ground states and dynamics of the nonlinear schrodinger ...€¦ · model for bec bose-einstein...
TRANSCRIPT
Ground States and Dynamics of the Nonlinear Schrodinger / Gross-Pitaevskii Equations
Weizhu Bao
Department of Mathematics
& Center for Computational Science and Engineering National University of Singapore
Email: [email protected] URL: http://www.math.nus.edu.sg/~bao
& Beijing Computational Science Research Center (CSRC)
URL: http://www.csrc.ac.cn
Outline
Nonlinear Schrodinger / Gross-Pitaevskii equations Ground states – Existence, uniqueness & non-existence – Numerical methods & results
Dynamics – Well-posedness & dynamical laws – Numerical methods & results
Applications --- collapse & explosion of a BEC
Extension to rotation, nonlocal interaction & system Conclusions
NLSE / GPE
The nonlinear Schrodinger equation (NLSE) ---1925
– t : time & : spatial coordinate (d=1,2,3) – : complex-valued wave function – : real-valued external potential – : dimensionless interaction constant
• =0: linear; >0(<0): repulsive (attractive) interaction – Gross-Pitaevskii equation (GPE) :
• E. Schrodinger 1925’; • E.P. Gross 1961’; L.P. Pitaevskii 1961’
2 21( , ) ( ) | |2ti x t V xψ ψ ψ β ψ ψ∂ = − ∇ + +
( )dx ∈
( , )x tψ
( )V x
β
Model for BEC
Bose-Einstein condensation (BEC): – Bosons at nano-Kevin temperature – Many atoms occupy in one obit -- at quantum mechanical ground state – Form like a `super-atom’, New matter of wave --- fifth state
Theoretical prediction – S. Bose & E. Einstein 1924’
Experimental realization – JILA 1995’
2001 Noble prize in physics – E. A. Cornell, W. Ketterle, C. E. Wieman
Mean-field approximation – Gross-Pitaevskii equation (GPE) :
• E.P. Gross 1961’; L.P. Pitaevskii 1961’
BEC@ JILA
Laser beam propagation
Nonlinear wave (or Maxwell) equations Helmholtz equation – time harmonic
In a Kerr medium Paraxial (or parabolic) approximation -- NLSE
Other applications
In plasma physics: wave interaction between electrons and ions – Zakharov system, …..
In quantum chemistry: chemical interaction based on the first principle – Schrodinger-Poisson system
In materials science: – First principle computation – Semiconductor industry
In nonlinear (quantum) optics In biology – protein folding In superfluids – flow without friction
Conservation laws
Dispersive Time symmetric: Time transverse (gauge) invariant Mass conservation
Energy conservation
2 21( , ) ( ) | |2ti x t V xψ ψ ψ β ψ ψ∂ = − ∇ + +
& take conjugate unchanged!!t t→ − ⇒
2( ) ( ) --unchanged!!i tV x V x e αα ψ ψ ρ ψ−→ + ⇒ → ⇒ =
2 2( ) : ( ( , )) ( , ) ( ,0) 1, 0
d d
N t N t x t d x x d x tψ ψ ψ= = ≡ = ≥∫ ∫
2 2 41( ) : ( ( , )) ( ) (0), 02 2d
E t E t V x d x E tβψ ψ ψ ψ = = ∇ + + ≡ ≥ ∫
Stationary states
Stationary states (ground & excited states) Nonlinear eigenvalue problems: Find
Time-independent NLSE or GPE: Eigenfunctions are – Orthogonal in linear case & Superposition is valid for dynamics!! – Not orthogonal in nonlinear case !!!! No superposition for dynamics!!!
2 2
2 2
1( ) ( ) ( ) ( ) | ( ) | ( ),2
with : | (x) | 1d
dx x V x x x x x
d x
µ φ φ φ β φ φ
φ φ
= − ∇ + + ∈
= =∫
( , ) s.t.µ φ( , ) ( ) i tx t x e µψ φ −=
2 21( , ) ( ) | |2ti x t V xψ ψ ψ β ψ ψ∂ = − ∇ + +
Ground states
The eigenvalue is also called as chemical potential – With energy
Ground states -- nonconvex minimization problem
– Euler-Lagrange equation nonlinear eigenvalue problem
4: ( ) ( ) | (x) |2 d
E d xβµ µ φ φ φ= = + ∫
2 2 41( ) [ | ( ) | ( ) | ( ) | | ( ) | ]2 2d
E x V x x x d xβφ φ φ φ= ∇ + +∫
( ) min ( ) | 1, ( )g SE E S E
φφ φ φ φ φ
∈= = = < ∞
Existence & uniqueness
Theorem (Lieb, etc, PRA, 02’; Bao & Cai, KRM, 13’) If potential is confining
– There exists a ground state if one of the following holds
– The ground state can be chosen as nonnegative – Nonnegative ground state is unique if – The nonnegative ground state is strictly positive if – There is no ground stats if one of the following holds
| |( ) 0 for & lim ( )d
xV x x V x
→∞≥ ∈ = ∞
( ) 3& 0; ( ) 2 & ; ( ) 1&bi d ii d C iii dβ β β= ≥ = > − = ∈0, . . i
g g gi e e θφ φ φ=
0β ≥2loc( )V x L∈
( ) ' 3& 0; ( ) ' 2 & bi d ii d Cβ β= < = ≤ −
2 2 2 2
1 24 2
2 2
( ) ( )40 ( )
( )
inf L Lb f H
L
f fC
f≠ ∈
∇=
Key Techniques in Proof
Positivity & semi-lower continuous The energy is bounded below if conditons (i) or (ii) or (iii) and strictly convex if Confinement potential implies decay at far field The set is convex in Using convex minimization theorem Non-existence result
2( ) (| |) ( ), with | |E E E Sφ φ ρ φ ρ φ≥ = ∀ ∈ =
( ) : ( )E Eρ ρ=
2
/41 | |( ) exp , with 0
(2 ) 2d
dxx xεφ ε
πε ε
= − ∈ →
| ( ) =1 & ( )d
S x d x Eρ ρ ρ = < ∞
∫
ρ
0β ≥
Phase transition –symmetry breaking
Attractive interaction with double-well potential in 1D 2 2
2 2
1( ) ''( ) ( ) ( ) | ( ) | ( ), with | ( ) | 12
( ) ( 1) & : positive 0 negative
x x V x x x x x dx
V x x
µ φ φ φ β φ φ φ
β
∞
−∞
= − + + =
= − → →
∫
Excited states
Excited states: Open question: (Bao & W. Tang, JCP, 03’; Bao, F. Lim & Y. Zhang, Bull Int. Math, 06’)
Gaps between ground and first excited states – Linear case – fundamental gap conjecture (B. Andrews & J. Clutterbuck, JAMS 11’)
– Nonlinear case ?????
,,, 321 φφφ
1 2
1 2
1 2
, , ,
( ) ( ) ( )
( ) ( ) ( ) ???????
g
g
g
E E Eϕ ϕ ϕ
ϕ ϕ ϕ
µ ϕ µ ϕ µ ϕ
< ≤ ≤
< ≤ ≤
1 1( ) : ( ) ( ) 0, ( ) : ( ) ( ) 0g E gE Eβ β β βµδ β µ φ µ φ δ β φ φ= − > = − >
23: (0) (0) on bounded domain | |
dE D
Dµπδ δ δ= = ≥ ⊂
1 2( ) 0, ( ) 0, 0????EC Cµδ β δ β β≥ > ≥ > ≥
Computing ground states
Idea: Steepest decent method + Projection
– The first equation can be viewed as choosing in NLS – For linear case: (Bao & Q. Du, SIAM Sci. Comput., 03’)
– For nonlinear case with small time step, CNGF
2 21
11
1
0 0
1 ( ) 1( , ) ( ) | | ,2 2
( , )( , ) , 0,1,2,
|| ( , ) ||
( ,0) (x) with || ( ) || 1.
