Giambattista Giacomin – författare

Visar alla böcker från författaren Giambattista Giacomin. Handla med fri frakt och snabb leverans.

6 produkter

Kategorier

6 produkter

RANDOM POLYMER MODELS
AvGiambattista Giacomin
Inbunden, Engelska, 2007
1 540 kr
Skickas inom 5-8 vardagar
This volume introduces readers to the world of disordered systems and to some of the remarkable probabilistic techniques developed in the field. The author explores in depth a class of directed polymer models to which much attention has been devoted in the last 25 years, in particular in the fields of physical and biological sciences. The models treated have been widely used in studying, for example, the phenomena of polymer pinning on a defect line, the behavior of copolymers in proximity to an interface between selective solvents and the DNA denaturation transition. In spite of the apparent heterogeneity of this list, in mathematical terms, a unified vision emerges. One is in fact dealing with the natural statistical mechanics systems built on classical renewal sequences by introducing one-body potentials.This volume is also a self-contained mathematical account of the state of the art for this class of statistical mechanics models.Sample Chapter(s)
Del 282 - Springer Proceedings in Mathematics & Statistics
Stochastic Dynamics Out of Equilibrium
Institut Henri Poincaré, Paris, France, 2017
AvGiambattista Giacomin,Stefano Ollam. fl.
Inbunden, Engelska, 2019
2 203 kr
Skickas inom 10-15 vardagar
Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments.It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown.The trimester, held at the Institut Henri Poincaré (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics.The present volume is indispensable reading for researchers and Ph.D. students working in such areas.
Stochastic Dynamics Out of Equilibrium
Institut Henri Poincaré, Paris, France, 2017
AvGabriel Stoltz,Herbert Spohnm. fl.
E-bok
Engelska, 2019
2 833 kr
Läs direkt efter köp
Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments.
It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown.
The trimester, held at the Institut Henri Poincaré (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics.
The present volume is indispensable reading for researchers and Ph.D. students working in such areas.
Del 282 - Springer Proceedings in Mathematics & Statistics
Stochastic Dynamics Out of Equilibrium
Institut Henri Poincaré, Paris, France, 2017
AvGiambattista Giacomin,Stefano Ollam. fl.
Häftad, Engelska, 2020
2 203 kr
Skickas inom 10-15 vardagar
Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments.It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown.The trimester, held at the Institut Henri Poincaré (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics.The present volume is indispensable reading for researchers and Ph.D. students working in such areas.
Del 2025 - Lecture Notes in Mathematics
Disorder and Critical Phenomena Through Basic Probability Models
École d’Été de Probabilités de Saint-Flour XL – 2010
AvGiambattista Giacomin
Häftad, Engelska, 2011
397 kr
Skickas inom 10-15 vardagar
Understanding the effect of disorder on critical phenomena is a central issue in statistical mechanics. In probabilistic terms: what happens if we perturb a system exhibiting a phase transition by introducing a random environment? The physics community has approached this very broad question by aiming at general criteria that tell whether or not the addition of disorder changes the critical properties of a model: some of the predictions are truly striking and mathematically challenging. We approach this domain of ideas by focusing on a specific class of models, the "pinning models," for which a series of recent mathematical works has essentially put all the main predictions of the physics community on firm footing; in some cases, mathematicians have even gone beyond, settling a number of controversial issues. But the purpose of these notes, beyond treating the pinning models in full detail, is also to convey the gist, or at least the flavor, of the "overall picture," which is, in many respects, unfamiliar territory for mathematicians.
Disorder and Critical Phenomena Through Basic Probability Models
École d’Été de Probabilités de Saint-Flour XL – 2010
AvGiambattista Giacomin
E-bok
PDF, Engelska, 2011
510 kr
Läs direkt efter köp
Understanding the effect of disorder on critical phenomena is a central issue in statistical mechanics. In probabilistic terms: what happens if we perturb a system exhibiting a phase transition by introducing a random environment? The physics community has approached this very broad question by aiming at general criteria that tell whether or not the addition of disorder changes the critical properties of a model: some of the predictions are truly striking and mathematically challenging. We approach this domain of ideas by focusing on a specific class of models, the "pinning models," for which a series of recent mathematical works has essentially put all the main predictions of the physics community on firm footing; in some cases, mathematicians have even gone beyond, settling a number of controversial issues. But the purpose of these notes, beyond treating the pinning models in full detail, is also to convey the gist, or at least the flavor, of the "overall picture," which is, in many respects, unfamiliar territory for mathematicians.

Giambattista Giacomin – författare

Visar alla böcker från författaren Giambattista Giacomin. Handla med fri frakt och snabb leverans.

6 produkter

Kategorier

6 produkter

RANDOM POLYMER MODELS
AvGiambattista Giacomin
Inbunden, Engelska, 2007
1 540 kr
Skickas inom 5-8 vardagar
This volume introduces readers to the world of disordered systems and to some of the remarkable probabilistic techniques developed in the field. The author explores in depth a class of directed polymer models to which much attention has been devoted in the last 25 years, in particular in the fields of physical and biological sciences. The models treated have been widely used in studying, for example, the phenomena of polymer pinning on a defect line, the behavior of copolymers in proximity to an interface between selective solvents and the DNA denaturation transition. In spite of the apparent heterogeneity of this list, in mathematical terms, a unified vision emerges. One is in fact dealing with the natural statistical mechanics systems built on classical renewal sequences by introducing one-body potentials.This volume is also a self-contained mathematical account of the state of the art for this class of statistical mechanics models.Sample Chapter(s)
Del 282 - Springer Proceedings in Mathematics & Statistics
Stochastic Dynamics Out of Equilibrium
Institut Henri Poincaré, Paris, France, 2017
AvGiambattista Giacomin,Stefano Ollam. fl.
Inbunden, Engelska, 2019
2 203 kr
Skickas inom 10-15 vardagar
Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments.It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown.The trimester, held at the Institut Henri Poincaré (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics.The present volume is indispensable reading for researchers and Ph.D. students working in such areas.
Stochastic Dynamics Out of Equilibrium
Institut Henri Poincaré, Paris, France, 2017
AvGabriel Stoltz,Herbert Spohnm. fl.
E-bok
Engelska, 2019
2 833 kr
Läs direkt efter köp
Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments.
It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown.
The trimester, held at the Institut Henri Poincaré (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics.
The present volume is indispensable reading for researchers and Ph.D. students working in such areas.
Del 282 - Springer Proceedings in Mathematics & Statistics
Stochastic Dynamics Out of Equilibrium
Institut Henri Poincaré, Paris, France, 2017
AvGiambattista Giacomin,Stefano Ollam. fl.
Häftad, Engelska, 2020
2 203 kr
Skickas inom 10-15 vardagar
Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments.It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown.The trimester, held at the Institut Henri Poincaré (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics.The present volume is indispensable reading for researchers and Ph.D. students working in such areas.
Del 2025 - Lecture Notes in Mathematics
Disorder and Critical Phenomena Through Basic Probability Models
École d’Été de Probabilités de Saint-Flour XL – 2010
AvGiambattista Giacomin
Häftad, Engelska, 2011
397 kr
Skickas inom 10-15 vardagar
Understanding the effect of disorder on critical phenomena is a central issue in statistical mechanics. In probabilistic terms: what happens if we perturb a system exhibiting a phase transition by introducing a random environment? The physics community has approached this very broad question by aiming at general criteria that tell whether or not the addition of disorder changes the critical properties of a model: some of the predictions are truly striking and mathematically challenging. We approach this domain of ideas by focusing on a specific class of models, the "pinning models," for which a series of recent mathematical works has essentially put all the main predictions of the physics community on firm footing; in some cases, mathematicians have even gone beyond, settling a number of controversial issues. But the purpose of these notes, beyond treating the pinning models in full detail, is also to convey the gist, or at least the flavor, of the "overall picture," which is, in many respects, unfamiliar territory for mathematicians.
Disorder and Critical Phenomena Through Basic Probability Models
École d’Été de Probabilités de Saint-Flour XL – 2010
AvGiambattista Giacomin
E-bok
PDF, Engelska, 2011
510 kr
Läs direkt efter köp
Understanding the effect of disorder on critical phenomena is a central issue in statistical mechanics. In probabilistic terms: what happens if we perturb a system exhibiting a phase transition by introducing a random environment? The physics community has approached this very broad question by aiming at general criteria that tell whether or not the addition of disorder changes the critical properties of a model: some of the predictions are truly striking and mathematically challenging. We approach this domain of ideas by focusing on a specific class of models, the "pinning models," for which a series of recent mathematical works has essentially put all the main predictions of the physics community on firm footing; in some cases, mathematicians have even gone beyond, settling a number of controversial issues. But the purpose of these notes, beyond treating the pinning models in full detail, is also to convey the gist, or at least the flavor, of the "overall picture," which is, in many respects, unfamiliar territory for mathematicians.

Giambattista Giacomin – författare

RANDOM POLYMER MODELS

Stochastic Dynamics Out of Equilibrium

Stochastic Dynamics Out of Equilibrium

Stochastic Dynamics Out of Equilibrium

Disorder and Critical Phenomena Through Basic Probability Models

Disorder and Critical Phenomena Through Basic Probability Models

Giambattista Giacomin – författare

RANDOM POLYMER MODELS

Stochastic Dynamics Out of Equilibrium

Stochastic Dynamics Out of Equilibrium

Stochastic Dynamics Out of Equilibrium

Disorder and Critical Phenomena Through Basic Probability Models

Disorder and Critical Phenomena Through Basic Probability Models