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# Documents  Seppäläinen, Timo | enregistrements trouvés : 7

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## Variational formulas, Busemann functions, and fluctuation exponents for the corner growth model with exponential weights - Lecture 1 Seppäläinen, Timo | CIRM H

Post-edited

Research School;Mathematical Physics;Probability and Statistics

Variational formulas for limit shapes of directed last-passage percolation models. Connections of minimizing cocycles of the variational formulas to geodesics, Busemann functions, and stationary percolation.

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## Variational formulas, Busemann functions, and fluctuation exponents for the corner growth model with exponential weights - Lecture 2 Seppäläinen, Timo | CIRM H

Multi angle

Research School;Mathematical Physics;Probability and Statistics

Busemann functions for the two-dimensional corner growth model with exponential weights. Derivation of the stationary corner growth model and its use for calculating the limit shape and proving existence of Busemann functions.

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## Variational formulas, Busemann functions, and fluctuation exponents for the corner growth model with exponential weights - Lecture 3 Seppäläinen, Timo | CIRM H

Multi angle

Research School;Mathematical Physics;Probability and Statistics

Kardar-Parisi-Zhang fluctuation exponent for the last-passage value of the two-dimensional corner growth model with exponential weights. We sketch the proof of the fluctuation exponent for the stationary corner growth process, and if time permits indicate how the exponent is derived for the percolation process with i.i.d. weights.

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## The KPZ fixed point - Lecture 1 Remenik, Daniel | CIRM H

Multi angle

Research School;Mathematical Physics;Probability and Statistics

In these lectures I will present the recent construction of the KPZ fixed point, which is the scaling invariant Markov process conjectured to arise as the universal scaling limit of all models in the KPZ universality class, and which contains all the fluctuation behavior seen in the class.
In the first part of the minicourse I will describe this process and how it arises from a particular microscopic model, the totally asymmetric exclusion process (TASEP). Then I will present a Fredholm determinant formula for its distribution (at a fixed time) and show how all the main properties of the fixed point (including the Markov property, space and time regularity, symmetries and scaling invariance, and variational formulas) can be derived from the formula and the construction, and also how the formula reproduces known self-similar solutions such as the $Airy_1andAiry_2$ processes.
The second part of the course will be devoted to explaining how the KPZ fixed point can be computed starting from TASEP. The method is based on solving, for any initial condition, the biorthogonal ensemble representation for TASEP found by Sasamoto '05 and Borodin-Ferrari-Prähofer-Sasamoto '07. The resulting kernel involves transition probabilities of a random walk forced to hit a curve defined by the initial data, and in the KPZ 1:2:3 scaling limit the formula leads in a transparent way to a Fredholm determinant formula given in terms of analogous kernels based on Brownian motion.
Based on joint work with K. Matetski and J. Quastel.
In these lectures I will present the recent construction of the KPZ fixed point, which is the scaling invariant Markov process conjectured to arise as the universal scaling limit of all models in the KPZ universality class, and which contains all the fluctuation behavior seen in the class.
In the first part of the minicourse I will describe this process and how it arises from a particular microscopic model, the totally asymmetric exclusion ...

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## The KPZ fixed point - Lecture 2 Remenik, Daniel | CIRM H

Multi angle

Research School;Mathematical Physics;Probability and Statistics

In these lectures I will present the recent construction of the KPZ fixed point, which is the scaling invariant Markov process conjectured to arise as the universal scaling limit of all models in the KPZ universality class, and which contains all the fluctuation behavior seen in the class.
In the first part of the minicourse I will describe this process and how it arises from a particular microscopic model, the totally asymmetric exclusion process (TASEP). Then I will present a Fredholm determinant formula for its distribution (at a fixed time) and show how all the main properties of the fixed point (including the Markov property, space and time regularity, symmetries and scaling invariance, and variational formulas) can be derived from the formula and the construction, and also how the formula reproduces known self-similar solutions such as the $Airy_1andAiry_2$ processes.
The second part of the course will be devoted to explaining how the KPZ fixed point can be computed starting from TASEP. The method is based on solving, for any initial condition, the biorthogonal ensemble representation for TASEP found by Sasamoto '05 and Borodin-Ferrari-Prähofer-Sasamoto '07. The resulting kernel involves transition probabilities of a random walk forced to hit a curve defined by the initial data, and in the KPZ 1:2:3 scaling limit the formula leads in a transparent way to a Fredholm determinant formula given in terms of analogous kernels based on Brownian motion.
Based on joint work with K. Matetski and J. Quastel.
In these lectures I will present the recent construction of the KPZ fixed point, which is the scaling invariant Markov process conjectured to arise as the universal scaling limit of all models in the KPZ universality class, and which contains all the fluctuation behavior seen in the class.
In the first part of the minicourse I will describe this process and how it arises from a particular microscopic model, the totally asymmetric exclusion ...

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## A course on large deviations with an introduction to Gibbs measures Rassoul-Agha, Firas ; Seppäläinen, Timo | American Mathematical Society 2015

Ouvrage

- xiv; 318 p.
ISBN 978-0-8218-7578-0

Graduate studies in mathematics , 0162

Localisation : Collection 1er étage;Réserve

théorie des probabilités # théorie des grandes déviations # théorie de la mesure

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## Introduction to probability Anderson, David F. ; Seppäläinen, Timo ; Valko, Benedek | Cambridge University Press 2018

Ouvrage

- xv; 429 p.
ISBN 978-1-108-41585-9

Cambridge mathematical textbooks

Localisation : Ouvrage RdC (ANDE)

théorie des probabilités # variable aléatoire # approximation # distribution # transformée et transformation # exercices

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##### Codes MSC

Ressources Electroniques (Depuis le CIRM)

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