Evolution of semiclassical Wigner function (the higher dimensio

Size: px
Start display at page:

Download "Evolution of semiclassical Wigner function (the higher dimensio"

Transcription

1 Evolution of semiclassical Wigner function (the higher dimensional case) Workshop on Fast Computations in Phase Space, WPI-Vienna, November 2008 Dept. Appl. Math., Univ. Crete & IACM-FORTH

2

3 -1 The limit Wigner measure of a WKB function satisfies a simple transport equation in phase space and is well suited for capturing oscillations at scale of order O(ɛ), but it fails, for instance, to provide the correct amplitude on caustics where different scales appear. We define the semi-classical Wigner function of an N dimensional WKB function, as a suitable formal approximation of its scaled Wigner function.

4 -2 The semi-classical Wigner function is an oscillatory integral that provides an ɛ dependent regularization of the limit Wigner measure, it obeys a transport dispersive evolution law in phase space, and it is well defined at least on simple caustics.

5 : WKB method-1 Schrödinger equation and oscillatory initial data iɛψ ɛ t(x, t) = ɛ2 2 ψɛ (x, t) + V (x)ψ ɛ (x, t), x R N, t > 0 with WKB initial data ψ ɛ (x, 0) = ψ0(x) ɛ = A 0 (x) exp ( is 0 (x)/ɛ ) WKB method looks for solutions ψ ɛ (x, t) = A(x, t) exp ( is(x, t)/ɛ )

6 : WKB method-2 where S and A solve the eikonal S t xs 2 + V (x) = 0, S(x, 0) = S 0 (x), and the transport equation (A 2 ) t + x (A 2 x S) = 0, A(x, 0) = A 0 (x)

7 : Rays For integrating the eikonal and the transport equations we consider the rays x(q, t) = k, k(q, t) = S x (x(q, t), t) solving the Hamiltonian system d dt x = k, with initial data d k = V (x), dt x(0) = q, k(0) = S 0 (q) Along the rays the eikonal is written as an ODE ds dt = S t + x S 2 = k 2 2 V, S(x, 0) = S 0(q)

8 : Caustics Remark: Since the eikonal is a nonlinear equation, it has, in general, a smooth solution only up to some finite time t c, when the rays cross each other and singularities are developed that are called caustics. At a caustic point the Jacobian J(q, t) of the ray map q x(q, t) is zero, and the amplitude becomes infinite since A(x, t) = A 0 (q)j 1/2 (q, t)

9 The Wigner transform Consider the Wigner transform W ɛ (x, k) := W ɛ [ψ ɛ (x)] (Wigner-1932, Gerard et. al-1997) W ɛ (x, k) = 1 (2π) N e ik y ψ ɛ (x+ ɛy R N 2 )ψɛ (x ɛy 2 )dy, (x, k) RN R N which has the basic properties R N W ɛ (x, k)dk = ψ ɛ (x) 2 and for ψ ɛ (x) = A(x) exp ( is(x)/ɛ ) (Lions & Paul-1993) W ɛ (x, k) A 2 (x)δ(k S(x)), weakly as ɛ 0

10 The -1 The Wigner transform f ɛ (x, k, t) = W ɛ [ψ ɛ (x, t)] of the solution ψ ɛ of the Schrödinger equation satisfies the f ɛ t (x, k, t) + k x f ɛ (x, k, t) + Z ɛ f ɛ (x, k, t) = 0, where the operator Z ɛ is defined by the convolution with respect to the momentum k, i Z ɛ f (x, k, t) = f (x, k, t) (2π) N ɛ exp( ik y) (V (x+ ɛ 2 y) V (x ɛ ) 2 y) d

11 The -2 Assuming that the potential V is smooth enough, we can expand V (x ± ɛ 2y) into Taylor series, so that we can rewrite the Wigner equation as a transport dispersive equation ft ɛ + k x f ɛ V k f ɛ = c m ɛ 2m D α VDk α f ɛ, m 1 α =2m+1 which sheds some light to the combined (transport-dispersive) mechanism of the evolution of f ɛ near the Lagransian manifold Λ t = {k = S(x, t)}.

12 The limit In the limit ɛ 0, the reduces formally to the Liouville equation for f 0 (dispersion disappears!!) f 0 t (x, k, t) + k x f 0 (x, k, t) V (x) k f 0 (x, k, t) = 0 with initial data f 0 0 (x, k, t = 0) = A 2 0(x)δ(k S 0 (x)) For 0 < t < T, T < t c = time up to which the solution of the eikonal is single-valued, f 0 (x, k, t) = A 2 (x, t)δ(k x S(x, t))

13 Semiclassical Wigner function We rewrite the Wigner integral W ɛ (x, k) = 1 (ɛπ) N in the form e 2i R N ɛ k σ ψ ɛ (x + σ)ψ ɛ (x σ)dσ W ɛ (x, k) = 1 (ɛπ) N D(x, σ)e i F (x,k;σ) ɛ dσ R N D(x; σ) := A(x + σ)a(x σ) F (x, k; σ) := S(x + σ) S(x σ) 2k σ (Wigner phase)

14 Critical points of the Wigner phase-1 The stationary points of the Wigner phase are found from σ F = x S(x + σ) + x S(x σ) 2k 1. The stationary points of F always come in pairs ±σ 0 (x, k), and as k S(x), there always exist stationary points which coalesce to σ 0 (x, k) In particular, when k = S(x), then σ 0 = 0 is always a degenerate critical point.

15 Critical points of the Wigner phase-2 Remark 1: The structure of the critical set of F can be quite complicated (even in the case N = 1), but we expect that, modulo highly oscillatory terms that tend weakly to zero as ɛ 0, the main contribution to the asymptotics of W ɛ comes from points close to the Lagrangian manifold, that is, from k S(x). This is in agreement with the fact that as ɛ 0 then W ɛ W 0 = A 2 (x)δ(k S(x)), is concentrated on the Lagrangian manifold.

16 Critical points of the Wigner phase-3 Remark 2: Let us consider the projection identity ψ ɛ (x) 2 = W ɛ (x, k)dk = 1 R N (ɛπ) N R N R N D(x, σ)e i F (x,k;σ) ɛ dσ dk The main contribution in the calculation of the last integral (over R N σ R N k ) comes from the points (σ, k) at which σ,kf = 0. These are easily is seen to be σ = 0, k = S(x). At each x these critical points are always non-degenerate. Thus in the calculation of ψ ɛ (x), the main contribution also comes from the points near the Lagrangian manifold.

17 The semiclassical approximation-1 Once we restrict attention to points k S(x), it is natural to approximate D and F by their Taylor expansion about σ = 0 D(x; σ) = A 2 (x) + O( σ 2 ), F (x, k; σ) = 2( S(x) k) σ+ 1 3 N i,j,k=1 3 S(x) x i x j x k σ i σ j σ k +O( σ 5 )

18 The semiclassical approximation-2 Keeping only the linear term in the right hand side of F, we get the (limit) Wigner measure: A 2 (x) (ɛπ) N e i ɛ 2(k S(x)) σ dσ = A 2 (x)δ(k S(x)) =: W 0 (x, k), R N while keeping the cubic terms we are led to define the semi-classical Wigner function W ɛ, ( 2 W ɛ (x, k) = ɛ 2 3 ) N A 2 (x)p N ( 2 ɛ 2 3 (k S(x)), 3 ) S(x) x i x j x k

19 The semiclassical approximation-3 where P N is the oscillatory integral P N (z, C k ) := 1 (2π) N with Note that C k = {c ijk } = S xi,x j,x k e i[zt 1 σ+ R N 3 σt C k σσ k ] dσ i, j, k = 1, 2... N P 1 (z, c) = c 1/3 Ai(zc 1/3 ) and P N (z, 0) = δ(z) for C k = 0 Remark: The integral P N is defined, in general, as a distribution, but it is a smooth function if N (σ T C i σ) 2 0, σ R N \ {0} i=1

20 The semiclassical approximation-4 Degenerate points Failure of the last condition is equivalent to the fact that there exists a unit vector ν R N such that ν T C i ν = 0 for all i = 1,... N (degenerate points). Since C i is the second derivative matrix of S(x) x i, this is equivalent to the fact that, for all i s, the surfaces k i = S(x) x i have zero normal curvature in the direction of ν R N x.

21 The semiclassical approximation-5 It is important to observe that W ɛ obeys the basic properties and W ɛ (x, k) A 2 (x)δ(k S(x)), as ɛ 0, R N W ɛ (x, k)dk = A 2 (x). Moreover, near non degenerate points the semi-classical Wigner W ɛ is a smooth function that approximates the scaled Wigner W ɛ, as ɛ tends to zero. At degenerate points either the semi-classical Wigner W ɛ fails to approximate W ɛ, or else W ɛ itself is a distribution.

22 Evolution near the Lagrangian manifold-1 Consider the Hamiltonian system d dt ˆx(q, p, t) = ˆk(q, d p, t), dt ˆk(q, p, t) = x V (ˆx(q, p, t)) with initial data ˆx(q, p, t = 0) = q ˆk(q, p, t = 0)p The distance from the manifold a(t) = a(q, p, t) = ˆk(q, p, t) x S(ˆx(q, p, t), t) evolves from its initial value a(0) = p S 0 (q), according to the ODE d dt a(t) = B(t)a(t), B(t) = ( b ij (t) = S xi x j (ˆx(q, p, t), t) )

23 Evolution near the Lagrangian manifold-2 If Φ(t) = {φ ij (t)} i,j=1,...,n Φ(0) = I N, is the fundamental solution, then a(t) = Φ(t)a(0). Similarly, the matrix C k (t) = ( c ijk (t) = S xi x j x k (ˆx(q, p, t), t) ) with initial data C k (0) = ( c ijk (0) = S 0,qi q j q k (q) ) evolves according to the ODE d dt C k(t) = B(t)C k (t) C k (t)b(t) b kl (t)c l (t) V k (t)+o(t a(0) )

24 Evolution near the Lagrangian manifold-3 and it is given by C k (t) = Φ(t) ( C l (0) + U l (t) + O(t a(0) ) ) Φ T (t)φ kl (t) where V k (t) = ( V xi x j x k (ˆx(q, p, t), t) ), and φ kl d dt U l = Φ 1 V k Φ T, U k (0) = 0, k, l = 1, 2,..., N

25 Identification of the evolution law -1 Key observation: The semiclassical Wigner W ɛ (x, k, t) = ( ) 2ɛ 2 N ( ) 3 A 2 (x, t)p N 2ɛ 2 3 â(t), Ĉk (t) where Ĉk(t) := C k (ˆq, ˆp, t) = C k (ˆq(x, k, t), ˆp(x, k, t), t) obeys the evolution law W ɛ (x, k, t) = W ) 0 ɛ (ˆq, p) p P N ( 2ɛ 2 3 p, Ûk (t) + O(t â(0) ) p=ˆp ( ) (1 + O(t 2 â(0) ) 2ɛ 2 N 3

26 Identification of the evolution law -2 Evolution law : at the exception of error terms O(t 2 â(0), the semiclassical Wigner W ɛ (x, k, t) is equal to the convolution of W 0 ɛ (ˆq, p) with a suitable phase integral, the convolution being evaluated at the point p = ˆp(x, k, t)

27 Approximate parametrix & evolution formula We set G ɛ (p, Û k (t)) := ( 2ɛ 2 3 ) N PN ( 2ɛ 2 3 p, Ûk (t)) and we then define f ɛ (x, k, t) as f ɛ (x, k, t) := G ɛ ɛ (p, Û k (t)) p W 0 (ˆq, p) = G ɛ ɛ (p, Û k (t)) p f 0 (ˆq, p). p=ˆp p=ˆp

28 Remarks on the structure of f ɛ 1. f ɛ (x, k, t) is near to W ɛ (x, k, t), for â(0) small (i.e, when phase space dynamics remains locally near the Lagrangian manifold) 2. The evolved semiclassical Wigner is in fact a P N phase integral, given by f ɛ (x, k, t) = and it follows easily that ( ) 2ɛ 2 N ( ) 3 A 2 0 (ˆq)P N 2ɛ 2 3 â(0), Ĉk (0) + Û k (t), f ɛ (x, k, t) f 0 (x, k, t) = A 2 (x, t)δ(k x S(x, t)), as ɛ 0.

