Multiplication operator

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Script error: No such module "Distinguish". In operator theory, a multiplication operator is a linear operator Template:Math defined on some vector space of functions and whose value at a function Template:Mvar is given by multiplication by a fixed function Template:Mvar. That is, Tfφ(x)=f(x)φ(x) for all Template:Mvar in the domain of Template:Math, and all Template:Mvar in the domain of Template:Mvar (which is the same as the domain of Template:Mvar).[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 Template:Mvar. They are also closely related to Toeplitz operators, which are compressions of multiplication operators on the circle to the Hardy space.

Properties

Example

Consider the Hilbert space Template:Math of complex-valued square integrable functions on the interval Template:Closed-closed. With Template:Math, define the operator Tfφ(x)=x2φ(x) for any function Template:Mvar in Template:Mvar. This will be a self-adjoint bounded linear operator, with domain all of Template:Math and with norm Template:Math. Its spectrum will be the interval Template:Closed-closed (the range of the function Template:Math defined on Template:Closed-closed). Indeed, for any complex number Template:Mvar, the operator Template:Math is given by (Tfλ)(φ)(x)=(x2λ)φ(x).

It is invertible if and only if Template:Mvar is not in Template:Closed-closed, and then its inverse is (Tfλ)1(φ)(x)=1x2λφ(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

Template:Reflist

Bibliography

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