derivation of 1d and 2d gross pitaevskii equations for
play

Derivation of 1d and 2d GrossPitaevskii equations for strongly - PowerPoint PPT Presentation

Derivation of 1d and 2d GrossPitaevskii equations for strongly confined 3d bosons Lea Bomann University of T ubingen Venice, 20 August 2019 Problem Results Limiting sequences Strategy of Proof In a nutshell Consider N interacting


  1. Derivation of 1d and 2d Gross–Pitaevskii equations for strongly confined 3d bosons Lea Boßmann University of T¨ ubingen Venice, 20 August 2019

  2. Problem Results Limiting sequences Strategy of Proof In a nutshell Consider N interacting bosons in a BEC which are in two or one spatial directions confined by a trap of diameter ε .

  3. Problem Results Limiting sequences Strategy of Proof In a nutshell Consider N interacting bosons in a BEC which are in two or one spatial directions confined by a trap of diameter ε . Let simultaneously N → ∞ and ε → 0.

  4. Problem Results Limiting sequences Strategy of Proof In a nutshell Consider N interacting bosons in a BEC which are in two or one spatial directions confined by a trap of diameter ε . Let simultaneously N → ∞ and ε → 0. We show that the dynamics of this system are effectively described by a one-/two-dimensional nonlinear equation.

  5. Problem Results Limiting sequences Strategy of Proof In a nutshell Consider N interacting bosons in a BEC which are in two or one spatial directions confined by a trap of diameter ε . Let simultaneously N → ∞ and ε → 0. We show that the dynamics of this system are effectively described by a one-/two-dimensional nonlinear equation. Joint work with Stefan Teufel. References: 1d: J. Math. Phys. 60:031902; Ann. Henri Poincar´ e 20(3):1003 2d: arXiv:1907.04547

  6. Problem Results Limiting sequences Strategy of Proof Microscopic model Coordinates: z = ( x , y ) ∈ R 3 x ∈ R d y ∈ R 3 − d N -body Hamiltonian N � � ε 2 V ⊥ ( y j − ∆ j + 1 � + � H = ε ) w N ,ε ( z i − z j ) j =1 i < j • V ⊥ : confining potential; rescaled by ε

  7. Problem Results Limiting sequences Strategy of Proof Microscopic model Coordinates: z = ( x , y ) ∈ R 3 x ∈ R d y ∈ R 3 − d N -body Hamiltonian N � � ε 2 V ⊥ ( y j − ∆ j + 1 � + � H = ε ) w N ,ε ( z i − z j ) j =1 i < j • V ⊥ : confining potential; rescaled by ε w N ,ε ( z ) := µ 1 − 3 β w � µ − β z � Pair interaction: β ∈ (0 , 1] • w ≥ 0 spherically symmetric, bounded, supp w ⊆ B 1 (0) � − 1 → µ β : effective range of the interaction • � N µ = ε 3 − d

  8. Problem Results Limiting sequences Strategy of Proof Microscopic model Coordinates: z = ( x , y ) ∈ R 3 x ∈ R d y ∈ R 3 − d N -body Hamiltonian N � � ε 2 V ⊥ ( y j − ∆ j + 1 � + � H = ε ) w N ,ε ( z i − z j ) j =1 i < j • V ⊥ : confining potential; rescaled by ε w N ,ε ( z ) := µ 1 − 3 β w � µ − β z � Pair interaction: β ∈ (0 , 1] • w ≥ 0 spherically symmetric, bounded, supp w ⊆ B 1 (0) � − 1 → µ β : effective range of the interaction • � N µ = ε 3 − d Limit: ( N , ε ) → ( ∞ , 0) with suitable restrictions

  9. Problem Results Limiting sequences Strategy of Proof Assumptions on the initial data � γ (1) � = 0 � − | ϕ ε 0 � � ϕ ε � 1 BEC: ( N ,ε ) → ( ∞ , 0) Tr lim 0 | 0 • γ (1) 0 : one-particle reduced density matrix of ψ N ,ε 0

  10. Problem Results Limiting sequences Strategy of Proof Assumptions on the initial data � γ (1) � = 0 � − | ϕ ε 0 � � ϕ ε � 1 BEC: ( N ,ε ) → ( ∞ , 0) Tr lim 0 | 0 • γ (1) 0 : one-particle reduced density matrix of ψ N ,ε 0 • Condensate wave function: ϕ ε 0 ( z ) = Φ 0 ( x ) χ ε ( y ) • transverse GS: � − ∆ y + 1 ε 2 V ⊥ ( y � χ ε ( y ) = E 0 ε 2 χ ε ( y ) ε )

  11. Problem Results Limiting sequences Strategy of Proof Assumptions on the initial data � γ (1) � = 0 � − | ϕ ε 0 � � ϕ ε � 1 BEC: ( N ,ε ) → ( ∞ , 0) Tr lim 0 | 0 • γ (1) 0 : one-particle reduced density matrix of ψ N ,ε 0 • Condensate wave function: ϕ ε 0 ( z ) = Φ 0 ( x ) χ ε ( y ) • transverse GS: � − ∆ y + 1 ε 2 V ⊥ ( y � χ ε ( y ) = E 0 ε 2 χ ε ( y ) ε ) • Φ 0 ∈ H 2 d ( R d ) → evolves in time

