Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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Bootstrap closure and nonlinear stability boundaries — model 1

Example

Let E:[0,Tmax⁡)→[0,∞) be continuous, let E0≥0, C>0, ϵ>0 and δ>0 be dimensionless, and suppose for every finite t<Tmax⁡ that

E(t)≤E0+Cϵ∫0t(1+s)−1−δE(s) ds.

Use the dimensionless thresholds A,ϵ,η in the cited continuation contract, with 2Aϵ2<η. Then

E(t)≤E0exp⁡ ⁣(Cϵδ[1−(1+t)−δ])≤E0eCϵ/δ.

Use the positive dimensionless thresholds A, ϵ and η of the continuation contract below, with 2Aϵ2<η. If E0eCϵ/δ<Aϵ2, this scalar estimate gives the strict improvement required by that contract. It supplies no Einstein decay estimate; an application must prove this integral inequality and its continuation margins separately.

Example references

Facts & Assumptions

Given: The inequality in the Example on every compact interval; E0≥0; C,ϵ,δ>0; and dimensionless time t≥0.

[F1]

Gronwall's integral inequality with variable and constant coefficients: if continuous u,a,b on [0,T] satisfy u,b≥0 and u(t)≤a(t)+∫0tb(s)u(s) ds, then for nondecreasing a, u(t)≤a(t)exp⁡(∫0tb).

[F2]

Real powers for positive bases, with the zero-base positive-exponent convention: for a positive base x, xα=exp⁡(αlog⁡x) for every real α.

[F3]

Continuity and derivatives of positive-base real powers: on x>0, (xα)′=αxα−1.

[F4]
[F5]

The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a): for differentiable G on a compact interval with integrable derivative, ∫abG′(s) ds=G(b)−G(a).

[F7]

The exponential function is strictly increasing: exp⁡ is strictly increasing on R.

[F8]

The real exponential function and the number e by a power series: the power-series definition gives exp⁡(0)=1.

[F9]

A quantitative continuation and bootstrap contract: fix an evolution problem and solution class, a continuous nonnegative dimensionless energy E of a solution, constants A,ϵ,η>0 with 2Aϵ2<η, and finitely many margin functions mj:[0,Tmax⁡)→R with thresholds μj>0. The separately supplied continuation criterion extends a finite-endpoint solution in the same class whenever E≤η and every mj≥μj throughout its interval. A solution is maximal if no agreeing extension past its finite right endpoint exists in that class.

[F10]

Open-closed bootstrap continuation: for a maximal solution satisfying [F9]'s continuation contract, an improvement E≤2Aϵ2⇒E≤Aϵ2 on every finite [0,T] with T<Tmax⁡, from E(0)<Aϵ2, closes the bound; if every listed margin persists throughout [0,Tmax⁡), then Tmax⁡=∞.

Verification

1.1givenF1algebra

On any finite [0,T], set u=E, a(t)=E0 and b(t)=Cϵ(1+t)−1−δ. These functions satisfy [F1]'s continuity and nonnegativity hypotheses, and a is nondecreasing. Therefore E(t)≤E0exp⁡ ⁣(Cϵ∫0t(1+s)−1−δ ds).

2.1step 1.1F2F3F4F5F6F7F8algebra

For t=0 the integral is zero. For t>0, the function G(s)=−δ−1(1+s)−δ has derivative G′(s)=(1+s)−1−δ by [F3] and [F4]; G′ is continuous on [0,T]. Applying [F5] gives ∫0t(1+s)−1−δ ds=δ−1[1−(1+t)−δ]. By [F2] and [F6], (1+t)−δ>0, so the exponent q(t):=Cϵδ[1−(1+t)−δ] satisfies q(t)≤Cϵ/δ. By [F7], exp⁡(q(t))≤exp⁡(Cϵ/δ); since Cϵ/δ>0, [F7] and [F8] give exp⁡(Cϵ/δ)>1. As E0≥0, these inequalities prove both displayed bounds and E0≤E0exp⁡(Cϵ/δ).

3.1givenF9F10step 2.1algebra∎

If additionally E0eCϵ/δ<Aϵ2, the bound in step 2.1 implies E(t)<Aϵ2 on every finite [0,T] with T<Tmax⁡ and E(0)≤E0<Aϵ2. Thus the strict improvement required by [F9] holds whenever its hypothesis E≤2Aϵ2 holds. For a continuation application, assume in addition that this E is the normalized energy of a maximal solution of a fixed evolution problem in the solution class of [F9], that the problem satisfies the stated finite-endpoint continuation criterion, and that mj(t)≥μj for every listed j and every t<Tmax⁡. All hypotheses of [F10] now hold, so Tmax⁡=∞. These solution, continuation and margin hypotheses are separate inputs, not consequences of the scalar inequality.

Depends on

Dependency tree · 2 levels

Sources