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Compact flux saturation and pointwise density rigidity

Statement

Assume countable choice ACω.

Let S be a compact connected oriented smooth surface without boundary, dμ a smooth positive measure, and e,b continuous real functions. Here a smooth positive measure has a smooth strictly positive density in every coordinate chart. If ∫S1 dμ=4π, ∫Se dμ=4π, and ∫S(e2+b2) dμ≤4π, then e=1 and b=0 everywhere.

Moreover, let qj and q be smooth Riemannian metrics on the fixed oriented compact surface S, with qj→q uniformly in local coordinates, and let smooth real two-forms αj,βj converge uniformly in local coordinates to smooth two-forms α,β. Define ej,bj,e,b by αj=ejdμqj, βj=bjdμqj, α=edμq, and β=bdμq. Then the areas, the integrals of ej and bj, and the integrals of ej2+bj2 with respect to dμqj converge to their corresponding limiting values. In particular this applies to smooth metric convergence and continuous two-form convergence. The result is independent of global causal geometry.

Statement references

Facts & Assumptions

[A1]

Countable choice ACω is assumed. Its uses here are the chart-restriction theorem in [F11] and the Euclidean rectangle-measure theorem in [F12]; no necessity claim is made. The Axiom of Countable Choice (AC_ω)

[F1]

A smooth real two-form on S is a smooth section of ⋀2T∗S. In a surface chart it has the unique expression a dx1∧dx2 with smooth real coefficient a. A smooth differential k-form Local coordinate expression for a differential form

[F2]

The oriented area form is dμq=det⁡q dx1∧dx2 in a positive chart and is nowhere zero. Scalar integration is against the Borel measure associated to its positive density, with chart restriction as in [F11]. Riemannian volume form on an oriented manifold

[F3]

The integral is linear on integrable functions, the nonnegative integral is monotone, and the modulus of an integral is bounded by the integral of the modulus. The Lebesgue integral is linear on L¹(μ) Monotonicity and nonnegative homogeneity of the nonnegative integral The modulus of an integral is bounded by the integral of the modulus

[F4]

A smooth surface without boundary is a smooth manifold of dimension two; its charts have open domains in S and open images in R2. The specified orientation selects positive charts. Compactness means that every open cover of S has a finite subcover, and connectedness means that S has no separation into two disjoint nonempty open sets. Smooth manifolds and their smooth charts Oriented smooth manifolds and oriented charts Open cover, subcover, and compact topological space; a compact subset is a subspace that is compact in its own right Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets

[F5]

A smooth Riemannian metric is a smooth symmetric covariant two-tensor positive definite at every point. For real coefficient functions on a fixed set K, uniform convergence means that for every ε>0 one index J makes ∣fj(x)−f(x)∣<ε for all j≥J and all x∈K. For the local-coordinate convergence here, apply this condition to every metric or form coefficient on each compact subset of a coordinate domain. Riemannian metric and riemannian manifold Uniform convergence, and the topology of uniform convergence: the metric topology of the uniform metric on Y^X and on C(X,Y)

[F6]

At each point of a surface chart, dx1,dx2 are dual to the coordinate tangent basis, and dx1∧dx2 is a basis of the alternating two-covectors. This is a pointwise linear-algebra statement, requiring no smoothness of the alternating covector field. Coordinate differentials form the dual cotangent basis Wedge monomials in a dual basis form a basis

[F7]

A continuous real function on a nonempty compact topological space attains finite extrema; a strictly positive such function therefore has a strictly positive minimum. Continuous images of compact spaces are compact. Closed bounded rectangles in R2 are compact in its usual topology. A continuous image of a compact space is compact; a continuous real-valued map on a nonempty compact space attains a maximum and a minimum; and a continuous bijection from a compact space to a Hausdorff space is a homeomorphism A subset of ℝⁿ with the product topology is compact exactly when it is closed and bounded, the product topology being the Euclidean metric topology

[F8]