29 Remarks on the structure of f ɛ 3. f ɛ (x, k, t) is a smooth function iff the point (x, S(x, t)) on Λ t is a non degenerate point. In particular, for any 0 < t < t c, the approximation f ɛ provides a P N regularization of f 0 away from degenerate points. 4. Combined evolution mechanism: the semiclassical Wigner f ɛ is not only transported by the Hamiltonian flow but also dispersed in the k direction, through its convolution with the kernel G ɛ. Such a behavior is in complete agreement with the transport dispersive character of the

30 Remarks on the structure of f ɛ 5. In the ɛ = 0 limit and W ɛ 0 (ˆq, ˆp) f 0 0 (ˆq, ˆp) G ɛ (p, Ûk(t)) δ(p), ɛ 0 Consequently, as ɛ 0, we recover Liouvillian dynamics f ɛ (x, k, t) = G ɛ (p, Ûk(t)) ɛ p W 0 (ˆq, p) p=ˆp δ(p) p f0 0 (ˆq, p) = W0 0 (ˆq, ˆp) p=ˆp where W 0 0 (ˆq, ˆp) = A 0 (ˆq)δ(ˆp S 0 (ˆq))

31 What happens at a caustic? In order to arrive at the definition of f ɛ we required the evolved semiclassical Wigner to be in agreement with W ɛ. In particular all the underlying analysis was restricted in the time interval (0, T ), T < t c. Once however we define f ɛ, it follows that f ɛ is well defined even at a caustic point (x c, t c ), if this point is a non degenerate point. At such a point, the integration R f ɛ (x N c, k, t c )dk is now k meaningful

32 Example with caustic: elliptic umbilic-1 The initial WKB function A 0 (q) 1 S 0 (q 1, q 2 ) = 1 3 q3 1 q 1 q 2 2 a(q q 2 2), a > 0 Assuming zero potential,the bicharacteristics are given by q = ˆq(x, k, t) = x kt, and the caustic in (x 1, x 2, t) space is given by p = ˆp(x, k, t) = k x 1 q 1 x 2 q 2 S 0 (q 1, q 2 ) = 0, S 0 (q 1, q 2 ) = 0, t q 1 t q 2 ( 1 + t 2 S )( t 2 S ) 0 q 1 2 t 2( 2 S ) 0 2 = 0 q 2 q 1 q 2

33 elliptic umbilic-2 Geometry of the caustic: The t = const. sections are hypocycloids with cusps A, B, C x2 B A x1 C

34 elliptic umbilic-3 For u 1 := x 1 t, u 2 := x 2 t, v := 1 2t a, the equations of the caustic are u 1 = q1 2 q q 1 v u 2 = 2q 1 q 2 + 2q 2 v v 2 = q1 2 + q2. 2 For v > 0, we set q 1 = v cos θ, q 2 = v sin θ, and u 1 = v 2 (cos 2θ + 2 cos θ) u 2 = v 2 (sin 2θ 2 sin θ)

35 elliptic umbilic-4 For fixed v (that is, fixed t) this describes a hypocycloid with three cusps. A similar analysis shows that the picture remains the same for v < 0. All three points move to infinity as t tends to either 0 or infinity. Also, at t = 1/2a, the hypocycloid reduces to a point (the origin) which is called the focus of the caustic.

36 The initial Wigner function f ɛ 0 The initial scaled Wigner function is f0 ɛ (q, p) = 1 (ɛπ) 2 e i ɛ F (q,p;σ) dσ R 2 where with F (q, x q ; σ) = 2ẑ σ + 1 t 3 (2σ3 1 6σ 1 σ2), 2 ẑ = (ẑ 1, ẑ 2 ) ẑ 1 (u, v; q) := u 1 2vq 1 + q 2 2 q 2 1, ẑ 2 (u, v; q) := u 2 2vq 2 + 2q 1 q 2,

37 The integral P 2 Let P 2 (z) = 1 (2π) 2 and define the new phase integral P 2 (z, w) := 1 (2π) 2 so that e i[z σ+ 1 3 (2σ3 1 6σ 1σ2 2)] dσ R 2 e i[z σ+w σ (2σ3 1 6σ 1σ2 2)] dσ R 2 P 2 (z, 0) = P 2 (z). Then, the following projection identity holds R2 P 2 ( γẑ(u, v; q))dq = 21/3 4π 2 P 2 ( γu, 2 1/6 γ 1/2 v) 2 γ

38 The evolved Wigner function f ɛ -1 f ɛ (x, k, t) = 1 (ɛπ) 2 e i ɛ ( 2ẑ 1 1σ 1 2ẑ 2 σ (2σ3 1 6σ 1σ2 2) dσ R 2 = (2ɛ 2 3 ) 2 P 2 ( 2ɛ 2 3 ẑ(u, v; q)) and integrating wrt. k ψ ɛ (x, t) 2 = 1 (2πɛt) 2 R 2 e i ɛ ( 1 3 ξ3 1 ξ 1ξ2 2+v(ξ2 1 +ξ2 2 ) u 1ξ 1 u 2 ξ 2 2 ) dξ 1 dξ 2 where u = x t, v = 1 2t a.

39 The evolved Wigner function f ɛ -2 This formula is valid at any point including the points on the caustic. For instance, at the focus of the caustic (x 1, x 2, t) = (0, 0, 1 2a ), that is (u 1 = u 2 = v = 0), we get ψ ɛ (0, 0, 1 2a ) = O(ɛ 1/3 ).

40 The projection identity (Berry & Wright-1980)-1 Let with ψ E (C 1, C 2, C 3 ) = 1 2π e iφ E (S 1,S 2 ;C 1,C 2,C 3 ) ds 1 ds 2 φ E (S 1, S 2 ; C 1, C 2, C 3 ) := C 1 S 1 C 2 S 2 C 3 (S 2 1 +S 2 2 )+S 3 1 3S 1 S 2 2 Put C 1 := 2 2/3 (C 1 + 2C 3 U 1 + 3(U 2 2 U 2 1 )) C 2 := 2 2/3 (C 2 + 2C 3 U 2 + 6U 1 U 2 ) Then ψ E (C 1, C 2, C 3 ) 2 = 21/3 π R 2 ψ E ( C 1, C 2, 0)dU 1 du 2

41 The projection identity -2 The important fact here is that the zero section of ψ E is expressed in terms of the Airy functions Ai&Bi, and in this sense the wave function is expressed in terms of lower order singularities.

42 -1 A.We have introduced the semiclassical Wigner function f ɛ as a formal approximation of the scaled Wigner trasform of the WKB solution to the problem. This approximation is valid near the manifold k = x S(x, t). f ɛ is an object that is richer than the limit Wigner function f 0 which is a Dirac mass concentrated on k = x S(x, t). In particular, f ɛ is an ɛ dependent oscillatory integral that tends to f 0 as ɛ tends to zero. Moreover, it obeys an evolution law which is in agreement with the transport dispersive character of the.

43 -2 B. If (x c, t c ) is a caustic point, the restriction of f 0 at this point, that is f 0 (x c, k, t c ), is not a well defined distribution in R N k, and as a consequence the amplitude at (x c, t c ) cannot be computed via the projection identity. On the contrary, f ɛ (x c, k, t c ) is a well defined function in R N k, and therefore the integral of f ɛ with respect to k is meaningful and is expected to approximate the (ɛ dependent) exact amplitude, at least on simple caustics. However, an approximation result in this direction is still missing.

