. Diamond , Kevin Ford

In this paper we define the closure under weak convergence of the class of p-tempered {\alpha}-stable distributions. We give necessary and sufficient conditions for convergence of sequences in this class. Moreover, we show that any element…

Probability · Mathematics 2013-06-11 Michael Grabchak

Compound distributions allow construction of a rich set of distributions. Typically they involve an intractable integral. Here we use a quadrature approximation to that integral to define the quadrature compound family. Special care is…

Computation · Statistics 2018-01-10 Josh Dillon , Ian Langmore

Near-vector spaces extend linear algebra tools to non-linear algebraic structures, enabling the study of non-linear problems. However, explicit constructions remain rare. This paper introduces a broad computable family of near-vector…

Rings and Algebras · Mathematics 2025-04-07 L. Boonzaaier , S. Marques , D. Moore

The concepts of superposition and of transition probability, familiar from pure states in quantum physics, are extended to locally normal states on funnels of type I$_\infty$ factors. Such funnels are used in the description of infinite…

Mathematical Physics · Physics 2015-01-26 Detlev Buchholz , Erling Størmer

A subbundle of variable dimension inside the tangent bundle of a smooth manifold is called a smooth distribution if it is the pointwise span of a family of smooth vector fields. We prove that all such distributions are finitely generated,…

Differential Geometry · Mathematics 2021-01-28 Lance D. Drager , Jeffrey M. Lee , Efton Park , Ken Richardson

Classical sequential growth models for causal sets provide an important step towards the formulation of a quantum causal set dynamics. The covariant observables in a class of these models known as generalised percolation have been…

General Relativity and Quantum Cosmology · Physics 2009-11-11 Fay Dowker , Sumati Surya

A definition of summability is put forward in the framework of general Carleman ultraholomorphic classes in sectors, so generalizing $k-$summability theory as developed by J.-P. Ramis. Departing from a strongly regular sequence of positive…

Complex Variables · Mathematics 2014-02-10 Alberto Lastra , Stephane Malek , Javier Sanz

Distributions, i.e., subsets of tangent bundles formed by piecing together subspaces of tangent spaces, are commonly encountered in the theory and application of differential geometry. Indeed, the theory of distributions is a fundamental…

Differential Geometry · Mathematics 2023-09-20 Andrew D. Lewis

Kalman's fundamental notion of a controllable state space system \cite{k} has been generalised to higher order systems by Willems \cite{w}, and further to distributed systems defined by partial differential equations \cite{ps}. It turns…

Optimization and Control · Mathematics 2024-11-27 Shiva Shankar

We start with definitions of the general notions of the theory of $\Bbb Z_{2}$-graded algebras. Then we consider theory of inductive families of $\Bbb Z_{2}$-graded semisimple finite-dimensional algebras and its representations in the…

Representation Theory · Mathematics 2008-01-17 A. M. Vershik , A. N. Sergeev

The link with exponential families has allowed $k$-means clustering to be generalized to a wide variety of data generating distributions in exponential families and clustering distortions among Bregman divergences. Getting the framework to…

Machine Learning · Computer Science 2022-11-08 Ehsan Amid , Richard Nock , Manfred Warmuth
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