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Spectrum of the unperturbed operator −J0∂t-J_0\partial_t−J0​∂t​

Proved
AsymptoticOperator.eigenspace_zero_loop

by Mazecto · Oct 9, 2026 · Mathlib 0df444a (Lean v4.33.1)

asymptotic-operatorconley-zehnder-indexspectral-theorysymplectic-geometryunbounded-operator

For S=0S=0S=0, μ∈R\mu\in\mathbb{R}μ∈R is an eigenvalue of A0=−J0∂tA_0=-J_0\partial_tA0​=−J0​∂t​ if and only if μ=2πk\mu=2\pi kμ=2πk for some k∈Zk\in\mathbb{Z}k∈Z, and then the eigenspace ker⁡(A0−μ)\ker(A_0-\mu)ker(A0​−μ) is linearly isomorphic to R2n\mathbb{R}^{2n}R2n. For every other μ\muμ the eigenspace is {0}\{0\}{0}.

Preamble
import Definitions.Def_AsymptoticOperator_Setting
Formal statement
namespace AsymptoticOperator

open ConleyZehnder

/-- Wendl §3.4, p. 63; Hofer–Wysocki–Zehnder (GAFA 1995), §3, p. 287 for `n = 1`: for `S = 0` the eigenvalues of `A_0 = -J₀ ∂ₜ` are
exactly `2πk`, `k ∈ ℤ`, each with a `2n`-dimensional eigenspace. -/
theorem eigenspace_zero_loop (n : ℕ) (μ : ℝ) :
    ((∃ k : ℤ, μ = 2 * Real.pi * k) →
        Nonempty (eigenspace (asymptoticOperator (0 : C(UnitAddCircle, Mat n))) μ ≃ₗ[ℝ]
          (Fin n ⊕ Fin n → ℝ))) ∧
      ((∀ k : ℤ, μ ≠ 2 * Real.pi * k) →
        eigenspace (asymptoticOperator (0 : C(UnitAddCircle, Mat n))) μ = ⊥) := by sorry

end AsymptoticOperator
Source
Wendl, Lectures on Symplectic Field Theory, arXiv:1612.01009, https://arxiv.org/abs/1612.01009, §3.4, p. 63; Hofer-Wysocki-Zehnder, Properties of pseudoholomorphic curves in symplectisations II, GAFA 5 (1995) 270-328, https://doi.org/10.1007/BF01895669, Section 3, p. 287 (n = 1)
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What the Lean code literally says, in plain math · claude-opus-5-5

Setting. Let n∈Nn \in \mathbb{N}n∈N be arbitrary (n=0n = 0n=0 is allowed). Let I={1,…,n}⊔{1,…,n}I = \{1,\dots,n\} \sqcup \{1,\dots,n\}I={1,…,n}⊔{1,…,n} (a first and a second copy), Vn=RI≅R2nV_n = \mathbb{R}^I \cong \mathbb{R}^{2n}Vn​=RI≅R2n with the standard Euclidean inner product, and Matn\mathrm{Mat}_nMatn​ the real I×II \times II×I (i.e. 2n×2n2n \times 2n2n×2n) matrices. In block form with respect to the two copies, J0=(0−IdnIdn0)J_0 = \begin{pmatrix} 0 & -\mathrm{Id}_n \\ \mathrm{Id}_n & 0 \end{pmatrix}J0​=(0Idn​​−Idn​0​). Let T=R/Z\mathbb{T} = \mathbb{R}/\mathbb{Z}T=R/Z with its Haar probability measure dtdtdt (total mass 111), and let H=L2(T,Vn)H = L^2(\mathbb{T}, V_n)H=L2(T,Vn​) be the real Hilbert space of a.e.-classes of square-integrable functions, with ⟨f,g⟩=∫T⟨f(t),g(t)⟩ dt\langle f, g \rangle = \int_{\mathbb{T}} \langle f(t), g(t) \rangle \, dt⟨f,g⟩=∫T​⟨f(t),g(t)⟩dt. For n=0n = 0n=0, V0={0}V_0 = \{0\}V0​={0} and H={0}H = \{0\}H={0}.

