On Minimal Surfaces Through the Lens of Univalent Harmonic Mappings
摘要
From the well-known Weierstrass–Enneper representation, it is clear that a univalent harmonic mapping admits a minimal surface lift if and only if its dilatation is square of an analytic function. Motivated by this characterization, this article explores convex and close-to-convex harmonic mappings under the constraint that their dilatations are squares of analytic functions. We derive coefficient bounds, growth estimates, Baernstein-type integral mean inequalities, and surface area estimates for the minimal surfaces associated with these classes and establish the sharpness of several results.