Abstract
Recently there has been much interest in the study of the thermodynamics of many-body quantum mechanical systems by means of Quantum Monte Carlo (QMC) computer simulation techniques(1–4). Applications of QMC methods to the study of spin systems, the Hubbard model, and to systems of boson and fermion particles have shown them to be effective in the accurate computation of static thermodynamic properties(1–4). However, in spite of these successful QMC treatments of static thermodynamics, the determination of time-dependent thermodynamic averages (spin correlation functions, atomic displacement correlation functions, etc.), related to the time-dependent response of quantum many-body systems, has been less forthcoming. Aside from the increased bookkeeping difficulties associated with having to determine averages which depend on the new variable of time, one finds that this variable enters time-dependent computed averages in such a way that analytic continuation techniques, commonly employed in Green’s function treatments of such properties, are of little or no value in developing QMC methods for this problem.(3,5)
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
NATO Advanced Research Workshop on Monte Carlo Methods in Quantum Problems, ed. Malvin H. Kalos, D. Reidel Pub. Co., Hingham, MA, USA (1984).
Quantum Monte Carlo Methods in Equilibrium and Non-Equilibrium Systems, ed. M. Suzuki, Springer-Verlag, Berlin and New York (1987).
Journal of Statistical Physics 43, pp. 729–1243 (1986).
International Workshop on Quantum Simulations of Condensed Matter Phenomena, eds. J. D. Doll and J. E. Gubernatis, World Scientific, Singapore (1990).
E. L. Pollock and D. M. Ceperley, Phys. Rev. B30, 2555–2568 (1984).
Statistical Physics, L. D. Landau and E. M. Lifshitz, Pergamon Press, Oxford (1980), p. 537.
A. R. McGurn, P. Ryan, A. A. Maradudin, and R. F. Wallis, Phys. Rev. B40, 2407–2413 (1989).
H. Mori, Prog. Theor. Phys. 34, 399–416 (1965).
A. A. Maradudin, R. F. Wallis, A. R. McGurn, M. S. Daw, and A.J.C. Ladd, in Lattice Dynamics and Semiconductor Physics, eds. J. Xia, Z. Gan, R. Han, G. Qin, G. Yang, H. Zheng, Z. Zhong, and B. Zhu, World Scientific, Singapore, (1990), pp. 103–157.
F. Gürsey, Proc. Camb. Phil. Soc. 46, 182 (1950).
A. A. Maradudin, in Physics of Phonons, ed. T. Paszkiewicz, Springer-Verlag, Berlin (1987), pp. 1–47.
H. F. Trotter, Proc. Am. Math. Soc. 110, 545 551 (1959)
M. Suzuki, Prog. Theor Phys. 56, 145–1469 (1976).
M. Takahashi and M. Imada, J. Phys. Soc. Jpn 53, 3765–3769 (1984).
Applications of Monte Carlo Methods in Statistical Physics, ed. K. Binder, Springer-Verlag, Berlin (1984).
S. W. Lovesey, Condensed Matter Physics: Dynamic Correlations, second edition, Benjamin/Cummings Pub. Co., Inc. (1986), Ch. 1.
S. W. Lovesey, in Physics in One Dimension, eds. J. Bernasconi and T. Schneider, Springer-Verlag, Berlin (1981) pp. 129–139.
H. Tomita and H. Mashiyama, Prog. Theor. Phys. 48, 1133–1149 (1972).
K. Tomita and H. Tomita, Prog. Theor. Phys. 45, 1407–1436 (1971).
R. P. Feynman and A. R. Hibbs, Quantum Mechanics and Path-Integrals, McGraw-Hill, New York (1965), Ch. 7.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Plenum Press, New York
About this chapter
Cite this chapter
McGurn, A.R., Maradudin, A.A., Wallis, R.F. (1991). Quantum Monte Carlo Computation of Static and Time-Dependent Thermodynamic Properties of Lennard-Jones Crystals. In: Bishop, A.R., Pokrovsky, V.L., Tognetti, V. (eds) Microscopic Aspects of Nonlinearity in Condensed Matter. NATO ASI Series, vol 264. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5961-6_31
Download citation
DOI: https://doi.org/10.1007/978-1-4684-5961-6_31
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4684-5963-0
Online ISBN: 978-1-4684-5961-6
eBook Packages: Springer Book Archive