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- A Hilbert space
is a complete normed vector space over
:
- 1.
-
is a vector space over
- 2.
- There is an inner product
:
x
which is conjugate linear:
for
and
iff v = 0 - 3.
- From the inner product, as usual, we define the norm of a vector:
- 4.
-
is complete with respect to the norm.
- We will typically use the bra/ket notation:
is a vector in
,
and
is the covector which is the conjugate transpose of v.
- This notation also allows us to represent the outer product of a vector and
covector as
,
which, for example, acts on a vector
as
.
For example, if {v1,v2} is an orthonormal basis for a two-dimensional
Hilbert space,
is the transformation
that maps
to
and
to (0, 0)T since
Equivalently,
can be written in matrix form where
,
,
,
and
.
Then
- A unitary operator
is a linear mapping
whose conjugate transpose is its inverse:
- Unitary operators are norm preserving:
- We will think of a quantum state as a (normalized) vector
.
For math folks, we are in effect working in Complex projective space, normalizing
to 1 so that the probabilities make sense.
- The dynamical evolution of a quantum system is expressed as a unitary operator acting on
the quantum state.
- Eigenvalues of a unitary matrix are of the form
where
is a
real-valued angle. A unitary operator is in effect a rotation.
- Just for reference, a typical expression of Schrödinger's equation looks like
with general solution
where
is an eigenfunction solution of the time independent Schrödinger
equation with En the corresponding eigenvalue. The inner product, giving a time
dependent probability, looks like
- Another way to think of this is that we have to find the Hamiltonian
which generates evolution according to:
In our context, we will have to solve for
given a desired U:
A solution for
always exists,
as long as the linear operator U is unitary.
- A measurement consists of applying an operator O to a quantum state v. To
correspond to a classical observable, O must be Hermitian,
,
so
that all its eigenvalues are real. If one of its eigenvalues
is associated with
a single eigenvector
,
then we observe the value
with probability
(i.e., the square of the length of
the projection along
).
Next: Tensor products
Up: A brief overview of
Previous: Our general topics:
Tom Carter
1999-05-17