Spectral theory of asymptotic operators on the circle
ProvedAsymptoticOperator.spectral_theoryLet be continuous with for all , and let with domain . Then:
- is self-adjoint on ;
- has an orthonormal basis of eigenvectors of in , with real eigenvalues of finite multiplicity accumulating only at ;
- for the fundamental solution (, ), .
These are the basic analytic properties of the operator through which periodic orbits enter the Fredholm theory of Cauchy–Riemann operators.
import Definitions.Def_AsymptoticOperator_Setting
namespace AsymptoticOperator
open ConleyZehnder
/-- Spectral theory of the asymptotic operator: for a loop `S` of symmetric matrices,
`A_S = -J₀ ∂ₜ - S` with domain `W^{1,2}` is self-adjoint, `L²(S¹, ℝ²ⁿ)` has an
orthonormal eigenbasis whose real eigenvalues have finite multiplicity and accumulate
only at `±∞`, and `ker A_S ≅ ker(Ψ(1) - Id)` for the fundamental solution `Ψ`. -/
theorem spectral_theory {n : ℕ} (S : C(UnitAddCircle, Mat n)) (hS : IsSymLoop S) :
IsSelfAdjoint (asymptoticOperator S) ∧ HasDiscreteEigenbasis (asymptoticOperator S) ∧
∀ Ψ : ℝ → Mat n, IsFundamentalSolution S Ψ →
Nonempty (eigenspace (asymptoticOperator S) 0 ≃ₗ[ℝ]
LinearMap.ker (Matrix.toLin' (Ψ 1 - 1))) := by sorry
end AsymptoticOperator
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What the Lean code literally says, in plain math · claude-opus-5-5
Setting. Let be arbitrary ( is allowed). Let (a first and a second copy), with the standard Euclidean inner product, and the real (i.e. ) matrices, with identity . In block form with respect to the two copies, . Let with its Haar probability measure (total mass ); for write for its class in . Let be the real Hilbert space of a.e.-classes of square-integrable functions, with . For , and .
For (any representative) and , the Fourier coefficient is the vector , where is regarded as a complex vector componentwise; for a continuous map , (with regarded as a complex matrix). These are Bochner integrals (which by convention are when the integrand is not integrable). Say if the family is summable. Let be the set of pairs with and
The operator is defined as follows: if there exists a partially defined linear map on (a linear subspace and a linear map ) whose graph equals , then is such a map, chosen by the axiom of choice (its domain is then and is the corresponding ); if no such map exists, is the zero map with domain all of . The statement does not itself assert which case occurs.
Self-adjointness. For a partially defined linear map on with domain , its adjoint has domain ; if is dense in , is the unique with for all , and if is not dense, is by convention the zero map on . " is self-adjoint" means as partially defined maps: and for all in this common domain.
Discrete eigenbasis. " has a discrete eigenbasis" means: there exist an index set , a Hilbert basis of (an orthonormal family with dense linear span), and real numbers such that every lies in with , and along the cofinite filter on , i.e. for every the set is finite (automatic when is finite).
Kernel. , a real linear subspace of .
Fundamental solution. A map is a fundamental solution of if and, for every , is differentiable at (entrywise) with
Statement. Let and let be continuous with symmetric () for every . Then all three of the following hold:
- is self-adjoint in the above sense.
- has a discrete eigenbasis in the above sense.
- For every that is a fundamental solution of , there exists a real-linear isomorphism
where acts on column vectors by matrix multiplication. The isomorphism is only required to exist; no particular map is specified. Part 3 is quantified over all fundamental solutions and asserts nothing if none exists.
No other hypotheses are assumed. For , and .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.