Generation and propagation of exponential weighted estimates to solutions of non-linear collisional equations Irene M. Gamba Department of Mathematics.

Slides:



Advertisements
Similar presentations
Time averages and ensemble averages
Advertisements

Extensions of the Kac N-particle model to multi-linear interactions Irene M. Gamba Department of Mathematics and ICES The University of Texas at Austin.
Spectral-Lagrangian solvers for non-linear non-conservative Boltzmann Transport Equations Irene M. Gamba Department of Mathematics and ICES The University.
The Kinetic Theory of Gases
Kinetics and Statistical Methods for Complex Particle Systems
Problemas Analíticos para la Ecuación de Boltzmann Analytical issues from the Boltzmann Transport Equation Irene M. Gamba The University of Texas at Austin.
R2-1 Physics I Review 2 Review Notes Exam 2. R2-2 Work.
Probability evolution for complex multi-linear non-local interactions Irene M. Gamba Department of Mathematics and ICES The University of Texas at Austin.
Chapter 16 Section 1 Kinetic Theory.
We’ve spent quite a bit of time learning about how the individual fundamental particles that compose the universe behave. Can we start with that “microscopic”
Evolution of statistical models of non-conservative particle interactions Irene M. Gamba Department of Mathematics and ICES The University of Texas at.
1 Lecture 6 Ideal gas in microcanonical ensemble. Entropy. Sackur-Tetrode formula. De Broglie wavelength. Chemical potential. Ideal gas in canonical ensemble.
Granular flows under the shear Hisao Hayakawa* & Kuniyasu Saitoh Dept. Phys. Kyoto Univ., JAPAN *
Thermo & Stat Mech - Spring 2006 Class 14 1 Thermodynamics and Statistical Mechanics Kinetic Theory of Gases.
Two Approaches to Multiphysics Modeling Sun, Yongqi FAU Erlangen-Nürnberg.
Viscosity. Average Speed The Maxwell-Boltzmann distribution is a function of the particle speed. The average speed follows from integration.  Spherical.
Edexcel A2 Physics Unit 5 : Chapter 1 : Thermal Physics
PTT 201/4 THERMODYNAMIC SEM 1 (2012/2013). Objectives Apply the second law of thermodynamics to processes. Define a new property called entropy to quantify.
Boundary-value problems of the Boltzmann equation: Asymptotic and numerical analyses (Part 1) Kazuo Aoki Dept. of Mech. Eng. and Sci. Kyoto University.
Spectral-Lagrangian solvers for non-linear Boltzmann type equations: numerics and analysis Irene M. Gamba Department of Mathematics and ICES The University.
Н-THEOREM and ENTROPY over BOLTZMANN and POINCARE Vedenyapin V.V., Adzhiev S.Z.
Constant-Volume Gas Thermometer
1 Thermal Physics Chapter Thermodynamics Concerned with the concepts of energy transfers between a system and its environment and the resulting.
Thermal Physics Thermal Physics is the study of temperature and heat and how they effect matter. Heat leads to change in internal energy which shows as.
The Kinetic-Molecular Theory of Gases
Anharmonic Effects. Any real crystal resists compression to a smaller volume than its equilibrium value more strongly than expansion to a larger volume.
Chapter 21: Molecules in motion
Ch 23 pp Lecture 3 – The Ideal Gas. What is temperature?
Chapter 21: Molecules in motion Diffusion: the migration of matter down a concentration gradient. Thermal conduction: the migration of energy down a temperature.
Analytical and numerical issues for non-conservative non-linear Boltzmann transport equation non-linear Boltzmann transport equation Irene M. Gamba Department.
Yoon kichul Department of Mechanical Engineering Seoul National University Multi-scale Heat Conduction.
Serge Andrianov Theory of Symplectic Formalism for Spin-Orbit Tracking Institute for Nuclear Physics Forschungszentrum Juelich Saint-Petersburg State University,
 We just discussed statistical mechanical principles which allow us to calculate the properties of a complex macroscopic system from its microscopic characteristics.
Extensions of the Kac N-particle model to multi-particle interactions Irene M. Gamba Department of Mathematics and ICES The University of Texas at Austin.
Lecture III Trapped gases in the classical regime Bilbao 2004.
Non linear problems with Fractional Diffusions Luis A. Caffarelli The University of Texas at Austin.
Transport Coefficients of Interacting Hadrons Anton Wiranata & Madappa Prakash (Advisor) Madappa Prakash (Advisor) Department of Physics and Astronomy.
PHYS-H406 – Nuclear Reactor Physics – Academic year CH.II: NEUTRON TRANSPORT INTRODUCTORY CONCEPTS ASSUMPTIONS NEUTRON DENSITY, FLUX, CURRENT.
Temperature and Kinetic Theory Atomic Theory of Matter Temperature and Thermometers Thermal Equilibrium and the Zeroth Law of Thermodynamics Thermal Expansion.
Ludwid Boltzmann 1844 – 1906 Contributions to Kinetic theory of gases Electromagnetism Thermodynamics Work in kinetic theory led to the branch of.
Chapter 10 Thermal Physics. Heat The exchange of energy between objects because of temperature differences is called heat Objects are in thermal contact.
Chapter 10 Thermal Physics. Thermal physics is the study of Temperature Heat How these affect matter.
Chapter 16 Kinetic Theory of Gases. Ideal gas model 2 1. Large number of molecules moving in random directions with random speeds. 2. The average separation.
Jumpin’ Jack Flash It’s a gas gas gas! Solids, Liquids and Gases and Gas Laws Chapter 7.
4/08/2014PHY 770 Spring Lecture 201 PHY Statistical Mechanics 12:00 * - 1:45 PM TR Olin 107 Instructor: Natalie Holzwarth (Olin 300) Course.
Lecture 3. Full statistical description of the system of N particles is given by the many particle distribution function: in the phase space of 6N dimensions.
Copyright © 2010 Pearson Education, Inc. Chapter 17 Phases and Phase Changes.
Lecture 4. Maxwell-Boltzman Distribution
A fresh look at hydrodynamics from fluctuation formulas Shin-ichi Sasa and Masato Itami 1.
The Behavior of Gases Chapter 14. Chapter 14: Terms to Know Compressibility Boyle’s law Charles’s law Gay-Lussac’s law Combined gas law Ideal gas constant.
General Physics 1 Hongqun Zhang The Department of Physics, Beijing Normal University June 2005.
Chapter 6 Applications of
Diffusion over potential barriers with colored noise
Dynamical correlations & transport coefficients
Generalizations to Boltzmann-Maxwell Interaction Dynamics
The University of Texas at Austin
Extended Surface Heat Transfer
4.6 Anharmonic Effects Any real crystal resists compression to a smaller volume than its equilibrium value more strongly than expansion due to a larger.
Non-Conservative Boltzmann equations Maxwell type models
Kinetic Theory.
Ch 2 - Kinetic Theory reinisch_
Theory and numerical approach in kinetic theory of gases (Part 1)
Dynamical correlations & transport coefficients
Kinetic Theory.
Energy dissipation and FDR violation
Dynamical correlations & transport coefficients
Kinetic Theory.
Biointelligence Laboratory, Seoul National University
Chapter 21: Molecules in motion
Presentation transcript:

