Descent Spectral Sequences Through Synthetic Spectra

Abstract The synthetic analogue functor $\nu $ from spectra to synthetic spectra does not preserve all limits. In this paper, we give a necessary and sufficient criterion for $\nu $ to preserve the global sections of a derived stack. Even when these conditions are not satisfied, our framework still yields synthetic spectra that implement the descent spectral sequence for the structure sheaf, thus placing descent spectral sequences on good footing in the $\infty $-category of synthetic spectra. As an example, we introduce a new $\textrm{MU}$-synthetic spectrum $\textrm{Smf}$.

Authors

Institutions

Publication Details

Journal
International Mathematics Research Notices
Published
2025-07-14
DOI
https://doi.org/10.1093/imrn/rnaf216
Citations
1
Primary Topic
Molecular spectroscopy and chirality
Type
article
Field-Weighted Citation Impact
0.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Descent Spectral Sequences Through Synthetic Spectra

Christian Carrick, Jack Morgan Davies, Sven van Nigtevecht
1 citations
International Mathematics Research Notices
Molecular spectroscopy and chirality
0.76
article

Descent Spectral Sequences Through Synthetic Spectra

Christian Carrick, Jack Morgan Davies, Sven van Nigtevecht
article en
1 citations

Abstract

Abstract The synthetic analogue functor $\nu $ from spectra to synthetic spectra does not preserve all limits. In this paper, we give a necessary and sufficient criterion for $\nu $ to preserve the global sections of a derived stack. Even when these conditions are not satisfied, our framework still yields synthetic spectra that implement the descent spectral sequence for the structure sheaf, thus placing descent spectral sequences on good footing in the $\infty $-category of synthetic spectra. As an example, we introduce a new $\textrm{MU}$-synthetic spectrum $\textrm{Smf}$.

International Mathematics Research NoticesVol. 2025(15)
University of Bonn (DE), Utrecht University (NL)
Openalex Percentile: Top 28%
Molecular spectroscopy and chirality
0.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.