44 Open problem More generally, the asymptotic nearness of f ɛ and f ɛ is an open question. The difficulty in settling these questions stems from the fact that one deals with complicated multidimensional oscillatory integrals.

Computing High Frequency Waves By the Level Set Method

Computing High Frequency Waves By the Level Set Method Computing High Frequency Waves By the Level Set Method Hailiang Liu Department of Mathematics Iowa State University Collaborators: Li-Tien Cheng (UCSD), Stanley Osher (UCLA) Shi Jin (UW-Madison), Richard

More information

Propagation of Monokinetic Measures with Rough Momentum Profiles I

Propagation of Monokinetic Measures with Rough Momentum Profiles I with Rough Momentum Profiles I Ecole Polytechnique Centre de Mathématiques Laurent Schwartz Quantum Systems: A Mathematical Journey from Few to Many Particles May 16th 2013 CSCAMM, University of Maryland.

More information

A LEVEL SET FRAMEWORK FOR TRACKING MULTI-VALUED SOLUTIONS OF NONLINEAR FIRST-ORDER EQUATIONS

A LEVEL SET FRAMEWORK FOR TRACKING MULTI-VALUED SOLUTIONS OF NONLINEAR FIRST-ORDER EQUATIONS A LEVEL SET FRAMEWORK FOR TRACKING MULTI-VALUED SOLUTIONS OF NONLINEAR FIRST-ORDER EQUATIONS HAILIANG LIU, LI-TIEN CHENG, AND STANLEY OSHER Abstract. We introduce a level set method for the computation

More information

MAE294B/SIOC203B: Methods in Applied Mechanics Winter Quarter sgls/mae294b Solution IV

MAE294B/SIOC203B: Methods in Applied Mechanics Winter Quarter sgls/mae294b Solution IV MAE9B/SIOC3B: Methods in Applied Mechanics Winter Quarter 8 http://webengucsdedu/ sgls/mae9b 8 Solution IV (i The equation becomes in T Applying standard WKB gives ɛ y TT ɛte T y T + y = φ T Te T φ T +

More information

A LEVEL SET FRAMEWORK FOR CAPTURING MULTI-VALUED SOLUTIONS OF NONLINEAR FIRST-ORDER EQUATIONS

A LEVEL SET FRAMEWORK FOR CAPTURING MULTI-VALUED SOLUTIONS OF NONLINEAR FIRST-ORDER EQUATIONS A LEVEL SET FRAMEWORK FOR CAPTURING MULTI-VALUED SOLUTIONS OF NONLINEAR FIRST-ORDER EQUATIONS HAILIANG LIU, LI-TIEN CHENG, AND STANLEY OSHER Abstract. We introduce a level set method for the computation

More information

Z. Zhou On the classical limit of a time-dependent self-consistent field system: analysis. computation

Z. Zhou On the classical limit of a time-dependent self-consistent field system: analysis. computation On the classical limit of a time-dependent self-consistent field system: analysis and computation Zhennan Zhou 1 joint work with Prof. Shi Jin and Prof. Christof Sparber. 1 Department of Mathematics Duke

More information

c 2003 International Press

c 2003 International Press COMM. MATH. SCI. Vol., No. 3, pp. 593 6 c 3 International Press COMPUTATIONAL HIGH-FREQUENCY WAVE PROPAGATION USING THE LEVEL SET METHOD, WITH APPLICATIONS TO THE SEMI-CLASSICAL LIMIT OF SCHRÖDINGER EQUATIONS

More information

Computational Methods of Physical Problems with Mixed Scales

Computational Methods of Physical Problems with Mixed Scales Computational Methods of Physical Problems with Mixed Scales Shi Jin University of Wisconsin-Madison IPAM Tutorial, March 10-12, 2008 Scales and Physical Laws Figure from E & Engquist, AMS Notice Connections

More information

Answers to Problem Set Number MIT (Fall 2005).

Answers to Problem Set Number MIT (Fall 2005). Answers to Problem Set Number 6. 18.305 MIT (Fall 2005). D. Margetis and R. Rosales (MIT, Math. Dept., Cambridge, MA 02139). December 12, 2005. Course TA: Nikos Savva, MIT, Dept. of Mathematics, Cambridge,

More information

Computational High Frequency Wave Propagation

Computational High Frequency Wave Propagation Computational High Frequency Wave Propagation Olof Runborg CSC, KTH Isaac Newton Institute Cambridge, February 2007 Olof Runborg (KTH) High-Frequency Waves INI, 2007 1 / 52 Outline 1 Introduction, background

More information

A Survey of Computational High Frequency Wave Propagation II. Olof Runborg NADA, KTH

A Survey of Computational High Frequency Wave Propagation II. Olof Runborg NADA, KTH A Survey of Computational High Frequency Wave Propagation II Olof Runborg NADA, KTH High Frequency Wave Propagation CSCAMM, September 19-22, 2005 Numerical methods Direct methods Wave equation (time domain)

More information

Introduction to Path Integrals

Introduction to Path Integrals Introduction to Path Integrals Consider ordinary quantum mechanics of a single particle in one space dimension. Let s work in the coordinate space and study the evolution kernel Ut B, x B ; T A, x A )

More information

Wave Packet Representation of Semiclassical Time Evolution in Quantum Mechanics

Wave Packet Representation of Semiclassical Time Evolution in Quantum Mechanics Wave Packet Representation of Semiclassical Time Evolution in Quantum Mechanics Panos Karageorge, George Makrakis ACMAC Dept. of Applied Mathematics, University of Crete Semiclassical & Multiscale Aspects

More information

HIGH FREQUENCY BEHAVIOR OF THE FOCUSING NONLINEAR SCHRÖDINGER EQUATION WITH RANDOM INHOMOGENEITIES

HIGH FREQUENCY BEHAVIOR OF THE FOCUSING NONLINEAR SCHRÖDINGER EQUATION WITH RANDOM INHOMOGENEITIES HIGH FREQUENCY BEHAVIOR OF THE FOCUSING NONLINEAR SCHRÖDINGER EQUATION WITH RANDOM INHOMOGENEITIES ALBERT FANNJIANG, SHI JIN, AND GEORGE PAPANICOLAOU Abstract. We consider the effect of random inhomogeneities

More information

Hyperbolic Geometric Flow

Hyperbolic Geometric Flow Hyperbolic Geometric Flow Kefeng Liu Zhejiang University UCLA Page 1 of 41 Outline Introduction Hyperbolic geometric flow Local existence and nonlinear stability Wave character of metrics and curvatures

