What is Hermitian? Definition & Summary

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In summary, the Hermitian transpose or Hermitian conjugate of a matrix is the complex conjugate of its transpose. A matrix is Hermitian if it is its own Hermitian transpose. In quantum theory, an observable must be represented by a Hermitian operator. The hermitian conjugate is a combination of matrix transpose and complex conjugation. In quantum mechanics, observable quantities are assigned by hermitian operators. Some useful identities for hermitian operators are presented, including the expectation value, expectation value of the operator squared, and the operators to the right.
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Definition/Summary

The Hermitian transpose or Hermitian conjugate (or conjugate transpose) [itex]M^{\dagger}[/itex] of a matrix [itex]M[/itex] is the complex conjugate of its transpose [itex]M^T[/itex].

A matrix is Hermitian if it is its own Hermitian transpose: [itex]M^{\dagger}\ =\ M[/itex].

An operator [itex]A[/itex] is Hermitian (or self-adjoint) if it is its own adjoint: [itex]\langle Ax|y\rangle\ =\ \langle x|Ay\rangle[/itex] (in the finite-dimensional case, that means that its matrix is Hermitian).

In quantum theory, an observable must be represented by a Hermitian operator (on a Hilbert space).

For other uses of the adjective "Hermitian", see http://en.wikipedia.org/wiki/Hermitian.

Equations

[tex] \int \psi _1 ^* (\hat{O} \psi _2 ) \, dx = \int (\hat{O}\psi _1 )^* \psi _2 \, dx [/tex]

[tex] \langle b |\hat{O} |c \rangle = \langle c |\hat{O} |b \rangle ^*[/tex]

Extended explanation

A matrix [itex] M [/itex] is hermitian if:
[tex] M^{\dagger} = (M^T)^* = M , [/tex]
where [itex] \dagger [/itex] is called the hermitian conjugate, and is thus a combination of matrix transpose and complex conjugation of each entry in the matrix.

In quantum mechanics, observable quantities are assigned by hermitian operators. Examples of those are:

(with continuous spectrum)
position operator
[tex] \hat{x}, [/tex]

momentum operator
[tex] -i\hbar \dfrac{\partial}{\partial x}, [/tex]

(with discrete spectrum)
z-component of angular momentum operator
[tex] \hat{L}_z . [/tex]

In terms of wave functions, an operator [itex] \hat{O} [/itex] is hermitian if:
[tex] \int \psi _1 ^* (\hat{O} \psi _2 ) \, dx = \int (\hat{O}\psi _1 )^* \psi _2 \, dx [/tex]

In terms of bra-ket:
[tex] \langle b |\hat{O} |c \rangle = \langle c |\hat{O} |b \rangle [/tex]

Now, using the wave function formalism, some valuable identities will be presented:

Let us consider two hermitian operators [itex] \hat{A} [/itex] and [itex] \hat{B} [/itex].

The expectation value:
[tex] <\hat{A}> = \int \psi ^* (\hat{A} \psi ) dx = \int (\hat{A}\psi )^* \psi dx,[/tex]
is real, proof:
[tex] <\hat{A}>^* = \int ((\hat{A}\psi)^*\psi)^* dx = \int (\hat{A}\psi)\psi^* dx = \int \psi^* (\hat{A}\psi) dx = <\hat{A}> [/tex]
Since [itex] \hat{A} [/itex] was said to be hermitian, and [itex] \psi _1 = \psi _2 [/itex] when we do expectation values.

Expectation value of [itex] \hat{A}^2 [/itex]:
[tex] <\hat{A}^2> = \int \psi ^* (\hat{A}(\hat{A}\psi)) dx = \int \psi^* (\hat{A}\tilde{\psi})dx = [/tex]
[tex] (\tilde{\psi} = \hat{A}\psi \: \text{ is a new wavefunction} )[/tex]
[tex] \int (\hat{A}\psi)^*\tilde{\psi}dx = \int (\hat{A}\psi)^*(\hat{A}\psi) dx [/tex]

Now we can show another useful result:
[tex] \int \psi^* (\hat{A}(\hat{B}\psi))dx = \int(\psi^*(\hat{B}(\hat{A}\psi)))^*dx ,[/tex]
prove this as an exercise.

Two more useful things:
[tex] I = \int \psi^*(\hat{A}\hat{B}+\hat{B}\hat{A})\psi = I^* [/tex]
is real, show this as an exercise.

The operators always to the right if not indicated otherwise. Thus:
[tex] I = \int \psi^*(\hat{A}(\hat{B}\psi))dx + \int \psi^* (\hat{B}(\hat{A}\psi)) dx [/tex]

[tex] J = \int \psi^*(\hat{A}\hat{B}-\hat{B}\hat{A})\psi = -J^* [/tex]
is imaginary, show this as an exercise.

These identities are needed to prove the uncertainty relations of quantum mechanics.

* This entry is from our old Library feature. If you know who wrote it, please let us know so we can attribute a writer. Thanks!
 
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  • #2
"What is a Hermitian" - this doesn't seem right grammatically. Hermitian is an adjective, unlike Hamiltonian, which is a noun. A better title for the future insight article would be "What is Hermitian Conjugate?"

(You can delete this post once you update the title, as this would then become useless.)
 

Related to What is Hermitian? Definition & Summary

1. What is the definition of Hermitian?

Hermitian is a term used in mathematics and physics to describe a special type of matrix or operator that is equal to its own conjugate transpose. In other words, the elements on the main diagonal of a Hermitian matrix are real numbers, and the elements above and below the diagonal are complex conjugates of each other.

2. What is the significance of Hermitian matrices?

Hermitian matrices have several important properties that make them useful in various applications. These include being diagonalizable, having real eigenvalues, and being unitarily equivalent to a diagonal matrix with real entries. They also play a crucial role in quantum mechanics, where they represent observables and have real eigenvalues that correspond to measurable quantities.

3. How is Hermitian related to the concept of symmetry?

In the context of matrices, Hermitian is related to the concept of symmetry because a Hermitian matrix is equal to its own conjugate transpose, which means it is symmetric with respect to the main diagonal. This property can be seen as a generalization of real symmetric matrices, which have real entries and are symmetric with respect to the main diagonal.

4. Is every square matrix Hermitian?

No, not every square matrix is Hermitian. In order for a matrix to be Hermitian, it must satisfy the condition that it is equal to its own conjugate transpose. This means that the matrix must have real entries on the main diagonal and complex conjugate entries above and below the diagonal.

5. How is Hermitian related to the concept of self-adjointness?

The concepts of Hermitian and self-adjointness are closely related. A Hermitian matrix is self-adjoint with respect to the standard inner product on complex vector spaces, meaning that its transpose is equal to its conjugate transpose. In general, self-adjointness refers to a broader concept where an operator is equal to its adjoint, which is the generalization of conjugate transpose to any inner product space.

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