Recursive Speed-up in Partition Function Evaluation

Similar documents
Path Integrals and Euler Summation Formula

Effective Actions Approach for Improving Numerical Calculation of Path Integrals

Fast convergence of path integrals for many-body systems

9 Instantons in Quantum Mechanics

Chemistry 593: The Semi-Classical Limit David Ronis McGill University

Regularization Physics 230A, Spring 2007, Hitoshi Murayama

1 Imaginary Time Path Integral

THE Hamilton equations of motion constitute a system

221A Lecture Notes Convergence of Perturbation Theory

To make this point clear, let us rewrite the integral in a way that emphasizes its dependence on the momentum variable p:

GRAPH QUANTUM MECHANICS

Derivation of the harmonic oscillator propagator using the Feynman path integral and

PhD in Theoretical Particle Physics Academic Year 2017/2018

Advanced Quantum Mechanics

1 Equal-time and Time-ordered Green Functions

8.323 Relativistic Quantum Field Theory I

Page 404. Lecture 22: Simple Harmonic Oscillator: Energy Basis Date Given: 2008/11/19 Date Revised: 2008/11/19

The Expectation-Maximization Algorithm

Distance between physical theories based on information theory

CSCI-6971 Lecture Notes: Monte Carlo integration

1 Interaction of Quantum Fields with Classical Sources

Lecture 20: Effective field theory for the Bose- Hubbard model

A Heat Capacity Estimator for Fourier Path Integral Simulations

CHM 532 Notes on Wavefunctions and the Schrödinger Equation

Bloch Wilson Hamiltonian and a Generalization of the Gell-Mann Low Theorem 1

A simple technique to estimate partition functions and equilibrium constants from Monte Carlo simulations

Quantum Phase Transition

Polymer Solution Thermodynamics:

Tackling the Sign Problem of Ultracold Fermi Gases with Mass-Imbalance

763620SS STATISTICAL PHYSICS Solutions 5 Autumn 2012

Quantum field theory and the Ricci flow

Geometric Entropy: Black Hole Background

Monte Carlo simulations of harmonic and anharmonic oscillators in discrete Euclidean time

The Feynman-Kac formula

Recursive calculation of effective potential and variational resummation

Thermodynamics of nuclei in thermal contact

Physics 115/242 Monte Carlo simulations in Statistical Physics

UNIVERSITY OF MICHIGAN UNDERGRADUATE MATH COMPETITION 31 MARCH 29, 2014

Feynman Path Integrals in Quantum Mechanics

Variational Calculation of Eective Classical. November 12, Abstract

QUANTUM AND THERMAL MOTION IN MOLECULES FROM FIRST-PRINCIPLES

The Microcanonical Approach. (a) The volume of accessible phase space for a given total energy is proportional to. dq 1 dq 2 dq N dp 1 dp 2 dp N,

The Partition Function for the Anharmonic Oscillator in the Strong-Coupling Regime

Phase space formalisms of quantum mechanics with singular kernel

Renormalization of microscopic Hamiltonians. Renormalization Group without Field Theory

MATH3383. Quantum Mechanics. Appendix D: Hermite Equation; Orthogonal Polynomials

Stochastic Chemical Kinetics

Quantum phase transition and conductivity of parallel quantum dots with a moderate Coulomb interaction

G : Statistical Mechanics

2. The interaction between an electron gas and the potential field is given by

Monte Carlo simulation calculation of the critical coupling constant for two-dimensional continuum 4 theory

One Loop Tests of Higher Spin AdS/CFT

Path integrals and the classical approximation 1 D. E. Soper 2 University of Oregon 14 November 2011

VIII.B Equilibrium Dynamics of a Field

CS 450 Numerical Analysis. Chapter 8: Numerical Integration and Differentiation

Eco504, Part II Spring 2010 C. Sims PITFALLS OF LINEAR APPROXIMATION OF STOCHASTIC MODELS

Lie Groups for 2D and 3D Transformations

Professor Terje Haukaas University of British Columbia, Vancouver Sampling ( ) = f (x)dx

Φ 4 theory on the lattice

Linear excitations and domain walls

Circumventing the pathological behavior of path-integral Monte Carlo for systems with Coulomb potentials

Filippo Tramonto. Miniworkshop talk: Quantum Monte Carlo simula9ons of low temperature many- body systems

Most Probable Escape Path Method and its Application to Leaky Integrate And Fire Neurons

Statistical Complexity of Simple 1D Spin Systems

PHYSICS 219 Homework 2 Due in class, Wednesday May 3. Makeup lectures on Friday May 12 and 19, usual time. Location will be ISB 231 or 235.

