resonant deloc on the complete graph
play

Resonant Deloc. on the Complete Graph Michael Aizenman Princeton - PowerPoint PPT Presentation

Resonant Deloc. on the Complete Graph Michael Aizenman Princeton University Cargese, 4 Sept. 2014 Based on: M.A. - S. Warzel: Extended states ... / Resonant delocalization for random Schrdinger operators on tree graphs",


  1. Resonant Deloc. on the Complete Graph Michael Aizenman Princeton University Cargese, 4 Sept. 2014 Based on: M.A. - S. Warzel: “Extended states ...” / “Resonant delocalization for random Schrödinger operators on tree graphs", (2011,2013) M.A. - M. Shamis - S. Warzel: “Partial delocalization on the complete graph” (2014) 1 / 17

  2. Random Schrödinger operators - the question of spectral characteristics Single quantum particle on regular graph G (e.g. Z d ) H ( ω ) := − ∆ + λ V ( x ; ω ) on ℓ 2 ( G ) (Anderson ’58, Mott - Twose ’61,...) ◮ discrete Laplacian: (∆ ψ )( x ) := � dist ( x , y )= 1 ψ ( y ) − n ( x ) ψ ( x ) ◮ Disorder parameter: λ > 0 ◮ V ( x ; · ) , x ∈ G , i.i.d. rand. var., e.g. abs. cont distr. P ( V ( 0 ) ∈ dv ) Of particular interest: Localization and delocalization under disorder 2 / 17

  3. Random Schrödinger operators - the question of spectral characteristics Single quantum particle on regular graph G (e.g. Z d ) H ( ω ) := − ∆ + λ V ( x ; ω ) on ℓ 2 ( G ) (Anderson ’58, Mott - Twose ’61,...) ◮ discrete Laplacian: (∆ ψ )( x ) := � dist ( x , y )= 1 ψ ( y ) − n ( x ) ψ ( x ) ◮ Disorder parameter: λ > 0 ◮ V ( x ; · ) , x ∈ G , i.i.d. rand. var., e.g. abs. cont distr. P ( V ( 0 ) ∈ dv ) Of particular interest: Localization and delocalization under disorder (“steelpan”, Trinidad and Tobago) 2 / 17

  4. Random Schrödinger operators - the question of spectral characteristics Single quantum particle on regular graph G (e.g. Z d ) H ( ω ) := − ∆ + λ V ( x ; ω ) on ℓ 2 ( G ) (Anderson ’58, Mott - Twose ’61,...) ◮ discrete Laplacian: (∆ ψ )( x ) := � dist ( x , y )= 1 ψ ( y ) − n ( x ) ψ ( x ) ◮ Disorder parameter: λ > 0 ◮ V ( x ; · ) , x ∈ G , i.i.d. rand. var., e.g. abs. cont distr. P ( V ( 0 ) ∈ dv ) Of particular interest: Localization and delocalization under disorder Currently, delocalization remains less understood. Possible mechanisms: ◮ continuity (?) (trees: [K’96, ASiW’06]) ◮ quantum diffusion (?) [EY’00] ◮ resonant delocalization [AW’11, AShW ’14] (“steelpan”, Trinidad and Tobago) 2 / 17

  5. Eigenfunction hybridization (tunneling amplitude vs. energy gaps) � E 1 � τ Two-level system H = Reminder from QM 101: τ ∗ E 2 τ . Energy gap: ∆ E := E 1 − E 2 Tunneling amplitude: ◮ Case | ∆ E | ≫ | τ | : Localization ψ 1 ≈ ( 1 , 0 ) , ψ 2 ≈ ( 0 , 1 ) . ◮ Case | ∆ E | ≪ | τ | : Hybridized eigenfunctions 1 1 ( 1 , 1 ) , ( 1 , − 1 ) . ψ 1 ≈ √ ψ 2 ≈ √ 2 2 Heuristic explanation of the abs. cont. spectrum on tree graphs: (A-W ‘11) e − L λ ( E ) R (typ.) Tunnelling amp. for states with energy E at distances R : Since the volume grows exponentially fast as K R , extended states will form in spectral regimes with L λ ( E ) < log K . M.A., S. Warzel, JEMS 15 : 1167-1222 (2013), PRL 106 : 136804 (2011) EPL 96 : 37004 (2011) [The implications include a surprising correction of the standard picture of the phase diagram: absence of a mobility edge for the Anderson Hamiltonian on tree graphs at weak disorder (Aiz-Warzel, EPL 2011).] 3 / 17

