Landau Zener Transitions Through Small Electronic Eigenvalue Gaps in the Born-Oppenheimer Approximation

Size: px
Start display at page:

Download "Landau Zener Transitions Through Small Electronic Eigenvalue Gaps in the Born-Oppenheimer Approximation"

Transcription

1 Landau Zener Transitions Through Small Electronic Eigenvalue Gaps in the Born-Oppenheimer Approximation George A. Hagedorn Alain Joye Department of Mathematics and Center for Statistical Mechanics and Mathematical Physics Virginia Polytechnic Institute and State University Blacksburg, Virginia , U.S.A. August 26, 997 Abstract We study the propagation of molecular wave packets through the simplest two types of avoided crossings of electronic energy levels in a limit where the gap between the eigenvalues shrinks as the nuclear masses are increased. For these types of avoided crossings, the electron energy levels essentially depend on only one of the nuclear configuration parameters, as is the case for all diatomic molecules. We find that the transition probabilities are of order and are determined by the Landau Zener formula. CPT-95/P.325 Partially Supported by National Science Foundation Grant DMS 9434 Supported by Fonds National Suisse de la Recherche Scientifique, Grant Permanent address: Centre de Physique Théorique, CNRS Marseille, Luminy Case 97, F-3288 Marseille Cedex 9, France and PHYMAT, Université de Toulon et du Var, B.P.32, F La Garde Cedex, France

2 Introduction Because it is not practical to solve the time dependent Schrödinger equation directly, the time dependent Born Oppenheimer approximation is a principal tool for studying molecular dynamics. This approximation makes use of the smallness of the parameter ɛ, where ɛ 4 is the ratio of the mass of an electron to the average of the masses of the nuclei. In the standard time dependent Born Oppenheimer approximation, the electrons and nuclei are treated separately, but their motions are coupled. The electrons move much faster than the nuclei, and they quickly adjust their motion in response to the relatively slow nuclear motion. The electrons remain approximately in a quantum mechanical bound state as though the nuclei were at fixed classical positions. This is the adiabatic approximation for the electrons. The motion of the nuclei is accurately described by the semiclassical approximation because the nuclei have large masses. The electronic and nuclear motions are coupled because the energy level of the electronic bound state depends on the positions of the nuclei, and the electronic energy level plays the role of an effective potential for the semiclassical dynamics of the nuclei. This physical intuition is the basis for rigorous asymptotic expansions of solutions to the molecular time dependent Schrödinger equation [6, 8,, 5, 6]. However, the validity of the approximation is dependent upon the assumption that the electron energy level of interest is well isolated from the rest of the spectrum of the electronic Hamiltonian. Readers interested in the mathematical literature concerning the validity of Born Oppenheimer approximations should consult [2, 3, 4, 6, 8, 9,,, 2, 3, 5, 6, 7, 2, 32, 34, 35, 36, 38, 39, 4, 4, 42]. The assumption that the electron energy level of interest is isolated from the rest of the spectrum can break down in various ways. For example, two electron energy levels may cross one another for some nuclear configurations. The effects of such crossings on molecular propagation have been studied recently in generic minimal multiplicity situations [3, 7, 6]. Another situation where the standard approximation breaks down is an avoided crossing, where two electron energy levels approach close to one another, but do not actually cross. Generic avoided crossings of energy levels that have the minimal multiplicity allowed by the symmetry group have been classified, and normal forms for the electron Hamiltonian near these avoided crossings have been determined [8]. In [8] it is shown that there are six distinct types of these avoided crossings. In this paper we study molecular propagation through the simplest two types of avoided crossings described in [8]. In these types of crossings, the electron energy levels essentially depend on only one parameter in the nuclear configuration space. In practice, this occurs for diatomic molecules, where the electron energy levels depend only on the distance between the nuclei because of rotational symmetry. There are two types of such avoided crossings because of the possible presence of time reversing operators in the symmetry group of the electron Hamiltonian. The details of the situation dictate whether minimal multiplicity energy levels are of multiplicity Type Avoided Crossings or multiplicity 2 Type 2 Avoided Crossings. Our main result is the determination of what happens when a standard time dependent Born Oppenheimer molecular wave packet propagates through one of these avoided crossings if the gap size is on the order of ɛ. Using matched asymptotic expansions we explicitly 2

3 compute approximate solutions to the molecular Schrödinger equation. We observe that to leading order in ɛ, the Landau Zener formula correctly describes the probabilities for the system to remain in the original electronic level or to make a transition to the other electronic level involved in the avoided crossing. To apply the Landau Zener formula in this case, one treats the nuclei as classical point particles to obtain a time dependent Hamiltonian for the electrons. This leads to the study of the adiabatic limit of an effective time dependent system with two levels isolated in its spectrum. The transition probabilty between the levels of such systems in the adiabatic limit is known for a variety of situations [24, 26, 25, 28, 29, 2, 3, 3]. In particular, when the levels display an avoided crossing, the Landau-Zener formula is valid [4, 27, 22, 37, 23]. In our case, we can apply the Landau Zener formula to the resulting time dependent Schrödinger equation for the electrons alone. More precisely, suppose there is a generic Type or Type 2 avoided crossing at nuclear configuration x =. In an appropriate coordinate system, the gap between the electron energy levels is 2 b x + b 2 ɛ 2 + c 2 ɛ 2 + Ox 2 + ɛ 2,. with b and c 2 non-zero. Suppose that a semiclassical nuclear wave packet passes through the avoided crossing with velocity µ, whose first component is µ. Then the probability of remaining in the same electronic state is e πc2 2 /b µ + Oɛ p,.2 for some p >, and the probability of making a transition to the other electronic level involved in the avoided crossing is e πc2 2 /b µ + Oɛ p..3 This result is completely different from what one obtains for the four other types of avoided crossings, where the corresponding probabilities depend on the particular nuclear wave packet involved [9]. The reason is that in Type and Type 2 avoided crossings, every part of the nuclear wave packet passes through the same size minimum gap between the eigenvalues. In Types 3, 4, 5, and 6 avoided crossings, different parts of the nuclear wave packet feel different size gaps as they pass through the avoided crossing. Our results are also completely different from those obtained in the case of true level crossings [6]. For codimension crossings, transition amplitudes produced by crossings are of order ɛ, not order as in the present paper. Furthermore, the dependence of transition amplitudes on the nuclear velocity µ is exponential as opposed to algebraic in the crossing case. Also, although the problem we study in this paper is somewhat less singular than the case of true crossings, the technical details are more difficult. This stems largely from the complicated ɛ dependence of the classical mechanics in our problem. In [6], the classical mechanics had no ɛ dependence. The Hamiltonian for a molecular system with K nuclei and N K electrons has the form Hɛ = K ɛ4 xj j= 2M j N j=k+ 2m j xj + i<j V ij x i x j..4 3

4 Here x j IR l denotes the position of the j th particle, the mass of the j th nucleus is M j for j K, the mass of the j th electron is m j for K + j N, and V ij is the potential between particles i and j. For convenience we assume M j = for j K. We set n = Kl and let x = x, x 2,..., x Kl IR n denote the nuclear configuration vector. We decompose Hɛ as Hɛ = ɛ4 2 x + hx..5 This defines the electronic Hamiltonian hx that depends parametrically on x. The time dependent Schrödinger equation that we study is i ɛ 2 ψ t = Hɛ ψ,.6 for t in a fixed interval. The factor of ɛ 2 on the left hand side of this equation indicates a particular choice of time scaling. Other choices could be made, but this choice is the distinguished limit [] that produces the most interesting leading order solutions. With this scaling, all terms in the equation play significant roles at leading order, and the nuclear motion has a non-trivial classical limit. This is also the scaling for which the mean initial nuclear kinetic energy is held constant as ɛ tends to zero. In this paper we are interested in the simplest types of electronic transitions that are not associated with level crossings. If the Hamiltonian has the form.5, then to arbitrarily high order in powers of ɛ, the solutions to.6 have no electronic transitions [8, ]. There are no known rigorous results about infinite order processes in the time dependent Born Oppenheimer approximation. However, in real molecular systems, only a single value of ɛ is usually of interest, and hx may have two eigenvalues that approach one another with a minimum gap size that is of the same order of magnitude as the relevant value of ɛ. Under these circumstances, there can be significant transitions between electon energy levels. To generate useful rigorous information about these transitions without the difficulties of going beyond infinte order, we assume the electron Hamiltonian of interest can be embedded in an ɛ dependent family that has a crossing when ɛ =. This is in the same spirit as dealing with quantum mechanical resonances as perturbations of eigenvalues embedded in the continuous spectrum. Thus, we study solutions to.6 where the Hamiltonian has the form Hɛ = ɛ4 2 x + hx, ɛ,.7 with the assumption that hx, ɛ has an Avoided Crossing according to the following definition: Definition Suppose hx, ɛ is a family of self adjoint operators with a fixed domain D in a Hilbert Space H, for x Ω and ɛ [, α, where Ω is an open subset of IR n. Suppose that the resolvent of hx, ɛ is a C 4 function of x and ɛ as an operator from H to D. Suppose hx, ɛ has two eigenvalues E A x, ɛ and E B x, ɛ that depend continuously on x and ɛ and are isolated from the rest of the spectrum of hx, ɛ. Assume 4

5 Γ = { x : E A x, = E B x, } is a single point or non-empty connected proper submanifold of Ω, but that for all x Ω, E A x, ɛ E B x, ɛ when ɛ >. Then we say hx, ɛ has an Avoided Crossing on Γ. Remark: Realistic molecules have Coulomb potentials which give rise to electron Hamiltonians that do not satisfy the smoothness assumptions of this definition. However, one should be able to accommodate Coulomb potentials by using the regularization techniques of [,, 35]. Avoided Crossings of minimal multiplicity energy levels are classified in [8], and normal forms for the electron Hamiltonian near Γ are derived. When Γ has codimension, there are two types. To describe these, we need some notation. Assume without loss of generality that is a generic point of Γ, and decompose with and hx, ɛ = h x, ɛ + h x, ɛ.8 h x, ɛ = hx, ɛp x, ɛ.9 h x, ɛ = hx, ɛi I P x, ɛ. where P x, ɛ is a spectral projector of hx, ɛ associated with E A x, ɛ and E B x, ɛ. In a Type Avoided Crossing, Γ has codimension and the two eigenvalues each have multiplicity. There exists [8] an orthonormal basis {ψ x, ɛ, ψ 2 x, ɛ} of P x, ɛh, which is regular in x, ɛ around,. In this basis, h x, ɛ has the form h x, ɛ = h x, ɛ + Ṽ x, ɛ βx, ɛ γx, ɛ + iδx, ɛ = + Ṽ x, ɛ. γx, ɛ iδx, ɛ βx, ɛ where Ṽ x, ɛ = tracehx, ɛp x, ɛ is a regular function of x, ɛ around the origin and βx, ɛ = b x + b 2 ɛ + O2.2 γx, ɛ = c 2 ɛ + O2 δx, ɛ = O2 Ṽ x, ɛ = O where b >, c 2 >, b 2 IR and m/2 n Om = O, x = ɛ..3 x 2 j j= Type 2 Avoided Crossings are similar, except that the minimal multiplicity of eigenvalues allowed by the symmetry group is 2. Near one of these avoided crossings, one can choose 5

