Alphabeta Math
Pipeline-generated
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Cm Math Kam

1 · Prerequisites

2 · Summary

The analytic KAM layer of the non-relativistic classical mechanics collection, all of it mathematics. The page proves, from explicit hypotheses and with every constant accounted for, that a real analytic nondegenerate Hamiltonian H(p,ϑ)=h(p)+F(p,ϑ) on an action-angle domain retains a positive-measure family of invariant Lagrangian tori carrying quasi-periodic motion, with frequency vectors satisfying the Diophantine condition ∣k⋅ν∣≥α∣k∣1−τ, once the perturbation is small in the classical sense ∥F∥≤cα2. Every item carries domain: mathematics and depends only on mathematical suppliers; nothing here asserts that any mechanical system is governed by such a Hamiltonian.

The framework is fixed by Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels: the angular torus Tn=(R/2πZ)n, the action-angle-parameter neighbourhoods Dr,s,h(Ω)=Br×Ss×Oh(Ω) of complex widths, holomorphy and sup-norms, the Fourier coefficients, mean and cutoff TK, and the (α,τ)-Diophantine label set Ωα,τ. All measures, choices and conventions used later are declared there, including the countable-choice convention.

The analytic estimates are Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods: Fourier decay ∣gk∣≤Me−(s−σ)∣k∣1, Cauchy bounds for first and second derivatives on domains with margins, the lattice shell count #{∣k∣1=m}≤4nmn−1 and the exponential small-divisor sums ∑k≠0∣k∣1τe−σ∣k∣1≤Cn,τσ−(τ+n).

The linear homological equation ν⋅∂ϑu=v on a Diophantine label set, with uniform parameter bounds and conservative loss solves ν⋅∂ϑu=v for zero-mean data by Fourier division, with the conservative loss τ+n on a complex parameter neighbourhood, and Affine Taylor splitting in the actions and conservative Fourier truncation of a small perturbation performs the affine Taylor splitting and the truncated Fourier approximation of the perturbation. One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound builds the generator F with {F,N}+R^=R, estimates its time-one flow in the weighted norm W=diag⁡(r−1I,σ−1I), records its 2π-equivariance in the angle variable, and derives the quadratic remainder ε+≤C[ε/(αrσμ)+η2+σ−ne−σK/2]ε. Elimination of the frequency shift by a holomorphic contraction retraction eliminates the frequency shift by a contraction on a complex ball, and The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses verifies, with explicit geometric sequences (σj,Kj,hj,sj,Ej), that every step hypothesis holds at every stage.

Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds composes the one-step maps, proves uniform convergence of the transformations on the real slice L={0}×Ss0/4×Ωα,τ together with all angular derivatives, and records the size bounds and the frequency-Lipschitz bound. The parameter KAM limit: invariant quasi-periodic motion with frequency ν and Lagrangian images passes the normal form to the limit: the limiting family satisfies XH∘Ψ∞=DΨ∞⋅(0,ν) with frequency ν, the motion on each torus is conjugate to ϑ↦ϑ+νt, and the Lagrangian pullback vanishes. The KAM limit parametrisation is an embedding of the torus: injectivity modulo 2π, rank-n differential and Lipschitz inverse shows that the limiting parametrisation is injective modulo 2π, descends to an injective continuous map of Tn, has rank-n differential and a Lipschitz inverse: each limiting torus is an embedded torus, not merely an immersion, and Conjugation symmetry of the KAM construction: real perturbations produce real tori shows that conjugation symmetric (real analytic) data produce tori in the real phase space.

Nondegenerate frequency reduction: translating the action variable by the inverse frequency map and the ε≤cα2 smallness eliminates the parameter by the inverse frequency map b=(Dh)−1: with the action substitution p=b(ν)+I the perturbation becomes Ph+F with ∣Ph∣≤M2∣I∣2, and the choice r=ε/M2 converts the threshold into ε≤cα2. Small-divisor slabs and the positive measure of the Diophantine set: the resonance covering has measure O(α) estimates the resonant set ⋃k≠0{∣k⋅ν∣<α∣k∣1−τ} in a cube by O(α), so the Diophantine set has positive measure for small α. Positive-measure families of invariant Lagrangian tori for nondegenerate real analytic Hamiltonians: persistence for ε≤cα2 assembles the chain into the classical positive-measure persistence theorem: for a nondegenerate real analytic h (through the inverse frequency map and a Hessian bound M2) and ε≤cα2, a positive-measure set of frequencies carries invariant Lagrangian tori, and their union has positive 2n-dimensional Lebesgue measure in phase space. The theorem is a statement about Lebesgue measure, not about probability or empirical frequency.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

DefinitionDefinition: AI-adaptedProof: Not applicableprecheck passOpen item page →

Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels

Definition

Throughout, fix an integer n≥1. The space Rn is read through Complex m-space and its real coordinate dictionary and Cn carries the polydisc geometry of Balls, polydiscs and the distinguished boundary in Cm. We relabel the suppliers' coordinates indexed by 0,…,m−1 as zi:=z(i−1) for 1≤i≤m; every coordinate tuple and derivative below uses this relabelling. All norms below are supremum norms: for z∈Cm,

∣z∣∞:=max⁡1≤i≤m∣zi∣,∣z∣1:=∑i=1m∣zi∣.

Angular torus. Let Z be the integers (The integers as equivalence classes of pairs of naturals). Write k=(k1,…,kn)∈Zn, ∣k∣1=∣k1∣+⋯+∣kn∣, and let (2πZ)n:={2πk:k∈Zn}⊆Rn. On Rn define the relation ϑ∼ϑ′ by ϑ−ϑ′∈(2πZ)n. This is an equivalence relation, and the angular torus is the quotient set

Tn:=(R/2πZ)n:=Rn/ ⁣∼

with the quotient topology (The quotient topology of a surjection, quotient maps, saturated sets, and the quotient of a space by an equivalence relation with its canonical projection, The product set ∏i∈IXi of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space), and canonical projection π:Rn→Tn, which is continuous (Continuity of a map of topological spaces at a point and globally). A map f:Rn→X is 2π-periodic if f(ϑ+2πk)=f(ϑ) for all ϑ∈Rn, k∈Zn; such an f factors uniquely through π, and a map on Tn is, by definition, a 2π-periodic map on Rn read through this factorisation. A function on Tn is continuous, resp. real analytic, when its 2π-periodic representative has that property. Here real analytic has the componentwise meaning of Real analytic germs in several variables: near every real point each real component is represented by an absolutely convergent power series in the real coordinates, and the same coefficients define a holomorphic function on a complex polydisc whose restriction is the given real component. For a vector-valued map this condition applies to each of its finitely many scalar components.

Action-angle neighbourhoods. For 0<r and 0<s≤∞ put

Br:={I∈Cn:∣I∣∞<r},Ss:={ϑ∈Cn:∣Im ϑ∣∞<s},

and, for a set Ω⊆Rn (always measurably or topologically qualified in the uses below) and h≥0,

Oh(Ω):={ν∈Cn:dist⁡∞(ν,Ω)<h},dist⁡∞(ν,Ω):=inf⁡ω∈Ω∣ν−ω∣∞.

For Ω=∅ the infimum is taken in the extended nonnegative reals with inf⁡∅=+∞, so Oh(∅)=∅ for every finite h≥0. Supremum norms of functions on an empty domain are 0 (the supremum in [0,+∞]). Thus an empty Diophantine label set gives an empty parameter family; results quantified over its labels are vacuous, and positive-measure assertions require their separately stated hypotheses.

The action-angle neighbourhood of width (r,s,h) over Ω is the open product

Dr,s,h(Ω):=Br×Ss×Oh(Ω)⊆C2n×Cn,

and Dr,s(Ω):=Br×Ss. In the KAM construction the parameter set is a frequency label set Ωα⊆Rn (defined below) and the relevant parameter neighbourhoods are Oh(Ωα); the scale of a step is measured by the three widths r,s,h and an angular margin σ>0.

Holomorphic data and norms. A function g:Dr,s,h(Ω)→C is holomorphic on Dr,s,h(Ω) when it is continuous and separately holomorphic in each of the 2n+n complex variables (Separately holomorphic functions, Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions); equivalently, by A continuous separately holomorphic function is the sum of an absolutely convergent power series with Cauchy-integral coefficients on every smaller polydisc, it is given near every point by an absolutely convergent power series in the (I,ϑ,ν) variables. The sup-norms are

∣g∣r,s:=sup⁡Br×Ss∣g∣,∣g∣r,s,h:=∣g∣r,s,h(Ω):=sup⁡Dr,s,h(Ω)∣g∣∈[0,+∞].

The first norm applies to a function of (I,ϑ) alone; the second applies to a function of (I,ϑ,ν) on its declared product domain. They are distinct notations: O0(Ω)=∅, so the three-width norm at h=0 is 0, not the phase-only norm.

A phase function g:Br×Ss→C is 2π-periodic in the angles if g(I,ϑ+2πk)=g(I,ϑ) for every I∈Br, ϑ∈Ss and k∈Zn. For a parameter-dependent function on Dr,s,h(Ω) this means g(I,ϑ+2πk,ν)=g(I,ϑ,ν) for every point (I,ϑ,ν) of that domain and every k∈Zn. Real angular translations preserve Ss, so these equalities are defined on the entire declared domain.

Where no parameter occurs we write g∈Hr,s if g is holomorphic on Br×Ss, 2π-periodic in the angles and ∣g∣r,s<+∞; and g∈Hr,s,h if g is holomorphic on Dr,s,h(Ω), 2π-periodic in the angles and ∣g∣r,s,h<+∞. Functions of ϑ alone use the same periodicity condition with I omitted. Thus at fixed non-angle variables the restriction to real angles factors through Tn; the strip norms are suprema over complex angular representatives and the integrals below are integrals of the descended real-angle functions.

Fourier coefficients, mean and cutoff. Let g∈Hr,s. For k∈Zn and I∈Br the Fourier coefficient is the iterated Riemann integral

gk(I):=1(2π)n∫02π ⁣ ⁣⋯ ⁣∫02πg(I,ϑ) e−ik⋅ϑ dϑn⋯dϑ1,

as in Sections, lower and upper section integrals, and iterated Riemann integrals on product rectangles and Jordan sets; by Riemann--Fubini on product rectangles, with lower and upper section integrals and content-zero exceptional sections it equals the multiple Riemann integral over [0,2π]n and is independent of the order of integration. The angular mean of g is [g]:=g0, so [g](I)=1(2π)n∫[0,2π]ng(I,ϑ) dϑ; g is zero-mean if [g]=0 for every I∈Br. For a real number K≥0 the Fourier cutoff TKg is the trigonometric polynomial

TKg(I,ϑ):=∑k∈Zn, ∣k∣1≤Kgk(I) eik⋅ϑ.

The sum is finite because ∣k∣1≤K bounds each ∣ki∣ by K. For a function g of (I,ϑ,ν) the same notations apply with the ν-variable carried along; e.g. [g], gk and TKg are then functions of (I,ν).

Frequency label sets. Let Ω⊆Rn be open, α>0 and τ>n−1. A frequency ν∈Rn is (α,τ)-Diophantine if

∣k⋅ν∣≥α ∣k∣1−τfor every k∈Zn∖{0},

with k⋅ν=∑ikiνi. The label set is

Ωα,τ:=Ω∩{ν∈Rn:ν is (α,τ)-Diophantine}.

Ωα,τ is closed in Ω and contained in the global (α,τ)-Diophantine set; it need not have interior points. Write Ω^:=Ω when τ,α are fixed and no confusion arises. The parameter neighbourhoods used below are Oh(Ωα,τ).

Hamiltonians, canonical form and Poisson bracket. A Hamiltonian datum on Dr,s,h(Ω) is a holomorphic H:Dr,s,h(Ω)→C which is 2π-periodic in the angles and real-valued on real points; in particular we consider families H(I,ϑ;ν)=e(ν)+ν⋅I+P(I,ϑ,ν) where e is holomorphic on Oh(Ω) and real on real points, and P∈Hr,s,h is real on real points. On the real phase slice pair the coordinates as q=ϑ, p=I in the phase-domain notation of A phase domain, its canonical one-form and its standard symplectic two-form. On the complex phase domain Br×Ss, identify phase tangent vectors in angle-first order with v=(vϑ,vI)∈C2n, and define the standard complex two-form to be the constant alternating complex bilinear form

ω=∑i=1ndϑi∧dIi,ω(v,w):=∑i=1n((vϑ)i(wI)i−(vI)i(wϑ)i).

Here dϑi(v)=(vϑ)i, dIi(v)=(vI)i, and the wedge denotes the alternating product displayed above. No complex conjugation occurs. Fix any parameter λ∈Oh(Ω), real or complex. All derivatives of H( ⋅ ;λ) below are complex derivatives in the phase variables alone. The power-series coefficient bounds of A continuous separately holomorphic function is the sum of an absolutely convergent power series with Cauchy-integral coefficients on every smaller polydisc meet the hypotheses of An absolutely convergent multi-indexed power series is holomorphic and differentiates termwise, so these derivatives exist, are holomorphic, and give the complex linear phase differential

dphH(v):=Hϑ⋅vϑ+HI⋅vI.

The Hamiltonian vector field is the holomorphic phase map

XH=(HI,−Hϑ)in (ϑ,I) order,θ′=HI,I′=−Hϑ  (Hamilton’s equations),

These are the component equations for a C1 curve γ:J→Ss×Br on a nonempty open real interval J, in angle-first order, with γ′(t)=XH(γ(t);λ) for every t∈J; such a curve is called an integral curve at fixed parameter λ. It is characterised by ιXHω=dphH, meaning ω(XH,v)=dphH(v) for every phase vector v: substitution gives HI⋅vI+Hϑ⋅vϑ, and comparison of the coefficients of vI,vϑ determines XH uniquely. For holomorphic phase functions f,g on the same domain, with parameters held fixed, define their Poisson bracket by

{f,g}:=ω(Xf,Xg)=fϑ⋅gI−fI⋅gϑ=∇phfTJ∇phg,

where ∇phf=(fϑ,fI) and J=(0In−In0) in angle-first order. The equalities follow by substitution into the displayed bilinear form. For real λ, the real-valued restriction of a Hamiltonian datum to (Br∩Rn)×Rn is smooth by the same power-series suppliers, hence satisfies the real C2 hypotheses of The Hamiltonian field of a C2 function on a phase domain is J∇H, and the Poisson bracket is ∑i(∂qif ∂pig−∂pif ∂qig). That supplier identifies the restricted field with its real Hamiltonian field. Holomorphic f,g that are real on real points likewise have smooth real restrictions, to which that supplier's bracket formula applies. More generally, for C1 functions H,f,g:U→R on an open real phase domain U we use the same coordinate formulas with real partial derivatives: they define continuous fields and brackets, and the same coefficient comparison gives ιXHω=dH without invoking the C2 supplier.

In particular {f,e+ν⋅I}=ν⋅fϑ for every holomorphic phase function f, and for every real C1 phase function f when e,ν and the phase variables are real.

Angular parametrisations and Lagrangian images. Fix a Hamiltonian datum H. For parameter-dependent data, fix a value λ∈Oh(Ω) and use H below for the phase function (I,ϑ)↦H(I,ϑ;λ); its vector field differentiates only the phase variables. An angular parametrisation is a map ψ=(ψI,ψϑ) with ψI:Rn→Cn 2π-periodic and ψϑ:Rn→Cn satisfying ψϑ(ϑ+2πk)=ψϑ(ϑ)+2πk for all k∈Zn. Define the complex angular quotient TCn:=Cn/(2πZ)n by the relation z∼z′ if z−z′∈(2πZ)n, with its quotient topology and projection πC:Cn→TCn. Then ϑ↦(ψI(ϑ),πC(ψϑ(ϑ))) is periodic and induces a map ψ^:Tn→Cn×TCn. When both components are real-valued this instead induces ψ^:Tn→Rn×Tn using π on the angular component. The parametrisation is holomorphic on the strip Ss when both components extend holomorphically to Ss, and real analytic when in addition ψ(Rn)⊆R2n and the components are real analytic in the real variables. In the action-first order of ψ, the same field is XH=(−Hϑ,HI). It is faithful if ψ(ϑ)=ψ(ϑ′) implies ϑ−ϑ′∈(2πZ)n, and an immersion if it is C1 and Dψ(ϑ) has rank n for every ϑ∈Rn; a tuple that is both is an embedded torus parametrisation. Its image is Lagrangian (with respect to ω) if ψ is C1 and ψ∗ω=∑i=1nd(ψϑ)i∧d(ψI)i=0 as a two-form on the parameter space of the representative, and invariant with frequency ν if ψ is C1, lies in the domain of XH, and

XH(ψ(ϑ))=∑j=1nνj ∂ϑjψ(ϑ)for all real ϑ.

Remarks

  • Conventions. The torus is the 2π-periodic one, so eik⋅ϑ is 2π-periodic; the real restrictions of the symplectic form, Hamiltonian field and bracket are exactly the ϑ,I coordinate model of A phase domain, its canonical one-form and its standard symplectic two-form and The Hamiltonian field of a C2 function on a phase domain is J∇H, and the Poisson bracket is ∑i(∂qif ∂pig−∂pif ∂qig) for real C2 data. The complex bilinear extension is defined and checked above. The dimension hypothesis n≥2 used by the KAM theorems below is imposed there, not here.
  • Axiom of Countable Choice. The measure-theoretic frequency-set estimates in this batch use the Axiom of Countable Choice; analytic suppliers are used with their exact stated hypotheses, and no extra choice is required for the determined Newton iteration. The assumption is carried by the positive-measure theorem and its consumers (The Axiom of Countable Choice (ACω)).
  • Scope. Nothing here is a statement about a physical system: I,ϑ,ν are complex or real variables, and the "Hamiltonian" is a function whose Hamilton equations are an ODE system. In particular "frequency" means the vector ν in the invariance identity above, not a measured frequency.
  • Sup versus r,s,h. The norms ∣⋅∣r,s,h are finite only on bounded functions; every function considered below is bounded on its declared neighbourhood by hypothesis, and every estimate is an inequality between these suprema. The quadratic Taylor step and the Fourier estimates below use the margins between r,s,h and the smaller widths they produce.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods

Statement

Fix n≥1, r,s>0. Let g be of one of the following two types.

  • Joint-parameter type: h>0, Ω⊆Rn is nonempty, g:Br×Ss×Oh(Ω)→C is holomorphic, bounded, and 2π-periodic in ϑ.
  • Phase-only type: g:Br×Ss→C is holomorphic, bounded, and 2π-periodic in ϑ. In this case put M:=sup⁡Br×Ss∣g∣ and omit the variable ν and all parameter-derivative conclusions below.

In the joint-parameter case put M:=∣g∣r,s,h<∞. In either case, for 0<σ≤s each Fourier coefficient satisfies ∣gk(I,ν)∣≤Me−(s−σ)∣k∣1, where ν is omitted in the phase-only case. For 0<σ≤1 with 2σ<s, the Fourier series of g converges absolutely and uniformly on the full open product Br×Ss−2σ (and also on Br×Ss−2σ×Oh(Ω) in the joint-parameter case), and its sum is g. Every gk is holomorphic in its non-angle variables. The series and every series obtained by differentiating in I, ϑ, or (in the joint-parameter case) ν converge locally uniformly on the corresponding open product and may be differentiated termwise there.

