Quantitative Soft-to-Hard Terminal Constraint Convergence for the Heat Equation
Abstract: We study an optimal control problem for the heat equation with a prescribed terminal state. To circumvent the difficulty of enforcing a hard terminal constraint, we analyze a penalized formulation and prove that the corresponding optimal controls and terminal states converge to the exact constrained solution as the penalty parameter (α\to \infty). We establish explicit quantitative convergence estimates of order (O(α{-θ})), including the sharp (O(1/α)) rate under stronger modal summability assumptions on the terminal mismatch. A finite-dimensional prototype is used to illustrate the underlying projection structure, while numerical illustrations are reported in a companion study.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.