The applications of Complexity Theory and Tsallis Non-extensive Statistics at Space Plasma Dynamics
|
|
- Brent Floyd
- 5 years ago
- Views:
Transcription
1 The applications of Complexity Theory and Tsallis Non-extensive Statistics at Space Plasma Dynamics Thessaloniki, Greece Thusday George P. Pavlos Democritus University of Thrace Department of Electrical and Computer Engineering Xanthi, Greece
2 DRIVEN SYSTEMS (LOADING - UNLOADING) Solar Dynamics Description of Sun s Interior Input (Solar Radiation) Driven System (Photosphere) SunSpots Prominence Flares Description of Sun s Photosphere
3 Solar Wind
4 Complexity Theory Entropy Principle = W = max n k S q q min 1 = = = q q q q q Z n TS U F β 1 1 = = q p k p n p k S q i i q i q i q q q q q opt Z e Z q P Ε = Ε = β β 1/1 ] ) (1 [1 Ε = β Z q e q F q (Free energy) = minimum => Nonequilibrium stationary states (NESS) q=1 => Boltzman Gibbs Theory Tsallis Non-extensive Statistical Mechanics Nonequilibrium self-organization
5 THEORETICAL CONCEPTS Near Thermodynamic Equilibrium Linear Dynamics Euclidean Geometry-Topology Smooth Functions Smooth differential Equations Normal derivatives-integrals Far from Thermodynamic Equilibrium Non-Linear Dynamics Fractal Geometry -singular functions Fractional differential-integral equations MHD Vlason-Blotzman theory Normal diffusion-brownian motion Gaussian statistics-dynamics Normal Langevin-FP equations Extensive statistics BG entropy Infinite dimensional noise White-colored noise Normal Central Limit Theorem (CLT) Fractional MHD theory Anomalous diffusion motion Strange Kinetics Non-Gaussian statistics-dynamics Fractional Langevin-FP equations Non-Extensive statistics Extremization of Tsallis entropy q-extended CLT Intermittent turbulence Normal Liouville theory Locality in space and time Separation of time-spatial scales Microscopic-macroscopic locality Equilibrium RG Fractional Liouville theory (multi)fractal Topology Power laws mulitscale processes Memory long range correlations Nonlocality in space and time Non-Equilibrium RG
6 Renormalization Group Theory (RGT) (Chang, 1992) ϕ t i i (,, ) (, ) = f t + n t Non-Equilibrium Non-linear Space Plasma Physics φx i x i = 1, 2,... Generalized Langevin Stochastic Equation P ( φ( x, t) ) = { } ( ) exp (,, ) D x i L φφx dx dt Random Field Distribution Function Plasma System Stochastic Lagrangian Scale Invariance - RGT - Fixed Points (SOC, Chaos, Intermittency etc.) L/ l = RL L'/ dl = R L' dp / dl = Σ( R ) P ' ' m L mn n L L'( l) =Σ V( lu ) =ΣV exp( λ lu ) ή k k k0 k k Non-equilibrium Non-extensive Random Field Theory (Partition Function Theory)
7 x Dynamical Bifurcation dx / dt = f ( x, λ) Non Linear Dynamics (A) Gaussian Equilibrium Critical States Equilibrium Phase Transition Power Laws Α Β (B) Self-Organization Structure Dissipative Structures Long Range Correlations C F C Β Α λ(i) λ Critical Points Bifurcation Points (C) Spatiotemporal Chaos Strange Dynamics (Attractors) Levy Processes Scale Invariance Intermittent Turbulence Tsallis Entropy Fractal Topology Anomalous Diffussion
8 Poincare Section of Phase Space Intermittency in Phase Space Stochastic Sea Fractal Set (Island, Cantori) Trapping Stickiness Levy flights Lyapunov Exponents 0 Strange Topology Strange Dynamics Scale Invariance (RGT) Levy Distribution Anomalous Diffusion
9 Basic Space Plasma Theory BBGKY Hierarchy Boltzmann - Vlassov, MHD Theory Scale Invariance - Singularities α 1 τ = λτ t = λ = 1 /3 ht t λ α /3 = = b = λ b α /3 h u λ u λ u Fractional Extension Fractional Real - Space Derivative Fractional Time Derivative x β β i β r 2β r f 1, = Γ 1 ( t r ) r β β r 2β 2β e ˆ i dx ( β ) x ( x x ) i, k i x i δ β, k β i Riesz Weyl operator x i i β i i i 2β x x β i Levy flights Levy walks Power Law distribution 1 ( ) = 1 2 ϕ + β β k f ( t, r ) t a f ( t, r ) = Γ 1 m dr m ( m a) t ( t r) Riemann Liouville operator t 0 1+ a m Fractal time random walks (FTRW) Fractal active time (Cantor set) f ( t, r ) 1 a r persistent (super-diffusive) process 0 a 1 anti-persistent (sub-diffusive) process Waiting time Power Law distribution φ 1 r ( r ) ~ 1+ a
10 FRACTIONAL KINETIC EQUATION (FRACTIONAL FOKKER PLANCK KOLMOGOROV EQUATION) Zaslavsky G.M., Chaos, fractional kinetics, and anomalous transport, Physics Reports 371, , 2002.