The Borel sigma-algebra is generated by the open sets. A continuous map between topological spaces has Borel preimages of Borel sets, so continuous real functions on S are measurable for its Borel measures and also for their completions. The Borel sigma-algebra of a topological space A continuous map has Borel preimages of Borel sets

[F9]

A measurable real function f is integrable exactly when ∫∣f∣ is finite. For a measurable set E and finite C>0, the nonnegative integral of the simple function C1E is Cν(E), including when ν(E) is infinite; for C=0 the integral is zero. In particular ∫S1 dν=ν(S). Integrable real and complex functions, and their integrals The integral of a nonnegative simple function The nonnegative integral agrees with the simple integral on simple functions

[F10]

For nonnegative measurable r and f on a measure space, ∫f d(r dν)=∫fr dν. Integrating against a density agrees with integrating the product

[F11]

A nonnegative Borel density has Borel chart coefficients satisfying the absolute-Jacobian transition law. Under [A1], on a Hausdorff second-countable smooth n-manifold its intrinsic Borel measure satisfies μr(E)=∫x(E)rx dλn for every Borel E contained in a chart x:U→x(U). Here S has these manifold properties by [F4], and n=2. The area density in [F2] has smooth positive coefficient v=det⁡q, hence Borel by [F8], and the density transition law is part of the volume-form construction in [F2]. Thus this theorem supplies μq(E)=∫x(E)v dλ2, and likewise for each qj. For the given smooth positive measure μ, the meaning of its chart density ρx is μ(E)=∫x(E)ρx dλ2; this is the stated measure-density hypothesis, not a new assumption about μ. Pointwise Borel nonnegative densities Intrinsic density measure and its chart restriction

[F12]

Under [A1], every bounded rectangle Q=∏i=12[ai,bi], with ai≤bi, is Borel and has Lebesgue measure λ2(Q)=(b1−a1)(b2−a2)<∞; this is strictly positive if both side lengths are positive. The same formula holds with open faces. This is the box-measure theorem with n=2 and finite real endpoints. A box in ℝⁿ with parameters aᵢ≤ bᵢ is Lebesgue measurable of measure ∏_i<n(bᵢ-aᵢ), whichever of its faces are included

[F13]

For a measure and finitely many measurable sets, the measure of their union is at most the sum of their measures. Finite and countable subadditivity of measures

Proof

Given: Countable choice and the surface, measure, functions, metrics and forms in the statement, with the stated convergence and integral hypotheses.

Goal: Prove pointwise rigidity, well-definedness of the density quotients and convergence of the listed integrals.

Proof technique: direct.

1.1givenF3F7F8F9algebra

For the rigidity assertion S is nonempty because its stated total mass is 4π. By [F7], each continuous real function on S is bounded. More generally, for any finite Borel measure ν on S (or its completion) and bounded continuous real f, [F8] makes f and ∣f∣ measurable. Choose a finite C>0 bounding ∣f∣; [F3] and [F9] give ∫S∣f∣ dν≤∫SC dν=Cν(S)<∞, hence f∈L1(ν). Apply this to the given smooth positive measure μ, whose local densities specify its Borel measure, with μ(S)=∫S1 dμ=4π. Put h=(e−1)2+b2. All functions in this expansion are continuous, bounded and integrable by the preceding argument. Expanding the square and applying linearity gives ∫Sh dμ=∫S(e2+b2) dμ−2∫Se dμ+∫S1 dμ≤0. Nonnegativity gives the reverse inequality, so this integral is zero.

1.2givenF1F2algebra

In a positive chart, write αj=aj dx1∧dx2 and βj=cj dx1∧dx2 using [F1], and put vj=det⁡qj>0. Then ej=aj/vj and bj=cj/vj satisfy the required two-form equalities by [F2]; the same formulas define e,b with v=det⁡q. These smooth local functions agree on overlaps: at each point each is the unique scalar multiplying the same nonzero intrinsic area form to give the specified two-form. Thus the quotients define unique global smooth real functions for arbitrary two-forms on S, without an ambient spacetime.