More information

An inverse source problem in optical molecular imaging

An inverse source problem in optical molecular imaging An inverse source problem in optical molecular imaging Plamen Stefanov 1 Gunther Uhlmann 2 1 2 University of Washington Formulation Direct Problem Singular Operators Inverse Problem Proof Conclusion Figure:

More information

Local smoothing and Strichartz estimates for manifolds with degenerate hyperbolic trapping

Local smoothing and Strichartz estimates for manifolds with degenerate hyperbolic trapping Local smoothing and Strichartz estimates for manifolds with degenerate hyperbolic trapping H. Christianson partly joint work with J. Wunsch (Northwestern) Department of Mathematics University of North

More information

LECTURE 5: THE METHOD OF STATIONARY PHASE

LECTURE 5: THE METHOD OF STATIONARY PHASE LECTURE 5: THE METHOD OF STATIONARY PHASE Some notions.. A crash course on Fourier transform For j =,, n, j = x j. D j = i j. For any multi-index α = (α,, α n ) N n. α = α + + α n. α! = α! α n!. x α =

More information

Structurally Stable Singularities for a Nonlinear Wave Equation

Structurally Stable Singularities for a Nonlinear Wave Equation Structurally Stable Singularities for a Nonlinear Wave Equation Alberto Bressan, Tao Huang, and Fang Yu Department of Mathematics, Penn State University University Park, Pa. 1682, U.S.A. e-mails: bressan@math.psu.edu,

More information

ASYMPTOTIC ANALYSIS OF THE QUANTUM DYNAMICS IN CRYSTALS: THE BLOCH-WIGNER TRANSFORM AND BLOCH DYNAMICS. 1. Introduction

ASYMPTOTIC ANALYSIS OF THE QUANTUM DYNAMICS IN CRYSTALS: THE BLOCH-WIGNER TRANSFORM AND BLOCH DYNAMICS. 1. Introduction ASYMPTOTIC ANALYSIS OF THE QUANTUM DYNAMICS IN CRYSTALS: THE BLOCH-WIGNER TRANSFORM AND BLOCH DYNAMICS WEINAN E, JIANFENG LU, AND XU YANG Abstract. We study the semi-classical limit of the Schrödinger

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

THE GUTZWILLER TRACE FORMULA TORONTO 1/14 1/17, 2008

THE GUTZWILLER TRACE FORMULA TORONTO 1/14 1/17, 2008 THE GUTZWILLER TRACE FORMULA TORONTO 1/14 1/17, 28 V. GUILLEMIN Abstract. We ll sketch below a proof of the Gutzwiller trace formula based on the symplectic category ideas of [We] and [Gu-St],. We ll review

More information

Under evolution for a small time δt the area A(t) = q p evolves into an area

Under evolution for a small time δt the area A(t) = q p evolves into an area Physics 106a, Caltech 6 November, 2018 Lecture 11: Hamiltonian Mechanics II Towards statistical mechanics Phase space volumes are conserved by Hamiltonian dynamics We can use many nearby initial conditions

More information

Virtuality Distributions and γγ π 0 Transition at Handbag Level

Virtuality Distributions and γγ π 0 Transition at Handbag Level and γγ π Transition at Handbag Level A.V. Radyushkin form hard Physics Department, Old Dominion University & Theory Center, Jefferson Lab May 16, 214, QCD Evolution 214, Santa Fe Transverse Momentum form

More information

Superposition of electromagnetic waves

Superposition of electromagnetic waves Superposition of electromagnetic waves February 9, So far we have looked at properties of monochromatic plane waves. A more complete picture is found by looking at superpositions of many frequencies. Many

More information

8 Quantized Interaction of Light and Matter

8 Quantized Interaction of Light and Matter 8 Quantized Interaction of Light and Matter 8.1 Dressed States Before we start with a fully quantized description of matter and light we would like to discuss the evolution of a two-level atom interacting

More information

Kadath: a spectral solver and its application to black hole spacetimes

Kadath: a spectral solver and its application to black hole spacetimes Kadath: a spectral solver and its application to black hole spacetimes Philippe Grandclément Laboratoire de l Univers et de ses Théories (LUTH) CNRS / Observatoire de Paris F-92195 Meudon, France philippe.grandclement@obspm.fr

More information

Linear Algebra Review (Course Notes for Math 308H - Spring 2016)

Linear Algebra Review (Course Notes for Math 308H - Spring 2016) Linear Algebra Review (Course Notes for Math 308H - Spring 2016) Dr. Michael S. Pilant February 12, 2016 1 Background: We begin with one of the most fundamental notions in R 2, distance. Letting (x 1,

More information

Wave propagation in discrete heterogeneous media

Wave propagation in discrete heterogeneous media www.bcamath.org Wave propagation in discrete heterogeneous media Aurora MARICA marica@bcamath.org BCAM - Basque Center for Applied Mathematics Derio, Basque Country, Spain Summer school & workshop: PDEs,

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

Quantization of the open string on exact plane waves and non-commutative wave fronts

Quantization of the open string on exact plane waves and non-commutative wave fronts Quantization of the open string on exact plane waves and non-commutative wave fronts F. Ruiz Ruiz (UCM Madrid) Miami 2007, December 13-18 arxiv:0711.2991 [hep-th], with G. Horcajada Motivation On-going

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

Strichartz Estimates for the Schrödinger Equation in Exterior Domains

Strichartz Estimates for the Schrödinger Equation in Exterior Domains Strichartz Estimates for the Schrödinger Equation in University of New Mexico May 14, 2010 Joint work with: Hart Smith (University of Washington) Christopher Sogge (Johns Hopkins University) The Schrödinger

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

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

Asymptotic Analysis of the Quantum Dynamics in Crystals: The Bloch-Wigner Transform, Bloch Dynamics and Berry Phase

Asymptotic Analysis of the Quantum Dynamics in Crystals: The Bloch-Wigner Transform, Bloch Dynamics and Berry Phase Asymptotic Analysis of the Quantum Dynamics in Crystals: The Bloch-Wigner Transform, Bloch Dynamics and Berry Phase Weinan E, Jianfeng Lu and Xu Yang Department of Mathematics, Princeton University, Princeton,

More information

Classical field theory 2012 (NS-364B) Feynman propagator

Classical field theory 2012 (NS-364B) Feynman propagator Classical field theory 212 (NS-364B Feynman propagator 1. Introduction States in quantum mechanics in Schrödinger picture evolve as ( Ψt = Û(t,t Ψt, Û(t,t = T exp ı t dt Ĥ(t, (1 t where Û(t,t denotes the

