Multiplication operator explained

In operator theory, a multiplication operator is an operator defined on some vector space of functions and whose value at a function is given by multiplication by a fixed function . That is,T_f\varphi(x) = f(x) \varphi (x) \quad for all in the domain of, and all in the domain of (which is the same as the domain of).[1]

Multiplication operators generalize the notion of operator given by a diagonal matrix.[2] More precisely, one of the results of operator theory is a spectral theorem that states that every self-adjoint operator on a Hilbert space is unitarily equivalent to a multiplication operator on an L2 space.[3]

These operators are often contrasted with composition operators, which are similarly induced by any fixed function . They are also closely related to Toeplitz operators, which are compressions of multiplication operators on the circle to the Hardy space.

Properties

Tf

on

L2(X)

, where is

\sigma

-finite
, is bounded if and only if is in

Linfty(X)

. In this case, its operator norm is equal to

\|f\|infty

.

Tf

is

T\overline{f}

, where

\overline{f}

is the complex conjugate of . As a consequence,

Tf

is self-adjoint if and only if is real-valued.[4]

Tf

is the essential range of ; outside of this spectrum, the inverse of

(Tf-λ)

is the multiplication operator
T
1
f

.

Tf

and

Tg

on

L2

are equal if and are equal almost everywhere.

Example

Consider the Hilbert space of complex-valued square integrable functions on the interval . With, define the operatorT_f\varphi(x) = x^2 \varphi (x) for any function in . This will be a self-adjoint bounded linear operator, with domain all of and with norm . Its spectrum will be the interval (the range of the function defined on). Indeed, for any complex number, the operator is given by(T_f - \lambda)(\varphi)(x) = (x^2-\lambda) \varphi(x).

It is invertible if and only if is not in, and then its inverse is (T_f - \lambda)^(\varphi)(x) = \frac \varphi(x),which is another multiplication operator.

This example can be easily generalized to characterizing the norm and spectrum of a multiplication operator on any Lp space.

See also

References

. John B. Conway. A Course in Functional Analysis. 1990. Graduate Texts in Mathematics. 96. Springer Verlag. 0-387-97245-5.

Notes and References

  1. Book: Arveson, William. William Arveson

    . William Arveson. A Short Course on Spectral Theory. 2001. Graduate Texts in Mathematics. 209. Springer Verlag. 0-387-95300-0.

  2. Book: Halmos, Paul. Paul Halmos

    . Paul Halmos. A Hilbert Space Problem Book. Graduate Texts in Mathematics. 19. Springer Verlag. 1982. 0-387-90685-1.

  3. Book: Weidmann, Joachim. Linear Operators in Hilbert Spaces. Graduate Texts in Mathematics. 68. Springer Verlag. 1980. 978-1-4612-6029-5.
  4. Book: Garcia. Stephan Ramon. Stephan Ramon Garcia. Mashreghi. Javad. Javad Mashreghi. Ross. William T.. Operator Theory by Example. 2023. Oxford Graduate Texts in Mathematics. 30. Oxford University Press. 9780192863867.