Advanced Computational Physics Course 17164 Hartmut Ruhl, LMU, Munich Lecturer Advanced Computational Physics Course 17164 Classical many particle systems A gas of hard spheres BBGKY-hierarchy Hartmut Ruhl, LMU, Munich April 27, May 02, 2017 Liouville equation Literature Advanced Computational Physics Course 17164 Lecturer Hartmut Ruhl, LMU, Munich Lecturer Classical many particle systems A gas of hard spheres Classical many particle systems A gas of hard spheres BBGKY-hierarchy Liouville equation BBGKY-hierarchy Liouville equation Literature Literature Lecturer Advanced Computational Physics Course 17164 Hartmut Ruhl, LMU, Munich Lecturer Classical many particle systems Hartmut Ruhl, ASC, room A 238, phone 089-21804210, email [email protected]. Patrick Böhl, ASC, room A205, phone 089-21804640, email [email protected]. A gas of hard spheres BBGKY-hierarchy Liouville equation Literature Advanced Computational Physics Course 17164 Classical many particle systems To derive the Liouville equation we start by assuming that we have complete information about a mechanical system of N particles. Hence, we require that the positions and momenta of all 6N particles are known to us leading to the definition of the following probability density C (~ x1 , ~ p1 , ..., ~ xN , ~ pN , ~ x01 , ~ p01 , ..., ~ x0N , ~ p0N , t) = N 3 Πk =1 δ [~ xk (1) Hartmut Ruhl, LMU, Munich Lecturer Classical many particle systems 3 −~ xk (~ x01 , ~ p01 , t)] δ [~ pk − ~ pk (~ x0N , ~ p0N , t)] , where the ~ x01~ p01 , ..., ~ x0N ~ p0N are the initial conditions. In what follows we will leave labels for the initial conditions away. The trajectories ~ xk (t) and ~ pk (t) are known. Hence, we have A gas of hard spheres BBGKY-hierarchy ∂C (~ x1 , ~ p1 , ..., ~ xN , ~ pN , t) ∂t = (2) Literature − N h i X ∂δ 3 [~ xj − ~ xj (t)] 3 N 3 3 Πk =1,k 6=j δ [~ xk − ~ xk (t)] δ [~ pk − ~ pk (t)] ~ x˙ j (t) · δ [~ pj − ~ pj (t)] ~ ∂ x j j=1 − N h i X ∂δ 3 [~ pj − ~ pj (t)] N 3 3 3 . Πk =1,k 6=j δ [~ xk − ~ xk (t)] δ [~ pk − ~ pk (t)] δ [~ xj − ~ xj (t)] ~ p˙ j (t) · ∂~ pj j=1 Making use of 3 3 m~ x˙ (t)j δ [~ pj − ~ pj (t)] = ~ pj δ [~ pj − ~ pj (t)] we find Liouville equation (3) Advanced Computational Physics Course 17164 Classical many particle systems Hartmut Ruhl, LMU, Munich Lecturer ∂C (~ x1 , ~ p1 , ..., ~ xN , ~ pN , t) (4) ∂t = − N h i ~ X pj ∂δ 3 [~ xj − ~ xj (t)] 3 N 3 3 Πk =1,k 6=j δ [~ xk − ~ xk (t)] δ [~ pk − ~ pk (t)] · δ [~ pj − ~ pj (t)] m ∂~ xj j=1 − N h i X ∂δ 3 [~ pj − ~ pj (t)] 3 N 3 3 Πk =1,k 6=j δ [~ xk − ~ xk (t)] δ [~ pk − ~ pk (t)] δ [~ xj − ~ xj (t)] ~ p˙ j · ∂~ pj j=1 Classical many particle systems A gas of hard spheres BBGKY-hierarchy Liouville equation Literature and ∂C ∂t + N X j=1 ~ vj · ∂C ∂~ xj + N X j=1 ∂C ~ p˙ j · = 0, ∂~ pj The function C is still a generalized function. Averaging C over all initial conditions compatible with an experiment we obtain a smooth probability density function for N particles. We call it ρN . (5) Advanced Computational Physics Course 17164 Classical many particle systems A gas of N classical particles is represented in 6N-dimensional phase space. To describe N classical particles the probability density ρN (~ x1 , ~ p1 , ..., ~ xN , ~ pN , t) Z 0 3 3 3 3 = d x01 d p01 ...d x0N d p0N C (~ x1 , ~ p1 , ..., ~ xN , ~ pN , ~ x01 , ~ p01 , ..., ~ x0N , ~ p0N , t) Hartmut Ruhl, LMU, Munich (6) Lecturer Classical many particle systems is introduced. The quantity ρN is