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PreprintCC BY 4.0arXiv

Complete classification of $7$-adic Galois images for non-CM elliptic curves over Q

Abstract

We solve Conjecture 1.6 of Furio and Lombardo [On $7$-adic Galois representations for elliptic curves over Q, Proc.\ London Math.\ Soc.\ (3) \textbf{133} (2026), e70193.]. As a consequence, we complete the classification of $7$-adic Galois images for non-CM elliptic curves over Q. This is the first solved case in Problem 6.2 from Balakrishnan [\emph{Chabauty and beyond: Explicit p-adic methods for rational points}, Proceedings of the International Congress of Mathematicians 2026 - Volume 3: Invited Lectures (Sections 1-4), 321-341, 2026]. The proof is the result of a long AI-training period by the author from June 2026 to September 2026. The author has been working on this project alone without the help of any other.

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BibTeX
@misc{xuan2026complete,
  title = {{Complete classification of $7$-adic Galois images for non-CM elliptic curves over $\Q$}},
  author = {Tho Nguyen Xuan},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.35460},
  eprint = {2609.35460},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.35460},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Complete classification of $7$-adic Galois images for non-CM elliptic curves over Q
AU  - Tho Nguyen Xuan
PY  - 2026
DA  - 2026/09/29
PB  - arXiv
DO  - 10.48550/arxiv.2609.35460
UR  - https://arxiv.org/abs/2609.35460
AB  - We solve Conjecture 1.6 of Furio and Lombardo [On $7$-adic Galois representations for elliptic curves over Q, Proc.\ London Math.\ Soc.\ (3) \textbf{133} (2026), e70193.]. As a consequence, we complete the classification of $7$-adic Galois images for non-CM elliptic curves over Q. This is the first solved case in Problem 6.2 from Balakrishnan [\emph{Chabauty and beyond: Explicit p-adic methods for rational points}, Proceedings of the International Congress of Mathematicians 2026 - Volume 3: Invited Lectures (Sections 1-4), 321-341, 2026]. The proof is the result of a long AI-training period by the author from June 2026 to September 2026. The author has been working on this project alone without the help of any other.
ER  -