A remark on continuous K-theory and Fourier-Sato transformation

In this note, we prove a generalization of Efimov’s computation for the universal localizing invariant of categories of sheaves with certain microsupport constraints. The proof is based on certain categorical equivalences given by the Fourier-Sato transform, which is different from the original proof. As an application, we compute the universal localizing invariant of the category of almost quasi-coherent sheaves on the Novikov toric scheme introduced by Vaintrob [ <italic>Coherent-constructible correspondences and log-perfectoid mirror symmetry for the torus</italic> , 2017. Preprint, available at https://math.berkeley.edu/ vaintrob/toric.pdf].

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Publication Details

Journal
Proceedings of the American Mathematical Society
Published
2026-03-13
DOI
https://doi.org/10.1090/proc/17589
Primary Topic
Algebraic structures and combinatorial models
Type
article
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article

A remark on continuous K-theory and Fourier-Sato transformation

B. G. Zhang
Proceedings of the American Mathematical Society
Algebraic structures and combinatorial models
article

A remark on continuous K-theory and Fourier-Sato transformation

B. G. Zhang
article en

Abstract

In this note, we prove a generalization of Efimov’s computation for the universal localizing invariant of categories of sheaves with certain microsupport constraints. The proof is based on certain categorical equivalences given by the Fourier-Sato transform, which is different from the original proof. As an application, we compute the universal localizing invariant of the category of almost quasi-coherent sheaves on the Novikov toric scheme introduced by Vaintrob [ <italic>Coherent-constructible correspondences and log-perfectoid mirror symmetry for the torus</italic> , 2017. Preprint, available at https://math.berkeley.edu/ vaintrob/toric.pdf].

Proceedings of the American Mathematical Society
University of Southern Denmark (DK), Region of Southern Denmark (DK)
Openalex Percentile: Top 19%
Algebraic structures and combinatorial models
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