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Physics » "Advances in Quantum Mechanics", book edited by Paul Bracken, ISBN 978-953-51-1089-7, Published: April 3, 2013 under CC BY 3.0 license. © The Author(s).

Chapter 13

Quantal Cumulant Mechanics as Extended Ehrenfest Theorem

By Yasuteru Shigeta
DOI: 10.5772/53703

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A Model for multiple proton transfer reactions in GC pairs. x, y, and z are reaction coordinates of the proton transfer reactions
Figure 1. A Model for multiple proton transfer reactions in GC pairs. x, y, and z are reaction coordinates of the proton transfer reactions
QCD phase space structures of the GC pair, where q=x, y, or z and p=px, py, or pz, respectively. (a) and (b) are initially located around the global minimum for the protonated and deuterated cases. (c) and (d) are initially located around the metastable structure for the protonated and deuterated cases.
Figure 2. QCD phase space structures of the GC pair, where q=x, y, or z and p=px, py, or pz, respectively. (a) and (b) are initially located around the global minimum for the protonated and deuterated cases. (c) and (d) are initially located around the metastable structure for the protonated and deuterated cases.
Static Lindemann indexes evaluated from QCD quantum distance (red), QCD classical distance (blue), and CD classical distance (green).
Figure 3. Static Lindemann indexes evaluated from QCD quantum distance (red), QCD classical distance (blue), and CD classical distance (green).

Quantal Cumulant Mechanics as Extended Ehrenfest Theorem

Yasuteru Shigeta1, 2

1. Introduction

Since Schrödinger proposed wave mechanics for quantum phenomena in 1926 [1-4], referred as Schrödinger equation named after his name, this equation has been applied to atom-molecules, condensed matter, particle, and elementary particle physics and succeeded to reproduce various experiments. Although the Schrödinger equation is in principle the differential equation and difficult to solve, by introducing trial wave functions it is reduced to matrix equations on the basis of the variational principle. The accuracy of the approximate Schrödinger equation depends strongly on the quality of the trial wave function. He also derived the time-dependent Schrödinger equation by imposing the time-energy correspondence. This extension opened to describe time-dependent phenomena within quantum mechanics. However there exist a few exactly solvable systems so that the methodology to solve Schrödinger equation approximately is extensively explored, yet.

In contrast to the time-dependent wave mechanics, Heisenberg developed the equations of motion (EOM) derived for time-dependent operator rather than wave function [5]. This equation is now referred as the Heisenberg’ EOM. This equation is exactly equivalent to the time-dependent Schrödinger equation so that the trials to solve the Heisenberg’ EOM rather than Schrödinger one were also done for long time. For example, the Dyson equation, which is the basic equation in the Green’s function theory, is also derived from the Heisenberg’ EOM. Various approximate methods were deviced to solve the Dyson equation for nuclear and electronic structures.

In this chapter, we propose a new approximate methodology to solve dynamical properties of given systems on the basis of quantum mechanics starting from the Heisenberg’ EOM. First, theoretical background of the method is given for one-dimensional systems and an extension to multi-dimensional cases is derived. Then, we show three applications in molecular physics, i.e. the molecular vibration, the proton transfer reaction, and the quantum structural transition, respectively. Finally, we give conclusion at the last part.

2. Theoretical background

2.1. Heisenberg’ equation of motion and Ehrenfest theorem

When the Hamiltonian does not explicitly depend on time, by defining time-dependent of an arbitrary operator A^ in the Heisenberg representation as


The Heisenberg’ equation of motion (EOM) is given as


where H^ is the Hamiltonian operator and h=2π is the Planck’s constant. As an expectation value of A^ with respect to ψ is expressed as A^ψ|A^|ψ, the Heisenberg’ EOM is rewritten as


For one-dimensional case, the Hamiltonian operator is expressed as a sum of the kinetic and the potential operator as

The Heisenberg’ EOMs for both a coordinate and a momentum are derived as


These equations resemble corresponding Newton’ EOMs as


This relationship is so-called Ehrenfest’s theorem [6]. A definite difference between Heisenberg’ and Nowton’ EOMs is that the expectation value of the potential operator appears in the former. If one approximates the expectation value as


the same structure of the EOM is immediately derived. However, there is no guarantee that this approximation always holds for general cases. Including this approximation is also referred as the Ehrenfest’s theorem.

