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Physics theoremStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck passverified 2026-11-05 (gpt-6.1-sol)
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Local persistence of an uplifted minimum in a finite-dimensional scalar EFT

Physical scope

Conditional theorem for a finite-dimensional canonical-scalar chart of a two-derivative four-dimensional Einstein-frame EFT. It does not identify the positive profile with an anti-D3, T-brane, D-term, or localized string source and does not bound omitted corrections.

Statement

Use natural units ℏ=c=1 and one four-dimensional Einstein-frame normalization. Let n≥1, let x∈Rn be canonical real scalar coordinates of mass dimension one, and let Br(x0)={x:∥x−x0∥2≤r} with r>0. Let U⊂Rn be open with Br(x0)⊂U, and let V0,f∈C2(U), where V0 has units of energy density and f is a dimensionless real source profile. Write In for the identity matrix, A⪰B when vT(A−B)v≥0 for every v∈Rn, and ∥A∥op:=sup⁡∥v∥2=1∥Av∥2 for the Euclidean operator norm. Suppose ∇V0(x0)=0, D2V0(x)⪰μIn on the whole ball for μ>0, f(x)≥fmin⁡>0, ∥D2f(x)∥op≤L, and osc⁡Brf:=sup⁡Brf−inf⁡Brf≤C for L,C≥0. For a source coefficient D≥0 with energy-density units, put VD=V0+Df. If DL<μ and DC<μr2/2, then VD has a unique interior minimizer xD in Br(x0). If also V0(x0)+Dfmin⁡>0, then VD(xD)>0. This is a conditional result about the stipulated finite-dimensional EFT potential, not a derivation of a source profile or a claim that a string compactification realizes it.

Facts & Assumptions

Given: A finite-dimensional canonical Euclidean scalar chart, a closed ball of positive radius, and the hypotheses in the Statement.

[F1]

Compactification-specific uplift source data in a 4D moduli EFT defines a source contribution ΔVsrc=Df with a real coefficient and profile, fixed in the same four-dimensional Einstein-frame normalization as the base potential. It assigns no universal volume scaling.

[F2]

Canonical moduli mass matrix and EFT scale-control data defines finite-dimensional retained scalar EFT data and requires any physical mass/cutoff comparison to use the actually present omitted spectrum in one common Einstein frame. This theorem makes no mass/cutoff comparison and uses only the definition's finite scalar EFT interface.

[F4]

A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value: a continuous real-valued function on a nonempty compact metric space attains its maximum and minimum. We use only attainment of VD on Br(x0).

[A1]

The Euclidean norm and Hessian operator norm in the Statement use the canonical local scalar metric. In these units μ has mass dimension two, L has inverse-mass-squared dimension, C is dimensionless, and both DL and μ have mass dimension two while DC and μr2 have mass dimension four.

[A2]

The bounds on f, D2f, and osc⁡f hold uniformly on the entire closed ball, not just at its center.

Proof

Given: [F1]–[F4], the regularity and uniform bounds [A1]–[A2], and the strict inequalities in the Statement.

1.1givenF1F2F3F4A1algebra

By [F1], Df is the declared source contribution in the same Einstein-frame potential; [F2] places the scalar chart in the finite retained EFT, and neither supplier adds hypotheses to the analytic estimates. The closed ball is compact by [F3] and nonempty because it contains x0. Since VD=V0+Df is continuous on the ball, [F4] gives xD∈Br(x0) at which VD attains its minimum.

1.2givenA1A2algebra

For any x∈Br(x0), the segment γ(t)=x0+t(x−x0) stays in the ball by convexity. The function g(t)=V0(γ(t)) satisfies g′(0)=0 and g′′(t)=(x−x0)TD2V0(γ(t))(x−x0)≥μ∥x−x0∥22. Integrating twice on [0,1] yields V0(x)≥V0(x0)+μ2∥x−x0∥22.

1.3givenA1A2algebra

For each vector v∈Rn and x in the ball, vTD2f(x)v≥−∥D2f(x)∥op∥v∥22≥−L∥v∥22. Hence D2VD(x)=D2V0(x)+DD2f(x)⪰(μ−DL)I≻0. So VD is strictly convex on the convex ball and can have at most one minimizer there.

2.1givenA2step 1.1step 1.2step 1.3algebra

If ∥x−x0∥2=r, then [A2] gives f(x)−f(x0)≥−C. Using step 1.2 and D≥0, VD(x)−VD(x0)≥μr22−DC>0. The boundary therefore has strictly larger value than the center. The minimizer from step 1.1 cannot lie on the boundary, so it is interior; by strict convexity from step 1.3 it is unique.

3.1givenstep 1.2algebra∎

Applying step 1.2 to xD gives V0(xD)≥V0(x0). Since f(xD)≥fmin⁡ and D≥0, VD(xD)=V0(xD)+Df(xD)≥V0(x0)+Dfmin⁡. Under the final positivity hypothesis in the Statement this is strictly positive.

Remarks

The extra dependency Heine-Borel in Rn: with the Euclidean metric a subset of Rn is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line supplies compactness of the closed Euclidean ball; the extreme-value supplier alone assumes compactness and does not establish it. No step uses the diagrammatic shape of the basin or any empirical observation.

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