  6. Quasimodes & their tunnelling amplitude Definition: 1. A quasi-mode (qm) with discrepancy d for a self-adjoint operator H is a pair ( E , ψ ) s.t. � ( H − E ) ψ � ≤ d � ψ � . 2. The pairwise tunnelling amplitude , among orthogonal qm’s of energy close to E may be defined as τ jk ( E ) in � e j + σ jj ( E ) � − 1 τ jk ( E ) P jk ( H − E ) − 1 P jk = . τ kj ( E ) e k + σ kk ( E ) (the “Schur complement” representation). Seems reasonable to expect: If the typical gap size for quasi-modes is ∆( E ) , the condition for resonant delocalization at energies E + Θ(∆ E ) is: ∆( E ) ≤ | τ jk ( E ) | . Question: how does that work in case of many co-resonating modes? 4 / 17

  7. Example: Schrödinger operator on the complete graph (of M sites) H M = −| ϕ 0 �� ϕ 0 | + κ M V with: √ ◮ � ϕ 0 | = ( 1 , 1 , . . . , 1 ) / M , ◮ V 1 , V 2 , . . . V M iid standard Gaussian rv’s, i.e. 1 e − v 2 / 2 , ̺ ( v ) = √ 2 π 2 log M . ◮ κ M := λ �� Remarks: ◮ Choice of ( κ M ) motivated by: inProb max { V 1 , ..., V M } � 2 log M + o ( 1 ) . = ◮ The spectrum of H for M → ∞ : → [ − λ, λ ] ∪ {− 1 , 0 } (on the ‘macroscopic scale’) . σ ( H M ) − ◮ Eigenvalues interlace with the values of K M V ◮ Studied earlier by Bogachev and Molchanov (‘89), and Ossipov (‘13) - both works focused on localization. 5 / 17

  8. Two phase transitions for H M = −| ϕ 0 �� ϕ 0 | + λ √ 2 log M V Quasi-modes: | ϕ 0 � (extended), and | δ j � j = 1 , ..., M (localized). 1. A transition at the spectral edge (1 st -order), at λ = 1 : - λ -1 0 λ < 1 : E 0 = − 1 + o ( 1 ) , (the ground state is extended) Ψ 0 ≈ ϕ 0 - λ -1 0 λ > 1 : E 0 = − λ + o ( 1 ) , Ψ 0 ≈ δ argmin ( V ) (the ground state is localized except for ‘avoided crossings’) (Similar first order trans. in QREM and ... were studied [num. & rep.] by Jörg, Krzakala, Kurchan, Maggs ’08, Jörg, Krzakala, Semerjian, Zamponi ’10, ... More on the subject in the talks of Leticia Cugliandolo and Simone Warzel) 2. Emergence of a band of semi-delocalized states: of main interest here √ at energies near E = − 1 , for λ > 2 . A similar band near E = 0 is found for all λ > 0 . 6 / 17

  9. Helpful tools: I. the characteristic equation Proposition The eigenvalues of H M intertwine with the values of κ V . The spectrum of H M consists of the collection of energies E for which M 1 1 � κ M V ( x ) − E = 1 , (1) F M ( E ) := M x = 1 and the corresponding eigenfunctions are given by: Const . (2) ψ E ( x ) = κ M V ( x ) − E . Proof: “rank one” perturbation theory = ⇒ for any z ∈ C \ R : 1 1 1 1 κ M V − z + [ 1 − F M ( z )] − 1 (3) H M − z = κ M V − z | ϕ 0 �� ϕ 0 | κ M V − z , In particular, � ϕ 0 , ( H M − z ) − 1 ϕ 0 � = ( F M ( z ) − 1 − 1 ) − 1 . The spectrum and eigenfunctions are given by the poles and residues of this “resolvent”. 7 / 17

