The arithmetic-geometric mean and isogenies for curves of higher genus
Ron Donagi, Ron Livne

TL;DR
This paper extends the concept of the arithmetic-geometric mean to higher genus curves by explicitly constructing isogenies between their Jacobians, focusing on genus 3 and hyperelliptic cases, and analyzing the existence of such constructions.
Contribution
It provides the first explicit construction of genus 3 curve isogenies analogous to the AGM, including hyperelliptic cases, and demonstrates the non-existence for genus 4 and higher.
Findings
Constructed genus 3 curves with Jacobians isogenous to given curves.
Proved hyperelliptic genus 3 construction is a degeneration of the general case.
Showed no similar constructions exist for genus at least 4.
Abstract
Computation of Gauss's arithmetic-geometric mean involves iteration of a simple step, whose algebro-geometric interpretation is the construction of an elliptic curve isogenous to a given one, specifically one whose period is double the original period. A higher genus analogue should involve the explicit construction of a curve whose jacobian is isogenous to the jacobian of a given curve. The doubling of the period matrix means that the kernel of the isogeny should be a lagrangian subgroup of the group of points of order 2 in the jacobian. In genus 2 such a construction was given classically by Humbert and was studied more recently by Bost and Mestre. In this article we give such a construction for general curves of genus 3. We also give a similar but simpler construction for hyperelliptic curves of genus 3. We show that the hyperelliptic construction is a degeneration of the general…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAlgebraic Geometry and Number Theory · Nonlinear Waves and Solitons · Polynomial and algebraic computation