For the joint-parameter type, and for all indicated indices, ∣∂Ijg∣r−δ,s,h≤Mδ(0<δ<r),∣∂ϑjg∣r,s−δ′,h≤Mδ′(0<δ′<s), ∣∂νjg∣r,s,h−δ′′≤Mδ′′(0<δ′′<h), ∣∂Ii∂Ijg∣r−δ,s,h≤2Mδ2,∣∂ϑi∂ϑjg∣r,s−δ′,h≤2Mδ′2,∣∂Ii∂ϑjg∣r−δ,s−δ′,h≤2Mδδ′. The same action and angle inequalities hold in the phase-only case with all parameter slots omitted. These estimates are on the stated smaller open domains; no uniform derivative convergence on the original open domain is asserted.

For every integer m≥1 and 0<σ≤1, #{k∈Zn:∣k∣1=m}≤4nmn−1,∑k∈Zne−σ∣k∣1≤Cnσ−n, ∑k≠0∣k∣1τe−σ∣k∣1≤Cn,τσ−(τ+n)(τ≥0),∑k≠0∣k∣1−τe−σ∣k∣1≤Cnσ−1(τ≥n−1). Here constants depend only on the displayed subscripts. For K≥0 and 0<σ≤1 with 2σ<s, the Fourier cutoff satisfies ∣g−TKg∣r,s−2σ,h≤Cnσ−ne−σKM in the joint-parameter case, with the analogous phase-only supremum bound. Products of bounded holomorphic functions on the same domain are holomorphic and obey the product sup-norm bound. A uniform limit on the full domain of holomorphic functions with norms at most M is holomorphic and has norm at most M.

Facts & Assumptions

Given: The dimension n, the domains and widths in one of the two cases of the Statement, and the bounded periodic holomorphic function g.

[F1]

In the joint case, holomorphy means continuity and separate holomorphy on Br×Ss×Oh(Ω); in the phase-only case it means the corresponding condition on Br×Ss. Such functions have local absolutely convergent power series (Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels, A continuous separately holomorphic function is the sum of an absolutely convergent power series with Cauchy-integral coefficients on every smaller polydisc, Directional derivatives and partial derivatives of a map U⊆Rm→Rn).

[F3]

If 0≤r0<R0<S0, f is holomorphic on D(a,S0) and ∣f∣≤M0 on ∣ζ−a∣=R0, then ∣f(q)(z)∣≤q!R0M0/(R0−r0)q+1 for ∣z−a∣≤r0 (Cauchy estimates on a smaller concentric disc).

[F4]

Locally uniform limits of holomorphic functions of one variable are holomorphic; a locally uniformly convergent series can be differentiated termwise. Continuous separately holomorphic functions of several variables are holomorphic and have local power-series expansions (Locally uniform limits of holomorphic functions are holomorphic and their derivatives converge locally uniformly, A locally uniformly convergent series of holomorphic functions may be differentiated term by term, A continuous separately holomorphic function is the sum of an absolutely convergent power series with Cauchy-integral coefficients on every smaller polydisc).

[F5]

For a continuous one-periodic function, its Fej'er means converge uniformly; consequently a continuous one-periodic function with all Fourier coefficients zero is zero (Fejer means converge uniformly for continuous periodic functions).

[F7]

If a holomorphic function on a connected open subset of Cn vanishes on a nonempty open subset, it vanishes identically (A holomorphic function vanishing on a nonempty open subset of a domain vanishes identically).

[F8]

For 0<σ≤1, ∑m∈Ze−σ∣m∣≤1+4/σ (For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges).

Proof

Proof technique: direct; shift the full Fourier integrand, use the Cauchy bounds on strict coordinate margins, and sum the lattice shells.

1.1F1F2F6givenalgebra

Fix all variables except one real angle ϑj and put fj(z)=g(I,ϑ1,…,z,…,ϑn,ν)e−ikjz, with the absent parameter omitted in the phase-only case. Since kj∈Z and g is 2π-periodic, fj is periodic and holomorphic for ∣Im⁡z∣<s. For 0<δ<s, shift the integration segment [0,2π] to [0,2π]−iδ sgn⁡(kj); the rectangle integral is zero by [F2], and the two vertical integrals cancel by periodicity. On the shifted segment ∣e−ikjz∣=e−δ∣kj∣, so the jth Fourier integral gains that factor. Applying this in each coordinate, using [F6], gives ∣gk(I,ν)∣≤Me−δ∣k∣1. For 0<σ<s take δ=s−σ; for σ=s the claimed bound is the trivial estimate ∣gk∣≤M.

1.2F8givenalgebra

The number of signed integer vectors with ∣k∣1=m is at most 2n times the number of nonnegative integer n-tuples with sum m. Choosing the first n−1 entries, each between 0 and m, gives at most 2n(m+1)n−1≤22n−1mn−1≤4nmn−1 vectors. Therefore ∑ke−σ∣k∣1=(∑q∈Ze−σ∣q∣)n≤Cnσ−n. For p=τ+n−1≥0, comparison on x∈[m−1,m] gives mpe−σm≤∫m−1m(x+1)pe−σx dx. Thus ∑m≥1mpe−σm≤σ−(p+1)∫0∞(y+1)pe−y dy, which is finite and proves the positive-power bound after applying the shell count. If τ≥n−1, then mn−1−τ≤1 and ∑m≥1e−σm=1/(eσ−1)≤1/σ; this proves the negative-power bound.

1.3F1F4givenalgebra

Products of local power series are local power series and satisfy the pointwise product bound. For a uniform limit on the full domain, continuity passes to the limit and every coordinate slice is a locally uniform limit of one-variable holomorphic functions; [F4] makes the limit separately holomorphic and hence holomorphic, while passing to the limit in the pointwise bound gives norm at most M.

2.1step 1.1F4F5F6F7algebra

For 0<σ≤1 and 2σ<s, the estimate of step 1.1 gives on Ss−2σ ∣gk(I,ν)eik⋅ϑ∣≤Me−σ∣k∣1. The product of one-dimensional geometric sums in [F8] is at most Cnσ−n; hence the Fourier series is absolutely and uniformly convergent on the full stated open product. Its sum is continuous and, by locally uniform convergence and [F4], holomorphic. For fixed non-angle variables, its Fourier coefficients are exactly gk, by uniform convergence and [F6]. The difference from g therefore has zero Fourier coefficients and vanishes on the real torus by [F5], applied successively in the n angle coordinates. At each real angle point all real derivatives of this difference vanish; holomorphicity identifies these with its complex Taylor coefficients, so its local power series is zero on a complex polydisc. The strip Ss−2σ is connected, so [F7] gives equality on the full complex strip. For joint-parameter data, the Fourier coefficient is holomorphic in (I,ν): its Riemann sums are holomorphic and converge uniformly on every compact subset of Br×Oh(Ω), so [F4] and separate holomorphy apply.

2.2step 1.1F3givenalgebra

The coordinate Cauchy estimate [F3] on a radius-δ disc about Ij gives the first action-derivative bound, and the same argument on the angle and parameter coordinates gives the other first-derivative bounds. For a second derivative in the same coordinate, [F3] with order 2 gives the factor 2; for distinct coordinates, use the iterated Cauchy formula on the product of their coordinate circles, obtaining M/(δiδj). This yields the stated action, angle, and mixed estimates on their strict smaller domains.

2.3step 1.1step 1.2F8algebra

Let K≥0 and choose the coefficient-shift margin δ=s−σ/2, which lies strictly between 0 and s. On Ss−2σ each discarded Fourier term is bounded by Me−3σ∣k∣1/2. For ∣k∣1>K, e−3σ∣k∣1/2≤e−σKe−σ∣k∣1/2; summing with [F8] and step 1.2 gives the stated truncation bound, after absorbing 2n into Cn.

3.1step 1.1step 1.2step 2.2F4algebra∎

On any compact subset of the smaller open product in clause 1 there are positive action, angle, and (in the joint case) parameter margins to the boundary of the original domain. Apply step 1.1 with a fixed strictly smaller strip width, then apply the coordinate Cauchy estimates of step 2.2 on those margins. Each differentiated Fourier term is bounded by a polynomial in ∣k∣1 times Me−δ∣k∣1 for some δ>0 depending on the compact set. The shell comparison of step 1.2 makes these bounds summable. The Weierstrass test therefore gives locally uniform convergence of each termwise-differentiated series, and [F4] identifies those sums with the corresponding derivatives.

Remarks

  • Why the contour shift needs only Goursat. The shifted contour is a rectangle in one coordinate at a time; the other coordinates are held fixed or have already been shifted, and the independence of the iterated integral from the order of integration is [F6]. No subharmonicity, elliptic regularity or several-variable Cauchy formula is used.
  • The loss is conservative. Clause 3's exponents are those of the direct estimates; the KAM items below use only τ>n−1 and the stated powers τ+n, so no sharper small-divisor bound is assumed. In particular the sharper dimension exponent of the classical theory is not claimed.
  • No choice. All suppliers cited in this item are formulated without the Axiom of Choice beyond what their own statements declare; the countable choice used elsewhere in the batch enters only through the measure-theoretic items.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

The linear homological equation ν⋅∂ϑu=v on a Diophantine label set, with uniform parameter bounds and conservative loss

Statement

Let n≥1, τ>n−1, α>0, and let Ωα,τ be the label set of Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels. Let r,s>0, K≥0, and suppose one of the following periodic, zero-mean data conditions holds.

  • (G) General case: for each real ν∈Ωα,τ, v(⋅,⋅,ν) is holomorphic on Br×Ss, with N:=sup⁡ν∈Ωα,τsup⁡I∈Br, ϑ∈Ss∣v(I,ϑ,ν)∣<∞. This is a family of phase-holomorphic functions; no holomorphy on a complex parameter neighbourhood is assumed.
  • (T) Truncated case: h>0, and v is jointly holomorphic on Dr,s,h(Ωα,τ), with N:=∣v∣r,s,h<∞ and vk=0 for ∣k∣1>K. If K>0, assume h≤α/(2Kτ+1). If K=0, the zero-mean datum is identically zero and no divisor restriction on h is needed.

Put α0:=α in (G) and α0:=α/2 in (T). In (G), for a family w of phase functions write ∥w∥a,bG:=sup⁡ν∈Ωα,τsup⁡I∈Ba, ϑ∈Sb∣w(I,ϑ,ν)∣; this is explicitly a supremum of phase-space suprema over real labels. In (T), norms retain the joint convention ∣⋅∣a,b,h.

For every parameter of the relevant case and every nonzero k in the Fourier support of v, ∣k⋅ν∣≥α0∣k∣1−τ. For nonzero k, define ak:=vk/(ik⋅ν) in (G), and for 0<∣k∣1≤K in (T); set ak:=0 for ∣k∣1>K in (T). The series u(I,ϑ,ν):=∑k∈Zn, k≠0ak(I,ν)eik⋅ϑ converges absolutely and uniformly on Br×Ss−2σ at every fixed label in (G), uniformly over those real labels, and on Dr,s−2σ,h(Ωα,τ) in (T), whenever 0<σ≤1 and 2σ<s. Its sum is phase-holomorphic at each label in (G), jointly holomorphic in (T), periodic, zero-mean, and satisfies ν⋅∂ϑu=v. Any two periodic holomorphic zero-mean solutions on a common such case domain agree there.

For every 0<σ≤1 with 4σ<s, every i,j∈{1,…,n}, and every 0<δ<r, the following bounds hold in the joint case (T): ∣u∣r,s−2σ,h≤Cn,τα0σ−(τ+n)N,∣∂ϑju∣r,s−3σ,h≤Cn,τα0σ−(τ+n+1)N, ∣∂Iju∣r−δ,s−2σ,h≤Cn,τα0 δσ−(τ+n)N,∣∂ϑi∂ϑju∣r,s−4σ,h≤Cn,τα0σ−(τ+n+2)N, ∣∂ϑi∂Iju∣r−δ,s−3σ,h≤Cn,τα0 δσ−(τ+n+1)N,∣∂Ii∂Iju∣r−δ,s−2σ,h≤Cn,τα0 δ2σ−(τ+n)N. In (G), the same six inequalities hold with each joint norm ∣w∣a,b,h replaced by the explicit supremum ∥w∥a,bG; thus no output bound is a norm on the empty set O0(Ωα,τ).

In (T), uk=0 for ∣k∣1>K; in particular u and its displayed derivatives have the same Fourier support as v.

Facts & Assumptions

Given: The dimension n, exponent τ>n−1, constant α>0, label set Ωα,τ, widths r,s and (in (T)) h>0, cutoff K, and the periodic zero-mean data of case (G) or (T), with the bound N defined in the corresponding case above.

[F1]

The definition of Dr,s,h, holomorphy, Fourier coefficients, angular mean, Fourier cutoff, and the (α,τ)-Diophantine condition ∣k⋅ν∣≥α∣k∣1−τ for every nonzero k (Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels).

[F2]

In (G), for each fixed label the phase Fourier series of v equals v on each smaller strip, its coefficients obey ∣vk∣≤Ne−(s−ρ)∣k∣1 for 0<ρ<s, and it can be differentiated termwise locally uniformly. In (T), the same assertions hold jointly on smaller action, angle and parameter domains (Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods clauses 1 and 2).

[F3]

The lattice sums include ∑k≠0∣k∣1τe−σ∣k∣1≤Cn,τσ−(τ+n) for 0<σ≤1, and the corresponding sums with one or two extra powers of ∣k∣1 (Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods clause 3).

Proof

Given: In (T), every quotient is formed only for retained modes 0<∣k∣1≤K; discarded coefficients are zero. In (G), each fixed parameter is a real Diophantine label and all nonzero modes are retained.

Proof technique: direct; estimate the divisors, sum the phase Fourier series, and use coordinate Cauchy estimates for its action derivatives.

1.1givenF1algebra

Small divisors. In (G), ∣k⋅ν∣≥α∣k∣1−τ for each [given, F1, algebra] real label and every nonzero mode. In (T), fix ν∈Oh(Ωα,τ) and a retained mode 0<∣k∣1≤K. There is a real label ν0 with ∣ν−ν0∣∞<h, so ∣k⋅ν∣≥α∣k∣1−τ−∣k∣1h≥(α/2)∣k∣1−τ, since h∣k∣1τ+1≤hKτ+1≤α/2. No discarded mode is divided by its divisor.

2.1step 1.1F2F3F4algebra

Convergence and holomorphy. Let 0<σ≤1 with 2σ<s. For [step 1.1, F2, F3, F4, algebra] each label in (G), and uniformly over those labels by the definition of N, or on the joint domain in (T), [F2] and step 1.1 give ∑k≠0∣vkik⋅νeik⋅ϑ∣≤Nα0∑k≠0∣k∣1τe−σ∣k∣1≤Cn,τα0σ−(τ+n)N by [F3]. Thus the series is absolutely and uniformly convergent on the specified phase strip (jointly in all variables in (T)); it is holomorphic in the phase variables in (G) and jointly holomorphic in (T), by [F4]. Each term has zero angular mean, hence [u]=0. Taking the appropriate supremum gives the first bound in clause 2, using ∥⋅∥G in (G).

3.1step 2.1F2F3F4algebra

The equation and angular derivatives. On every strictly smaller strip, [step 2.1, F2, F3, F4, algebra] the differentiated series is locally uniformly convergent by [F2] and [F3]. Termwise differentiation yields ∂ϑju=∑k≠0vkkjk⋅νeik⋅ϑ,ν⋅∂ϑu=∑k≠0vkeik⋅ϑ=v−[v]=v, where the last equality follows from [F2]. The extra factor ∣kj∣≤∣k∣1 and the two angle margins in clause 2 give the stated one- and two-angle bounds using [F3].

3.2step 1.1step 2.1F2F3algebra

Action derivatives. By [F2], vk is holomorphic in the action on Br [step 1.1, step 2.1, F2, F3, algebra] and ∣vk∣≤Ne−(s−ρ)∣k∣1. The coordinate Cauchy estimates of Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods clause 2, with action margin δ, give on Br−δ ∣∂Ijvk∣≤Nδe−(s−ρ)∣k∣1,∣∂Ii∂Ijvk∣≤2Nδ2e−(s−ρ)∣k∣1. These estimates are pointwise at every label in (G), uniformly by N, and jointly on the smaller parameter domain in (T). Division by the divisor and summation using [F3] prove the action and mixed action-angle bounds in clause 2, with the explicit label supremum in (G). The locally uniform convergence also justifies termwise differentiation.

3.3givenstep 2.1algebra

Truncation. In (T), vk=0 for ∣k∣1>K and the solution coefficient [given, step 2.1, algebra] is defined to be zero there, so every displayed derivative has support in ∣k∣1≤K.

4.1step 1.1step 2.1step 3.1F2algebra∎

Uniqueness. For a fixed real label in (G), Fourier coefficients of any [step 1.1, step 2.1, step 3.1, F2, algebra] zero-mean phase-holomorphic solution w obey (ik⋅ν)wk=vk for every nonzero mode, so every coefficient agrees with u. In (T), the same comparison applies on the open complex parameter domain. For retained modes, equality follows from step 1.1. For a discarded mode, vk=0 and (k⋅ν)wk=0; away from the hyperplane k⋅ν=0, wk=0, and continuity extends this across that hyperplane because its complement is dense in each open ball. The zero coefficient vanishes by the zero-mean condition. Fourier uniqueness from [F2] gives equality on the common domain in either case.

Remarks

  • What "truncated" refers to. Case (T) is the situation in the KAM step: the unknown is solved only for the Fourier-truncated data, and the parameter margin h has to be small enough that the Diophantine bound survives on the complex parameter neighbourhood, at the price of replacing α by α/2. No loss in α occurs in the parameter-free case (G).
  • Conservatism. The exponents are exactly those proved by summing the lattice shells; the number τ+n+2 appearing in the second derivatives is the largest loss used downstream, and no sharper small-divisor theorem is invoked.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Affine Taylor splitting in the actions and conservative Fourier truncation of a small perturbation

Statement

Let n≥1, r>0, s>0, h>0, let Ω⊆Rn, let K≥0, 0<η≤1/4, 0<σ≤min⁡(1,s/4), and let P be holomorphic and 2π-periodic in each angular coordinate on Dr,s,h(Ω) with ∣P∣r,s,h≤ε (Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels). Define the affine action-Taylor polynomial

Q(I,ϑ,ν):=P(0,ϑ,ν)+∑j=1n∂IjP(0,ϑ,ν) Ij,

and the truncated perturbation R:=TKQ (Fourier cutoff in ϑ). Then:

  1. Taylor remainder. ∣P−Q∣2ηr,s,h≤Cη2ε with a constant C=C(n).
  2. Affine structure. Q and R are holomorphic on Dr,s,h(Ω) and affine in I: R(I,ϑ,ν)=R0(ϑ,ν)+∑j=1nRj(ϑ,ν)Ij with R0,Rj trigonometric polynomials in ϑ of degree at most K; [R]=[Q] is affine in I, and R−[R] is zero-mean.
  3. Size bounds. ∣Q∣r,s,h≤(n+1)ε and ∣R∣r,s−2σ,h≤Cnσ−nε,max⁡j∣Rj∣r,s−2σ,h≤Cnσ−nε/r,∣∂ϑiR∣r,s−2σ,h≤Cnσ−n−1ε.
  4. Truncation error. ∣Q−R∣r,s−2σ,h≤Cnσ−ne−σK/2ε.

Facts & Assumptions

Given: The dimension n, the widths r,s,h, the set Ω, the cutoff K, the margins η,σ, and the holomorphic perturbation P with ∣P∣r,s,h≤ε.

[F1]

Definitions of the domain, holomorphy, sup-norms, Fourier coefficients, angular mean and cutoff TK (Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels). The perturbation P is 2π-periodic in each angular coordinate, so its Fourier coefficients and cutoff are those of a function on Tn.

[F2]

Cauchy bounds and truncation on the Fourier side: from Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods clause 2, for 0<δ<r and 0<δ′<s one has ∣∂IjP∣r−δ,s,h≤ε/δ, ∣∂ϑjP∣r,s−δ′,h≤ε/δ′, ∣∂Ii∂IjP∣r−δ,s,h≤2ε/δ2, ∣∂Ii∂ϑjP∣r−δ,s−δ′,h≤2ε/(δδ′); and from clause 4, for 0<τ≤1 with 2τ<s, ∣Q−TKQ∣r,s−2τ,h≤Cnτ−ne−τK∣Q∣r,s,h.

[F3]

Segment fundamental theorem and chain rule: for fixed ϑ,ν the curve u(t):=P(tI,ϑ,ν) is differentiable on [0,1] with u′(t)=DIP(tI,ϑ,ν)⋅I, and u(1)−u(0)=∫01u′(t) dt; the derivative bound ∣DIP(tI)−DIP(0)∣≤sup⁡∣J∣∞≤2ηr∣DI2P(J,ϑ,ν)∣⋅∣tI∣ holds by the fundamental theorem applied to each component of DIP along the segment (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a), Directional derivatives and partial derivatives of a map U⊆Rm→Rn, Intervals of R: the nine order-convex forms, nondegeneracy, and length, Open ball, closed ball and sphere in a metric space).

Proof

Proof technique: direct; expand P in the action variable along the segment tI, bound the quadratic remainder by Cauchy estimates, and truncate the Fourier series of Q with the exponential tail bound.

1.1F1given

Structure of Q and R. Q is defined from the holomorphic functions P(0,⋅,⋅) and ∂IjP(0,⋅,⋅), which are holomorphic on Br×Ss×Oh; hence Q is holomorphic there and affine in I. Its Fourier coefficients in ϑ are those of P(0,⋅) and ∂IjP(0,⋅); the cutoff R=TKQ is the corresponding finite trigonometric polynomial, again holomorphic and affine in I, with R0=TK(P(0,⋅)) and Rj the truncated coefficients, so [R]=[Q] and R−[R] is zero-mean. This is clause 2.

1.2F2givenalgebra

Bounds for Q. By [F2] with radii increasing to r, at the centre I=0 one has ∣P(0,ϑ,ν)∣≤ε and ∣∂IjP(0,ϑ,ν)∣≤ε/r; hence on ∣I∣∞<r ∣Q(I,ϑ,ν)∣≤ε+∑j=1nεr ∣Ij∣≤(n+1)ε.

2.1step 1.2F2F3algebra

Taylor remainder. Fix (I,ϑ,ν) with ∣I∣∞<2ηr. By [F3], P(I)−Q(I)=∫01(DIP(tI)−DIP(0))⋅I dt; for ∣J∣∞≤2ηr≤r/2 [F2] with δ=r/2 gives ∣DI2P(J)∣≤2ε/(r/2)2=8ε/r2 (maximum over the coordinate second derivatives), so for every t∈[0,1], ∣DIP(tI)−DIP(0)∣≤n∣tI∣∞sup⁡∣J∣∞≤2ηr∣DI2P(J)∣≤2nηr⋅8εr2=16nηεr. Therefore ∣P−Q∣≤sup⁡t∣DIP(tI)−DIP(0)∣1 ∣I∣∞≤n⋅16nηε/r⋅2ηr=32n2 η2ε, which is clause 1 with C=32n2.

2.2step 1.2F1F2algebra

Size bounds for R. By step 1.2 and [F1], each coefficient qk of Q satisfies ∣qk(I,ν)∣≤∣Q∣r,s,he−(s−σ)∣k∣1 (the decay of Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods clause 1 with the margin σ≤s). Hence, on Br×Ss−2σ×Oh, ∣R∣≤∑∣k∣1≤K∣qk∣e(s−2σ)∣k∣1≤∣Q∣r,s,h∑∣k∣1≤Ke−σ∣k∣1≤(n+1)ε Cnσ−n, by clause 3 of Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods, which is the first bound of clause 3. For Rj: Rj is the cutoff of ∂IjP(0,⋅,⋅), whose coefficients are bounded by (ε/r)e−(s−σ)∣k∣1 by [F2] and the same decay; the identical summation gives max⁡j∣Rj∣r,s−2σ,h≤Cnσ−nε/r. For ∂ϑiR: by [F2] with δ′=σ and δ=r/2, ∣∂ϑiP(0,⋅,⋅)∣≤ε/σ and ∣∂ϑi∂IjP(0,⋅,⋅)∣≤4ε/(rσ); hence ∣∂ϑiQ∣≤ε/σ+n⋅4ε/(rσ)⋅r≤(1+4n)ε/σ on Br×Ss−σ×Oh, and the cutoff of this (holomorphic, affine-in-I) function on the smaller strip is bounded by Cnσ−n⋅(1+4n)ε/σ, which is the third bound of clause 3.

3.1step 1.2F2algebra∎

Truncation error. Applying [F2]'s truncation estimate to Q with τ=σ≤min⁡(s/2,1) and the bound ∣Q∣r,s,h≤(n+1)ε of step 1.2 gives ∣Q−R∣r,s−2σ,h≤Cnσ−ne−σK(n+1)ε, which is clause 4 after enlarging the constant; note e−σK≤e−σK/2, so the displayed form with e−σK/2 holds as well.

Remarks

  • Why affine in I. The variable Q omits all Taylor terms of order ≥2 in I; the remainder is quadratic in the scaled radius 2ηr, which is exactly what makes the KAM step quadratically convergent.
  • Why truncate. R has finitely many Fourier modes, so its homological equation is solved with uniformly bounded divisors on the complex parameter ball; the discarded tail is exponentially small in Kσ and is part of the new perturbation, not an error term.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound

Statement

Let n≥1, τ>n−1, α>0, and let Ωα,τ be the label set of Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels. Put μ:=τ+3n+2. Suppose 0<r≤1, s,h>0, K≥1, 0<σ≤1, 8σ<s, 0<η≤1/8, and

h≤α2Kτ+1,Kσ≥1,η≤σ.

Let P be holomorphic and 2π-periodic in the angles on Dr,s,h(Ωα,τ), real-valued on real points, with ∣P∣r,s,h≤ε. Set

E:=εαrσμ,E≤cη,

where c=c(n,τ)>0 is sufficiently small. All constants C below depend only on n,τ. Define the affine Taylor polynomial Q and R=TKQ by Affine Taylor splitting in the actions and conservative Fourier truncation of a small perturbation, and put R^=[R], N=ν⋅I. Let F be the zero-mean solution, with Fourier support ∣k∣1≤K, of

ν⋅∂ϑF=R−R^

from The linear homological equation ν⋅∂ϑu=v on a Diophantine label set, with uniform parameter bounds and conservative loss. Order phase coordinates as (I,ϑ), so XF=(−Fϑ,FI), ω=∑idϑi∧dIi, and {f,g}=fϑ⋅gI−fI⋅gϑ. Put W=diag⁡(r−1In,σ−1In). Then:

  1. Generator. F is holomorphic on Dr,s−2σ,h, affine in I, and FI is independent of I. It satisfies {F,N}+R^=R and r−1∣Fϑ∣3r/4,s−6σ,h+σ−1∣FI∣3r/4,s−6σ,h≤CEσn+1,∣W(DXF)W−1∣3r/4,s−6σ,h≤CEσn+1.
  2. Flow. For 0≤t≤1, the flow Φt is defined and holomorphic on Dr/2,s−8σ,h, with Φt:Dr/2,s−8σ,h⟶D3r/4,s−7σ,h. Here parameters are held fixed; DΦt denotes the derivative in (I,ϑ). The map is affine in I, its angle component is independent of I, and it obeys Φt(I,ϑ+2πk,ν)=Φt(I,ϑ,ν)+(0,2πk). It is canonical, and real on real points. Uniformly in t, ∣W(Φt−id)∣r/2,s−8σ,h≤CE,∣W(DΦt−id)W−1∣r/2,s−8σ,h≤CE, h∣W∂νjΦt∣r/2,s−8σ,h/2≤CE(1≤j≤n). In addition, the small action domain has the inclusion Φt(Dηr,s−8σ,h)⊆D2ηr,s−7σ,h.
  3. Remainder. For Φ=Φ1 and χt=(1−t)R^+tR, the identity (N+P)∘Φ=N+R^+P+,P+=(P−R)∘Φ+∫01{χt,F}∘Φt dt holds on Dr/2,s−8σ,h, and on the smaller action domain ∣P+∣ηr,s−8σ,h≤C[E+η2+σ−ne−σK/2]ε.
  4. Frequency shift. Write R^(I,ν)=a(ν)+v(ν)⋅I. Then v is holomorphic on Oh(Ωα,τ), real on real points, and ∣v∣Oh≤B:=Cεr=CαEσμ,∣Dv∣Oh/2≤2nBh.

Facts & Assumptions

Given: The parameters, periodic real holomorphic perturbation, widths, cutoff, and smallness conditions of the Statement. Suppressed label sets in all domains are Ωα,τ; vector norms are maximum norms and operator norms are the induced row-sum norms.

[F2]

The Taylor and cutoff supplier Affine Taylor splitting in the actions and conservative Fourier truncation of a small perturbation gives [R]=[Q], ∣P−Q∣2ηr,s,h≤Cη2ε, ∣R∣r,s−2σ,h≤Cσ−nε, ∣RI∣r,s−2σ,h≤Cσ−nε/r, ∣Rϑ∣r,s−2σ,h≤Cσ−n−1ε, and ∣Q−R∣r,s−2σ,h≤Cσ−ne−σK/2ε.

[F3]

The truncated homological supplier The linear homological equation ν⋅∂ϑu=v on a Diophantine label set, with uniform parameter bounds and conservative loss solves each nonzero mode by division by ik⋅ν, whose modulus is at least (α/2)∣k∣1−τ for ∣k∣1≤K on Oh. For zero-mean data of norm M on Dr,u,h, its bounds with angle margin σ are ∣F∣r,u−2σ,h≤CM/(αστ+n), ∣Fϑ∣r,u−3σ,h≤CM/(αστ+n+1), and ∣Fϑϑ∣r,u−4σ,h≤CM/(αστ+n+2). An action derivative costs the reciprocal action margin, independently of the angle margin.

[F5]

Hamiltonian flows preserve the symplectic form (Hamiltonian flows preserve the symplectic form). The chain rule along a trajectory is The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a); with the convention of [F1], ddt(g∘Φt)={g,F}∘Φt.

[F6]

Write each complex coordinate as zj=xj+iyj and define ∂zj:=(∂xj−i∂yj)/2 and ∂zˉj:=(∂xj+i∂yj)/2, acting componentwise on a C1 map through its realification. Its real differential is df=∑j(∂zjf) dzj+∑j(∂zˉjf) dzˉj; if all conjugate-coordinate derivatives vanish, this differential is complex linear on each coordinate slice, so those slices are holomorphic. Continuity then gives holomorphy in the stated joint sense (Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions, Complex m-space and its real coordinate dictionary). Smooth dependence and uniqueness for the linear variational equation in [F4] can be used to establish this for a holomorphic vector field.

Proof

technique · direct; estimate the affine generator in the scaled phase norm, construct its flow on nested domains, and integrate the exact Hamiltonian identity
1.1F1F2F3algebra

Generator and domains. The datum R−R^ is affine, zero-mean, and has norm at most Cσ−nε on Dr,s−2σ,h. Its Fourier sum is finite and its supported divisors never vanish, so F is holomorphic even on Dr,s−2σ,h, is affine in I, and satisfies the equation there. Apply [F3] with u=s−2σ and action margin r/4. On the appropriate nested domains this gives ∣Fϑ∣≤Cεα−1σ−(τ+2n+1), ∣FI∣≤Cε(αr)−1σ−(τ+2n), ∣Fϑϑ∣≤Cεα−1σ−(τ+2n+2), and ∣FIϑ∣≤Cε(αr)−1σ−(τ+2n+1). In particular, all four bounds hold on D3r/4,s−6σ,h. Since FII=0, the blocks of W(DXF)W−1 are −FϑI, −(σ/r)Fϑϑ, zero, and FIϑ. Substitution of E and μ bounds each nonzero block by CEσn+1 and also gives ∣WXF∣≤CEσn+1. The defining equation is precisely {F,N}=R−R^.

2.1step 1.1F4givenalgebra

Existence through time one. Set U=B3r/4×Ss−6σ. Fix ν∈Oh and an initial point in Br/2×Ss−8σ. In the norm ∣Wz∣∞, its distance to the action boundary of U is at least 1/4 and to the angle boundary at least 2. Step 1.1 gives field and Lipschitz bounds M,L≤CEσn+1 there. Choose c so that CE≤1/8. While a solution remains in U, integration gives ∣W(Φt−z)∣≤Mt for t≤1. It therefore cannot approach the boundary before time one. To justify continuation without a compact domain assumption, a putative finite endpoint has a limit because the velocity is bounded; the limit has the same positive boundary margins, and local existence there extends the trajectory, contradicting maximality. Thus Φt exists for 0≤t≤1, has ∣It∣<3r/4 and ∣Im⁡ϑt∣<s−7σ, and its weighted displacement is at most CE. For initial ∣I∣<ηr, the sharper component estimate gives ∣It−I∣≤CErσn+1≤ηr/2, after decreasing c using E≤cη. Consequently all these trajectories lie in B2ηr×Ss−7σ.

3.1step 1.1step 2.1F4algebra

Phase derivatives. Apply the local smooth-dependence result in [F4] on short time intervals in Euclidean balls with closure inside the phase domain. Each trajectory on [0,1] is compact and stays inside that open domain by step 2.1, so finitely many such intervals suffice; the flow composition law transfers their C1 dependence to the entire trajectory. Smooth dependence then gives At=DΦt with A0=id and At′=DXF(Φt)At. Thus A~t=WAtW−1 solves A~t′=(WDXFW−1)(Φt)A~t. Gronwall gives ∣A~t∣≤eLt and, by integrating the equation, ∣A~t−id∣≤eLt−1≤CE for t≤1. These are the asserted phase derivative bounds uniformly over all initial points and parameters.

3.2step 1.1step 2.1F4F6algebra

Holomorphy and affine structure. Treat the parameter as additional state with equation ν′=0. This extended field is holomorphic, so differentiating its real C1 flow with respect to any conjugate initial coordinate gives a homogeneous complex linear variational equation with zero initial value; all conjugate-coordinate derivatives vanish by uniqueness. Hence [F6] gives holomorphy in both phase and parameter variables. Since F is affine in I, the equation ϑ′=FI(ϑ,ν) is independent of I. With this angle trajectory fixed, I′=−Fϑ(I,ϑt,ν) is a linear inhomogeneous equation in I, so its solution depends affinely on the initial action. This proves the stated structure.

3.3step 1.1step 2.1F5algebra

Exact transformed identity. For a fixed initial point set G(t)=(N+χt)∘Φt, where χt=R^+t(R−R^). Using [F5] and {N,F}=−(R−R^), one obtains G′(t)=(R−R^+{N,F}+{χt,F})∘Φt={χt,F}∘Φt. The endpoint values are G(0)=N+R^ and G(1)=(N+R)∘Φ. Integrating and then adding (P−R)∘Φ proves the exact identity in clause 3 on the full time-one domain.

4.1step 1.1step 2.1step 3.1F1F4algebra

Parameter derivatives. If ν∈Oh/2, every coordinate disc of radius h/2 about ν lies in Oh: this follows directly from the triangle inequality for distance to the label set. Cauchy's estimate [F1], applied to each component of WXF on the same phase domain, therefore gives ∣W∂νjXF∣≤CE/h. The derivative bt=∂νjΦt solves bt′=DXF(Φt)bt+∂νjXF(Φt), b0=0, by [F4]. Multiplying by W and using the bounds already proved, Gronwall gives ∣Wbt∣≤(CE/h)eL for t≤1, which is the required estimate after increasing C.

4.2step 1.1step 3.1step 3.2F1F4F5algebra

Periodicity, reality, and canonicity. The Fourier polynomial F is periodic, and consequently XF(I,ϑ+2πk,ν)=XF(I,ϑ,ν). Translating a trajectory by (0,2πk) and invoking uniqueness proves equivariance. On real points the data satisfy R−k=Rk‾ and the real frequencies give F−k=Fk‾; hence F and its field are real there, and uniqueness preserves reality. By [F5] the real flow is canonical. The same symplectic identity holds on the complex domain directly: in the constant matrix representing ω, the Hamiltonian Jacobian satisfies (DXF)TJ+JDXF=0, by symmetry of the Hessian of F; differentiating (DΦt)TJ(DΦt) using step 3.1 therefore gives zero derivative and initial value J. This proves canonicity throughout the complex domain as well.

4.3step 1.1step 2.1step 3.3F1F2algebra

Remainder on the shrinking action domain. On Dηr,s−8σ,h the trajectories lie in D2ηr,s−7σ,h by step 2.1. Thus [F2] gives ∣(P−R)∘Φ∣≤C[η2+σ−ne−σK/2]ε. Moreover, on every trajectory, ∣Rϑ∣≤Cσ−n−1ε, ∣RI∣≤Cσ−nε/r, and ∣R^I∣≤Cε/r because [R]=[Q] and each action-Taylor coefficient at zero is bounded by ε/r by Cauchy. Since R^ϑ=0, these imply ∣χt,ϑ∣≤Cσ−n−1ε and ∣χt,I∣≤Cσ−nε/r. Step 1.1 gives ∣FI∣≤CEσn+2 and ∣Fϑ∣≤CErσn+1. Therefore ∣{χt,F}∣≤∣χt,ϑ∣1∣FI∣∞+∣χt,I∣1∣Fϑ∣∞≤CEεσ≤CEε. Integrating this bound in the identity of step 3.3 proves clause 3.

5.1F1F2algebra∎

Mean frequency shift. Since the cutoff preserves the zero Fourier mode, R^=[Q]; hence vj=[∂IjP(0,⋅,ν)]. Cauchy's estimate at the centre of Br gives ∣∂IjP(0,ϑ,ν)∣≤ε/r (take radii tending upward to r), and taking a real angular mean does not increase this bound. Thus ∣v∣≤Cε/r=B on Oh, without a Fourier-loss factor. The mean is holomorphic in ν and real on real points. On Oh/2, coordinate Cauchy estimates with radius h/2 bound each entry of Dv by 2B/h; the induced maximum-norm operator bound is consequently 2nB/h. Finally ε/r=αEσμ by definition. This proves clause 4 and completes the step.

