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,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.
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L2(X)
\sigma
Linfty(X)
\|f\|infty
Tf
T\overline{f}
\overline{f}
Tf
Tf
(Tf-λ)
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.
Tf
Tg
L2
Consider the Hilbert space of complex-valued square integrable functions on the interval . With, define the operatorfor 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 Lp space.
. John B. Conway. A Course in Functional Analysis. 1990. Graduate Texts in Mathematics. 96. Springer Verlag. 0-387-97245-5.
. William Arveson. A Short Course on Spectral Theory. 2001. Graduate Texts in Mathematics. 209. Springer Verlag. 0-387-95300-0.
. Paul Halmos. A Hilbert Space Problem Book. Graduate Texts in Mathematics. 19. Springer Verlag. 1982. 0-387-90685-1.