Article (Scientific journals)
The Probabilistic Method in Real Singularity Theory
Lerario, Antonio; STECCONI, Michele
2024In Arnold Mathematical Journal, 10 (3), p. 355 - 370
Peer reviewed
 

Files


Full Text
8-tpmrst.pdf
Author postprint (344.23 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Random polynomials; Real algebraic geometry; Singularity theory; Mathematics (all)
Abstract :
[en] We explain how to use the probabilistic method to prove the existence of real polynomial singularities with rich topology, i.e., with total Betti number of the maximal possible order. We show how similar ideas can be used to produce real algebraic projective hypersurfaces with a rich structure of umbilical points.
Disciplines :
Mathematics
Author, co-author :
Lerario, Antonio ;  Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy
STECCONI, Michele  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)
External co-authors :
yes
Language :
English
Title :
The Probabilistic Method in Real Singularity Theory
Publication date :
September 2024
Journal title :
Arnold Mathematical Journal
ISSN :
2199-6792
eISSN :
2199-6806
Publisher :
Springer Science and Business Media Deutschland GmbH
Volume :
10
Issue :
3
Pages :
355 - 370
Peer reviewed :
Peer reviewed
Funders :
Scuola Internazionale Superiore di Studi Avanzati - SISSA
Funding text :
The authors wish to thank R. Piene and B. Shapiro for interesting discussions and for bringing the problem to their attention. A. Lerario is supported by the Knuth and Alice Wallenberg Foundation. M. Stecconi was supported by the Luxembourg National Research Fund (Grant: 021/16236290/HDSA).Open access funding provided by Scuola Internazionale Superiore di Studi Avanzati - SISSA within the CRUI-CARE Agreement.
Available on ORBilu :
since 16 December 2025

Statistics


Number of views
17 (1 by Unilu)
Number of downloads
4 (0 by Unilu)

Scopus citations®
 
1
Scopus citations®
without self-citations
0
OpenCitations
 
0
OpenAlex citations
 
1

Bibliography


Similar publications



Contact ORBilu