2.1givenstep 1.1F3F4F7F8F9F11F12algebra

If h(p)>0 at some point, continuity gives a coordinate neighborhood on which h≥c>0. Its coordinate image contains a closed rectangle Q with finite endpoints and strictly positive side lengths, so 0<λ2(Q)<∞ by [F12]. By [F7], Q is compact and the smooth strictly positive chart density ρx of μ has a positive minimum m on Q. The chart preimage R of Q is closed in the open chart domain U; thus R=U∖V for some open V in S, making R Borel by [F8]. By [F11], [F3] and [F9], μ(R)=∫Qρx dλ2≥mλ2(Q)>0. Monotonicity gives ∫Sh dμ≥cμ(R)>0, a contradiction. Hence h=0 everywhere, and its two nonnegative square terms give e=1 and b=0 pointwise.

2.2givenF1F2F4F5F7step 1.2algebra

If S is empty all convergence assertions are immediate; otherwise, around each point choose a positive chart and an open coordinate rectangle whose closed rectangle is contained in the chart image. These open patches cover S, so [F4] gives finitely many of them. Each closed rectangle is compact by [F7], and its inverse chart image is compact by the continuous-image assertion of [F7]. On each closed rectangle, the continuous positive v has a positive minimum by [F7]; all limiting metric and form coefficients are bounded there by the same fact. Uniform convergence of the metric coefficients implies uniform convergence of their determinants, hence vj→v uniformly, with vj eventually bounded away from zero. The assumed coefficient convergence and the formulas of step 1.2 therefore give ej→e and bj→b uniformly on each patch and then on S. The global ratio rj=vj/v=dμqj/dμq converges uniformly to 1. Consequently rj, ejrj, bjrj, and (ej2+bj2)rj converge uniformly to 1, e, b, and e2+b2, respectively.

3.1F2F3F7F8F9F10F11F12F13step 1.1step 2.1step 2.2algebra

The fixed measure μq(S) is finite: on each closed coordinate rectangle Q of the finite cover in step 2.2, [F7] bounds the local density v above by a finite M>0. Its inverse chart image R is Borel as in step 2.1, and [F11], [F12], [F3] and [F9] give μq(R)=∫Qv dλ2≤Mλ2(Q)<∞. These finitely many sets cover S, so finite subadditivity in [F13] gives μq(S)<∞. The functions in the four global pairs in step 2.2 and their differences are continuous, hence bounded and Borel measurable by [F7] and [F8]. The finite-measure argument of step 1.1 makes them integrable for μq and, likewise, for each μqj, whose total mass is finite by the same finite-cover argument. The coordinate identity vj=rjv gives the measure identity dμqj=rjdμq: on each Borel subset of a chart, [F11] and [F10] identify both measures with the integral of rjv=vj against λ2, and a finite disjoint Borel refinement of the chart cover gives the identity globally. For each pair uj,u among the four uniformly convergent pairs in step 2.2, linearity, the integral triangle inequality and monotonicity give ∣∫Suj dμq−∫Su dμq∣≤μq(S)sup⁡S∣uj−u∣→0. Applying [F10] to the nonnegative integrands, and separately to the positive and negative parts of the signed integrands using [F9], rewrites these integrals as area, the two flux integrals and the squared-density integral for μqj. This proves all claimed integral limits.

4.1F2F5F6step 1.2step 2.2step 3.1∎

No derivative of a two-form coefficient was used in steps 1.2–3.1. For continuous two-forms, meaning alternating covector fields with continuous coefficients in smooth coordinate frames, the pointwise basis in [F6] gives unique coefficients aj,cj,a,c; these are continuous by the stated meaning of continuity in a coordinate frame. Division by the smooth positive vj,v gives continuous density quotients, and uniqueness again makes them agree on overlaps. Uniform coefficient convergence therefore gives exactly the same uniform bounds and integral limits. In particular the claimed smooth-metric and continuous-two-form convergence case follows.

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