Coarse-graining support: Support.Deterministic.CoarsePoincare.Setup.Conversions #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Deterministic coarse-grained Poincare inequalities #
This file packages the first deterministic Chapter-3 q = 1 Poincare step.
At the current checkpoint we keep the one-cube energy estimate as an explicit hypothesis on descendant cube averages. This isolates the honest downstream multiscale summation argument while the fully note-faithful Chapter-2 energy-averaging interface is still being stabilized upstream.
def
HCPolySupport.CubeAverageGradientEnergyControl
{d : ℕ}
(Q : TriadicCube d)
(a : CoeffField d)
(g : Vec d → Vec d)
(energy : Vec d → ℝ)
:
Descendant cube-average control for gradients by the local coarse
σ_*^{-1} block and a scalar energy density.
Equations
- One or more equations did not get rendered due to their size.
Instances For
def
HCPolySupport.CubeAverageFluxEnergyControl
{d : ℕ}
(Q : TriadicCube d)
(a : CoeffField d)
(flux : Vec d → Vec d)
(energy : Vec d → ℝ)
:
Descendant cube-average control for fluxes by the local coarse b block
and a scalar energy density.
Equations
- One or more equations did not get rendered due to their size.
Instances For
theorem
HCPolySupport.responseJ_le_plainUpperBound_of_isEllipticFieldOn
{d : ℕ}
{U : Set (Vec d)}
{a : CoeffField d}
{lam Lam : ℝ}
[MeasureTheory.IsFiniteMeasure (volumeMeasureOn U)]
(hEll : IsEllipticFieldOn lam Lam U a)
(hvol : (MeasureTheory.volume U).toReal ≠ 0)
(p q : Vec d)
: