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Viscous solutions contract spatial translates in L-one

Statement

Assume Countable Choice (The Axiom of Countable Choice (ACω)) for the analytic prerequisites used below.

Let n≥1, 0<ε≤1, let f∈C2(R;Rn) satisfy f(0)=0, and let u0∈Cc∞(Rn). Let uε be the mild viscous solution with initial datum u0 from The viscous scalar Cauchy problem with smooth data has a global classical solution. Then for every h∈Rn and t∈[0,T], ∥uε(⋅+h,t)−uε(⋅,t)∥1≤∥u0(⋅+h)−u0(⋅)∥1. The estimate depends on f only through a bound for ∣f′∣ on the solution range. Thus it is uniform for any family of such fluxes with a common derivative bound on that range and the same initial datum (Absolute value in an ordered field, The space Lp(μ) as the quotient by null functions).

Facts & Assumptions

Given: Countable Choice, n≥1, 0<ε≤1, f∈C2 with f(0)=0, u0∈Cc∞, the viscous solution uε, a shift h∈Rn, and a spatial cutoff family χR(x)=χ(x/R) with χ∈Cc∞, 0≤χ≤1, χ=1 on B1 and χR→1 pointwise.

[F1]

The viscous solution is a classical solution with uε∈C([0,T];Cb)∩C([0,T];L1)∩C1,2(Rn×(0,T)), its range is the initial range, and it is bounded in L1 uniformly on [0,T] (The viscous scalar Cauchy problem with smooth data has a global classical solution, Uniform L-infinity, mass and energy bounds for the viscous approximations).

[F3]

Dominated convergence on compact sets and in the cutoff limit, and continuity in C([0,T];L1) permitting the limits R→∞ and s↓0 (Dominated convergence, The space Lp(μ) as the quotient by null functions). The smooth cutoffs with ∣DχR∣≤C/R and ∣ΔχR∣≤C/R2 are supplied by Explicit compactly supported smooth cutoffs.

Proof

technique · direct
1.1F1F2

The translate difference solves a linear equation. Fix h and put w(t,x)=uε(t,x+h)−uε(t,x), so that w∈C([0,T];L1)∩C1,2 by [F1]. Define a(t,x)=∫01f′(suε(t,x+h)+(1−s)uε(t,x)) ds; then a is C1 and bounded by LM=sup⁡∣s∣≤∥u0∥∞∣f′(s)∣, and f(uε(t,x+h))−f(uε(t,x))=a(t,x)w(t,x). Subtracting the two pointwise viscous equations and using the chain rule gives wt+div⁡(aw)=εΔw.

2.1F2step 1.1

The modulus balance. For δ>0 let ηδ(r)=r2+δ2, so that ηδ∈C∞, ηδ≥∣r∣, ∣ηδ′∣≤1, and ηδ(r)−rηδ′(r)=δ2/ηδ(r), ηδ′′(r)=δ2/ηδ(r)3. On compact subsets of Rn×(0,T), using step 1.1 and [F2], ∂tηδ(w)+div⁡(aηδ(w))−εΔηδ(w)=ηδ′(w)(wt+a⋅∇w−εΔw)+(div⁡a)ηδ(w)−εηδ′′(w)∣∇w∣2=δ2ηδ(w)div⁡a−εδ2∣∇w∣2ηδ(w)3.

3.1F1F3step 2.1

The limit δ↓0. The second term of step 2.1 is nonpositive, and the first is bounded in absolute value by δ ∣div⁡a∣, which tends to 0 in Lloc1 as δ↓0 because div⁡a is bounded on compact sets; since ηδ(w)→∣w∣ pointwise and ∣ηδ(w)∣≤∣w∣+δ, dominated convergence gives the distributional inequality ∂t∣w∣+div⁡(a∣w∣)≤εΔ∣w∣ on ΠT.

4.1F1F2F3step 3.1

Cutoff estimate. Test step 3.1 with χR(x) times a nonnegative smooth time test. In distributions in time this gives ddt∫∣w(t)∣χR≤C(LMR−1+εR−2)∥w(t)∥1. Approximating the indicator of (s,t) by smooth time cutoffs and using the L1 continuity of w gives, for all 0<s<t<T, ∫∣w(t)∣χR≤∫∣w(s)∣χR+C(LMR−1+εR−2)∫st∥w(r)∥1dr. The time integral is finite by [F1]. Dominated convergence as R→∞ yields ∥w(t)∥1≤∥w(s)∥1; continuity includes t=T.

5.1step 4.1F1F3∎

Conclusion. Letting s↓0 in step 4.1 and using the C([0,T];L1) continuity of w and w(0,⋅)=u0(⋅+h)−u0(⋅) gives ∥uε(⋅+h,t)−uε(⋅,t)∥1=∥w(t)∥1≤∥w(0)∥1=∥u0(⋅+h)−u0(⋅)∥1 for every t∈[0,T]. Every constant used depends on f only through LM, the bound for ∣f′∣ on the solution range, so the estimate is uniform over such flux families.

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