6 an orthonormal basis {ψ x, ɛ, ψ 2 x, ɛ, ψ 3 x, ɛ, ψ 4 x, ɛ, } of P x, ɛh, which is regular in x, ɛ around,. In this basis, h x, ɛ has the form h x, ɛ = h x, ɛ + Ṽ x, ɛ βx, ɛ γx, ɛ + iδx, ɛ γx, ɛ iδx, ɛ βx, ɛ = βx, ɛ γx, ɛ + iδx, ɛ γx, ɛ iδx, ɛ βx, ɛ + Ṽ x, ɛ,.4 where β, γ, δ, and Ṽ are as above [8]. Throughout the paper we assume that the nuclei move transversally through Γ at the point. This means the classical momentum associated with their semiclassical wave packets has a non-trivial component in the x direction when their classical position is passing through Γ. Precise statements of our results require a considerable amount of notation and are presented in Theorems 3. and 4. for Type and Type 2 Avoided Crossings, respectively. We have stated these theorems with the incoming state associated with the lower of the two relevant levels. The analogous results with the incoming state associated with the upper level are also true and proved in the same way, with the obvious changes. Immediate corollaries of the two theorems are that the Landau Zener formula described above gives the correct transition probabilities in each case. The main technique we use is matched asymptotic expansions. We use the standard time dependent Born Oppenheimer approximate solutions to the Schrödinger equation when the nuclei are far enough away from Γ. We match these to inner solutions when the system is near Γ and the standard approximation breaks down. The paper is organized as follows: In Section 2 we discuss the ordinary differential equations whose solutions will be used to describe the semiclassical motion of the nuclei. In Section 3 we discuss semiclassical nuclear wave packets and adiabatic motion of the electrons. We then prove our main result for Type Avoided Crossings, Theorem 3. by using matched asymptotic expansions. In Section 4 we state our main result, Theorem 4., for Type 2 Avoided Crossings and describe the modifications of Section 3 that are required to prove this result. Acknowledgements. George Hagedorn wishes to thank the Centre de Physique Théorique, C.N.R.S., Marseille for its hospitality during July 994. Alain Joye wishes to thank Virginia Polytechnic Institute and State University for its hospitality during August October 994 and July September 995, and the Fonds National Suisse de la Recherche Scientifique for financial support. 6

7 . A Convenient Change of Variables We consider the Schrödinger equation iɛ 2 t ψx, t = ɛ4 ψx, t + hx, ɛψx, t.5 2 In order to get rid of ɛ-dependence in the leading order of βx, ɛ in., we introduce the new variables b 2 ɛ x = b x +., ɛ = c 2 ɛ, t = b 2 /c 2 2t..6 In terms of these new variables, the Schrödinger equation.5 for becomes φx, t = ψxx, ɛ, tt.7 iɛ 2 t φx, t = ɛ 4 2 φx, t + c4 2 hxx, ɛ, ɛɛ φx, t.8 b 2 in the limit ɛ, with x h xx, ɛ, ɛɛ = ɛ ɛ x + O2 + Ṽ xx, ɛ, ɛɛ.9 where Ṽ xx, ɛ, ɛɛ is regular in x, ɛ around, and O2 refers to x and ɛ. We introduce the fixed parameter r = c 4 2/b 2 > and henceforth drop the primes on the new variables. We assume that h x, ɛ has the form. with the following local behavior around x = and ɛ = : with r >. βx, ɛ = rx + O2.2 γx, ɛ = rɛ + O2 δx, ɛ = O2 Ṽ x, ɛ = O 2 Ordinary Differential Equations of Semiclassical Mechanics In Section 3. we introduce semiclassical wave packets for the nuclei. The leading order semiclassical motion for these wave packets is determined by the solutions to certain systems of ordinary differential equations. These involve classical mechanics, the classical action associated with a classical trajectory, and the dynamics of certain matrices that describe the position and momentum uncertainties of the wave packets. The goal of this section is 7

8 to study the small ɛ behavior of these classical quantities that we need for the asymptotic matching procedure that we use in Section 3 to prove our main results. We define V A B x, ɛ = Ṽ x, ɛ ± β 2 x, ɛ + γ 2 x, ɛ + δ 2 x, ɛ 2. where x IR n, ɛ >. Let a C t and η C t be the solutions of the classical equations of motion d dt ac t = η C t 2.2 d dt ηc t = V C a C t, ɛ, C = A, B. with initial conditions a C = 2.3 η C = η ɛ, with η ɛ = η + Oɛ, and η >, where the Oɛ term depends on whether C is A or B. Noticing that it follows from.2 that βx, ɛ, γx, ɛ and δx, ɛ are O, and using estimates of the type β/ β 2 + γ 2 + δ 2, we see that V C x, ɛ = O. 2.4 This last condition implies the existence and uniqueness of the solutions of 2.2. The small ɛ perturbation theory for solutions to 2.2 and 2.3 is not simple because of the presence of two different time scales. To overcome the difficulties, we use matched asymptotic expansions. When t is large compared to ɛ, we use a formal perturbation expansion, where the unperturbed problem is the classical mechanics associated with the potential V C x,. This gives rise to the incoming outer solution for t < and the outgoing outer solution for t >. These outer solutions are not valid approximations unless t is large compared to ɛ. When t is small compared to ɛ 2/3, we use a different expansion to construct the inner solution that depends on the rescaled independent variable s = t/ɛ. The technical difficulties are to prove the validity of these approximate solutions and to prove that the inner and outer approximations agree with one another to the appropriate order in ɛ in the matching regimes where ɛ t ɛ 2/3. 2. Small t Asymptotics In order to get started, we need preliminary information about the behavior of the solution of 2.2, 2.3 when both t and ɛ are small. Lemma 2. Let a C t and η C t be the solutions of 2.2 and 2.3. If ɛ and t are small enough, we have { a C t = η ɛt + Ot 2 as t, uniformly in ɛ. η C t = η ɛ + Ot 8

9 Proof: We mimic the proof of [6], p.82. Let us drop the index C in the notation. We want to show that there exists T >, such that at = η ɛt + ut, ɛ 2.5 bt = η ɛ + vt, ɛ where ut, ɛ/t 2 and vt, ɛ/t are uniformly bounded if ɛ 2 + t 2 < T 2, i.e., if t, ɛ B T. We let Y T be the Banach space of pairs of bounded, continuous in t, vector valued functions for t, ɛ B T, with the norm u v u For Y v T, we define Y T = sup t,ɛ B T ut, ɛ/t 2 + sup vt, ɛ/t. 2.6 t,ɛ B T u t vs, ɛds F = v t V. 2.7 η ɛs + us, ɛ, ɛds Due to the estimate 2.4, F maps Y T into Y T, and furthermore, any fixed point of F gives rise to a solution of 2.2, 2.3 by way of 2.5. If we show that F is a strict contraction, it follows from the contraction mapping principle that the solution of 2.2, 2.3 exists, is unique and satisfies the assertion of the lemma. We show that this is the case for T small enough. Let u v, u2 v 2 Y T and let us estimate the norm of u3 v 3 = F u v F u 3 t, ɛ/t 2 = t v t 2 s, ɛ v 2 s, ɛds 2.8 u2 t s sup v t 2 t, ɛ v 2 t, ɛ ds t,ɛ B T u u v v 2 Y T For the other component we use the mean value theorem V η ɛs + u s, ɛ, ɛ V η ɛs + u 2 s, ɛ, ɛ 2. = V 2 ζs, ɛ, ɛu s, ɛ u 2 s, ɛ where V 2 stands for the Hessian of V and ζs, ɛ = η ɛs + u s, ɛ + θs, ɛu 2 s, ɛ u s, ɛ 2. with θs, ɛ ], [. There will appear several constants, independent of ɛ in the sequel which we shall denote generically by c. By hypothesis, u j s, ɛ cs 2, j =, 2, uniformly in ɛ and η ɛ = η + Oɛ with η >. Consequently, there exists a constant c, independent of ɛ, such that v 2. ζ s, ɛ c s

10 By explicit computation we get, omitting the arguments x, ɛ V 2 = Ṽ 2 ± β β + γ γ + δ δ β 2 + γ 2 + δ 2 /2 +ββ 2 + γγ 2 + δδ 2 β 2 + γ 2 + δ 2 /2 β β + γ γ + δ δ β β + γ γ + δ δ β 2 + γ 2 + δ 2 3/ Using the behaviors.2 again and estimates of the type βγ/β 2 + γ 2 + δ 2, we get V 2 x, ɛ c β 2 x, ɛ + γ 2 x, ɛ + δ 2 x, ɛ where c is independent of x, ɛ. Then, 2.4 β 2 x, ɛ + γ 2 x, ɛ + δ 2 x, ɛ = r 2 x 2 + ɛ 2 + O3, 2.5 with ζs, ɛ = Os and 2.2 we get β 2 x, ɛ + γ 2 x, ɛ + δ 2 x, ɛ x=ζs,ɛ = r 2 ζ 2 s, ɛ + ɛ 2 + Os 3 + ɛ 3 if s is small enough. Hence c ζ 2 s, ɛ + ɛ 2 cs V 2 ζs, ɛ, ɛu 2 s, ɛ u s, ɛ c u 2 s, ɛ u s, ɛ / s c s u u2, 2.7 v v 2 Y T for some c independent of ɛ. Thus v 3 t, ɛ / t c t s t c t u 2 v u v u2 v 2 u2 Choosing T small enough so that c t /2 /2, we get the result. v 2 Y T Y T. 2.8 If we replace the potential V C x, ɛ by Ṽ x, ɛ which is regular as x and ɛ, we can go further in the asymptotics, as is easily checked. Lemma 2.2 Let at and ηt be the solutions of 2.2 and 2.3 with V C x, ɛ If ɛ and t are small enough, we have Ṽ x, ɛ. { at = η ɛt Ṽ, ɛ t2 2 + Ot3 ηt = η ɛ Ṽ, ɛt + Ot2 as t, uniformly in ɛ.

11 2.2 Asymptotics for Inner Solution To construct the inner solution, we define rescaled quantities s and z C s by t = ɛs a C t = ɛz C s In terms of these new variables, equations 2.2 and 2.3 become d 2 ds 2 zc s = ɛ V C ɛz C s, ɛ 2.2 d ds zc = η ɛ z C =. We construct the inner solution by making the ansatz that z C s = z C s + ɛz C s +... and computing the functions z C s, ɛz C s,.... For our purposes, it is sufficient to truncate the expansion after two terms and to use a C t = ɛz C t/ɛ + ɛ 2 z C t/ɛ as our inner solution. The following proposition gives a precise statement that this is a valid approximation to the exact solution in the appropriate time regime defined by the conditions: s, ɛ and ɛs 3. Proposition 2. Let z C s be the solution of 2.2. behaviors for small values of ɛ and ɛs 3 : We have the following asymptotic where z C s = z C s + ɛz C s + Oɛ 2 s 3 d ds zc s = d ds zc s + ɛ d ds zc s + Oɛ 2 s 2, z A B s = η ɛs, z A B s = Ṽ, ɛs2 2 ± [ r η ɛ s r 2ηɛ s ηɛs r ] 2ηɛ ln ηɛs + ηɛs Proof: The idea is to expand the potential V C ɛz C s, ɛ around the origin in IR n+ and to insert an a priori expansion of the type z C s = z C s + ɛz C s + ɛ 2 z C 2 s