In general, Taylor expansion of the potential energy term,


gives a infinite series of higher-order derivatives, V(m)(0), times expectation values of higher-powers of coordinate moment operators, q^m(t)   (m=1,2,). Introducing a fluctuation operator of A^ as δA^A^A^ and the expectation values of the higher-order central moment δq^m(t)(q^(t)q^(t))m   (m=2,3,), the Taylor series is rewritten as


The first term appears in Eq. (2-7) and the other terms are neglected by the approximation made before. This relation indicates that the difference between classical mechanics and quantum mechanics is existence of higher-order moment.

2.2. Quantized Hamilton dynamics and quantal cumulant dynamics

Ehrenfest’ theorem fulfills for the arbitrary wave function. In previous studies, effects of the higher-order moments on dynamics were explored. The most of studies treat second-order term with the potential being a series of q. For example, Prezhdo and co-workers derived EOMs for three additional moments of q^2(t), p^2(t), and (q^(t)p^(t))s and solved the EOMs by truncating the potential term up to fourth-order power series. The subscript s represent a symmetric sum of the operator product defined as (q^(t)p^(t))s=12(q^(t)p^(t)+p^(t)q^(t)). Judging from previous works, this formalism is essentially the same as Gaussian wave packet method. Prezhdo also proposed a correction to the higher-order moments [8]. Nevertheless their formalism could not be applied general potential without any approximation such as the truncation.

Recently Shigeta and co-workers derived a general expression for the expectation value of an arbitrary operator by means of cumulants rather than moments [9-19]. For one-dimensional case, the expectation value of a differential arbitrary operator, As(q^,p^), that consists of the symmetric sum of power series of q and p is derived as


where we introduced the general expression for the cumulant λm,n(t)(δq^m(t)δp^n(t))s, in which the subscripts mean m-th order and n-th order with respect to the coordinate and momentum, respectively [20-22]. Using the expression, the expectation value of the potential is


Thus, when the anharmonicity of the potential is remarkable, it is expected that the higher-order cumulants play important role in their dynamics. Indeed, for the harmonic oscillator case, only the second-order cumulant appears as


and the other higher-order terms do not.

Up to the second-order, Heisenberg’ EOMs for cumulants are given by


where V˜ is second-order “quantal” potential defined as

V˜(n,0) is the n-th derivative of V˜ with respect to q. It is easily seen that the quantal potential is a finite series with respect to the cumulant by expanding as a Taylor series as

It is noteworthy that the first and second terms of above equation corresponds to the first and second terms of Eq. (2-9), on the other hand, the other term are different each other.

Now we here give an expression to the quantal potential that has complicated form like as in Eq. (2-14). By using the famous formula for the Gaussian integral


the exponential operator appearing in Eq. (2-14) is rewritten as,


The first derivative operator term in right hand side of the above equation can act to the potential with the relationship of exp[rq]f(q)=f(q+r) as


Therefore it is possible to estimate potential energy term without the truncation of the potential. However the analytic integration is not always has the closed form and the numerical integration does not converge depending on the kind of the potential. For the quantal potential including third and higher-order culumant, it is convenient to use the Fourier integral instead of Gaussian integral. Nevertheless this scheme also has problems concerning about the integrability and its convergence.

