So if you have been following the argument a bit, it turns out that
is the starting at time t = 1 transition probability propagator of a probability distribution, say at t=0, in the interval x = 0 to 1. A question that I tried to answer was how zeros are propagated via the propagator or at the probability distribution, which lead to theorems that I dubbed "Shadow Casting" because, under that context, it turns out that a zero, if found on the propagator, remained in place until infinity, and via the propagator it appears on the probability distribution we want to propagate as well (therefore casting a "shadow"). I hadn't thought of the following approach until recently, and I haven't worked it out completely, but it connects to the theory of Ordinary Differential Equations which seems interesting to me. Here's the argument:
Suppose we focus on for the time being, and wish to find the zeros on the transition probability surface. Thus we seek and suppose is an implicit function of . We have
Now let is a collection derived from , so that, for example,
and I think we have successfully created a link to ODEs. To find the zeros on the surface (and other time surfaces of the propagator) we stick in the correct and solve, using the familiar methods (solve the homogeneous equation and the particular solution via sin-cos-exponential solutions, variation of parameters, power series, etc.).
I'm working out the specificities, for example including the constraints we know on or . Perhaps this approach will help us broaden the spectrum of differential equations we can solve, by linking via Shadow Casting.
It may seem basic, but I think there is some untapped power here.
Additionally, I have been working on clarifying some thoughts on polynomials that converge in area in the interval from 0 to 1, but all those details tend to be a bit drab and I keep having trouble focusing. Nevertheless, there is a lot of clarity that I have been able to include, and it is now in the newest draft of "Compendium". By the way, I renamed it. It is now "Compendium of Claims and Proofs on How Probability Distributions Transform". There's still soooo much more to do.
Here it is! part-i-v28