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Related papers: Estimates of automorphic functions

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A product relative error estimation method for single index regression model is proposed as an alternative to absolute error methods, such as the least square estimation and the least absolute deviation estimation. It is scale invariant for…

Methodology · Statistics 2016-12-12 Zhanfeng Wang , Zimu Chen , Yaohua Wu

In the probability theory limit distributions (or probability measures) are often characterized by some convolution equations (factorization properties) rather than by Fourier transforms (the characteristic functionals). In fact, usually…

Probability · Mathematics 2013-07-24 Zbigniew J. Jurek

The contributions of this technical note are twofold. Firstly, we formulate an optimization problem to obtain a linear representation of a nonlinear vector field based on a system's trajectory. We also prove that its cost function is…

Optimization and Control · Mathematics 2024-07-12 Karthik Shenoy , Arvind Ragghav , Vijaysekhar Chellaboina

Motivated by Tucker tensor decomposition, this paper imposes low-rank structures to the column and row spaces of coefficient matrices in a multivariate infinite-order vector autoregression (VAR), which leads to a supervised factor model…

Methodology · Statistics 2023-12-04 Feiqing Huang , Kexin Lu , Guodong Li

We present a regularization procedure of period integrals of automorphic forms on a group $G$ over an arbitrary reductive subgroup $G' \subset G$. As a consequence we obtain an explicit $G'(\mathbb{A})$-invariant functional on the space of…

Number Theory · Mathematics 2019-03-11 Michał Zydor

In this paper, we apply the Dirichlet convolution method to \begin{equation*} T_{k}(x)=\sum_{n \leq x} d_{k}(n), \end{equation*} for $k\ge 3$, where $d_{k}(n)$ is the number of ways to represent $n$ as a product of $k$ positive integer…

Number Theory · Mathematics 2026-02-24 Sebastian Tudzi

We consider to model matrix time series based on a tensor CP-decomposition. Instead of using an iterative algorithm which is the standard practice for estimating CP-decompositions, we propose a new and one-pass estimation procedure based on…

Methodology · Statistics 2023-11-15 Jinyuan Chang , Jing He , Lin Yang , Qiwei Yao

We compute the $n_h$ terms to the massive three loop vector-, axialvector-, scalar- and pseudoscalar form factors in a direct analytic calculation using the method of large moments. This method has the advantage, that the master integrals…

High Energy Physics - Phenomenology · Physics 2020-01-08 J. Blümlein , P. Marquard , N. Rana , C. Schneider

If C is a smooth projective curve over a number field k, then, under fair hypotheses, its L-function admits meromorphic continuation and satisfies the anticipated functional equation if and only if a related function is X-mean-periodic for…

Number Theory · Mathematics 2015-03-23 Thomas Oliver

Let $K$ be an algebraically closed field of characteristic $2$, $G$ be the algebraic group $\mathrm{SL}_2$ over $K$, and $V$ be the natural representation of $G$. Let $b_k^{G,V}$ denote the number of $G$-indecomposable factors of…

Representation Theory · Mathematics 2024-05-28 Michael J. Larsen

We study arithmetic properties of certain quaternionic periods of Hilbert modular forms arising from base change of elliptic modular forms. These periods which we call the distinguished periods are closely related to the notion of…

Number Theory · Mathematics 2023-10-18 Haining Wang

The log-conformation formulation, although highly successful, was from the beginning formulated as a partial differential equation that contains an, for PDEs unusual, eigenvalue decomposition of the unknown field. To this day, most…

Fluid Dynamics · Physics 2023-11-08 Florian Becker , Katharina Rauthmann , Lutz Pauli , Philipp Knechtges

We relate analytically defined deformations of modular curves and modular forms from the literature to motivic periods via cohomological descriptions of deformation theory. Leveraging cohomological vanishing results, we prove the existence…

Number Theory · Mathematics 2024-04-05 Adam Keilthy , Martin Raum

We develop a new approximative estimation method for conditional Shapley values obtained using a linear regression model. We develop a new estimation method and outperform existing methodology and implementations. Compared to the sequential…

Methodology · Statistics 2025-04-28 Fredrik Lohne Aanes

We give a criterion in terms of p-adic Asai L-functions for a cuspidal automorphic representation of GL(2) over a real quadratic field to be a distinguished representation, providing a p-adic counterpart of a well-known theorem of Flicker…

Number Theory · Mathematics 2026-01-08 David Loeffler , Sarah Livia Zerbes

We give simple proofs of some simple statements concerning the Lambert problem. We first restate and reprove the known existence and uniqueness results for the Keplerian arc. We also prove in some cases that the elapsed time is a convex…

Mathematical Physics · Physics 2020-06-11 Alain Albouy , Antonio J. Urena

Local Fourier analysis is a strong and well-established tool for analyzing the convergence of numerical methods for partial differential equations. The key idea of local Fourier analysis is to represent the occurring functions in terms of a…

Numerical Analysis · Mathematics 2015-03-12 Stefan Takacs

The analytic properties of automorphic L-functions have historically been obtained either through integral representations (the "Rankin-Selberg method"), or properties of the Fourier expansions of Eisenstein series (the "Langlands-Shahidi…

Number Theory · Mathematics 2011-09-21 Stephen D. Miller , Wilfried Schmid

Recently, three numerical methods for the computation of eigenvalues of singular matrix pencils, based on a rank-completing perturbation, a rank-projection, or an augmentation were developed. We show that all three approaches can be…

Numerical Analysis · Mathematics 2025-02-21 Michiel E. Hochstenbach , Christian Mehl , Bor Plestenjak

Estimating individual-level treatment effect from observational data is a fundamental problem in causal inference and has attracted increasing attention in the fields of education, healthcare, and public policy.In this work, we concentrate…

Machine Learning · Computer Science 2025-07-10 Hui Meng , Keping Yang , Xuyu Peng , Bo Zheng