2022
DOI: 10.48550/arxiv.2203.12977
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

The singular support of sheaves is $γ$-coisotropic

Abstract: Introduction 2. Notation, comments and acknowledgements 3. Reminders on the singular support of sheaves 4. Quantization of Hamiltonian isotopies 5. Spectral invariants for sheaves and Lagrangians 5.1. Definition of spectral invariants 5.2. The case of Hamiltonian maps 5.3. Defining γ-coisotropic subsets 6. The γ g -metric on sheaves 6.1. The γ g -topology 6.2. Link with spectral invariants 6.3. γ g -limits and colimits 7. Proof of Theorem 1.2 8. γ-coisotropic vs cone-coisotropic 8.1. A γ-coisotropic set is con… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(5 citation statements)
references
References 19 publications
0
5
0
Order By: Relevance
“…This paper precedes, both logically and historically the papers [Vit22] and [GV22b] which are of course related.…”
Section: Comments and Acknowledgementsmentioning
confidence: 91%
See 3 more Smart Citations
“…This paper precedes, both logically and historically the papers [Vit22] and [GV22b] which are of course related.…”
Section: Comments and Acknowledgementsmentioning
confidence: 91%
“…It is an elementary fact that in both cases a smooth submanifold is Poisson coisitropic or cone coisotropic if and only if it is coisotropic in the usual sense. We shall prove in [GV22b] the first part of Proposition 7.10. For a subset V in (M , ω) we have the following implications…”
Section: Links With Other Notions Of Coisotropymentioning
confidence: 92%
See 2 more Smart Citations
“…Inspired by persistence theory from topological data analysis (TDA) [36,21], Kashiwara and Schapira have recently introduced the convolution distance between (derived) sheaves of k-vector spaces on a finite-dimensional real normed vector space [27]. This construction has found important applications, both in TDA -where it allows expressing stability of certain constructions with respect to noise in datasets - [6,9,7,8] and in symplectic topology [2,3,23]. A challenging research direction, of interest to these two fields, is to associate numerical invariants to a sheaf on a vector space, which satisfy a certain form of continuity with respect to the convolution distance.…”
Section: Introductionmentioning
confidence: 99%