Generation and propagation of exponential weighted estimates to solutions of non-linear collisional equations Irene M. Gamba Department of Mathematics and ICES The University of Texas at Austin Collaborators: A. Bobylev, Karlstad University. Ricardo Alonso, UT Austin-Rice University, Vlad Panferov, CSU, Northridge, CA, Cedric Villani, ENS Lyon, France. S. Harsha Tharkbushanam, ICES and PROS more recently J. Canizo, S. Mischler, C. Mouhot (Paris IV)

Statistical transport from collisional kinetic models Rarefied ideal gases-elastic:classical conservativeBoltzmann Transport eq. Rarefied ideal gases-elastic: classical conservative Boltzmann Transport eq. Energy dissipative phenomena: Gas of elastic or inelastic interacting systems in the presence of a thermostat with a fixed background temperature ө b or Rapid granular flow dynamics: (inelastic hard sphere interactions): homogeneous cooling states, randomly heated states, shear flows, shockwaves past wedges, etc. (Soft) condensed matter at nano scale: Bose-Einstein condensates models and charge transport in solids: current/voltage transport modeling semiconductor. Emerging applications from stochastic dynamics for multi-linear Maxwell type interactions : Multiplicatively Interactive Stochastic Processes: information percolation models, particle swarms in population dynamics,

‘v‘v ‘v*‘v* v v*v* C = number of particle in the box a = diameter of the spheres N=space dimension η elastic collision inelastic collision u.η the impact velocity i.e. enough intersitial space May be extended to multi-linear interactions

A general form statistical transport : The space-homogenous BTE with external heating sources Important examples from mathematical physics and social sciences: The term models external heating sources: background thermostat (linear collisions), thermal bath (diffusion) shear flow (friction), dynamically scaled long time limits (self-similar solutions). Inelastic Collision u’= (1-β) u + β |u| σ, with σ the direction of elastic post-collisional relative velocity ‘v‘v ‘v*‘v* v v*v* η inelastic collision

Exact energy identity for a Maxwell type interaction models Then f(v,t) → δ 0 as t → ∞ to a singular concentrated measure (unless there is ‘source’) self-similarity Current issues of interest regarding energy dissipation: Can one tell the shape or classify possible stationary states and their asymptotics, such as self-similarity? Non-Gaussian (or Maxwellian) statistics!

