Posted on

A Guide to Monte Carlo Simulations in Statistical Physics - download pdf or read online

By Landau D.P., Binder K.

ISBN-10: 0521768489

ISBN-13: 9780521768481

Facing all points of Monte Carlo simulation of complicated actual platforms encountered in condensed-matter physics and statistical mechanics, this booklet presents an creation to computing device simulations in physics. This variation now includes fabric describing strong new algorithms that experience seemed because the past version was once released, and highlights contemporary technical advances and key purposes that those algorithms now make attainable. Updates additionally contain a number of new sections and a bankruptcy at the use of Monte Carlo simulations of organic molecules. through the e-book there are numerous functions, examples, recipes, case experiences, and workouts to assist the reader comprehend the fabric. it's excellent for graduate scholars and researchers, either in academia and undefined, who are looking to research ideas that experience develop into a 3rd software of actual technology, complementing test and analytical concept

Show description

Read or Download A Guide to Monte Carlo Simulations in Statistical Physics PDF

Similar physics books

Additional resources for A Guide to Monte Carlo Simulations in Statistical Physics

Example text

1990), which for 32-bit arithmetic is Xn ¼ XnÀ22 À XnÀ43 À C if Xn ! 2 Probability theory Zn ¼ ZnÀ22 À ZnÀ43 À C C¼0 if Zn ! 0; if Zn < 0; Zn ¼ Zn þ ð232 À 5Þ; 37 ð2:93Þ C¼1 Yn ¼ ðYnÀ1 À 362436069Þ MOD 232 Xn ¼ ðZn À Yn Þ MOD 232 : As mentioned earlier, it is known that the performance of a random number generator can be adversely affected by improper initialization of its lookup table (Kirkpatrick and Stoll, 1981) and we recommend the same initialization procedure for all generators as that described for R250.

In the presence of non-zero chemical potential, the groundstate is a three-fold degenerate state with 1/3 or 2/3 filling (the triangular lattice splits into three sublattices and one is full and the other two are empty, or vice versa, respectively) and is predicted to be in the universality class of the 3-state Potts model (Potts, 1952; Wu, 1982) X H ¼ ÀJ  'i 'j ; ð2:39Þ where 'i ¼ 1, 2, or 3. In zero chemical potential all six states become degenerate and a symmetry analysis predicts that the system is then in the universality class of the XY-model with sixth order anisotropy X X cosð6i Þ; ð2:40Þ H ¼ ÀJ ðSix Sjx þ Siy Sjy Þ þ D where i is the angle which a spin makes with the x-axis.

1 Thermodynamics and statistical mechanics: a quick reminder 23 H Fig. 7 Phase diagram for a system with a tricritical point in the threedimensional thermodynamic field space which includes both ordering and non-ordering fields. Tricritical scaling axes are labeled t, g, and h3 . g h3 t H+ T H ¼ ÀJnn X nn 'i 'j À Jnnn X nnn 'i 'j À H X 'i À H þ i X 'i ; ð2:41Þ i where 'i ¼ Æ1, H is the uniform magnetic field, and H+ is the staggered magnetic field which couples to the order parameter. The presence of a multicritical point introduces a new ‘relevant’ field g, which as shown in Fig.

Download PDF sample

A Guide to Monte Carlo Simulations in Statistical Physics by Landau D.P., Binder K.

by Edward

Rated 4.99 of 5 – based on 38 votes