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Dive into the research topics where Piotr Nayar is active.

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Featured researches published by Piotr Nayar.


Siam Journal on Mathematical Analysis | 2012

Global weak solutions to a sixth order Cahn-Hilliard type equation

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

A note on a Brunn-Minkowski inequality for the Gaussian measure

Piotr Nayar; Tomasz Tkocz

H^3


Bernoulli | 2018

A note on the convex infimum convolution inequality

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

Gaussian mixtures: Entropy and geometric inequalities

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

Concentration Properties of Restricted Measures with Applications to Non-Lipschitz Functions

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

Two-sided bounds for Lp-norms of combinations of products of independent random variables

Ewa Damek; Rafał Latała; Piotr Nayar; Tomasz Tkocz

\mathbb{R}^n


arXiv: Functional Analysis | 2012

On a Loomis–Whitney Type Inequality for Permutationally Invariant Unconditional Convex Bodies

Piotr Nayar; Tomasz Tkocz

.


Lecture Notes in Mathematics | 2014

A note on certain convolution operators

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

A reverse entropy power inequality for log-concave random vectors

Keith Ball; Piotr Nayar; Tomasz Tkocz

e^{-|t|^p}


Archive | 2013

Concentration inequalities and geometry of convex bodies

Olivier Gu; Piotr Nayar; Tomasz Tkocz

and symmetric

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Arnaud Marsiglietti

California Institute of Technology

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Maciek D. Korzec

Technical University of Berlin

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Barbara Pilat

Warsaw University of Technology

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Ewa Damek

University of Wrocław

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