Reviewing inelastic properties INELASTIC Boltzmann collision term: No classical H-Theorem if e = constant < 1 It dissipates total energy for e < 1 by Jensen's inequality:  Inelasticity brings loss of micro reversibility time irreversibility  but keeps time irreversibility !!: That is, there are stationary states and, in some particular cases we can show stability to stationary and self-similar states (Multi-linear Maxwell molecule equations of collisional type and variable hard potentials for collisions with a background thermostat) NESS  However: Existence of NESS: Non Equilibrium Statistical States (stable stationary states are non-Gaussian pdf’s)

Non-Equilibrium Stationary Statistical States

Yes ? ( ARMA’09)

generation of moments estimates generation of exponentially weighted lower bound B. Wennberg~’98

Sharp Povzner estimates Summability of moments series VIII) Generation of exponential L 1- weighted estimates (Mouhot’06) and better tails ( Alonso,Canizo,IG and Mouhot in progress ) (JMPA’08) (JPS’04) ( I.G V.Panferov, c. Villani; ARMA’09 ) then

Key property: Summability of series of moments of BTE solutions

Sharp Povzner estimates: optimal control of weights in `average’ Angular Averaging Inequality: ( A.Bobylev, I.G., V.Panferov, JSP’04) and of γ ( rate of the intramolecular potentials )

with Our result extends the Bobylev-Povzner-type estimate (JSP'97) for d=3 and γ =1, (i.e. b( σ )=C) to d > 1 and kernels with monotone angular dependence on its symmetric part satisfying ** (I.G., V.Panferov C.Villani; ARMA’08 Elastic case: β=1 d-dimensions **

Corollary 2: In order to study the behavior of m p with p = ks/2 for a good choice of s, take moments of evolution forced equations:

for r and R depending on the initial mass m 0, energy bound m 1 and some high order moments m p 0 for some p ∗ > 1, depending on the 'heating' force coefficient. The choice of s is done by setting: (shown in the pure diffusion case and bounded angular section γ=1 and stationary state) Corollary: it is possible to choose s, such that So, in order to control z p+1/2 we need to divide by Γ(a(p+1/2) + b) and find a suitable value of a such that we can get control of a corresponding recursion inequality relation that produces a geometric growth control for z P

Then a careful choice of a = 4/3 and b < 1 cancels the coefficients for the two terms proportional to z p-1, and the right hand side term (from the gain term) is controlled by a constant!! Similarly for the other cases: diffusion with friction: s = 2. Self-similar (homogeneous cooling) s = 1 Shear flow: at least s = 1 but anisotropy is admissible, so other direction might decay faster. ∂tzp +∂tzp + Add the time derivative to compute the Corresponding evolution estimate

In the elastic case with no sources, for 0 < γ ≤ 1 and b(θ) integrable: Exponential moments propagation ( I.G. Panferov and Villani, arXiv’06, ARMA’09) (i.e. a=1 and s=2) moments of equation collision operator Loss op. Gain op. Bernoulli type eq. can also “create” moments (Desvillates 93 B. Wennberg~’98) or “generate”

In the elastic case, for 0 < γ ≤ 1 and b(θ)integrable: Propagation and generation estimates 1.Same argument holds for controlling moments of the derivatives of f(t,v) by iterative methods ( R. Alonso &I.G. JMPA’08) Elastic collisions with a cold thermostat 2.SS solutions to Elastic collisions with a cold thermostat for the choice of a= γ /2 and s= γ and existence (Alonso, Canizo, IG, Mischler, Mouhot, in preparation ) Generation 3. Generation of moments for a= γ /4 and s= γ /2 (Mouhot JSP’06) for initial data with only 2+ moments generation 4. Improvement in moments generation by taking a=a(t, γ) to s=γ (Alonso, Canizo, IG, and Mouhot, in preparation ) (i.e. a=1 and s=2) but uniform in t !  for r and R depending on the initial mass m 0, energy bound m 1 and some high order moments m p 0 for some p ∗ > 1, but uniform in t !  Summability of the series of moments is uniform intime  Summability of the series of moments is uniform intime  Propagation of exponential moments Propagation of exponential moments

( IG, Vlad Panferov, Cedric Villani, arXiv.org’06 - ARMA’08, and R. Alonso and I.G- JMPA’08 ) Upper point-wise uniform bounds for large energy tails for elastic hard spheres or γ-variable potentials in d-dimensions Comparison principle Comparison principle: Q is multi-linear, symmetric, conservative, and L 1 -contractive for its linear restriction ( Crandall & Tartar ’80, also Vandenjapin & Bobylev 75, Kaniel & Shimbrot ’84, Lions ’94 ) Remark: it also works in the space inhomogeneous case. STRATEGY : Find a comparison theorem & construct a suitable barrier function ⇒ Compare to obtain point-wise bounds: and

Crucial point:

barrier probability distribution In order to find the barrier probability distribution: we need key estimate That can be obtain by the following key estimate:

Carleman integral representation Tool: Carleman integral representation of

Remark: these propagation properties in L 1 and L ∞ Maxwellians weighted norms also hold for all the derivatives if initial data have all derivatives under such control ( Ricardo Alonso and I.G.; ): we use iterative arguments.