t n n
nn
n
Ex t V x t t t
xx t n
xx x
tt
δ ϕϕ ϕ ϕ β ϕ ϕδ ϕ
ϕϕ
ϕ
ϕ ϕ ϕ
+
−
++ −
+
∂ = − = ∇ − − ≤ <
= =
= =
))0(.,())(.,())(.,( 0010 φφφ EtEtE nn ≤≤≤+
τit =
0φ
1φ
2φ 1φ
??)()()()ˆ(
)()ˆ(
01
11
01
φφφφ
φφ
EEEE
EE
<<
<
gφ
Normalized gradient glow
Idea: letting time step go to 0 (Bao & Q. Du, SIAM Sci. Comput., 03’)
– Mass conservation & energy diminishing
– Numerical discretizations • BEFD: Energy diminishing & monotone (Bao & Q. Du, SIAM Sci. Comput., 03’)
• TSSP: Spectral accurate with splitting error (Bao & Q. Du, SIAM Sci. Comput., 03’)
• BESP: Spectral accuracy in space & stable (Bao, I. Chern & F. Lim, JCP, 06’)
2 22
0 0
1 ( (., ))( , ) ( ) | | , 0,2 || (., ) ||
( ,0) ( ) with || ( ) || 1.
ttx t V x t
tx x x
µ φφ φ φ β φ φ φφ
φ φ φ
∂ = ∇ − − + ≥
= =
0|| (., ) || || || 1, ( (., )) 0, 0dt E t td t
ϕ ϕ ϕ= = ≤ ≥
Ground states in 1D & 3D
Dynamics
Time-dependent NLSE / GPE Well-posedness & dynamical laws – Well-posedness & finite time blow-up – Dynamical laws
• Soliton solutions • Center-of-mass • An exact solution under special initial data
– Numerical methods and applications
2 2
0
1( , ) ( ) | | , , 02
( ,0) ( )
dti x t V x x t
x x
ψ ψ ψ β ψ ψ
ψ ψ
∂ = − ∇ + + ∈ >
=
Dynamics with no potential
Momentum conservation Dispersion relation Soliton solutions in 1D: – Bright soliton ----decaying to zero at far-field
– Dark (or gray) soliton -- nonzero &oscillatory at far-field
( ) 0, dV x x≡ ∈
( ) : Im (0) 0d
J t d x J tψ ψ= ∇ ≡ ≥∫
2( ) 21( , )2
i k x tx t Ae k Aωψ ω β−= ⇒ = +
0β <
0β >
2 20
1( ( ) )2
0( , ) sech( ( )) , , 0i vx v a tax t a x vt x e x t
θψ
β− − +
= − − ∈ ≥−
[ ]2 2 2
01( ( 2 2( ) ) )2
01( , ) tanh( ( )) ( ) , , 0
i kx k a v k tx t a a x vt x i v k e x t
θψ
β− + + − +
= − − + − ∈ ≥
Dynamics with harmonic potential
Harmonic potential
Center-of-mass: An analytical solution if
2 2
2 2 2 2
2 2 2 2 2 2
11( ) 22
3
x
x y
x y z
x dV x x y d
x y z d
γγ γ
γ γ γ
== + = + + =
2( ) ( , )
dcx t x x t d xψ= ∫
2 2 2( ) diag( , , ) ( ) 0, 0 each component is periodic!!c x y z cx t x t tγ γ γ+ = > ⇒
0 0( ) ( )sx x xψ φ= −
( , )0
2 2
( , ) ( ( )) , (0) & ( , ) 0
( , ) : | ( , ) | | ( ( )) | -- moves like a particle!!
