English
Related papers

Related papers: The L-functions and modular forms database project

200 papers

Distilling underlying principles from data has historically driven scientific breakthroughs. However, conventional data-driven machine learning often produces complex models that lack interpretability and generalization due to insufficient…

Materials Science · Physics 2025-07-28 Zhilong Song , Qionghua Zhou , Chunjin Ren , Chongyi Ling , Minggang Ju , Jinlan Wang

This is a report on the global aspects of the Langlands-Shahidi method which in conjunction with converse theorems of Cogdell and Piatetski-Shapiro has recently been instrumental in establishing a significant number of new and surprising…

Number Theory · Mathematics 2007-05-23 Freydoon Shahidi

Large language models (LLMs) excel in many natural language processing (NLP) tasks. However, since LLMs can only incorporate new knowledge through training or supervised fine-tuning processes, they are unsuitable for applications that…

Databases · Computer Science 2024-07-23 Zongyue Qin , Chen Luo , Zhengyang Wang , Haoming Jiang , Yizhou Sun

In this paper new classes of $L_2$-orthogonal functions are constructed as iterated $L_2$-orthogonal systems. In order to do this we use the theory of the Riemann's zeta-function as well as our theory of Jacob's ladders. The main result is…

Classical Analysis and ODEs · Mathematics 2021-04-27 Jan Moser

This is a draft version of an invited article for a forthcoming book `The genesis of Langlands Program', eds. Julia Mueller and Freydoon Shahidi, which will be published in the London Mathematics Society Lecture Notes Series. It gives a…

Functional Analysis · Mathematics 2019-11-12 Derek W Robinson

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

The Riemann zeta function, and more generally the L-functions of Dirichlet characters, are among the central objects of study in number theory. We report on a project to formalize the theory of these objects in Lean's "Mathlib" library,…

Number Theory · Mathematics 2025-07-16 David Loeffler , Michael Stoll

Recent text and image foundation models are incredibly impressive, and these models are attracting an ever-increasing portion of research resources. In this position piece we aim to shift the ML research community's priorities ever so…

Machine Learning · Computer Science 2024-06-04 Boris van Breugel , Mihaela van der Schaar

We categorify the Hecke L-functions of $\mathrm{GL}(1)$ by replacing the L-functions with "modules of zeta integrals". These modules of zeta integrals are generated by the classical L-function. This approach allows us to categorify…

Number Theory · Mathematics 2020-12-08 Gal Dor

De Bruijn and Newman introduced a deformation of the completed Riemann zeta function $\zeta$, and proved there is a real constant $\Lambda$ which encodes the movement of the nontrivial zeros of $\zeta$ under the deformation. The Riemann…

Number Theory · Mathematics 2024-12-17 Alan Chang , David Mehrle , Steven J. Miller , Tomer Reiter , Joseph Stahl , Dylan Yott

We introduce the Delta-framework, LF-Delta, a dependent type theory based on the Edinburgh Logical Framework LF, extended with the strong proof-functional connectives, i.e. strong intersection, minimal relevant implication and strong union.…

Logic in Computer Science · Computer Science 2018-08-22 Furio Honsell , Luigi Liquori , Claude Stolze , Ivan Scagnetto

The formal term-by-term differentiation with respect to parameters is demonstrated to be legitimate for the Mittag-Leffler type functions. The justification of differentiation formulas is made by using the concept of the uniform…

General Mathematics · Mathematics 2024-11-26 Sergei V. Rogosin , Filippo Giraldi , Francesco Mainardi

Density Functional Theory (DFT) is one of the most widely used methods for "ab initio" calculations of the structure of atoms, molecules, crystals, surfaces, and their interactions. Unfortunately, the customary introduction to DFT is often…

Physics Education · Physics 2010-12-07 Nathan Argaman , Guy Makov

This work lies at an intersection of three subjects: quantum field theory, algebraic geometry and number theory, in a situation where dialogue between practitioners has revealed rich structure. It contains a theorem and 7 conjectures,…

General Physics · Physics 2016-04-12 David Broadhurst

Over the past twenty years, the probabilistic approach to Liouville Conformal Field Theory (LCFT) has undergone remarkable developments, transforming a collection of ideas at the interface of probability, geometry, complex analysis and…

Mathematical Physics · Physics 2025-09-26 Rémi Rhodes , Vincent Vargas

Advancements in LLMs have recently unveiled challenges tied to computational efficiency and continual scalability due to their requirements of huge parameters, making the applications and evolution of these models on devices with limited…

The near-completion of the program of endoscopy poses the question of what lies next. This article takes a broad view of ideas beyond the program of endoscopy, highlighting the connections among them, and emphasizing the relationship…

Number Theory · Mathematics 2023-10-05 Yiannis Sakellaridis

Let f: X -> Y be a separated morphism of schemes of finite type over a finite field of characteristic p, let Lambda be an artinian local Z_p-algebra with finite residue field, let m be the maximal ideal of Lambda, and let L^\bullet be a…

Number Theory · Mathematics 2007-05-23 Matthew Emerton , Mark Kisin

Liouville conformal field theory (LCFT) is considered on a simply connected domain with boundary, specializing to the case where the Liouville potential is integrated only over the boundary of the domain. We work in the probabilistic…

Probability · Mathematics 2024-01-09 Guillaume Remy , Tunan Zhu

Our results can be viewed as applications of algebraic combinatorics in random matrix theory. These applications are motivated by the predictive power of random matrix theory for the statistical behavior of the celebrated Riemann…

Combinatorics · Mathematics 2018-05-21 Helen Riedtmann