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Multiplicative interior Harnack for geometric Schrödinger solutions
Statement
Work in ZFC. Let be an integer, let be a smooth -dimensional Riemannian manifold, and identify an open coordinate neighborhood with the Euclidean ball , where . All balls and coefficient norms below are in these coordinates. The Laplace–Beltrami operator has sign convention , equivalently the metric trace of the Levi-Civita Hessian, using the same pointwise expression for functions. Let be bounded, with no measurability assumption, and let be nonnegative and satisfy pointwise. Put , and . Suppose , and satisfy , and at every point, for all . Then
where depends only on , and . This includes and the identically zero solution.
Facts & Assumptions
Given: The pointwise data and bounds in the Statement. Work in ZFC, including math:def-axiom-of-choice, as required by the analytic supplier and its formulation inputs; no additional choice is used by the local coordinate calculation.
The Riemannian metric is as in Riemannian metric and riemannian manifold. The smooth-function gradient formula is Riemannian gradient, the smooth-vector-field divergence density formula is Coordinate formula for riemannian divergence, and the trace-of-Hessian Laplacian with the stated sign is Laplace–Beltrami operator as the trace of the Hessian. Their extension to the function in this item is justified in step 1.1; no exterior topology or smoothness of is assumed.
Use the affine-map case of The chain rule for total derivatives: D(g∘ f)(a)=Dg(f(a))∘ Df(a) to differentiate and its compositions, where and . The rescaling is calculated pointwise below, so it does not require a substitution theorem for a nonmeasurable integrand.
Measurability means the Borel/Lebesgue convention of Borel measurable and Lebesgue measurable functions on ℝⁿ, with coefficients extended by zero outside their open balls. Use the real Sobolev space from Integer-order Sobolev spaces and their norms. For , Divergence on a bounded C1 Euclidean domain applies to vector fields on a neighborhood of a closed Euclidean ball. In particular a field vanishing near its boundary has zero integrated divergence. This will supply both the weak derivative identities and the weak equation in step 5.1.
Imported unit-ball Harnack inequality with bounded potential supplies the homogeneous unit-ball Harnack theorem in dimension : a real measurable symmetric matrix with and a measurable potential give for every nonnegative real weak solution of . Its weak identity is against all real tests with Lebesgue integrals. The supplier records the independent Simon source, its exact coefficient specialization and reading limits; the underlying iteration theorem is imported, not reproved here.
Proof
Given: The data of the Statement and [F1]–[F4].
Goal: The stated multiplicative comparison with only the displayed parameter dependence.
Proof technique: direct.
At any coordinate point , replace by the quadratic polynomial having its value, first derivatives and second derivatives at . The metric trace of the Levi-Civita Hessian uses only these data: in coordinates its Hessian entries are . Apply the smooth formulas in [F1] to this polynomial. The coordinate expression also uses only these same derivatives through order two, so the polynomial and give equal values on both sides at . Thus throughout the ball at the stated regularity. Multiplying the pointwise equation by gives , with repeated indices summed. Here is smooth and symmetric.
Set , an open set, and define on and off . On this coefficient is continuous and equals by the given equation; hence everywhere. Its zero extension is Borel: on the open set it is continuous, and on the complementary closed set it is constant, so preimages of open subsets of are Borel. At points where , the pointwise equation gives . Consequently everywhere, including those points, and pointwise. In particular is continuous even though need not be continuous. This construction includes and makes no assertion that the originally given is measurable.
Fix and set , and on . The chain rule gives and . Thus pointwise. The matrix is smooth, symmetric and at least , and . The potential is Borel and satisfies , with this fixed bound independent of . Because is compactly contained in , and are respectively and smooth on a neighborhood of .
If , put , , and . If , put and, on the two-dimensional unit disk, set , and . In this latter case and the equation of step 3.1 gives , exactly on the disk. In either case , , is near the closed disk or ball, is smooth symmetric with , and is Borel with . Since , the entrywise bound holds in both cases; for the lifted matrix its sum is at most . No one-dimensional version of the imported theorem is assumed.
The function and its classical first derivatives are bounded on and therefore square integrable. For every real , the field is and vanishes near the boundary. Applying [F3] to its divergence gives , so these classical derivatives are weak derivatives and . Likewise the field is and vanishes near the boundary. Its divergence integrates to zero; the pointwise equation in step 4.1 and the product rule give . The products are measurable and integrable; indeed is continuous. These are precisely the weak-solution hypotheses of [F4]. Therefore [F4] gives the comparison on with the same constant for every .
Since is continuous, its essential supremum and infimum on the open half-ball equal its ordinary supremum and infimum: any strict pointwise violation of an essential bound persists on a nonempty open ball, which has positive Lebesgue measure. For this directly gives for all . For , restrict the resulting pointwise comparison to the pairs in the half-disk; these range over all . Thus in all cases for , where depends only on the asserted parameters. Every pair in lies in some such smaller half-ball, so the same pairwise comparison holds throughout . Taking the supremum in and then the infimum in proves the Statement.
Depends on
- Riemannian metric and riemannian manifold
- Laplace–Beltrami operator as the trace of the Hessian
- Riemannian gradient
- Coordinate formula for riemannian divergence
- The chain rule for total derivatives: D(g∘ f)(a)=Dg(f(a))∘ Df(a)
- Divergence on a bounded C1 Euclidean domain
- Borel measurable and Lebesgue measurable functions on ℝⁿ
- Integer-order Sobolev spaces and their norms
- The Axiom of Choice
- Imported unit-ball Harnack inequality with bounded potential
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