Von Neumann's inequality

In operator theory, von Neumann's inequality, due to John von Neumann, states that, for a fixed contraction T, the polynomial functional calculus map is itself a contraction.

Formal statement

For a contraction T acting on a Hilbert space and a polynomial p, then the norm of p(T) is bounded by the supremum of |p(z)| for z in the unit disk."

Proof

The inequality can be proved by considering the unitary dilation of T, for which the inequality is obvious.

Generalizations

This inequality is a specific case of Matsaev's conjecture. That is that for any polynomial P and contraction T on [math]\displaystyle{ L^p }[/math]

[math]\displaystyle{ ||P(T)||_{L^p\to L^p} \le ||P(S)||_{\ell^p\to\ell^p} }[/math]

where S is the right-shift operator. The von Neumann inequality proves it true for [math]\displaystyle{ p=2 }[/math] and for [math]\displaystyle{ p=1 }[/math] and [math]\displaystyle{ p=\infty }[/math] it is true by straightforward calculation. S.W. Drury has shown in 2011 that the conjecture fails in the general case.

See also

• Crouzeix's conjecture