In operator theory, a multiplication operator is a linear operator defined on some vector space of functions and whose value at a function is given by multiplication by a fixed function . That is,
for all in the domain of , and all in the domain of (which is the same as the domain of ).
Multiplication operators generalize the notion of operator given by a diagonal matrix. 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 L<sup>2</sup> space.
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.
Consider the Hilbert space of complex-valued square integrable functions on the interval . With , define the operator
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
It is invertible if and only if is not in , and then its inverse is
which is another multiplication operator.
This example can be easily generalized to characterizing the norm and spectrum of a multiplication operator on any L<sup>p</sup> space.