On the monotonicity of spatial critical points evolving under curvature-driven flows
G. Domokos

TL;DR
This paper investigates how the number of spatial critical points of smooth curves and surfaces changes under curvature-driven flows, showing monotonic behavior under certain conditions and extending previous results to stochastic settings.
Contribution
It proves monotonicity of critical points for curvature flows with specific speed dependencies and generalizes prior results to stochastic cases for surfaces in 3D.
Findings
Number of critical points decreases when speed derivative w.r.t. curvature is positive.
Number of critical points increases when speed derivative w.r.t. curvature is negative.
Results suggest natural processes tend to reduce static equilibrium points.
Abstract
We describe the variation of the number of spatial critical points of smooth curves (defined as a scalar distance from a fixed origin ) evolving under curvature-driven flows. In the latter, the speed in the direction of the surface normal may only depend on the curvature . Under the assumption that only generic saddle-node bifurcations occur, we show that will decrease if the partial derivative is positive and increase if it is negative (Theorem 1). Justification for the genericity assumption is provided in Section 5. For surfaces embedded in 3D, the normal speed under curvature-driven flows may only depend on the principal curvatures . Here we prove the weaker (stochastic) Theorem 2 under the additional assumption that third-order partial derivatives can be approximated by random variables with zero expected value and…
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