11 Mean square displacement Normal Anomalous Diffusion < x 2 µ 2H ( t) > Dt = Dt, 0 H 1 β ds 2 µ =, 1 µ 2 α = df = 2 + θ < (Non Gaussian dynamics) µ = 2H, d s =spectral fractal dimension θ=connectivity index d f = Hausdorff fractal dimension of space H=Hurst exponent d w =1/H=fractal dimension of trajectories µ = 1, H = 1/2, dw = 2 Normal diffusion (Gaussian dynamics) μ={competition between FTRW Levy process} θ > 0, μ < 1 subdiffusion µ 1, θ < 0, μ > 1 superdiffusion
12 Fractional Solar Plasma (1999,2004) Solar Photosphere Magnetic Flux - Fractal Distribution Solar Wind Fracton Theory Intermittent Turbulence
13 Turbulence Intermittent Turbulence Uriel Frisch Turbulence (The Legacy of A.N. Kolmogorov) Eddies Transformation mother eddy daughters Space filling Cascade over Energy dissipation (K41)
14 Uriel Frisch Turbulence (The Legacy of A.N. Kolmogorov) mother eddy daughters β-model cascade (eddies without space filling) (β-model) Brownian self similarity (probability density) p-model
15 Multifractal intermittency velocity structure Uriel Frisch Turbulence (The Legacy of A.N. Kolmogorov) Bifractal β Model singularity manifold fractal set-fractal dimension bifractal model singular exponent multiscaling exponents spectrum
16 Multifractal β model Uriel Frisch Turbulence (The Legacy of A.N. Kolmogorov) Legendre transformation Legendre transform
17 Multifractal Intermittent Energy Dissipation Velocity Energy Dissipation Multifractal Structures Space time scale envariance Intermittent vortex filaments. Three dimensional turbulence simulation
18 Multifractal Theory Theiler J., Vol. 7, No. 6/June 1990/J. Opt. Soc. Am. A, 1055 generalized dimensions most-dence points least-dence points Information entropy Information dimension Rényi entropy
19 Multifractal Theory Theiler J., Vol. 7, No. 6/June 1990/J. Opt. Soc. Am. A, 1055
20 Tsallis Extension of Statistics Nonextensive Statistical Mechanics Microscopic Level Macroscopic Level Quantum Complexity Quantum Phase Transition (Q.P.T.) Equilibrium Phase Transition (E.P.T.) Non Equilibrium Phase Transition (N.E.P.T.)
21 Tsallis Theory Nonextensive Statistical Mechanics Generalized Fokker-Planck Equations Levy Distribution q-gaussian Distribution
22 q-extension of thermodynamics Z q q q( Ei Vq) e β q conf = q β = β / p β = 1/ KT conf i q q E pe/ p = U q conf i i i q conf q-extension of central limit theorem q-independent random variables 1 F U TS = ln qz β 1 Sq U q = ln qzq, = β T U q q q q δ U F Cq T = = T T T T 2 q q q 2 q
23 q-triplet Tsallis One-Dimensional Systems (Timeseries) q rel q ent =q sen q stat S q t
24 The q-triplet of Tsallis q - CLT (q k-1, q k, q k+1 )= qstat, qrel, qsen) Gaussian-BG equilibrium (qstat=qsen=qrel=1) Nonequilibrium (qstat, qsen, qrel) (qstat, qsen, qrel) Equilibrium PDF Metaequilibrium PDF (qstat) Equilibrium BG entropy production Metaequilibrium q-entropy production (qsen) Equilibrium relaxation process Metaequilibrium nonextensive relaxation process (qrel)
25 Intermittent Turbulence Tsallis Theory fd( a) = aq ( q 1)( Dq d + 1) + d 1 d a = [( q 1)( Dq d + 1)] dq f ( a) = aq τ ( q), d d a = [( q 1) Dq ] ( q) dq = dq τ q = Fractal dissipation of Energy n ε df ( a) da ~ ε α 1 ( l ) 0 l n / n q d ( q 1) Dn τ ( q) nln ~ ln ln 0 ε = dn d ( ) ( α ) ~ l f n α d α Tsallis Entropy Extremization - Singular Spectrum ( a a0) 1 q q Pa ( ) = Z [1 (1 q) ] 2X ln 2 2 ( a a ) f( a) = D0 + log 2[1 (1 q) o ] / (1 q) 2X ln 2 2 2Xq τ ( q) = qa 1 [1 log (1 Cq )] 1+ C 1 q + aq a0 = (1 Cq ) / [ q(1 q) ln 2] = 1 q a a q + Intermittence Turbulence Spectrum n Sp( l ) =< δu p n > p J( p) = 1 + τ ( q = ) 3 2 ap 0 2Xp 1 J( p) = [1 log 2 (1 + Cp/3 )] 3 q(1+ C 1 q p/3 p J p = + T p + T p 3 ( u) ( F) ( ) ( ) ( ) 1
26 FLOW CHART OF NON LINEAR ANALYSIS UNKNOWN Local Data = Timeseries Law of Internal Dynamics dx = FX ( ( t), u ( t), λ, wt ( )) dt Reconstructed Phase Space SVD analysis Dynamic Degrees of Freedom Dynamic Instability Strange Dynamics Fractal Topology - Percolation Chaos SOC - Turbulence Phenomenological Characteristics Time Frequency Domain Non-extensive Statistics (q-triplet Tsallis) Linearity Non-Linearity - Noise Non-Linear Prediction Models Spatiotemporal Modeling
27 CHAOTIC ALGORITHM Takens Theorem (1981) State Space Reconstruction ORIGINAL STATE SPACE EMBEDDING RECONSTRUCTED STATE SPACE The Chaotic Algorithm is based in proficient mathematical concepts: Embedding theory, metrics, fractals, multiple manifolds, probability information theory, dynamical systems and maps Notes: D. Kugiumtzis, AUTH TIME SERIES m small, self-cutting m big, noise Autocorrelatrion Mutual Information
28 I. Analysis in the time-frequency domain COMPLEXITY AND TIME SERIES ANALYSIS Autocorrelation and Power Spectrum (noise-chaoticity) Mutual Information (Nonlinear Correlations) Flatness Coefficient (F) (Gaussian non-gaussian proccess) Hurst Exponent (temporal fractality singularities, persistence anti persistence, normal anomalous diffusion structure function (normal intermittent turbulence, singularity spectrum (h, D(h)) q-entropy production (S q ) II. Fractal geometry and fractional dynamics Singularity spectrum (a, f(a)) Generalized Spectrum ( qdq, ( )) P model (multiplicative process) Probability distribution function (Tsallis distributions) q-extension of CLT and Tsallis q-triplet parameters (q sen, q rel, q stat ) Tsallis modeling of non-equilibrium stationary states (NESS) III. Low dimensionality and Nonlinearity Correlation Dimension of reconstructed phase space and existence of strange attractor. Strange Dynamics and sensitivity of initial conditions (Lyapunov exponents spectrum) Discrimination of stochasticity and nonlinear randomnicity - chaoticity Discrimination of dynamical components
29 Synopsis Chaotic Analysis Dimensional Analysis Statistical Analysis Turbulence Analysis
30 Sunspot
31 Sunspot Index (Original SVD Component)
32 Sunspot Index (Correlation Dimension & Lyapunov Exponent) Correlation Dimension Lyapunov Spectrum Exponents
33 Sunspot Index (Tsallis Statistics) Sunspot TMS - qstat=1.53 ±0.04 V1 SVD Component - qstat=1.40 ±0.08 V2-10 SVD Component - qstat=2.12 ±0.20 Sunspot TMS TMS - qsen=0.368 V1 SVD Component - qsen= V2-10 SVD Component qsen=0.407 Δα= Δα= Δα= 1.940
34 Sunspot Index (Turbulence Analysis)
35 Sunspot Index (Parameters, Generalized Hurst Exponent & Entropy Production) Sunspot TMS V1 Comp. V2-10 Comp. Sunspot TMS V1 Comp. V2-10 Comp. Sunspot TMS V1 Comp. V2-10 Comp. Sunspot TMS V1 Comp. V2-10 Comp. Sunspot TMS V1 Comp. V2-10 Comp. Sunspot TMS V1 Comp. V2-10 Comp.
