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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 : the smooth compact obstacle has connected nontrapping exterior , , , the reference solution satisfies (W), and the conditional unique-continuation hypothesis (UCPw) holds. In particular, (W) means and distributionally. The hypothesis (UCPw) says that an energy-continuous solution of vanishing on vanishes everywhere; is the exterior observation region in the feedback definition.
For put , with its spectral norm. For , let with the sum norm and compatible jointly measurable representative specified by Energy control space with a time-integrable supremum norm; is the closure of compactly supported smooth functions. For , let with the supremum spectral norm. Let , the bounded real-linear endpoint selector , the cutoff , and the maps , , be those of Endpoint feedback around a trajectory, with .
For all , the map is defined in and satisfies , , and . There are positive constants , depending on the fixed hypotheses but not on , such that, writing and all unlabelled norms as norms,
For sufficiently small , if , the closed ball of radius in is invariant under and the restriction is a strict contraction. It has a unique fixed point in that ball, with endpoints and selected control . The fixed point satisfies the feedback integral equation for the controlled perturbation. No uniqueness outside the ball is asserted.
Facts & Assumptions
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 , and .
Quadratic-cubic estimates near a reference trajectory gives and its quadratic-cubic growth and difference estimates in the stated norm. Linearized propagator bounds in the nonlinear control spaces gives the homogeneous and retarded bounds for under the same dimension, geometry and trajectory hypotheses. The factors and remain inside , which is only real-linear.
Cutoff multipliers through order two and by duality bounds multiplication by on . 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.
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.
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.
Regard and as real spaces. In the energy case is Banach by [F3] and continuously embeds in by the norm equivalence in [F2]. In the order-two case is complete by [F3]; a uniformly Cauchy sequence of continuous -valued paths has a uniform limit, and the uniform limit is continuous, so is Banach. Evaluation is bounded in both cases.
Define and . The homogeneous estimate in [F2] bounds . By [F3], ; the retarded estimate bounds . These maps and are real-linear. Their controlled solution is exactly the one whose endpoints are in [F1].
By [F2], is well defined and obeys and . Here multiplication by preserves the norm before application of the retarded estimate. The polynomial gives , and the zero-length integral gives .
The maps in steps 1.2 and 1.3 realize the endpoint-feedback framework of [F4] with . The selector is bounded, so combining its norm bound with steps 1.2 and 1.3 yields the two displayed estimates for suitable positive . Real-linearity gives . The controlled linear part has endpoints and ; adding , whose initial value is zero, gives the stated endpoint identities for every .
Set . Choose sufficiently small that and . If , step 2.1 gives whenever , and gives a Lipschitz constant strictly below one for pairs in that ball.
Put with metric . It is nonempty because . A Cauchy sequence in converges in by step 1.1, and its limit satisfies for every , hence . Thus is complete. Step 3.1 shows that is a contraction with constant . Applying [F5] to this metric space and this restriction gives exactly one fixed point in the stated radius- ball. The endpoint identities of step 2.1 apply to that fixed point; its selector value belongs to . Substitution of the fixed point into the definition in [F1] gives the controlled perturbation integral equation, with the factors 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.
Depends on
- Endpoint feedback around a trajectory
- Energy control space with a time-integrable supremum norm
- Dirichlet spectral Sobolev scale and duality
- Linearized propagator bounds in the nonlinear control spaces
- Quadratic-cubic estimates near a reference trajectory
- Cutoff multipliers through order two and by duality
- A bounded endpoint selector yields small nonlinear exact steering
- The Axiom of Choice
- A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point
Dependency tree · 2 levels
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Sources
- Nonlinear Schrödinger equation in an exterior domain, v2 · PDF page 20, proof of Theorem 1.5