si t iw x ts c c
s c
x t e x x t e x x w x tx t x t x x t
µψ φ
ρ ψ φ
−= − = ∆ =
⇒ = = −
2 21( ) ( ) | |2s s s s s sx V xµ φ φ φ β φ φ= − ∇ + +
Numerical difficulties
Dispersive & nonlinear Solution and/or potential are smooth but may oscillate wildly Keep the properties of NLS on the discretized level – Time reversible & time transverse invariant – Mass & energy conservation – Dispersion relation
In high dimensions: many-body problems
Design efficient & accurate numerical algorithms – Explicit vs implicit (or computation cost) – Spatial/temporal accuracy, Stability – Resolution in strong interaction regime: 1β
2 2
0
1( , ) ( ) | | , , 02
with ( ,0) ( )
dti x t V x x t
x x
ψ ψ ψ β ψ ψ
ψ ψ
∂ = − ∇ + + ∈ >
=
Numerical methods
Different methods – Crank-Nicolson finite difference method (CNFD) – Time-splitting spectral method (TSSP) – Leap-frog (or RK4) + FD (or spectral) methods – ……..
Time-splitting spectral method (TSSP) 2 2
2
( ) / 2 / 2 31
5
1( , ) ( ) with , ( ) | |2
( , ) (( ) )( , ) ( , ) ( , ) (( ) )
(( ) )
t
i A t i B tn
i A B t i A t i B t i A tn n n
i x t A B A B V x
e e x t O tx t e x t e e e x t O t
O t
ψ ψ β ψ
ψψ ψ ψ
− ∆ − ∆
− + ∆ − ∆ − ∆ − ∆+
∂ = + = − ∇ = +
+ ∆
= ≈ + ∆ + ∆
Time-splitting spectral method (TSSP)
For , apply time-splitting technique – Step 1: Discretize by spectral method & integrate in phase space exactly
– Step 2: solve the nonlinear ODE analytically
Use 2nd order Strang splitting (or 4th order time-splitting)
1[ , ]n nt t +
21( , )2ti x tψ ψ∂ = − ∇
2
2
2
2
( )[ ( ) | ( , )| ]
( , ) ( ) ( , ) | ( , ) | ( , )
(| ( , ) | ) 0 | ( , ) | | ( , ) |
( , ) ( ) ( , ) | ( , ) | ( , )
( , ) ( , )n n
t
t n
t n
i t t V x x tn
i x t V x x t x t x t
x t x t x ti x t V x x t x t x t
x t e x tβ ψ
ψ ψ β ψ ψ
ψ ψ ψ
ψ ψ β ψ ψ
ψ ψ− − +
∂ = +
⇓ ∂ = ⇒ =
∂ = +
⇒ =
Properties of TSSP
Explicit & computational cost per time step: Time symmetric: yes Time transverse invariant: yes Mass conservation: yes Stability: yes Dispersion relation without potential: yes Accuracy – Spatial: spectral order; Temporal: 2nd or 4th order
Best resolution in strong interaction regime:
( ln )O M M
1β
Interaction of 3 like vortices
Interaction of 3 opposite vortices
Interaction of a lattice
3D collapse & explosion of BEC
Experiment (Donley et., Nature, 01’) – Start with a stable condensate (as>0) – At t=0, change as from (+) to (-) – Three body recombination loss
Mathematical model (Duine & Stoof, PRL, 01’)
ψψβδψψβψψψ 420
22 ||||)(21),( ixVtx
ti −++∇−=∂∂
4 s
s
N ax
πβ =
Numerical results (Bao et., J Phys. B, 04)
Jet formation
3D Collapse and explosion in BEC
4 s
s
N ax
πβ =
3D Collapse and explosion in BEC
Extension to GPE with rotation
GPE / NLSE with an angular momentum rotation
Mass conservation
Energy conservation
2 21( , ) [ ( ) | | ] , , 02
: ( ) , ,
dt z
z y x y x
i x t V x L x t
L xp yp i x y i L x P P iθ
ψ β ψ ψ∂ = − ∇ + −Ω + ∈ >
= − = − ∂ − ∂ ≡ − ∂ = × = − ∇
2 2 42
R
1( ) : ( )2d
zE V x L d xβψ ψ ψ ψ ψ ψΩ = ∇ + −Ω + ∫
Vortex @MIT
2( ) ( , )
d
N t x t d xψ= ∫
Ground states
Ground states – Seiringer, CMP, 02’; Bao,Wang & Markowich, CMS, 05’; …..
