Broad histogram: An overview

被引:23
作者
de Oliveira, PMC [1 ]
机构
[1] Univ Fed Fluminense, Inst Fis, BR-24210340 Niteroi, RJ, Brazil
关键词
D O I
10.1590/S0103-97332000000100022
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The Broad Histogram is a method allowing the direct calculation of the energy degeneracy g(E). This quantity is independent of thermodynamic concepts such as thermal equilibrium. It only depends on the distribution of allowed (micro) states along the energy axis, but not on the energy changes between the system and its environment. Once one has obtained g(E), no further effort is needed in order to consider different environment conditions, for instance, different temperatures, for the same system. The method is based on the exact relation between g(E) and the microcanonical averages of certain macroscopic quantities N-up and N-dn. For an application to a particular problem, one needs to choose an adequate instrument in order to determine the averages < N-up(E) > and < N-dn(E) >, as functions of energy. Replacing the usual fixed-temperature canonical by the fixed-energy microcanonical ensemble, new subtle concepts emerge. The temperature, for instance, is no longer an external parameter controlled by the user. Instead, the microcanonical temperature T-m(E) is a function of energy defined from g(E) itself, being thus an internal (environment independent) characteristic of the system. Accordingly all microcanonical averages are functions of E. The present text is an overview of the method. Some features of the microcanonical ensemble are also discussed, as well as some clues towards the definition of efficient Monte Carlo microcanonical sampling rules.
引用
收藏
页码:195 / 211
页数:17
相关论文
共 55 条
[1]   Exact distribution of energies in the two-dimensional Ising model [J].
Beale, PD .
PHYSICAL REVIEW LETTERS, 1996, 76 (01) :78-81
[2]   Configuration space for random walk dynamics [J].
Berg, BA ;
Hansmann, UHE .
EUROPEAN PHYSICAL JOURNAL B, 1998, 6 (03) :395-398
[3]   MULTICANONICAL MONTE-CARLO SIMULATIONS [J].
BERG, BA .
INTERNATIONAL JOURNAL OF MODERN PHYSICS C-PHYSICS AND COMPUTERS, 1993, 4 (02) :249-256
[4]   MULTICANONICAL ALGORITHMS FOR 1ST ORDER PHASE-TRANSITIONS [J].
BERG, BA ;
NEUHAUS, T .
PHYSICS LETTERS B, 1991, 267 (02) :249-253
[5]   LOCATING GLOBAL MINIMA IN OPTIMIZATION PROBLEMS BY A RANDOM-COST APPROACH [J].
BERG, BA .
NATURE, 1993, 361 (6414) :708-710
[6]  
BHANOT B, 1987, PHYS LETT, V183, P381
[7]   Rejection-free microcanonical Monte Carlo method [J].
Care, CM .
JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 1996, 29 (20) :L505-L509
[8]   MICROCANONICAL MONTE-CARLO SIMULATION [J].
CREUTZ, M .
PHYSICAL REVIEW LETTERS, 1983, 50 (19) :1411-1414
[9]  
De Oliveira P. M. C., 1996, Brazilian Journal of Physics, V26, P677
[10]  
de Oliveira P. M. C., 1991, COMPUTING BOOLEAN ST