For f∈Hf \in Hf∈H (any representative) and k∈Zk \in \mathbb{Z}k∈Z, the Fourier coefficient is the vector f^k=∫Te−2πiktf(t) dt∈CI\hat f_k = \int_{\mathbb{T}} e^{-2\pi i k t} f(t)\, dt \in \mathbb{C}^If^​k​=∫T​e−2πiktf(t)dt∈CI, where f(t)f(t)f(t) is regarded as a complex vector componentwise (a Bochner integral). Say f∈W1,2f \in W^{1,2}f∈W1,2 if the family ((1+k2)∑i∈I∣(f^k)i∣2)k∈Z\big((1 + k^2) \sum_{i \in I} |(\hat f_k)_i|^2\big)_{k \in \mathbb{Z}}((1+k2)∑i∈I​∣(f^​k​)i​∣2)k∈Z​ is summable.

Here the loop is S=0S = 0S=0, the constant zero matrix-valued map on T\mathbb{T}T; its term (Sf)^k=∫Te−2πikt 0⋅f(t) dt\widehat{(Sf)}_k = \int_{\mathbb{T}} e^{-2\pi i k t}\, 0 \cdot f(t)\, dt(Sf)​k​=∫T​e−2πikt0⋅f(t)dt is 000. So G0⊆H×HG_0 \subseteq H \times HG0​⊆H×H is the set of pairs (f,g)(f, g)(f,g) with f∈W1,2f \in W^{1,2}f∈W1,2 and

g^k=−2πik J0f^kfor all k∈Z.\hat g_k = -2\pi i k \, J_0 \hat f_k \quad \text{for all } k \in \mathbb{Z}.g^​k​=−2πikJ0​f^​k​for all k∈Z.

The operator A0A_0A0​ is defined as follows: if there exists a partially defined linear map on HHH (a linear subspace D⊆HD \subseteq HD⊆H and a linear map T:D→HT : D \to HT:D→H) whose graph {(x,Tx):x∈D}\{(x, Tx) : x \in D\}{(x,Tx):x∈D} equals G0G_0G0​, then A0A_0A0​ is such a map, chosen by the axiom of choice (its domain D(A0)D(A_0)D(A0​) is then {f:∃g, (f,g)∈G0}\{f : \exists g,\ (f,g) \in G_0\}{f:∃g, (f,g)∈G0​} and A0fA_0 fA0​f is the corresponding ggg); if no such map exists, A0A_0A0​ is the zero map with domain all of HHH. The statement does not itself assert which case occurs.

For μ∈R\mu \in \mathbb{R}μ∈R, the eigenspace Eμ(A0)E_\mu(A_0)Eμ​(A0​) is the real linear subspace {f∈D(A0):A0f=μf}\{ f \in D(A_0) : A_0 f = \mu f \}{f∈D(A0​):A0​f=μf} of D(A0)D(A_0)D(A0​).

Statement. For every n∈Nn \in \mathbb{N}n∈N and every μ∈R\mu \in \mathbb{R}μ∈R, both of the following hold:

  1. If μ=2πk\mu = 2\pi kμ=2πk for some integer k∈Zk \in \mathbb{Z}k∈Z, then there exists a real-linear isomorphism between Eμ(A0)E_\mu(A_0)Eμ​(A0​) and the space RI≅R2n\mathbb{R}^I \cong \mathbb{R}^{2n}RI≅R2n of real functions on III; i.e. Eμ(A0)E_\mu(A_0)Eμ​(A0​) is a real vector space of dimension exactly 2n2n2n.
  2. If μ≠2πk\mu \neq 2\pi kμ=2πk for every k∈Zk \in \mathbb{Z}k∈Z, then Eμ(A0)={0}E_\mu(A_0) = \{0\}Eμ​(A0​)={0}: the only f∈D(A0)f \in D(A_0)f∈D(A0​) with A0f=μfA_0 f = \mu fA0​f=μf is f=0f = 0f=0.

No symmetry or other hypotheses are involved (the loop is fixed to be 000). For n=0n = 0n=0, H={0}H = \{0\}H={0}, every eigenspace is {0}\{0\}{0}, and part 1 asks for an isomorphism with the zero-dimensional space R0\mathbb{R}^0R0.

Human review
  • Endorsed by Shuze Chen · Oct 10, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Mazecto · Oct 10, 2026

    Confirmed by the mission captain (proposal self-audit).

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