12 in 2.2. Then we solve the resulting equations order by order in ɛ, using η ɛ = Oɛ and lemma 2.. We let w C s denote the first component of z C s and write V A B ɛz C s, ɛ = Ṽ, ɛ 2.23 ɛw A B s { r. + O2 ɛ 2 w A 2 /2 B s + ɛ 2 + O3} + O, where On is to be understood with ɛz in place of x. Note that ɛs 3 implies ɛs 2 and ɛs. Since by lemma 2., z C s = η ɛs + Oɛs 2, 2.24 where ɛs 2 is small, we have On = Oɛ n s n, and the equation reads d 2 ds z A 2 B s = ɛ Ṽ, ɛ + Oɛ2 s 2.25 w A B s { } rɛ. + Oɛ2 s 2 w A 2 /2 B s + + Oɛs 3 as ɛs 3 and ɛ. Thus the leading order of the equation for the lowest term in ɛ of the expansion 2.22 becomes d 2 ds 2 zc s = 2.26 so that, with the initial conditions z C = and d ds zc = η ɛ, see 2.2, we get, as expected, z C s = η ɛs Then the leading order of the equation for the next term in the expansion 2.22 yields d 2 ds z A B 2 s = Ṽ, ɛ r ηɛs ηɛs The initial conditions are now z A B = and d z A B ds =, which gives z A B s = Ṽ, ɛs2 2 ± [ r ηɛ s r 2ηɛ s ηɛs r ] + 2ηɛ ln ηɛs + ηɛs

13 Let us estimate the difference between the actual solution of 2.2 and the formal approximation just constructed. We compute d 2 z AB A s z B ds 2 s ɛz A B s 2.3 w = ɛr. A B s η ɛs w A 2 B η s + + Oɛs3 ɛs 2 + Oɛ 2 s 2 +. w A B 2 s + + Oɛs3 From lemma 2. and the property ɛs, we have w A 2 /2 B s + + Oɛs 3 = ηɛs Oɛs /2 and finally d 2 ds 2 z AB s z A B s ɛz A B s = η ɛs 2 + /2 + Oɛ, 2.3 = Oɛ 2 s By integration, and taking the initial conditions into account, we get d z AB A s z B s ɛz A B ds s = Oɛ 2 s 2, 2.33 z A A B s z B s ɛz A B s = Oɛ 2 s Corollary 2. Further expanding we get in the same regime in the limit s z A B s = η ɛs Ṽ, ɛɛs2 2 ± r ηɛ ɛs. [ rsigns ɛ s2 ln s + ɛ 2 2η 2 ɛ + ɛ 4η 2 ɛ + ɛ ] ln2η ɛ 2η 2 ɛ +Oɛ/s 2 + Oɛ 2 s The asymptotics for d ds zc s in the same regime are obtained by termwise differentiation of the above formulae up to errors Oɛ/s 3 + Oɛ 2 s 2. Remark: The remainders in these formulae tend to zero in the inner regime, since we assume ɛs 3. So, we only make use of the inner solution when s ɛ ξ, with < ξ < /

14 2.3 Asymptotics for the Outer Solutions We now construct the outer solutions to 2.2 and 2.3 that are valid approximations to the exact solutions when t is large compared to ɛ. To do so, we assume an expansion of the form a C t = a C t + g ɛa C t + g 2 ɛa C 2t and substitute it into the equation. We expand V C a C t, ɛ accordingly, using the condition ɛ/t and lemma 2. again, and solve the resulting equations for a C j t, order by order, the dependence in ɛ of the g j ɛ being determined in the course of the computation by matching the inner solution. We have to deal with the two cases t > separately. The constants of < integration are determined by matching with the asymptotics obtained for the inner solution. For our purposes we define the outer solutions by truncation of the expansions after the terms of order ɛ 2. Proposition 2.2 Let a C t be the solution of 2.2 and 2.3. In the regime ɛ, t, t /ɛ and t 3 /ɛ 2 we have the asymptotics a A B t = Ṽ, ɛt2 2 + η ɛt ± r ηɛ ɛt. signt [ r t Ot 3 + Oɛ 4 /t 2 ɛ2 ln t 2ηɛ 2 + ɛ 2 ] 4ηɛ ln2η ɛ ɛ2 ln ɛ 2ηɛ 2. The asymptotics for η C t in the same regime is obtained by termwise differentiation of the above formulae up to errors Ot 2 + Oɛ 4 /t 3. Proof: For convenience, we drop the ɛ-dependence of η in the notation. We have V A B a C t, ɛ = ± Ṽ, ɛ + O 2.38 a C t r. + O2 a C t + ɛ/a C t 2 + O3/a C t 2 where On with a C t = Ot in place of x and ɛ/t gives On = Ot n With the property a C t c t 2.4 4

15 for a constant c uniform in ɛ, we get for the leading order r d 2 dt a A B 2 t = Ṽ, ɛ signt By integration r a A B t = Ṽ, ɛt2 2 signt t C ɛt + C ɛ 2.42 where C and C are time independent vectors. Comparing with the expansion of the inner solution in corollary 2. we deduce C ɛ = η ɛ ± ɛr ηɛ C ɛ = Note that the ɛ-dependence of the a A B j t will cause no problem, see below. Let us determine the next order. Using 2.39 and 2.4, we further expand + ɛ/a C t 2 + O3/a C t 2 / to get the equation = ɛ2 2a C2 t + Ot + Oɛ4 /t 4 d 2 dt a A B 2 t + g ɛa A B t = Ṽ, ɛ signtr. ɛ ±signt. 2 r + O t + Oɛ 4 /t 4. 2 a A B t + g ɛa A B t + 2 Thus, it follows from 2.4 and 2.42 that the next order must satisfy g ɛ d2 dt a A B ɛ 2 t = ±signt. 2 r 2ηt

16 Comparison with the asymptotics of the inner solution shows that we must choose g ɛ = ɛ 2 and integration yields r a A B t = signt. r 2 ln t + D ɛt + D ɛ η where D ɛ and D ɛ are constant vectors in IR n. By matching with corollary 2., we get D ɛ = 2.49 [ r D ɛ = signt. 2η 2 /2 + ln2η r ln ɛ ] 2η 2. We now have to show that equations 2.42 and 2.48 correctly give the asymptotic behavior of a C t in the chosen regime. We compute d 2 dt a A A 2 B t a B t ɛ 2 a A B t 2.5 = Ṽ a A B t, ɛ + Ṽ, ɛ r. + ɛ/a C t 2 + Ot + ɛ2 2ηt 2 +Ot/ + Oɛ 2 /t 2 + Ot. Using lemma 2. again we have /2 + ɛ2 a C2 t + Ot where ɛ 2 /t = Ot. Finally d 2 = ɛ2 2a C2 t + Ot + Oɛ4 /t = ɛ2 2η t 2 + Oɛ2 /t + Ot + Oɛ 4 /t 4 dt a A A 2 B t a B t ɛ 2 a A B t = Ot + Oɛ 4 /t from which the result follows. 2.4 Classical Action Integrals In Section 4 we construct quantum mechanical wave functions by using matched asymptotic expansions. To do so, we need the small t asymptotics of classical action integrals associated 6

17 with the outer solutions. Let t S C t = ηc2 t V C a C t, ɛ dt = t η C2 t dt η 2 ɛ t 2 V C a C, ɛt, 2.54 and let St be the same quantity for V C x, ɛ Ṽ x, ɛ. From lemma 2.2 we easily deduce Lemma 2.3 As t, St = η 2 ɛ t 2 Ṽ, ɛt η ɛ Ṽ, ɛt2 + Ot 3, 2.55 uniformly in ɛ. From proposition 2.2, and the formula V A B, ɛ = Ṽ, ɛ ± ɛr + Oɛ Lemma 2.4 In the regime ɛ, t, t /ɛ and t 3 /ɛ 2 we have the asymptotics S A B t = S A B ɛ, signt Ṽ, ɛt + η2 ɛ t 2 η ɛ Ṽ, ɛt2 ± rɛt signt rηɛt 2 + r ηɛ ɛ2 ln t + Ot 3 + Oɛ 4 /t 2 + Oɛ 3 ln t. 2.5 Different Initial Momenta For later purposes, we assume from now on that the solution at of 2.2 with V C x, ɛ Ṽ x, ɛ is subject to the initial conditions a = 2.57 η = η whereas the solutions a C t satisfy a C = 2.58 η C = η ɛ = η + Oɛ. The Oɛ term must be included in our calculations because when the electrons makes a transition from one energy level surface to another, the nuclei must compensate by making a change in their kinetic energy in order to conserve the total energy of the whole system. We easily get the estimates Corollary 2.2 When ɛ, t, t 3 /ɛ 2 and t /ɛ we have η A B tat a A B t = rɛt η ɛ η η ɛt [ rη ±signt ɛ t 2 + r ɛ 2 ln t + ɛ 2 ln2η 2 2η ɛ + /2 ɛ 2 ln ɛ ] ɛ +Ot 3 + Oɛ 4 /t 2 + Otɛ 2 ln ɛ 7

18 and Corollary 2.3 When ɛ, t, t 3 /ɛ 2 and t /ɛ we have S A A B t = S B ɛ, signt + St + η 2 ɛ η 2 t 2 ± rɛt signt rηɛt 2 + r ηɛ ɛ2 ln t +Ot 3 + Oɛ 4 /t 2 + Oɛ 3 ln t. 2.6 Matrices A C t and B C t The construction of the semiclassical wave packets that describe the nuclei requires the computation of matrices which are defined by means of classical quantities. Let A C t and B C t be the matrix solutions of the linear system d dt AC t = ib C t 2.59 d dt BC t = iv 2 a C t, ɛa C t where a C t is the solution of 2.2 and 2.3, with initial conditions A C = A B C = B. 2.6 To do asymptotic matching, we need the small t asymptotics of A C t and B C t. We first determine the leading order behavior of V 2 a C t, ɛ for small t and ɛ. From 2.3 and.2 it is easily seen that the Hessian matrix β 2 + γ 2 + δ 2 2 = δ 2 + γ 2 β β + O3 β 2 + γ 2 + δ 2 3/2, 2.6 where we have used the same notation as earlier. More explicitly, 2 rɛ 2 P + O3 β 2 x, ɛ + γ 2 x, ɛ + δ 2 x, ɛ = 2.62 x 2 + ɛ 2 + O3 3/2 where P = When x is replaced by a C t = η ɛt + Ot 2, the error terms O3 become O t + ɛ 3 and using a C t c t, we obtain a C t 2 + ɛ 2 + O3 3/2 = η ɛ t 2 + ɛ 2 3/2 + O t + ɛ

19 This last estimate allows us to find the leading order behavior of V 2 a C t, ɛ as ɛ and t : V 2 a A B t, ɛ = ± rɛ 2 η ɛt 2 + ɛ 2 3/2 P + Oɛ + t Consequently, for any positive ɛ, the equation defining A C and B C is regular as t. Moreover, Proposition 2.3 Let A C t and B C t be the solutions of 2.59 and 2.6. For t and ɛ small enough, we have A A B t = A + Ot B A B t = B ± irp A t η ɛt 2 + ɛ 2 + Ot, uniformly in ɛ. Proof: Equations 2.59 and 2.6 are equivalent to the linear system d dt A C t B C = i t IO V 2 a C t, ɛ I IO A C t B C, t A C A B C =, 2.66 B where IO andi are the n n zero and unity matrices. Moreover, the generator is continuous and uniformly bounded for all t small enough, so that the solution exists, is unique, and satisfies the integral equation A C t A B C = + i t B Introducing the norm D = t B C t V 2 a C t, ɛa C t dt sup Dt, ɛ 2.68 t,ɛ B T on the set of matrices depending on t and ɛ, we get t B C t dt B C t, 2.69 t t V 2 a C t, ɛa C t dt A C V 2 a C t, ɛ dt, 2.7 where, by virtue of 2.65, t V 2 a C t, ɛ dt c t ɛ 2 3/2 + dt t 2 + ɛ 2 t = c + ct c + T C 2.7 t2 + ɛ2 9

