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In this paper we have estimated one multi-variable character sum \begin{align*} \sum_{a=2}^{p-2}\sum_{b=1}^{p-1}\sum_{c=2}^{p-2}\sum_{d=1}^{p-1}\left(\frac{a^2-b^2}{p}\right)\left(\frac{b^2-1}{p}\right)…

Number Theory · Mathematics 2021-04-21 Nilanjan Bag , Antonio Rojas-León , Zhang Wenpeng

We obtain new Poisson type summation formulas with nodes $\pm \sqrt{n}$ and with weights involving the function $r_k(n)$ that gives the number of representations of a positive integer $n$ as the sum of $k$ squares. Our results extend…

Classical Analysis and ODEs · Mathematics 2021-10-25 Nir Lev , Gilad Reti

In general, the distribution of residuals cannot be obtained explicitly. We give an asymptotic formula for the density of Pearson residuals in continuous generalized linear models corrected to order $n^{-1}$, where $n$ is the sample size.…

Methodology · Statistics 2009-06-26 Gauss M. Cordeiro , Alexandre B. Simas

The Apostol-Dedekind sum with quasi-periodic Euler functions is an analogue of Apostol's definition of the generalized Dedekind sum with periodic Bernoulli functions. In this paper, using the Boole summation formula, we shall obtain the…

Number Theory · Mathematics 2015-08-26 Su Hu , Daeyeoul Kim , Min-Soo Kim

We consider the gauge invariance of the standard Yang-Mills model in the framework of the causal approach of Epstein-Glaser and Scharf and determine the generic form of the anomalies. The method used is based Epstein-Glaser approach to…

High Energy Physics - Theory · Physics 2007-05-23 Dan Radu Grigore

This work introduces a unified approach to the reduction of Poisson manifolds using their description by graded symplectic manifolds. This yields a generalization of the classical Poisson reduction by distributions (Marsden-Ratiu…

Symplectic Geometry · Mathematics 2015-05-19 Alberto S. Cattaneo , Marco Zambon

We present a way to capture high-information posteriors from training sets that are sparsely sampled over the parameter space for robust simulation-based inference. In physical inference problems, we can often apply domain knowledge to…

Machine Learning · Statistics 2025-09-26 T. Lucas Makinen , Ce Sui , Benjamin D. Wandelt , Natalia Porqueres , Alan Heavens

A general method for analytic inversion in integral geometry is proposed. All classical and some new reconstruction formulas of Radon-John type are obtained by this method. No harmonic analysis and PDE is used.

Differential Geometry · Mathematics 2015-06-03 Victor P. Palamodov

In these notes the exact renormalization group formulation of the scalar theory is briefly reviewed. This regularization scheme is then applied to supersymmetric theories. In case of a supersymmetric gauge theory it is also shown how to…

High Energy Physics - Theory · Physics 2007-05-23 Federica Vian

The G-Wishart distribution is an essential component for the Bayesian analysis of Gaussian graphical models as the conjugate prior for the precision matrix. Evaluating the marginal likelihood of such models usually requires computing…

Methodology · Statistics 2025-04-11 Ching Wong , Giusi Moffa , Jack Kuipers

The distribution of the sum of r-th power of standard normal random variables is a generalization of the chi-squared distribution. In this paper, we represent the probability density function of the random variable by an one-dimensional…

Classical Analysis and ODEs · Mathematics 2018-06-25 Tamio Koyama

The normal or Gaussian distribution plays a prominent role in almost all fields of science. However, it is well known that the Gauss (or Euler--Poisson) integral over a finite boundary, as it is necessary for instance for the error function…

Numerical Analysis · Mathematics 2022-06-14 Dmitri Martila , Stefan Groote

We propose investigating a summation analog of the paradigm for parallel integration. We make some first steps towards an indefinite summation method applicable to summands that rationally depend on the summation index and a P-recursive…

Combinatorics · Mathematics 2024-06-10 Shaoshi Chen , Ruyong Feng , Manuel Kauers , Xiuyun Li

A novel method of summation for power series is developed. The method is based on the self-similar approximation theory. The trick employed is in transforming, first, a series expansion into a product expansion and in applying the…

Statistical Mechanics · Physics 2009-11-10 V. I. Yukalov , S. Gluzman , D. Sornette

A magnetic separation algorithm originally introduced by Gauss has been revisited in recent years with application to magnetically-confined fusion experiments. The main result offered by Gauss' Separation Algorithm~(GSA) is a magnetic field…

Plasma Physics · Physics 2025-07-17 Gregorio L Trevisan , Ryan M Sweeney , Robert S Granetz

We characterize the measures on R which have both their support and spectrum uniformly discrete. A similar result is obtained in R^n for positive measures.

Classical Analysis and ODEs · Mathematics 2015-01-05 Nir Lev , Alexander Olevskii

We formulate Poisson-Lie T-duality in a path-integral manner that allows us to analyze the quantum corrections. Using the path-integral, we rederive the most general form of a Poisson-Lie dualizeable background and the generalized Buscher…

High Energy Physics - Theory · Physics 2008-11-26 Eugene Tyurin , Rikard von Unge

Let $K$ be a field with $G_K(2) \simeq G_{\mathbb{Q}}(2)$, where $G_F(2)$ denotes the maximal pro-2 quotient of the absolute Galois group of a field $F$. We prove that then $K$ admits a (non-trivial) valuation $v$ which is 2-henselian and…

Number Theory · Mathematics 2024-06-19 Jochen Koenigsmann , Kristian Strommen

A poly-log time method to compute the truncated theta function, its derivatives, and integrals is presented. The method is elementary, rigorous, explicit, and suited for computer implementation. We repeatedly apply the Poisson summation…

Number Theory · Mathematics 2011-03-15 Ghaith Ayesh Hiary

We develop a "motivic integration" version of the Poisson summation formula for function fields, with values in the Grothendieck ring of definable exponential sums. We also study division algebras over the function field, and obtain…

Logic · Mathematics 2009-02-06 Ehud Hrushovski , David Kazhdan
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