(2021) Chiral Phase Transition in an Expanding Quark System

Total Page:16

File Type:pdf, Size:1020Kb

(2021) Chiral Phase Transition in an Expanding Quark System PHYSICAL REVIEW C 103, 014901 (2021) Chiral phase transition in an expanding quark system Ziyue Wang ,1,* Shuzhe Shi ,2 and Pengfei Zhuang1 1Physics Department, Tsinghua University, Beijing 100084, China 2Department of Physics, McGill University, 3600 University Street, Montreal, Quebec H3A 2T8, Canada (Received 6 August 2020; accepted 18 December 2020; published 8 January 2021) We investigate the influence of chiral symmetry which varies along the space-time evolution of a system, by considering the chiral phase transition in a nonequilibrium expanding quark-antiquark system. The chiral symmetry is described by the mean field order parameter, whose value is the solution of a self-consistent equation, and affects the space-time evolution of the system through the force term in the Vlasov equation. The Vlasov equation and the gap equation are solved concurrently and continuously for a longitudinal boost-invariant and transversely rotation-invariant system. This numerical framework enables us to carefully investigate how the phase transition and collision affect the evolution of the system. It is observed that the chiral phase transition gives rise to a kink in the flow velocity, which is caused by the force term in the Vlasov equation. The kink is enhanced by larger susceptibility and tends to be smoothed out by nonequilibrium effects. The spatial phase boundary appears as a “wall” for the quarks, as the quarks with low momentum are bounced back, while those with high momentum go through the wall but are slowed down. DOI: 10.1103/PhysRevC.103.014901 I. INTRODUCTION it possible to search for the CEP in the QCD phase diagram [9–11]. Besides the ongoing BES program at the BNL Rela- One of the major motivations in the study of finite- tivistic Heavy Ion Collider (RHIC), several other programs at temperature quantum chromodynamics (QCD) is to shed light other facilities such as the GSI Facility for Antiproton and Ion on the phase structure of the strong interaction in matter. Research (FAIR) and the Nuclotron-based Ion Collider Facil- Lattice-QCD data have confirmed that the chiral and decon- ity (NICA) have also contributed to the search for the QCD finement phase transition is a crossover for small baryon critical end point. The related experiments are mainly driven chemical potential [1,2]. The sign problem at large baryon by measurements of net-proton or net-charge multiplicity fluc- chemical potential [3,4] prevents lattice QCD from giving tuations [12–14] which are expected to show characteristic precise predictions about the phase transition at finite density. nonmonotonic behavior near the phase transition and espe- Model calculations based on the Nambu–Jona-Lasinio (NJL) cially near the CEP [15,16]. The fast dynamics in the fireball model, the quark meson model, and various beyond mean field renders it difficult to bridge the gap between the experiment frameworks have all predicted that the chiral phase transition and the theories since, from the theoretical aspect, the QCD at finite density is a first-order phase transition [5–8]. Ther- phase structure is investigated in an equilibrium, long-lived, modynamic theory then predicts a critical end point (CEP) extremely large, and homogeneous system. In contrast, the between the crossover and the first-order phase transition, fireball in the heavy ion collision is a highly dynamical sys- which is a second-order phase transition. However, due to tem, characterized by very short lifetime, extremely small various approximations adopted in the model calculations, size, and fast dynamical expansion. The finite-size effect and there is not an agreement on the location of the CEP on the off-equilibrium effect prevent a divergent correlation length, phase diagram. and thus weaken the critical phenomenon which takes place The exploration of the QCD phase diagram is also one in the equilibrium system. On one hand, the fast expansion of the most important goals for relativistic heavy-ion exper- and cooling during the evolution of the fireball tends to drive iments. Through a systematic measurement over a range of the system out of local equilibrium. On the other hand, the beam energies, the beam energy scan (BES) program makes relaxation time diverges around the critical point [17], and the critical slowing down renders it harder for the system to reach local equilibrium. A thorough understanding of phase tran- *[email protected] sitions in the dynamical environment is thus of fundamental necessity to make profound predictions from the BES project. Published by the American Physical Society under the terms of the Various models have been applied to study the chiral Creative Commons Attribution 4.0 International license. Further phase