the probability density. The primed integral represents the integration over all initial conditions compatible with the experimental conditions. The probability of finding particle 1 in the phase space volume element d 3 x1 d 3 p1 at ~ x1 , ~ p1 , particle 2 in the phase space volume element d 3 x2 d 3 p2 at ~ x2 , ~ p2 and so on is given by A gas of hard spheres BBGKY-hierarchy Liouville equation d 3N xd 3N p ρN (~ x1 , ~ p1 , ..., ~ xN , ~ pN , t) , (7) where the normalization condition is Z N = d 3N xd 3N p ρN (~ x1 , ~ p1 , ..., ~ xN , ~ pN , t) . (8) The temporal evolution of the probability density ρN is governed by the Liouville equation dρN dt as can be infered from Eqn. (5) (~ x1 , ~ p1 , ..., ~ xN , ~ pN , t) = 0 (9) Literature Advanced Computational Physics Course 17164 A gas of hard spheres A classical gas consisting of N identical hard spheres with diameter σ is a sufficiently simple system for educational purposes concerning the Liouville equation. Since the spheres do not interact as long as they are sufficiently far apart from each other the Liouville equation for the problem is given by ∂t ρN + N X Hartmut Ruhl, LMU, Munich Lecturer ~ vi · ∂~x ρN = 0 , i i=1 |~ xi − ~ xj | > σ , i, j ∈ {1, ..., N} , i 6= j . (10) Classical many particle systems A gas of hard spheres The interaction of the spheres is a contact interaction. It amounts to the formulation of appropriate boundary conditions, whenever two spheres touch each other. We find BBGKY-hierarchy ρN 0 0 ... ~ xi , ~ pi ... ~ xj , ~ pj ... tc + = ρN ... ~ xi , ~ pi ... ~ xj , ~ pj ... tc − , 0 h i ~ pi = ~ pi − ~ nij ~ nij · (~ pi − ~ pj ) , ~ vi = ~ nij = ~ pi , ~ vi = m ~ xi − ~ xj |~ xi − ~ xj | ~ pi 0 h i ~ pj = ~ pj + ~ nij ~ nij · (~ pi − ~ pj ) , (11) (12) 0 m (13) (14) at ~ xi − ~ xj = σ ~ nij for i, j ∈ {1, ..., N} , i 6= j at collision time tc . The ~ xi , ~ vi , ~ pi , i ∈ {1, ..., N} are the pre-collision positions, velocities, and momenta of the spheres. The time tc − is the pre-collision time. 0 0 The ~ xi , ~ vi , ~ pi , i ∈ {1, ..., N} are the post-collision positions, velocities, momenta and tc + , the post-collision time. At the volume boundaries ρN is assumed to disappear. This is the case if we assume mirror reflection for the spheres there. Liouville equation Literature Advanced Computational Physics Course 17164 BBGKY-hierarchy For hard spheres it can be shown by elementary menas that a hierarchy of equations for so called reduced probability density functions is obtained. The hierarchy is called the BBGKY hierarchy (Bogoliubov Born Green Kirkwood Yvon hierarchy). It is given by ∂t f (s) (~ x1 , ~ p1 , ..., ~ xs , ~ ps , t) + s X i=1 = s Z X 3 Z d ps+1 (s) ~ vi · ∂~x f (~ x1 , ~ p1 , ..., ~ xs , ~ ps , t) i dSis+1 ~ nis+1 · (~ vi − ~ vs+1 ) f (s+1) Hartmut Ruhl, LMU, Munich (15) Lecturer Classical many particle systems (~ x1 , ~ p1 , ..., ~ xs+1 , ~ ps+1 , t) , A gas of hard spheres i=1 where ~ xs+1 = ~ xi − σ ~ nis+1 . The unit vector ~ nis+1 points into the interior of sphere i and is normal to its surface. (s) The quantity ρN is the s-particle probability density defined by BBGKY-hierarchy Liouville equation Literature f (s) (~ x1 , ~ p1 , ..., ~ xs , ~ ps , t) = N! (N − s)! Z 3 3 Z d ps+1 d xs+1 ... 3 3 d xN d pN (16) s N ×Πi=1 Πj=s+1 Θ |~ xi − ~ xj | − σ ×ρN (~ x1 , ~ p1 , ..., ~ xN , ~ pN , t) , where 1, Θ |~ xi − ~ xj | − σ = 0, |~ xi − ~ xj | > σ else blocks spherical volumes in configuration space that cannot be occupied by the hard spheres. (17) Advanced Computational Physics Course 17164 Liouville equation Given N point particles Γ = (t, q(t), p(t)) defines the set of all points of the system. The space Γ is 6N + 1 dimensional. The variables q(t) and p(t) are each 3N dimensional. We define a density function ρ (q, p, t) : Γ → R, where dqdp ρ (q, p, t) is the number of points at time t in the volume dqdp. Assuming that the number of points in the volume dV = dqdp is conserved it must hold Hartmut Ruhl, LMU, Munich Lecturer Z ∂t v a Z Z a dV ρ (q, p, t) = − dSa v ρ (q, p, t) = − V (18) V ∂V i j = ..., q̇ , ..., ṗ , ... , a dV ∂a v ρ (q, p, t) , ∂a = ..., ∂qi , ..., ∂pj , ... . (19) In the limit V → 0 we obtain the continuity equation (20) i ṗ = −∂ i H . q (22) Making use of Eqs. (22) leads to ∂t ρ + ∂ i q ∂ iH ρ − ∂ i ∂ iH ρ = 0. p p q Liouville equation Literature (21) Let H (q, p, t) be the Hamiltonian of the system then we have i A gas of hard spheres BBGKY-hierarchy a ∂t ρ (q, p, t) + ∂a v ρ (q, p, t) = 0 , i i ∂t ρ (q, p, t) + ∂ i q̇ ρ (q, p, t) + ∂ i ṗ ρ (q, p, t) = 0 . q p q̇ = ∂ i H , p Classical many particle systems (23) Advanced Computational Physics Course 17164 Liouville equation Hartmut Ruhl, LMU, Munich Further simplification leads to ∂t ρ + ∂ i H ∂ iρ − ∂ iH ∂ iρ = 0. p q q p (24) Classical many particle systems Introducing the Poisson bracket we obtain the Liouville equation ∂t ρ = {H, ρ} , Lecturer {H, ρ} = ∂ i H ∂ iρ − ∂ iH ∂ iρ . q p p q A gas of hard spheres (25) BBGKY-hierarchy Liouville equation The reduced s-particle distribution function is defined as Literature f (s) (1...s) = N! Z (N − s)! dq s+1 dp s+1 N N ... dq dp ρ (1...N) . (26) We assume that the Hamiltionian H can be written as H (q, p, t) = N X i=1 Ti + N X i=1,j>i Vij . (27) Advanced Computational Physics Course 17164 Liouville equation We split the Hamiltonian into the following parts H (q, p, t) = s X s X Ti + i=1 Hartmut Ruhl, LMU, Munich Vij + i=1,j>i N X i=s+1 N X Ti + Vij + i=s+1,j>i s X N X Vij . (28) i=1 j>s Lecturer Classical many particle systems We define s r I H (q, p, t) = H (q, p, t) + H (q, p, t) + V (q, p, t) , s H = s X i=1 r H = N X i=s+1 I Vij , (30) i=1,j>i N X Ti + s X N X (31) Vij . (32) i=1 j>s We obtain ∂t ρ = n Liouville equation Literature Vij , i=s+1,j>i V (q, p, t) = A gas of hard spheres BBGKY-hierarchy s X Ti + (29) o s r I H + H + V ,ρ . (33) Advanced Computational Physics Course 17164 BBGKY hierarchy Partial integration yields Hartmut Ruhl, LMU, Munich (N − s)! (s) (s) (N − s)! (s) ∂t f − H , f N! N! Z n o s+1 s+1 N N r I = dq dp ... dq dp H + V ,ρ . (34) Lecturer Classical many particle systems It can shown A gas of hard spheres Z dq s+1 dp s+1 N ... dq dp N n o r H ,ρ = 0. (35) BBGKY-hierarchy Liouville equation Please proof this as an exercise. We finally obtain Literature (N − s)! (s) (s) (N − s)! (s) ∂t f − H , f N! N! Z n o s+1 s+1 N N I = dq dp ... dq dp V ,ρ . (36) If all particles are equal and cannot be distinguished from each other we find ∂t f (s) − n H (s) ,f (s) o = s Z X i=1 dq s+1 dp s+1 n Vis+1 , f (s+1) o . (37) Literature Advanced Computational Physics Course 17164 Hartmut Ruhl, LMU, Munich Lecturer Classical many particle systems A gas of hard spheres Carlo Cercignani, Mathematical Methods in Kinetic Theory, Plenum Press. BBGKY-hierarchy Liouville equation Literature
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