Self-adjoint operators and Hermitian operators

  • Thread starter Thread starter spaghetti3451
  • Start date Start date
  • Tags Tags
    Hermitian Operators
Click For Summary
Self-adjoint operators and Hermitian operators are often used interchangeably in finite-dimensional spaces, where both refer to operators that equal their adjoint. In a complex Hilbert space, an operator is self-adjoint if it equals its adjoint, while a Hermitian operator is defined by the property that its conjugate transpose equals itself. The distinction becomes significant in infinite-dimensional spaces, particularly with unbounded operators, where self-adjoint operators have the same domain as their adjoint, while symmetric operators do not necessarily share this property. The spectral theorem applies strictly to self-adjoint operators, making them essential for quantum mechanics, as they represent observables. Understanding these differences is crucial for accurately applying concepts in quantum mechanics and functional analysis.
spaghetti3451
Messages
1,311
Reaction score
31
I was wondering what the difference is between the two. Would be nice if someone could explain the difference in simple terms, because it appears to be essential to my quantum mechanics course.
 
Physics news on Phys.org
Basically, they're interchangeable.

- Every operator ##T## on a (complex) Hilbert space ##\mathcal H## has a unique adjoint operator ##T^*##, pinned down by the property that##\langle Tx,y\rangle=\langle x,T^*y\rangle## for every ##x,y\in\mathcal H##. We say ##T## is a self-adjoint operator if ##T^*=T##.
- Every square (compex) matrix ##A## has a unique conjugate transpose ##A^*##. We say ##A## is a Hermitian matrix if ##A^*=A##.
- If ##\mathcal H## is finite-dimensional, and ##A## is the matrix which represents ##T## with respect to some given orthonormal basis (e.g. the standard basis if ##\mathcal H = \mathbb C^n##), then it's straightforward to verify that the conjugate transpose matrix ##A^*## represents the adjoint operator ##T^*##. In particular, ##T## is self-adjoint if and only if ##A## is Hermitian.

So if we're careful (e.g. only using orthonormal bases, for instance), then "self-adjoint" and "Hermitian" mean the same thing in the finite dimensional world. I would suppose they're also being used interchangeably for operators on an arbitrary Hilbert space.
 
For a general complex separable Hilbert space, Hermitean is an old-fashioned notion for what mathematicians call symmetric operator. A symmetric operator has an unique adjoint who's nothing but an extension of it. Self-adjoint is the operator which is equal to its adjoint (in von Neumann's words: hypermaximal symmetric). Quantum Mechanics needs self-adjoint operators to depict observables, not symmetric ones.
 
Things are slightly more complicated in the infinite dimensional case when unbounded operators are considered. In fact when physicists say Hermitian, the definition they often give is something like A is Hermitian if \langle u | A | v \rangle=\langle v|A|u\rangle^* for all u,v\in \mathcal{H} however they also want the spectral theorem and all it's consequences to apply to A. Strictly speaking this definition merely says that A is what mathematicians would call symmetric and the spectral theorem does NOT necessarily apply to such operators.

To give the precise definition for unbounded operators, it is necessary to pay close attention to the domains of the operators in question. So, suppose that an operator A is defined on the domain \mathcal{D}(A) which is dense in \mathcal{H}. Then the adjoint A^\dagger of A is defined on the domain consisting of all u\in \mathcal{H} such that the map v\mapsto \langle u,Av \rangle for v\in \mathcal{D}(A) extends to a bounded linear functional on all of \mathcal{H}. (Note that this extension is unique since the domain is dense.) In this case, the adjoint A^\dagger is defined to be the element of \mathcal{H} corresponding to this linear functional via the Riesz-representation theorem so that the equality \langle A^\dagger u,v\rangle=\langle u,Av\rangle as expected.

The definition of symmetric (or Hermitian as physicists often call it) is simply that \langle Au,v\rangle=\langle u,Av\rangle for all u,v\in \mathcal{D}(A). The definition of self-adjoint is that A^\dagger =A. The key point here is that in general, \mathcal{D}(A^\dagger) \supseteq \mathcal{D}(A) so a self-adjoint operator has the extra condition that it's adjoint has the same domain as the operator itself which a merely symmetric operator need not satisfy. It is often possible to extend a symmetric operator to a self-adjoint operator by extending it's domain but, contrary to what a previous poster stated, even if this is possible I believe there is no guarantee that you get a unique extension. A related class of operators, the essentially self-adjoint ones, are precisely those which have a unique extension to a self-adjoint operator but this does not include all symmetric operators.

Since the majority of physics books I've read anyway (at least the more introductory ones) do not pay very close attention to the precise domain on which unbounded operators are defined, the above distinction between self-adjoint and symmetric seems to get blurred or not mentioned at all but as I said, the spectral theorem only applies to self-adjoint operators not Hermitian(symmetric) ones so these are what are really meant if you want to be precise.
 
Are we making use here somewhere that for a continuous (i.e., linear + bounded ) map L to extend from a dense subspace into the space (when the target space is a complete normed space), that L must be uniformly-continuous?
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 32 ·
2
Replies
32
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 8 ·
Replies
8
Views
2K