transition and related critical phenomenon in an out-of- distribution of this work must maintain attribution to the author(s) equilibrium system. In Refs. [18,19], the authors investigate and the published article’s title, journal citation, and DOI. Funded the chiral phase transition in a free-streaming quark-antiquark by SCOAP3. system by solving the Vlasov equation through the test 2469-9985/2021/103(1)/014901(12) 014901-1 Published by the American Physical Society ZIYUE WANG, SHUZHE SHI, AND PENGFEI ZHUANG PHYSICAL REVIEW C 103, 014901 (2021) particle method. The chiral fields are included consider- (NJL) Lagrangian model [25–27], ing their mean field values and their equations of motion. L = ψ¯ γ μ∂ − ψ + ψψ¯ 2 + ψ¯ γ τψ 2 , The Vlasov equation for the quark-antiquark system is also (i μ m0 ) G[( ) ( i 5 ) ] (2) analytically solved in Ref. [20], assuming constant quark where ψ = (u, d)T is the two-component quark field in the mass, and a shell-like structure at late evolution times in flavor space, m0 is the degenerate current mass of the quarks, the center-of-mass (CM) frame is discovered. In Ref. [21] and τ is the Pauli matrix in the isospin space. The transport the nonequilibrium and collision effects on the deconfine- equations can be derived from a first-principle theory or an ment phase transition are investigated by solving the Vlasov effective model in the framework of the Wigner function equation assuming Bjorken symmetry. The elastic two-body [28–33]. At the classical level, the quarks are treated as quasi- collisions for the quarks and antiquarks is included by simu- particles, and the chiral field is approximated by a mean field, lating a Vlasov-type equation with a Monte Carlo test particle hence the Vlasov equation is coupled to the gap equation approach [22–24]. Among the aforementioned works, al- [33]. The disoriented chiral condensate (DCC) [34–36]is though the force term is also considered in the test particle negligible here because it appears as a quantum effect, and method [18,19,22–24], its effect has not been carefully exam- the σ condensate appears as the mean field and couples to the ined, and we find it plays an important role in the evolution of Vlasov equation through the inhomogeneous quark mass. In the system around the phase transition. order to investigate the collisions and nonequilibrium effect, In order to study the chiral phase transition in the nonequi- we take the relaxation time approximation for the collision librium state, we investigate an expanding quark-anitquark terms. The distribution function of the quark/antiquark num- gas system by solving the coupled Vlasov equation as well as ber density f ±(t, x, p) satisfies the coupled Vlasov equation the gap equation. This paper is arranged as follows. In Sec. III, and gap equation, we introduce and analyze the coupled Vlasov equation and ∇ 2 gap equation which we are going to solve, and give the related ± rm ± p ± ∂t f ∓ · ∇p f ± · ∇r f = C[ f ], (3) thermal quantities that can be obtained as momentum integrals 2Ep Ep of distribution function. In Sec. III, we consider a longitudinal + − d3 p f (x, p) − f (x, p) boost-invariant and transverse rotational-symmetric system, m 1 + 2G = m , (4) π 3 0 and derive the transport equation under such condition. In (2 ) Ep Sec. IV, we present our numerical process to solve the coupled where the + (−) sign stands for quark (antiquark). In this equations and then analyze the numerical result. In Sec. V,we work, we take the relaxation time approximation for the colli- summarize this work and give a brief outlook. C =− ± − ± /τ ± sion term, [ f ] ( f feq ) θ , with feq representing the corresponding local-equilibrium distribution function, while τθ is the relaxation time. It is worth noticing that one can II. VLASOV EQUATION AND THERMAL QUANTITIES make the substitution f −(t, x, p) ≡ 1 − f −(t, x, −p), which + The partons in an off-equilibrium system with background follows the same equation of motion as f . The transport field and collisions can generally be described by the Vlasov equations can be further simplified by adopting the recom- + − + − equation, bination f = f + f and g = f − f . In such a way, the evolution of f and g can be separated. Since f − and f + sat- ± ± ± isfy the same transport equation, f (t, x, p) and g(t, x, p)also ∂t f ∓ F · ∇p f ± v · ∇x f = C[ f ]. (1) satisfy the same transport equation, while the gap equation depends only on f but not g. One thus solves the coupled The above equation is applicable when the external fields and transport equation of distribution functions f (t, x, p) and the interactions between the (quasi)particles are sufficiently g(t, x, p) as well as the gap equation for a finite density sys- weak, so each particle can be considered to be moving along tem, and solves the transport equation of distribution function a classical trajectory, punctuated by rare collisions.