2.3. Energy conservation law and least uncertainty state

For the EOMs of Eq. (2-13), there exists first integral that always hold for. Now defining a function,


and differentiating it result in


Thus, this function is a time-independent constant. It is well-known that the least uncertainty state fulfills γ=24. By setting the adequate parameter, one can incorporate the Heisenberg’ uncertainty principle and thus least uncertainty relation into EOMs. Using this value, one can delete one cumulant from EOMs, for example


Now by considering the dimension we define new coordinate and momentum as


The second-order momentum cumulant λ0,2(t) is rewritten using them as


Total energy are expressed using the cumulant variables as


Above expression indicates that the energy does not depend on λ1,1(t). Differentiating the energy with respect to time gives the energy conservation law. The proof of the energy conservation law is give below.


By means of the new coordinate and momentum, the total energy is rewritten as


This equation tells us that the effective potential derived from the kinetic energy term affect the dynamics of q(t) via dynamics of qλ(t). A variational principle of E2,


gives stationary state that fulfills the least uncertainty condition as


For both momenta, the solutions of the above variational principle are zero. On the other hand, the solutions for the coordinates strongly depend on the shape of the give potential. As an exactly soluble case, we here consider the harmonic oscillator. The variational condition gives a set of solutions as (p,pλ,q,qλ)=(0,0,0,/2mω). The corresponding energy E2=ω2 is the same as the exact ground state energy. The cumulant variables estimated from the solutions result in (λ2,0,λ1,1,λ0,2)=(2mω,0,mω2) being the exact expectation values for the ground state. Thus the present scheme with the least uncertainty relation is reasonable at least for the ground state.

2.4. Distribution function and joint distribution

In order to visualize the trajectory in this theory, we here introduce distribution function as a function of coordinate and second-order cumulant variables. Now the density finding a particle at r is the expectation value of the density operator, δ(q^r), with a useful expression as


Thus the second-order expression for the density is evaluated as


This density shows that the distribution is a Gaussian centered at q with a width depending on the cumulant λ2,0. Thus the physical meaning of the second-order cumulant λ2,0 results in the width of the distribution. As the integration of this density for the whole space becomes unity, the density is normalized. Therefore the density has the physical meaning of probability. Comparison with Eq. (2-18), the potential energy is rewritten by means of the density as


This expression indicates that the expectation value of the potential is related to the mean average of the potential with weight ρ2(r). The same relationship holds for the momentum distribution.

In principle, one cannot determine the position and momentum at the same time within the quantum mechanics. In other words, resolution of phase space is no more than the Planck’ constant, h. In contrast to the quantum mechanics, we can define the joint distribution function on the basis of the present theory as


The second-order expression is given by


In contrast to the energy, the joint distribution depends on all the cumulant variables. In the phase space, this joint distribution has the elliptic shape rotated toward r-s axes. This joint distribution corresponds not to a simple coherent state, but to a squeezed-coherent state.

Using the joint distribution, the expectation value of the arbitrary operator is evaluated via


In this sense, this theory is one of variants of the quantum distribution function theory. This joint distribution fulfills the following relations as


Moreover the coordinate, momentum, and cumulants are derived by means of the joint distribution as


2.5. Extension to multi-dimensional systems

The Hamiltonian of an n-dimensional N particle system including a two-body interaction is written by


where Q^I=(q^I1,q^I2,,q^In) and P^I=(p^I1,p^I2,,p^In), and mI represent a vector of I-th position operator, that of momentum operator, and mass, respectively. We here assume that the potential V(r) is a function of the inter-nuclear distance r. Using the definitions of the second-order single-particle cumulants given by


the total energy is derived as an extension of Eq. (2-26) by


where PI and QI are n-dimensional momentum and coordinae and 1n=(111) is n-dimensional identity vector. V(Q,ξ) is the second-order quantal potential given as


where ξ is an n by n matrix composed of the position cumulant variables. From Heisenberg uncertainty relation and the least uncertainty, the total energy of Eq. (2-39) is rewritten as


From Heisenberg EOM, EOMs up to the second-order cumulants are given by


where W˜2(1Ik)({QIQJ},{ξI+ξJ}) and W˜2(2Ik,Im)({QIQJ},{ξI+ξJ}) are the 1st and 2nd derivatives of the sum of the quantal potentials with respect to the position qik and to qik and qim defined as


In contrast to the one-dimensional problems, second-order cumulants are represented as matrices. Thus, the total degrees of freedom are 24N for 3-dimensional cases. For the latter convenience, we here propose two different approximations. The one is the diagonal approximation, where the all off-diagonal elements are neglected, and the spherical approximation, where the all diagonal cumulants are the same in addition to the diagonal approximation. In the following, we apply the present methods for several multi-dimensional problems. We hereafter refer our method as QCD2.

