Date of Completion

Spring 5-1-2024

Project Advisor(s)

Kyu-Hwan Lee; Jeremy Teitelbaum; Derek Aguiar

University Scholar Major

Mathematics

Second University Scholar Major

Computer Science

Disciplines

Computer Sciences | Data Science | Mathematics | Number Theory | Theory and Algorithms

Abstract

We report on a machine learning investigation of large datasets of elliptic curves and L-functions. This leads to the discovery of murmurations, an unexpected correlation between the root numbers and Dirichlet coefficients of L-functions. We provide a formal definition of murmurations, describe the connection with 1-level density, and provide three examples for which the murmuration phenomenon has been rigorously proven. Using our understanding of murmurations, we then build new machine learning models in search of a polynomial time algorithm for predicting root numbers. Based on our models and several heuristic arguments, we conclude that it is unlikely for a straightforward machine learning approach to yield a model that can predict root numbers in polynomial time.

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