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Small-data contraction around a nonzero trajectory

PDF p. 20: endpoint identities and final contraction estimates

Statement

Assume the Axiom of Choice and the hypotheses of Endpoint feedback around a trajectory, with n∈{2,3}: the smooth compact obstacle has connected nontrapping exterior Ω, T>0, λ∈R∖{0}, the reference solution w satisfies (W), and the conditional unique-continuation hypothesis (UCPw) holds. In particular, (W) means w∈C([0,T];HD2(Ω)∩W2,∞(Ω)) and iwt+Δw+λ∣w∣2w=0 distributionally. The hypothesis (UCPw) says that an energy-continuous solution of ivt+Δv+2λ∣w∣2v−λw2v‾=0 vanishing on (0,T)×ω vanishes everywhere; ω is the exterior observation region in the feedback definition.

For s∈{1,2} put E=HDs=D((I−ΔD)s/2), with its spectral norm. For s=1, let XT=C([0,T];H01)∩Lt4Lx∞ with the sum norm and compatible jointly measurable representative specified by Energy control space with a time-integrable supremum norm; H01 is the H1 closure of compactly supported smooth functions. For s=2, let XT=C([0,T];HD2) with the supremum spectral norm. Let S, the bounded real-linear endpoint selector Gw, the cutoff φ, and the maps Nw, hz, Tw be those of Endpoint feedback around a trajectory, with F(w,z)=λ(2w∣z∣2+w‾z2+∣z∣2z).

For all z,z~∈XT, the map Tw is defined in XT and satisfies Tw(z)(0)=z0, Tw(z)(T)=zT, and hz−hz~=−Gw(0,Nw(z)(T)−Nw(z~)(T)). There are positive constants C1,C2, depending on the fixed hypotheses but not on z,z0,zT, such that, writing δ′=∥z0∥E+∥zT∥E and all unlabelled norms as XT norms, ∥Tw(z)∥≤C1δ′+C2(∥z∥2+∥z∥3), ∥Tw(z)−Tw(z~)∥≤C2(∥z∥+∥z~∥+∥z∥2+∥z~∥2)∥z−z~∥.

For sufficiently small δ>0, if δ′≤2δ, the closed ball of radius 4C1δ in XT is invariant under Tw and the restriction is a strict contraction. It has a unique fixed point in that ball, with endpoints z0,zT and selected control hz∈C([0,T];E). The fixed point satisfies the feedback integral equation for the controlled perturbation. No uniqueness outside the ball is asserted.

Facts & Assumptions

[F1]

Endpoint feedback around a trajectory gives the stated hypotheses, real-linear evolution and selector, the endpoint property of the controlled linear solution, and the definitions Nw(z)(t)=∫0tS(t,r)(iF(w,z)(r)) dr, hz=Gw(z0,zT−Nw(z)(T)) and Tw(z)(t)=S(t,0)z0+Nw(z)(t)+∫0tS(t,r)(−iφhz(r)) dr.

[F2]

Quadratic-cubic estimates near a reference trajectory gives F(w,z)∈L1(0,T;E) and its quadratic-cubic growth and difference estimates in the stated XT norm. Linearized propagator bounds in the nonlinear control spaces gives the homogeneous and retarded L1(0,T;E)→XT bounds for S under the same dimension, geometry and trajectory hypotheses. The factors i and −i remain inside S, which is only real-linear.

[F3]

Cutoff multipliers through order two and by duality bounds multiplication by φ on E. The definition Energy control space with a time-integrable supremum norm supplies the Banach property of the energy space, while Dirichlet spectral Sobolev scale and duality supplies the complete spectral state space. We assume The Axiom of Choice, as required by these suppliers.

[F4]

A bounded endpoint selector yields small nonlinear exact steering gives the endpoint identities and the fixed-point conclusion for a bounded real-linear selector and the same homogeneous and control solution maps, provided its Banach, evaluation and nonlinear estimates hold.

[F5]

A contraction of a nonempty complete metric space into itself has exactly one fixed point in that space. A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point

Proof

Given: The hypotheses, endpoints and maps in the Statement.

Goal: Establish the endpoint identities, estimates and small-ball contraction, and obtain the controlled fixed point.

1.1F2F3

Regard E and XT as real spaces. In the energy case XT is Banach by [F3] and continuously embeds in C([0,T];E) by the norm equivalence in [F2]. In the order-two case E is complete by [F3]; a uniformly Cauchy sequence of continuous E-valued paths has a uniform limit, and the uniform limit is continuous, so XT=C([0,T];E) is Banach. Evaluation is bounded in both cases.

1.2F1F2F3

Define Ax=S(⋅,0)x and Dch=∫0⋅S(⋅,r)(−iφh(r)) dr. The homogeneous estimate in [F2] bounds A:E→XT. By [F3], ∥−iφh∥Lt1E≤T∥φ∥E→E∥h∥CtE; the retarded estimate bounds Dc:C([0,T];E)→XT. These maps and Gw are real-linear. Their controlled solution Ax+DcGw(x,y) is exactly the one whose endpoints are x,y in [F1].

1.3F1F2

By [F2], Nw:XT→XT is well defined and obeys ∥Nw(z)∥≤C(∥z∥2+∥z∥3) and ∥Nw(z)−Nw(z~)∥≤C(∥z∥+∥z~∥+∥z∥2+∥z~∥2)∥z−z~∥. Here multiplication by i preserves the E norm before application of the retarded estimate. The polynomial gives Nw(0)=0, and the zero-length integral gives Nw(z)(0)=0.

2.1F1F4step 1.2step 1.3

The maps in steps 1.2 and 1.3 realize the endpoint-feedback framework of [F4] with m=3. The selector is bounded, so combining its norm bound with steps 1.2 and 1.3 yields the two displayed estimates for suitable positive C1,C2. Real-linearity gives hz−hz~=−Gw(0,Nw(z)(T)−Nw(z~)(T)). The controlled linear part has endpoints z0 and zT−Nw(z)(T); adding Nw(z), whose initial value is zero, gives the stated endpoint identities for every z.

3.1step 2.1

Set M=4C1δ. Choose δ>0 sufficiently small that C2(M2+M3)≤M/2 and C2(2M+2M2)<1. If δ′≤2δ, step 2.1 gives ∥Tw(z)∥≤M whenever ∥z∥≤M, and gives a Lipschitz constant strictly below one for pairs in that ball.

4.1F1F5step 1.1step 2.1step 3.1∎

Put B={z∈XT:∥z∥≤M} with metric d(z,u)=∥z−u∥. It is nonempty because 0∈B. A Cauchy sequence (zj) in B converges in XT by step 1.1, and its limit z satisfies ∥z∥≤∥z−zj∥+M for every j, hence ∥z∥≤M. Thus B is complete. Step 3.1 shows that Tw∣B:B→B is a contraction with constant q=C2(2M+2M2)<1. Applying [F5] to this metric space and this restriction gives exactly one fixed point in the stated radius-4C1δ ball. The endpoint identities of step 2.1 apply to that fixed point; its selector value belongs to C([0,T];E). Substitution of the fixed point into the definition in [F1] gives the controlled perturbation integral equation, with the factors i retained inside the real-linear propagator. This proves the claim.

Source notes

The frozen article is cited for attribution of the endpoint identities and contraction estimates on PDF page 20. The proof above uses the stated mathematical suppliers rather than that passage as a premise.

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