Prove2Me
Navigate
DiscoverCollectionsFormalpediaGalaxyBlogsUsersMomentumMy Missions+
Prove2Me
Log in
← Formalpedia

The asymptotic operator has an orthonormal eigenbasis with discrete spectrum

Proved
AsymptoticOperator.hasDiscreteEigenbasis

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

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

Let S:S1→R2n×2nS:S^1\to\mathbb{R}^{2n\times2n}S:S1→R2n×2n be continuous with S(t)T=S(t)S(t)^{\mathsf T}=S(t)S(t)T=S(t) for all ttt. There are an orthonormal basis (ei)i∈I(e_i)_{i\in I}(ei​)i∈I​ of L2(S1,R2n)L^2(S^1,\mathbb{R}^{2n})L2(S1,R2n) and real numbers (λi)i∈I(\lambda_i)_{i\in I}(λi​)i∈I​ such that every eie_iei​ lies in W1,2W^{1,2}W1,2, ASei=λieiA_Se_i=\lambda_ie_iAS​ei​=λi​ei​, and for every c≥0c\ge0c≥0 only finitely many iii satisfy ∣λi∣≤c|\lambda_i|\le c∣λi​∣≤c.

In particular the spectrum of ASA_SAS​ consists of real eigenvalues of finite multiplicity, accumulating only at ±∞\pm\infty±∞.

Preamble
import Definitions.Def_AsymptoticOperator_Setting
Formal statement
namespace AsymptoticOperator

open ConleyZehnder

/-- Wendl §3.2, p. 46; Hofer–Wysocki–Zehnder (GAFA 1995), §3, p. 285 for `n = 1`: `L²(S¹, ℝ²ⁿ)` has an orthonormal basis of
eigenvectors of `A_S`; the eigenvalues are real, have finite multiplicity and
accumulate only at `±∞`. -/
theorem hasDiscreteEigenbasis {n : ℕ} (S : C(UnitAddCircle, Mat n)) (hS : IsSymLoop S) :
    HasDiscreteEigenbasis (asymptoticOperator S) := by sorry

end AsymptoticOperator
Source
Wendl, Lectures on Symplectic Field Theory, arXiv:1612.01009, https://arxiv.org/abs/1612.01009, §3.2, p. 46; Hofer-Wysocki-Zehnder, Properties of pseudoholomorphic curves in symplectisations II, GAFA 5 (1995) 270-328, https://doi.org/10.1007/BF01895669, Section 3, p. 285, after equation (35) (n = 1)
Read-back

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; for a continuous map S:T→MatnS : \mathbb{T} \to \mathrm{Mat}_nS:T→Matn​, (Sf)^k=∫Te−2πiktS(t)f(t) dt∈CI\widehat{(Sf)}_k = \int_{\mathbb{T}} e^{-2\pi i k t} S(t) f(t)\, dt \in \mathbb{C}^I(Sf)​k​=∫T​e−2πiktS(t)f(t)dt∈CI (with S(t)S(t)S(t) regarded as a complex matrix). These are Bochner integrals (which by convention are 000 when the integrand is not integrable). 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. Let GS⊆H×HG_S \subseteq H \times HGS​⊆H×H be 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^k−(Sf)^kfor all k∈Z.\hat g_k = -2\pi i k \, J_0 \hat f_k - \widehat{(Sf)}_k \quad \text{for all } k \in \mathbb{Z}.g^​k​=−2πikJ0​f^​k​−(Sf)​k​for all k∈Z.

The operator ASA_SAS​ 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 GSG_SGS​, then ASA_SAS​ is such a map, chosen by the axiom of choice (its domain is then {f:∃g, (f,g)∈GS}\{f : \exists g,\ (f,g) \in G_S\}{f:∃g, (f,g)∈GS​} and ASfA_S fAS​f is the corresponding ggg); if no such map exists, ASA_SAS​ is the zero map with domain all of HHH. The statement does not itself assert which case occurs.

For a partially defined linear map AAA on HHH with domain D(A)D(A)D(A), "AAA has a discrete eigenbasis" means: there exist an index set ι\iotaι, a Hilbert basis (bi)i∈ι(b_i)_{i \in \iota}(bi​)i∈ι​ of HHH (an orthonormal family with dense linear span), and real numbers (λi)i∈ι(\lambda_i)_{i \in \iota}(λi​)i∈ι​ such that every bib_ibi​ lies in D(A)D(A)D(A) with Abi=λibiA b_i = \lambda_i b_iAbi​=λi​bi​, and ∣λi∣→∞|\lambda_i| \to \infty∣λi​∣→∞ along the cofinite filter on ι\iotaι, i.e. for every C∈RC \in \mathbb{R}C∈R the set {i∈ι:∣λi∣≤C}\{ i \in \iota : |\lambda_i| \le C \}{i∈ι:∣λi​∣≤C} is finite. (When ι\iotaι is finite this last condition holds automatically.)

Statement. For every n∈Nn \in \mathbb{N}n∈N and every continuous S:T→MatnS : \mathbb{T} \to \mathrm{Mat}_nS:T→Matn​ such that S(t)S(t)S(t) is symmetric (S(t)T=S(t)S(t)^{\mathsf T} = S(t)S(t)T=S(t)) for every t∈Tt \in \mathbb{T}t∈T, the operator ASA_SAS​ (as defined above, including the fallback) has a discrete eigenbasis in the above sense: there are an index set ι\iotaι, a Hilbert basis (bi)(b_i)(bi​) of L2(T,R2n)L^2(\mathbb{T}, \mathbb{R}^{2n})L2(T,R2n), and reals λi\lambda_iλi​ with bi∈D(AS)b_i \in D(A_S)bi​∈D(AS​), ASbi=λibiA_S b_i = \lambda_i b_iAS​bi​=λi​bi​ for all iii, and {i:∣λi∣≤C}\{i : |\lambda_i| \le C\}{i:∣λi​∣≤C} finite for every CCC. No other hypotheses are assumed. For n=0n = 0n=0 the space is {0}\{0\}{0} and the statement is satisfied with an empty index set.

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).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paperProve2Me Team
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me