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An evolutionary vector-valued variational inequality and Lagrange multiplier

Davide Azevedo, Lisa Santos

TL;DR

This work analyzes evolutionary vector-valued variational inequalities under a pointwise constraint $|oldsymbol u|\le 1$, establishing that the VI can be recast as a Lagrange multiplier system with $\lambda\in L^p(Q_T)$ and $(\lambda-1)(|\boldsymbol u|-1)=0$. An approximation scheme using a monotone operator $\widehat{k}_{\varepsilon\delta}$ yields a unique $\boldsymbol u_{\varepsilon\delta}$, and ε-independent a priori estimates allow passage to the limit $\varepsilon\to0$ to obtain a unique pair $(\lambda_\delta,\boldsymbol u_\delta)$ solving the Lagrange multiplier system $\partial_t\boldsymbol u_\delta-\Delta\boldsymbol u_\delta+\lambda_\delta\boldsymbol u_\delta=\boldsymbol f$ with $\boldsymbol u_\delta(0)=\boldsymbol u_0$ and boundary conditions, along with the complementarity conditions $\lambda_\delta\ge\delta$, $(\lambda_\delta-\delta)(|\boldsymbol u_\delta|-1)=0$. The paper then proves continuous dependence of $(\lambda_\delta,\boldsymbol u_\delta)$ on data, showing convergence for data sequences and providing stability estimates. These results extend VI theory to a vector-valued, constrained, evolutionary setting and connect with elastic-plastic torsion-type models via the multiplier formulation.

Abstract

We prove existence and uniqueness of solution of an evolutionary vector-valued variational inequality defined in the convex set of vector valued functions $\boldsymbol v$ subject to the constraint $|\boldsymbol v|\le1$. We show that we can write the variational inequality as a system of equations on the unknowns $(λ,\boldsymbol u)$, where $λ$ is a (unique) Lagrange multiplier belonging to $L^p$ and $\boldsymbol u$ solves the variational inequality. Given data $(\boldsymbol f_n,\boldsymbol u_{n0})$ converging to $(\boldsymbol f,\boldsymbol u_0)$ in $\boldsymbol L^\infty(Q_T)\times H^1_0(Ω)$, we prove the convergence of the solutions $(λ_n,\boldsymbol u_n)$ of the Lagrange multiplier problem to the solution of the limit problem, when we let $n\rightarrow \infty$.

An evolutionary vector-valued variational inequality and Lagrange multiplier

TL;DR

This work analyzes evolutionary vector-valued variational inequalities under a pointwise constraint , establishing that the VI can be recast as a Lagrange multiplier system with and . An approximation scheme using a monotone operator yields a unique , and ε-independent a priori estimates allow passage to the limit to obtain a unique pair solving the Lagrange multiplier system with and boundary conditions, along with the complementarity conditions , . The paper then proves continuous dependence of on data, showing convergence for data sequences and providing stability estimates. These results extend VI theory to a vector-valued, constrained, evolutionary setting and connect with elastic-plastic torsion-type models via the multiplier formulation.

Abstract

We prove existence and uniqueness of solution of an evolutionary vector-valued variational inequality defined in the convex set of vector valued functions subject to the constraint . We show that we can write the variational inequality as a system of equations on the unknowns , where is a (unique) Lagrange multiplier belonging to and solves the variational inequality. Given data converging to in , we prove the convergence of the solutions of the Lagrange multiplier problem to the solution of the limit problem, when we let .
Paper Structure (4 sections, 7 theorems, 74 equations)

This paper contains 4 sections, 7 theorems, 74 equations.

Key Result

Theorem 1.1

Given $\boldsymbol f\in\boldsymbol L^\infty(Q_T)$ and $\boldsymbol u_0\in\mathbb{K}$, the variational inequality vi has a unique solution

Theorems & Definitions (14)

  • Theorem 1.1
  • Theorem 1.2
  • Proposition 2.1
  • Proposition 2.2
  • proof
  • Proposition 2.3
  • proof
  • Proposition 2.4
  • proof
  • proof
  • ...and 4 more