Documentation

LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section57.FiniteBasis

Coarse-graining support: Support.Book.Ch05.Theorems.Section57.FiniteBasis #

Imported from the Apache-2.0 CoarseGraining development at commit c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.

Finite-basis reduction for the quenched unit-vector maximum #

This file records the deterministic finite-dimensional reduction used in Theorem t.homogenization.quenched: because the normalized block response is a nonnegative quadratic form of the full-block vector, the maximum over unit vectors is controlled by finitely many coordinate and pair probes.

The full-block matrix whose quadratic form is J(Q,\overline A^{-1/2}e,\overline A^{1/2}e).

Equations
  • One or more equations did not get rendered due to their size.
Instances For

    Finite coordinate and pair probes for the limiting-normalized J quadratic on one cube.

    Equations
    • One or more equations did not get rendered due to their size.
    Instances For

      The normalized finite probe sum: coordinate probes are unchanged, while plus/minus pair probes are scaled by 1/2 so their Euclidean square norm is at most one.

      Equations
      • One or more equations did not get rendered due to their size.
      Instances For

        Pointwise finite-basis control for a sampled coefficient field carrying an a.e.-ellipticity witness. This is the simultaneous version needed when the unit-vector supremum is packaged into a Chapter 2 scale response.