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Multiple Condensates in Zero Range Processes David Mukamel

Multiple Condensates in Zero Range Processes David Mukamel. Seoul, July 1 st 2008. Zero Range Process A model which has been used to probe condensation phenomena In non-equilibrium driven systems. condensation. Condensed state. Macroscopically homogeneous.

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Multiple Condensates in Zero Range Processes David Mukamel

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  1. Multiple Condensates in Zero Range Processes David Mukamel Seoul, July 1st 2008

  2. Zero Range Process A model which has been used to probe condensation phenomena In non-equilibrium driven systems.

  3. condensation Condensed state Macroscopically homogeneous Under what conditions does one expect condensation do take place?

  4. B A q AB BA 1 Minimal model: Asymmetric Simple Exclusion Process (ASEP) dynamics Steady State: q=1 corresponds to an Ising model at T= All microscopic states are equally probable. Density is macroscopically homogeneous. No liquid-gas transition (for any density and q).

  5. q AB BA 1 B A Extensions of the model: more species (e.g. ABC model) transition rate (q) depends on local configuration (e.g. KLS model Katz, Lebowitz, Spohn) dynamics Ordering and condensation in such models (?)

  6. Given a 1d driven process, does it exhibit phase separation? if decreases with n: coarsening may be expected to take place. Criterion for condensation domains exchange particles via their current quantitative criterion?

  7. slower than 2/n Phase separation takes place in one of two cases: Case A: as e.g. and Case B:

  8. pu(n) (1-p)u(n) Zero Range Processes Particles in boxes with the following dynamics:

  9. Steady state distribution of ZRP processes: product measure where z is a fugacity For example if u(n)=u (independent of n) with (determines )

  10. An interesting choice of u(n) provides a condensation transition at high densities.

  11. For b<2 there is always a solution with a finite for any density. Thus no condensation. The correlation length is determined by -average number of particles in a box

  12. For b>2 there is a maximal possible density, and hence a transition of the Bose Einstein Condensation type. For densities larger than c a condensate is formed which contains a macroscopically large number of particles.

  13. Phase diagram for b>2 0 p(n) n

  14. fluid condensate L-1000, N=3000, b=3

  15. Use ZRP to probe possible types of ordering. Multiple condensates? Can the critical phase exist over a whole region rather than at a point in parameter space?

  16. L sites n Non-monotonic hopping rate – multiple condensates Y. Schwatrzkopf, M. R. Evans, D. Mukamel. J. Phys. A, 41, 205001 (2008)

  17. Typical occupation configuration obtained from simulation (b=3):

  18. L=1000, N=2000, b=3

  19. L=1000 b=4 k=1

  20. Analysis of the occupation distribution the fugacity z (L) is determined by the density:

  21. p(n)

  22. Up to logarithmic corrections the peak parameters scale with the system size as: (“condensate” weight) The peak is broad

  23. Number of particles in a condensate: Number of condensates: The condensed phase is composed of a large number (sub-extensive) of meso-condensates each contains a sub-extensive number of particles such that the total occupation of all meso-condensates is extensive.

  24. Another choice of u(n) – a sharp (exponential) cutoff at large densities: Here we expect condensates to contain up to aL particles (extensive occupation), and hence a finite number of condensates.

  25. L=1000, N= 2300, a=1, b=4 critical density = 0.5

  26. Results of scaling analysis: number of condensates is Lw = O(1)

  27. Dynamics temporal evolution of the occupation of a single site

  28. p(n) Arrhenius law approach: creation time evaporation time

  29. b=4, k=5, density=3

  30. Can one have a critical phase for a whole range of densities (like self organized criticality)? A ZRP model with non-conserving processes Connection to network dynamics

  31. c pu(n) (1-p)u(n) a(n) Non conserving ZRP A. Angel, M.R. Evans, E. Levine, D. Mukamel, PRE 72, 046132 (2005); JSTAT P08017 (2007) hopping rate: creation rate: annihilation rate:

  32. Evolution equation (fully connected) hopping current

  33. Sum rules: normalization hopping current steady state density

  34. Steady state distribution Like a conserving ZRP with an effective hopping rate and

  35. n

  36. Steady state distribution Is determined by the sum rule

  37. (s,k) phase diagram large s - small creation rate (1/Ls) - low density small s – large creation rate – high density intermediate s ?

  38. conserving model non-conserving s=1.96 k=3 b=2.6, L=10,000

  39. Phase diagram low density critical A critical B weak high density strong high density

  40. Low density phase The density vanishes in the thermodynamic limit. The lattice is basically empty.

  41. Critical phase A bk/(k+1)<s<k critical phase with a cutoff at Ly which diverges in the thermodynamic limit

  42. p(n) n n* Critical phase B 2k/(k+1)<s<bk/(k+1) Weak peak

  43. Most of the sites form a fluid with typically low occupation. In addition a sub-extensive number of sites Lw are highly occupied with n=n* (meso-condensates) no. of condensates condensate occupation

  44. p(n) n n* Weak high density k/(k+1)<s<2k/(k+1) Weak peak

  45. p(n) n n* Strong high density phase s<k/(k+1) no fluid, all site are highly occupied by n* particles

  46. L=5000 b=2.6 k=3 S=2, 1.7, 1.2, 0.4 fully connected + 1d lattice

  47. Phase diagram low density critical A critical B weak high density strong high density

  48. Network dynamics correspondence between networks and ZRP node --- site link to a node --- particle

  49. i j rate: Rewiring dynamics Networks with multiple and self links (tadpoles).

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