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1 Introduction and overview

1.1 Goals

1. Link between Chemical Kinetics (PC II), Molecular (PC III) and Spectroscopy (PC IV)

2. Show how reversible relates to macroscopic irreversible reac- tion kinetics, introduction to quantum , molecular quantum dynamics, quantum scattering and modern experimental methods.

1.2 Overview

Microscopic quantum systems obey the -dependent Schr¨odingerequation (TDSE) which is a linear differential equation.

d i Ψ(r, t) = Hˆ Ψ(r, t) where Hˆ is the Hamiltonian of the the system ~dt (1.1) 2 d2 Hˆ = − ~ + V (r, t) 2m dr2 Equation (1.1) is time reversible, its solutions are oscillatory or simple exponential decays

Mesoscopic systems obey master equations which are linear differential equations (e.g.Pauli equations)

d~p = K~p ~p : population vector (1.2) dt Equation (1.2) is not time-reversible and its solutions relax towards equilibrium of maxi- mal entropy (2nd law of thermodynamics).

dck Macroscopic systems obey dt = f[cj, ck, cl, ...... ka(τ), kb(τ)...]. In general non-linear differential equations for macroscopic concentration variables. The solutions describe relaxation of the system into equilibrium.

1 1 Introduction and overview

1.3

• Dynamics of the particles are described as trajectories in phase with coordi- nates ~qk and momenta ~pk. • State of system is a point in 6N -dimensional phase space (3N coordinate and 3N momenta)

• Hamiltonian formulation: introduced by (1805-1865), Irish physicist who also introduced Hamilton’s principle, , Hamilton-Jacobi equation, Quaternions, Nabla symbol, tensors etc.) dq ∂H k ≡ q˙ = dt k ∂p k (1.3) dpk ∂H ≡ p˙k = dt ∂qk

• Alternatives: Newton mechanics,

• Many calculations rely on classical mechanics over potential- hyper- surfaces (PES) calculated within the Born-Oppenheimer Approximation (BOA). ”Classical trajectory” methods.

• In many cases, calculation of complete PES is too demanding

• use of empirical field = (MD)

• use of density functional theory (DFT) to calculate → Car-Parrinello molec- ular dynamics

• Nobel prize in chemistry 2013:Martin Karplus: 1964/1965 treated H + H2 reac- tion classically. Kuppermann and Wyatt in 1975 reported full quantum treatment that agrees with classical calculation. Michael Levitt, Ariel Warshell extended classical-trajectory methods to treat complex systems, including molecules of bio- logical interest.

1.4 Quantum mechanics

physical variables correspond to operators

• Classical Hamilton’s equations → quantum mechanical Heisenberg equations.

dˆqk ˙ 1 ≡ qˆk = [ˆqk, Hˆ ] dt i~ dˆpk ˙ 1 (1.4) ≡ pˆk = [ˆpk, Hˆ ] dt i~ Hˆ = Tˆ + Vˆ

2 1 Introduction and overview

N 2 2 2 ! 1 X pˆx,k pˆy,k pˆz,k For N massive point-like particles: Tˆ = + + 2 mk mk mk k=1 ∂ (1.5) wherep ˆ = −i , x ~∂x ∂2 pˆ2 = − 2 x ~ ∂x2 If the interaction between particles can be expressed as a potential, the corre- sponding Vˆ is multiplicative.

• The Heisenberg equations of can be written in matrix form amenable to direct numerical implementation.

• The Schr¨odinger picture is more common: state of system specified by wave func- tion ψ = function of all coordinates and time. Probability density:

2 p(x, y, z, ....., xn, yn, zn, t) = |ψ(x, ....t)| (1.6) = ψ.ψ∗

Temporal evolution of ψ(x, t) given by TDSE

∂ψ(x, t) i = Hψˆ (x, t) (1.7) ~ ∂t Describes evolution of ”pure” or ”dynamical” state. A statistical mixture of many quantum states is described by density operatorρ ˆ ⇒ quantum analogue of classical probability density in phase space.

1.5 Quantum-classical correspondence: the Ehrenfest Theorem

The Ehrenfest theorem relates the time derivative of the expectation value of the momen- ∂Vˆ (q) tum (ˆp) and position (ˆq) operators to the expectation value of the force F = h− ∂t i. The time-dependent expectation value of an operator Aˆ, is defined as follows Z hAˆi = Ψ∗AˆΨdτ (1.8)

Differentiating with respect to time one gets

d d d ∂Aˆ hAˆi = h Ψ|AˆΨi + hΨ|Aˆ Ψi + hΨ| Ψi (1.9) dt dt dt ∂t Using TDSE one can write

∂ i Ψ(r, t) = Hˆ Ψ(r, t) (1.10) ~∂t

3 1 Introduction and overview

∂ i Ψ∗(r, t) = −Hˆ Ψ∗(r, t) (1.11) ~∂t Equation (1.9) can be modified using equations (1.9), (1.10), (1.11)

d 1 1 ∂ hAˆi = h−Hˆ Ψ|AˆΨi + hΨAˆ|Hˆ Ψi + hΨ| AˆΨi dt i i ∂t ~ ~ (1.12) 1 ∂Aˆ = hΨ|[A,ˆ Hˆ ]|Ψi + h i i~ ∂t If the operator Aˆ is not explicitly time-dependent then the equation becomes

d i hAˆi = hΨ|[A,ˆ Hˆ ]|Ψi (1.13) ~dt For the positionq ˆ and momentump ˆ operators one can write, d i~ hqˆi = hΨ|[ˆq, Hˆ ]|Ψi dt (1.14) d i hpˆi = hΨ|[ˆp, Hˆ ]|Ψi ~dt ˆ pˆ2 ˆ Using the Hamiltonian H = 2m + V (q) one can obtain the Ehrenfest theorem d hpˆi hqˆi = (1.15) dt m

d ∂Vˆ hpˆi = h− i (1.16) dt ∂q These equations are not a closed set of ordinary differential equations (ODE), as a ∂Vˆ result it is necessary to know the Ψ in order to calculate h− ∂t i. If equation 1.16 has been more ”classical,”

d ∂V (hqi) hpi = − , (1.17) dt ∂ hqi d ˆ ˆ 0 We expand the derivative of the potential- energy operator writing dq V (q) = V (q) 1 Vˆ 0(q) = Vˆ 0(hqi) + (q − hqi)Vˆ 00(hqi) + (q − hqi)2Vˆ 000(hqi) + ...... (1.18) 2 The expectation value of Vˆ0(q) can be approximated by 1 hVˆ (q)i ' Vˆ 0(hqi) + χVˆ 000(hqi) (1.19) 2 where χ ≡ q2 − hqi2. First term is the classical term and second term is the ”error” made when using the classical expression. This error depends on the width of the wavepacket and the third

4 1 Introduction and overview derivative of the potential. For up to harmonic potentials, the ”error” term vanishes and the classical equation of Ehrenfest can apply. For more general potentials, the ex- pectation values of position and follow the classical trajectories for compact (small width) wavepackets, for short (little wavepacket dispersion) or for nearly harmonic potentials.

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