DETERMINATION OF INITIAL STATES OF PARABOLIC-SYSTEMS FROM DISCRETE-DATA

The authors investigate the problem of recovering the initial states of distributed parameter systems, governed by linear parabolic partial differential equations, from finite approximate data. It is shown that an approximation of the true initial state can be obtained from the solution of an appropriate finite-dimensional algebraic linear system and that this approximation depends continuously on the observed data. Error estimates are also obtained.