Recommended publications
  • Lecture 7: Moments of the Boltzmann Equation
    !"#$%&'()%"*#%*+,-./-*+01.2(.*3+456789* !"#$%&"'()'*+,"-$.'+/'0+1$2,3--4513.+6'78%39+-' Dr. Peter T. Gallagher Astrophysics Research Group Trinity College Dublin :2;$-$(01*%<*=,-./-*=0;"%/;"-* !"#$%#&!'()*%()#& +,)-"(./#012"(& 4,$50,671*)& 9*"5:%#))& 3*1*)& 87)21*)& ;<7#1*)& 3*%()5$&*=&9*"5:%#))& ;<7#1*)& +,)-"(&>7,?& 37"1/"(&& 3@4& >7,?$& >%/;"#.*%<*?%,#@/-""AB,-.%C*DE'-)%"* o Under certain assumptions not necessary to obtain actual distribution function if only interested in the macroscopic values. o Instead of solving Boltzmann or Vlasov equation for distribution function and integrating, can take integrals over collisional Boltzmann-Vlasov equation and solve for the quantities of interest. "f q "f & "f ) +v #$f + [E +(v % B)]# = ( + "t m "v ' "t *coll (7.1) o Called “taking the moments of the Boltzmann-Vlasov equation” . ! o Resulting equations known as the macroscopic transport equations, and form the foundation of plasma fluid theory. o Results in derivation of the equations of magnetohydrodynamics (MHD). F;$%#0A%$&;$*>%/;"#G*H%")"'2#1*DE'-)%"* o Lowest order moment obtained by integrating Eqn. 7.1: "f q "f ' "f * # dv + # v $%fdv + # [E +(v & B)]$ dv = # ) , dv "t m "v ( "t +coll The first term gives "f " "n o # dv = # fdv = (7.2) "t "t "t ! o Since v and r are independent, v is not effected by gradient operator: ! $ v " #fdv = # " $ vfdv o From before, the first order moment of distribution function is ! 1 u = " vf (r,v,t)dv n therefore, $ v " #fdv = # "(nu) (7.3) ! ! F;$%#0A%$&;$*>%/;"#G*H%")"'2#1*DE'-)%"* o For the third term, consider E and B separately. E term vanishes as #f # $ E " dv = $ "( fE)dv = $ fE "dS = 0 (7.4a) #v #v using Gauss’ Divergence Theorem in velocity space.
