CutoffResponseJ #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The Section 3 cutoff response observable #
This module defines the source-facing Section 3.5 response observable using
the genuine running diffusivity sigmaBar at the coefficient-cutoff scale.
It evaluates the single measurable representative of the entire coarse block,
so every direction shares one probability-one event.
The final common-event theorem identifies this measurable observable with the
literal manuscript expression
J(square_m, sigmaBar_L^(-1/2)e, sigmaBar_L^(1/2)e; a_L) simultaneously for
every direction e. No direction-dependent measurable modification and no
fallback comparator enters the definition.
References #
- ABK26, (2.4), definition of
J(U,p,q;a). - ABK26, Section 3.5, Proposition
p.homogenization.step.
The measurable Section 3.5 response at cube scale m, coefficient-cutoff
scale L, and direction e, with the comparator fixed to the genuine running
diffusivity sigmaBar_L. It is evaluated from the one common full coarse-block
representative.
Equations
- One or more equations did not get rendered due to their size.
Instances For
For each direction, the source-facing cutoff response is measurable under the genuine cutoff-sample law.
On one probability-one event, simultaneously for every direction, the
measurable source-facing response is exactly the literal manuscript quantity
J(square_m, sigmaBar_L^(-1/2)e, sigmaBar_L^(1/2)e; a_L).
At each fixed cube scale, one probability-one event identifies the entire
integer-indexed family of source-facing responses with the literal manuscript
family, simultaneously for every coefficient-cutoff scale L and every
direction e. Countability is used only for the intersection over L; the
uncountable direction quantifier was already placed inside each fixed-L
event by the common full-block representative.
The source-facing response is nonnegative simultaneously in every direction on one probability-one event. Pointwise nonnegativity off that event is neither asserted nor needed for the measurable representative.