Remarks

The flow and exact transformed identity hold on the half-radius domain. The Taylor remainder of order η2 holds on the shrinking domain of radius ηr, using its flow image of radius at most 2ηr. The additional smallness E≤cη supplies this action inclusion. The frequency shift has the action-derivative scale ε/r, which is the bound used when inverting ν↦ν+v(ν) in the parameter step.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Elimination of the frequency shift by a holomorphic contraction retraction

Statement

Let n≥1, h>0, let Ω⊆Rn, and let v:Oh(Ω)→Cn be holomorphic with ∣v∣Oh(Ω)≤B where 0≤B≤h16n. Then:

  1. Existence and uniqueness. For every ν+∈Oh/4(Ω) there is exactly one ν∈Oh/2(Ω) with ν+v(ν)=ν+. The assignment ϕ(ν+):=ν defines a map ϕ:Oh/4(Ω)→Oh/2(Ω) with ∣ϕ(ν+)−ν+∣∞≤B for every ν+.
  2. Holomorphy. ϕ is holomorphic on Oh/4(Ω).
  3. Derivative bounds. With Dϕ the complex Jacobian and the row-sum norm, for every ν+∈Oh/4(Ω) ∥Dϕ(ν+)−In∥≤16n7 Bh,equivalentlyh ∥Dϕ(ν+)−In∥≤16n7B.

Facts & Assumptions

Given: The dimension n, the parameter width h>0, the set Ω⊆Rn, and the holomorphic vector field v with ∣v∣Oh(Ω)≤B and 0≤B≤h/(16n).

[F2]

Cauchy bound in the parameter variable: if u is holomorphic and ∣u∣≤M on Oh(Ω), then ∣∂νju∣≤M/δ on Oh−δ(Ω) for every 0<δ<h (Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods clause 2, with the ν-variable in place of the action variable).

[F3]

The complex Euclidean dictionary makes Cn complete in its Euclidean metric (Complex m-space and its real coordinate dictionary). For every z∈Cn, ∣z∣∞≤∣z∣2≤n ∣z∣∞, so a sequence is Cauchy or convergent in the supremum metric exactly when it is Cauchy or convergent in the Euclidean metric; hence Cn is complete in the supremum metric as well. The set K:={ν:∣ν−ν+∣∞≤2B} is closed: if ν∉K, the reverse triangle inequality gives a positive-radius supremum ball about ν disjoint from K (The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement). Thus K is complete by the closed-subspace direction of Closed subspaces of complete metric spaces are complete; the converse under countable choice clause 2. This argument includes B=0, when K={ν+}; compactness is not needed.

[F5]

On an open subset of C, a locally uniform limit of scalar holomorphic functions is holomorphic (Locally uniform limits of holomorphic functions are holomorphic and their derivatives converge locally uniformly). A continuous separately holomorphic scalar function on a complex polydisc has a local absolutely convergent power-series expansion (A continuous separately holomorphic function is the sum of an absolutely convergent power series with Cauchy-integral coefficients on every smaller polydisc). Apply these statements to each coordinate slice and each scalar component, respectively; the several-variable statement requires continuity as well as slice holomorphy.

[F6]

Operator norm and the inverse bound: for the row-sum norm ∥M∥=max⁡i∑j∣Mij∣ one has ∥MN∥≤∥M∥ ∥N∥ and ∥In∥=1 (The operator norm as the least bound and as the unit-sphere or unit-ball supremum); if ∥M∥≤1/2 then In+M is invertible with ∥(In+M)−1∥≤1/(1−∥M∥) and ∥(In+M)−1−In∥≤∥M∥/(1−∥M∥), because (In+M)−1=∑k≥0(−M)k converges in the operator norm.

[F7]

If ui:[0,1]→C is differentiable as a map of real variables, apply the one-variable mean-value inequality to its realification [0,1]→R2 to obtain ∣ui(1)−ui(0)∣≤sup⁡t∈[0,1]∣ui′(t)∣; the derivative of a composition with a line segment is given by the chain rule (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The mean value inequality: if f:[a,b]→Rm is continuous and differentiable on (a,b) with ∥f′∥2≤M, then ∥f(b)−f(a)∥2≤M(b−a), Complex m-space and its real coordinate dictionary).

Proof

technique · direct; solve the frequency equation by the contraction principle on the closed supremum-metric set of points at distance at most $2B$ from $\nu_+$, prove holomorphy from the uniformly convergent iteration, and differentiate the defining identity to bound the Jacobian
1.1F1givenalgebra

The closed set lies inside the parameter domain. Fix ν+∈Oh/4(Ω) and put K:={ν∈Cn:∣ν−ν+∣∞≤2B}, which is nonempty also when B=0. Every ν∈K satisfies dist⁡∞(ν,Ω)≤dist⁡∞(ν+,Ω)+2B<h/4+2⋅h/(16n)≤h/4+h/8<h/2, so K⊆Oh/2(Ω)⊆Oh(Ω).

2.1step 1.1F2F7algebra

The map and its contraction property. Define T(ν):=ν+−v(ν) on K. For ν∈K, ∣T(ν)−ν+∣=∣v(ν)∣≤B≤2B, so T(K)⊆K. For ν,ν′∈K, the segment between them lies in K⊆Oh/2. By [F2], each entry of Dv has modulus at most 2B/h there. Along the segment, the derivative of each realified complex component of v is therefore bounded by (2B/h)∑j∣νj−νj′∣≤(2nB/h)∣ν−ν′∣∞. Applying [F7] componentwise gives ∣v(ν)−v(ν′)∣∞≤(2nB/h)∣ν−ν′∣∞≤18∣ν−ν′∣∞, because B≤h/(16n). Thus T:K→K is a contraction with factor 1/8.

3.1step 2.1F3F4algebra

Fixed point. K is complete by [F3], so [F4] gives exactly one ν∈K with T(ν)=ν, i.e. ν+v(ν)=ν+, and then ∣ν−ν+∣=∣v(ν)∣≤B. If ν1,ν2∈Oh/2(Ω) both satisfy νi+v(νi)=ν+, then each lies in K because ∣νi−ν+∣=∣v(νi)∣≤B≤2B; their connecting segment lies in the convex ball K, so ∣ν1−ν2∣=∣v(ν2)−v(ν1)∣≤(1/8)∣ν1−ν2∣ by the same estimate of step 2.1, hence ν1=ν2. This proves the uniqueness assertion of clause 1 and defines ϕ.

4.1step 1.1step 2.1step 3.1F1F5algebra

Holomorphy. On the open set U:=Oh/4(Ω) define f0(x):=x and fk+1(x):=x−v(fk(x)). Steps 1.1 and 2.1 keep every fk(x) in the ball Kx:={z:∣z−x∣∞≤2B}⊆Oh/2(Ω), so induction and holomorphic composition make each fk:U→Cn holomorphic. The increments satisfy ∣fk(x)−fk−1(x)∣∞≤8−(k−1)B for k≥1, uniformly in x, hence fk→ϕ uniformly on U by step 3.1. Each scalar component of ϕ is continuous: at a point, approximate it uniformly by a continuous component of fk within one third of a prescribed tolerance, and use continuity of that component for the remaining third. On any coordinate disc contained in U, the corresponding scalar components converge uniformly and are one-variable holomorphic, so the one-variable part of [F5] makes the limit holomorphic on that slice. Thus every component of ϕ is continuous and separately holomorphic; the polydisc part of [F5], applied on a polydisc about each point of U, gives its local power-series expansion. This proves clause 2, including B=0 when every iterate is the identity; if U is empty the assertion is vacuous.

5.1step 2.1step 4.1F2F6algebra∎

Derivative bound. Differentiating the identity ϕ(ν+)+v(ϕ(ν+))=ν+ with respect to ν+ (both sides holomorphic in ν+ on Oh/4) gives (In+Dv(ϕ(ν+)))Dϕ(ν+)=In, and ∥Dv(ϕ(ν+))∥≤2nB/h≤1/8 by step 2.1, so [F6] gives ∥Dϕ(ν+)−In∥=∥(In+Dv∘ϕ)−1−In∥≤∥Dv∘ϕ∥1−∥Dv∘ϕ∥≤2nB/h7/8=16n7Bh. This is clause 3.

Remarks

  • Why 2B and h/(16n). The radius 2B is what makes the range of T stay in the ball while keeping the ball inside Oh/2; the smallness B≤h/(16n) makes the row-sum Lipschitz constant at most 1/8, so the inverse bound costs the factor 8/7.
  • Uniformity. The constant in clause 3 is explicit and independent of ν+; this is exactly the smallness later used to compare the perturbed frequency parametrisation with the unperturbed one.
LemmaStatement: AI-adaptedProof: AI-adaptedOpen item page →

The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses

Statement

Let n≥2, τ>n−1, μ:=τ+3n+2, α>0, s0>0, and let C≥1 bound the constants in One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound and Elimination of the frequency shift by a holomorphic contraction retraction. Let c=c(n,τ)∈(0,1] be the one-step smallness constant, and fix C∗≥3C2μ. Put q:=4−(μ+1),D:=max⁡(16nC4μ,1/c). Fix 0<σ0≤min⁡(1,s0/32), 0<r0≤1, K0≥1, and h0,E0>0 satisfying:

  1. E0≤min⁡(c2,c,σ02,1/64,q2/C∗2);
  2. with A:=C∗2E0 and L:=∣log⁡A∣+nlog⁡(1/σ0)+2log⁡C∗+nlog⁡2+1, one has K0σ0≥max⁡(1,2L);
  3. DαE0σ0μ≤h0≤min⁡(1,α/(2K0τ+1)).

Define for all integers j≥0 σj:=σ02−j,Kj:=K04j,hj:=h04−μj,sj:=s0−8∑i<jσi, Ej+1:=C∗Ej3/2,ηj:=Ej,rj+1:=ηjrj,εj:=αEjrjσjμ,Bj:=Cεj/rj. Then every j≥0 satisfies:

(a) 0<rj≤1, 0<σj≤min⁡(1,sj/8), Kjσj≥1, 0<hj≤1, sj≥s0/2, sj−8σj≥s0/2, and 0<ηj≤min⁡(1/8,σj); (b) Ej≤cηj, Ej+1≤qEj, and Ej≤qjE0≤4−jE0; (c) εj≤cαηjrjσjμ and εj≤chjrj; (d) hj≤α/(2Kjτ+1) and hj+1≤hj/4; (e) σj−ne−Kjσj/2≤Ej; (f) Bj=CαEjσjμ≤hj+1/(16n), so the frequency contraction applies with B=Bj; moreover Ejhj+1≤4μE0h04−j,Bjhj+1≤C4μαE0σ0μh02−(μ+2)j; (g) all the following sums converge: ∑j≥0(rj+σj)Ej≤4(r0+σ0)E0,∑j≥0Ej≤2E0,∑j≥02jEj≤2E0,∑j≥0εjrjhj≤43αE0σ0μh0. The recurrence has precisely the perturbation budget εj+1=C∗2−μEjεj≥3CEjεj. Consequently the one-step remainder estimate ∣Pj+∣≤C[Ej+ηj2+σj−ne−Kjσj/2]εj on the retained action and angle domain closes with ∣Pj+1∣≤εj+1 after frequency retraction. For fixed n,τ,c,C,C∗,σ0 the initial conditions are simultaneously satisfiable for all sufficiently small E0 and every fixed α>0; for 0<α≤1 the allowed threshold for E0 can be chosen independently of α.

Facts & Assumptions

Given: The data, constants, initial conditions and sequences in the Statement.

[F1]

The one-step hypotheses and estimates of One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound with E=ε/(αrσμ), margins η,σ, and frequency shift bounded by Cε/r. The mean frequency shift has no Fourier-loss factor: [R]=[Q] and each component is the angular mean of ∂IiP(0,ϑ,ν), bounded by ε/r by Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods.

[F2]

If a holomorphic frequency shift on Oh is bounded by B≤h/(16n), Elimination of the frequency shift by a holomorphic contraction retraction gives ϕ:Oh/4→Oh/2 satisfying ϕ(ν)+v(ϕ(ν))=ν, ∣ϕ−id∣≤B, and h∥Dϕ−In∥≤(16n/7)B.

[F4]

For every integer m≥0, tme−t→0 as t→+∞ (The exponential dominates every fixed nonnegative integer power at +∞).

Proof

technique · direct; verify the recurrence, domain margins, cutoff and parameter estimates, and then check the initial interval
1.1givenalgebra

Since C∗E0≤q<1, induction gives Ej+1/Ej=C∗Ej≤q and Ej≤qjE0. Thus Ej≤c, ηj≤1/8, and ηj/σj≤(E0/σ0)(2q)j≤1. This proves (b) and the assertions about ηj in (a). Also induction directly gives Ej=A(3/2)j/C∗2, so log⁡Ej=−(3/2)j∣log⁡A∣−2log⁡C∗ because 0<A≤q2<1.

2.1step 1.1F3givenalgebra

The action radii decrease because ηj≤1/8, and σj≤σ0≤1. Further, Kjσj=K0σ02j≥1 and hj≤h0≤1. By the geometric series, ∑i<jσi=2σ0(1−2−j), whence sj=s0−16σ0+16σj and sj−8σj=s0−16σ0+8σj≥s0/2. Since σj≤σ0≤s0/32≤sj/8, all remaining assertions of (a) follow.

2.2step 1.1givenalgebra

The inequality Ej≤cηj gives the first bound in (c). For the other bound, divide by hjrj: εj/(hjrj)=αEjσ0μ4μj2−μj/h0≤(αE0σ0μ/h0)2−(μ+2)j≤1/D≤c, using Ej≤4−(μ+1)jE0 and condition 3. Thus (c) holds at every step.

2.3step 1.1F2givenalgebra

Since μ>τ+1, condition 3 yields hj≤[α/(2K0τ+1)]4−μj≤α/(2K0τ+14(τ+1)j)=α/(2Kjτ+1), and hj+1/hj=4−μ≤1/4. Moreover Ej/hj+1≤4μ(E0/h0)4−j, and hence Bj/hj+1≤(C4μαE0σ0μ/h0)2−(μ+2)j≤1/(16n) by D≥16nC4μ. This proves (d) and (f). In particular [F2] applies on Ohj+1⊆Ohj/4, and its image lies in Ohj/2.

2.4step 1.1F3givenalgebra

Put a:=∣log⁡A∣ and b:=nlog⁡(1/σ0)+2log⁡C∗. All these quantities are nonnegative. Condition 2 and [F3] give Kjσj/2≥L 2j≥a(3/2)j+b+njlog⁡2+1, using separately 2j≥(3/2)j, 2j≥1 and 2j≥j. Therefore log⁡(σj−ne−Kjσj/2)≤nlog⁡(1/σ0)+njlog⁡2−a(3/2)j−b−njlog⁡2−1=log⁡Ej−1. Exponentiation proves (e).

3.1step 1.1step 2.1step 2.2F3algebra

Since rj+σj≤r0+σ0, the first sum in (g) is at most (r0+σ0)E0∑j4−j≤4(r0+σ0)E0. Also ∑jEj≤(4/3)E0≤2E0 and ∑j2jEj≤E0∑j2−j=2E0. Step 2.2 gives ∑jεj/(rjhj)≤(αE0σ0μ/h0)∑j2−(μ+2)j≤(4/3)αE0σ0μ/h0. These establish (g) without any assumption relating r0 to σ0.

3.2step 2.3step 2.4F1F2givenalgebra

The definitions give εj+1/εj=(Ej+1/Ej)(rj+1/rj)(σj+1/σj)μ=C∗EjEj2−μ=C∗2−μEj≥3CEj. By (e) and ηj2=Ej, the remainder bound of [F1] is at most 3CEjεj≤εj+1. Retraction only evaluates this holomorphic remainder on its parameter subdomain by step 2.3 and [F2], so it cannot increase its sup-norm. The retained widths are rj+1=ηjrj and sj+1=sj−8σj.

4.1step 1.1step 3.2F4givenchoosealgebra∎

To check feasibility, choose K0=⌈max⁡(1,2L)/σ0⌉ and h0=min⁡(1,α/(2K0τ+1)). As E0↓0, this cutoff is bounded by a constant times 1+∣log⁡E0∣, so 2DE0σ0μK0τ+1→0. For completeness, with t=∣log⁡E0∣, choose an integer m>τ+1; for t≥1, (1+t)τ+1≤2τ+1tm, so [F4] implies e−t(1+t)τ+1→0. Thus for all sufficiently small E0 one has DE0σ0μ≤1/(2K0τ+1), and, for each fixed α, also DαE0σ0μ≤1. These are exactly the two inequalities needed for condition 3 with the chosen h0. If α≤1, the second follows already from the first since K0≥1; all thresholds are then independent of α. Conditions 1 and 2 hold by further decreasing E0 and by the cutoff choice. This proves simultaneous feasibility and completes the lemma.

Remarks

The lower parameter width is proportional to the actual frequency shift ε0/r0=αE0σ0μ. Replacing it by a multiple of E0 would prevent a uniform ε≤cα2 application as α↓0. The faster decrease of hj preserves the finite-cutoff Diophantine bound; the still faster decrease of Ej makes parameter derivatives summable. The angular loss of 8σj agrees with the retained domain of the local one-step construction.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds

Statement

Use the sequences and hypotheses of The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses, with n≥2, μ=τ+3n+2, σ0≤s0/32, hj=h04−μj and Ej≤E04−(μ+1)j. The step constants may be enlarged and their smallness constant decreased, depending only on n,τ. Put Λ:=Ωα,τ and Wj:=diag⁡(rj−1In,σj−1In).

Let H0(z,ν)=e0(ν)+ν⋅I+P0(z,ν) be holomorphic and real on real points on Dr0,s0,h0(Λ), with ∣P0∣≤ε0. Suppose at every stage the cited one-step suppliers produce the following data:

  1. A canonical, 2π-equivariant holomorphic phase map Φ~j on Drj/2,sj−8σj,hj(Λ) with the weighted estimates of One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound, affine in I and with angle component independent of I.
  2. A frequency shift vj with ∣vj∣≤Bj:=Cεj/rj=CαEjσjμ, and its inverse ϕj supplied by Elimination of the frequency shift by a holomorphic contraction retraction on Ohj/4(Λ), satisfying ϕj+vj∘ϕj=id, ∣ϕj−id∣≤Bj and ∥Dϕj−In∥≤(16n/7)Bj/hj.
  3. The exact transformed identity Hj(Φ~j(z,ϕj(ν)),ϕj(ν))=ej+1(ν)+ν⋅I+Pj+1(z,ν)=:Hj+1(z,ν), where ∣Pj+1∣≤εj+1 on Drj+1,sj+1,hj+1(Λ).