20 uniformly in ɛ. Consequently, we get the estimates A C A t B C B + t B 2.72 B C B C A C A + C A 2.73 which imply A C A Ct A C A + t C A + B Hence, if t is so small that Ct /2, and A C A 2t C A + B 2.75 A C t = A + Ot 2.76 uniformly in ɛ. The use of this estimate and 2.65 in 2.67 yields t B A B t = B ± iɛ 2 dt rp A + Ot 2.77 ηt 2 + ɛ 2 3/2 t ɛ 2 t dt +O ηt 2 + ɛ 2 3/2 t = B ± irp A ηt 2 + ɛ + Ot + O ɛt 2 ηt 2 + ɛ 2 t = B ± irp A ηt 2 + ɛ + Ot. 2 Corollary 2.4 In the regime ɛ, t and t /ɛ we have B A B t = B signt ir η ɛ P A + Ot + Oɛ 2 /t 2 B A B signt + Ot + Oɛ 2 /t 2. 3 Type Avoided Crossings We now have all the ingredients required to construct an asymptotic solution to the equation iɛ 2 t ψx, t = ɛ4 ψx, t + hx, ɛψx, t 3. 2 as ɛ. Let us describe the building blocks and give their main properties. 2

21 3. Semiclassical Nuclear Wave Packets The semiclassical motion of the nuclei is described by means of wave packets to be thought of as centered in phase space on the classical trajectory, and of width Oɛ. These are the same wave packets that are used in [7, 6]. Let n denote the dimension of the space of nuclear configurations. A multi-index l = l, l 2,..., l n is an ordered n-tuple of non negative integers. The order of l is defined to be l = n j= l j, and the factorial of l is defined to be l! = l!l 2! l n!. The symbol D l denotes the differential operator D l = l, and the symbol x l x 2 l 2 x n ln xl denotes the monomial x l = x l x l 2 2 x ln n. We denote the gradient of a function f by f and the matrix of second partial derivatives by f 2. We view IR n as a subset of IC n, and let e i denote the i th standard basis vector in IR n or IC n. The inner product on IR n or IC n is v, w = n j= v j w j. The semiclassical wave packets we use are products of complex Gaussians and generalizations of Hermite polynomials. The generalizations of the zeroth and first order Hermite polynomials are H x = 3.2 and H x = 2 v, x, 3.3 where v is an arbitrary non zero vector in IC n. The generalizations of the higher order Hermite polynomials are defined recursively as follows: Let v, v 2,..., v m be m arbitrary non zero vectors in IC n. Then H m v, v 2,..., v m ; x = 2 v m, x H m v, v 2,..., v m ; x 2 m i= v m, v i H m 2 v,..., v i, v i+,..., v m ; x. One can prove [7] that these functions do not depend on the ordering of the vectors v, v 2,..., v m. Furthermore, if the space dimension is n = and the vectors v, v 2,..., v m are all equal to IC, then H m v, v 2,..., v m ; x is equal to the usual Hermite polynomial H m x. Now suppose A is a complex invertible n n matrix. We define A = [AA ] /2, where A denotes the adjoint of A. By the polar decomposition theorem, there exists a unique unitary matrix U A, such that A = A U A. Given a multi-index l, we define the polynomial H l A; x = H l U A e,..., U A e }{{, U } A e 2,..., U A e 2,..., U }{{} A e n,..., U A e n ; x 3.4 }{{} l entries l 2 entries l n entries We can now define the semiclassical wave packets ϕ l A, B, h, a, η, x. In the Born Oppenheimer approximation, the role of h is played by ɛ 2. Definition. Let A and B be complex n n matrices with the following properties: A and B are invertible; 3.5 BA is symmetric [real symmetric] + i[real symmetric]; 3.6 Re BA = 2 [BA + BA ] is strictly positive definite; 3.7 Re BA = AA

22 Let a IR n, η IR n, and h >. Then for each multi-index l we define ϕ l A, B, h, a, η, x = 2 l /2 l! /2 π n/4 h n/4 [det A] /2 H l A; h /2 A x a exp { x a, BA x a /2 h + i η, x a / h }. The choice of the branch of the square root of [det A] in this definition depends on the context, and is determined by initial conditions and continuity in time. Remarks.. We never use the functions ϕ l A, B, h, a, η, x unless conditions are satisfied. 2. Condition 3.8 is equivalent to the more symmetrical condition A B + B A = 2I, I For fixed A, B, h, a, and η, the functions ϕ l A, B, h, a, η, x form an orthonormal basis of L 2 IR n. The proof can be found in [7]. 4. Generically U A and U B are complex unitary matrices, and A and B are Hermitian. In the special cases when they all happen to be real, the functions ϕ l A, B, h, a, η, x are simply rotated and dilated eigenfunctions of the n dimensional harmonic oscillator. 5. The utility of the functions ϕ l A, B, h, a, η, x stems from their remarkably beautiful behavior under Fourier transforms. If we define the scaled Fourier transform to be then [ F h Ψ ]ξ = 2π h n/2 IR n Ψx e i ξ, x / h dx, 3. [ F h ϕ l A, B, h, a, η, ]ξ = i l e i η, a / h ϕ l B, A, h, η, a, ξ. 3. The only proof we know of this formula involves a messy induction on l. The details may be found in [7]. 6. The functions ϕ l A, B, h, a, η, x separate the position and momentum uncertainties from one another. For any given l, the position uncertainty depends only on A and the momentum uncertainty depends only on B. For example, when the space dimension is n =, the position and momentum uncertainites of ϕ l A, B, h, a, η, x are given by [l + 2 h]/2 A and [l + 2 h]/2 B, respectively. 7. For technical reasons related to Remark 6, it is crucial that the matrix B only appear in the exponent in the definition of ϕ l A, B, h, a, η, x, and not in the polynomial. By Remark 5, the matrix A only occurs in the exponent of the Fourier transform. This turns out to be technically crucial, also. The fulfillment of these technical requirements makes the Fourier transform formula in Remark 5 all the more amazing. The formulas for the functions ϕ l A, B, h, a, η, x are rather complicated, but the leading order semiclassical propagation of these wave packets is very simple. Under mild hypotheses e.g., V C 3 and bounded below, the Schrödinger equation i h Ψ t = h2 2 2 Ψ x 2 + V x Ψ

23 has an approximate solution of the form e ist/ h ϕ l At, Bt, h, at, ηt, x + O h / Here O h /2 means that the exact solution and the approximate solution agree up to an error whose norm is bounded by an l dependent constant times h /2 for t in a fixed bounded interval [ T, T ]. The vectors at and ηt satisfy the classical equations of motion a t t = ηt, 3.4 η t t = V at. 3.5 The function St is the classical action integral associated with the classical path, t ηs 2 St = V as ds. 3.6 T 2 The matrices At and Bt satisfy A t t = ibt, 3.7 B t t = iv 2 at At. 3.8 If A T and B T satisfy conditions , then so do At and Bt for each t. The proofs of the claims we have made about the ϕ l A, B, h, a, η, x and other properties of the quantities introduced can be found in [7]. Consider ϕ l defined in 3.9. Since the vectors and matrices a, η, A and B will be replaced in these functions by a C t, η C t, A C t and B C t solutions of 2.2 and 2.59, we need to control the changes of ϕ l induced by changes in a, η, A and B. Lemma 3. We have, in the L 2 IR n sense, ϕ l A, B, ɛ 2, a,, x = ϕ l A, B, ɛ 2, a,, x Proof: Let us introduce the temporary notation so that Consider +O A A + B B + a a /ɛ. ψa, B, y = ϕ l A, B,,,, y 3.9 ϕ l A, B, ɛ 2, a,, x = ɛ n/2 ψa, B, x a/ɛ. 3.2 ψa + A, B + B, x a a /ɛ ψa, B, x a/ɛ = ψa + A, B + B, x a a /ɛ ψa + A, B, x a a /ɛ +ψa + A, B, x a a /ɛ ψa, B, x a a /ɛ +ψa, B, x a a /ɛ ψa, B, x a/ɛ

24 We separately estimate each of the three differences on the right hand side of this equation. We compute the Fréchet differential, D B ψa, B, yb = 2 ψa, B, y y B A y, 3.22 so that by the mean value theorem, ψa + A, B + B, x a a /ɛ ψa + A, B, x a a /ɛ 3.23 sup ψa + A, B + tb, x a a /ɛ x a a 2 A + A B. t [,] ɛ 2 But, since by assumption Re BA is strictly positive definite, and ha, A y = 2 l /2 l! /2 π n/4 det A /2 H la, A y 3.24 is a polynomial of degree l in its second variable, we have, for A, B small enough, and for any positive p, ɛ n exp x a a B + B A + A x a a /2ɛ 2 2 = IR n IR n n p A, B, x a a /ɛ p dx exp y B + B A + A y /2 2 y p dy uniformly in A, B, a and a. Thus, for some constant depending only on A and B, ɛ n/2 ψa + A, B + B, a a /ɛ 3.25 ψa + A, B, a a /ɛ L 2 IR n CA, B B This estimate together with the Plancherel identity and 3. yield ɛ n/2 ψa + A, B, a a /ɛ ψa, B, a a /ɛ L 2 IR n ɛ n/2 [ F h Ψ ]A + A, B, a a /ɛ [ F h Ψ ]A, B, a a /ɛ L 2 IR n = ɛ n/2 ψb, A + A, + a + a /ɛ ψb, A, + a + a /ɛ L 2 IR n CB, A A Finally, using the notation given in 3.24, where ψa, B, y ψa, B, y + y sup D y ψa, B, y + ty y 3.28 t [,] D y ψa, B, yy = 2 ψa, B, y y BA y + y BA y + exp y BA y /2 D 2 ha, A y A y

25 Thus we can write ɛ n/2 ψa, B, x a a /ɛ ψa, B, x a/ɛ ɛ n/2 sup exp x a ta /ɛ BA x a ta /ɛ /2 t [,] P A, A x a ta /ɛ a /ɛ = ɛ n/2 exp x a t a /ɛ BA x a t a /ɛ /2 P A, A x a t a /ɛ a /ɛ 3.3 where P A, y is a polynomial of order l in y and [, ] t = t A, B, a, a, ɛ is the point where the supremum is reached. Hence, using 3.25 again, we deduce ɛ n/2 ψa, B, x a a /ɛ ψa, B, x a/ɛ L 2 IR n C A, B a /ɛ 3.3 for some constant C A, B uniform in a, a and t. 3.2 The Choice of Eigenvectors In this section we present a procedure for choosing the electronic eigenvectors and their phases. Although the electronic hamiltonian is independent of time, it is convenient, since we deal with the time dependent Schrödinger equation, to choose specific time dependent electronic eigenvectors. Indeed, the electrons follow the motion of the nuclei in an adiabatic way, so the suitable instantaneous electronic eigenvectors must satisfy some parallel transport condition to take into account the geometric phases arising in this situation. These eigenvectors thus depend on the classical trajectories. Since they may become singular when the corresponding eigenvalues are degenerate, or almost degenerate, we shall define them for t in the outer regime. We shall have two sets of eigenvectors, denoted by Φ ± C x, t, ɛ, where the label ±, refers to positive and negative times. Let η C t be the momentum solution of the classical equations of motion 2.2 and 2.3. The normalized eigenvectors Φ ± C x, t, ɛ are the solutions of Φ ± C x, t, ɛ / t + η C t Φ ± C x, t, ɛ 3.32 for C = A, B and t >. Since the eigenvalues E < Ax, ɛ and E B x, ɛ are non-degenerate for any time t, t small enough, such vectors exist, are unique up to an overall time independent phase factors and are eigenvectors of h x, ɛ associated with E C x, ɛ for any time, see [6]. Let us make the construction of these eigenvectors more specific and give their small t and small ɛ asymptotics. We define the angles ϕx, ɛ and θx, ɛ by βx, ɛ = β 2 x, ɛ + γ 2 x, ɛ + δ 2 x, ɛ cosθx, ɛ 3.33 γx, ɛ = β 2 x, ɛ + γ 2 x, ɛ + δ 2 x, ɛ sinθx, ɛ cosϕx, ɛ 3.34 δx, ɛ = β 2 x, ɛ + γ 2 x, ɛ + δ 2 x, ɛ sinθx, ɛ sinϕx, ɛ and construct static eigenvectors. Let Φ Ax, ɛ = e iϕx,ɛ cosθx, ɛ/2ψ x, ɛ + sinθx, ɛ/2ψ 2 x, ɛ 3.36 Φ B x, ɛ = e iϕx,ɛ cosθx, ɛ/2ψ 2 x, ɛ sinθx, ɛ/2ψ x, ɛ

26 be the eigenvectors of h x, ɛ associated with E C x, ɛ, C = A, B for π/2 < θx, ɛ π and Φ + Ax, ɛ = cosθx, ɛ/2ψ x, ɛ + e iϕx,ɛ sinθx, ɛ/2ψ 2 x, ɛ 3.38 Φ + B x, ɛ = cosθx, ɛ/2ψ 2 x, ɛ e iϕx,ɛ sinθx, ɛ/2ψ x, ɛ 3.39 be the eigenvectors of h x, ɛ for θx, ɛ < π/2. The solutions of 3.32 are of the form Φ ± C x, t, ɛ = Φ ± C x, ɛe iλ± C x,t,ɛ, { t > t <, 3.4 where λ ± C x, t, ɛ is a real valued function satisfying the equation i t λ± C x, t, ɛ + iη C t λ ± C x, t, ɛ + Φ C x, ɛ η C t Φ C x, ɛ =. 3.4 Lemma 3.2 Let η C t be the momentum solution of the classical equations of motion 2.2 and 2.3. There exist eigenvectors Φ ± C x, t, ɛ, C = A, B, such that Φ ± C x, t, ɛ / t + η C t Φ ± C x, t, ɛ. If x = Oɛ κ >, x, with 2/3 < κ <, < Φ ± C x, t, ɛ Φ ± C x, ɛ = Ot/ɛ κ. Proof: We give a proof for Φ + Ax, t, ɛ only; the other cases are similar. In order to simplify the notation, we drop the indices A and +. Thus we need determine λx, t, ɛ such that where Φx, t, ɛ = e iλx,t,ɛ Φx, ɛ, 3.42 Φx, ɛ = cosθx, ɛ/2ψ x, ɛ + e iϕx,ɛ sinθx, ɛ/2ψ 2 x, ɛ Also, let at a A t and ηt η A t for t >. We introduce the new variable ω x at 3.44 and the notation λω, t, ɛ λω + at, t, ɛ, 3.45 Φω, t, ɛ Φω + at, ɛ In terms of these new variables, equation 3.4 for λ reads i λω, t, ɛ = Φω, t, ɛ Φω, t, ɛ 3.47 t t with Φω, t, ɛ = ηt Φω + at, ɛ t 26

27 We compute, dropping the arguments, Φ = sinθ/2ψ + e iϕ cosθ/2ψ 2 θ/2 + cosθ/2 ψ + e iϕ sinθ/2 ψ 2 i ϕe iϕ sinθ/2ψ Since the ψ j, j =, 2, are orthonormal, we get Φ t Φ = iη ϕ sin 2 θ/2 + cos 2 θ/2 ψ η ψ + sin 2 θ/2 ψ 2 η ψ 2 + sinθ/2 cosθ/2 e iϕ ψ η ψ 2 + e iϕ ψ 2 η ψ. 3.5 As η, ψ j, ψ j are all O, we can write t λω, t, ɛ = ηt ϕ sin 2 θω + at, ɛ/2 + O dt + λ ω. 3.5 It remains to estimate ϕ. ϕx, ɛ = atan δx, ɛ/γx, ɛ 3.52 provided γx, ɛ is different from zero. Hence, using.2 we get ϕx, ɛ = = γx, ɛ δx, ɛ δx, ɛ γx, ɛ ɛo + O2O = γ 2 x, ɛ + δ 2 x, ɛ r 2 ɛ 2 + O3 O/ɛ + O3/ɛ O3/ɛ 2 The above computations are legitimate for x = Oɛ κ, 2/3 < κ <, 3.54 which implies γx, ɛ = rɛ + O2 = rɛ + Oɛ + x + x 2 /ɛ = rɛ + Oɛ 2κ cɛ, 3.55 for some uniform constant c, and O/ɛ = O + x /ɛ = O/ɛ κ, 3.56 O3/ɛ 2 = Oɛ + x + x 2 /ɛ + x 3 /ɛ as ɛ. Hence, if ω + at = Oɛ κ, λω, t, ɛ = λ ω + Ot/ɛ κ,

28 uniformly in t and ω. Taking the integration constant λ ω, we obtain λx, t, ɛ = Ot/ɛ κ. We get the desired result by means of 3.42 and the fact that Φx, ɛ = O The nuclear wave function is localized around the classical trajectory in the semiclassical regime. Thus, in the outer temporal region, because of the genericity condition η >, the major part of the nuclear wave function will be supported away from the neighborhood where the levels almost cross. Hence we can introduce a cutoff function which does not significantly alter the solution and forces the support of the wave function to be away from this neighborhood. We choose the support of the cutoff so that the above lemma applies. Let F be a C cutoff function F : IR + IR, such that { F r = r F r = r The wave functions we construct below in the outer regime will be multiplied by the regulating factor F x a C t /ɛ δ 3.62 where δ < ξ, for C = A, B see below. Remark: If ξ < 2/3 < κ < ξ, the correction terms in the above lemma tend to zero and the set x = Oɛ κ includes the set x a C t = Oɛ δ. On the support of F, x = η ɛt + Oɛ δ + t and since η ɛ = η + Oɛ, where η >, we deduce x > c t 3.64 uniformly in ɛ. Using this property we have Lemma 3.3 For x in the support of F x a C t /ɛ δ, C = A, B, we have for t <, Φ Ax, ɛ = ψ 2 x, ɛ + Oɛ/t /2, Φ B x, ɛ = ψ x, ɛ + Oɛ/t /2, and for t >, Φ + Ax, ɛ = ψ x, ɛ + Oɛ/t /2, Φ + B x, ɛ = ψ 2 x, ɛ + Oɛ/t /2. 28

29 Proof: It follows from.2, 3.63 and 3.64 that for t > <, Similarly, hence cosθx, ɛ = tanϕx, ɛ = x + O2 x 2 + ɛ 2 + O3 = ± + Ot + Oɛ 2 /t 2 + Ot /2 = ± + Oɛ 2 /t O2 ɛ + O2 = Ot2 /ɛ + Ot 2 /ɛ = Ot2 /ɛ, 3.66 ϕx, ɛ = Ot 2 /ɛ The result then follows from the identity sin 2 θx, ɛ/2 = and ψ j =, j =, 2. cosθx, ɛ 2 = ± 2 + Ot 2 /ɛ 3.68 We can describe the solution of the Schrödinger equation in the different regimes introduced. 3.3 The Incoming Outer Solution We assume that at the initial time T, the wave function is given by a semiclassical nuclear wave packet times an electronic function associated with the B level. We consider the associated classical quantities determined by the following initial conditions at t = : a B = η B = η A B = A B B = B S B =, 3.69 where A and B satisfy the hypotheses in the definition of the functions ϕ l. Away from the avoided crossing of the electronic levels, the solution of the Schrödinger equation is well approximated by standard time dependent Born Oppenheimer wave packets. Close to the avoided crossing these standard wave packets fail to approximate the solution. The following lemma tells us how close to the avoided crossing time these standard wave packets can be used as approximations. 29

30 Lemma 3.4 In the incoming outer time regime, T t ɛ ξ, there is an approximation ψ IO x, t of a solution of the Schrödinger equation ψx, t of the form ψ IO x, t = F x a B t /ɛ δ exp i SB t + i ηb tx a B t ɛ 2 ɛ 2 such that where ϕ l A B t, B B t, ɛ 2, a B t,, xφ B x, t, ɛ 3.7 ψx, t = ψ IO x, t + Rx, t, ɛ 3.7 Rx, t, ɛ = Oɛ ξ 3.72 in the L 2 IR n sense, as ɛ. Proof: The proof of this Lemma is very similar to that of Lemma 6.4 of [6]. For T t ɛ ξ and x in the support of the cut off function F x a B t /ɛ δ, E A x E B is bounded by x a multiple of ɛ +ξ. Furthermore, for such x and t, a rather tedious calculation shows that + t ηb x Φ B x, t, ɛ is bounded by a multiple of ɛ +ξ. Thus, up to errors on the order of ɛ 2ξ, ψ IO x, t is equal to Ψx, t = F x a B t /ɛ δ exp i SB t ɛ 2 where and + i ηb tx a B t ɛ 2 Ψ x, t + ɛ 2 Ψ 2 x, t 3.73 Ψ x, t = ϕ l A B t, B B t, ɛ 2, a B t,, xφ B x, t, ɛ 3.74 Ψ 2 x, t = iϕ l A B t, B B t, ɛ 2, a B t,, x Φ Ax, t, ɛ E A x E B x Φ Ax, t, ɛ, t + ηb x Φ B x, t, ɛ + r BA x, ɛp AB x, ɛ t + ηb x Φ B x, t, ɛ, 3.75 where r BA x, ɛ is the restriction of hx, ɛ E B x, ɛ to the range of P AB x. The expression 3.73 is a standard leading order Born-Oppenheimer wave packet, and it suffices to show that it agrees with a solution of the Schrödinger equation up to errors on the order of ɛ ξ. To prove this, we explicitly compute ζx, t, ɛ = iɛ 2 Ψ t HɛΨ

31 For T t ɛ ξ, terms in ζx, t, ɛ that contain derivatives of F are easily seen to have norms that grow at worst like powers of / t times factors that are exponentially small in ɛ. Most of the remaining terms in ζx, t, ɛ are formally given on pages 5 8 of [6], with t + ηb x in place of ηb x in many expressions. A few other terms arise from the iɛ 2 t acting on the electronic eigenfunctions in Our error term ζx, t, ɛ differs formally from that of Section 6 of [6] because our eigenfunctions have time dependence and the ones in Section 6 of [6] do not. After noting that numerous terms in ζx, t, ɛ cancel with one another, we estimate the remaining terms individually. This process is very similar to that described on pages 8 of [6], except that there are a few extra terms that contain time derivatives of the electronic eigenfunctions. To estimate these terms we use arguments similar to those used in the proof of lemma 3.2. Our avoided crossing problem is slightly less singular than the crossing problem treated in [6]. So, it is not surprising that our error term satisfies the same estimate ζ, t, ɛ C ɛ 3 t as the corresponding error term in Section 6 of [6]. We obtain the desired estimate by using the estimate 3.77 and lemma 3.3 of [6]. 3.4 The Inner Solution In the inner time regime, we look for an approximation constructed by means of the classical quantities associated with the potential Ṽ x, ɛ. Let at and St be the corresponding classical quantities satisfying the initial conditions a = η = η S =. In the rescaled variables { y = x at/ɛ,, s = t/ɛ the Schrödinger equation reads iɛ s ψ iɛηɛs yψ = ɛ2 2 yψ + haɛs + ɛy, ɛψ. 3.8 We seek an approximate solution of the form F y ɛ δ exp i Sɛs + i ηɛsy χy, s, ɛ, 3.8 ɛ 2 ɛ with χy, s, ɛ = {fy, s, ɛψ aɛs + ɛy, ɛ + gy, s, ɛψ 2 aɛs + ɛy, ɛ ψ aɛs + ɛy, ɛ}, 3

