Biases in Moments of the Dirichlet Coefficients in One- and Two-Parameter Families of Elliptic Curves
Steven J. Miller, Yan Weng (with an appendix by Jiefei Wu)

TL;DR
This paper investigates biases in the moments of Dirichlet coefficients of elliptic curve families over rationals, providing evidence that negative biases in second and higher moments are prevalent and have implications for elliptic curve properties.
Contribution
It offers the first systematic analysis of biases in moments across various elliptic curve families, supporting Miller's conjecture with new computational evidence.
Findings
Negative biases in the second moment are observed in all families with computable closed forms.
Higher even moments also exhibit persistent negative biases.
Computational evidence supports the conjecture that biases influence elliptic curve zero distributions.
Abstract
We study one-parameter families of elliptic curves over , which are of the form , with non-constant -invariant. We define the \textsuperscript{th} moment of an elliptic curve to be , where is minus the number of solutions to . Rosen and Silverman showed biases in the first moment equal the rank of the Mordell-Weil group of rational solutions. Michel proved that . Based on several special families where computations can be done in closed form, Miller in his thesis conjectured that the largest lower-order term in the second moment that does not average to is on average negative. He further showed that such a negative bias has implications in the distribution of zeros of the elliptic curve -function near the central…
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Taxonomy
TopicsAlgebraic Geometry and Number Theory · Analytic Number Theory Research · Advanced Algebra and Geometry
