If Bounded Operators Converge Pointwise, Are Their Norms Bounded?
At a glance
- 1. Check the domain
The domain must be a Banach space for the standard uniform boundedness theorem to apply.
- 2. Use pointwise convergence
For each input, convergence implies the sequence of output values is bounded.
- 3. Apply Baire’s theorem
The uniform boundedness principle turns pointwise boundedness into a common operator-norm bound.
- 4. Check the limit
The pointwise limit is a bounded linear operator, but convergence need not be in operator norm.
Suppose is a sequence of bounded linear operators from a Banach space into a normed space . If converges in for every , then the operator norms are uniformly bounded:
This is an application of the uniform boundedness principle, also called the Banach–Steinhaus theorem. The key assumption is that the domain is complete. The codomain need not be complete.
Why pointwise convergence is enough
For each fixed , convergence of the sequence implies that its values are bounded. Thus
This is pointwise boundedness. The uniform boundedness principle says that for bounded linear operators on a Banach space, pointwise boundedness forces a single bound that works for every operator norm. The bound does not depend on or on .
The statement is about boundedness of the sequence in operator norm; it does not say that converges in operator norm.
Proof using the Baire category theorem
For each positive integer , define
Each is closed, since it is the intersection over of the closed sets . Pointwise boundedness also gives : for any fixed , some integer bounds all the values .
Because is Banach, the Baire category theorem implies that at least one has nonempty interior. So for some and , the open ball lies in . Since itself is in , whenever we have
for every . Take any with and put . Then , so
for every and every unit vector . Taking the supremum over unit vectors gives for all . Hence the operator norms are uniformly bounded.
A pointwise limit is also bounded
If converges to for every , then the limit map is linear, because each is linear and limits preserve addition and scalar multiplication. The uniform bound also shows that is bounded. If for every , then
Thus is a bounded linear operator and .
Example: pointwise convergence does not imply norm convergence
On the Hilbert space , let keep the first coordinates and set all later coordinates to zero. For any , the sequence converges to in , since the tail of a square-summable sequence tends to zero. Also, for every .
Nevertheless, does not converge to the identity operator in operator norm. For every , the operator keeps the tail, and applying it to the unit vector with a in coordinate gives a vector of norm . Therefore for every . This illustrates the distinction: the norms of the operators stay bounded, but pointwise convergence need not be uniform over the unit ball.
Why completeness matters
Without a Banach domain, the conclusion can fail. Let , the space of finitely supported sequences, with the norm. Define by . Each is bounded and has norm , since the coordinate functional has norm . Yet for every , for all sufficiently large , so . The operator norms are unbounded because is not complete in the norm.
Common mistakes
- Omitting the Banach-space assumption: Pointwise convergence alone is not enough on an arbitrary normed domain.
- Confusing pointwise and norm convergence: Pointwise convergence concerns each fixed input; operator-norm convergence requires uniform control over the unit ball.
- Assuming the limit is bounded without justification: Once the uniform bound is established, passing to the pointwise limit proves boundedness of the limit operator.
References
- Walter Rudin, Functional Analysis
- Erwin Kreyszig, Introductory Functional Analysis with Applications
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