    [Show full text]
  • The Vlasov-Poisson System and the Boltzmann Equation
    DISCRETE AND CONTINUOUS Website: http://AIMsciences.org DYNAMICAL SYSTEMS Volume 8, Number 2, April 2002 pp. 361–380 AN INTRODUCTION TO KINETIC EQUATIONS: THE VLASOV-POISSON SYSTEM AND THE BOLTZMANN EQUATION JEAN DOLBEAULT Abstract. The purpose of kinetic equations is the description of dilute par- ticle gases at an intermediate scale between the microscopic scale and the hydrodynamical scale. By dilute gases, one has to understand a system with a large number of particles, for which a description of the position and of the velocity of each particle is irrelevant, but for which the decription cannot be reduced to the computation of an average velocity at any time t ∈ R and any d position x ∈ R : one wants to take into account more than one possible veloc- ity at each point, and the description has therefore to be done at the level of the phase space – at a statistical level – by a distribution function f(t, x, v) This course is intended to make an introductory review of the literature on kinetic equations. Only the most important ideas of the proofs will be given. The two main examples we shall use are the Vlasov-Poisson system and the Boltzmann equation in the whole space. 1. Introduction. 1.1. The distribution function. The main object of kinetic theory is the distri- bution function f(t, x, v) which is a nonnegative function depending on the time: t ∈ R, the position: x ∈ Rd, the velocity: v ∈ Rd or the impulsion ξ). A basic 1 d d requirement is that f(t, ., .) belongs to Lloc (R × R ) and from a physical point of view f(t, x, v) dxdv represents “the probability of finding particles in an element of volume dxdv, at time t, at the point (x, v) in the (one-particle) phase space”.
    [Show full text]
  • Statistical Mechanics of Nonequilibrium Processes Volume 1: Basic Concepts, Kinetic Theory
    Dmitrii Zubarev Vladimir Morozov Gerd Röpke Statistical Mechanics of Nonequilibrium Processes Volume 1: Basic Concepts, Kinetic Theory Akademie Verlag Contents 1 Basic concepts of Statistical mechanics 11 1.1 Classical distribution functions 11 1.1.1 Distribution functions in phase space 11 1.1.2 Liouville's theorem 15 1.1.3 Classical Liouville equation 17 1.1.4 Time reversal in classical Statistical mechanics 20 1.2 Statistical Operators for quantum Systems 23 1.2.1 Pure quantum ensembles 24 1.2.2 Mixed quantum ensembles 27 1.2.3 Passage to the classical limit of the density matrix 29 1.2.4 Second quantization 34 1.2.5 Quantum Liouville equation 40 1.2.6 Time reversal in quantum Statistical mechanics 43 1.3 Entropy 48 1.3.1 Gibbs entropy 48 1.3.2 The Information entropy 54 1.3.3 Equilibrium Statistical ensembles 57 1.3.4 Extremal property of the microcanonical ensemble 59 1.3.5 Extremal property of the canonical ensemble 63 1.3.6 Extremal property of the grand canonical ensemble 66 1.3.7 Entropy and thermodynamic relations 68 1.3.8 Nernst's theorem 72 1.3.9 Equilibrium fluctuations of thermodynamic quantities 76 1.3.10 Equilibrium fluctuations of dynamical variables 79 Appendices to Chapter 1 84 1A Time-ordered evolution Operators 84 1B The maximum entropy for quantum ensembles 86 Problems to Chapter 1 87 8 Contents 2 Nonequilibrium Statistical ensembles 89 2.1 Relevant Statistical ensembles 90 2.1.1 Reduced description of nonequilibrium Systems 90 2.1.2 Relevant Statistical distributions 96 2.1.3 Entropy and thermodynamic relations in relevant ensembles .
