Speciality: 01.01.01 (Real analysis, complex analysis, and functional analysis)
Phone: +8 (916) 587 10 34
E-mail:
Keywords: Measures on infinite dimensional spaces, Gaussian measures, logarithmically concave measures, measurable polynomial, polynomial random variables, Nikolskii--Besov classes, Besov spaces
UDC: 519.21, 519.213, 517.51, 517.518.2

Subject:

Measure theory, probability theory, infinite dimensional analysis

Main publications:

1. Egor Kosov, “Fractional smoothness of images of logarithmically concave measures under polynomials”, Journal of Mathematical Analysis and Applications, 462:1 (2018), 390–406
2. Vladimir I. Bogachev, Egor D. Kosov, Georgii I. Zelenov, “Fractional smoothness of distributions of polynomials and a fractional analog of the Hardy-Landau-Littlewood inequality”, Transactions of the American Mathematical Society, 370:6 (2018), 4401–4432
3. Egor D. Kosov, “Total Variation Distance Estimates via $L^2$-Norm for Polynomials in Log-concave Random Vectors”, International Mathematics Research Notices, 2021:21 (2021), 16492–16508

Recent publications

Presentations in Math-Net.Ru

Personal pages:

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Organisations:

• Centre de Recerca Matemàtica, Barcelona
• Steklov Mathematical Institute of Russian Academy of Sciences, Moscow
• Steklov International Mathematical Center
• Moscow Center for Fundamental and Applied Mathematics
• National Research University Higher School of Economics, Moscow
• Lomonosov Moscow State University, Faculty of Global Studies
• Lomonosov Moscow State University, Faculty of Mechanics and Mathematics