In mathematics, specifically in functional analysis, each bounded linear operator on a complex Hilbert space has a corresponding Hermitian adjoint (or adjoint operator). Adjoints of operators generalize conjugate transposes of square matrices to (possibly) infinite-dimensional situations. If one thinks of operators on a complex Hilbert space as generalized complex numbers, then the adjoint of an operator plays the role of the complex conjugate of a complex number.
In a similar sense, one can define an adjoint operator for linear (and possibly unbounded) operators between Banach spaces.
The adjoint of an operator A may also be called the Hermitian conjugate or Hermitian transpose (after Charles Hermite) of A and is denoted by A∗ or A† (the latter especially when used in conjunction with the bra–ket notation). Confusingly, A∗ may also be used to represent the conjugate of A.
- 1 Informal definition
- 2 Definition for unbounded operators between normed spaces
- 3 Definition for bounded operators between Hilbert spaces
- 4 Properties
- 5 Adjoint of densely defined unbounded operators between Hilbert spaces
- 6 Hermitian operators
- 7 Adjoints of antilinear operators
- 8 Other adjoints
- 9 See also
- 10 Footnotes
- 11 References
Consider a linear operator between Hilbert spaces. Without taking care of any details, the adjoint operator is the (in most cases uniquely defined) linear operator fulfilling
where is the inner product in the Hilbert space . Note the special case where both Hilbert spaces are identical and is an operator on some Hilbert space.
When one trades the dual pairing for the inner product, one can define the adjoint of an operator , where are Banach spaces with corresponding norms . Here (again not considering any technicalities), its adjoint operator is defined as with
I.e., for .
Note that the above definition in the Hilbert space setting is really just an application of the Banach space case when one identifies a Hilbert space with its dual. Then it is only natural that we can also obtain the adjoint of an operator , where is a Hilbert space and is a Banach space. The dual is then defined as with such that
Definition for unbounded operators between normed spacesEdit
Let be Banach spaces. Suppose is a (possibly unbounded) linear operator which is densely defined (i.e., is dense in ). Then its adjoint operator is defined as follows. The domain is
Now for arbitrary but fixed we set with . By choice of and definition of , f is (uniformly) continuous on as . Then by Hahn–Banach theorem or alternatively through extension by continuity this yields an extension of , called defined on all of . Note that this technicality is necessary to later obtain as an operator instead of Remark also that this does not mean that can be extended on all of but the extension only worked for specific elements .
Now we can define the adjoint of as
The fundamental defining identity is thus
Definition for bounded operators between Hilbert spacesEdit
Suppose H is a complex Hilbert space, with inner product . Consider a continuous linear operator A : H → H (for linear operators, continuity is equivalent to being a bounded operator). Then the adjoint of A is the continuous linear operator A∗ : H → H satisfying
This can be seen as a generalization of the adjoint matrix of a square matrix which has a similar property involving the standard complex inner product.
- Involutivity: A∗∗ = A
- If A is invertible, then so is A∗, with
- "Anti-distributivity": (AB)∗ = B∗A∗
If we define the operator norm of A by
One says that a norm that satisfies this condition behaves like a "largest value", extrapolating from the case of self-adjoint operators.
The set of bounded linear operators on a complex Hilbert space H together with the adjoint operation and the operator norm form the prototype of a C*-algebra.
Adjoint of densely defined unbounded operators between Hilbert spacesEdit
A densely defined operator A from a complex Hilbert space H to itself is a linear operator whose domain D(A) is a dense linear subspace of H and whose values lie in H. By definition, the domain D(A∗) of its adjoint A∗ is the set of all y ∈ H for which there is a z ∈ H satisfying
and A∗(y) is defined to be the z thus found.
Properties 1.–5. hold with appropriate clauses about domains and codomains.[clarification needed] For instance, the last property now states that (AB)∗ is an extension of B∗A∗ if A, B and AB are densely defined operators.
The relationship between the image of A and the kernel of its adjoint is given by:
These statements are equivalent. See orthogonal complement for the proof of this and for the definition of .
The second equation follows from the first by taking the orthogonal complement on both sides. Note that in general, the image need not be closed, but the kernel of a continuous operator always is.[clarification needed]
which is equivalent to
In some sense, these operators play the role of the real numbers (being equal to their own "complex conjugate") and form a real vector space. They serve as the model of real-valued observables in quantum mechanics. See the article on self-adjoint operators for a full treatment.
Adjoints of antilinear operatorsEdit
For an antilinear operator the definition of adjoint needs to be adjusted in order to compensate for the complex conjugation. An adjoint operator of the antilinear operator A on a complex Hilbert space H is an antilinear operator A∗ : H → H with the property:
- Miller, David A. B. (2008). Quantum Mechanics for Scientists and Engineers. Cambridge University Press. pp. 262, 280.
- Reed & Simon 2003, pp. 186–187; Rudin 1991, §12.9
- See unbounded operator for details.
- Reed & Simon 2003, p. 252; Rudin 1991, §13.1
- Rudin 1991, Thm 13.2
- See Rudin 1991, Thm 12.10 for the case of bounded operators
- The same as a bounded operator.
- Reed & Simon 2003, pp. 187; Rudin 1991, §12.11
- Reed, Michael; Simon, Barry (2003), Functional Analysis, Elsevier, ISBN 981-4141-65-8.
- Rudin, Walter (1991), Functional Analysis (second ed.), McGraw-Hill, ISBN 0-07-054236-8.
- Brezis, Haim (2011), Functional Analysis, Sobolev Spaces and Partial Differential Equations (first ed.), Springer, ISBN 978-0-387-70913-0.