On a new notion of the solution to an ill-posed problem
For researchers working on ill-posed inverse problems, this offers a more practical definition but is incremental as it refines existing concepts.
The paper proposes a new definition of a stable solution to ill-posed problems that excludes unknown exact data and solution, making it more realistic for practical computation. A method for constructing such solutions is justified.
A new understanding of the notion of the stable solution to ill-posed problems is proposed. The new notion is more realistic than the old one and better fits the practical computational needs. A method for constructing stable solutions in the new sense is proposed and justified. The basic point is: in the traditional definition of the stable solution to an ill-posed problem $Au=f$, where $A$ is a linear or nonlinear operator in a Hilbert space $H$, it is assumed that the noisy data $\{f_δ, δ\}$ are given, $||f-f_δ||\leq δ$, and a stable solution $u_\d:=R_\d f_\d$ is defined by the relation $\lim_{\d\to 0}||R_\d f_\d-y||=0$, where $y$ solves the equation $Au=f$, i.e., $Ay=f$. In this definition $y$ and $f$ are unknown. Any $f\in B(f_\d,\d)$ can be the exact data, where $B(f_\d,\d):=\{f: ||f-f_δ||\leq δ\}$.The new notion of the stable solution excludes the unknown $y$ and $f$ from the definition of the solution.