Finite moment repair #
This file proves the finite-dimensional algebra behind the manuscript's moment repairs. Nonsingularity is an explicit hypothesis for an arbitrary family of moment functionals and correction profiles. It is proved separately for a two-row weighted point-evaluation matrix. No assertion about the existence of smooth bumps or the conditioning of their moment matrices is implicit here.
The vector of prescribed linear moments.
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- NavierStokes.MomentRepair.moments L u i = (L i) u
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A finite correction assembled from fixed profiles.
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- NavierStokes.MomentRepair.synthesize b c = ∑ j : ι, c j • b j
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Each column records the moments of one correction profile.
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- NavierStokes.MomentRepair.momentMatrix L b i j = (L i) (b j)
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Coefficients obtained using the actual matrix inverse.
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Add a finite correction which targets an arbitrary vector of moments.
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- One or more equations did not get rendered due to their size.
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Exact moment matching follows from nonsingularity, with no smallness needed.
An arbitrary correction attaining the target has the computed coefficients.
The repair is idempotent for fixed target moments.
Correction cannot change the function where every correction profile vanishes.
A common support set is preserved by finite moment repair.
Ordered nodes and positive weights genuinely imply nonsingularity in two rows.
The fixed-point iteration used to solve B c + Q c = d.
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- NavierStokes.MomentRepair.correctionIteration B Q d c = B.symm (d - Q c)
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The quantitative hypotheses in Lemma 3.7 make the correction ball invariant.
On the correction ball the iteration has Lipschitz constant at most 1/2.
The existence and local uniqueness part of the manuscript's quadratic moment adjustment, proved by Banach's fixed-point theorem. The hypotheses are explicit inverse and quadratic remainder bounds. Smooth dependence on extra parameters is not asserted.