Conceptual map
- III-10.01Spaces and norms
- III-10.02Operator domains
- III-10.03Meaning of an inverse
- III-10.04Boundedness and theorem tools
- III-10.05Composition and graph cores
1. An operator formula begins with spaces
A symbol such as \(T^{-1}y\) has content only after the domain of \(T\), its range, and the norms on both spaces have been fixed.
Let \(X\) and \(Y\) be normed spaces and \(T:D(T)\subseteq X\to Y\) a linear operator. A full-domain map \(T:X\to Y\) is bounded when a finite constant \(M\) satisfies \(\lVert Tx\rVert_{Y}\le M\lVert x\rVert_{X}\). If \(T\) is injective, the inverse is the map
The composition \(ST\) is defined on \(\{x\in D(T):Tx\in D(S)\}\). Algebraic cancellation involving \(T^{-1}\) is valid only on vectors that belong to \(\operatorname{range}(T)\) and to every subsequent operator domain.
2. Bounded inversion is a lower-bound property
Let \(T:X\to Y\) be bounded and injective. Its inverse on \(\operatorname{range}(T)\) is bounded exactly when a constant \(c>0\) satisfies
If \(X\) is Banach, condition (2) also implies that \(\operatorname{range}(T)\) is closed in \(Y\).
Proof. If \(\lVert T^{-1}\rVert \le M\), then \(\lVert x\rVert=\lVert T^{-1}Tx\rVert \le M\lVert Tx\rVert\), giving (2) with \(c=1/M\). Conversely, (2) gives \(\lVert T^{-1}y\rVert \le c^{-1}\lVert y\rVert\) on the range. If \(Tx_{n}\) converges, (2) makes \(x_{n}\) Cauchy; completeness supplies a limit whose image is the proposed range limit. ∎
3. An injective compact operator with unstable inverse
Take \(X=Y=\ell ^{2}\) and define \(Te_{k}=k^{-1}e_{k}\). Then
The map is bounded, compact, and injective. Yet \(\lVert T^{-1}e_{k}\rVert=k\), so the inverse norm on successively larger coordinate bands diverges. The sequence \(y_{k}=1/k\) belongs to \(\ell ^{2}\), while its formal inverse is the constant sequence and lies outside \(\ell ^{2}\). Thus \(y\) is outside the range in (3).
In an \(N\)-coordinate truncation, the inverse norm is exactly \(N\). Noise \(\delta e_{N}\) in the measured object becomes \(N\delta e_{N}\) after inversion. With \(\delta=10^{-4}\) and \(N=10\),000, a measurement perturbation of size \(10^{-4}\) creates a latent error of size one.
4. Unbounded operators and graph cores
An unbounded operator can still be closed: convergence \(x_{n}\to x\) and \(Tx_{n}\to y\) then implies \(x\in D(T)\) and \(Tx=y\). Its graph norm \(\lVert x\rVert_{T}=\lVert x\rVert_{X}+\lVert Tx\rVert_{Y}\) records both the object and its image. A graph core is a subset dense in \(D(T)\) under this norm.
Convergence \(y_{n}\to y\) in \(Y\) gives no convergence of \(T^{-1}y_{n}\) when the inverse is unbounded. The proof must supply convergence in the range norm or a regularization argument.
5. Implementation, exercises, and sources
For each displayed operator, create a type line containing domain, codomain, norm, range, and boundedness. For a numerical inverse, report the singular-value cutoff and the norm of the regularized inverse. A finite matrix result should be accompanied by its behavior as the discretization dimension grows.
Download the volume verification script →Exercises
- Prove compactness of the diagonal operator in (3) by finite-rank truncation.
- Characterize the range when the diagonal sequence is \(2^{-k}\) and compute the inverse norm on the first \(N\) coordinates.
- Give operators \(S\) and \(T\) for which both are densely defined while \(D(ST)\) is a strict subset of \(D(T)\).
Partial solutions
1. Let \(T_{N}\) retain the first \(N\) diagonal coordinates. It has finite rank and \(\lVert T-T_{N}\rVert=1/(N+1)\), which tends to zero; norm limits of finite-rank operators are compact. 2. The range is {\(y:\sum 4^{k}|y_{k}|^{2}<\infty\)}, and the first-\(N\) inverse norm is \(2^{N}\).
- John B. Conway, A Course in Functional Analysis, Chapters II–III.Bounded operators, closed range, and compactness.
- Walter Rudin, Functional Analysis, Chapters 2, 4.Banach-space operator theorems.
- Heinz W. Engl, Martin Hanke, and Andreas Neubauer, Regularization of Inverse Problems, Chapter 2.Ill-posed inversion and regularization.
6. Audit checkpoint
State every domain, codomain, norm, range, inverse domain, and composition domain. Report whether the inverse is bounded, closed, regularized, or available only in a finite truncation.
7. Scope boundary
The chapter establishes operator-domain discipline for Banach and Hilbert space inverse problems. Operator algebras and general spectral calculus are outside its boundary.