Abstract¶
The details of how measurements on quantum states are modelled.
Definition¶
An observables is a physical property that can be measured.
In quantum mechanics, observables are modelled by hermitian operators.
In the following all the concepts needed to understand this definition and why it is used will be built up.
Hermitian Operators¶
The adjoint of a linear operator , denoted by , is defined by
where is a the complex conjugate and is the adjoint operator and are general states. See here for more properties of the adjoint operator.
It can be seen from this definition that the matrix of is the matrix of transposed with elements complex conjugated.
Details of This Definition
Let be an inner product, and a linear operator. The adjoint of the linear operator , denoted by , is the operator that satisfies the following relation
where . Explicitly inputting the form of the inner product we are using gives
where the brackets are used to show which ket the operator is acting upon. Letting
gives
where the properties of the inner product have been used. Dropping the brackets gives the definition of the adjoint given in the main text.
An operator is said to be Hermitian, or self-adjoint, if
Properties of Hermitian Operators¶
- Hermitian operators have real eigenvalues.
- The eigenvectors of hermitian operators with different eigenvalues are orthogonal.
- The eigenvectors of hermitian operators form a complete set of basis states.
Proofs of (most) of these properties
Let be a hermitian operators acting on a Hilbert space.
- Hermitian operators have real eigenvalues: The eigenvalue equation in terms of bra-ket notion is
where is the eigenvalue of the eigenvector .
Inputting an eigenvector of into the definition of the adjoint with a hermitian operator gives
as .
The left hand side of this equation gives
The right hand side of this equation gives
Hence, meaning must be a real number.
- The eigenvectors of hermitian operators with different eigenvalues are orthogonal: Consider two eigenvectors of given by
such that . Inputting them into the definition of the adjoint gives
which can be rewritten as
Given it must be the case that .
- The eigenvectors of hermitian operators form a complete set of basis states: This result is given by the spectral theorem which says that an operator acting on is normal, meaning (which is satisfied by all hermitian operators), if and only if it is diagonalisable in some othronormal basis.
Hence, can be written as
where
and
This means can always be written as a diagonal operator with respect to it’s orthonormal eigenbasis.
It could be the case that for some values of . In this case the eigenvalues are said to be degenerate. In this case, can be written as
where is the projection onto the eigenspace with eigenvalue (meaning the Hilbert space spanned by the set of eigenvectors with eigenvalue ). Hence, if
for all vectors in the set then
Measuring Observables¶
The possible outcomes of measuring an observables are the eigenvalues of .
After measuring the observables and getting the eigenvalue , for example, the state the measurement was performed on will be in the eigenspace spanned by the eigenvectors with eigenvalue .
Quantum mechanics does not tell us which outcome will occur as a result of measuring an operator, it only tells us the probabilities of getting each possible outcome. After measuring on a state, the output is a random variable where the outcome is with some probability .
Let be an observable such that
where is the projection onto the eigenspace of with eigenvalue , and .
Probabilities of Measurement Outcomes:
The probability of measuring the observable on and getting the outcome is
If the eigenspace of is not dengerate, then is just the projection onto the eigenstate of with eigenvalue , meaning , and hence,
Let be the eigenvectors of a hermitain operator . Given this set of vectors forms an orthonormal basis a state can be decomposed in this basis,
where . It can therefore be seen that gives the probability of measuring on and getting the outcome .
Therefore, when considering measuring the observable on a state , one should first decompose the state in the eigenbasis of . The coefficients of the decomposition can then be used to find the probabilities of getting the different measurement outcomes. Note, when measuring the observable one should not apply the observable to the state.
Post Measurement State:
After measuring an observable on the state and getting the outcome the post measurement state, , is the state projected into the eigenspace of the with eigenvalue ,
where is the 2-norm and ensures the post measurement state is normalised - and hence a valid state. The second line can be shown as
where we have used the fact that projection operators onto eigenspaces of hermitian operators are hermitian, and .
Expectation Values:
The expectation value of an observable is the average outcome one would expect if measuring on many copies of a state,
which is the probability of getting the outcome multiplied by the outcome itself, summed over all possible outcomes from measuring .
The expectation value of on has a succinct form as
Higher moments of expectation values can also be found as
which generalises to the th moment as expected.
From this, the standard deviation can be found as
which can be interpreted as the standard deviation of the measurement outcomes if the observable is measured on many copies of .
The Uncertainty Principle¶
The Heisenberg uncertainty principle sets a fundamental limit on the accuracy to which two non-commuting observables can be known. It comes in a few different forms, with the Robertson form being most widely used.
Let and be two observables. The Robertson form of the uncertainty principle is:
where are the standard deviations of the measurement outcomes of the observables and respectively, and is the commutator of the observables.
One should interpret this as preparing some number of copies of a state , and measuring on half the copies, and on the other half of the copies. The product of the standard deviation of the measurement outcomes and the standard deviation of the measurement outcomes, is what the uncertainty principle bounds.
Note, the expectation value included in the above definition of the uncertainty principle is a state dependent quantity. Hence, the limitation on the accuracy imposed by the uncertainty principle is dependent on the state, , upon which the measurements are being made.
If two observables commute, meaning , then there is no limit to the accuracy with which the two observables can be simultaneously known.
See here for some details on commutators
Why Hermitian Operators as Observables¶
In this section we will aim to motivate why hermitian operators should be used to represent things that can be measured in quantum mechanics. Below are some reasons commonly found in the literature.
They give real measurement outcomes: as proved above, the eigenvalues of Hermitian matrices are real. Given the eigenvalues of an observables are the possible measurement outcomes one can get, this means that all possible measurement outcomes, for all possible things that can be measured, are real. In The Principles of Quantum Mechanics, Dirac argues that all possible measurement outcomes must be real due to the potential for the measurement of an observables to alter the state (e.g the post measurement state becomes an eigenstate of the observable measured). If one were to try and measure a complex number associated to a quantum state, they would need two real numbers to specify it. The observer could try and measure the real and imaginary part separately. However, in general, performing a measurement to extract the real part will alter the state, changing what one would get if they then performed a measurement to extract the imaginary part. For this reason, Dirac claims that all measurement outcomes must be real.
Retains probability: this refers to the eigenvectors of Hermitian operators forming a complete basis, as stated by the spectral theorem. This ensures that the sum of the probabilities of getting the different possible measurement outcomes always sums to one. To see this, let . Given is Hermitian, . Hence, the sum over the probabilities of the different possible measurement outcomes of measuring on is
Therefore, all possibilities are properly accounted for, when measuring on a normalised state , one will get a measurement outcome associated to with certainty. If the sum was less then 1, then there would be some probability “unaccounted” for.
Another question one might have is
Why are post-measurement states are eigenvectors of an observables: it is easy to see from the framework presented above that if one has a state that is an eigenvector of an observable, and that observable is then measured on the state, that one will get the same outcome each time. Namely, they will get the eigenvalue associated to that eigenvector. But, is the converse true? Is a state that always gives the same outcome when an observable is measured on it necessarily an eigenvector of the observable being measured? The answer, proved below, is yes.
Proof
Consider one has multiple copies of a state and on each copy they measure the observable and get the real outcome .
The standard deviation of the measurement is zero, , and the average is , .
Therefore,
The adjoint of the operator is taken so that (A-a) now acts on the bra, but is Hermitian.
The above is zero if and only if
as the only vector who’s inner product with itself is zero is the zero vector.
Hence,
which is the eigenvalue equations, proving that a state with a definitive outcome when measured by an observables is an eigenvector of that observable.