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PropositionStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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An explicit conditional nonlinear energy closure

Statement

Let I=[0,T) with 0<T≤∞, and let E:I→[0,∞) be the energy functional of a wave system of the kind specified in the preceding positive matrix-potential energy theorem, restricted to its existence interval. Here absolute continuity on compact subintervals has the endpoint-increment meaning in the cited definition. Suppose E is absolutely continuous on every compact subinterval of I and, for constants C≥0, δ>0, satisfies for almost every t∈I E′(t)≤C(1+t)−1−δE(t)3/2. If E(0)>0 and CE(0)<2δ, then E(t)≤E(0)[1−CE(0)2δ]−2(t∈I). This is a bound only on the given existence interval; a separate continuation theorem is needed to infer global existence. For comparison, if C>0 and the coefficient is changed to (1+t)−1, the equality model E′=C(1+t)−1E3/2 with the same positive initial value blows up at the finite time exp⁡(2/(CE(0)))−1. This comparison is an ODE example, not a claim that an RN or Kerr–Newman perturbation satisfies either differential inequality. Time and energy are dimensionless in this scalar comparison.

Facts & Assumptions

Given: The nonnegative energy from the coupled-potential estimate, the stated interval, absolute continuity, constants C,δ, the differential inequality, ACω, and DC.

[F1]

Positive matrix-potential wave system energy: its matrix wave energy is nonnegative and absolutely continuous for the stated smooth solutions, with its exact energy functional and finite-time derivative identity.

[F2]

Absolute continuity on a compact interval: F is absolutely continuous on [a,b] when for every ε>0 there is η>0 such that every finite family of pairwise interior-disjoint subintervals of total length below η has total endpoint increments below ε; taking a single interval also gives continuity.

[F3]

Absolutely continuous functions have integrable derivatives: under ACω, an absolutely continuous real function has a derivative almost everywhere and that derivative is integrable.

[F4]

Fundamental theorem of calculus for absolutely continuous functions: under ACω and DC, an absolutely continuous F satisfies F(b)−F(a)=∫abF′(t) dt.

[F5]

A Lipschitz function after an absolutely continuous function is absolutely continuous: composing an absolutely continuous function with a Lipschitz function on its image preserves absolute continuity.

[F6]

The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a): for a continuous function on [a,b] differentiable on (a,b), its endpoint increment is f′(c)(b−a) for some c∈(a,b).

[F7]

Continuity and derivatives of positive-base real powers: for every real α, x↦xα is differentiable on (0,∞) with derivative αxα−1; in particular (x−1/2)′=−12x−3/2.

[F8]

The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a): at every point where E is differentiable and h is differentiable at E(t), (h∘E)′(t)=h′(E(t))E′(t).

[F9]

Every continuous function on an interval has a primitive; two primitives differ by a constant; and ∫abf=G(b)−G(a) for any primitive G Continuity and derivatives of positive-base real powers: the primitive of a continuous scalar function evaluates by the oriented integral; applying the power derivative in [F7] to −(1+s)−δ/δ gives ∫0t(1+s)−1−δds=[1−(1+t)−δ]/δ.

[F10]

The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t: (log⁡(1+t))′=1/(1+t) for t>−1.

[A1]

E(0)>0, C≥0, δ>0, and CE(0)<2δ.

[A2]

E′(t)≤C(1+t)−1−δE(t)3/2 for almost every t in the existence interval.

[A3]

The real-analysis suppliers use countable choice ACω (The Axiom of Countable Choice (ACω)) and dependent choice DC (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain); no full axiom of choice is assumed.

[A4]

In the comparison example only, C>0.

Proof

1.1givenF1F2F3F4F5F6F7F8F9A1A2A3algebra

Fix t>0 in the positive component of {s:E(s)>0} containing 0. Since E is absolutely continuous on [0,t], [F2]'s definition applied to a single subinterval gives continuity there; positivity on this component and compactness then give a positive minimum and a finite maximum for E on [0,t]. The derivative of h(x):=x−1/2 is bounded on this range by [F7]. If the range is a singleton then h is constant on it; otherwise [F6] makes h Lipschitz there by the mean value theorem. In either case [F5] makes z:=h∘E absolutely continuous. By [F3], E′ exists almost everywhere, and [F8] gives z′(t)=−12E(t)−3/2E′(t)≥−C2(1+t)−1−δ. The absolutely continuous fundamental theorem [F4] and the primitive evaluation [F9] now give z(t)≥E(0)−1/2−C2δ(1−(1+t)−δ)≥E(0)−1/2−C2δ>0. Taking inverse squares gives the claimed bound wherever E(t)>0 in that component.

2.1step 1.1F2F3F4F5F6F7F8F9A2A3algebra

If E reaches 0, the claimed inequality is immediate at that time. It cannot later become positive: otherwise some connected component (a,b) of {t:E(t)>0} has a at or after a zero and E(a)=0, by continuity from [F2]. For any fixed t∈(a,b) and s∈(a,t), the same compact-interval argument as in step 1.1 makes z absolutely continuous on [s,t]. Integrating with [F4] gives z(t)≥z(s)−C/(2δ). As s↓a, continuity gives E(s)→0 and z(s)→∞, contradicting finite z(t). Thus after a zero E remains zero, and the bound holds throughout I.

3.1givenF7F8F10A1A4algebra∎

For the comparison kernel (1+t)−1, set t∗:=exp⁡ ⁣(2CE(0))−1,E(t):=(E(0)−1/2−C2log⁡(1+t))−2(0≤t<t∗). The denominator is positive on this interval and tends to 0 as t↑t∗. By [F10], [F7], and [F8], differentiation gives E′=C(1+t)−1E3/2, so this solution is unbounded on its existence interval. Therefore the nonintegrable coefficient does not give the uniform bound proved above.

Remarks

No continuation criterion or PDE estimate establishing [A2] is included. The proposition cannot by itself be used as a global stability theorem.

Depends on

Dependency tree · 2 levels

Sources