    [Show full text]
  • Arxiv:1605.02220V1 [Cond-Mat.Quant-Gas] 7 May 2016
    Nonequilibrium Kinetics of One-Dimensional Bose Gases F. Baldovin1,2,3, A. Cappellaro1, E. Orlandini1,2,3, and L. Salasnich1,2,4 1Dipartimento di Fisica e Astronomia “Galileo Galilei”, Universit`adi Padova, Via Marzolo 8, 35122 Padova, Italy, 2CNISM, Unit`adi Ricerca di Padova, Via Marzolo 8, 35122 Padova, Italy, 3INFN, Sezione di Padova, Via Marzolo 8, 35122 Padova, Italy, 4INO-CNR, Sezione di Sesto Fiorentino, Via Nello Carrara, 1 - 50019 Sesto Fiorentino, Italy Abstract. We study cold dilute gases made of bosonic atoms, showing that in the mean-field one-dimensional regime they support stable out-of-equilibrium states. Starting from the 3D Boltzmann-Vlasov equation with contact interaction, we derive an effective 1D Landau-Vlasov equation under the condition of a strong transverse harmonic confinement. We investigate the existence of out-of- equilibrium states, obtaining stability criteria similar to those of classical plasmas. 1. Introduction Bose [1] and Fermi degeneracy [2] were achieved some years ago in experiments with ultracold alkali-metal atoms, based on laser-cooling and magneto-optical trapping. These experiments have opened the way to the investigation and manipulation of novel states of atomic matter, like the Bose-Einstein condensate [3] and the superfluid Fermi gas in the BCS-BEC crossover [4]. Simple but reliable theoretical tools for the study of these systems in the collisional regime are the hydrodynamic equations [3, 5]. Nevertheless, to correctly reproduce dynamical properties of atomic gases in the mean- field collisionless regime [6, 7], or in the crossover from collisionless to collisional regime [8], one needs the Boltzmann-Vlasov equation [9, 10, 11, 12].
    [Show full text]
  • Splitting Methods for Vlasov–Poisson and Vlasov–Maxwell Equations
    University of Innsbruck Department of Mathematics Numerical Analysis Group PhD Thesis Splitting methods for Vlasov{Poisson and Vlasov{Maxwell equations Lukas Einkemmer Advisor: Dr. Alexander Ostermann Submitted to the Faculty of Mathematics, Computer Science and Physics of the University of Innsbruck in partial fulfillment of the requirements for the degree of Doctor of Philosophy (PhD). January 17, 2014 1 Contents 1 Introduction 3 2 The Vlasov equation 4 2.1 The Vlasov equation in relation to simplified models . 6 2.2 Dimensionless form . 7 3 State of the art 8 3.1 Particle approach . 9 3.2 Grid based discretization in phase space . 9 3.3 Splitting methods . 11 3.4 Full discretization . 13 4 Results & Publications 14 5 Future research 16 References 17 A Convergence analysis of Strang splitting for Vlasov-type equations 21 B Convergence analysis of a discontinuous Galerkin/Strang splitting approximation for the Vlasov{Poisson equations 39 C Exponential integrators on graphic processing units 62 D HPC research overview (book chapter) 70 2 1 Introduction A plasma is a highly ionized gas. That is, it describes a state of matter where the electrons dissociate from the much heavier ions. Usually the ionization is the result of a gas that has been heated to a sufficiently high temperature. This is the case for fusion plasmas, including those that exist in the center of the sun, as well as for artificially created fusion plasmas which are, for example, used in magnetic confinement fusion devices (Tokamaks, for ex- ample) or in inertial confinement fusion. However, astrophysical plasmas, for example, can exist at low temperatures, since in such configurations the plasma density is low.
    [Show full text]
  • The Relativistic Vlasov Equation with Current and Charge Density Given by by Alec Johnson, January 2011 X X J = Qpvpδxp Σ = Qpδxp I
    1 The Relativistic Vlasov Equation with current and charge density given by by Alec Johnson, January 2011 X X J = qpvpδxp σ = qpδxp I. Recitation of basic electrodynamics p p X δxp X δxp = q p ; = q γ ; A. Classical electrodynamics p p γ p p γ p p p p Classical electrodynamics is governed by Newton's sec- here p (i.e. γ v ) is the proper velocity, where γ is the ond law (for particle motion), p p p p rate at which time t elapses with respect to the proper time τ of a clock moving with particle p. Dropping the particle mpdtvp = Fp; vp := dtxp; p index, (where p is particle index, t is time, mp is particle mass, γ := d t; and xp(t) is particle position, and Fp(t) is the force on the τ particle), the Lorentz force law, p := dτ x = (dτ t)dtx = γv: Fp = qp (E + v × B) A concrete expression relating γ to (proper) velocity is (where E(t; x) = electric field, B(t; x) = magnetic field, and qp is particle charge), and Maxwell's equations, γ2 = 1 + (p=c)2; i.e. (dividing by γ2), −2 2 @tB + r × E = 0; r · B = 0; 1 = γ + (v=c) ; i.e. (solving for γ), 2 −1=2 @tE − c r × B = −J/, r · E = σ/, γ = 1 − (v=c)2 : with current and charge density given by II. Vlasov equation X X J := qpvpδxp ; σ := qpδxp ; The Vlasov equation asserts that particles are conserved p p in phase space and that the only force acting on particles is the electromagnetic force.