3. Applications

3.1. Application to molecular vibration

Here we evaluate the vibrational modes from the results obtained from molecular dynamics (MD) simulations. Since the force field based model potentials, which are often used in molecular dynamics simulations, are empirical so that they sometimes leads to poor results for molecular vibrations. For quantitative results in any MD study, the accuracy of the PES is the other important requirement as well as the treatment of the nuclear motion. Here we use an efficient representation of the PES derived from ab initio electronic structure methods, which is suitable for both molecular vibration and the QCD scheme in principle. In order to include anharmonic effects, multi-dimensional quartic force field (QFF) approximation [23] is applied as


whereV0, hii, tijk, and uijkl denote the potential energy and its second-, third- and fourth-order derivatives with respect to a set of normal coordinates {Q^i}, at the equilibrium geometry, respectively. To further reduce the computational cost for multi-dimensional cases, an n-mode coupling representation of QFF (nMR-QFF) was applied [23], which includes mode couplings up to n modes.

By taking each normal mode as the degree of freedom in the dynamics simulation, the Hamiltonian for QCD2 with nMR-QFF as the potential energy is


where VQFFnmode denotes nMR-QFF. In this Hamiltonian we neglected the Watson term, which represents the vibrational-rotational coupling. Mass does not appear in the equations since the QFF normal coordinate is mass weighted. Therefore, the time evolution of variables of QCD2 with 1MR-QFF (general expressions are not shown for simplicity) is derived as


For molecules with more than 1 degree of freedom, we applied 3MR-QFF, because it has been shown by various examples that the 3MR-QFF is sufficient to describe fundamental modes as well as more complex overtone modes. The QCD2 and classical simulations were performed numerically with a fourth-order Runge-Kutta integrator. For formaldehyde (CH2O) and formic acid (HCOOH), 3MR-QFF PES was generated at the level of MP2/aug-cc-pVTZ [24, 25] using GAMESS [26] and Gaussian03 [27] program packages. In this work, the results obtained by our method are compared with those by vibrational self-consistent field method (VSCF) with full second-order perturbation correction (VPT2), which is based on the quantum mechanics and accurate enough to treat molecular vibrations.

We here present results of the spectral analysis of trajectories obtained from the simulation that can be compared with other theoretical calculations and experimental results. The Fourier transform of any dynamical variables obtained from the trajectories of MD simulations is related to spectral densities. In particular, Fourier transform of velocity autocorrelation function gives the density of vibrational states. In addition, the power spectrum of the time series or autocorrelation function of each normal coordinate shows the contribution to frequency peaks of the spectrum obtained from velocity autocorrelation. Here we adopted the latter procedure. The time interval used was 0.1 fs and total time is 1 ps for all MD and QCD simulations. The resolution in the frequency domain is less than 1 cm-1, which is enough accuracy for the analysis of the molecular vibrations of interest. If a longer time trajectory is obtained, the resolution of the Fourier spectrum becomes fine.

Since each normal mode is taken as the degree of freedom explicitly in the present dynamics simulation, the interpretation and analysis of the results can directly be related with each normal mode. The results are shown in Table 1. The table indicates that the harmonic and QFF approximation of the PES results in a large deviation between each other. Therefore, anharmonicity of the potential must be considered to perform reliable simulations. The table shows that for the analysis of fundamental frequencies, the QCD2 has higher accuracy than the classical results, which can be compared with the VPT2 results in all cases. In spite of the high accuracy, the computational cost of the QCD2 remains low even when applied to larger systems. For HCOOH molecule, the QFF is so anharmonic that the classical simulation does not give clear vibrational frequencies due to the chaotic behavior of the power spectrum. The QCD may suppress the chaotic motion as seen in the full quantum mechanics.

