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Funktsional'nyi Analiz i ego Prilozheniya, 2003, Volume 37, Issue 2, Pages 52–64
DOI: https://doi.org/10.4213/faa148
(Mi faa148)
 

This article is cited in 10 scientific papers (total in 10 papers)

Resolution of Corank $1$ Singularities of a Generic Front

V. D. Sedykh

Gubkin Russian State University of Oil and Gas
References:
Abstract: We construct a resolution of singularities for wave fronts having only stable singularities of corank $1$. It is based on a transformation that takes a given front to a new front with singularities of the same type in a space of smaller dimension. This transformation is defined by the class $A_{\mu}$ of Legendre singularities. The front and the ambient space obtained by the $A_{\mu}$-transformation inherit topological information on the closure of the manifold of singularities $A_{\mu}$ of the original front. The resolution of every (reducible) singularity of a front is determined by a suitable iteration of $A_{\mu}$-transformations. As a corollary, we obtain new conditions for the coexistence of singularities of generic fronts.
Keywords: Legendre mapping, wave front, stable corank $1$ singularity, resolution of singularities, Euler number.
Received: 19.02.2002
English version:
Functional Analysis and Its Applications, 2003, Volume 37, Issue 2, Pages 123–133
DOI: https://doi.org/10.1023/A:1024456907021
Bibliographic databases:
Document Type: Article
UDC: 515.16
Language: Russian
Citation: V. D. Sedykh, “Resolution of Corank $1$ Singularities of a Generic Front”, Funktsional. Anal. i Prilozhen., 37:2 (2003), 52–64; Funct. Anal. Appl., 37:2 (2003), 123–133
Citation in format AMSBIB
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\paper Resolution of Corank $1$ Singularities of a Generic Front
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  • https://doi.org/10.4213/faa148
  • https://www.mathnet.ru/eng/faa/v37/i2/p52
  • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Функциональный анализ и его приложения Functional Analysis and Its Applications
     
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