Coarse-graining support: Support.Book.Ch05.Theorems.Section57.ExponentialKernel #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Exponential kernels for the bad-scale summation #
These are pure real-variable summability facts used to sum the fixed-pair probability kernels in the quantitative minimal-scale proof.
The sum of the geometric exponential kernel exp (-k * (ρ ^ η - 1))
over natural indices, used in bad-scale probability summation.
Equations
Instances For
The sum of the exponential kernel weighted by k + 1, accounting for
linear multiplicity in bad-scale probability summation.
Equations
Instances For
theorem
HCPolySupport.Book.Ch05.Section57.geometricExpKernelConst_pos
{ρ η : ℝ}
(hρ : 1 < ρ)
(hη : 0 < η)
:
theorem
HCPolySupport.Book.Ch05.Section57.linearExpKernelConst_pos
{ρ η : ℝ}
(hρ : 1 < ρ)
(hη : 0 < η)
: