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ON 1-DIMENSIONAL SCHR ODINGER OPERATORS WITH COMPLEX POTENTIALS - PowerPoint PPT Presentation

ON 1-DIMENSIONAL SCHR ODINGER OPERATORS WITH COMPLEX POTENTIALS JAN DEREZI NSKI Department of Mathematical Methods in Physics in collaboration with VLADIMIR GEORGESCU Universit e Cergy-Pontoise Some time ago together with Vladimir we


  1. ON 1-DIMENSIONAL SCHR¨ ODINGER OPERATORS WITH COMPLEX POTENTIALS JAN DEREZI´ NSKI Department of Mathematical Methods in Physics in collaboration with VLADIMIR GEORGESCU Universit´ e Cergy-Pontoise

  2. Some time ago together with Vladimir we decided to write a review about 1-dimensional Schr¨ odinger operators L = − ∂ 2 x + V ( x ) on L 2 ] a, b [ . We wanted to answer rather basic and classical questions: How to describe closed realizations L • of the formal operator L ? How to compute their resolvents ( L • − λ ) − 1 or Green’s operators?

  3. We wanted to be as general as possible: • a can be −∞ , b can be + ∞ . • V can be complex. • V can be very singular • V can have an arbitrary behavior close to the endpoints.

  4. Our main motivation were exactly solvable Hamiltonians such as � 1 α − 1 x 2 − β � − ∂ 2 x + x, 4 on L 2 ( R + ) or L 2 ( R ) . In exactly solvable Hamiltonians complex potentials appear naturally. Moreover, their potentials are often singular, especially at the endpoints, but also in the midle of the domain. Recently, I studied such problems together with Serge Richard and Jeremy Faupin. We thought it would be nice to have a paper describing the general framework.

  5. Of course, 1-dimensional Schr¨ odinger operators have a huge lit- erature. Many of my and Vladimir’s discoveries turned out to be rediscoveries. This does not mean they were easy or not interest- ing.

  6. Most textbooks assume that V is real. It is also convenient to suppose that V ∈ L 2 loc . Denote the closure of L restricted to C ∞ � � ] a, b [ by L min . Then L min is a Hermitian operator (com- c monly called symmetric). This means L min ⊂ L max := L ∗ min . One is mostly interested in self-adjoint extensions L • of L . They satisfy L min ⊂ L • ⊂ L max . and L ∗ • = L • .

  7. There exists a well-known abstract theory going back to von Neumann about self-adjoint extensions. One defines the deficiency spaces and indices N ± := N ( L max ∓ i) , d ± := dim N ± . L min possesses self-adjoint extensions iff d + = d − . Self-adjoint extensions of L min are parametrized by maximal subspaces of D ( L max ) / D ( L min ) ≃ N + ⊕ N − on which the anti-Hermitian form ( L max f | g ) − ( f | L max g ) is zero.

  8. odinger operators N + = N − , hence d + = d − and self- For Schr¨ adjoint extensions exist. In one dimension we have 3 possibilities: d + = d − = 0 , 1 , 2 . More precisely, we can naturally split the boundary space D ( L max ) / D ( L min ) ≃ G a ⊕ G b where G a describes the boundary condition at a and G b describes the boundary conditions at b .

  9. Let us describe the classic theory of regular boundary coditions. For simplicity we assume that G b = { 0 } . Suppose that V ∈ L 1 in a neighborhood of a . Then one can show that for f ∈ D ( L max ) the values f ( a ) and f ′ ( a ) are well-defined continuous functionals on G a . Self-adjoint extensions are L µ with µ ∈ R ∪ {∞} and D ( L µ ) := { f ∈ D ( L max ) | f ′ ( a ) = µf ( a ) } . This was essentially known to Sturm and Liouville.

  10. Now assume that V is complex. We define L max as the operator − ∂ 2 x + V ( x ) (appropriately understood—more about this later) on D ( L max ) := { f ∈ L 2 ] a, b [ | ( − ∂ 2 x + V ( x )) f ∈ L 2 ] a, b [ } . Then we define L min to be the closure of L max restricted to func- tions compactly supported in ] a, b [ . We are looking for closed operators L • such that L min ⊂ L • ⊂ L max . The most interesting are those that have a nonempty resolvent set. Such operators are sometimes called well-posed (see e.g. Edmunds-Evans).

  11. What is a natural condition for V ? If we want that V is a densely defined closable operator, then we need to assume that V ∈ L 2 loc . This is however much too restrictive. Let AC denote the space of absolutely continuous functions. More precisely, f ∈ AC ] a, b [ iff f ′ ∈ L 1 loc ] a, b [ . Similarly, f ∈ AC 1 ] a, b [ iff f ′′ ∈ L 1 loc ] a, b [ .

  12. A natural class of potentials (considered often in the literature) is V ∈ L 1 loc . If f ∈ AC 1 , then both − ∂ 2 x f and V f are well defined as elements of L 1 loc . We can define D ( L max ) := { f ∈ AC 1 ∩ L 2 | ( − ∂ 2 x + V ( x )) f ∈ L 2 } . We can rewrite ( − ∂ 2 x + V ( x ) − λ ) f = g ( ∗ ) as a first order equation with L 1 loc coefficients: � � � � � � � � f 1 0 1 f 1 0 ∂ x = + . V − λ 0 f 2 f 2 g

  13. One can do much better. As noticed by Savchuk-Shkalikov, one can assume that V = G ′ where G ∈ L 2 loc . Indeed, formally − ∂ 2 x + G ′ ( x ) = − ∂ x ( ∂ x − G ) − G ( ∂ x − G ) − G 2 . We can again rewrite ( ∗ ) as as a first order equation with L 1 loc coefficients: � � � � � � � � f 1 G 1 f 1 0 ∂ x = + . G 2 − λ − G f 2 f 2 g

  14. Clearly, if V is complex, then L min is not Hermitian, so the theory of self-adjoint extensions does not apply. But there is a different theory. L 2 ] a, b [ is equipped with a natural conjugation and a bilinear product � b � f | g � = f ( x ) g ( x )d x = ( f | g ) . a If A is bounded, we say that A # is the transpose of A ( J - conjugate of A ) if � f | Ag � = � A # f | g � .

  15. Let A have dense domain D ( A ) . We say that f ∈ D ( A # ) if there exists h such that � f | Ag � = � h | g � , g ∈ D ( A ) , and then A # f := h . We say that A is symmetric ( J -symmetric) if A ⊂ A # and self-transposed if A = A # ( J -self-adjoint). Note that σ ( A ) = σ ( A # ) . Besides ( z − A ) − 1 � # (e i tA ) # = e i tA # . � = ( z − A # ) − 1 , (Not true for Hermitian conjugation!).

  16. Let L min ⊂ L # min =: L max . Theorem. There always exist a self-transposed L • such that L min ⊂ L • ⊂ L max . Proof. [ [ f | g ] ] := � L max f | g � − � f | L max g � defines a continuous symplectic form on the boundary space G := D ( L max ) / D ( L min ) . Lagrangian subspaces correspond to self-transposed extensions. Lagrangian subspaces alway exist.

  17. Theorem. Suppose that L • satisfies L min ⊂ L • ⊂ L max . If L • is well-posed or self-transposed, then dim D ( L • ) / D ( L min ) = dim D ( L max ) / D ( L • ) .

  18. Consider again − ∂ 2 x + V ( x ) and the corresponding L min , L max . We have L min ⊂ L # min = L max . The boundary space G := D ( L max ) / D ( L min ) naturally splits in two subspaces G = G a ⊕G b . In order to describe G a and G b , for λ ∈ C we define U a ( λ ) := { f | ( L − λ ) f = 0 , f square integrable around a } . Similarly we define U b ( λ ) .

  19. Theorem. dim G a = 0 or 2 . 1) The following are equivalent: a) dim G a = 2 . b) dim U a ( λ ) = 2 for all λ ∈ C . c) dim U a ( λ ) = 2 for some λ ∈ C . 2) The following are equivalent: a) dim G a = 0 . b) dim U a ( λ ) ≤ 1 for all λ ∈ C . c) dim U a ( λ ) ≤ 1 for some λ ∈ C .

  20. If V is real then the above theorem is well-known and easy. dim G a = 2 goes under the name of the limit circle case and dim G a = 0 goes under the name of the limit point case. (These names are no longer justified if V is complex). If V is real, we know much more in the limit point case: The following are equivalent: a) dim G a = 0 . b) dim U a ( λ ) = 1 for λ ∈ C \ R and dim U a ( λ ) ≤ 1 for λ ∈ R .

  21. The usual proof for the real case does not generalize to the complex case. The main idea for the proof in the complex case is to reduce the problem to a system of 4 1st order ODE’s and to use the following result due to Atkinson:

  22. Theorem. Suppose that A, B are functions [ a, b [ → B ( C n ) be- longing to L 1 loc ([ a, b [ , B ( C n )) satisfying A ( x ) = A ∗ ( x ) ≥ 0 , B ( x ) = B ∗ ( x ) . Let J be an invertible matrix satisfying J ∗ = − J and such that J − 1 A ( x ) is real. If for some λ ∈ C all solutions of J∂ x φ ( x ) = λA ( x ) φ ( x ) + B ( x ) φ ( x ) ( a ) satisfy � b � � φ ( x ) | A ( x ) φ ( x ) d x < ∞ ( b ) a then for all λ ∈ C all solutions of (a) satisfy (b).

  23. Consider the Bessel operator given by the formal expression � 1 − 1 L α = − ∂ 2 � x + 4 + α x 2 . We will see that it is often natural to write α = m 2 Theorem 0.0.1. . 1. For 1 ≤ Re m , L min m 2 = L max m 2 . 2. For − 1 < Re m < 1 , L min m 2 � L max m 2 , and the codimension of their domains is 2 . α ) ∗ = L max 3. ( L min . Hence, for α ∈ R , L min is Hermitian. α α 4. L min and L max are homogeneous of degree − 2 . α α

  24. Notice that 1 2 ± m = 0 . Lx Let ξ be a compactly supported cutoff equal 1 around 0 . 1 2 + m ξ belongs to Dom L max Let − 1 < Re m . Note that x m 2 . This suggests to define the operator H m to be the restriction of L max m 2 to 1 Dom L min 2 + m ξ. m 2 + C x

  25. Theorem 0.0.2. . 1. For 1 ≤ Re m , L min m 2 = H m = L max m 2 . 2. For − 1 < Re m < 1 , L min m 2 � H m � L max and the codi- m 2 mension of the domains is 1 . 3. H ∗ m = H m . Hence, for m ∈ ] − 1 , ∞ [ , H m is self-adjoint. 4. H m is homogeneous of degree − 2 . 5. σ ( H m ) = [0 , ∞ [ . 6. { Re m > − 1 } ∋ m �→ H m is a holomorphic family of closed operators.

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