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Statistical Mechanics of Systems with Long range interactions David Mukamel PowerPoint Presentation
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Statistical Mechanics of Systems with Long range interactions David Mukamel
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  1. Statistical Mechanics of Systems with Long range interactions David Mukamel

  2. Systems with long range interactions two-body interaction v(r) a 1/rs at large r with s<d, d dimensions self gravitating systems s=1 ferromagnets s=3 2d vortices s=0 (logarithmic)

  3. the entropy may be neglected in the thermodynamic limit. In finite systems, although E>>S, if T is high enough may be comparable to S, and the full free energy need to be considered. (Self gravitating systems, e.g. globular clusters) Free Energy: since

  4. v ~ 1/r3 Ferromagnetic dipolar systems (for ellipsoidal samples) D is the shape dependent demagnetization factor Models of this type, although they look extensive, are non-additive.

  5. _ + For example, consider the Ising model: Although the canonical thermodynamic functions (free energy, entropy etc) are extensive, the system is non-additive

  6. Features which result from non-additivity Thermodynamics Negative specific heat in microcanonical ensemble Inequivalence of microcanonical (MCE) and canonical (CE) ensembles Temperature discontinuity in MCE Dynamics Breaking of ergodicity in microcanonical ensemble Slow dynamics, diverging relaxation time

  7. S Some general considerations Negative specific heat in microcanonical ensemble of non-additive systems. Antonov (1962); Lynden-Bell & Wood (1968); Thirring (1970), Thirring & Posch coexistence region in systems with short range interactions E0 = xE1 +(1-x)E2 S0 = xS1 +(1-x)S2 hence S is concave and the microcanonical specific heat is non-negative

  8. On the other hand in systems with long range interactions (non-additive), in the region E1<E<E2 E0 = xE1 +(1-x)E2 S0 xS1 +(1-x)S2 S The entropy may thus follow the homogeneous system curve, the entropy is not concave. and the microcanonical specific heat becomes negative. compared with canonical ensemble where

  9. Ising model with long and short range interactions. d=1 dimensional geometry, ferromagnetic long range interaction J>0 The model has been analyzed within the canonical ensemble Nagel (1970), Kardar (1983)

  10. Canonical (T,K) phase diagram

  11. canonical microcanonical The two phase diagrams differ in the 1st order region of the canonical diagram Ruffo, Schreiber, Mukamel (2005)

  12. s m discontinuous transition: In a 1st order transition there is a discontinuity in T, and thus there is a T region which is not accessible.

  13. S E

  14. S In general it is expected that whenever the canonical transition is first order the microcanonical and canonical ensembles differ from each other.

  15. Dynamics Systems with long range interactions exhibit slow relaxation processes. This may result in quasi-stationary states (long lived non-equilibrium states whose relaxation time to the equilibrium state diverges with the system size). Non-additivity may facilitate breaking of ergodicity which could lead to trapping of systems in non- Equilibrium states.

  16. m=0 ms R Slow Relaxation In systems with short range interaction, typically the relaxation time from an unstable (or metastable) state to a stable one is finite (independent of the system size). free energy gain of a droplet critical radius above which the droplet grows.

  17. Since the critical radius is finite, the relaxation time scale in systems with short range interactions is finite. This is not the case in systems with long range interactions. relaxation processes are typically slow, with relaxation time which grows with the system size. In the case of the Ising model, the relaxation time is found to grow as logN. In other cases it is found to grow with a power of N. This results in non-equilibrium, quasi-stationary states.

  18. Dynamics Microcanonical Monte Carlo Ising dynamics:

  19. 0 ms Relaxation of a state with a local minimum of the entropy (thermodynamically unstable) One would expect the relaxation time of the m=0 state to remain finite for large systems (as is the case of systems with short range interactions..

  20. M=0 is a minimum of the entropy K=-0.25

  21. One may understand this result by considering the following Langevin equation for m: With D~1/N

  22. Fokker-Planck Equation: This is the dynamics of a particle moving in a double well potential V(m)=-s(m), with T~1/N starting at m=0.

  23. Since D~1/N the width of the distribution is Taking for simplicity s(m)~am2, a>0, the problem becomes that of a particle moving in a potential V(m) ~ -am2 at temperature T~D~1/N This equation yields at large t

  24. The anisotropic XY model slow relaxation with algebraically increasing time scale with Hamiltonian, deterministic dynamics

  25. m=0 m>0 Dynamical phase diagram of the anisotropic XY model Relaxation of the thermodynamically unstable m=0 state One would expect the relaxation time of the m=0 state to remain finite for large systems (as is the case of systems with short range interactions. Yamaguchi, Barre, Bouchet, Dauxois, Ruffo (2004) Jain, Bouchet, Mukamel, J. Stat. Mech. (2007)

  26. Relaxation of the quasi-stationary m=0 state: N=500 N=10000

  27. In fact depending on energy and initial distribution one seems to have for the XY model:

  28. E M Breaking of Ergodicity in Microcanonical dynamics. Borgonovi, Celardo, Maianti, Pedersoli (2004); Mukamel, Ruffo, Schreiber (2005). Systems with short range interactions are defined on a convex region of their extensive parameter space. If there are two microstates with magnetizations M1 and M2 Then there are microstates corresponding to any magnetization M1 < M < M2 .

  29. E M This is not correct for systems with long range interactions where the domain over which the model is defined need not be convex.

  30. K=-0.4

  31. m Local dynamics cannot make the system cross from one segment to another. Ergodicity is thus broken even for a finite system.

  32. Some general thermodynamic and dynamical properties of system with long range interactions have been considered. Negative specific heat in microcanonical ensembles Canonical and microcanonical ensembles need not be equivalent whenever the canonical transition is first order. Breaking of ergodicity in microcanonical dynamics due to non-convexity of the domain over which the model exists. Long time scales, diverging with the system size. Quasi-staionary states. The results were derived for mean field long range interactions but they are expected to be valid for algebraically decaying potentials. Summary

  33. S. Ruffo, (Fitenze) • J. Barre, (Nice) • Campa, (Rome) • A. Giansanti, (Rome) • N. Schreiber, (Weizmann) • P. de Buyl, (Firenze) • R. Khomeriki, (Georgia) • K. Jain, (Weizmann) • F. Bouchet, (Nice) • T. Dauxois (Lyon)