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SeqSee: A schema-based approach to spectral sequence visualization

Joey Beauvais-Feisthauer, Dan Isaksen · 2025 · math.AT · DOI 10.48550/arxiv.2501.18429 · arXiv 2501.18429

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abstract

We present SeqSee, a software system that addresses spectral sequence visualization through a schema-based approach. By introducing a standardized JSON schema as an intermediate representation, SeqSee decouples the mathematical computations of spectral sequences from their visualizations. We demonstrate the system through a case study of the classical and C-motivic Adams spectral sequences.

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math.AT 1

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2025 1

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CONDITIONAL 1

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The cohomology of $\mathbb{R}$-motivic $\mathcal{A}(2)$

math.AT · 2025-09-14 · conditional · novelty 7.0

The tri-graded additive cohomology of R-motivic A(2) is computed via a ρ-Bockstein spectral sequence (56 indecomposables), with the ring structure only partially determined.

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  • The cohomology of $\mathbb{R}$-motivic $\mathcal{A}(2)$ math.AT · 2025-09-14 · conditional · none · ref 1 · internal anchor

    The tri-graded additive cohomology of R-motivic A(2) is computed via a ρ-Bockstein spectral sequence (56 indecomposables), with the ring structure only partially determined.