Define the extended step and composition by Tj(z,ν):=(Φ~j(z,ϕj(ν)),ϕj(ν)),T0∘⋯∘Tj−1(z,ν)=(Ψj(z,ν),χj(ν)), with (Ψ0,χ0)=(id,id). Thus parameter changes in every earlier factor are included. Set Dj:=Brj/2×Ssj−8σj×Ohj+1(Λ),L:={0}×Ss0/4×Λ. There are constants A,CL depending only on n,τ such that:

  1. Tj(Dj+1)⊆Dj; all extended compositions are holomorphic on Dj, take values in D0, and are equivariant in the angles. They are canonical in the phase variables for each real parameter. Every Dj contains L.
  2. On L, Ψj converges uniformly, together with every angular derivative, to Ψ∞, holomorphic in the angles for each label. Writing ΔjΨ:=Ψj+1−Ψj, one has ∣W0ΔjΨ∣≤AEj2−j,∣W0∂ϑiΔjΨ∣≤AEj2−j/σ0.
  3. For every pair ν,ν′∈Λ, sup⁡ϑ∈Ss0/4∣W0(ΔjΨ(0,ϑ,ν)−ΔjΨ(0,ϑ,ν′))∣≤CL(E0/h0)2−j∣ν−ν′∣. Consequently the phase limit has weighted frequency-Lipschitz constant 2CLE0/h0. In the unweighted norm the corresponding bound is 2CL(r0+σ0)E0/h0.
  4. Writing Ψ∞(0,ϑ,ν)=(b(ϑ,ν),ϑ+w(ϑ,ν)), the bounds are ∣b∣≤Ar0E0,∣w∣≤Aσ0E0,∣∂ϑib∣≤Ar0E0/σ0,∣∂ϑiw∣≤AE0. One may impose nAE0≤1/2 by decreasing the initial smallness constant.
  5. The parameter maps converge uniformly on Λ to χ∞, with ∣χ∞−id∣≤AB0 and Lip⁡(χ∞−id)≤CLB0/h0. The exact finite-stage normal form is H0(Ψj(z,ν),χj(ν))=ej(ν)+ν⋅I+Pj(z,ν),∣Pj∣≤εjon Dj.

Facts & Assumptions

Given: The sequence hypotheses, the Hamiltonian family and the specified one-step data.

[F1]

The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses gives ηj≤1/8, ηj≤σj, sj≥s0/2, Bj≤hj+1/(16n), hj+1≤hj/4, and Ej≤E0qj, where q=4−(μ+1). In particular rj/r0≤2−j, σj/σ0=2−j and rj/σj≤r0/σ0.

[F2]

One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound supplies ∣Wj(Φ~j−id)∣≤CEj, ∥Wj(DzΦ~j−I)Wj−1∥≤CEj and ∣Wj∂νΦ~j∣≤CEj/hj on Ohj/2, with dimensional constants absorbed into C. Its phase Jacobian is block upper triangular. Elimination of the frequency shift by a holomorphic contraction retraction supplies the inverse bounds in the statement.

Proof

technique · direct; retain the parameter coordinate, use triangular weighted Jacobians, and estimate holomorphic increments on parameter tubes before passing to their label restrictions
1.1givenF1F2algebra

Domain inclusions. On Dj+1 the step moves actions by at most CrjEj, angles by at most CσjEj and parameters by at most Bj. Take the step smallness so that CEj≤1/8. Then rj+1/2+CrjEj≤rj/16+rj/8<rj/2. The angular loss sj−sj+1 is at least 5σj, so sj+1−8σj+1+CσjEj≤sj−9σj+σj/8<sj−8σj. Moreover hj+2+Bj≤hj+1/4+hj+1/(16n)<hj+1. These inequalities also put the input to ϕj in Ohj/4 and its image in Ohj/2. Thus Tj(Dj+1)⊆Dj, and induction defines the extended composition on Dj with image in D0. The exact sequence formula for sj gives sj−8σj≥s0−24σ0≥s0/4, and in fact for the sequence with loss 8σj it gives sj−8σj≥s0−16σ0≥s0/2. Hence the common larger angular strip St, t:=s0/4+2σ0, lies in every Dj at I=0. Equivariance and fixed-parameter canonicity follow by composition; real parameters remain real by the stated real one-step construction.

2.1step 1.1F1F2F3algebra

Phase Jacobians in a fixed weight. Because the phase Jacobians are upper triangular in (I,ϑ), conjugating their error matrices from Wj to W0 leaves diagonal blocks unchanged, multiplies the upper right block by (rj/σj)/(r0/σ0)≤1, and leaves the lower left block zero. Thus ∥W0(DzTj−I)W0−1∥≤CEj. The parameter block satisfies ∥Dϕj∥≤1+(16n/7)Bj/hj. Their products are bounded by exp⁡(C∑Ej) and exp⁡((16n/7)∑Bj/hj) respectively. Here ∑Ej≤2E0 and ∑Bj/hj≤2B0/h0, since Bj/hj=(B0/h0)(Ej/E0)2μj≤(B0/h0)4−j. Decrease the initial smallness so the phase product is at most 2; the parameter product is already at most exp⁡(2/(7⋅4μ))<2, since B0/h0≤(16n4μ)−1. The chain rule therefore gives ∥W0DzΨjW0−1∥≤2 and ∥Dχj∥≤2.

3.1step 2.1F1F2F3algebra

The parameter block of the phase composition. The single-step phase-parameter block in the fixed weight is bounded by CEj2−j/hj, because ∥W0Wj−1∥≤2−j and ∥Dϕj∥≤2. Expanding the parameter block of the product of block triangular extended Jacobians yields one term for each step, with a phase product on its left and a parameter product on its right. Step 2.1 bounds these products by 2, so ∥W0∂νΨj∥≤4C∑k<jEk2−k/hk≤AE0/h0. The last inequality follows from Ek/hk≤(E0/h0)4−k. The same product expansion for Dχj−I gives ∥Dχj−I∥≤AB0/h0. All bounds hold throughout the respective Dj; earlier factors are evaluated at the parameter images established in step 1.1.

4.1step 1.1step 2.1step 3.1F1F3algebra

Holomorphic increments. For (0,ϑ,ν) with ϑ∈St, ν∈Ohj+2(Λ), the straight segment from this point to Tj(0,ϑ,ν) lies in Dj. For the parameter segment this follows by choosing a label within hj+2 of ν: its entire segment stays within hj+2+Bj<hj+1 of that label. The action and angle segments stay inside their convex domains by step 1.1, with the same stronger margins on St. Integrating the derivatives of Ψj along this segment and using steps 2.1-3.1 gives ∣W0ΔjΨ∣≤2CEj2−j+A(E0/h0)Bj≤AEj2−j. Indeed (E0/h0)Bj=(B0/h0)Ej2−μj and B0/h0 is bounded by a dimensional small constant. This estimates both changes of phase and changes of the parameter fed into every earlier factor. Likewise ∣χj+1−χj∣≤2Bj on this parameter tube. Cauchy's estimate with angular margin σ0 gives the displayed first derivative bound on Ss0/4 and, for every multi-index β, the bound ∣W0∂ϑβΔjΨ∣≤Aβ!σ0−∣β∣Ej2−j.

5.1step 4.1F1F3algebra

Frequency Lipschitz bounds without convexity of the label set. A holomorphic function f bounded by M on Oa(Λ) has ∣f(ν)−f(ν′)∣≤4n(M/a)∣ν−ν′∣ for labels ν,ν′. If ∣ν−ν′∣<a/2, their segment stays within a/2 of ν∈Λ, and Cauchy bounds on coordinate discs of radius a/2 give the derivative bound 2nM/a there. If their distance is at least a/2, use ∣f(ν)−f(ν′)∣≤2M. Apply this argument to the weighted phase increment of step 4.1 with a=hj+2. Since Ej2−j/hj+2≤42μ(E0/h0)4−j2−j, it proves clause 3 with a dimensional CL. Apply it also to χj+1−χj, bounded by 2Bj on the same tube. The bound Bj/hj+2≤42μ(B0/h0)4−j makes its Lipschitz series summable. This argument uses no segment contained in Λ and therefore applies to disconnected Diophantine label sets.

6.1step 4.1step 5.1F1F3algebra

Limits and sizes. The bounds of step 4.1 are summable for every fixed angular multi-index, uniformly on L. Their series therefore define Ψ∞, with uniform convergence of all angular derivatives. For each label, holomorphic convergence on St and Cauchy differentiation prove holomorphy and identify these derivative limits with derivatives of Ψ∞. Summing the component bounds gives clause 4 after enlarging A; decreasing the initial smallness gives nAE0≤1/2. The identity phase map has zero parameter derivative, so summing step 5.1 gives clause 3 for the limit. The parameter increments have summable sizes 2Bj and summable Lipschitz constants, yielding χ∞, its displacement bound and its asserted Lipschitz bound relative to the identity.

7.1givenstep 1.1algebra∎

Exact invariance data. By the stated one-step identity, Hj∘Tj=Hj+1. Induction on the extended compositions gives H0(Ψj(z,ν),χj(ν))=Hj(z,ν)=ej(ν)+ν⋅I+Pj(z,ν) on Dj. The perturbation bound holds there because Dj⊆Drj,sj,hj(Λ). The parameter coordinate is essential: for a parameter-dependent H0 the Hamiltonian transported by the phase map at stage j is H0(⋅,χj(ν)). This proves clause 5.

Remarks

The estimates are in a fixed initial weight and retain both action and angle scales. No inequality r0≤σ0 is assumed. Frequency reparametrisation is part of the composition, so the eventual invariant torus has label frequency ν for the Hamiltonian with original parameter χ∞(ν).

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

The parameter KAM limit: invariant quasi-periodic motion with frequency ν and Lagrangian images

Statement

Assume all the data, constants and hypotheses of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds (in particular the sequences of The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses, the initial perturbation P0 with ∣P0∣≤ε0 and the one-step construction at every stage), and assume in addition that the fixed data satisfy CE0≤1/16, where C bounds both the composition constant A and the one-step constant of One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound (a smallness condition on the constants, available in the applications by shrinking the step constant). Let Ψ∞ be the limiting family of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds, let H(I,ϑ,ν):=e(ν)+ν⋅I+P0(I,ϑ,ν) be the parameter Hamiltonian whose perturbing term is P0, and let ω=∑i=1ndϑi∧dIi. Then for every ν∈Ωα,τ:

  1. Invariance. For every real ϑ in the strip, XH(Ψ∞(0,ϑ,ν);χ∞(ν))=∑j=1nνj ∂ϑjΨ∞(0,ϑ,ν), and the identity extends to the complex strip ∣Im ϑ∣∞<s0/4 by holomorphy of both sides. Here the second argument of XH records the original family parameter after all frequency retractions; the desired rotation frequency remains the target label ν.
  2. Quasi-periodic motion. For every ϑ0∈Rn the curve s↦Ψ∞(0,ϑ0+sν,ν) is an integral curve of the autonomous vector field XH( ⋅ ;χ∞(ν)) wherever it is defined; that is, ddsΨ∞(0,ϑ0+sν,ν)=XH(Ψ∞(0,ϑ0+sν,ν);χ∞(ν)).
  3. Lagrangian images. For every ν the pullback of ω along the real slice of ϑ↦Ψ∞(0,ϑ,ν) vanishes: Ψ∞( ⋅ ,ν)∗ω=0on the real slice, i.e.∑i=1nd(Ψ∞)iϑ∧d(Ψ∞)iI=0.

Facts & Assumptions

Given: The sequences and constants of The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses, the initial perturbation P0, the one-step construction, the limit family Ψ∞, and the Hamiltonian H of the statement, with CE0≤1/16.

[F1]

The conclusions of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds: Ψj→Ψ∞ uniformly on L={0}×Ss0/4×Ωα,τ with all ϑ-derivatives; χj→χ∞ uniformly with ∣χ∞−id∣≤AB0 in the original parameter domain, and each Ψj is holomorphic on Dj, canonical on real points, and Tj(Dj+1)⊆Dj, Ψj(Dj)⊆D0; H(Ψj(I,ϑ,ν);χj(ν))=ej(ν)+ν⋅I+Pj(I,ϑ,ν) with ∣Pj∣≤εj; and the size bounds ∣b∣≤2Cr0E0, ∣w∣≤2Cσ0E0, ∣∂ϑiw∣≤2CE0, ∣∂ϑib∣≤Cr0E0/σ0 of clause 4, where Ψ∞(0,ϑ,ν)=(b(ϑ,ν),ϑ+w(ϑ,ν)).

[F2]

Hamiltonian calculus: with the convention Xh=Jact∇h=(−hϑ,hI) with Jact:=(0−InIn0) in the action-first order (I,ϑ) for ω=∑jdϑj∧dIj one has Xf+g=Xf+Xg and Xν⋅I=(0,ν) (The Hamiltonian field of a C2 function on a phase domain is J∇H, and the Poisson bracket is ∑i(∂qif ∂pig−∂pif ∂qig), A phase domain, its canonical one-form and its standard symplectic two-form); if C:U→V is a C2 canonical diffeomorphism of phase domains and H∈C2(V), then DC(z)XH∘C(z)=XH(C(z)) (A C1 map between phase domains preserves the standard two-form iff DCTJ DC=J, and a canonical diffeomorphism carries XH∘C to XH clause 3); the chain rule is The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a).

[F4]

Cauchy bounds for the retained perturbations: since Pj is holomorphic on Drj,sj,hj(Ωα,τ) with ∣Pj∣≤εj, the estimates of Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods clause 2 with action margin rj/2 and angle margin 8σj give, on Dj=Brj/2×Ssj−8σj×Ohj+1, ∣∂IiPj∣≤2εj/rj and ∣∂ϑiPj∣≤εj/(8σj) for all i; hence ∣WjXPj∣∞≤max⁡(rj−1∣∂ϑPj∣∞, σj−1∣∂IPj∣∞)≤2εj/(rjσj), where Wj=diag⁡(rj−1In,σj−1In) and ∣v∣(W0):=∣W0v∣∞ (One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound, The operator norm as the least bound and as the unit-sphere or unit-ball supremum, Open ball, closed ball and sphere in a metric space).

[F5]

The one-step weighted bound and the contraction factors: on Brj/2×Ssj−8σj×Ohj one has ∥Wj(DΦj−I2n)Wj−1∥≤CEj (One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound clause 2, part of the one-step construction), and ηj≤1/2, rj+1=ηjrj, σj+1=σj/2 (The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses clauses (a) and (b) and its definitions); moreover CEj≤CE0≤1.

[F6]

Identity theorem for several complex variables and connectivity: Ss0/4 is convex, hence path-connected and connected (Every convex subset of Rn, in particular every ball and Rn itself, is path-connected and hence connected, Every path-connected space is connected, and every path component lies inside a component, Complex m-space and its real coordinate dictionary); if f is holomorphic on a nonempty connected open U⊆Cn and vanishes on a nonempty open subset of U, then f≡0 on U (A holomorphic function vanishing on a nonempty open subset of a domain vanishes identically); and a holomorphic function has a local power-series expansion at every point of its domain.

Proof

technique · direct; transport the finite-step normal forms through the limit using the vanishing weighted Cauchy residuals and the convergence of the composed maps
1.1givenF1F2algebra

Finite-step residual. Fix j≥0 and ν∈Ωα,τ. By [F1], on the real points of Dj one has H(Ψj(I,ϑ,ν);χj(ν))=ej(ν)+ν⋅I+Pj(I,ϑ,ν) with Ψj canonical in the phase variables for each fixed target ν. Define Hj∗(z):=H(z;χj(ν)); since χj does not depend on z, the ordinary phase transport identity applies, so the transport identity of [F2] applied to Ψj gives DΨj XHj∗∘Ψj=XH(Ψj;χj(ν)); by [F2] and linearity of the gradient, XHj∗∘Ψj=Xej+ν⋅I+XPj=(0,ν)+XPj; hence XH(Ψj;χj(ν))−DΨj(0,ν)=DΨjXPj on the real points of Dj.

1.2F1F5algebra

Weighted phase Jacobian product bound. For xj=(z,ν)∈Dj, recursively put xi=(zi,λi):=Ti(xi+1) for i=j−1,…,0, with Ti the extended maps of [F1]'s composition supplier; thus xi∈Di and λi=ϕi(λi+1). Parameters are independent of the input phase, so DzΨj=M0⋯Mj−1, where Mi:=DzΦ~i(zi+1,λi). The supplier's domain inclusions put these evaluations in [F5]'s one-step domain. Since WiWi+1−1=diag⁡(ηiIn,12In), ∥WiMiWi+1−1∥≤(1+CEi)/2≤1. Insert adjacent weights in the product to obtain ∥W0DzΨjWj−1∥≤1, including the identity product at j=0.

2.1step 1.1step 1.2F1F4algebra

The transported residual tends to zero. By [F4] and step 1.2, on the real points of Dj, ∣XH(Ψj;χj(ν))−DΨj(0,ν)∣(W0)=∣DΨjXPj∣(W0)≤∥W0DΨjWj−1∥ ∣WjXPj∣≤2εjrjσj=2αEjσjμ−1, and by [F1] Ej≤4−jE0 while σj=σ02−j, so 2αEjσjμ−1≤2αE0σ0μ−14−j2−(μ−1)j→0 as j→∞.

3.1step 2.1F1F2F3algebra

Passing to the limit. By [F3] the maps Ψj and their first ϑ-derivatives converge uniformly on L to those of Ψ∞, and χj→χ∞ uniformly with the phase-parameter images in the original domain by [F1]. Since XH is continuous there, XH(Ψj;χj(ν))→XH(Ψ∞;χ∞(ν)) and DΨj(0,ν)=∑kνk∂ϑkΨj→∑kνk∂ϑkΨ∞ for each fixed label and real angle, while XH(Ψj;χj(ν))−DΨj(0,ν)=DΨjXPj→0 in the W0-norm by step 2.1; therefore XH(Ψ∞(0,ϑ,ν);χ∞(ν))=∑kνk∂ϑkΨ∞(0,ϑ,ν) at every real ϑ, which is the real-slice part of clause 1.

4.1step 3.1F1F3F6algebra

Extension to the complex strip. Both sides of the identity of step 3.1 are holomorphic in ϑ on Ss0/4 for fixed ν: the right side by [F3], and the left side because H is holomorphic on the open domain and Ψ∞ maps {0}×Ss0/4×Ωα,τ into its interior (by [F1]'s size bounds and CE0≤1/16, ∣b∣≤2Cr0E0≤r0/8 and ∣w∣≤2Cσ0E0≤σ0/8); their difference f vanishes on Rn, so at every real ϑ0 all mixed complex derivatives of f vanish (induction on the order: ∂ϑif is holomorphic and vanishes on the real slice, since the difference quotient is taken along real directions), the power series of f at ϑ0 has all coefficients zero, and f=0 on a polydisc around ϑ0; [F6] applied to the connected open set Ss0/4 gives f≡0 there. This proves the extension assertion of clause 1.

4.2step 3.1F2F3algebra

Quasi-periodic motion. By [F3] the map ϑ↦Ψ∞(0,ϑ,ν) is holomorphic, hence C1 on the real slice, and the chain rule gives ddsΨ∞(0,ϑ0+sν,ν)=∑jνj∂ϑjΨ∞(0,ϑ0+sν,ν), which equals XH(Ψ∞(0,ϑ0+sν,ν);χ∞(ν)) by the real-slice identity of step 3.1; this is clause 2.

5.1F1F2F3algebra∎

Lagrangian images. The unperturbed parametrisation ι0(ϑ):=(0,ϑ) satisfies ι0∗ω=0 because each term dϑi∧dIi pulls back to zero along I≡0; each Ψj is canonical on real points by [F1], so (Ψj∘ι0)∗ω=ι0∗Ψj∗ω=0; the maps Ψj∘ι0 and their first ϑ-derivatives converge uniformly to Ψ∞∘ι0 and its derivatives on the real slice by [F3], so the coefficient functions of the pullback two-forms converge and the limit pullback Ψ∞( ⋅ ,ν)∗ω vanishes; this is clause 3.

