# Lipschitz stability estimate and reconstruction of Lam\'e parameters in linear elasticity

## TL;DR

This paper establishes a Lipschitz stability estimate for recovering isotropic elastic parameters from boundary measurements in linear elasticity and proposes a numerical iterative reconstruction method with numerical examples.

## Contribution

It provides the first Lipschitz stability estimate for Lamé parameters under certain regularity and monotonicity assumptions, along with a practical reconstruction algorithm.

## Key findings

- Lipschitz stability estimate proven for Lamé parameters
- Numerical reconstruction algorithm developed and tested
- Numerical examples demonstrating effectiveness

## Abstract

In this paper, we consider the inverse problem of recovering an isotropic elastic tensor from the Neumann-to-Dirichlet map. To this end, we prove a Lipschitz stability estimate for Lam\'e parameters with certain regularity assumptions. In addition, we assume that the Lam\'e parameters belong to a known finite subspace with a priori known bounds and that they fulfill a monotonicity property. The proof relies on a monotonicity result combined with the techniques of localized potentials. To numerically solve the inverse problem, we propose a Kohn-Vogelius-type cost functional over a class of admissible parameters subject to two boundary value problems. The reformulation of the minimization problem via the Neumann-to-Dirichlet operator allows us to obtain the optimality conditions by using the Fr\'echet differentiability of this operator and its inverse. The reconstruction is then performed by means of an iterative algorithm based on a quasi-Newton method. Finally, we give and discuss several numerical examples.