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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.

Depends on

Dependency tree · 2 levels

Sources