Non-strict sparse coupling conjecture for weak Markov blankets
Non-strict sparse coupling conjecture for weak Markov blankets
Let be the Jacobian of a multiscale, coupled random dynamical system, with state components and , and let denote its Hessian form. A weak Markov blanket allows the relevant cross-directional interactions to be absent for most component pairs and at some timescale, rather than for every degree of freedom. Non-strict sparse coupling conjecture. Consider a class of systems where the flow in at least one direction is decoupled so that the system has a weak Markov blanket, namely,
and
for most or pairs. Then all sufficiently high-dimensional, multiscale, coupled random dynamical systems that admit a stationary solution admit a stationary solution satisfying this property at some timescale. Consequently, physical systems possessing a steady state that do not satisfy this property anywhere at steady state should form a measure-zero set relative to those that do.
Sources & referencesView supporting material
Primary source
Dalton A R Sakthivadivel, “Weak Markov Blankets in High-Dimensional, Sparsely-Coupled Random Dynamical Systems”, arXiv:2207.07620 (2022).
Progress summary
Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.
Solutions 0
Sign in to submit a solution.
No solutions have been posted yet.