32 where ψ x, ɛ I I P x, ɛh and f, g are scalar functions. Anticipating exponential fall off of the solution, we insert 3.8 in 3.8 and neglect the derivatives of F. Making use of the decomposition. and eliminating the overall classical phase and cut-off F, we get dropping the arguments iɛψ s f + iɛψ 2 s g + iɛ s ψ + Ṽ a + ɛy xṽ afψ + gψ 2 + ψ +iɛ 2 fη x ψ + iɛ 2 gη x ψ 2 + iɛ 2 η x ψ = ɛ 4 x ψ /2 ɛ 4 f x ψ /2 ɛ 4 g x ψ 2 /2 ɛ 3 y f x ψ ɛ 3 y g x ψ 2 ɛ 2 ψ y f ɛ 2 ψ 2 y g + h ψ + h fψ + gψ 2 +Ṽ a + ɛyfψ + gψ 2 + ψ We assume the solutions have expansions of the form fy, s, ɛ = gy, s, ɛ = ψ x, t, ɛ = ν j ɛf j y, s, j= ν j ɛg j y, s, j= ν j ɛψ j x, t, 3.84 j= with asymptotic scales ν j ɛ to be determined by matching. We insert these expansions in Using the behaviors.2 and lemma 2.2 we verify that the lowest order terms yield iɛν ɛ s f y, sψ aɛs + ɛy, ɛ + iɛν ɛ s g y, sψ 2 aɛs + ɛy, ɛ = h aɛs + ɛy, ɛψ aɛs + ɛy, ɛs, ɛ +ɛν ɛh y, sf y, sψ aɛs + ɛy, ɛ + g y, sψ 2 aɛs + ɛy, ɛ 3.85 on the support of F, where h y, s is the operator on the span of { ψ aɛs + ɛy, ɛ, ψ 2 aɛs + ɛy, ɛ } whose matrix in the basis { ψ aɛs + ɛy, ɛ, ψ 2 aɛs + ɛy, ɛ } is given by η r s + y ηs y By matching the incoming outer solution, we obtain ν j ɛh aɛs + ɛy, ɛψ j aɛs + ɛy, ɛs = 3.87 if ν j ɛ << ɛν ɛ, j =,,, m. The spectrum of h x, ɛ is bounded away from in a neighborhood of,. This implies ψ j x, t =, j =,,, m We split the remaining equation for the order ɛν ɛ = ν m ɛ without arguments iɛν ɛ s f ψ + iɛν ɛ s g ψ 2 = ν m ɛh ψ + ɛν ɛh f ψ + g ψ

Molecular Propagation through Small Avoided Crossings of Electron Energy Levels

Molecular Propagation through Small Avoided Crossings of Electron Energy Levels Molecular Propagation through Small Avoided Crossings of Electron Energy Levels George A. Hagedorn Alain Joye Department of Mathematics and Center for Statistical Mechanics and Mathematical Physics Virginia

More information

Non Adiabatic Transitions in a Simple Born Oppenheimer Scattering System

Non Adiabatic Transitions in a Simple Born Oppenheimer Scattering System 1 Non Adiabatic Transitions in a Simple Born Oppenheimer Scattering System George A. Hagedorn Department of Mathematics and Center for Statistical Mechanics, Mathematical Physics, and Theoretical Chemistry

More information

Molecular propagation through crossings and avoided crossings of electron energy levels

Molecular propagation through crossings and avoided crossings of electron energy levels Molecular propagation through crossings and avoided crossings of electron energy levels George A. Hagedorn Department of Mathematics and Center for Statistical Mechanics and Mathematical Physics Virginia

More information

The Time{Dependent Born{Oppenheimer Approximation and Non{Adiabatic Transitions

The Time{Dependent Born{Oppenheimer Approximation and Non{Adiabatic Transitions The Time{Dependent Born{Oppenheimer Approximation and Non{Adiabatic Transitions George A. Hagedorn Department of Mathematics, and Center for Statistical Mechanics, Mathematical Physics, and Theoretical

More information

A Minimal Uncertainty Product for One Dimensional Semiclassical Wave Packets

A Minimal Uncertainty Product for One Dimensional Semiclassical Wave Packets A Minimal Uncertainty Product for One Dimensional Semiclassical Wave Packets George A. Hagedorn Happy 60 th birthday, Mr. Fritz! Abstract. Although real, normalized Gaussian wave packets minimize the product

More information

Exponentially Accurate Semiclassical Tunneling Wave Functions in One Dimension

Exponentially Accurate Semiclassical Tunneling Wave Functions in One Dimension Exponentially Accurate Semiclassical Tunneling Wave Functions in One Dimension Vasile Gradinaru Seminar for Applied Mathematics ETH Zürich CH 8092 Zürich, Switzerland, George A. Hagedorn Department of

More information

Mathematical Analysis of Born Oppenheimer Approximations

Mathematical Analysis of Born Oppenheimer Approximations Mathematical Analysis of Born Oppenheimer Approximations George A. Hagedorn and Alain Joye Dedicated to Barry Simon in celebration of his 60 th birthday. Abstract. We review mathematical results concerning

More information

Molecular Resonance Raman and Rayleigh Scattering Stimulated by a Short Laser Pulse

Molecular Resonance Raman and Rayleigh Scattering Stimulated by a Short Laser Pulse Molecular Resonance Raman and Rayleigh Scattering Stimulated by a Short Laser Pulse George A. Hagedorn Department of Mathematics and Center for Statistical Mechanics, Mathematical Physics, and Theoretical

More information

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

Page 404. Lecture 22: Simple Harmonic Oscillator: Energy Basis Date Given: 2008/11/19 Date Revised: 2008/11/19 Page 404 Lecture : Simple Harmonic Oscillator: Energy Basis Date Given: 008/11/19 Date Revised: 008/11/19 Coordinate Basis Section 6. The One-Dimensional Simple Harmonic Oscillator: Coordinate Basis Page

More information

A Time Dependent Born Oppenheimer Approximation with Exponentially Small Error Estimates

A Time Dependent Born Oppenheimer Approximation with Exponentially Small Error Estimates A Time Dependent Born Oppenheimer Approximation with Exponentially Small Error Estimates George A. Hagedorn Department of Mathematics and Center for Statistical Mechanics and Mathematical Physics Virginia

More information

Non Adiabatic Transitions near Avoided Crossings: Theory and Numerics

Non Adiabatic Transitions near Avoided Crossings: Theory and Numerics Non Adiabatic Transitions near Avoided Crossings: Theory and Numerics Raoul Bourquin a, Vasile Gradinaru a, George A. Hagedorn b April 8, 2011 Abstract We present a review of rigorous mathematical results

More information

2. The Schrödinger equation for one-particle problems. 5. Atoms and the periodic table of chemical elements

2. The Schrödinger equation for one-particle problems. 5. Atoms and the periodic table of chemical elements 1 Historical introduction The Schrödinger equation for one-particle problems 3 Mathematical tools for quantum chemistry 4 The postulates of quantum mechanics 5 Atoms and the periodic table of chemical

More information

Generating Function and a Rodrigues Formula for the Polynomials in d Dimensional Semiclassical Wave Packets

Generating Function and a Rodrigues Formula for the Polynomials in d Dimensional Semiclassical Wave Packets Generating Function and a Rodrigues Formula for the Polynomials in d Dimensional Semiclassical Wave Packets George A. Hagedorn Department of Mathematics and Center for Statistical Mechanics and Mathematical

More information

Separation of Variables in Linear PDE: One-Dimensional Problems

Separation of Variables in Linear PDE: One-Dimensional Problems Separation of Variables in Linear PDE: One-Dimensional Problems Now we apply the theory of Hilbert spaces to linear differential equations with partial derivatives (PDE). We start with a particular example,

More information

Massachusetts Institute of Technology Physics Department

Massachusetts Institute of Technology Physics Department Massachusetts Institute of Technology Physics Department Physics 8.32 Fall 2006 Quantum Theory I October 9, 2006 Assignment 6 Due October 20, 2006 Announcements There will be a makeup lecture on Friday,

More information

Representation theory and quantum mechanics tutorial Spin and the hydrogen atom

Representation theory and quantum mechanics tutorial Spin and the hydrogen atom Representation theory and quantum mechanics tutorial Spin and the hydrogen atom Justin Campbell August 3, 2017 1 Representations of SU 2 and SO 3 (R) 1.1 The following observation is long overdue. Proposition

More information

Born-Oppenheimer Corrections Near a Renner-Teller Crossing

Born-Oppenheimer Corrections Near a Renner-Teller Crossing Born-Oppenheimer Corrections Near a Renner-Teller Crossing Mark S. Herman Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the

More information

MATH 205C: STATIONARY PHASE LEMMA

MATH 205C: STATIONARY PHASE LEMMA MATH 205C: STATIONARY PHASE LEMMA For ω, consider an integral of the form I(ω) = e iωf(x) u(x) dx, where u Cc (R n ) complex valued, with support in a compact set K, and f C (R n ) real valued. Thus, I(ω)

More information

Elementary linear algebra

Elementary linear algebra Chapter 1 Elementary linear algebra 1.1 Vector spaces Vector spaces owe their importance to the fact that so many models arising in the solutions of specific problems turn out to be vector spaces. The

More information

A. Time dependence from separation of timescales

A. Time dependence from separation of timescales Lecture 4 Adiabatic Theorem So far we have considered time independent semiclassical problems. What makes these semiclassical is that the gradient term (which is multiplied by 2 ) was small. In other words,

More information

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Alberto Bressan ) and Khai T. Nguyen ) *) Department of Mathematics, Penn State University **) Department of Mathematics,

More information

Quantum Mechanics for Mathematicians: Energy, Momentum, and the Quantum Free Particle

Quantum Mechanics for Mathematicians: Energy, Momentum, and the Quantum Free Particle Quantum Mechanics for Mathematicians: Energy, Momentum, and the Quantum Free Particle Peter Woit Department of Mathematics, Columbia University woit@math.columbia.edu November 28, 2012 We ll now turn to

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K R MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND First Printing, 99 Chapter LINEAR EQUATIONS Introduction to linear equations A linear equation in n unknowns x,

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K. R. MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND Second Online Version, December 1998 Comments to the author at krm@maths.uq.edu.au Contents 1 LINEAR EQUATIONS

More information

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms (February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops

More information

Higher Order Averaging : periodic solutions, linear systems and an application

Higher Order Averaging : periodic solutions, linear systems and an application Higher Order Averaging : periodic solutions, linear systems and an application Hartono and A.H.P. van der Burgh Faculty of Information Technology and Systems, Department of Applied Mathematical Analysis,

More information

P3317 HW from Lecture 7+8 and Recitation 4

P3317 HW from Lecture 7+8 and Recitation 4 P3317 HW from Lecture 7+8 and Recitation 4 Due Friday Tuesday September 25 Problem 1. In class we argued that an ammonia atom in an electric field can be modeled by a two-level system, described by a Schrodinger

More information

a 11 x 1 + a 12 x a 1n x n = b 1 a 21 x 1 + a 22 x a 2n x n = b 2.

a 11 x 1 + a 12 x a 1n x n = b 1 a 21 x 1 + a 22 x a 2n x n = b 2. Chapter 1 LINEAR EQUATIONS 11 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,, a n, b are given real

More information

1 Mathematical preliminaries

1 Mathematical preliminaries 1 Mathematical preliminaries The mathematical language of quantum mechanics is that of vector spaces and linear algebra. In this preliminary section, we will collect the various definitions and mathematical

More information

2. As we shall see, we choose to write in terms of σ x because ( X ) 2 = σ 2 x.

2. As we shall see, we choose to write in terms of σ x because ( X ) 2 = σ 2 x. Section 5.1 Simple One-Dimensional Problems: The Free Particle Page 9 The Free Particle Gaussian Wave Packets The Gaussian wave packet initial state is one of the few states for which both the { x } and

More information

Math Ordinary Differential Equations

Math Ordinary Differential Equations Math 411 - Ordinary Differential Equations Review Notes - 1 1 - Basic Theory A first order ordinary differential equation has the form x = f(t, x) (11) Here x = dx/dt Given an initial data x(t 0 ) = x

More information

PHY 407 QUANTUM MECHANICS Fall 05 Problem set 1 Due Sep

PHY 407 QUANTUM MECHANICS Fall 05 Problem set 1 Due Sep Problem set 1 Due Sep 15 2005 1. Let V be the set of all complex valued functions of a real variable θ, that are periodic with period 2π. That is u(θ + 2π) = u(θ), for all u V. (1) (i) Show that this V

More information

1 Distributions (due January 22, 2009)

1 Distributions (due January 22, 2009) Distributions (due January 22, 29). The distribution derivative of the locally integrable function ln( x ) is the principal value distribution /x. We know that, φ = lim φ(x) dx. x ɛ x Show that x, φ =

More information

APPENDIX A. Background Mathematics. A.1 Linear Algebra. Vector algebra. Let x denote the n-dimensional column vector with components x 1 x 2.

APPENDIX A. Background Mathematics. A.1 Linear Algebra. Vector algebra. Let x denote the n-dimensional column vector with components x 1 x 2. APPENDIX A Background Mathematics A. Linear Algebra A.. Vector algebra Let x denote the n-dimensional column vector with components 0 x x 2 B C @. A x n Definition 6 (scalar product). The scalar product

More information

DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS

DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS ADILBEK KAIRZHAN, DMITRY E. PELINOVSKY, AND ROY H. GOODMAN Abstract. When the coefficients of the cubic terms match the coefficients in the boundary

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K. R. MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND Corrected Version, 7th April 013 Comments to the author at keithmatt@gmail.com Chapter 1 LINEAR EQUATIONS 1.1

More information

Summary of free theory: one particle state: vacuum state is annihilated by all a s: then, one particle state has normalization:

Summary of free theory: one particle state: vacuum state is annihilated by all a s: then, one particle state has normalization: The LSZ reduction formula based on S-5 In order to describe scattering experiments we need to construct appropriate initial and final states and calculate scattering amplitude. Summary of free theory:

More information

Euler Equations: local existence

Euler Equations: local existence Euler Equations: local existence Mat 529, Lesson 2. 1 Active scalars formulation We start with a lemma. Lemma 1. Assume that w is a magnetization variable, i.e. t w + u w + ( u) w = 0. If u = Pw then u

More information

A matrix over a field F is a rectangular array of elements from F. The symbol

A matrix over a field F is a rectangular array of elements from F. The symbol Chapter MATRICES Matrix arithmetic A matrix over a field F is a rectangular array of elements from F The symbol M m n (F ) denotes the collection of all m n matrices over F Matrices will usually be denoted

More information

4. Supplementary Notes on Time and Space Evolution of a Neutrino Beam

4. Supplementary Notes on Time and Space Evolution of a Neutrino Beam Lecture Notes for Quantum Physics II & III 8.05 & 8.059 Academic Year 1996/1997 4. Supplementary Notes on Time and Space Evolution of a Neutrino Beam c D. Stelitano 1996 As an example of a two-state system

More information

Quantum Computing Lecture 2. Review of Linear Algebra

Quantum Computing Lecture 2. Review of Linear Algebra Quantum Computing Lecture 2 Review of Linear Algebra Maris Ozols Linear algebra States of a quantum system form a vector space and their transformations are described by linear operators Vector spaces

More information

Hilbert Space Problems

Hilbert Space Problems Hilbert Space Problems Prescribed books for problems. ) Hilbert Spaces, Wavelets, Generalized Functions and Modern Quantum Mechanics by Willi-Hans Steeb Kluwer Academic Publishers, 998 ISBN -7923-523-9

More information

MP463 QUANTUM MECHANICS

MP463 QUANTUM MECHANICS MP463 QUANTUM MECHANICS Introduction Quantum theory of angular momentum Quantum theory of a particle in a central potential - Hydrogen atom - Three-dimensional isotropic harmonic oscillator (a model of

More information

CHAPTER 6 Quantum Mechanics II

CHAPTER 6 Quantum Mechanics II CHAPTER 6 Quantum Mechanics II 6.1 6.2 6.3 6.4 6.5 6.6 6.7 The Schrödinger Wave Equation Expectation Values Infinite Square-Well Potential Finite Square-Well Potential Three-Dimensional Infinite-Potential

More information

The Sommerfeld Polynomial Method: Harmonic Oscillator Example

The Sommerfeld Polynomial Method: Harmonic Oscillator Example Chemistry 460 Fall 2017 Dr. Jean M. Standard October 2, 2017 The Sommerfeld Polynomial Method: Harmonic Oscillator Example Scaling the Harmonic Oscillator Equation Recall the basic definitions of the harmonic

More information

ON EFFECTIVE HAMILTONIANS FOR ADIABATIC PERTURBATIONS. Mouez Dimassi Jean-Claude Guillot James Ralston

ON EFFECTIVE HAMILTONIANS FOR ADIABATIC PERTURBATIONS. Mouez Dimassi Jean-Claude Guillot James Ralston ON EFFECTIVE HAMILTONIANS FOR ADIABATIC PERTURBATIONS Mouez Dimassi Jean-Claude Guillot James Ralston Abstract We construct almost invariant subspaces and the corresponding effective Hamiltonian for magnetic

More information

The Hamiltonian and the Schrödinger equation Consider time evolution from t to t + ɛ. As before, we expand in powers of ɛ; we have. H(t) + O(ɛ 2 ).

The Hamiltonian and the Schrödinger equation Consider time evolution from t to t + ɛ. As before, we expand in powers of ɛ; we have. H(t) + O(ɛ 2 ). Lecture 12 Relevant sections in text: 2.1 The Hamiltonian and the Schrödinger equation Consider time evolution from t to t + ɛ. As before, we expand in powers of ɛ; we have U(t + ɛ, t) = I + ɛ ( īh ) H(t)

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

This ODE arises in many physical systems that we shall investigate. + ( + 1)u = 0. (λ + s)x λ + s + ( + 1) a λ. (s + 1)(s + 2) a 0

This ODE arises in many physical systems that we shall investigate. + ( + 1)u = 0. (λ + s)x λ + s + ( + 1) a λ. (s + 1)(s + 2) a 0 Legendre equation This ODE arises in many physical systems that we shall investigate We choose We then have Substitution gives ( x 2 ) d 2 u du 2x 2 dx dx + ( + )u u x s a λ x λ a du dx λ a λ (λ + s)x

More information

Semi-Classical Dynamics Using Hagedorn Wavepackets

Semi-Classical Dynamics Using Hagedorn Wavepackets Semi-Classical Dynamics Using Hagedorn Wavepackets Leila Taghizadeh June 6, 2013 Leila Taghizadeh () Semi-Classical Dynamics Using Hagedorn Wavepackets June 6, 2013 1 / 56 Outline 1 The Schrödinger Equation

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K R MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND Second Online Version, December 998 Comments to the author at krm@mathsuqeduau All contents copyright c 99 Keith

More information

NORMS ON SPACE OF MATRICES

NORMS ON SPACE OF MATRICES NORMS ON SPACE OF MATRICES. Operator Norms on Space of linear maps Let A be an n n real matrix and x 0 be a vector in R n. We would like to use the Picard iteration method to solve for the following system

More information

Lecture 4: Numerical solution of ordinary differential equations

Lecture 4: Numerical solution of ordinary differential equations Lecture 4: Numerical solution of ordinary differential equations Department of Mathematics, ETH Zürich General explicit one-step method: Consistency; Stability; Convergence. High-order methods: Taylor

More information

Quantum Mechanics Solutions

Quantum Mechanics Solutions Quantum Mechanics Solutions (a (i f A and B are Hermitian, since (AB = B A = BA, operator AB is Hermitian if and only if A and B commute So, we know that [A,B] = 0, which means that the Hilbert space H

More information

88 CHAPTER 3. SYMMETRIES

88 CHAPTER 3. SYMMETRIES 88 CHAPTER 3 SYMMETRIES 31 Linear Algebra Start with a field F (this will be the field of scalars) Definition: A vector space over F is a set V with a vector addition and scalar multiplication ( scalars

More information

Consistent Histories. Chapter Chain Operators and Weights

Consistent Histories. Chapter Chain Operators and Weights Chapter 10 Consistent Histories 10.1 Chain Operators and Weights The previous chapter showed how the Born rule can be used to assign probabilities to a sample space of histories based upon an initial state

More information

The heat equation in time dependent domains with Neumann boundary conditions

The heat equation in time dependent domains with Neumann boundary conditions The heat equation in time dependent domains with Neumann boundary conditions Chris Burdzy Zhen-Qing Chen John Sylvester Abstract We study the heat equation in domains in R n with insulated fast moving

More information

PY 351 Modern Physics - Lecture notes, 3

PY 351 Modern Physics - Lecture notes, 3 PY 351 Modern Physics - Lecture notes, 3 Copyright by Claudio Rebbi, Boston University, October 2016. These notes cannot be duplicated and distributed without explicit permission of the author. Time dependence

More information

Multiple scale methods

Multiple scale methods Multiple scale methods G. Pedersen MEK 3100/4100, Spring 2006 March 13, 2006 1 Background Many physical problems involve more than one temporal or spatial scale. One important example is the boundary layer

More information

Mathematical Introduction

Mathematical Introduction Chapter 1 Mathematical Introduction HW #1: 164, 165, 166, 181, 182, 183, 1811, 1812, 114 11 Linear Vector Spaces: Basics 111 Field A collection F of elements a,b etc (also called numbers or scalars) with

More information

Physics 70007, Fall 2009 Answers to Final Exam

Physics 70007, Fall 2009 Answers to Final Exam Physics 70007, Fall 009 Answers to Final Exam December 17, 009 1. Quantum mechanical pictures a Demonstrate that if the commutation relation [A, B] ic is valid in any of the three Schrodinger, Heisenberg,

More information

Operators with numerical range in a closed halfplane

Operators with numerical range in a closed halfplane Operators with numerical range in a closed halfplane Wai-Shun Cheung 1 Department of Mathematics, University of Hong Kong, Hong Kong, P. R. China. wshun@graduate.hku.hk Chi-Kwong Li 2 Department of Mathematics,

More information

Estimates for the resolvent and spectral gaps for non self-adjoint operators. University Bordeaux

Estimates for the resolvent and spectral gaps for non self-adjoint operators. University Bordeaux for the resolvent and spectral gaps for non self-adjoint operators 1 / 29 Estimates for the resolvent and spectral gaps for non self-adjoint operators Vesselin Petkov University Bordeaux Mathematics Days

More information

221B Lecture Notes Scattering Theory II

221B Lecture Notes Scattering Theory II 22B Lecture Notes Scattering Theory II Born Approximation Lippmann Schwinger equation ψ = φ + V ψ, () E H 0 + iɛ is an exact equation for the scattering problem, but it still is an equation to be solved

More information

Linear Algebra. Min Yan

Linear Algebra. Min Yan Linear Algebra Min Yan January 2, 2018 2 Contents 1 Vector Space 7 1.1 Definition................................. 7 1.1.1 Axioms of Vector Space..................... 7 1.1.2 Consequence of Axiom......................