Estimates for Existence theory: Average angular estimates & weighted Young’s inequalities R. Alonso and E. Carneiro’08, and R. Alonso and E. Carneiro, IG, 08 with Angular average inequality

These two constants C depends linearly of the expression given above for the constant of the angular averaging lemma Young’s inequality for variable hard potentials : 1 ≥ ≥ 0 Young’s inequality for variable hard potentials : 1 ≥ λ ≥ 0 Hardy-Littlewood-Sobolev type inequality for soft potentials : 0 > ≥ -n Hardy-Littlewood-Sobolev type inequality for soft potentials : 0 > λ ≥ -n

by spectral-Lagrangian based methods for non Conservative energy ( IG,H.Tharkabhushanam, JCP’09

Maxwell Molecules model Rescaling of spectral modes exponentially by the continuous spectrum with λ(1)=-2/3 Testing: BTE with (Gaussian) hot and (singular) cold Thermostat explicit solution problem of asymptotics of same mass particles mixture

Moments calculations: Explicit solutions problem IG & Bobylev and I.G., JSP06 Testing: BTE with cold Thermostat Rescaling time by the Kinetic energy And velocity with the corresponding thermal Speed  Moments of order q ≥ 1.5 will become unbounded in time

Recent work related to the problem: Cercignani'95(inelastic BTE derivation); Bobylev, JSP 97 (elastic,hard spheres in 3 d: propagation of L 1 -exponential estimates ); Bobylev, Carrillo and I.M.G., JSP'00 (inelastic Maxwell type interactions- self similarity- mean field); Bobylev, Cercignani, and with Toscani, JSP '02 &'03 (inelastic Maxwell type interactions); Bobylev, I.M.G, V.Panferov, C.Villani, JSP'04, CMP’04 (inelastic + heat sources); Mischler and Mouhout, Rodriguez Ricart JSP '06 (inelastic + self-similar hard spheres); Bobylev and I.M.G. JSP'06 (Maxwell type interactions-inelastic/elastic + thermostat), Bobylev, Cercignani and I.M.G arXiv.org,06 (CMP’09); (generalized multi-linear Maxwell type interactions- inelastic/elastic: global energy dissipation) I.M.G, V.Panferov, C.Villani, arXiv.org’07, ARMA’09 (elastic n-dimensional variable hard potentials Grad cut-off:: propagation of L 1 and L ∞- exponential estimates) C. Mouhot, CMP’06 (elastic, VHP, bounded angular cross section: creation of L 1 -exponential ) R. Alonso and I.M.G., JMPA’08 (Grad cut-off, propagation of regularity bounds-elastic d-dim VHP) I.M.G. and Harsha Tarskabhushanam JCP’08(spectral-lagrangian solvers-computation of singulatities) R.Alonso, E.Carneiro (ArXiv.org08)(Young’s inequality for collisional integrals with integrable (grad cut-off) angular cross section) R.Alonso, E.Carneiro, I.M.G. ArXiv.org09 (weigthed Young’s inequality and Hardy Sobolev’s inequalities for collisional integrals with integrable (grad cut-fff)angular cross section) R. Alonso and I.M.G. ArXiv.org09, (Distributional and classical solutions to the Cauchy Boltzmann problem for soft potentials with integrable angular cross section) Alonso, Canizo, I.M.G.,Mischler, Mouhot, in preparation (The homogeneous Boltzmann eqaution with a cold thermostat for variable hard potentials) Alonso, Canizo, I.M.G., Mouhot, in preparation (sharper decay for moments creation estimates for variable hard potentials)

For recent preprints and reprints see: and references therein Thank you very much for your attention! Comments:. Tails are important to understand evolution of moments (well known….!!!) They depend on the rate of collision as a function of velocity. (Decay rates to equilibrium states depend on the angular cross section as one can get exact and best constant depending on b(θ) ) Tails control methods to space inhomogeneous problems: may lead to local in x-space, global in v-space contrl of the solution BTE, …. but we do not how to do it yet… The use of Young and Hardy Littlewood Sobolev type of inequalities allows to revisit and/or extend the existence and regularity results of the space inhomogeneous BTE with soft potentials and angular cross sections that are just integrable (Grad cut-off assumption), with data between near two different Mawellians. Need to adjust hydrodynamic limits for non conservative phenomena: Hydrodynamic limits with energy dissipation lack of exact/local closure formulas- macroscopic equations may not have an accurate closed form.