CHAPTER 6 : LITERATURE REVIEW

P E R E N C O - C H R I S T M A S P A R T Y

Finite-Size Effects in Monte Carlo Simulations of the Gaussian Disorder Model

arxiv: v2 [physics.class-ph] 2 Nov 2010

arxiv:quant-ph/ v1 20 Apr 1995

Problem set for the course Skálázás és renormálás a statisztikus fizikában, 2014

Euclidean path integral formalism: from quantum mechanics to quantum field theory

Liouville Theory and the S 1 /Z 2 orbifold

Time fractional Schrödinger equation

3 Finite continued fractions

LANGER'S METHOD FOR WEAKLY BOUND

Lecture 2: Open quantum systems

A Brief Introduction to Statistical Mechanics

221B Lecture Notes Notes on Spherical Bessel Functions

Quantum dynamics via a time propagator in Wigner s phase space

Taylor expansion in chemical potential: p.1

Homework 8 Solutions Problem 1: Kittel 10-4 (a) The partition function of a single oscillator that can move in three dimensions is given by:

10. Zwanzig-Mori Formalism

Swinburne Research Bank

Properties of the boundary rg flow

Feynman s path integral approach to quantum physics and its relativistic generalization

arxiv:quant-ph/ v1 27 Feb 2007

J ij S i S j B i S i (1)

Handout 10. Applications to Solids

Time evolution of states in quantum mechanics 1

Asymptotic series in quantum mechanics: anharmonic oscillator

A new Lagrangian of the simple harmonic oscillator

EXTREMAL ANALYTICAL CONTROL AND GUIDANCE SOLUTIONS FOR POWERED DESCENT AND PRECISION LANDING. Dilmurat Azimov

Lecture V: Multicanonical Simulations.

Dark pulses for resonant two-photon transitions

Chapter 6. Q. Suppose we put a delta-function bump in the center of the infinite square well: H = αδ(x a/2) (1)

arxiv:cond-mat/ v1 10 Nov 1994

Phase Transitions. µ a (P c (T ), T ) µ b (P c (T ), T ), (3) µ a (P, T c (P )) µ b (P, T c (P )). (4)

Warming Up to Finite-Temperature Field Theory

Path integration in relativistic quantum mechanics

Transcription:

Recursive Speed-up in Partition Function Evaluation A. Balaž, A. Belić and A. Bogojević Institute of Physics, P.O.B. 57, Belgrade, Yugoslavia Abstract We present a simple recursive relation that leads to the speed-up of numeric procedures for the calculating of partition functions of a generic theory. The obtained results are demonstrated for the case of the anharmonic oscillator in one dimension. Introduction Path integrals represent the natural framework in which to cast statistical mechanics and quantum field theory models. Unfortunately, except in the simplest cases, path integrals can not be exactly calculated using analytical methods. We are left only with numerical procedures in which partition functions are evaluated [, ] as a series of -fold integrals using standard Monte Carlo methods [3]. For this reason we have been investigating various means for the speed up of such calculations. The present work represents a follow up of our previous papers [4], and focuses on path integrals in one dimension. Formalism We study a generic statistical model with energy of the form β ) E = dτ Gq) q + V q). ) The corresponding partition function is calculated as a path integral over paths in imaginary time τ going from q) = to qβ) = a using the standard prescription of time discretization into equal steps of ɛ = β/. Its value Z is the large limit of Z = dq n ) n= n= G q n+ +q n ) πɛ ) / exp E), ) where the discretized energy equals E = n= ɛ G qn+ + q n ) q n+ q n ) + ɛ V )) qn+ + q n. 3)