  12. Problem Results Limiting sequences Strategy of Proof Assumptions on the initial data � γ (1) � = 0 � − | ϕ ε 0 � � ϕ ε � 1 BEC: ( N ,ε ) → ( ∞ , 0) Tr lim 0 | 0 • γ (1) 0 : one-particle reduced density matrix of ψ N ,ε 0 • Condensate wave function: ϕ ε 0 ( z ) = Φ 0 ( x ) χ ε ( y ) • transverse GS: � − ∆ y + 1 ε 2 V ⊥ ( y � χ ε ( y ) = E 0 ε 2 χ ε ( y ) ε ) • Φ 0 ∈ H 2 d ( R d ) → evolves in time � E ( ψ N ,ε � = 0 � � 2 Energy per particle: lim ) − E b β (Φ 0 ) 0 ( N ,ε ) → ( ∞ , 0) • E ( ψ ) := 1 N � ψ, H ψ � − E 0 ε 2 • E b β (Φ) := � Φ , − ∆ x + 1 2 b β | Φ | 2 � � Φ �

  13. Problem Results Limiting sequences Strategy of Proof Effective d -dimensional Gross–Pitaevskii dynamics Theorem Under assumptions (1) and (2) and for any t ∈ R , � γ (1) ( t ) − | ϕ ε ( t ) � � ϕ ε ( t ) | � = 0 , � � ( N ,ε ) → ( ∞ , 0) Tr lim where ϕ ε ( t ) = Φ( t ) χ ε and Φ( t ) is the solution of − ∆ x + b β | Φ( t , x ) | 2 � i ∂ � ∂ t Φ( t , x ) = Φ( t , x ) with Φ(0) = Φ 0 and where | χ ( y ) | 4 d y  � 8 π a β = 1 (GP)  b β = | χ ( y ) | 4 d y � � w � 1 β ∈ (0 , 1) (NLS)  χ : ground state of − ∆ y + V ⊥ ( y ) a : scattering length of w ,

  14. Problem Results Limiting sequences Strategy of Proof Related results • X. Chen, J. Holmer. ARMA 2013. d = 2 → β ∈ (0 , 2 5 ), repulsive interactions • X. Chen, J. Holmer. APDE 2017. d = 1 → β ∈ (0 , 3 7 ), attractive interactions • J. v. Keler, S. Teufel. AHP 2016. d = 1 → β ∈ (0 , 1 3 ), repulsive interactions

  15. Problem Results Limiting sequences Strategy of Proof Simultaneous limit ( N , ε ) → ( ∞ , 0) 1 ε 0 0 1 N − 1

  16. Problem Results Limiting sequences Strategy of Proof Simultaneous limit ( N , ε ) → ( ∞ , 0) 1 ε 0 0 1 N − 1 • admissibility condition: ε must shrink fast enough → upper bound on ε

  17. Problem Results Limiting sequences Strategy of Proof Simultaneous limit ( N , ε ) → ( ∞ , 0) 1 ε 0 0 1 N − 1 • admissibility condition: ε must shrink fast enough → upper bound on ε • moderate confinement: ε must not shrink too fast → lower bound on ε

  18. Problem Results Limiting sequences Strategy of Proof Parameter range for β ∈ (0 , 1) d=2 1 1 β = 1 β = 2 3 3 0 0 0 1 1 0 1 1 N N 1 1 β = 5 β = 11 6 12 0 0 0 1 0 1 1 1 N N

  19. Problem Results Limiting sequences Strategy of Proof d = 2, β ∈ (0 , 2 Comparison with [ChHo2013] 5 ) 1 1 3 β = 1 β = 11 3 0 0 0 1 0 1 N 1 N 1 1 1 β = 11 β = 23 30 60 0 0 0 1 1 0 1 1 N N

  20. Problem Results Limiting sequences Strategy of Proof Limiting sequences for β = 1 d=2 1 0 0 1 1 N

  21. Problem Results Limiting sequences Strategy of Proof Strategy of proof • General strategy: method from [Pickl2015]

  22. Problem Results Limiting sequences Strategy of Proof Strategy of proof • General strategy: method from [Pickl2015] • Adaptation to strong confinement: • 3d micro dynamics ↔ 1d/2d effective dynamics • split interaction into quasi-1d/2d interaction + remainders • remainders controllable with admissibility condition

  23. Problem Results Limiting sequences Strategy of Proof Strategy of proof • General strategy: method from [Pickl2015] • Adaptation to strong confinement: • 3d micro dynamics ↔ 1d/2d effective dynamics • split interaction into quasi-1d/2d interaction + remainders • remainders controllable with admissibility condition Thank you very much for your attention!

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend