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Stationary graph translation preserves source asymptotics

Statement

Let k be a nonnegative integer, R0>0, E={x∈R3:r=∣x∣>R0}, and u∈Ck+1(E;R). In a stationary end chart V⊆R×E, suppose Γu={(u(x),x):x∈E}⊆V is a hypersurface graph. Write D⊆R×M for the domain of the stationary flow ϕ, with coordinate law ϕa(t,x)=(t+a,x) whenever the flow is defined and both points lie in V. Fix s∈R such that (s,p)∈D and ϕs(p)∈V for every p∈Γu. Then ϕs(Γu) is the graph t=u(x)+s over the same E.

If 0<α≤1 and ∣u∣+∑j=1k+1rj∣∂ju∣≤Cwα(r) on E, where C≥0 is finite, wα(r)=(1+r)1−α for α<1 and w1(r)=1+log⁡(1+r), then the fixed translate obeys the same bound with C+∣s∣ in place of C. Here ∂ju denotes the finite array of order-j Cartesian derivatives, with its Euclidean norm. For 1≤j≤k+1 and 0<λ≤1, any additionally imposed finite weighted Hölder bound on ∂ju is unchanged: on every annulus AR={R<∣x∣<2R}⊆E, the seminorm [v]λ;AR=sup⁡x≠y∈AR∣v(x)−v(y)∣/∣x−y∣λ is identical for v=∂j(u+s) and v=∂ju. Finiteness of the relevant Hölder seminorms is an additional hypothesis, not a consequence of the stated Ck+1 regularity. These source-type bounds do not force u→0 or even convergence to a finite constant.

Facts & Assumptions

[F1]

Chart derivative bounds and weighted Hölder estimates have their fixed-coordinate meaning. The formula in the Statement also specifies the endpoint exponent λ=1. Differentiated asymptotic bounds and parameter uniformity

[F2]

A local flow has a domain D; the translation law and the conditions that the chosen s is defined on all of Γu and its image remains in V are explicit hypotheses here, not consequences of the flow definition. Local and global flows generated by a vector field

[F3]

A hypersurface is an embedded submanifold of codimension one; Γu is assumed to be such a hypersurface in the chart. Codimension and hypersurfaces

[F4]

If f:[a,b]→Rm is continuous on [a,b], differentiable on (a,b), a<b, and ∣f′(t)∣≤M there for a finite M≥0, then ∣f(b)−f(a)∣≤M(b−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)

[F5]

For every ε>0, log⁡t/tε→0 as t→+∞. The logarithm grows more slowly than every positive real power

Proof

Given: The chart, graph, flow-domain conditions, regularity and estimates in the Statement.

Goal: Establish graph translation, preservation of the estimates and the absence of forced finite limiting height.

1.1F1F2

For every x∈E, the domain and containment hypotheses permit use of the coordinate law at (u(x),x), giving ϕs(u(x),x)=(u(x)+s,x). As x ranges over E, these are exactly the points of the translated graph. All derivatives of positive order through k+1 remain the same, and ∣u+s∣≤∣u∣+∣s∣. Since wα≥1, replacing C by C+∣s∣ proves the claimed bound, while derivative Hölder differences, their seminorms and any fixed radius weights are identical.

2.1F1F4F5step 1.1∎

On E={r>1}, the smooth function u(x)=log⁡r is unbounded, but rj∣∂ju∣ is bounded for every fixed j≥1: the first derivatives are homogeneous of degree −1, further differentiation lowers that degree, and their angular factors are smooth on the unit sphere. Also ∣u∣≤w1(r)≤Cαwα(r) for α<1: apply [F5] with ε=1−α>0 and t=1+r. Choose T≥2 so that log⁡t≤tε for t≥T. There 1+log⁡t≤2tε; for 2<t≤T, 1+log⁡t≤1+log⁡T≤(1+log⁡T)tε. Thus Cα=max⁡{2,1+log⁡T} suffices. For completeness, if v=∂ju and x,y∈AR with ∣x−y∣≤R/2, the connecting segment stays at radius at least R/2. For distinct x,y, the finite derivative array f(t)=v(x+t(y−x)), 0≤t≤1, is smooth and has ∣f′(t)∣≤CjR−j−1∣x−y∣ by the next-derivative bound. Applying [F4] on [0,1] gives ∣v(x)−v(y)∣≤CjR−j−1∣x−y∣; for x=y the inequality is immediate. If ∣x−y∣>R/2, the individual derivative bounds give ∣v(x)−v(y)∣≤CjR−j. Consequently [∂ju]λ;AR≤Cj,λR−j−λ for 0<λ≤1 and R≥2. This supplies the corresponding weighted Hölder control, including that at the highest derivative order. Thus the displayed growth class does not imply zero height or a finite limiting height; this is a statement about the estimate, not a spacetime counterexample.

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