    [Show full text]
  • CHAPTER 6: Vlasov Equation
    CHAPTER 6: Vlasov Equation Part 1 6. 1 Introduction Distribution Function, Kinetic Equation, and Kinetic Theory : The distribution function ft(xv , , ) gives the particle density of a certitain speci es i n th th6die 6-dimensi onal ph ase space ofdtf xv and at time t. Thus, ftdxdv(xv , , )33 is the total number of particles in the differen- tial volume dxdv33 at point (xv , ) and time t. A kinetic equation describes the time evolution of f (xv , ,t ). The kinetic theories in Chs. 3-5 derive various forms of kinetic equations. In most cases,,,p however, the plasma behavior can be described by an approximate kinetic equation, called the Vlasov equation, which simply neglects the complications caused by collisions. By ignoring collisions , we may star t out without the knowledge of Chs. 3-5 and proceed directly to the derivation of the Vlasov equation (also called the collisionless Boltzmann equation). 1 6.1 Introduction (continued) The Vlasov Equation : As shown in Sec. 2.9, a collision can result in an abrupt change of two colliding pa rticles' velocities and their instant escape from a small element in the xv- space, which contains the colliding particles before the collision. However, if collisions are neglected(validonatimescaled (valid on a time scale the collision time, see Sec. 1.6), particles in an element at position A in the xv- space will wander in continuous curves to v position B ( see fig fiure) . Th us, th e t ot al numbithber in the B element is conserved, and ft(xv , , ) obeys an equation A of continuity, which takes the form (see next page): x t ft(xv , , )xv, [ ft ( xv , , )( x , v )] 0 (1) In (1), xv, [ ( , , , , , )] is a 6 - dimensional xyzvxyz v v divergence operator and (x , v ) [ (xyzv , , , x , v yz,)]v can be regarded as a 6-dimensional "velocity" vector in the xv- space.
    [Show full text]
  • Lecture: Part 1
    Introduction to the dynamical models of heavy-ion collisions Elena Bratkovskaya (GSI Darmstadt & Uni. Frankfurt) The CRC-TR211 Lecture Week “Lattice QCD and Dynamical models for Heavy Ion Physics” Limburg, Germany, 10-13 December, 2019 1 The ‚holy grail‘ of heavy-ion physics: The phase diagram of QCD • Search for the critical point • Study of the phase transition from hadronic to partonic matter – Quark-Gluon-Plasma • Search for signatures of ? chiral symmetry restoration • Search for the critical point • Study of the in-medium properties of hadrons at high baryon density and temperature 2 Theory: Information from lattice QCD I. deconfinement phase transition II. chiral symmetry restoration with increasing temperature + with increasing temperature lQCD BMW collaboration: mq=0 qq Δ ~ T l,s qq 0 ❑ Crossover: hadron gas → QGP ❑ Scalar quark condensate 〈풒풒ഥ〉 is viewed as an order parameter for the restoration of chiral symmetry: ➔ both transitions occur at about the same temperature TC for low chemical potentials 3 Experiment: Heavy-ion collisions ❑ Heavy-ion collision experiment ➔ ‚re-creation‘ of the Big Bang conditions in laboratory: matter at high pressure and temperature ❑ Heavy-ion accelerators: Large Hadron Collider - Relativistic-Heavy-Ion-Collider - Facility for Antiproton and Ion Nuclotron-based Ion Collider LHC (CERN): RHIC (Brookhaven): Research – FAIR (Darmstadt) fAcility – NICA (Dubna) Pb+Pb up to 574 A TeV Au+Au up to 21.3 A TeV (Under construction) (Under construction) Au+Au up to 10 (30) A GeV Au+Au up to 60 A GeV 4 Signals of the phase transition: • Multi-strange particle enhancement in A+A • Charm suppression • Collective flow (v1, v2) • Thermal dileptons • Jet quenching and angular correlations • High pT suppression of hadrons • Nonstatistical event by event fluctuations and correlations • ..