  10. The scaling limit Zooming onto scaling windows centered at a sequence of energies E M with: lim and |E M − E| ≤ C / ln M , M →∞ E M = E ∈ [ − λ, λ ] , u n , M := E n , M − E M ω n , M := κ M V j − E M denote , . ∆ M ( E M ) ∆ M ( E M ) rescaled eigenvalues rescaled potential values Questions of interest: 1. the nature of the limiting point process of the rescaled eigenvalues (including: extent of level repulsion (?), and relation to rescaled potential values) 2. the nature of the corresponding eigenfunctions (extended versus localized, and possible meaning of these terms). 8 / 17

  11. Results (informal summary) Theorem 1 [Bands of partial delocalization (A., Shamis, Warzel)] If either ◮ E = 0, λ > 0; or √ ◮ E = − 1, and λ > 2, ( ց ̺ ’s Hilbert transform) � 1 − κ − 1 � and additionally the lim exists: lim M →∞ M ∆ M ( E ) M ̺ ( E M /κ M ) =: α then: I. the eigenvalues within the scaling window are delocalized in ℓ 1 sense , localized in ℓ 2 sense. II. the rescaled eigenvalue point process converges in distribution to the Šeba point process at level α [defined below]. √ Theorem 2 [A non-resonant delocalized state for λ < 2] √ For λ < 2, there is a sequence of energies satisfying lim M →∞ E M = − 1 such that within the scaling windows centered at E M : 1. There exists one eigenvalue for which the corresponding eigenfunction ψ E is ℓ 2 -delocalized [. . . ] 2. All other eigenfunctions in the scaling window are ℓ 2 -localized [. . . ] Elsewhere localization (Theorem 3 – not displayed here). 9 / 17

  12. Key elements of the proof ◮ Rank-one perturbation arguments yield the characteristic equation: 1 1 � κ M V n − E = 1 Eigenvalues : ( ∗ ) M n 1 Eigenvectors : ψ j , E = up to normalization κ M V j − E ◮ To study the scaling limit we distinguish between the head contribution in (*), S M ,ω ( u ) , and the tail sum, transforming (*) into: S M ,ω ( u ) = M ∆ M ( E ) − T M ,ω ( u ) := − R M ,ω ( u ) with 1 [ | ω n | ≥ ln M ] � T M ,ω ( u ) = ω M , n − u n ◮ Prove & apply some general results concerning limits of random Pick functions (aka Herglotz - Nevanlinna functions). In particular: the scaling limit of a function such as R M ,ω ( u ) is either: i. constant ⇒ Šeba process & semi-delocalization, ii. singular (+ ∞ ) or ( −∞ ) ⇒ localization, or iii. singular with transition ⇒ localization + single deloc. state √ ( E = − 1 , λ < 2) 10 / 17

  13. Putting it all together (with details in appended slides) 1. Proofs of Theorems 1 - 3 (the spectral characteristics of H M ,ω ) 1 1 � κ M V n − E = 1 Eigenvalues : ( ∗ ) Recall: M n 1 Eigenvectors : ψ j , E = up to normalization κ M V j − E distinguishing head S M ,ω ( u ) versus tail contributions, rewrite (*) as: S M ,ω ( u ) = M ∆ M ( E ) − T M ,ω ( u ) 1 [ | ω n |≤ ln M ] 1 [ | ω n |≥ ln M ] with and , S M ,ω ( u ) = � T M ,ω ( u ) = � n ω M , n − u n ω M , n − u apply the general results on such functions. 2. The heuristic criterion for resonant delocalization “checks out” yields the correct answer. 3. The localization criteria require some discussion ( ℓ 2 versus ℓ 1 ). 4. Comment on operators with many mixing modes (crossover to random matrix asymptotics) 11 / 17

  14. Thank you for your attention Alternatively - some further details are given below 12 / 17

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