Existence & uniqueness – Exists a ground state when – Uniqueness when – Quantized vortices appear when – Phase transition & bifurcation in energy diagram
Numerical methods --- GFDN & BEFD or BEFP
0 & min ,x yβ γ γ≥ Ω ≤
( )c βΩ < Ω
( )c βΩ ≥ Ω
min ( )S
Eφ
φΩ∈
Ground states with different Ω
Ground states of rapid rotation
BEC@MIT
Dynamics – Bao, Du & Zhang, SIAP, 05’; Bao & Cai, KRM, 13’; ……
Numerical methods A new formulation – A rotating Lagrange coordinate:
– GPE in rotating Lagrange coordinates – Analysis & numerical methods -- Bao & Wang, JCP6’; Bao, Li & Shen, SISC, 09’; Bao,
Marahrens, Tang & Zhang, 13’, …….
cos( ) sin( ) 0cos( ) sin( )
( ) for 2; ( ) sin( ) cos( ) 0 for 3sin( ) cos( )
0 0 1
t tt t
A t d A t t t dt t
Ω Ω Ω Ω = = = − Ω Ω = − Ω Ω
1( ) &
( , ) : ( , ) ( ( ) , )
x A t x
x t x t A t x tφ ψ ψ
−=
= =
2 21( , ) [ ( ( ) ) | | ] , , 02
dti x t V A t x x tφ β φ φ∂ = − ∇ + + ∈ >
Dynamics of a vortex lattice
Extension to dipolar quantum gas
Gross-Pitaevskii equation (re-scaled) – Trap potential – Interaction constants – Long-range dipole-dipole interaction kernel
References:
– L. Santos, et al. PRL 85 (2000), 1791-1797 – S. Yi & L. You, PRA 61 (2001), 041604(R); – D. H. J. O’Dell, PRL 92 (2004), 250401
( )2 2 2dip
1( , ) ( ) | | | |2t zi x t V x L Uψ β ψ λ ψ ψ ∂ = − ∇ + −Ω + + ∗
3( , )x t xψ ψ= ∈
( )2 2 2 2 2 21( )2 x y zV x x y zγ γ γ= + +
20 dip
2
4 (short-range), (long-range)3
s
s s
mNN ax x
µ µπβ λ= =
2 2 2
dip 3 33 1 3( ) / | | 3 1 3cos ( )( )
4 | | 4 | |n x xU x
x xθ
π π− ⋅ −
= =
A New Formulation
Using the identity (O’Dell et al., PRL 92 (2004), 250401, Parker et al., PRA 79 (2009), 013617)
Dipole-dipole interaction becomes
2
dip 3 2
2
dip 2
3 3( ) 1( ) 1 ( ) 3 4 4
3( ) ( ) 1| |
n nn xU x x
r r r
nU
δπ π
ξξξ
⋅ = − = − − ∂
⋅⇒ = − +
2 2dip
2 2 2
| | | | 3
1 | | | |4
n nU
r
ψ ψ ϕ
ϕ ψ ϕ ψπ
∗ = − − ∂
= ∗ ⇔ −∇ =
| | & & ( )n n n n nr x n= ∂ = ⋅∇ ∂ = ∂ ∂
A New Formulation
Gross-Pitaevskii-Poisson type equations (Bao,Cai & Wang, JCP, 10’)
– Energy
– Model in 2D
Ground state – Bao, Cai & Wang, JCP, 10’; Bao, Ben Abdallah & Cai, SIMA, 12’
Dynamics – Bao, Cai & Wang, JCP, 10’; Bao & Cai, KRM, 13’
