P2 Operators#
What you need to know
For every experimental observable there is a corresponding operator in quantum mechanics.
Operators must be linear. Becasue they are dervied from Schrodinger equation which itself is linear.
Operatprs must be Hermitian becasue only Hermitian operators produce real eigenvalues.
Operatprs must produce real eigenvalues. Becasue eigenvalue are the only possible values that are measured in experiments.
Operators commutations show weather two experimental observables can be measured simulateneously. E.g can one simulatenoulsy and precisely determine the values of position and momentum of an electron.
Commuting operators share eignefunctions, non-commuiting operators have different eigenfunctions.
Operators: A Reminder#
In quantum mechanics, operators represent physical observables and are denoted by a hat symbol (
For example, the momentum operator is differentiating the function with respect to
, then multiplies the result by .When this operates on a function, it
The position operator simply multiplies the function by
.
Linearity of Operators#
Operators in quantum mechanics are linear, meaning they satisfy:
Where
is a constant, and , , and are wavefunctions. , , all satisfy this property
Expectation Value: A Reminder#
The expectation value of an observable
, which gives the average outcome of measurements, is computed as:Special Case: If the wavefunction
is an eigenfunction of the operator , with eigenvalue :Then the expectation value simplifies to:
Since
(normalization), the expectation value is simply the eigenvalue .
Commutations of operators#
Commutator
From linear algebra we know that order of matrix multiplicaiton matters and that
for two matrices andThus we also generally ecpect
for any two operators.We can quantify relationship between two operators by computing the Commutator
If the commutator is zero, it means that order in multiplication of operators or matrices can be changed.
If the commutator is non-zero, the order matters and can not be changed!
Example
Prove that operators
Solution
Let
Simple rules for commutators#
Commutators and experimental measurements#
We have seen previously that operators may not always commute (i.e.,
In contrast, the kinetic energy operator and the momentum operators commute:
We had the uncertainty principle for the position and momentum operators:
In general, it turns out that for operators
Let’s check this relation on the example of momentum and position operators
Denote
and .
We find that we can not measure precise values of position or momentum simulatneously.
Commuting operators and simultaneous measurments#
Commuting operators share eigenfunction
Proof
We will show that if all eigenfunctions of operators
and are identical, and commute with each other.
Denote the eigenvalues of
By using these two equations and expressing the general wavefunction
Note that the commutation relation must apply to all well-behaved functions and not just for some given subset of functions!
If opertors commute that means we can simultaneously measure corresponding observables in a single experiment.
For instance operatos of kinetic energy and momentum commute. We can measure momentum and kinetic energy. But we can not do the same for momentum and position.
If we measure observables
and desribed by a common eigenfunction we find the observables to be the corresponding eigenvalues and
Hermitian property of operators#
What would be an analog of complex conjugate for matrices?
This leads us to defined adjoint of an operator matrix/operator
which is obtained by swapping indices and taking complex conjugate of all elements.With same analogy when matrix is equal to its adjoint its eigenvalues are real!
Such matrices are called Hermitian or self-adjoint.
Hermitian Matrix
is called conjugate transpose of matrix where one trasposes elements and replaces with complex conjugate elements
For an operator, the adjoint can be understood as an operation analogous to swapping the roles of functions in an inner product expression, followed by taking the complex conjugate.
Specifically, in a “sandwich” form like
, taking the adjoint involves exchanging the functions and complex conjugating the operator resulting in .Essentially, the operator enters the realm of complex conjugate functions. When an operator is Hermitian, it is equal to its adjoint
Hermitian Operator
In Dirac Notation
On the left,
acts on , and the result is integrated against .On the right,
acts on , and the result is integrated against .For Hermitian operators we have special case when
and this equation becomes symmetric.In general most matrices/operators in mathematics are not Hermitian. Meaning you get different result when you feed complex conjugate function to the same operator. Some examples are below
Example of Hermitian Matrix
Which of these matricies is Hermitian?
Solution
For the first matrix we have
, non-HermitianFor the second matrix
, non-HermitianFor the third matrix
, HermitianFor the fourth matrix
, non-Hermitian
To see that Differentiation operators are Hermitian requires a little more work.
A trick that helps see it is integration by parts where the constant term is zero because wavefunction decays to zero at boundaries (postulate 1, keeping probability finite)!
Example of Hermitian Operator
Prove that the momentum operator (in one dimension) is Hermitian.
Solution
Two Consequences of Hermitian Property#
Eigenvalues of Hermitian Operators Are Real#
Operators and eigenfunctions in quantum mechanics may be complex valued; however, eigenvalues of quantum mechanical operators must be real because they correspond to the real values obtained from measurements.
By allowing wavefunctions to be complex, it is possible to store more information (i.e., both the real and imaginary parts, or “density and velocity”).
When computing experimental quantities, the complex conjugate pair of wavefunctions must be combined to yield real values.
Proof: Let
be an eigenfunction of with eigenvalue . Choose . Then we can write the result of the left-hand and right-hand sides of the Hermitian condition:
Since the operator is Hermitian, this leads to equality ensuring real nature of eigenvalues.
Eigenfunctions of Hermitian Operators Are Orthogonal#
The Hermitian property can also be used to show that eigenfunctions
Since the operator is Hermitian, we require that LHS = RHS. This results in:
If
, then we have:
This shows that
and are orthogonal.Note: If
, meaning the eigenvalues are degenerate, this result does not hold.
Problems#
Problem-1: Is operator Hermitian#
Check weather the operator
You can test weather the following condition holds:
Note how complex conjugation applies to an expression with an operator inside!
But since our operator contains no imaginary number complex conjugation only applies to the wavefunction
Solution
Step 1: Left-hand side
The left-hand side is:
Step 2: Integration by parts
We apply integration by parts to simplify this expression. Using the product rule for differentiation, we get:
The boundary term
Now, for the remaining integral, we apply the derivative to the product
Thus, the left-hand side becomes:
Step 3: Right-hand side
The right-hand side is:
Step 4: Comparison
Now, we compare the two expressions. The left-hand side contains the extra term:
which is not present in the right-hand side. This means:
Since the two sides are not equal, we conclude that the operator
is non-Hermitian.
Problem-2: Is operator Hermitian?#
You can test weather the following condition holds
Note how complec conjugation applies to an expression with operator inside. but since our operator contains no imaginary numbers it will only apply to wavefunction
Solution
To show that the operator
Step 1: Left-hand side
The left-hand side is:
Step 2: Integration by parts
We apply integration by parts twice. First, applying integration by parts to the term
The boundary term
We now apply integration by parts again to the remaining term:
Again, the boundary term
Step 3: Conclusion
Since the two sides are equal, we conclude that the operator
Problem-3: Is operator Hermitian?#
You can test weather the following condition holds
Solution
Fro the last problem we learned that the following condition holds which makes second derivative operator
Now if we have
the complex conjugate part will prduce minus sign which breaks the Hermitian equality
Problem-4: Identify Hermitian Matrices#
Solution
A Matrix
To check if a matrix is Hermitian, it must satisfy the condition
The transpose of
Since
B Matrix
Now, let’s compute the conjugate transpose of
Clearly,
C Matrix
The conjugate transpose of
Since
Problem-5 Momentum Matrix#
Show how the momentum operator looks in matrix form using a finite-dimensional example where you evaluate wavefunction onf 4 points which will correspond to
Solution
We can represent the momentum operator
in a discrete basis, such as using a position basis. In this case, the matrix elements of the momentum operator can be approximated using finite differences.For simplicity, let’s assume we are working in a discrete system, where we approximate the derivative
with finite differences. The finite difference approximation for the derivative at point is:
where
is the spacing between the discrete points.The corresponding momentum operator matrix in this finite-dimensional space can be written as a skew-symmetric matrix that captures this finite difference behavior.
Here is an example of a
momentum operator matrix , assuming $\hbar = 1$ for simplicity:
Explanation:
The non-diagonal entries correspond to the finite difference approximation of the derivative.
The factor of
ensures that the momentum operator reflects the correct dimensionality.The matrix is anti-Hermitian (i.e.,
), as expected for the momentum operator.This
matrix represents the momentum operator in a discrete system with 4 grid points. The matrix elements link neighboring points, reflecting the nature of the derivative approximation.