36 Solar Flares
37 Solar Flares Index (Original SVD Components)
38 Solar Flares Index (Correlation Dimension & Lyapunov Exponent) Correlation Dimension Lyapunov Spectrum Exponents
39 Solar Flares Index (Tsallis Statistics) Solar Flare TMS - qstat=1.87 ±0.05 V1 SVD Component - qstat=1.28 ±0.04 V2-15 SVD Component - qstat=2.02 ±0.15 Solar Flare TMS - qsen=0.308 V1 SVD Component - qsen= V2-15 SVD Component qsen=0.192 Δα= 2.15 q relaxation 9.333±0.395 Δα= 9.849± ±0.086 Δα= 1.37
40 Solar Flares Index (Turbulence Analysis)
41 Solar Flares Index (Parameters, Generalized Hurst Exponent & Entropy Production) Flares V1 Comp. V2-15 Comp. Flares V1 Comp. V2-15 Comp. Flares V1 Comp. V2-15 Comp. Flares V1 Comp. V2-15 Comp. V1 V2 V3 V4 V5 Flares V1 Comp. V2-15 Comp.
42 Solar Flares Event 1 X-rays intensity Power Spectrum
43 Solar Flares Event 1 (Chaotic Analysis) Correlation Dimension Lyapunov Spectrum Exponents CALM (m=10) SHOCK (m=7) DECAY(m=10) L1 maximum > L L L L Voltera Weiner Model
44 Solar Flares Event 2 (Statistical Analysis) X-rays intensity
45 Solar Flares Event 2 (Tsallis Statistics) Calm- qstat=1.04±0.02 Shock- qstat=1.43±0.05 Decay- qstat=1.08±0.02 Calm - qsen= Shock - qsen=0.376 Decay - qsen= Δ(α)= Δ(α)= Δ(α)= Calm Δ(Dq)=0.141 Shock Δ(Dq) =0.738 Decay Δ(Dq) =0.148
46 Solar Flares Event 2 (Parameters) Calm Shock Decay Calm Shock Decay Calm Shock Decay Calm Shock Decay Calm Shock Decay Calm Shock Decay
47 Solar Flares Event 2 (Turbulence Analysis)
48 Solar Energetic Particle Interplanetary Space
49 Interplanetary Observations (CME 7 March 2012) (Re -2,5) (Re -59,5)
50 Solar Energetic Particles
51 Solar Energetic Particle (Generalized Hurst Exponent & Entropy Production)
52 Solar Energetic Particle (Tsallis Statistics) Period 1 - qstat=1.08 ±0.03 Period 2- qstat=1.18 ±0.03 Period 3 - qstat=1.57 ±0.08 Period 4 - qstat=1.11 ±0.05
53 Solar Energetic Particle (Multifractal Spectrum) Period 1 - qsen= Period 2 - qsen= Period 3 - qsen=0.427 Period 4 - qsen= Δα=0.251 Δα=0.653 Δα=1.483 Δα=0.388 Period 1 - ΔDq=0.155 Period 2 - ΔDq =0.556 Period 3 - ΔDq =1.371 Period 4 - ΔDq =0.287 p-model=0.546 p-model=0.612 p-model=0.753 p-model=0.566
54 Solar Energetic Particle (Parameters) Phase Transition through Tsallis q-triplet Phase Transition through Multifractal Structure and p-model values
55 ACE/MAG Project - Solar Wind (Magnetic Field)
56 Solar Wind Magnetic Field (q-stationary & q-relaxation) Calm - qstat= 1.38 ±0.04 Shock - qstat=1.74 ±0.05 ICME - qstat = 1.17 ±0.02 Calm - qrel = Shock - qrel=5.74 ICME - qrel = 11.12
57 Solar Wind Magnetic Field (Multifractal Spectrum) Calm - qsen= Shock - qsen=0.117 ICME - qsen= Δα=0.679 Δα=1.057 Δα=0.227 f(α) f(α) f(α) α α α Calm - ΔDq=0.579 Shock - ΔDq =0.967 ICME - ΔDq =0.131 p-model=0.616 p-model=0.677 p-model=0.539
58 Sola Wind Magnetic Field (Parameters) Phase Transition through Tsallis q-triplet Phase Transition through Multifractal Structure and p-model values
59 Interplanetary Solar Magnetic Field (Re -2,5) (Re -59,5) ACE CLUSTER THEMIS-E THEMIS-C (B total ) (B total ) (B total ) (B total ) q stationary (CALM) 1.37 ± ± ± ± 0.06 q stationary (SHOCK) 1.74 ± ± ± ± 0.06
60 Solar Wind (High Time Resolution Ion Fluxes) Photo of BMSW instrument (Fast Monitor of the Solar Wind) and Typical SPECTR-R orbits evolution relative the Earth s magnetosphere in October 2011.
61 Solar Wind Ion Fluxes
62 Solar Wind Ion Fluxes (Chaotic Analysis) Time Series Power Spectrum Correlation Dimension Lyapunov Spectrum Exponents
63 Solar Wind Ion Fluxes (Tsallis Statistics) Calm - qstat= 1.37 ±0.05 Shock - qstat = 1.61±0.03 Calm - qsen= Δα=0.753 Shock - qsen=0.268 Δα=1.205 Calm - ΔDq=0.431 Shock - ΔDq =0.871
64 Solar Wind Ion Fluxes (Turbulence Analysis)
65 Magnetosphere July 2004 GEOTAIL Orbit
66 Magnetosphere July 2004 Bz Component Ex Component
67 Summarize parameter values of non-extensive statistics in Solar Plasmas The q-triplet (q_sen, q_stat, q_rel) of Tsallis. System q_sen q_stat q_rel (C(τ)) Solar Wind (Bz cloud) 0.484± ± ±2.31 Solar (Sunspot Index) 0.368± ± ±0.13 Solar (Flares Index) 0.308± ± ±0.22 Solar (Protons) ± ± ±0.23 Solar (Electrons) 0.860± ± ±0.22 Cosmic Stars (Brigthness) ± ± ±0.58 Cosmic Ray (C) ± ± ±18.43
68 Conclusions Everywhere in Solar plasma we have confirmed the following: Tsallis Sq entropy and non extensivity Nonequillibrium stationary states (NESS) Nonequillibrium topological phase transition processes Multifractal intermittent turbulence Anomalous diffusion Multiplicative processes Low Dimensional Chaos and/or SOC. These experimental results are concluded theoretically by: Strange Dynamics Fractal extension of MHD theory Fractional extension of magnetized plasmas Langevin and Fokker Planck equations Nonequillibrium Percolation Theory
69 THANK YOU for your attention
Tsallis non - Extensive statistics, intermittent turbulence, SOC and chaos in the solar plasma. Part two: Solar Flares dynamics
Tsallis non - Extensive statistics, intermittent turbulence, SOC and chaos in the solar plasma. Part two: Solar Flares dynamics L.P. Karakatsanis [1], G.P. Pavlos [1] M.N. Xenakis [2] [1] Department of
More informationFrom time series to superstatistics
From time series to superstatistics Christian Beck School of Mathematical Sciences, Queen Mary, University of London, Mile End Road, London E 4NS, United Kingdom Ezechiel G. D. Cohen The Rockefeller University,
More informationarxiv:cond-mat/ v1 8 Jan 2004
Multifractality and nonextensivity at the edge of chaos of unimodal maps E. Mayoral and A. Robledo arxiv:cond-mat/0401128 v1 8 Jan 2004 Instituto de Física, Universidad Nacional Autónoma de México, Apartado
More informationWeak chaos, infinite ergodic theory, and anomalous diffusion
Weak chaos, infinite ergodic theory, and anomalous diffusion Rainer Klages Queen Mary University of London, School of Mathematical Sciences Marseille, CCT11, 24 May 2011 Weak chaos, infinite ergodic theory,
More informationAnomalous Lévy diffusion: From the flight of an albatross to optical lattices. Eric Lutz Abteilung für Quantenphysik, Universität Ulm
Anomalous Lévy diffusion: From the flight of an albatross to optical lattices Eric Lutz Abteilung für Quantenphysik, Universität Ulm Outline 1 Lévy distributions Broad distributions Central limit theorem
More informationStochastic equations for thermodynamics
J. Chem. Soc., Faraday Trans. 93 (1997) 1751-1753 [arxiv 1503.09171] Stochastic equations for thermodynamics Roumen Tsekov Department of Physical Chemistry, University of Sofia, 1164 Sofia, ulgaria The
More informationIntermittency, Fractals, and β-model
Intermittency, Fractals, and β-model Lecture by Prof. P. H. Diamond, note by Rongjie Hong I. INTRODUCTION An essential assumption of Kolmogorov 1941 theory is that eddies of any generation are space filling
More informationHelicity fluctuation, generation of linking number and effect on resistivity
Helicity fluctuation, generation of linking number and effect on resistivity F. Spineanu 1), M. Vlad 1) 1) Association EURATOM-MEC Romania NILPRP MG-36, Magurele, Bucharest, Romania spineanu@ifin.nipne.ro
More informationMultifractal Models for Solar Wind Turbulence
Multifractal Models for Solar Wind Turbulence Wiesław M. Macek Faculty of Mathematics and Natural Sciences. College of Sciences, Cardinal Stefan Wyszyński University, Dewajtis 5, 01-815 Warsaw, Poland;
More informationScale invariance of cosmic structure
Scale invariance of cosmic structure José Gaite Instituto de Matemáticas y Física Fundamental, CSIC, Madrid (Spain) Scale invariance of cosmic structure p.1/25 PLAN OF THE TALK 1. Cold dark matter structure
More informationFractals and Multifractals
Fractals and Multifractals Wiesław M. Macek (1,2) (1) Faculty of Mathematics and Natural Sciences, Cardinal Stefan Wyszyński University, Wóycickiego 1/3, 01-938 Warsaw, Poland; (2) Space Research Centre,
More informationPreferred spatio-temporal patterns as non-equilibrium currents
Preferred spatio-temporal patterns as non-equilibrium currents Escher Jeffrey B. Weiss Atmospheric and Oceanic Sciences University of Colorado, Boulder Arin Nelson, CU Baylor Fox-Kemper, Brown U Royce
More informationThe Physics of Fluids and Plasmas
The Physics of Fluids and Plasmas An Introduction for Astrophysicists ARNAB RAI CHOUDHURI CAMBRIDGE UNIVERSITY PRESS Preface Acknowledgements xiii xvii Introduction 1 1. 3 1.1 Fluids and plasmas in the
More informationGeneralized Statistical Mechanics at the Onset of Chaos