H2COν1 30402901284328662843
ν2 29972868283828492782
ν3 17661764172317341746
ν4 15481504150915151500
ν5 12681247125012511250
ν6 12021166N/A11891167
HCOOHν1 3739N/A352735543570
ν2 3126N/A298029892943
ν3 1794N/A176117611770
ν4 1409N/A137713851387
ν5 1302N/A127012311229
ν6 1130N/A112010971105
ν7 626N/A631620625

Table 1.

3.2. Proton transfer reaction in guanine-cytosine base pair

DNA base pairs have two and three inter-base hydrogen bonds for Adenine-Thymine and Guanine-Cytosine pairs, respectively. Proton transfer reactions among based were theoretically investigated by quantum chemical methods and further quantum mechanical analyses for decases [28-33]. In order to investigate dynamical stability of proton-transferred structures of the model system consisting DNA bases, we here perform QCD2 simulations of a model Guanine-Cytosine base pair. The model potential is given by


where parameters in the model potential are given by Villani’s paper [30, 31], which is fifth-order polynomials with respect to the coordinates for GC pairs and determined by the first principle calculations (B3LYP/cc-pVDZ). The reaction coordinates x, y, and z are shown in the figure. The corresponding quantal potentials are explicitly given by




where Greek characters denote the cumulant variables. In order to avoid the particles escaping from the bottoms, we have added the well-like potential is defined as


where qimax and qimin are maximum and minimum range of potential and V0 is height of the well-like potential. An approximate Heaviside function is given by


where b is an effective width of the approximate Heaviside function and guarantees smoothness of the potential. Using this approximate Heaviside function, the quantal potential for the well-like potential is analytically derived. When V0 is appropriately large, the particles stay around minima during dynamics simulations. We set b=100, qimax=2.0(Å), qimin=0.4(Å), and V0=0.05 (a.u.). Both qimax and qimin are in a reasonable range for the coordinate of the proton, because the distances between heavy elements (O and N) of the DNA bases are approximately 2.7~3.0 (Å) and roughly speaking the bond length of OH and NH are almost 1.0 ~ 1.1 (Å). The ordinary PES analysis gives both global and metastable structures for the GC pair. The former structure is the original Watson-Crick type and the latter is double proton-transferred one as easily found in (a) and (c). No other proton-transferred structure is found on the PES.

In the actual calculations, the time interval used was 0.1fs, total time is 2ps. The initial conditions of the variables can be determined by the least quantal energy principle. In figures 2 we have depicted phase space (x/px, y/py, z/pz) structures of a trajectory obtained by the QCD simulations. For cases (a) and (b), the dynamical feature of the closed orbits is the same except for its amplitudes. The phase space of the x/px is compact, on the other hand, that of z/pz is loose in comparison with that of y/py. The explicit isotope effects on the phase space structure are found in the cases of (c) and (d). In Fig. 2-(c), the nuclei initially located at the metastable structure go out from the basin and strongly vibrate around the global minimum due to tunneling. On the other hand, the deuterated isotopomer remains around the metastable structure. It is concluded that the metastable structure of the protonated isotopomer is quantum mechanically unstable, though it is classically stable based on the PES analysis. Therefore, it is important to take the quantum effects into isotope effects on the metastable structure with a small energy gap.


Figure 1.

A Model for multiple proton transfer reactions in GC pairs. x, y, and z are reaction coordinates of the proton transfer reactions


Figure 2.

QCD phase space structures of the GC pair, where q=x, y, or z and p=px, py, or pz, respectively. (a) and (b) are initially located around the global minimum for the protonated and deuterated cases. (c) and (d) are initially located around the metastable structure for the protonated and deuterated cases.