Remarks

  • Canonicity in the limit. Only canonicity of the individual maps on real points is used; the limit identity is a closed statement about Ψ∞ and needs no differentiable structure beyond the C1 convergence supplied by the composed-map item.
  • No dynamical assertion beyond the identity. Clause 2 says that the image torus is invariant with frequency ν; it does not assert stability in any sense, the survival of resonant tori, or that these are all invariant tori.
  • The extra smallness CE0≤1/16. It is used only to keep the weighted Jacobian product below 1 (step 1.2) and the limiting image inside the open domain of H (step 4.1); shrinking the step constant of the one-step estimates preserves every other conclusion and only lowers the final smallness threshold.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

The KAM limit parametrisation is an embedding of the torus: injectivity modulo 2π, rank-n differential and Lipschitz inverse

Statement

Assume the data, constants, sequences, one-step construction and notation of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds, the conjugacy symmetry of Conjugation symmetry of the KAM construction: real perturbations produce real tori (so that the initial perturbation is conjugation-symmetric), and assume in addition that the fixed data satisfy 4nCE0≤1, where C bounds both the one-step constant and the composition constant A; this is a smallness condition on the fixed constants, available in the applications by shrinking the step constant. Let Ψ∞(0,ϑ,ν)=(b(ϑ,ν),ϑ+w(ϑ,ν)) be the limiting family of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds and Θν(ϑ):=ϑ+w(ϑ,ν) its angle component. Then for every ν∈Ωα,τ:

  1. Contraction and injectivity. For all real ϑ,ϑ′, ∣w(ϑ,ν)−w(ϑ′,ν)∣1≤12∣ϑ−ϑ′∣1,∣Θν(ϑ)−Θν(ϑ′)∣1≥12∣ϑ−ϑ′∣1; in particular Θν is injective on Rn and Ψ∞(0,ϑ,ν)=Ψ∞(0,ϑ′,ν) with real ϑ,ϑ′ forces ϑ=ϑ′.
  2. Descent to the torus. Ψ∞(0,ϑ+2πk,ν)=Ψ∞(0,ϑ,ν)+(0,2πk) for every k∈Zn; consequently the parametrisation induces a well-defined continuous injective map Ψ^ν:Tn⟶Rn×Tn,Ψ^ν∘π=Π∘Ψ∞(0, ⋅ ,ν), where π:Rn→Tn is the quotient map and Π reads the angle coordinates modulo 2π.
  3. Immersion. At every real ϑ the differential DϑΨ∞(0,ϑ,ν) has rank n; equivalently In+∂ϑw(ϑ,ν) is invertible.
  4. Embedding with Lipschitz inverse. Define dTn(πϑ,πϑ′):=min⁡k∈Zn∣ϑ−ϑ′−2πk∣∞ and dphase((p,πϑ),(p′,πϑ′)):=max⁡{∣p−p′∣∞,dTn(πϑ,πϑ′)}. Then the inverse of Ψ^ν on its image is Lipschitz with constant 2n, and Ψ^ν is a homeomorphism of Tn onto its image; in particular the image is an embedded n-dimensional torus in the phase space, and it is real (clause 3 of Conjugation symmetry of the KAM construction: real perturbations produce real tori).
  5. Dynamical reading. The image of Ψ^ν is invariant under XH( ⋅ ;χ∞(ν)) with frequency ν and Lagrangian, in the sense of clauses 1-3 of The parameter KAM limit: invariant quasi-periodic motion with frequency ν and Lagrangian images.

Facts & Assumptions

Given: The data, constants and one-step construction of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds, a conjugation-symmetric initial perturbation, the limit family Ψ∞=(b,id+w) and the smallness 4nCE0≤1.

[F1]

The conclusions of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds: Ψj→Ψ∞ uniformly on L together with all ϑ-derivatives; each Ψj is 2π-equivariant in ϑ, Ψj(I,ϑ+2πk,ν)=Ψj(I,ϑ,ν)+(0,2πk) for all k∈Zn and all points of Dj (clause 1); and the size bounds ∣b∣≤2Cr0E0, ∣w∣≤2Cσ0E0, ∣∂ϑiw∣≤2CE0 on Ss0/4×Ωα,τ (clause 4).

[F2]

For real ϑ,ν, each component wj is real by [F6]. The curve t↦wj(ϑ+t(ϑ′−ϑ),ν) is differentiable by the chain rule, with derivative ∑i(∂ϑiwj)(ϑ+t(ϑ′−ϑ),ν)(ϑi′−ϑi). The one-variable mean-value inequality therefore bounds its change by the supremum of this derivative on the segment (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The mean value inequality: if f:[a,b]→Rm is continuous and differentiable on (a,b) with ∥f′∥2≤M, then ∥f(b)−f(a)∥2≤M(b−a)).

[F3]

For representatives ϑ,ϑ′, the minimum in dTn(πϑ,πϑ′)=min⁡k∈Zn∣ϑ−ϑ′−2πk∣∞ is attained by choosing a nearest integer in each coordinate. The formula is independent of representatives, is zero exactly for equivalent representatives, is symmetric, and satisfies the triangle inequality by combining minimizing lattice shifts; hence it is a metric. Its radius-r ball is π(B∞(ϑ,r)). The quotient topology makes this ball open: π−1(π(V))=⋃k∈Zn(V+2πk) is open for every open V. Conversely, any quotient-open neighbourhood lifts to an open neighbourhood of a representative and hence contains such a ball, so the quotient topology is the metric topology of dTn. The phase space carries the product topology (Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels, The quotient topology of a surjection, quotient maps, saturated sets, and the quotient of a space by an equivalence relation with its canonical projection, The product set ∏i∈IXi of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space, Continuity of a map of topological spaces at a point and globally, Open ball, closed ball and sphere in a metric space).

[F4]

Elementary linear algebra: if A∈Mn(C) satisfies ∣Av∣1≤12∣v∣1 for all v∈Cn, then In+A is injective, since (In+A)v=0 gives ∣v∣1=∣Av∣1≤12∣v∣1.

[F5]

Pointwise canonical calculus (A C1 map between phase domains preserves the standard two-form iff DCTJ DC=J, and a canonical diffeomorphism carries XH∘C to XH clause 1 and its transport calculation): in action-first order put Ja:=(0−InIn0), so Xf=Ja∇f=(−fϑ,fI) for ω=∑jdϑj∧dIj. For a canonical phase map with Jacobian M, MTJaM=Ja. This makes M invertible and implies MJaMT=Ja by inversion, since Ja−1=−Ja. The chain rule then gives MXH∘C=XH∘C pointwise. This calculation requires only the canonical Jacobian, not a globally defined inverse. The limiting dynamical identities will be proved locally below; the additional smallness in The parameter KAM limit: invariant quasi-periodic motion with frequency ν and Lagrangian images is not assumed.

[F6]

Reality: for real ϑ,ν the point Ψ∞(0,ϑ,ν) is real (Conjugation symmetry of the KAM construction: real perturbations produce real tori clause 3).

[F7]

Put Wj:=diag⁡(rj−1In,σj−1In) and use the induced maximum-norm operator norm ∥M∥=max⁡a∑b∣Mab∣ (The operator norm as the least bound and as the unit-sphere or unit-ball supremum). It satisfies ∣Mv∣∞≤∥M∥∣v∣∞ and ∥MN∥≤∥M∥∥N∥ by taking the supremum over ∣v∣∞≤1. The one-step construction has ∥Wj(DzΦ~j−I2n)Wj−1∥≤CEj on its declared domain (One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound clause 2). The sequences give rj+1=ηjrj, ηj≤1/8, σj+1=σj/2, Ej≤4−jE0, and hj+1=hj4−μ (The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses), where μ=τ+3n+2>1.

[F8]

At every stage Pj is holomorphic on Drj,sj,hj(Λ) and bounded there by εj=αEjrjσjμ, as stipulated in the one-step data of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds. Coordinate Cauchy estimates with action margin rj/2 and angular margin 8σj give ∣∂IiPj∣≤2εj/rj and ∣∂ϑiPj∣≤εj/(8σj) on Dj (Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods). Thus ∣WjXPj∣∞≤2εj/(rjσj) there.

Proof

technique · direct; bound the angle error from the derivative bound, descend to the torus by equivariance, and control the inverse through the contraction estimate
1.1givenF1F2F6algebra

Contraction and injectivity. By [F1] each partial derivative obeys ∣∂ϑiwj∣≤2CE0 on the domain. For fixed real ϑ,ϑ′ and each component wj, reality follows from [F6], and the curve t↦wj(ϑ+t(ϑ′−ϑ),ν) has derivative bounded by 2CE0∣ϑ−ϑ′∣1 by [F2]; the one-variable mean-value inequality gives ∣wj(ϑ)−wj(ϑ′)∣≤2CE0∣ϑ−ϑ′∣1. Summing over j gives ∣w(ϑ,ν)−w(ϑ′,ν)∣1≤2nCE0∣ϑ−ϑ′∣1≤12∣ϑ−ϑ′∣1 by 4nCE0≤1; then ∣Θν(ϑ)−Θν(ϑ′)∣1≥∣ϑ−ϑ′∣1−∣w(ϑ,ν)−w(ϑ′,ν)∣1≥12∣ϑ−ϑ′∣1, so Θν is injective, and Ψ∞(0,ϑ,ν)=Ψ∞(0,ϑ′,ν) implies Θν(ϑ)=Θν(ϑ′), hence ϑ=ϑ′. This is clause 1.

1.2givenF1F7algebra

Weighted phase Jacobians with the retracted parameters. Write Λ:=Ωα,τ and Dj=Brj/2×Ssj−8σj×Ohj+1(Λ) as in the composition supplier. For xj=(z,ν)∈Dj, recursively put xi=(zi,λi):=Ti(xi+1) for i=j−1,…,0, so xi∈Di and λi=ϕi(λi+1). Since these parameter coordinates are independent of the input phase z, the phase chain rule gives DzΨj=M0⋯Mj−1 with Mi:=DzΦ~i(zi+1,λi). The domain inclusions and retraction bounds of the composition supplier put each evaluation in the domain of [F7]'s one-step estimate. As WiWi+1−1=diag⁡(ηiIn,12In), [F7] gives ∥WiMiWi+1−1∥≤(1+CEi)/2≤9/16, using CEi≤CE0≤1/(4n)≤1/8. Inserting the adjacent weights into the product yields ∥W0DzΨjWj−1∥≤(9/16)j≤1, including the identity product at j=0.

2.1step 1.1F1F3algebra

Descent and injectivity on the torus. By [F1] each Ψj is 2π-equivariant and L is invariant under ϑ↦ϑ+2πk; passing to the uniform limit on L gives Ψ∞(0,ϑ+2πk,ν)=Ψ∞(0,ϑ,ν)+(0,2πk), so ϑ↦Ψ∞(0,ϑ,ν) maps equivalent points to points whose difference lies in {0}×2πZn and therefore induces a well-defined map Ψ^ν on Tn; it is continuous by the quotient property of [F3]; if Ψ^ν(πϑ)=Ψ^ν(πϑ′), then Θν(ϑ)−Θν(ϑ′)=2πk for some k∈Zn, and putting ϑ′′:=ϑ−2πk the equivariance gives Θν(ϑ′′)=Θν(ϑ′), so step 1.1 forces ϑ′′=ϑ′, i.e. πϑ=πϑ′; hence Ψ^ν is injective. This is clause 2.

2.2step 1.1F1F4algebra

Immersion. Let v∈Cn and suppose DϑΨ∞(0,ϑ,ν)v=0 at a real ϑ; the second component of this derivative is (In+∂ϑw(ϑ,ν))v, so ∣v∣1=∣−∂ϑw(ϑ,ν)v∣1≤2nCE0∣v∣1≤12∣v∣1 by the entrywise bound of step 1.1, and [F4] gives v=0; hence the differential has rank n. This is clause 3.

2.3step 1.2F1F5F7F8algebra

The finite normal-form residual. Fix a real label ν and a real phase point in Dj. The finite phase maps and parameter images are real by the one-step symmetry already proved in Conjugation symmetry of the KAM construction: real perturbations produce real tori; they are canonical by the composition supplier. Put H:=H0 and freeze its original parameter at χj(ν). The exact identity H(Ψj(z,ν);χj(ν))=ej(ν)+ν⋅I+Pj(z,ν) and the pointwise transport calculation [F5] give XH(Ψj;χj(ν))−DzΨj(0,ν)=DzΨjXPj. Here (0,ν) denotes the constant phase vector, while the parameter is fixed. By step 1.2 and [F8], the maximum norm of this residual after multiplication by W0 is at most 2εj/(rjσj)=2αEjσjμ−1. Since Ej≤4−jE0, σj=σ02−j and μ>1, this bound tends to zero.

3.1step 1.1step 2.1algebra

Lipschitz inverse. Let x=πϑ, y=πϑ′. Choose an integer vector k minimizing ∣Θν(ϑ)−Θν(ϑ′)−2πk∣∞; such a minimizer exists by choosing a closest integer in each coordinate. Step 1.1 applied to ϑ−2πk and ϑ′, with equivariance from step 2.1, gives ∣ϑ−ϑ′−2πk∣1≤2∣Θν(ϑ)−Θν(ϑ′)−2πk∣1≤2n dTn(πΘν(ϑ),πΘν(ϑ′)). The domain quotient distance is at most the left-hand side, and the phase distance is at least its angular quotient distance, so dTn(x,y)≤2n dphase(Ψ^ν(x),Ψ^ν(y)).

3.2step 2.3F1F5F6algebra

The limiting invariance identity. At z=(0,ϑ) with real ϑ, [F1] supplies convergence of the phase maps, their angular derivatives and the parameter maps. Each extended image lies in D0, so the action limit has maximum norm at most r0/2<r0, and dist⁡∞(χ∞(ν),Λ)≤h1=h04−μ<h0; the latter follows from the triangle inequality for distance and convergence. All limiting coordinates are real by [F6] and the symmetry supplier, so the angle limit lies in Ss0. The limit is therefore inside the open domain of H0, where XH is continuous. Passing to the limit in step 2.3, with W0 a fixed invertible matrix, gives XH(Ψ∞(0,ϑ,ν);χ∞(ν))=∑iνi∂ϑiΨ∞(0,ϑ,ν). The chain rule then makes t↦Ψ∞(0,ϑ0+tν,ν) an integral curve for every real t.

4.1step 2.1step 3.1F3F6algebra

The embedding. Let U⊆Tn be open and x0∈U; by [F3] there is δ>0 with {x:dTn(x,x0)<δ}⊆U, and by step 3.1 every y with dphase(Ψ^ν(y),Ψ^ν(x0))<δ/(2n) satisfies dTn(y,x0)<δ, hence lies in U; therefore Ψ^ν(U) is relatively open in the image, so the continuous bijection Ψ^ν:Tn→Ψ^ν(Tn) has continuous inverse, i.e. is a homeomorphism onto its image. This proves clause 4, together with the reality statement of [F6].

5.1step 4.1step 3.2F1F5algebra∎

The limiting Lagrangian image. The inclusion ι0(ϑ):=(0,ϑ) has ι0∗ω=0. At each fixed real target label the canonical phase map satisfies (Ψj∘ι0)∗ω=ι0∗(Ψj∗ω)=0. Each coefficient of this pullback is a finite sum of products of first angular derivatives of Ψj∘ι0; their convergence in [F1] therefore gives (Ψ∞∘ι0)∗ω=0. Together with the embedding of step 4.1 and the integral curves of step 3.2, this proves clause 5 under the stated 4nCE0≤1, without assuming CE0≤1/16.

Remarks

  • Sharpness of the smallness. The hypothesis 4nCE0≤1 is exactly what makes the angle map a strict contraction in the ℓ1-norm; it costs only a smaller step constant, hence a smaller final threshold, and no loss in the structure of the conclusion.
  • What is and is not claimed. The lemma produces an embedded torus for each Diophantine parameter; it does not claim that the family has positive measure (that is the content of the measure theorem) nor that the motion is stable in any sense beyond invariance.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Nondegenerate frequency reduction: translating the action variable by the inverse frequency map and the ε≤cα2 smallness

Statement

Let n≥2, τ>n−1, μ:=τ+3n+2, α>0, s0>0, 0<σ0≤min⁡(1,s0/24), and let c1∈(0,1] be the one-step smallness constant (the constant c of the estimates of One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound). Let the following data be given.

  1. An open set U⊆Cn, a compact set K⊆U∩Rn, a radius 0<r0≤1 with {J∈Cn:dist⁡∞(J,K)<2r0}⊆U, a nonempty set Ω⊆Rn and a conjugation-invariant open complex neighbourhood Ω′⊆Cn containing Ω; and a holomorphic map b:Ω′→U with Dh(b(ν))=ν for every ν∈Ω′, where h:U→C is holomorphic and b(Ω)+(Br0∩Rn)⊆K. (In the applications b=(Dh)−1 on a regular frequency patch, supplied by the real analytic inverse function theorem; here it is part of the data.)
  2. A constant M2≥1 with ∣ITD2h(J) I∣≤M2∣I∣∞2 for all I∈Cn and all J∈{J′:dist⁡∞(J′,K)<2r0}.
  3. A holomorphic function F on {J:dist⁡∞(J,K)<2r0}×Ss0, 2π-periodic in ϑ, with ∣F∣≤ε.

Put r:=ε/M2 and assume 0<r≤r0. Then:

  1. Taylor decomposition. For every ν∈Ω and ∣I∣∞≤r, h(b(ν)+I)=h(b(ν))+ν⋅I+Ph(I,ν),∣Ph(I,ν)∣≤M2∣I∣∞2.
  2. Effective perturbation. The function G(I,ϑ,ν):=h(b(ν)+I)−h(b(ν))−ν⋅I+F(b(ν)+I,ϑ) is holomorphic on Dr,s0,h0′(Ω) whenever Oh0′(Ω)⊆Ω′ and b(Oh0′(Ω))+Br⊆{J:dist⁡∞(J,K)<2r0}, 2π-periodic in ϑ, and satisfies ∣G∣≤M2r2+ε=2ε.
  3. α2-smallness. If ε≤c124⋅α2σ02μM2, then ∣G∣≤c1αrσ0μ; equivalently the relative smallness E:=∣G∣/(αrσ0μ) satisfies E≤c1.
  4. Transfer to the physical Hamiltonian. Let H(p,ϑ):=h(p)+F(p,ϑ) and suppose that the parameter Hamiltonian Hpar(I,ϑ,ν):=h(b(ν))+ν⋅I+G(I,ϑ,ν) satisfies the hypotheses of The parameter KAM limit: invariant quasi-periodic motion with frequency ν and Lagrangian images on Dr,s0,h0′(Ωα,τ) (same sequences, same one-step construction, with P0:=G), with limit phase family Φ∞=(ΦI,Φϑ) and limit original-parameter map χ∞. Then for every ν∈Ωα,τ the physical family Ψν(ϑ):=(b(χ∞(ν))+ΦI(0,ϑ,ν), Φϑ(0,ϑ,ν)) satisfies XH(Ψν(ϑ))=∑j=1nνj ∂ϑjΨν(ϑ),Ψν∗ω=0, where ω=∑jdϑj∧dIj and XH=(−Hϑ,HI) is taken in the action-angle coordinates (p,ϑ); that is, the image is an invariant Lagrangian torus of the physical Hamiltonian H with frequency ν.