Entropy 2013, 15, 5178-5222; doi:10.3390/e15125178 OPEN ACCESS entropy ISSN 1099-4300 www.mdpi.com/journal/entropy Review Generalized Statistical Mechanics at the Onset of Chaos Alberto Robledo Instituto
More informationmacroscopic view (phenomenological) microscopic view (atomistic) computing reaction rate rate of reactions experiments thermodynamics
Rate Theory (overview) macroscopic view (phenomenological) rate of reactions experiments thermodynamics Van t Hoff & Arrhenius equation microscopic view (atomistic) statistical mechanics transition state
More informationLagrangian intermittency in drift-wave turbulence. Wouter Bos
Lagrangian intermittency in drift-wave turbulence Wouter Bos LMFA, Ecole Centrale de Lyon, Turbulence & Stability Team Acknowledgments Benjamin Kadoch, Kai Schneider, Laurent Chevillard, Julian Scott,
More informationGeneralized Classical and Quantum Dynamics Within a Nonextensive Approach
56 Brazilian Journal of Physics, vol. 35, no. 2B, June, 2005 Generalized Classical and Quantum Dynamics Within a Nonextensive Approach A. Lavagno Dipartimento di Fisica, Politecnico di Torino, I-029 Torino,
More informationMagnetic Reconnection: Recent Developments and Future Challenges
Magnetic Reconnection: Recent Developments and Future Challenges A. Bhattacharjee Center for Integrated Computation and Analysis of Reconnection and Turbulence (CICART) Space Science Center, University
More informationMathematical Structures of Statistical Mechanics: from equilibrium to nonequilibrium and beyond Hao Ge
Mathematical Structures of Statistical Mechanics: from equilibrium to nonequilibrium and beyond Hao Ge Beijing International Center for Mathematical Research and Biodynamic Optical Imaging Center Peking
More informationSuperdiffusive and subdiffusive transport of energetic particles in astrophysical plasmas: numerical simulations and experimental evidence
Superdiffusive and subdiffusive transport of energetic particles in astrophysical plasmas: numerical simulations and experimental evidence Gaetano Zimbardo S. Perri, P. Pommois, and P. Veltri Universita
More informationAnomalous Transport and Fluctuation Relations: From Theory to Biology
Anomalous Transport and Fluctuation Relations: From Theory to Biology Aleksei V. Chechkin 1, Peter Dieterich 2, Rainer Klages 3 1 Institute for Theoretical Physics, Kharkov, Ukraine 2 Institute for Physiology,
More informationStatistical physics models belonging to the generalised exponential family
Statistical physics models belonging to the generalised exponential family Jan Naudts Universiteit Antwerpen 1. The generalized exponential family 6. The porous media equation 2. Theorem 7. The microcanonical
More informationRenormalization Group: non perturbative aspects and applications in statistical and solid state physics.
Renormalization Group: non perturbative aspects and applications in statistical and solid state physics. Bertrand Delamotte Saclay, march 3, 2009 Introduction Field theory: - infinitely many degrees of
More informationSolar Flares and Particle Acceleration
Solar Flares and Particle Acceleration Loukas Vlahos In this project many colleagues have been involved P. Cargill, H. Isliker, F. Lepreti, M. Onofri, R. Turkmani, G. Zimbardo,, M. Gkioulidou (TOSTISP
More informationF r (t) = 0, (4.2) F (t) = r= r a (t)
Chapter 4 Stochastic Equations 4.1 Langevin equation To explain the idea of introduction of the Langevin equation, let us consider the concrete example taken from surface physics: motion of an atom (adatom)
More informationFractional Diffusion Theory and Applications Part II
Fractional Diffusion Theory and Applications Part II p. 1/2 Fractional Diffusion Theory and Applications Part II 22nd Canberra International Physics Summer School 28 Bruce Henry (Trevor Langlands, Peter
More informationStatistical studies of turbulent flows: self-similarity, intermittency, and structure visualization
Statistical studies of turbulent flows: self-similarity, intermittency, and structure visualization P.D. Mininni Departamento de Física, FCEyN, UBA and CONICET, Argentina and National Center for Atmospheric
More informationarxiv: v1 [nlin.cd] 22 Feb 2011
Generalising the logistic map through the q-product arxiv:1102.4609v1 [nlin.cd] 22 Feb 2011 R W S Pessoa, E P Borges Escola Politécnica, Universidade Federal da Bahia, Rua Aristides Novis 2, Salvador,
More informationDelay Coordinate Embedding
Chapter 7 Delay Coordinate Embedding Up to this point, we have known our state space explicitly. But what if we do not know it? How can we then study the dynamics is phase space? A typical case is when
More informationNPTEL
NPTEL Syllabus Nonequilibrium Statistical Mechanics - Video course COURSE OUTLINE Thermal fluctuations, Langevin dynamics, Brownian motion and diffusion, Fokker-Planck equations, linear response theory,
More informationPotential Descending Principle, Dynamic Law of Physical Motion and Statistical Theory of Heat
Potential Descending Principle, Dynamic Law of Physical Motion and Statistical Theory of Heat Tian Ma and Shouhong Wang Supported in part by NSF, ONR and Chinese NSF http://www.indiana.edu/ fluid Outline
More informationIntroduction. Statistical physics: microscopic foundation of thermodynamics degrees of freedom 2 3 state variables!
Introduction Thermodynamics: phenomenological description of equilibrium bulk properties of matter in terms of only a few state variables and thermodynamical laws. Statistical physics: microscopic foundation
More informationAlgorithms for Ensemble Control. B Leimkuhler University of Edinburgh
Algorithms for Ensemble Control B Leimkuhler University of Edinburgh Model Reduction Across Disciplines Leicester 2014 (Stochastic) Ensemble Control extended ODE/SDE system design target ensemble SDE invariant
More informationActive Matter Lectures for the 2011 ICTP School on Mathematics and Physics of Soft and Biological Matter Lecture 3: Hydrodynamics of SP Hard Rods
Active Matter Lectures for the 2011 ICTP School on Mathematics and Physics of Soft and Biological Matter Lecture 3: of SP Hard Rods M. Cristina Marchetti Syracuse University Baskaran & MCM, PRE 77 (2008);
More informationNon-equilibrium phase transitions
Non-equilibrium phase transitions An Introduction Lecture III Haye Hinrichsen University of Würzburg, Germany March 2006 Third Lecture: Outline 1 Directed Percolation Scaling Theory Langevin Equation 2
More informationarxiv: v1 [cond-mat.stat-mech] 3 Apr 2007
A General Nonlinear Fokker-Planck Equation and its Associated Entropy Veit Schwämmle, Evaldo M. F. Curado, Fernando D. Nobre arxiv:0704.0465v1 [cond-mat.stat-mech] 3 Apr 2007 Centro Brasileiro de Pesquisas
More informationTheory of fractional Lévy diffusion of cold atoms in optical lattices
Theory of fractional Lévy diffusion of cold atoms in optical lattices, Erez Aghion, David Kessler Bar-Ilan Univ. PRL, 108 230602 (2012) PRX, 4 011022 (2014) Fractional Calculus, Leibniz (1695) L Hospital:
More informationDerivation of the GENERIC form of nonequilibrium thermodynamics from a statistical optimization principle
Derivation of the GENERIC form of nonequilibrium thermodynamics from a statistical optimization principle Bruce Turkington Univ. of Massachusetts Amherst An optimization principle for deriving nonequilibrium
More informationAy Fall 2004 Lecture 6 (given by Tony Travouillon)
Ay 122 - Fall 2004 Lecture 6 (given by Tony Travouillon) Stellar atmospheres, classification of stellar spectra (Many slides c/o Phil Armitage) Formation of spectral lines: 1.excitation Two key questions:
More informationSpace Physics. An Introduction to Plasmas and Particles in the Heliosphere and Magnetospheres. May-Britt Kallenrode. Springer
May-Britt Kallenrode Space Physics An Introduction to Plasmas and Particles in the Heliosphere and Magnetospheres With 170 Figures, 9 Tables, Numerous Exercises and Problems Springer Contents 1. Introduction
More informationReduced MHD. Nick Murphy. Harvard-Smithsonian Center for Astrophysics. Astronomy 253: Plasma Astrophysics. February 19, 2014
Reduced MHD Nick Murphy Harvard-Smithsonian Center for Astrophysics Astronomy 253: Plasma Astrophysics February 19, 2014 These lecture notes are largely based on Lectures in Magnetohydrodynamics by Dalton
More informationCollective Effects. Equilibrium and Nonequilibrium Physics
Collective Effects in Equilibrium and Nonequilibrium Physics: Lecture 3, 3 March 2006 Collective Effects in Equilibrium and Nonequilibrium Physics Website: http://cncs.bnu.edu.cn/mccross/course/ Caltech
More information16. Working with the Langevin and Fokker-Planck equations
16. Working with the Langevin and Fokker-Planck equations In the preceding Lecture, we have shown that given a Langevin equation (LE), it is possible to write down an equivalent Fokker-Planck equation
More informationThis is a Gaussian probability centered around m = 0 (the most probable and mean position is the origin) and the mean square displacement m 2 = n,or
Physics 7b: Statistical Mechanics Brownian Motion Brownian motion is the motion of a particle due to the buffeting by the molecules in a gas or liquid. The particle must be small enough that the effects
More informationHowever, in actual topology a distance function is not used to define open sets.
Chapter 10 Dimension Theory We are used to the notion of dimension from vector spaces: dimension of a vector space V is the minimum number of independent bases vectors needed to span V. Therefore, a point
More informationMagnetic Reconnection in Laboratory, Astrophysical, and Space Plasmas
Magnetic Reconnection in Laboratory, Astrophysical, and Space Plasmas Nick Murphy Harvard-Smithsonian Center for Astrophysics namurphy@cfa.harvard.edu http://www.cfa.harvard.edu/ namurphy/ November 18,
More informationHamiltonian and Non-Hamiltonian Reductions of Charged Particle Dynamics: Diffusion and Self-Organization
NNP2017 11 th July 2017 Lawrence University Hamiltonian and Non-Hamiltonian Reductions of Charged Particle Dynamics: Diffusion and Self-Organization N. Sato and Z. Yoshida Graduate School of Frontier Sciences
More informationSuperstatistics: theory and applications
Continuum Mech. Thermodyn. (24) 6: 293 34 Digital Object Identifier (DOI).7/s6-3-45- Original article Superstatistics: theory and applications C. Beck School of Mathematical Sciences, Queen Mary, University
More informationCOMPARATIVE STUDY OF SOLAR FLARE NORTH-SOUTH HEMISPHERIC AND K-INDEX GEOMAGNETIC ACTIVITY TIME SERIES DATA USING FRACTAL DIMENSION
COMPARATIVE STUDY OF SOLAR FLARE NORTH-SOUTH HEMISPHERIC AND K-INDEX GEOMAGNETIC ACTIVITY TIME SERIES DATA USING FRACTAL DIMENSION Danish Hassan 1, Shaheen Abbas 1 & M.R.K Ansari 2 1 Mathematical Sciences
More informationWavelets and Fractals
Wavelets and Fractals Bikramjit Singh Walia Samir Kagadkar Shreyash Gupta 1 Self-similar sets The best way to study any physical problem with known symmetry is to build a functional basis with symmetry
More informationAnomalous transport of particles in Plasma physics
Anomalous transport of particles in Plasma physics L. Cesbron a, A. Mellet b,1, K. Trivisa b, a École Normale Supérieure de Cachan Campus de Ker Lann 35170 Bruz rance. b Department of Mathematics, University
More informationStatistical mechanics of random billiard systems
Statistical mechanics of random billiard systems Renato Feres Washington University, St. Louis Banff, August 2014 1 / 39 Acknowledgements Collaborators: Timothy Chumley, U. of Iowa Scott Cook, Swarthmore
More informationThe weather and climate as problems in physics: scale invariance and multifractals. S. Lovejoy McGill, Montreal
The weather and climate as problems in physics: scale invariance and multifractals S. Lovejoy McGill, Montreal McGill April 13, 2012 Required reading for this course The Weather and Climate Emergent Laws