More information

221A Lecture Notes Convergence of Perturbation Theory

221A Lecture Notes Convergence of Perturbation Theory A Lecture Notes Convergence of Perturbation Theory Asymptotic Series An asymptotic series in a parameter ɛ of a function is given in a power series f(ɛ) = f n ɛ n () n=0 where the series actually does

More information

ASYMPTOTIC THEORY FOR WEAKLY NON-LINEAR WAVE EQUATIONS IN SEMI-INFINITE DOMAINS

ASYMPTOTIC THEORY FOR WEAKLY NON-LINEAR WAVE EQUATIONS IN SEMI-INFINITE DOMAINS Electronic Journal of Differential Equations, Vol. 004(004), No. 07, pp. 8. ISSN: 07-669. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) ASYMPTOTIC

More information

Physics 443, Solutions to PS 2

Physics 443, Solutions to PS 2 . Griffiths.. Physics 443, Solutions to PS The raising and lowering operators are a ± mω ( iˆp + mωˆx) where ˆp and ˆx are momentum and position operators. Then ˆx mω (a + + a ) mω ˆp i (a + a ) The expectation

More information

Physics 443, Solutions to PS 1 1

Physics 443, Solutions to PS 1 1 Physics 443, Solutions to PS. Griffiths.9 For Φ(x, t A exp[ a( mx + it], we need that + h Φ(x, t dx. Using the known result of a Gaussian intergral + exp[ ax ]dx /a, we find that: am A h. ( The Schrödinger

More information

Math 216 Final Exam 14 December, 2017

Math 216 Final Exam 14 December, 2017 Math 216 Final Exam 14 December, 2017 This sample exam is provided to serve as one component of your studying for this exam in this course. Please note that it is not guaranteed to cover the material that

More information

Uniformly accurate averaging numerical schemes for oscillatory evolution equations

Uniformly accurate averaging numerical schemes for oscillatory evolution equations Uniformly accurate averaging numerical schemes for oscillatory evolution equations Philippe Chartier University of Rennes, INRIA Joint work with M. Lemou (University of Rennes-CNRS), F. Méhats (University

More information

On the stability of filament flows and Schrödinger maps

On the stability of filament flows and Schrödinger maps On the stability of filament flows and Schrödinger maps Robert L. Jerrard 1 Didier Smets 2 1 Department of Mathematics University of Toronto 2 Laboratoire Jacques-Louis Lions Université Pierre et Marie

More information

Kinematics of fluid motion

Kinematics of fluid motion Chapter 4 Kinematics of fluid motion 4.1 Elementary flow patterns Recall the discussion of flow patterns in Chapter 1. The equations for particle paths in a three-dimensional, steady fluid flow are dx

More information

Answers to Problem Set Number MIT (Fall 2005).

Answers to Problem Set Number MIT (Fall 2005). Answers to Problem Set Number 5. 18.305 MIT Fall 2005). D. Margetis and R. Rosales MIT, Math. Dept., Cambridge, MA 02139). November 23, 2005. Course TA: Nikos Savva, MIT, Dept. of Mathematics, Cambridge,

More information

equations in the semiclassical regime

equations in the semiclassical regime Adaptive time splitting for nonlinear Schrödinger equations in the semiclassical regime Local error representation and a posteriori error estimator Workshop, Numerical Analysis of Evolution Equations Vill,

More information

Microlocal Analysis : a short introduction

Microlocal Analysis : a short introduction Microlocal Analysis : a short introduction Plamen Stefanov Purdue University Mini Course, Fields Institute, 2012 Plamen Stefanov (Purdue University ) Microlocal Analysis : a short introduction 1 / 25 Introduction

More information

Hamiltonian partial differential equations and Painlevé transcendents

Hamiltonian partial differential equations and Painlevé transcendents Winter School on PDEs St Etienne de Tinée February 2-6, 2015 Hamiltonian partial differential equations and Painlevé transcendents Boris DUBROVIN SISSA, Trieste Lecture 2 Recall: the main goal is to compare

More information

Development of level set methods for computing the semiclassical limit of Schrödinger equations with potentials

Development of level set methods for computing the semiclassical limit of Schrödinger equations with potentials Retrospective Theses and Dissertations Iowa State University Capstones, Theses and Dissertations 28 Development of level set methods for computing the semiclassical limit of Schrödinger equations with

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

Rogue Waves: Refraction of Gaussian Seas and Rare Event Statistics

Rogue Waves: Refraction of Gaussian Seas and Rare Event Statistics Rogue Waves: Refraction of Gaussian Seas and Rare Event Statistics Eric J. Heller (Harvard University) Lev Kaplan (Tulane University) Aug. 15, 2006 Cuernavaca: Quantum Chaos (RMT) 1/27 Talk outline: Introduction:

More information

Lecture 7. More dimensions

Lecture 7. More dimensions Lecture 7 More dimensions 67 68 LECTURE 7. MORE DIMENSIONS 7.1 Introduction In this lecture we generalize the concepts introduced so far to systems that evolve in more than one spatial dimension. While

More information

Waves in weakly random media: lecture notes for the Vienna Inverse Problems school

Waves in weakly random media: lecture notes for the Vienna Inverse Problems school Waves in weakly random media: lecture notes for the Vienna Inverse Problems school Lenya Ryzhik May 6, 214 1 Introduction Wave propagation in complex media is an ubiquitous phenomenon applications include

More information

1 What s the big deal?

1 What s the big deal? This note is written for a talk given at the graduate student seminar, titled how to solve quantum mechanics with x 4 potential. What s the big deal? The subject of interest is quantum mechanics in an

More information

Elliptic Problems for Pseudo Differential Equations in a Polyhedral Cone

Elliptic Problems for Pseudo Differential Equations in a Polyhedral Cone Advances in Dynamical Systems and Applications ISSN 0973-5321, Volume 9, Number 2, pp. 227 237 (2014) http://campus.mst.edu/adsa Elliptic Problems for Pseudo Differential Equations in a Polyhedral Cone

More information

Momentum relation and classical limit in the future-not-included complex action theory

Momentum relation and classical limit in the future-not-included complex action theory Momentum relation and classical limit in the future-not-included complex action theory Keiichi Nagao Ibaraki Univ. Aug. 7, 2013 @ YITP Based on the work with H.B.Nielsen PTEP(2013) 073A03 (+PTP126 (2011)102,

More information

NONLINEAR PROPAGATION OF WAVE PACKETS. Ritsumeikan University, and 22

NONLINEAR PROPAGATION OF WAVE PACKETS. Ritsumeikan University, and 22 NONLINEAR PROPAGATION OF WAVE PACKETS CLOTILDE FERMANIAN KAMMERER Ritsumeikan University, 21-1 - 21 and 22 Our aim in this lecture is to explain the proof of a recent Theorem obtained in collaboration

More information

Symmetries in Semiclassical Mechanics

Symmetries in Semiclassical Mechanics Proceedings of Institute of Mathematics of NAS of Ukraine 2004, Vol. 50, Part 2, 923 930 Symmetries in Semiclassical Mechanics Oleg Yu. SHVEDOV Sub-Department of Quantum Statistics and Field Theory, Department

More information

NOTES ON THE SEMICLASSICAL LIMIT FOR THE DEFOCUSING DAVEY-STEWARTSON II EQUATION

NOTES ON THE SEMICLASSICAL LIMIT FOR THE DEFOCUSING DAVEY-STEWARTSON II EQUATION NOTES ON THE SEMICLASSICAL LIMIT FOR THE DEFOCUSING DAVEY-STEWARTSON II EQUATION PETER D MILLER Abstract This document summarizes and expounds upon some of the discussions held at BIRS in July- August

More information

PH.D. PRELIMINARY EXAMINATION MATHEMATICS

PH.D. PRELIMINARY EXAMINATION MATHEMATICS UNIVERSITY OF CALIFORNIA, BERKELEY SPRING SEMESTER 207 Dept. of Civil and Environmental Engineering Structural Engineering, Mechanics and Materials NAME PH.D. PRELIMINARY EXAMINATION MATHEMATICS Problem

More information

Going with the flow: A study of Lagrangian derivatives

Going with the flow: A study of Lagrangian derivatives 1 Going with the flow: A study of Lagrangian derivatives Jean-Luc Thiffeault Department of Applied Physics and Applied Mathematics Columbia University http://plasma.ap.columbia.edu/~jeanluc/ 12 February

More information

Gaussian Beam Approximations

Gaussian Beam Approximations Gaussian Beam Approximations Olof Runborg CSC, KTH Joint with Hailiang Liu, Iowa, and Nick Tanushev, Austin Technischen Universität München München, January 2011 Olof Runborg (KTH) Gaussian Beam Approximations

More information

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

Path integrals and the classical approximation 1 D. E. Soper 2 University of Oregon 14 November 2011 Path integrals and the classical approximation D. E. Soper University of Oregon 4 November 0 I offer here some background for Sections.5 and.6 of J. J. Sakurai, Modern Quantum Mechanics. Introduction There

More information

Salmon: Lectures on partial differential equations

Salmon: Lectures on partial differential equations 6. The wave equation Of the 3 basic equations derived in the previous section, we have already discussed the heat equation, (1) θ t = κθ xx + Q( x,t). In this section we discuss the wave equation, () θ

More information

Allen Cahn Equation in Two Spatial Dimension

Allen Cahn Equation in Two Spatial Dimension Allen Cahn Equation in Two Spatial Dimension Yoichiro Mori April 25, 216 Consider the Allen Cahn equation in two spatial dimension: ɛ u = ɛ2 u + fu) 1) where ɛ > is a small parameter and fu) is of cubic

More information

A path integral approach to the Langevin equation

A path integral approach to the Langevin equation A path integral approach to the Langevin equation - Ashok Das Reference: A path integral approach to the Langevin equation, A. Das, S. Panda and J. R. L. Santos, arxiv:1411.0256 (to be published in Int.

More information

2.1 Calculation of the ground state energy via path integral

2.1 Calculation of the ground state energy via path integral Chapter 2 Instantons in Quantum Mechanics Before describing the instantons and their effects in non-abelian gauge theories, it is instructive to become familiar with the relevant ideas in the context of

More information

Numerical solutions of the small dispersion limit of KdV, Whitham and Painlevé equations

Numerical solutions of the small dispersion limit of KdV, Whitham and Painlevé equations Numerical solutions of the small dispersion limit of KdV, Whitham and Painlevé equations Tamara Grava (SISSA) joint work with Christian Klein (MPI Leipzig) Integrable Systems in Applied Mathematics Colmenarejo,

More information

MICROLOCAL ANALYSIS METHODS

MICROLOCAL ANALYSIS METHODS MICROLOCAL ANALYSIS METHODS PLAMEN STEFANOV One of the fundamental ideas of classical analysis is a thorough study of functions near a point, i.e., locally. Microlocal analysis, loosely speaking, is analysis

More information

LECTURE NOTES ON GEOMETRIC OPTICS

LECTURE NOTES ON GEOMETRIC OPTICS LECTURE NOTES ON GEOMETRIC OPTICS PLAMEN STEFANOV We want to solve the wave equation 1. The wave equation (1.1) ( 2 t c 2 g )u = 0, u t=0 = f 1, u t t=0 = f 2, in R t R n x, where g is a Riemannian metric

More information

The Feynman Propagator and Cauchy s Theorem

The Feynman Propagator and Cauchy s Theorem The Feynman Propagator and Cauchy s Theorem Tim Evans 1 (1st November 2018) The aim of these notes is to show how to derive the momentum space form of the Feynman propagator which is (p) = i/(p 2 m 2 +

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

Waves and the Schroedinger Equation

Waves and the Schroedinger Equation Waves and the Schroedinger Equation 5 april 010 1 The Wave Equation We have seen from previous discussions that the wave-particle duality of matter requires we describe entities through some wave-form

More information

Microlocal Methods in X-ray Tomography

Microlocal Methods in X-ray Tomography Microlocal Methods in X-ray Tomography Plamen Stefanov Purdue University Lecture I: Euclidean X-ray tomography Mini Course, Fields Institute, 2012 Plamen Stefanov (Purdue University ) Microlocal Methods

More information

Hamiltonian partial differential equations and Painlevé transcendents

Hamiltonian partial differential equations and Painlevé transcendents The 6th TIMS-OCAMI-WASEDA Joint International Workshop on Integrable Systems and Mathematical Physics March 22-26, 2014 Hamiltonian partial differential equations and Painlevé transcendents Boris DUBROVIN

More information

Notes on Quantum Mechanics

Notes on Quantum Mechanics Notes on Quantum Mechanics Kevin S. Huang Contents 1 The Wave Function 1 1.1 The Schrodinger Equation............................ 1 1. Probability.................................... 1.3 Normalization...................................