More information

Incompatibility Paradoxes

Incompatibility Paradoxes Chapter 22 Incompatibility Paradoxes 22.1 Simultaneous Values There is never any difficulty in supposing that a classical mechanical system possesses, at a particular instant of time, precise values of

More information

Math 108b: Notes on the Spectral Theorem

Math 108b: Notes on the Spectral Theorem Math 108b: Notes on the Spectral Theorem From section 6.3, we know that every linear operator T on a finite dimensional inner product space V has an adjoint. (T is defined as the unique linear operator

More information

THE INVERSE FUNCTION THEOREM

THE INVERSE FUNCTION THEOREM THE INVERSE FUNCTION THEOREM W. PATRICK HOOPER The implicit function theorem is the following result: Theorem 1. Let f be a C 1 function from a neighborhood of a point a R n into R n. Suppose A = Df(a)

More information

An introduction to Birkhoff normal form

An introduction to Birkhoff normal form An introduction to Birkhoff normal form Dario Bambusi Dipartimento di Matematica, Universitá di Milano via Saldini 50, 0133 Milano (Italy) 19.11.14 1 Introduction The aim of this note is to present an

More information

Chapter 2 The Group U(1) and its Representations

Chapter 2 The Group U(1) and its Representations Chapter 2 The Group U(1) and its Representations The simplest example of a Lie group is the group of rotations of the plane, with elements parametrized by a single number, the angle of rotation θ. It is

More information

Physics 221A Fall 2018 Notes 22 Bound-State Perturbation Theory

Physics 221A Fall 2018 Notes 22 Bound-State Perturbation Theory Copyright c 2018 by Robert G. Littlejohn Physics 221A Fall 2018 Notes 22 Bound-State Perturbation Theory 1. Introduction Bound state perturbation theory applies to the bound states of perturbed systems,

More information

The Simple Harmonic Oscillator

The Simple Harmonic Oscillator The Simple Harmonic Oscillator Asaf Pe er 1 November 4, 215 This part of the course is based on Refs [1] [3] 1 Introduction We return now to the study of a 1-d stationary problem: that of the simple harmonic

More information

Kernel Method: Data Analysis with Positive Definite Kernels

Kernel Method: Data Analysis with Positive Definite Kernels Kernel Method: Data Analysis with Positive Definite Kernels 2. Positive Definite Kernel and Reproducing Kernel Hilbert Space Kenji Fukumizu The Institute of Statistical Mathematics. Graduate University

More information

Unitary Dynamics and Quantum Circuits

Unitary Dynamics and Quantum Circuits qitd323 Unitary Dynamics and Quantum Circuits Robert B. Griffiths Version of 20 January 2014 Contents 1 Unitary Dynamics 1 1.1 Time development operator T.................................... 1 1.2 Particular

More information

(Again, this quantity is the correlation function of the two spins.) With z chosen along ˆn 1, this quantity is easily computed (exercise):

(Again, this quantity is the correlation function of the two spins.) With z chosen along ˆn 1, this quantity is easily computed (exercise): Lecture 30 Relevant sections in text: 3.9, 5.1 Bell s theorem (cont.) Assuming suitable hidden variables coupled with an assumption of locality to determine the spin observables with certainty we found

More information

Review of Linear Algebra Definitions, Change of Basis, Trace, Spectral Theorem

Review of Linear Algebra Definitions, Change of Basis, Trace, Spectral Theorem Review of Linear Algebra Definitions, Change of Basis, Trace, Spectral Theorem Steven J. Miller June 19, 2004 Abstract Matrices can be thought of as rectangular (often square) arrays of numbers, or as

More information

Project: Vibration of Diatomic Molecules

Project: Vibration of Diatomic Molecules Project: Vibration of Diatomic Molecules Objective: Find the vibration energies and the corresponding vibrational wavefunctions of diatomic molecules H 2 and I 2 using the Morse potential. equired Numerical

More information

Scattering in one dimension

Scattering in one dimension Scattering in one dimension Oleg Tchernyshyov Department of Physics and Astronomy, Johns Hopkins University I INTRODUCTION This writeup accompanies a numerical simulation of particle scattering in one

More information

1 The postulates of quantum mechanics

1 The postulates of quantum mechanics 1 The postulates of quantum mechanics The postulates of quantum mechanics were derived after a long process of trial and error. These postulates provide a connection between the physical world and the

More information

Degenerate Perturbation Theory. 1 General framework and strategy

Degenerate Perturbation Theory. 1 General framework and strategy Physics G6037 Professor Christ 12/22/2015 Degenerate Perturbation Theory The treatment of degenerate perturbation theory presented in class is written out here in detail. The appendix presents the underlying

More information

Notes for Expansions/Series and Differential Equations

Notes for Expansions/Series and Differential Equations Notes for Expansions/Series and Differential Equations In the last discussion, we considered perturbation methods for constructing solutions/roots of algebraic equations. Three types of problems were illustrated

More information

5.4 Given the basis e 1, e 2 write the matrices that represent the unitary transformations corresponding to the following changes of basis:

5.4 Given the basis e 1, e 2 write the matrices that represent the unitary transformations corresponding to the following changes of basis: 5 Representations 5.3 Given a three-dimensional Hilbert space, consider the two observables ξ and η that, with respect to the basis 1, 2, 3, arerepresentedby the matrices: ξ ξ 1 0 0 0 ξ 1 0 0 0 ξ 3, ξ

More information

Quantum Physics III (8.06) Spring 2007 FINAL EXAMINATION Monday May 21, 9:00 am You have 3 hours.

Quantum Physics III (8.06) Spring 2007 FINAL EXAMINATION Monday May 21, 9:00 am You have 3 hours. Quantum Physics III (8.06) Spring 2007 FINAL EXAMINATION Monday May 21, 9:00 am You have 3 hours. There are 10 problems, totalling 180 points. Do all problems. Answer all problems in the white books provided.

More information

A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE. 1.

A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE. 1. A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE THOMAS CHEN AND NATAŠA PAVLOVIĆ Abstract. We prove a Beale-Kato-Majda criterion

More information

Cambridge University Press The Mathematics of Signal Processing Steven B. Damelin and Willard Miller Excerpt More information

Cambridge University Press The Mathematics of Signal Processing Steven B. Damelin and Willard Miller Excerpt More information Introduction Consider a linear system y = Φx where Φ can be taken as an m n matrix acting on Euclidean space or more generally, a linear operator on a Hilbert space. We call the vector x a signal or input,

More information

Chapter 2 Approximation Methods Can be Used When Exact Solutions to the Schrödinger Equation Can Not be Found.

Chapter 2 Approximation Methods Can be Used When Exact Solutions to the Schrödinger Equation Can Not be Found. Chapter 2 Approximation Methods Can be Used When Exact Solutions to the Schrödinger Equation Can Not be Found. In applying quantum mechanics to 'real' chemical problems, one is usually faced with a Schrödinger

More information

Trace Class Operators and Lidskii s Theorem

Trace Class Operators and Lidskii s Theorem Trace Class Operators and Lidskii s Theorem Tom Phelan Semester 2 2009 1 Introduction The purpose of this paper is to provide the reader with a self-contained derivation of the celebrated Lidskii Trace

More information

Notes by Maksim Maydanskiy.

Notes by Maksim Maydanskiy. SPECTRAL FLOW IN MORSE THEORY. 1 Introduction Notes by Maksim Maydanskiy. Spectral flow is a general formula or computing the Fredholm index of an operator d ds +A(s) : L1,2 (R, H) L 2 (R, H) for a family

More information

The method of stationary phase

The method of stationary phase Chapter The method of stationary phase In this chapter we introduce a very useful analytical tool which will allow us to find asymptotic expansions for integrals that cannot, in many cases, be calculated

More information

A Time Splitting for the Semiclassical Schrödinger Equation

A Time Splitting for the Semiclassical Schrödinger Equation A Time Splitting for the Semiclassical Schrödinger Equation V. Gradinaru Seminar for Applied Mathematics, ETH Zürich, CH 809, Zürich, Switzerland vasile.gradinaru@sam.math.ethz.ch and G. A. Hagedorn Department

More information

Linear Algebra March 16, 2019

Linear Algebra March 16, 2019 Linear Algebra March 16, 2019 2 Contents 0.1 Notation................................ 4 1 Systems of linear equations, and matrices 5 1.1 Systems of linear equations..................... 5 1.2 Augmented

More information

October 25, 2013 INNER PRODUCT SPACES

October 25, 2013 INNER PRODUCT SPACES October 25, 2013 INNER PRODUCT SPACES RODICA D. COSTIN Contents 1. Inner product 2 1.1. Inner product 2 1.2. Inner product spaces 4 2. Orthogonal bases 5 2.1. Existence of an orthogonal basis 7 2.2. Orthogonal

More information

Eigenvectors and Hermitian Operators

Eigenvectors and Hermitian Operators 7 71 Eigenvalues and Eigenvectors Basic Definitions Let L be a linear operator on some given vector space V A scalar λ and a nonzero vector v are referred to, respectively, as an eigenvalue and corresponding

More information

The 3 dimensional Schrödinger Equation

The 3 dimensional Schrödinger Equation Chapter 6 The 3 dimensional Schrödinger Equation 6.1 Angular Momentum To study how angular momentum is represented in quantum mechanics we start by reviewing the classical vector of orbital angular momentum

More information

POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO

POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO POINTWISE BOUNDS ON QUASIMODES OF SEMICLASSICAL SCHRÖDINGER OPERATORS IN DIMENSION TWO HART F. SMITH AND MACIEJ ZWORSKI Abstract. We prove optimal pointwise bounds on quasimodes of semiclassical Schrödinger

More information

We denote the derivative at x by DF (x) = L. With respect to the standard bases of R n and R m, DF (x) is simply the matrix of partial derivatives,

We denote the derivative at x by DF (x) = L. With respect to the standard bases of R n and R m, DF (x) is simply the matrix of partial derivatives, The derivative Let O be an open subset of R n, and F : O R m a continuous function We say F is differentiable at a point x O, with derivative L, if L : R n R m is a linear transformation such that, for

More information

Piecewise Smooth Solutions to the Burgers-Hilbert Equation

Piecewise Smooth Solutions to the Burgers-Hilbert Equation Piecewise Smooth Solutions to the Burgers-Hilbert Equation Alberto Bressan and Tianyou Zhang Department of Mathematics, Penn State University, University Park, Pa 68, USA e-mails: bressan@mathpsuedu, zhang

More information

Diagonalization by a unitary similarity transformation

Diagonalization by a unitary similarity transformation Physics 116A Winter 2011 Diagonalization by a unitary similarity transformation In these notes, we will always assume that the vector space V is a complex n-dimensional space 1 Introduction A semi-simple

More information

Physics 221A Fall 2017 Notes 27 The Variational Method

Physics 221A Fall 2017 Notes 27 The Variational Method Copyright c 2018 by Robert G. Littlejohn Physics 221A Fall 2017 Notes 27 The Variational Method 1. Introduction Very few realistic problems in quantum mechanics are exactly solvable, so approximation methods

More information

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 While these notes are under construction, I expect there will be many typos. The main reference for this is volume 1 of Hörmander, The analysis of liner

More information