More informationOnsager theory: overview
Onsager theory: overview Pearu Peterson December 18, 2006 1 Introduction Our aim is to study matter that consists of large number of molecules. A complete mechanical description of such a system is practically
More informationAbstracts. Furstenberg The Dynamics of Some Arithmetically Generated Sequences
CHAOS AND DISORDER IN MATHEMATICS AND PHYSICS Monday 10:00-11:00 Okounkov Algebraic geometry of random surfaces 11:30-12:30 Furstenberg Dynamics of Arithmetically Generated Sequences 12:30-14:30 lunch
More informationReconstruction Deconstruction:
Reconstruction Deconstruction: A Brief History of Building Models of Nonlinear Dynamical Systems Jim Crutchfield Center for Computational Science & Engineering Physics Department University of California,
More informationEntropy-dissipation methods I: Fokker-Planck equations
1 Entropy-dissipation methods I: Fokker-Planck equations Ansgar Jüngel Vienna University of Technology, Austria www.jungel.at.vu Introduction Boltzmann equation Fokker-Planck equations Degenerate parabolic
More informationNon-equilibrium phenomena and fluctuation relations
Non-equilibrium phenomena and fluctuation relations Lamberto Rondoni Politecnico di Torino Beijing 16 March 2012 http://www.rarenoise.lnl.infn.it/ Outline 1 Background: Local Thermodyamic Equilibrium 2
More information= w. These evolve with time yielding the
1 Analytical prediction and representation of chaos. Michail Zak a Jet Propulsion Laboratory California Institute of Technology, Pasadena, CA 91109, USA Abstract. 1. Introduction The concept of randomness
More informationIntroduction to Magnetohydrodynamics (MHD)
Introduction to Magnetohydrodynamics (MHD) Tony Arber University of Warwick 4th SOLARNET Summer School on Solar MHD and Reconnection Aim Derivation of MHD equations from conservation laws Quasi-neutrality
More informationElementary Lectures in Statistical Mechanics
George DJ. Phillies Elementary Lectures in Statistical Mechanics With 51 Illustrations Springer Contents Preface References v vii I Fundamentals: Separable Classical Systems 1 Lecture 1. Introduction 3
More informationLANGEVIN EQUATION AND THERMODYNAMICS
LANGEVIN EQUATION AND THERMODYNAMICS RELATING STOCHASTIC DYNAMICS WITH THERMODYNAMIC LAWS November 10, 2017 1 / 20 MOTIVATION There are at least three levels of description of classical dynamics: thermodynamic,
More informationKinetic Alfvén waves in space plasmas
Kinetic Alfvén waves in space plasmas Yuriy Voitenko Belgian Institute for Space Aeronomy, Brussels, Belgium Solar-Terrestrial Center of Excellence, Space Pole, Belgium Recent results obtained in collaboration
More informationSolar Wind Turbulence
Solar Wind Turbulence Presentation to the Solar and Heliospheric Survey Panel W H Matthaeus Bartol Research Institute, University of Delaware 2 June 2001 Overview Context and SH Themes Scientific status
More informationentropy The Nonadditive Entropy S q and Its Applications in Physics and Elsewhere: Some Remarks Entropy 2011, 13, ; doi:10.
Entropy 2011, 13, 1765-1804; doi:10.3390/e13101765 OPEN ACCESS entropy ISSN 1099-4300 www.mdpi.com/journal/entropy Review The Nonadditive Entropy S q and Its Applications in Physics and Elsewhere: Some
More informationarxiv:cond-mat/ v1 [cond-mat.stat-mech] 24 May 2000
arxiv:cond-mat/0005408v1 [cond-mat.stat-mech] 24 May 2000 Non-extensive statistical mechanics approach to fully developed hydrodynamic turbulence Christian Beck School of Mathematical Sciences, Queen Mary
More informationAnomalous diffusion of volcanic earthquakes
Anomalous diffusion of volcanic earthquakes SUMIYOSHI ABE 1,2 and NORIKAZU SUZUKI 3 1 Department of Physical Engineering, Mie University, Mie 514-8507, Japan 2 Institute of Physics, Kazan Federal University,
More informationdynamical zeta functions: what, why and what are the good for?
dynamical zeta functions: what, why and what are the good for? Predrag Cvitanović Georgia Institute of Technology November 2 2011 life is intractable in physics, no problem is tractable I accept chaos
More informationTable of Contents [ntc]
Table of Contents [ntc] 1. Introduction: Contents and Maps Table of contents [ntc] Equilibrium thermodynamics overview [nln6] Thermal equilibrium and nonequilibrium [nln1] Levels of description in statistical
More informationSpace Plasma Physics Thomas Wiegelmann, 2012
Space Plasma Physics Thomas Wiegelmann, 2012 1. Basic Plasma Physics concepts 2. Overview about solar system plasmas Plasma Models 3. Single particle motion, Test particle model 4. Statistic description
More informationStochastic thermodynamics
University of Ljubljana Faculty of Mathematics and Physics Seminar 1b Stochastic thermodynamics Author: Luka Pusovnik Supervisor: prof. dr. Primož Ziherl Abstract The formulation of thermodynamics at a
More informationMultifractal Structures Detected by Voyager 1 at the Heliospheric Boundaries
Multifractal Structures Detected by Voyager 1 at the Heliospheric Boundaries W. M. Macek 1,2, A. Wawrzaszek 2, and L. F. Burlaga 3 Received ; accepted Submitted to Ap. J. Lett., 15 July 2014, accepted
More informationFractional and fractal derivatives modeling of turbulence
Fractional and fractal derivatives modeling of turbulence W. Chen Institute of Applied Physics and Computational Mathematics, P.O. Box 8009, Division Box 6, Beiing 100088, China This study makes the first
More informationSolar eruptive phenomena
Solar eruptive phenomena Andrei Zhukov Solar-Terrestrial Centre of Excellence SIDC, Royal Observatory of Belgium 26/01/2018 1 Eruptive solar activity Solar activity exerts continous influence on the solar
More informationColumbia University Department of Physics QUALIFYING EXAMINATION
Columbia University Department of Physics QUALIFYING EXAMINATION Friday, January 17, 2014 1:00PM to 3:00PM General Physics (Part I) Section 5. Two hours are permitted for the completion of this section
More informationHeat bath models for nonlinear partial differential equations Controlling statistical properties in extended dynamical systems
Heat bath models for nonlinear partial differential equations Controlling statistical properties in extended dynamical systems Ben Leimkuhler University of Edinburgh Funding: NAIS (EPSRC) & NWO MIGSEE
More informationHierarchical Modeling of Complicated Systems
Hierarchical Modeling of Complicated Systems C. David Levermore Department of Mathematics and Institute for Physical Science and Technology University of Maryland, College Park, MD lvrmr@math.umd.edu presented
More informationFrom normal to anomalous deterministic diffusion Part 3: Anomalous diffusion
From normal to anomalous deterministic diffusion Part 3: Anomalous diffusion Rainer Klages Queen Mary University of London, School of Mathematical Sciences Sperlonga, 20-24 September 2010 From normal to
More informationSelf-consistent particle tracking in a simulation of the entropy mode in a Z pinch
Self-consistent particle tracking in a simulation of the entropy mode in a Z pinch K. Gustafson, I. Broemstrup, D. del-castillo-negrete, W. Dorland and M. Barnes Department of Physics, CSCAMM, University
More informationSynchro-Betatron Motion in Circular Accelerators
Outlines Synchro-Betatron Motion in Circular Accelerators Kevin Li March 30, 2011 Kevin Li Synchro-Betatron Motion 1/ 70 Outline of Part I Outlines Part I: and Model Introduction Part II: The Transverse
More informationPlasma Physics for Astrophysics
- ' ' * ' Plasma Physics for Astrophysics RUSSELL M. KULSRUD PRINCETON UNIVERSITY E;RESS '. ' PRINCETON AND OXFORD,, ', V. List of Figures Foreword by John N. Bahcall Preface Chapter 1. Introduction 1
More informationAnomalous diffusion in biology: fractional Brownian motion, Lévy flights
Anomalous diffusion in biology: fractional Brownian motion, Lévy flights Jan Korbel Faculty of Nuclear Sciences and Physical Engineering, CTU, Prague Minisymposium on fundamental aspects behind cell systems
More informationWeak Ergodicity Breaking WCHAOS 2011
Weak Ergodicity Breaking Eli Barkai Bar-Ilan University Bel, Burov, Korabel, Margolin, Rebenshtok WCHAOS 211 Outline Single molecule experiments exhibit weak ergodicity breaking. Blinking quantum dots,
More informationSTOCHASTIC PROCESSES IN PHYSICS AND CHEMISTRY
STOCHASTIC PROCESSES IN PHYSICS AND CHEMISTRY Third edition N.G. VAN KAMPEN Institute for Theoretical Physics of the University at Utrecht ELSEVIER Amsterdam Boston Heidelberg London New York Oxford Paris
More informationCollective Effects. Equilibrium and Nonequilibrium Physics
Collective Effects in Equilibrium and Nonequilibrium Physics: Lecture 1, 17 March 2006 1 Collective Effects in Equilibrium and Nonequilibrium Physics Website: http://cncs.bnu.edu.cn/mccross/course/ Collective
More informationStatistical Mechanics
Franz Schwabl Statistical Mechanics Translated by William Brewer Second Edition With 202 Figures, 26 Tables, and 195 Problems 4u Springer Table of Contents 1. Basic Principles 1 1.1 Introduction 1 1.2
More informationCosmic rays propagation in Galaxy: A fractional approach
A workshop on the occasion of the retirement of Francesco Mainardi Bilbao Basque Country Spain 6 8 November 2013 Cosmic rays propagation in Galaxy: A fractional approach Vladimir Uchaikin and Renat Sibatov
More informationCharacterizing chaotic time series
Characterizing chaotic time series Jianbo Gao PMB InTelliGence, LLC, West Lafayette, IN 47906 Mechanical and Materials Engineering, Wright State University jbgao.pmb@gmail.com http://www.gao.ece.ufl.edu/
More informationStatistical Mechanics of Active Matter
Statistical Mechanics of Active Matter Umberto Marini Bettolo Marconi University of Camerino, Italy Naples, 24 May,2017 Umberto Marini Bettolo Marconi (2017) Statistical Mechanics of Active Matter 2017
More informationWe are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors
We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists 3,900 116,000 120M Open access books available International authors and editors Downloads Our
More informationTurbulence models of gravitational clustering
Turbulence models of gravitational clustering arxiv:1202.3402v1 [astro-ph.co] 15 Feb 2012 José Gaite IDR, ETSI Aeronáuticos, Universidad Politécnica de Madrid, Pza. Cardenal Cisneros 3, E-28040 Madrid,
More informationSAMPLE PATH PROPERIES OF RANDOM TRANSFORMATIONS.
SAMPLE PATH PROPERIES OF RANDOM TRANSFORMATIONS. DMITRY DOLGOPYAT 1. Models. Let M be a smooth compact manifold of dimension N and X 0, X 1... X d, d 2, be smooth vectorfields on M. (I) Let {w j } + j=
More informationIntroduction to Dynamical Systems Basic Concepts of Dynamics
Introduction to Dynamical Systems Basic Concepts of Dynamics A dynamical system: Has a notion of state, which contains all the information upon which the dynamical system acts. A simple set of deterministic
More informationThe Sun. Basic Properties. Radius: Mass: Luminosity: Effective Temperature:
The Sun Basic Properties Radius: Mass: 5 R Sun = 6.96 km 9 R M Sun 5 30 = 1.99 kg 3.33 M ρ Sun = 1.41g cm 3 Luminosity: L Sun = 3.86 26 W Effective Temperature: L Sun 2 4 = 4πRSunσTe Te 5770 K The Sun
More informationCalculation of diffusive particle acceleration by shock waves using asymmetric skew stochastic processes
Calculation of diffusive particle acceleration by ock waves using asymmetric skew stochastic processes Astronum June 9, 9 Ming Zhang Florida Institute of Technology Cosmic ray or energetic particle transport
More informationCollective Effects. Equilibrium and Nonequilibrium Physics
1 Collective Effects in Equilibrium and Nonequilibrium Physics: Lecture 1, 17 March 2006 1 Collective Effects in Equilibrium and Nonequilibrium Physics Website: http://cncs.bnu.edu.cn/mccross/course/ Collective
More informationStatistical Mechanics
Statistical Mechanics Entropy, Order Parameters, and Complexity James P. Sethna Laboratory of Atomic and Solid State Physics Cornell University, Ithaca, NY OXFORD UNIVERSITY PRESS Contents List of figures
More informationEntropy Balance, Multibaker Maps, and the Dynamics of the Lorentz Gas
Entropy Balance, Multibaker Maps, and the Dynamics of the Lorentz Gas T. Tél and J. Vollmer Contents 1. Introduction................................ 369 2. Coarse Graining and Entropy Production in Dynamical
More informationIf we want to analyze experimental or simulated data we might encounter the following tasks:
Chapter 1 Introduction If we want to analyze experimental or simulated data we might encounter the following tasks: Characterization of the source of the signal and diagnosis Studying dependencies Prediction
More informationOn the (multi)scale nature of fluid turbulence
On the (multi)scale nature of fluid turbulence Kolmogorov axiomatics Laurent Chevillard Laboratoire de Physique, ENS Lyon, CNRS, France Laurent Chevillard, Laboratoire de Physique, ENS Lyon, CNRS, France
More information