Piotr Nayar
University of Warsaw
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Publication
Featured researches published by Piotr Nayar.
Siam Journal on Mathematical Analysis | 2012
Maciek D. Korzec; Piotr Nayar; Piotr Rybka
We study a sixth order Cahn--Hilliard type equation that arises as a model for the faceting of a growing surface. We show existence of global-in-time weak solutions in two space dimensions, assuming periodic boundary conditions. We also establish exponential-in-time a priori estimates on the
arXiv: Probability | 2013
Piotr Nayar; Tomasz Tkocz
H^3
Bernoulli | 2018
Naomi Feldheim; Arnaud Marsiglietti; Piotr Nayar; Jing Wang
norm of solutions. These bounds enable us to prove the uniqueness of weak solutions. We also show the regularizing effect of the equation on the data.
Annals of Probability | 2018
Alexandros Eskenazis; Piotr Nayar; Tomasz Tkocz
We give the counter-examples related to a Gaussian Brunn- Minkowski inequality and the (B) conjecture.
arXiv: Probability | 2017
Sergey G. Bobkov; Piotr Nayar; Prasad Tetali
We characterize the symmetric measures which satisfy the one dimensional convex infimum convolution inequality of Maurey. For these measures the tensorization argument yields the two level Talagrands concentration inequalities for their products and convex sets in
Stochastic Processes and their Applications | 2015
Ewa Damek; Rafał Latała; Piotr Nayar; Tomasz Tkocz
\mathbb{R}^n
arXiv: Functional Analysis | 2012
Piotr Nayar; Tomasz Tkocz
.
Lecture Notes in Mathematics | 2014
Piotr Nayar; Tomasz Tkocz
A symmetric random variable is called a Gaussian mixture if it has the same distribution as the product of two independent random variables, one being positive and the other a standard Gaussian random variable. Examples of Gaussian mixtures include random variables with densities proportional to
Studia Mathematica | 2016
Keith Ball; Piotr Nayar; Tomasz Tkocz
e^{-|t|^p}
Archive | 2013
Olivier Gu; Piotr Nayar; Tomasz Tkocz
and symmetric