    [Show full text]
  • Tsallis Entropy and the Vlasov-Poisson Equations
    Brazilian Journal of Physics, vol. 29, no. 1, March, 1999 79 Tsallis Entropy and the Vlasov-Poisson Equations 1;2;3 3;4 A. R. Plastino and A. Plastino 1 Faculty of Astronomy and Geophysics, National University La Plata, C. C. 727, 1900 La Plata, Argentina 2 CentroBrasileiro de Pesquisas F sicas CBPF Rua Xavier Sigaud 150, Rio de Janeiro, Brazil 3 Argentine Research Agency CONICET. 4 Physics Department, National University La Plata, C.C. 727, 1900 La Plata, Argentina Received 07 Decemb er, 1998 We revisit Tsallis Maximum Entropy Solutions to the Vlasov-Poisson Equation describing gravita- tional N -b o dy systems. We review their main characteristics and discuss their relationshi p with other applicatio ns of Tsallis statistics to systems with long range interactions. In the following con- siderations we shall b e dealing with a D -dimensional space so as to b e in a p osition to investigate p ossible dimensional dep endences of Tsallis' parameter q . The particular and imp ortant case of the Schuster solution is studied in detail, and the p ertinent Tsallis parameter q is given as a function of the space dimension. In the sp ecial case of three dimensional space we recover the value q =7=9, that has already app eared in many applications of Tsallis' formalism involving long range forces. I Intro duction R q 1 [f x] dx S = 1 q q 1 where q is a real parameter characterizing the entropy Foravarietyofphysical reasons, muchwork has b een functional S , and f x is a probability distribution de- devoted recently to the exploration of alternativeor q N ned for x 2 R .
    [Show full text]
  • Chapter 3. Deriving the Fluid Equations from the Vlasov Equation 25
    Chapter 3. Deriving the Fluid Equations From the Vlasov Equation 25 Chapter 3. Deriving the Fluid Equations From the Vlasov Equation Topics or concepts to learn in Chapter 3: 1. The basic equations for study kinetic plasma physics: The Vlasov-Maxwell equations 2. Definition of fluid variables: number density, mass density, average velocity, thermal pressure (including scalar pressure and pressure tensor), heat flux, and entropy function 3. Derivation of plasma fluid equations from Vlasov-Maxwell equations: (a) The ion-electron two-fluid equations (b) The one-fluid equations and the MHD (magnetohydrodynamic) equations (c) The continuity equations of the number density, the mass density, and the charge density (d) The momentum equation (e) The momentum of the plasma and the E-, B- fields (f) The momentum flux (the pressure tensor) of the plasma and the E-, B- fields (g) The energy of the plasma and the E-, B- fields (h) The energy flux of the plasma and the E-, B- fields (i) The energy equations and “the equations of state” (j) The MHD Ohm’s law and the generalized Ohm’s law Suggested Readings: (1) Section 7.1 in Nicholson (1983) (2) Chapter 3 in Krall and Trivelpiece (1973) (3) Chapter 3 in F. F. Chen (1984) 3.1. The Vlasov-Maxwell System Vlasov equation of the αth species, shown in Eq. (2.7), can be rewritten as ∂ fα (x,v,t) eα + v⋅ ∇fα (x,v,t) + [E(x,t) + v × B(x,t)]⋅ ∇ v fα (x,v,t) = 0 (3.1) ∂t mα or ∂ fα (x,v,t) eα + ∇ ⋅{vfα (x,v,t)} + ∇ v ⋅{[E(x,t) + v × B(x,t)] fα (x,v,t)} = 0 (3.1') ∂t mα where ∇ =∂/∂x and ∇ v = ∂/∂v.
    [Show full text]
  • 22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 1: Derivation of the Boltzmann Equation
    22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 1: Derivation of the Boltzmann Equation Introduction 1. The basic model describing MHD and transport theory in a plasma is the Boltzmann-Maxwell equations. 2. This is a coupled set of kinetic equations and electromagnetic equations. 3. Initially the full set of Maxwell’s equation is maintained. 4. Also, each species is described by a distribution function satisfying a kinetic equation including collisions. 5. The equations are incredibly general and (incredibly)2 complicated to solve. 6. Our basic approach is to start from this general set of equations and then simplify them by restricting attention to the relatively slow time scales and large length scales associated with MHD and transport. 7. The end result is a set of “simpler” fluid equations which evolve the electromagnetic fields E and B and the fluid quantities in time. 8. The fluid equations will contain certain transport coefficients (e.g. ) which are calculated by means of a small gyroradius expansion of the kinetic equations. (More about this later in the term). 9. Keep in mind that the “simpler” fluid model turns out to be a set of nonlinear, three dimensional, time dependent equations. Thus, the model is still enormously difficult to solve. 10. As the models are developed during the lectures, there will be a large number of applications, almost entirely aimed at magnetic fusion. This is important in helping to understand how fusion plasmas behave, as well as providing a down to earth foundation for the model development which tends to be somewhat formal at times.
    [Show full text]
  • [Cond-Mat.Stat-Mech] 3 Nov 2005
    The Vlasov equation and the Hamiltonian Mean-Field model Julien Barr´e1, Freddy Bouchet2, Thierry Dauxois3, Stefano Ruffo4, Yoshiyuki Y. Yamaguchi5 1. Laboratoire J.-A. Dieudonn´e, UMR-CNRS 6621, Universit´ede Nice, Parc Valrose, 06108 Nice cedex 02, France. 2. Institut Non Lin´eaire de Nice, UMR-CNRS 6618, 1361 route des Lucioles 06560 Valbonne, France. 3. Laboratoire de Physique, UMR-CNRS 5672, ENS Lyon, 46 All´ee d’Italie, 69364 Lyon cedex 07, France 4. Dipartimento di Energetica “S. Stecco” and CSDC, Universit`adi Firenze, INFM and INFN, Via S. Marta, 3 I-50139, Firenze, Italy 5. Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, 606-8501, Kyoto, Japan (Dated: April 30, 2019) We show that the quasi-stationary states observed in the N-particle dynamics of the Hamiltonian Mean-Field (HMF) model are nothing but Vlasov stable homogeneous (zero magnetization) states. There is an infinity of Vlasov stable homogeneous states corresponding to different initial momentum distributions. Tsallis q-exponentials in momentum, homogeneous in angle, distribution functions are possible, however, they are not special in any respect, among an infinity of others. All Vlasov stable homogeneous states lose their stability because of finite N effects and, after a relaxation time diverging with a power-law of the number of particles, the system converges to the Boltzmann-Gibbs equilibrium. PACS numbers: 05.20.-y Classical statistical mechanics, 05.45.-a Nonlinear dynamics and nonlinear dynamical systems, 05.70.Ln Nonequilibrium and irreversible thermodynamics, 52.65.Ff Fokker-Planck and Vlasov equation. I. INTRIGUING NUMERICAL RESULTS The Hamiltonian Mean-Field model (HMF) [1] N N p2 1 H = i + [1 − cos(θ − θ )], (1) 2 2N i j Xi=1 i,jX=1 describes the motion of globally coupled particles on a circle: θi refers to the angle of the i-th particle and pi to its conjugate momentum, while N is the total number of particles.
    [Show full text]