Facts & Assumptions

Given: The data of clauses 1-3, the constant c1, and in clause 4 the hypotheses of The parameter KAM limit: invariant quasi-periodic motion with frequency ν and Lagrangian images for Hpar with P0=G.

[F1]

Domain and norm notation Dr,s,h(Ω), Br, Ss, Oh(Ω), holomorphy and sup-norms; the (α,τ)-label set Ωα,τ (Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels, Open ball, closed ball and sphere in a metric space).

[F2]

Calculus: the chain rule gives ddth(b(ν)+tI)=Dh(b(ν)+tI) I and d2dt2h(b(ν)+tI)=ITD2h(b(ν)+tI) I; the second-order Taylor formula with integral remainder is u(1)−u(0)−u′(0)=∫01(1−t)u′′(t) dt (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a), Directional derivatives and partial derivatives of a map U⊆Rm→Rn, Intervals of R: the nine order-convex forms, nondegeneracy, and length).

[F3]

Hamiltonian conventions: Xf=Jact∇f=(−fϑ,fI) with Jact:=(0−InIn0) in the action-first order (I,ϑ) and ω=∑jdϑj∧dIj (The Hamiltonian field of a C2 function on a phase domain is J∇H, and the Poisson bracket is ∑i(∂qif ∂pig−∂pif ∂qig), A phase domain, its canonical one-form and its standard symplectic two-form); a C1 map C is canonical iff DCTJact DC=Jact, which holds for translations because DC=I2n (A C1 map between phase domains preserves the standard two-form iff DCTJ DC=J, and a canonical diffeomorphism carries XH∘C to XH clause 1).

[F4]

The conclusions of The parameter KAM limit: invariant quasi-periodic motion with frequency ν and Lagrangian images: for the parameter Hamiltonian of its statement, XH(Ψ∞(0,ϑ,ν);χ∞(ν))=∑jνj∂ϑjΨ∞(0,ϑ,ν) on the real slice, and the pullback of ω along the real slice vanishes.

Proof

technique · direct; expand the integrable part to second order along the action segment, bound by the Hessian constant, choose $r$ to balance the two error terms, and translate the parameter family back to the physical variables
1.1givenF1F2algebra

Taylor decomposition. Fix ν∈Ω, ∣I∣∞≤r and put u(t):=h(b(ν)+tI) for t∈[0,1]; by [F2] u is C2 with u′(0)=Dh(b(ν))I=ν⋅I and u′′(t)=ITD2h(b(ν)+tI)I, so the integral remainder formula and the Hessian hypothesis give h(b(ν)+I)−h(b(ν))−ν⋅I=∫01(1−t)u′′(t) dt with ∣u′′(t)∣≤M2∣I∣∞2≤M2r2, hence ∣Ph(I,ν)∣≤12M2r2≤M2r2. This is clause 1.

2.1step 1.1givenF1algebra

The effective perturbation. G is a sum of compositions of holomorphic maps (b, h, F) and hence holomorphic on Dr,s0,h0′(Ω), and it is 2π-periodic in ϑ because F is; for each complex ν∈Oh0′(Ω) the containment hypothesis puts the whole Taylor segment b(ν)+tI in the Hessian-control tube. Repeating the integral remainder argument of step 1.1 there gives the same bound, so with ∣F∣≤ε, ∣G∣≤M2r2+ε=2ε since r2=ε/M2. This is clause 2.

3.1step 2.1givenalgebra

The α2-smallness. Since all quantities are positive, 2ε≤c1αrσ0μ is equivalent to 4ε2≤c12α2σ02με/M2, i.e. to ε≤c124α2σ02μ/M2; under that hypothesis ∣G∣≤2ε≤c1αrσ0μ, i.e. E≤c1. This is clause 3.

3.2step 2.1givenF3F4algebra

Transfer of the invariance. Put Tν(I,ϑ):=(b(χ∞(ν))+I,ϑ) and Hpar( ⋅ , ⋅ ,χ∞(ν))=H∘Tν by the definitions of H and Hpar; for the fixed original parameter χ∞(ν), Tν is a translation, DHpar=DH∘DTν=(DH)∘Tν and XH(Tνz)=XHpar(z;χ∞(ν)) for every z in the domain, while Tν is canonical by [F3] (DTν=I2n). Writing Ψν=Tν∘Φ∞(0, ⋅ ,ν) and using [F4], XH(Ψν(ϑ))=XHpar(Φ∞(0,ϑ,ν);χ∞(ν))=∑jνj∂ϑjΦ∞(0,ϑ,ν)=∑jνj∂ϑjΨν(ϑ).

4.1step 3.2F3F4algebra∎

Lagrangian character and conclusion. By [F3] and [F4] the pullback satisfies Ψν∗ω=Φ∞(0, ⋅ ,ν)∗(Tν∗ω)=Φ∞(0, ⋅ ,ν)∗ω=0 on the real slice; with step 3.2 this says that the image of Ψν is an invariant Lagrangian torus of H with frequency ν, which is clause 4.

Remarks

  • Where nondegeneracy enters. Only through the existence of the inverse frequency map b and through the Hessian bound M2; no convexity or Legendre-Fenchel duality is used, and h need not be convex.
  • The threshold. The reduction produces the classical condition ε≤cα2 on a fixed analytic domain: σ0 and M2 are fixed once the domain and the integrable part are fixed, so the factor α2σ02μ/M2 is exactly a constant times α2. No statement is made about optimality of the constant.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Small-divisor slabs and the positive measure of the Diophantine set: the resonance covering has measure O(α)

Statement

Let n≥1, τ>n−1, α>0 and R>0, and write ℓ(k):=∣k∣1 for k∈Zn and CR:=(−R,R)n. For every nonzero k put Sk:={ν∈CR:∣k⋅ν∣<α ℓ(k)−τ},R:=⋃k∈Zn∖{0}Sk, and let D:=CR∖R. Then:

  1. Slab bound. For every k≠0, ∣Sk∣≤2nnn/2Rn−1α ℓ(k)−τ−1.
  2. Resonant set. With Cn,τ:=2nnn/24n∑m≥1m n−2−τ (a finite constant, since τ>n−1), ∣R∣≤Cn,τRn−1α.
  3. Diophantine set. D is measurable, is contained in the (α,τ)-Diophantine set {ν∈CR:∣k⋅ν∣≥αℓ(k)−τ for all k≠0}, and ∣D∣≥(2R)n−Cn,τRn−1α; consequently, for every 0<α<α0(R,n,τ):=(2R)n/(Cn,τRn−1) the Diophantine set inside CR has positive measure.
  4. Boundary layer. For every 0<ρ<R the same bounds hold with R replaced by R−ρ, so the Diophantine set inside the closed cube [−R+ρ,R−ρ]n has measure at least (2(R−ρ))n−Cn,τ(R−ρ)n−1α; in particular frequencies at distance at least ρ from the boundary of CR form a positive-measure Diophantine set once α is small enough.

All measures are n-dimensional Lebesgue measure (Lebesgue measurable sets, the family L(Rn), and the restricted set function λn); the countable union and the re-summation over shells use the standard countable bookkeeping convention of The Axiom of Countable Choice (ACω), which is the only choice principle involved.

Facts & Assumptions

Given: The integers n≥1, the exponent τ>n−1, the constants α,R>0 and the sets Sk,R,D.

[F1]

The Diophantine condition and the supremum norm ∣⋅∣∞; the lattice norm is ℓ(k)=∣k∣1 (Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels).

[F2]

Lebesgue measure λn is the restriction of Lebesgue outer measure to its measurable sets (Lebesgue measurable sets, the family L(Rn), and the restricted set function λn). Under countable choice, those sets form a sigma-algebra and λn is a countably additive measure, hence monotone and countably subadditive (Assuming countable choice, L(Rn) is a sigma-algebra containing every elementary set and λn is a complete measure extending elementary volume). Every box with any choice of included faces has measure equal to the product of its side lengths, so ∣CR∣=(2R)n and bounded boxes have finite measure (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included).

[F3]

For n≥2, λn−1×λ1 agrees with n-dimensional Lebesgue measure on Borel sets, and Fubini computes the integral of an integrable function on that product; the factors are sigma-finite because increasing finite boxes cover each Euclidean space (On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}, Fubini's theorem for L^1 functions on a sigma-finite product, The product measure of two sigma-finite measure spaces). Orthogonal maps preserve Lebesgue measure (Lebesgue measure on Rn is invariant under every orthogonal linear map). The Euclidean ball notation uses the metric-ball definition (Open ball, closed ball and sphere in a metric space). For n=1 the slab length is computed directly, without a zero-dimensional Fubini factor.

[F4]

Lattice shells: #{k∈Zn:∣k∣1=m}≤4nmn−1 for m≥1, and the series ∑m≥1m n−2−τ converges because τ>n−1 (Fourier decay, Cauchy derivative bounds, lattice shell counts and the exponential small-divisor sums on action-angle neighbourhoods clause 3, Intervals of R: the nine order-convex forms, nondegeneracy, and length).

Proof

technique · direct; estimate each slab by slicing in the direction of $k$, sum over lattice shells, and take the complement
1.1givenF1F2F3algebra

The slab bound. If n=1, then Sk=(−R,R)∩(−α∣k∣−τ−1,α∣k∣−τ−1), so its length is at most 2α∣k∣−τ−1, which is the stated bound. Now suppose n≥2. Fix k≠0 and choose an orthogonal map Q with QTen=k/∣k∣2; such a map is obtained by extending the unit vector k/∣k∣2 to an orthonormal basis. Then ∣k⋅ν∣=∣k∣2∣(Qν)n∣ and Q(CR)⊆B(0,nR) (because ∣ν∣∞<R implies ∣ν∣2<nR). The set Q(Sk) is bounded and Borel, and has finite measure by containment in a cube; by [F3], Fubini in the last coordinate and the bound on its projection give ∣Sk∣=∣Q(Sk)∣≤(2nR)n−1⋅2αℓ(k)−τ∣k∣2−1. Since ∣k∣2≥ℓ(k)/n, this is at most 2nnn/2Rn−1αℓ(k)−τ−1. This is clause 1.

2.1step 1.1F2F4algebra

Summing the shells. By clause 1 and countable subadditivity of [F2], ∣R∣≤∑k≠0∣Sk∣≤2nnn/2Rn−1α∑m≥1#{k:∣k∣1=m}m−τ−1, and [F4] bounds the inner count by 4nmn−1, so the sum is at most 4n∑mm n−2−τ=Cn,τ/(2nnn/2); hence ∣R∣≤Cn,τRn−1α. This is clause 2.

3.1step 2.1F1F2algebra

The complement. R is a countable union of open slabs, hence open and measurable; its complement D=CR∖R is measurable; if ν∈D then ∣k⋅ν∣≥αℓ(k)−τ for every k≠0, so D is contained in the Diophantine set; and by [F2] and step 2.1, ∣D∣=∣CR∣−∣R∣≥(2R)n−Cn,τRn−1α, which is positive for α<α0(R,n,τ). This is clause 3.

4.1step 3.1F2algebra∎

Boundary layer. For 0<ρ<R the cube CR−ρ has measure (2(R−ρ))n and the same computation as in steps 1.1, 2.1 and 3.1 applies to it with R replaced by R−ρ, so the Diophantine set inside CR−ρ has measure at least (2(R−ρ))n−Cn,τ(R−ρ)n−1α, and it is at distance at least ρ from the boundary of CR. This is clause 4.

Remarks

  • Why τ>n−1. The exponent in the summed series is n−2−τ, so convergence is exactly τ>n−1; this is a summation phenomenon, not an arithmetic one, and no arithmetic property of the frequencies beyond the linear forms k⋅ν is used.
  • Uniformity in α. The constant Cn,τ is independent of α and R, so the estimate is uniform over cubes; this is the form needed when the positive-measure set is compared with the label set of the KAM iteration.
  • No sharper statement. The bound is an upper estimate for the union of slabs; no lower bound on the resonance measure and no claim about the topology of D (in particular no claim that D has interior) is made.
TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Positive-measure families of invariant Lagrangian tori for nondegenerate real analytic Hamiltonians: persistence for ε≤cα2

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let n≥2, τ>n−1, s0>0, and 0<σ0≤min⁡(1,s0/24). Put V2r0(K):={p∈Cn:dist⁡∞(p,K)<2r0}. Assume the following data.

  1. K⊂Rn is compact, r0>0, V2r0(K) is contained in an open set U⊆Cn, and h:U→C is holomorphic and real-valued on real points.
  2. Ω⊆Rn is nonempty and open, Ω′⊆Cn is a conjugation-invariant open neighborhood of Ω, and b:Ω′→U is holomorphic, real on real points, and satisfies Dh(b(ν))=ν on Ω′ and b(Ω)+(Br0∩Rn)⊆K.
  3. M2≥1 and ∣ITD2h(J)I∣≤M2∣I∣∞2 for every I∈Cn and every J∈V2r0(K). The inverse-frequency-map case b=(Dh)−1 on a regular patch is one source of such data; no convexity is assumed.
  4. F is holomorphic and conjugation-symmetric on V2r0(K)×Ss0, is 2π-periodic in each angle, and has supremum norm at most ε>0 there. A compact cube C∗ of positive side length has C∗⊂Ω and positive distance from ∂Ω.

Define the physical Hamiltonian H(p,ϑ):=h(p)+F(p,ϑ) on the phase domain (V2r0(K)∩Rn)×Tn, with ω=∑j=1ndϑj∧dpj. For ν∈C∗‾ put Ωα,τ:={ν∈C∗‾:∣k⋅ν∣≥α∣k∣1−τ for every k∈Zn∖{0}}. There is c>0, depending only on the fixed analytic data, n,τ,s0 and σ0, such that for every 0<α<c and 0<ε≤cα2 the following conclusions hold.

  1. Positive measure of labels. Ωα,τ has positive n-dimensional Lebesgue measure and ∣Ωα,τ∣≥∣C∗∣−Cn,τ(diam⁡C∗)n−1α, where Cn,τ is the constant of Small-divisor slabs and the positive measure of the Diophantine set: the resonance covering has measure O(α). Here diam⁡ is the diameter in the supremum norm.
  2. Invariant Lagrangian tori. The parameter KAM construction gives Ψ∞(0,ϑ,ν)=(a(ϑ,ν),ϑ+w(ϑ,ν)) and an original-parameter map χ∞(ν). The physical lift is Ψνphys(ϑ):=(b(χ∞(ν))+a(ϑ,ν), ϑ+w(ϑ,ν)). It lies in the stated phase domain, descends modulo 2π to an embedded torus Ψ^νphys:Tn→(V2r0(K)∩Rn)×Tn, and satisfies XH(Ψνphys(ϑ))=∑j=1nνj∂ϑjΨνphys(ϑ),(Ψνphys)∗ω=0.
  3. Closeness and label regularity. Put r:=ε/M2,E0:=2εM2ασ0μ,μ:=τ+3n+2. For a fixed finite constant Cphys depending only on the fixed analytic data, including bounds for Db near C∗, one has ∣b(χ∞(ν))+a(ϑ,ν)−b(ν)∣≤2CphysrE0,∣w(ϑ,ν)∣≤2Cphysσ0E0. The physical family is Lipschitz in ν∈Ωα,τ with constant at most Cphys[1+(r+σ0)E0h0], where h0=α/(2K0τ+1) and K0 is the initial cutoff selected in the proof. The variation of the unperturbed centre b(ν) is included.
  4. Positive phase-space measure. The union of the surviving tori K:=⋃ν∈Ωα,τΨ^νphys(Tn) has positive 2n-dimensional Lebesgue measure in the stated phase domain. Phase-space Lebesgue measure means ordinary Lebesgue measure in action coordinates and any local lift of the angular coordinates; changes of angle lift are translations and preserve that measure.

No probability, frequency-of-occurrence or empirical claim is made.

Facts & Assumptions

Given: The analytic data and the parameters α,ε in the Statement.

[F1]

The suppliers Affine Taylor splitting in the actions and conservative Fourier truncation of a small perturbation, The linear homological equation ν⋅∂ϑu=v on a Diophantine label set, with uniform parameter bounds and conservative loss, One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound, Elimination of the frequency shift by a holomorphic contraction retraction and The KAM parameter sequence: every step satisfies the smallness, truncation, parameter and contraction hypotheses supply the affine Taylor step, truncated solution, one-step Hamiltonian map and remainder, inverse frequency shifts, and parameter sequences. In particular the sequences have hj=h04−μj, angle loss 8σj, and a summable relative error sequence Ej satisfying Ej≤4−(μ+1)jE0.

[F2]

Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds gives the parameter limit Ψ∞=(a,ϑ+w) and χ∞, with ∣a∣≤ArE, ∣w∣≤AσE, ∣Dϑa∣≤ArE/σ, ∣Dϑw∣≤AE, Lip⁡(χ∞−id)≤CLB0/h0, and Lip⁡ν(a,w) in the fixed scaled phase norm at most 2CL(r+σ)E/h0. Here σ=min⁡(σ0,s0/32), E=2εM2/(ασμ), and B0=CαEσμ; all constants depend only on the fixed analytic data, n and τ.

[F4]

The reduction in Nondegenerate frequency reduction: translating the action variable by the inverse frequency map and the ε≤cα2 smallness gives G(I,ϑ,λ)=h(b(λ)+I)−h(b(λ))−λ⋅I+F(b(λ)+I,ϑ),∣G∣≤2ε, on a sufficiently small frequency neighborhood, and the choice r=ε/M2 yields the relative KAM smallness. The parameter Hamiltonian is exactly Hpar(I,ϑ,λ)=H(b(λ)+I,ϑ).

[F5]

Small-divisor slabs and the positive measure of the Diophantine set: the resonance covering has measure O(α) bounds the resonant slabs in a cube by Cn,τRn−1α for half-width R and exponent τ>n−1. For a translated cube, the orthogonal image is contained in a ball of the same radius centred at the translated centre, so the projected (n−1)-dimensional box bound and the slab thickness are unchanged. Under Lebesgue measure λn is the restriction of Lebesgue outer measure to its measurable sets (Lebesgue measurable sets, the family L(Rn), and the restricted set function λn). Under countable choice, it is countably subadditive and every open, closed, or half-open cube has measure equal to the product of its side lengths (Assuming countable choice, L(Rn) is a sigma-algebra containing every elementary set and λn is a complete measure extending elementary volume, A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included). On Borel subsets of R2n, λn×λn agrees with λ2n, and the product-measure rectangle formula gives λ2n(E1×E2)=λn(E1)λn(E2) for measurable factors (On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}, For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique, The product measure of two sigma-finite measure spaces).