The expression for Z may be cast into the same form as eq. ) by formally integrating out all the odd indexed q s. In this way we find Z n [E] = Z [Ē], 4) where we have made explicit the dependence of partition functions on the functional form of the energy. A relation such as the one above is obviously useful for investigating the continuum limit of the partition function the difficulty, however, is in evaluating the effective energy Ē, i.e. in explicitly doing the integrals over odd indexed q s. It is impossible to do these intermediate integrals exactly, what we have done is to evaluate them by expanding the q m+ integrand up to quadratic terms in q m+ q m+ and q m+ q m. The resulting integrals are Gaussian. Doing them we obtain a closed form expression for Ē. Furthermore, the effective energy Ē is found to be of the same form as the starting energy E, but with modified kinetic and potential terms given by Ḡ = GG, V ; ɛ) G ɛ ) ) G G 6 G + ɛ G 6 V, 5) V = VG, V ; ɛ) V ) G 3G G ɛ V + ) G ɛ ln. 6) G We can now apply the above procedure recursively. To do this we start from = s imaginary time slices and obtain the following equations of descent Z [E ) ] = Z / [E ) ] = Z /4 [E ) ] =... = Z [E s) ], 7) where E ) = E, while E ), E ),..., E s) are determined through the recursive relation G k+) = GG k), V k) ; k+ ɛ), 8) V k+) = VG k), V k) ; k+ ɛ). 9) We will not make a detailed investigation of the validity of the above approximations in this short paper. Let us only note in passing that the errors associated with using Gaussian approximations in deriving equations 5) and 6) vanish with the increase of. umerical evidence suggests that these errors vanish as O ), or even faster. 3 umerical Results In the remainder of this paper we will illustrate the usefulness of the obtained results in the case of a one dimensional anharmonic oscillator in magnetic field B. Its energy is given by β E = dτ q + q + ) 4! g q4 Bq. )

All the plots that follow are for B = and a =. All the numerical calculations were done with 7 Monte Carlo steps. ote that Z,k is simply shorthand for Z [E k) ]. Figure.33.33.35.35.3.3.35.35.3.3.35 5 5 5 3 35 4 45 5.35 5 5 5 3 35 4 45 5 k Figure : Plots for g =, β =. Left: Z,k for k =,,, 3. Right: The same data collapsed to a single curve. gives the numerical results for moderate values of coupling and temperature, i.e. g = and β =. The top curve on the left plot is that of Z as a function of. We have obtained Z by fitting these points to the curve Z = Z + A/ + B/ + C/ 3. ) The three curves immediately bellow this one are of Z,k with k =, and 3 from top to bottom). Each of these curves leads to the same extrapolated value of Z, shown as a horizontal line, with precision of six decimal places. ote that every consecutive curve tends to the continuum result twice as fast as the previous one. The plot on the right shows how well our Gaussian approximation is doing the job, i.e. how well eq. 7) is satisfied. It is gratifying to see that all the Z,k collapse on a single curve when plotted as functions of k. Although this is to be expected for large enough s, we see from the above plot that this holds extremely well even for =, the case of only one integral. One might assume that the approximation made in this paper is similar to the usual mean field approximation in both cases we put the partition function into the form of a Gaussian. However, the two schemes are in fact quite different. Our derivation assumes that qτ + dτ) qτ) is small, while the mean field approximation assumes that qτ) q mf τ) is small. To see the difference we next look at the case of an extremely strong coupling, i.e. g =, β =. The left plots of Figure show that even in this strongly non-linear regime in which the mean field result is not a good approximation) all of the given curves tend to the same continuum limit. Once again we have all the benefits of using E k) with larger values of k instead of the starting energy E ). More importantly, the right plot shows that, as in the previous case, the deviation from the 3

.6.6.5.5.4.4.3.3.......9.9.8 5 5 5 3 35 4 45 5.8 5 5 5 3 35 4 45 5 k Figure : The case of strong coupling g =, β = ). equation of descent is extremely small even for the smallest values of. The same is true for the case of low temperatures. Figure 3 illustrates the numerical calculations done for g =, β =..5.5.5.5.5.5 5 5 5 3 35 4 45 5 5 5 5 3 35 4 45 5 k Figure 3: The case of low temperatures g =, β = ). 4 Conclusion In conclusion, we have obtained simple recursive relations that allow for a straightforward speed-up of the process of calculating partition functions. The uncovered results are general, i.e. they are valid for a wide class of one dimensional models, and work regardless of the strength of coupling and of temperature. We plan to extend these results to the important case of two dimensional models. We do not foresee problems in doing this since the crucial point in the present derivation, namely the integrating out of odd indexed coordinates using the Gaussian approximation, extends naturally to higher dimensions. 4

References [] R. P. Feynman and A. R. Hibbs, Quantum Mechanics and Path Integrals, McGraw- Hill, ew York, 965. [] J. W. egele and H. Orland, Quantum Many-Particle Systems, Addison-Wesley, ew York, 988. [3] M. H. Kalos and P. A. Whitlock, Monte Carlo Methods, Vol. : Basics, John Wiley and Sons, ew York, 986. [4] A. Balaž, A. Belić, A. Bogojević, SFI A 998); Phys. Low-Dim. Struct. 5/6 999), ; Ibid. 9/ 999), 49; Ibid. / ), 65. 5