More information

Optimal Transportation. Nonlinear Partial Differential Equations

Optimal Transportation. Nonlinear Partial Differential Equations Optimal Transportation and Nonlinear Partial Differential Equations Neil S. Trudinger Centre of Mathematics and its Applications Australian National University 26th Brazilian Mathematical Colloquium 2007

More information

Soliton-like Solutions to NLS on Compact Manifolds

Soliton-like Solutions to NLS on Compact Manifolds Soliton-like Solutions to NLS on Compact Manifolds H. Christianson joint works with J. Marzuola (UNC), and with P. Albin (Jussieu and UIUC), J. Marzuola, and L. Thomann (Nantes) Department of Mathematics

More information

An introduction to General Relativity and the positive mass theorem

An introduction to General Relativity and the positive mass theorem An introduction to General Relativity and the positive mass theorem National Center for Theoretical Sciences, Mathematics Division March 2 nd, 2007 Wen-ling Huang Department of Mathematics University of

More information

Introduction to Wigner-Weyl calculus

Introduction to Wigner-Weyl calculus October 004 Introduction to Wigner-Weyl calculus Stefan Keppeler Matematisk Fysik, Lunds Tekniska Högskola, Lunds Universitet Box 8 (visiting address: Sölvegatan 4A) 00 Lund, Sweden Office: Email address:

More information

Computation of the Semiclassical Limit of the Schrödinger Equation with Phase Shift by a Level Set Method

Computation of the Semiclassical Limit of the Schrödinger Equation with Phase Shift by a Level Set Method Computation of the Semiclassical Limit of the Schrödinger Equation with Phase Shift by a Level Set Method Shi Jin and Xu Yang Abstract In this paper, we show how the level set method, developed in [8,

More information

INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD

INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD () Instanton (definition) (2) ADHM construction (3) Compactification. Instantons.. Notation. Throughout this talk, we will use the following notation:

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

New Identities for Weak KAM Theory

New Identities for Weak KAM Theory New Identities for Weak KAM Theory Lawrence C. Evans Department of Mathematics University of California, Berkeley Abstract This paper records for the Hamiltonian H = p + W (x) some old and new identities

More information

Elements of Dynamic Ray tracing

Elements of Dynamic Ray tracing Elements of Dynamic Ray tracing ErSE360 Contents List of Figures 1 1 Introduction Coordinates systems 1 Cartesian coordinates 3 Ray coordinates γ 1 γ s 3 3 Ray-centered coordinate system q 1 q s 3 3 Coordinate

More information

Asymptotic statistics using the Functional Delta Method

Asymptotic statistics using the Functional Delta Method Quantiles, Order Statistics and L-Statsitics TU Kaiserslautern 15. Februar 2015 Motivation Functional The delta method introduced in chapter 3 is an useful technique to turn the weak convergence of random

More information

When is a Stokes line not a Stokes line?

When is a Stokes line not a Stokes line? T H E U N I V E R S I T Y O H F E D I N B U R G When is a Stokes line not a Stokes line? C.J.Howls University of Southampton, UK A.B. Olde Daalhuis University of Edinburgh, UK Work supported by EPSRC,

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

Math 575-Lecture 26. KdV equation. Derivation of KdV

Math 575-Lecture 26. KdV equation. Derivation of KdV Math 575-Lecture 26 KdV equation We look at the KdV equations and the so-called integrable systems. The KdV equation can be written as u t + 3 2 uu x + 1 6 u xxx = 0. The constants 3/2 and 1/6 are not

More information

Complex WKB analysis of energy-level degeneracies of non-hermitian Hamiltonians

Complex WKB analysis of energy-level degeneracies of non-hermitian Hamiltonians INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS A: MATHEMATICAL AND GENERAL J. Phys. A: Math. Gen. 4 (001 L1 L6 www.iop.org/journals/ja PII: S005-4470(01077-7 LETTER TO THE EDITOR Complex WKB analysis

More information

Semiclassical spin coherent state method in the weak spin-orbit coupling limit

Semiclassical spin coherent state method in the weak spin-orbit coupling limit arxiv:nlin/847v1 [nlin.cd] 9 Aug Semiclassical spin coherent state method in the weak spin-orbit coupling limit Oleg Zaitsev Institut für Theoretische Physik, Universität Regensburg, D-934 Regensburg,

More information

Fractional order operators on bounded domains

Fractional order operators on bounded domains on bounded domains Gerd Grubb Copenhagen University Geometry seminar, Stanford University September 23, 2015 1. Fractional-order pseudodifferential operators A prominent example of a fractional-order pseudodifferential

More information

Bielefeld Course on Nonlinear Waves - June 29, Department of Mathematics University of North Carolina, Chapel Hill. Solitons on Manifolds

Bielefeld Course on Nonlinear Waves - June 29, Department of Mathematics University of North Carolina, Chapel Hill. Solitons on Manifolds Joint work (on various projects) with Pierre Albin (UIUC), Hans Christianson (UNC), Jason Metcalfe (UNC), Michael Taylor (UNC), Laurent Thomann (Nantes) Department of Mathematics University of North Carolina,

More information

PHY 396 K. Problem set #5. Due October 9, 2008.

PHY 396 K. Problem set #5. Due October 9, 2008. PHY 396 K. Problem set #5. Due October 9, 2008.. First, an exercise in bosonic commutation relations [â α, â β = 0, [â α, â β = 0, [â α, â β = δ αβ. ( (a Calculate the commutators [â αâ β, â γ, [â αâ β,

More information

Wave propagation in an inhomogeneous plasma

Wave propagation in an inhomogeneous plasma DRAFT Wave propagation in an inhomogeneous plasma Felix I. Parra Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford OX NP, UK This version is of 7 February 208. Introduction In

More information

IBVPs for linear and integrable nonlinear evolution PDEs

IBVPs for linear and integrable nonlinear evolution PDEs IBVPs for linear and integrable nonlinear evolution PDEs Dionyssis Mantzavinos Department of Applied Mathematics and Theoretical Physics, University of Cambridge. Edinburgh, May 31, 212. Dionyssis Mantzavinos

More information

Hydrodynamic Limit with Geometric Correction in Kinetic Equations

Hydrodynamic Limit with Geometric Correction in Kinetic Equations Hydrodynamic Limit with Geometric Correction in Kinetic Equations Lei Wu and Yan Guo KI-Net Workshop, CSCAMM University of Maryland, College Park 2015-11-10 1 Simple Model - Neutron Transport Equation

More information

21 Renormalization group

21 Renormalization group Renormalization group. Renormalization and interpolation Probably because they describe point particles, quantum field theories are divergent. Unknown physics at very short distance scales, removes these

More information

Hyperbolic Geometric Flow

Hyperbolic Geometric Flow Hyperbolic Geometric Flow Kefeng Liu CMS and UCLA August 20, 2007, Dong Conference Page 1 of 51 Outline: Joint works with D. Kong and W. Dai Motivation Hyperbolic geometric flow Local existence and nonlinear

More information