[F6]

The set Λ is closed in C∗: for each k≠0, the map ν↦∣k⋅ν∣ is continuous (indeed Lipschitz), so its superlevel set is closed by The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, and Λ is their intersection with C∗. Thus Λ is compact. A cube in Rn is compact by Heine--Borel. The compact set Λ∩Q and the closed angle cube used below are therefore Borel. If a compact set in a metric space is considered in a local phase chart, its image there is Borel: compact subsets of metric spaces are closed, as a finite subcover of disjoint-neighbourhood balls separates any exterior point. Equip the phase space with the supremum product metric dphase((p,πθ),(p′,πθ′)):=max⁡{∣p−p′∣∞,dTn(πθ,πθ′)}, using dTn of The KAM limit parametrisation is an embedding of the torus: injectivity modulo 2π, rank-n differential and Lipschitz inverse. If a holomorphic map has invertible derivative at a point, continuity of the derivative gives a small convex cube on which the map is lower-Lipschitz: write A=Db(ν0), choose the cube so sup⁡∥Db−A∥≤(2∥A−1∥)−1, and integrate the derivative along a segment (The mean value inequality: if f:[a,b]→Rm is continuous and differentiable on (a,b) with ∥f′∥2≤M, then ∥f(b)−f(a)∥2≤M(b−a), The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The operator norm as the least bound and as the unit-sphere or unit-ball supremum, Intervals of R: the nine order-convex forms, nondegeneracy, and length). A closed bounded subset of a finite dimensional Euclidean space is compact by Heine--Borel, and a continuous image of a compact metric space is compact (Heine-Borel in Rn: with the Euclidean metric a subset of Rn is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, The image of a compact metric space under a continuous map is compact, and so is the image of any compact subset). A Lipschitz map between subsets of R2n sends null sets to null sets: cover a null set by cubes of arbitrarily small total volume and cover each cube's image by a dimension-dependent finite number of cubes with side bounded by its Lipschitz constant times the original side.

Proof

technique · direct; construct the translated parameter family, apply the complete iteration, transfer its tori to physical coordinates, then prove a joint lower-Lipschitz estimate for the frequency-angle parametrisation
1.1givenF1F2F5choosealgebra

Put σ:=min⁡(σ0,s0/32), so 3σ0/4≤σ≤σ0, and put E:=2εM2/(ασμ). Choose a compact complex neighborhood of C∗ inside Ω′ on which b has bounded derivative and dist⁡∞(b(λ),K)<r0/2; compactness and b(C∗)⊂K permit this. Reduce c so that r≤r0/4, h0+AB0 is smaller than the width of this neighborhood, and E meets the initial smallness requirements of [F1]-[F3]. The parameter-sequence lemma allows K0=O(1+∣log⁡E∣) and h0=α/(2K0τ+1). Since E0≤(4/3)μE and E(1+∣log⁡E∣)τ+1→0 as E↓0, c can also be chosen so every small Lipschitz bound used below is below its fixed positive threshold. Finally reduce c so Cn,τ(diam⁡C∗)n−1α<∣C∗∣/2 whenever 0<α<c.

2.1F2F5F6step 1.1algebra

Let Λ:=Ωα,τ. By [F6], Λ is a closed subset of the compact cube C∗, hence compact. For every δ>0, the resonant part C∗∖Λ is contained in the resonant part of the translated open cube obtained by enlarging each side by 2δ; [F5] bounds its measure by the slab constant with half-width R+δ. Letting δ↓0 gives ∣C∗∖Λ∣≤Cn,τ(diam⁡C∗)n−1α. Since C∗ and Λ are measurable, subtraction from ∣C∗∣ gives the lower bound in clause 1; choose c so this lower bound is positive. Every label is in the regular frequency patch; differentiating Dh(b(ν))=ν gives D2h(b(ν))Db(ν)=In, so Db(ν) is invertible. On a sufficiently small neighborhood of each frequency, b is lower-Lipschitz by [F6]. The frequency cube is covered by finitely many smaller closed cubes Q1,…,QN whose slightly larger convex neighborhoods have this property and lie in Ω′. At least one, say Q, has ∣Λ∩Q∣>0, because the finite cover covers the positive-measure set Λ. Choose the constants in step 1.1 so χ∞(Λ∩Q) remains in that larger neighborhood.

2.2step 1.1F3F4F7algebra

Define the physical family map on Λ×Tn by P(ν,ϑ):=(b(χ∞(ν))+a(ϑ,ν), ϑ+w(ϑ,ν)). For fixed ν, the translation I↦b(χ∞(ν))+I is canonical. Since Hpar(I,ϑ,χ∞(ν))=H(b(χ∞(ν))+I,ϑ) by [F4], [F3] transports the invariance identity and vanishing Lagrangian pullback to H. The reality and embedding statements of [F3] make each descended Ψ^νphys an embedded real torus. The geometric choice in step 1.1 keeps the image inside the actual domain of H. This proves clause 2.

2.3F2F3F4step 1.1algebra

The angle component of the parameter invariance equation is Dh(b(λ)+a)+Fp(b(λ)+a,ϑ+w)=ν+Dϑw ν,λ=χ∞(ν). Average over ϑ∈Tn. Each component of the periodic w has mean-zero derivatives, hence ν−λ=mean⁡(Dh(b(λ)+a)−Dh(b(λ)))+mean⁡Fp(b(λ)+a,ϑ+w). Polarization of the Hessian quadratic-form bound gives ∥D2h∥∞→∞≤nM2 on the real tube. The composition bounds [F2] and Cauchy's estimate on action discs of radius r0/4 give ∣a∣≤ArE and ∣Fp∣≤4ε/r0. Therefore ∣λ−ν∣≤nM2ArE+4ε/r0. With ∣Db∣≤Mb on the chosen compact neighborhood, ∣b(λ)+a−b(ν)∣≤ArE+Mb(nM2ArE+4ε/r0). Since ε/(rE)=ασμ/2≤1/2, this is bounded by a fixed multiple of rE. Also ∣w∣≤AσE. The comparisons E≤(4/3)μE0 and σ≤σ0 give clause 3 after enlarging Cphys.

3.1F2F6step 1.1step 2.1algebra

Fix α>0. On a lifted physical phase chart define the invertible linear output scaling Sα(p,θ):=(p/α,θ),Pα:=Sα∘P. Use the output norm ∥(u,v)∥∗:=∣u∣∞+∣v∣∞ and the input distance dα((ν,ϑ),(ν′,ϑ′)):=∣ν−ν′∣∞/α+∣ϑ−ϑ′∣∞. We prove a lower-Lipschitz estimate for Pα from this input distance to ∥⋅∥∗ on (Λ∩Q)×A, where A is a fixed closed angular cube of positive volume lying strictly inside one angle chart. Shrink c so the angular correction has supremum less than the distance from A to the boundary of a larger angle chart. Then both angular outputs have unique lifts in that chart. The composition estimates [F2], with constants enlarged to absorb the finite dimensional norm conversions, give for X:=∣ν−ν′∣∞/α and Y:=∣ϑ−ϑ′∣∞, ∣a(ϑ,ν)−a(ϑ′,ν′)∣∞α≤C(rEασY+rEh0X), ∣w(ϑ,ν)−w(ϑ′,ν′)∣∞≤C(EY+ασEh0X). The frequency map χ∞ has Lip⁡(χ∞−id)≤CLB0/h0, with B0=CαEσμ. Our choice of c makes this less than 1/2; hence ∣χ∞(ν)−χ∞(ν′)∣∞≥∣ν−ν′∣∞/2. Take m>0 to be the minimum of the finitely many lower-Lipschitz constants for b on the larger frequency cubes chosen in step 2.1; these cubes and constants depend only on the fixed analytic data. In particular it is a lower-Lipschitz constant on the selected cube. Thus the scaled base map Bα(ν,ϑ):=(b(χ∞(ν))/α,ϑ) satisfies ∥Bα(ν,ϑ)−Bα(ν′,ϑ′)∥∗≥(m/2)X+Y≥m∗(X+Y),m∗:=min⁡(m/2,1). The two error bounds above show that the scaled perturbation (a/α,w) has Lipschitz constant at most C(E+rEασ+rEh0+ασEh0). Here r/α≤c/M2, h0=α/(2K0τ+1), and EK0τ+1→0 as E↓0 because K0=O(1+∣log⁡E∣). Reducing c makes this Lipschitz constant smaller than m∗/2. Subtracting the error difference from the base difference proves the explicit scaled inequality ∥Pα(ν,ϑ)−Pα(ν′,ϑ′)∥∗≥(m∗/2)dα((ν,ϑ),(ν′,ϑ′)). The unscaled physical output has an equivalent norm for each fixed α>0, but no uniform unscaled lower-Lipschitz constant as α↓0 is asserted.

4.1step 2.1step 2.2step 3.1F5F6algebra∎

The compact set Λ∩Q has positive measure, and A has positive n-dimensional measure, so E:=(Λ∩Q)×A is Borel and has positive 2n-dimensional measure by [F5]. To see that K is measurable, represent each torus angle by a point of C0:=[0,2π]n. The domain Λ×C0 is a closed bounded subset of R2n, hence compact by [F6]. The map (ν,ϑ)↦P(ν,π(ϑ)) is continuous by the parameter Lipschitz and angular holomorphy bounds in [F2], and has image exactly K, because π(C0)=Tn. Thus K is compact in the metric phase space and is Lebesgue-measurable in its local charts. If the lifted physical image P(E) had measure zero, then Pα(E)=Sα(P(E)) would also have measure zero: for this fixed α>0, Sα and its inverse are linear Lipschitz maps with finite constants. Step 3.1 makes Pα injective, and its inverse on Pα(E) is Lipschitz in ordinary Euclidean coordinates. Indeed ∣ν−ν′∣∞+∣ϑ−ϑ′∣∞≤max⁡(α,1)dα; combining this with step 3.1 and the fixed finite-dimensional norm comparisons gives a finite inverse Lipschitz constant for each fixed α. By the cube-cover property in [F6], that inverse would send the null set Pα(E) to the positive-measure set E, a contradiction. The passage back to physical coordinates uses only invertibility of the fixed scaling, not a bound uniform as α↓0. Therefore this image, and hence K, has positive phase-space measure. This is clause 4.

Remarks

  • Scope. The theorem is a positive-measure persistence statement: it produces a family of invariant Lagrangian tori over a set of frequencies of positive measure, not all tori, not a neighbourhood of any torus, and nothing about stability in the sense of Lyapunov or about the dynamics off the tori.
  • Nondegeneracy. The hypothesis on h enters only through the existence of the inverse frequency map b (clause 2) and the Hessian constant M2; a merely smooth perturbation, a degenerate Hessian, a separatrix, or an arbitrarily large perturbation are all outside the statement.
  • Constants. The constant c depends on the fixed analytic domains and the integrable part; no quantitative value is asserted, and in particular the theorem does not claim a sharp threshold.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Conjugation symmetry of the KAM construction: real perturbations produce real tori

Statement

Assume the data, constants, sequences, one-step construction and notation of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds, and assume that the initial perturbation is conjugation-symmetric: P0(Iˉ,ϑˉ,νˉ)=P0(I,ϑ,ν)‾for every (I,ϑ,ν)∈Dr0,s0,h0(Ωα,τ). For any map g:Z→Cℓ, where Z⊆Cm is invariant under componentwise conjugation and m,ℓ≥1, put gc(z):=g(zˉ)‾, and call g conjugation-symmetric when gc=g. This operation needs no openness or holomorphy of Z or g; for holomorphic maps on open domains it also preserves holomorphy. It applies to scalar functions by taking ℓ=1, to parameter maps on Λ:=Ωα,τ⊆Rn, and to phase maps on L:={0}×Ss0/4×Λ. Then:

  1. One-step objects. For every j≥0 the functions Pj, Qj, Rj, R^j, Fj and vj=∂IR^j(0,⋅) are conjugation-symmetric on their domains, and ϕj(νˉ)=ϕj(ν)‾; in particular ϕj maps real points to real points.
  2. The maps. The extended steps Tj(z,ν)=(Φ~j(z,ϕj(ν)),ϕj(ν)) and their compositions are conjugation-symmetric. In particular Ψjc=Ψj and χjc=χj for every j.
  3. The limit. Ψ∞c=Ψ∞ on L and χ∞c=χ∞ on Λ; in particular for real ϑ and real ν the point Ψ∞(0,ϑ,ν) is real, that is b(ϑ,ν)∈Rn and w(ϑ,ν)∈Rn.

Facts & Assumptions

Given: The data, constants and one-step construction of Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds with a conjugation-symmetric initial perturbation P0.

[F1]

Conjugation dictionary: for a set Ω⊆Rn the domain Dr,s,h(Ω) is invariant under (I,ϑ,ν)↦(Iˉ,ϑˉ,νˉ) (because dist⁡∞(νˉ,Ω)=dist⁡∞(ν,Ω)); the conjugate gc of a holomorphic g is holomorphic; (g+h)c=gc+hc, (gh)c=gchc, (∂zkg)c=∂zkgc, and gc=g implies g(z)∈C is real for every real z (Analytic KAM data: angular tori, action-angle neighbourhoods, Fourier cutoffs and Diophantine frequency labels, Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions, Complex m-space and its real coordinate dictionary).

[F2]

The formulas of the one-step construction at stage j: Qj=Pj(0,ϑ,ν)+∑l∂IlPj(0,ϑ,ν)Il and Rj=TKQj are holomorphic and affine in I (Affine Taylor splitting in the actions and conservative Fourier truncation of a small perturbation clause 2); Fj is the unique zero-mean holomorphic solution of ν⋅∂ϑFj=Rj−R^j on its domain, with Fourier support in ∣k∣1≤K (The linear homological equation ν⋅∂ϑu=v on a Diophantine label set, with uniform parameter bounds and conservative loss clauses 1 and 3); Φ~j is the time-one map of XFj (One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound clause 2), vj=∂IR^j(0,⋅) is holomorphic on Ohj (clause 4 there), and ϕj(ν+) is the unique ν∈Ohj/2(Ωα,τ) with ν+vj(ν)=ν+ (Elimination of the frequency shift by a holomorphic contraction retraction clause 1); finally Pj+1(I,ϑ,ν)=Pj+(I,ϑ,ϕj(ν)), where Pj+ is the exact expression of One KAM step: the affine generator, its canonical time-one flow, and the quadratic remainder bound clause 3 in terms of Pj,Rj,Fj and the flows of XFj.

[F3]

Uniqueness of solutions of the autonomous system z′=XF(z,ν): every solution through a point is the restriction of the maximal one (The local flow of an autonomous first-order system).

[F4]

Conjugation commutes with limits in Cℓ: ∣zˉ−zˉ′∣∞=∣z−z′∣∞. Thus a pointwise limit of conjugation-symmetric maps on any fixed conjugation-invariant set remains conjugation-symmetric. On L, Convergence of the composed KAM transformations, with derivative and frequency-Lipschitz bounds clause 2 supplies uniform convergence and holomorphy in the angles at each real label; its clause 5 supplies uniform convergence of the parameter maps on Λ. No joint holomorphic extension of either limit is asserted.

Proof

technique · direct; induction on the stage, using that the one-step operations (Taylor truncation, Fourier cutoff, solving the homological equation, flowing, and the frequency retraction) commute with conjugation, and passing to the limit
1.1givenF1F2algebra

The truncation and mean objects. Assume Pjc=Pj; by [F1] derivatives, products with the real-coefficient coordinates Il and finite sums give Qjc=Qj. In the Fourier integral over real angles, conjugation exchanges the modes k and −k: (Qjc)k(I,ν)=(Qj)−k(Iˉ,νˉ)‾. Since ∣k∣1≤Kj is invariant under this exchange, (TKjQj)c=TKj(Qjc), and the k=0 coefficient is preserved. Hence Rjc=Rj, R^jc=R^j and vjc=vj.

2.1step 1.1F1F2algebra

The generator. Put Gj:=Rj−R^j, so Gjc=Gj by step 1.1 and Gj has zero mean; by [F1], Fjc is holomorphic, has zero mean and the same Fourier support, and ν⋅∂ϑFjc=(ν⋅∂ϑFj)c=Gjc=Gj; since Fj is the unique zero-mean holomorphic solution of ν⋅∂ϑw=Gj (The linear homological equation ν⋅∂ϑu=v on a Diophantine label set, with uniform parameter bounds and conservative loss clause 1), Fjc=Fj.

2.2step 1.1F1F2algebra

The frequency retraction. By step 1.1, vjc=vj; fix ν+∈Ohj/4(Ωα,τ) and put ψ(ν+):=ϕj(νˉ+)‾; then ψ(ν+)+vj(ψ(ν+))=ϕj(νˉ+)‾+vj(ϕj(νˉ+))‾=νˉ+‾=ν+, and ψ(ν+)∈Ohj/2(Ωα,τ) because that set is conjugation-invariant; by the uniqueness clause of Elimination of the frequency shift by a holomorphic contraction retraction clause 1, ψ=ϕj, so ϕjc=ϕj and ϕj is real on real points.

3.1step 2.1F1F2F3algebra

The flow. By step 2.1 and [F1], XFjc=XFj, that is XFj(zˉ,νˉ)=XFj(z,ν)‾; if t↦z(t) solves z′=XFj(z,ν) then t↦z(t)‾ solves y′=XFj(y,νˉ) (differentiate and conjugate), with y(0)=z(0)‾; by [F3] t↦z(t)‾ agrees on its interval with the maximal solution through z(0)‾ with parameter νˉ, i.e. (Φt)c=Φt for the flow of XFj, and evaluating at t=1 gives Φ~jc=Φ~j; in particular, for real ν, Φ~j maps real points to real points.

4.1step 1.1step 2.1step 3.1step 2.2F1F2givenalgebra

Induction and the composed maps. By steps 1.1, 2.1, 3.1, 2.2 the whole one-step operation preserves conjugation symmetry: Pj+ is built from Pj, Rj, Fj, the flows of XFj and Poisson brackets by sums, products, compositions and parameter integrals, all of which preserve (⋅)c by [F1], and the substitution ν↦ϕj(ν) preserves it by step 2.2; hence Pj+1c=Pj+1. The extended step Tj(z,ν)=(Φ~j(z,ϕj(ν)),ϕj(ν)) is therefore conjugation-symmetric, and so is its extended composition T0∘⋯∘Tj−1=(Ψj,χj). Projecting the two components yields Ψjc=Ψj and χjc=χj. This proves clauses 1 and 2 by induction on j.

5.1step 4.1F4algebra∎

The limit. For ν∈Λ and ϑ∈Ss0/4, both (0,ϑ,ν) and (0,ϑˉ,ν) belong to L. Step 4.1 gives Ψj(0,ϑˉ,ν)=Ψj(0,ϑ,ν)‾; passing to the pointwise limits furnished by [F4] gives Ψ∞(0,ϑˉ,ν)=Ψ∞(0,ϑ,ν)‾. Likewise χj(ν)=χj(ν)‾ for ν∈Λ gives χ∞(ν)=χ∞(ν)‾. These are exactly Ψ∞c=Ψ∞ on L and χ∞c=χ∞ on Λ under the stated map-level definition. At real angles the phase point is therefore real, so b(ϑ,ν) and w(ϑ,ν) are real. This proves clause 3 without an open complex-parameter domain for the limit.

Remarks

  • Why the conjugating computation is legitimate. Working with gc avoids any appeal to an identity theorem against the real locus, which in several variables has empty interior; the equations satisfied by the conjugate are checked directly.
  • Scope. The lemma only transfers the real structure; it makes no statement about the size of the torus family, which is the content of the measure theorem.

5 · Examples, experiments and counterexamples

None yet.

Sources