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---
title: Hellinger–Toeplitz Theorem
parent: Unbounded Operators
nav_order: 10
description: >
The Hellinger–Toeplitz Theorem states that an everywhere-defined symmetric
operator on a Hilbert space is bounded. We give a proof using the Uniform
Boundedness Theorem. We give another proof using the Closed Graph Theorem.
---
# {{ page.title }}
Conventions:
{: .mb-0 }
- Hilbert spaces are complex.
- The inner product is anti-linear in its first argument.
- Operators are linear and possibly unbounded.
Recall that an operator $T : D(T) \to \hilb{H}$ in a Hilbert space $\hilb{H}$
is called *symmetric*, if is has the property
$$
\innerp{Tx}{y} = \innerp{x}{Ty} \quad \forall x,y \in D(T).
$$
{% theorem * Hellinger–Toeplitz Theorem %}
An everywhere-defined symmetric operator on a Hilbert space is bounded.
{% endtheorem %}
Consequently, a symmetric Hilbert space operator
that is (truly) unbounded
cannot be defined everywhere.
---
## Proof using the Uniform Boundedness Theorem
Assume that $T$ is not bounded.
Then there exists a sequence $(x_n)$ of unit vectors in $\hilb{H}$
such that $\norm{Tx_n} \to \infty$.
Consider the sequence $(f_n)$ of linear functionals on $\hilb{H}$,
defined by
$$
f_n(y) = \innerp{Tx_n}{y} = \innerp{x_n}{Ty} \quad y \in \hilb{H}.
$$
The second identity is due to the symmetry of $T$.
Apply Cauchy-Schwarz to both expressions to obtain the inequalities
$$
\abs{f_n(y)} \le \norm{Tx_n} \norm{y}
\quad \text{and} \quad
\abs{f_n(y)} \le \norm{x_n} \norm{Ty}
$$
for each $n \in \NN$ and $y \in \hilb{H}$.
The first inequality shows that the functionals $f_n$ are bounded.
The second one shows that, for fixed $y$,
the sequence $(\abs{f_n(y)})$ is bounded by $\norm{Ty}$,
since $\norm{x_n} = 1$ for all $n$.
By the [Uniform Boundedness Theorem]({% link
pages/functional-analysis-basics/the-fundamental-four/uniform-boundedness-theorem.md
%}), $(\norm{f_n})$ is a bounded sequence.
One has
$$
\norm{Tx_n}^2 = \abs{f_n(Tx_n)} \le \norm{f_n} \norm{Tx_n} \quad n \in \NN.
$$
Divide by $\norm{Tx_n}$ (if nonzero)
to obtain $\norm{Tx_n} \le \norm{f_n}$ for all but finitely many $n$.
Thus $(\norm{Tx_n})$ is a bounded sequence,
contradicting $\norm{Tx_n} \to \infty$.
---
## Proof using the Closed Graph Theorem
By the [Closed Graph Theorem]({% link
pages/functional-analysis-basics/the-fundamental-four/closed-graph-theorem.md %}),
it is sufficient to show that the graph of $T$ is closed.
Let $(x_n)$ be a convergent sequence of vectors in $\hilb{H}$
such that the image sequence $(Tx_n)$ converges as well.
Naming the limits $x$ and $z$, respectively, we have
$$
x_n \to x
\quad \text{and} \quad
Tx_n \to z.
$$
Continuity of the inner product implies
$$
\innerp{x_n}{Ty} \to \innerp{x}{Ty}
\quad \text{and} \quad
\innerp{Tx_n}{y} \to \innerp{z}{y}
$$
for all $y \in \hilb{H}$.
Since $T$ is symmetric,
the first assertion can be rewritten as
$$
\innerp{Tx_n}{y} \to \innerp{Tx}{y}.
$$
A sequence of complex numbers has at most one limit,
hence $\innerp{Tx}{y} = \innerp{z}{y}$ for all $y$.
By the Riesz representation theorem, $Tx=z$.
|