3.3. Quantal structural transition of finite clusters

Melting behavior of the finite quantum clusters were extensively investigated by many researchers using different kind of methodologies [34-39]. We here investigate the melting behavior of n particle Morse clusters (abbreviated as Mn) by means of the QCD2 method. The Morse potential has following form:


where De, Re and ρ are parameters for a depth, a position of minimum, and a curvature of potential. In order to evaluate the quantal potential for the Morse potential, we adopt a Gaussian fit for the potential as


which has an analytic form of the quantal potential and coefficients {ci} are obtained by a least square fit for a set of even-tempered exponent with upper and lower bounds (αupper=106 and αlower=103). By choosing the number of Gaussians, NG, the set of the coefficients is explicitly determined and we here set NG=41.

We here evaluate optimized structures of Mn clusters (n=3-7) for De=1, Re=1, and α=1. The classical global minimum structures of M3, M4, M5, M6, and M7 structure have C3v, Td, D3h, Oh, and D5h symmetry respectively. Table 2 lists energy for each method. We found that the diagonal approximation causes the artificial symmetry breaking and the spherical approximation gives less accurate results. Original approximation gives the most accurate and correctly symmetric global minimum structures. The diagonal approximation gives the same results by the original one for M6 due to the same reason denoted before. The error of both the diagonal and spherical approximation decreases with the increase of the number of the particles. It is expected that both approximations work well for many particle systems instead of the original one. In particular the error of the diagonal approximation is 0.006 % for the M7 cluster. This fact tells us that the diagonal approximation is reliable for the M7 cluster at least the stable structure.

For the analyses on quantum melting behavior, the parameters of the Morse potential are chosen asDe=1, Re=3, and α=1. Table 2 also lists nearest and next nearest distances obtained by the original and classical ones. As found in this Table, all the distances elongate with respect to classical ones. For example, the distances of M3 and M4 elongate by 7.2% and 7.8%, respectively. It is notable that these distances does not equally elongate. The ratio between the original and classical ones is different for the nearest and next nearest distances, i.e. 8.16% and 6.20% for M5, 7.36% and 3.91% for M6, and 8.70% and 6.79% for M7, respectively. In future works, we investigate influence of these behaviors on the structural transition (deformation) of the quantum Morse clusters in detail.

In order to measure the melting behavior of the finite clusters, we here use the Lindemann index defined as


where rij is a long time-averaged distance between i and j-th particles. In the present approach, there exist two possible choices of the average. One is the quantum mechanical average within the second-order QCD approach, r^ijQCD2=|q^iq^j|QCD2, which include information of both the classical position and the second-order position cumulant simultaneously, and the other is the average evaluated by means of the classical positions appearing in the QCD approach, rij=|qiqj|. We perform real-time dynamics simulation to obtain the Lindemann index for both systems, where we adopt m=100.

The Lindemann indexes obtained by CD and QCD are illustrated in Fig. 1. In the figure, there exist three different regions. Until a freezing point, the Lindemann index gradually increases as the increase of the additional kinetic energy. In this region, the structural transition does not actually occur and the cluster remains stiff. This phase is called “solid-like phase”. On the other hand, above a melting point, the structural transition often occurs and the cluster is soft. This phase is called “liquid-like phase”. Between two phases, the Lindemann index rapidly increases. This phase is referred as “coexistence phase”, which is not allowed for the bulk systems and peculiar to the finite systems. For both the solid- and liquid-like phases, the Lindeman index does not deviate too much. However that of the coexistence phase fluctuates due to a choice of the initial condition. In comparison with CD and QCD results, the transition temperatures of QCD are lower than those of the CD reflecting the quantum effects. The freezing and melting temperatures are about 0.35 and 0.42 for QCD and about 0.41 and 0.60 for CD, respectively. Since the zero-point vibrational energy is included in QCD, the energy barrier between the basin and transition state become lower so that the less temperature is needed to overcome the barrier. This is so-called quantum softening as indicated by Doll and coworker for the Neon case by means of the path-integral approach. Our real-time dynamics well reproduce their tendency for this static property. On the other hand, behavior of Lidemann indexes from r^ijQCD2=|q^iq^j|QCD2 and rij=|qiqj| is slight different, whereas the transition temperature is the same. In the solid-like phase the Lindemann index obtained by the classical dynamics is equivalent to that of the classical contribution from QCD approach. On the other hand, in the liquid-like phase the Lindemann index is equivalent to that by the classical dynamics. This fact originates from the fact that the high temperature limit of the quantum results coincides with that of the classical one. It is stressed here that the cumulant variables, which contributes to not only to the quantum delocalization but also to the thermal fluctuation.