Dimension reduction – Cai, Rosenkranz, Lei & Bao, PRA, 10’; Bao & Cai, KRM, 13’
2 2
2 2 3
| |
1( , ) ( ) ( ) | | 32
( , ) | ( , ) | , , lim ( , ) 0
t z n n
x
i x t V x L
x t x t x x t
ψ β λ ψ λ ϕ ψ
ϕ ψ ϕ→∞
∂ = − ∇ + −Ω + − − ∂ −∇ = ∈ =
3
2 2 4 21 3( ( , )) : | | ( ) | | | | | |2 2 2z nE t V x L d xβ λ λψ ψ ψ ψ ψ ψ ϕ− ⋅ = ∇ + −Ω + + ∂ ∇ ∫
0 &2ββ λ β≥ − ≤ ≤
21/2 2 2
| |( ) ( , ) | ( , ) | , , lim ( , ) 0
D
xx t x t x x tϕ ψ ϕ⊥ →∞
→ −∆ = ∈ =
Dynamics of a vortex lattice
Coupled GPEs
Spinor F=1 BEC With Analysis & numerical methods: – For ground state (Bao & Wang, SIAM J. Numer. Anal., 07’; Bao & Lim, SISC, 08’; PRE, 08’)
– For Dynamics (Bao, Markowich, Schmeiser & Weishaupl, M3AS, 05’)
2 * 21 1 1 0 1 1 1 0
2 *0 0 1 1 1 1 1 0
2 * 21 1 1 0 1 1 1 0
1[ ( ) ] ( )21[ ( ) ] ( ) 221[ ( ) ] ( )2
n s s
n s s
n s s
i V xt
i V xt
i V xt
ψ β ρ ψ β ρ ρ ρ ψ βψ ψ
ψ β ρ ψ β ρ ρ ψ βψψ ψ
ψ β ρ ψ β ρ ρ ρ ψ βψ ψ
− −
− −
− − −
∂= − ∇ + + + + − +
∂∂
= − ∇ + + + + +∂∂
= − ∇ + + + + − +∂
2 0 2 2 01 0 1
0 2
4 ( 2 ) 4 ( ), | | , ,3 3
, : s-wave scattering length with the total spin 0 and 2 channels
j j n ss s
N a a N a agx x
a a
π πρ ρ ρ ρ ρ ψ β−+ −
= + + = = =
Conclusions & Future Challenges
Conclusions: – NLSE / GPE – brief derivation
– Ground states • Existence, uniqueness, non-existence • Numerical methods -- BEFD
– Dynamics • Well-posedness & dynamical laws • Numerical methods -- TSSP
Future Challenges – System of NLSE/GPE; with random potential; high dimensions – Coupling GPE & Quantum Boltzmann equation (QBE)
Collaborators
In Mathematics – External: P. Markowich (KAUST, Vienna, Cambridge); Q. Du (PSU); J. Shen
(Purdue); S. Jin (UW-Madison); L. Pareshi (Italy); P. Degond (France); N. Ben Abdallah (Toulouse), W. Tang (Beijing), I.-L. Chern (Taiwan), Y. Zhang (MUST), H. Wang (China), Y. Cai (UW/UM), H.L. Li (Beijing), T.J. Li (Peking), …….
– Local: X. Dong, Q. Tang, X. Zhao, …….
In Physics – External: D. Jaksch (Oxford); A. Klein (Oxfrod); M. Rosenkranz (Oxford);
H. Pu (Rice), Donghui Zhang (Dalian), W. M. Liu (IOP, Beijing), X. J. Zhou (Peking U), …..
– Local: B. Li, J. Gong, B. Xiong, W. Ji, F. Y. Lim (IHPC), M.H. Chai (NUSHS), ………
Fund support: ARF Tier 1 & Tier 2