Energy Distance
Spherical Diagonal Original Classical Original Classical
M3 -2.52135-2.55978-2.56510-3.000001.071981
M4 -5.20344-5.22683-5.24237-6.00001.078111
M5 -8.71392-8.74464-8.76049-9.852330.99212
M6 -13.1836-13.2141-13.2141-14.71821.00473
M7 -18.4016-18.4404-18.4415-20.32820.88288

Table 2.

Nearest and next nearest distances and energy for global minimum obtained by cumulant and classical dynamics for 3-dimensional Mn clusters (n=3-7).


Figure 3.

Static Lindemann indexes evaluated from QCD quantum distance (red), QCD classical distance (blue), and CD classical distance (green).

4. Summary

As an extension to the mechanics concerning about Ehrenfest theorem, we formulated a quantal cumulant mechanics (QCM) and corresponding dynamic method (QCD). The key point is the use of a position shift operator acting on the potential operator and introducing the cumulant variables to evaluate it, so that one need not truncate the potential, and it does not require separating into quantum and classical parts. In particular, we derived the coupled equation of motion (EOM) for the position, momentum, and second-order cumulants of the product of the momentum and position fluctuation operators. The EOM consists of variables and a quantal potential and its derivatives, where the quantal potential is expressed as an exponential function of the differential operator acting on the given potential. We defined density and joint density evaluated from the cumulant expansion scheme. It is clearly found that the present second-order approach gives a Gaussian density distribution spanned both on position and momentum space. Since the density is normalized, the joint density is considered exactly as probability distribution. We also indicated the relation between the joint density and cumulant variables as expectation values calculated from the distribution. We extended the QCD for the one-dimensional system in to treat the multi-dimensional systems. We derived the EOMs with the 24N dimensional phase space.

As numerical examples, we performed four applications to the simple systems. The first is the application to molecular vibrations. At first we showed that the normal mode analysis is extended to the effective potential appeared in the QCD. We illustrated that the anharmonic contribution is taken into account through mixing between the ordinary and the extended coordinates. The QCD simulations for the ab initio derived quartic force field are performed. The vibrational frequencies obtained from its power spectrum are good agreement with those obtained by accurate methods such as VPT2 and VCI.

The second is the proton transfer reactions in model DNA base pairs. We numerically showed the geometric isotope effects on the stability of the proton-transferred structures of the DNA base pairs as a function of the mass. We performed QCD simulations in order to investigate dynamical stability of the proton-transferred GC pair. The results showed that the proton-transferred structure of the protonated isotopomer is dynamically unstable and that of deuterated isotopomer remains stable. In former case, dynamically induced transition from the metastable to global minimum occurs. It is relevant to include dynamical effects to treat quantum isotope effects on the proton transfer reactions.

The last application is structural transition of finite quantum Morse clusters. We first compared the energy of the stable structures of the classical Mn cluster with those of quantum counterpart and found that the quantum effects due to zero point vibration is remarkable for small system and suppressed for larger. Then we performed the real-time dynamics to evaluate the Lindemann index to characterize the dynamical effects on the melting for M7 cluster. In between solid-like and liquid-like phases (so-called coexistence phase), structural changes of the cluster occur intermittently.


This study is supported by a Grant-in-Aid for Young Scientists (A) (No. 22685003) from Japan Society for the Promotion of the Science (JSPS) and also by a CREST program from Japan Science and Technology Agency (JST).


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