Finding the eigenvectors and eigenvalues of the state of a quantum system is one of the most important concepts in quantum mechanics. And it is here where many students get confused.
In order to learn this by heart, one has to do several exercises. There are many ways that can be employed when we deal with these concepts. Let us have an example problem of determining the eigenvectors and eigenvalues of a perturbed quantum system.
A perturbed quantum system
We consider a quantum system with just three linearly independent states. The Hamiltonian, in matrix form, is
We have learned in quantum mechanics that the perturbed system describes a complicated quantum system but can be expressed in terms of a simpler one. The trick then is to begin with a simpler system for which a solution is known, and add an additional perturbing Hamiltonian that represents a small disturbance to the system. In this problem we are tasked to solve for the eigenvalues and eigenvectors of the perturbed quantum system.
We just solve the characteristic equation in order to get the eigenvalues corresponding to the unperturbed Hamiltonian
From the above matrix we can easily obtain the determinant so that we can get this expression
For, the corresponding matrix equation gives
Since the two are arbitrary we have the freedom to choose what their values are and to make things simple we choose 1 and 0 so that the eigenvectors become
For we have the following matrix,
It is easy to see that
Since it is arbitrary we can let any value for it and the most non-trivial and simplest value would be
The eigenvectors corresponding to the different eigenvalues of the unperturbed hamiltonian are then written as follows
If there is a basis defined in a vector space, the vectors can be expressed in terms of components. If we have finite dimensional vector spaces for example with dimension n, the transformations can be represented with n x n square matrices.
Next we solve for the exact eigenvalues of H. We expand each of them as power series in up to second order.
Using the characteristic equation again for solving now the Hamiltonian for the perturbed system we have
Solving for the determinant of this matrix we can easily arrived to this equation
Now, equating the second factor to zero again we have
Simplifying the right hand side algebraically results to
Therefore the expression results to
The eigenvalue problem simply tells us that under the transformation, the eigenvectors experience only changes in magnitude and sign. The result of the eigenvalue shows the amount of stretch or shrink to which a vector is subjected when transformed.
About the author:
Henrilen is a graduate student of physics at MSU-IIT . She hopes to do many researches someday that could truly benefit the people not only in this country but as well as for the whole world.
by MARYJANE D. MADULARA
In an earlier post about the properties of Hermitian operators, it was noted that quantum operators of physical significance are Hermitian by type. Here we discuss more fully about Hermitian matrices.
A n x n matrix is Hermitian if it is equal to its corresponding adjoint matrix. Now, for each Hermitian matrix, it may be diagonalized by a unitary transformation to its basis. That is by using a unitary matrix composed of eigenvectors of the Hermitian matrix.
But what can be done for two Hermitian matrices?
The good thing is that they may be simultaneously diagonalized. This can be done by finding the eigenvectors common to both. And then by verifying that under a unitary transformation to this basis, both matrices are diagonalized.
Let us consider the following Hermitian matrices.
EIGENVALUES AND EIGENVECTORS
i) For Look first for the eigenvalue by solving it from the determinant,
So that by using the basket rule in solving matrices,
This will give us the values,
For simplicity, first choose
So choose ,
ii) For Again look first for the eigenvalue by solving it from the determinant,
Then by using again the basket rule for matrices,
This will give us the values,
The resulting equation will then be,
This results to,
Now choose so that,
Then choose the values to be
The resulting equation will then be,
This will give us,
Since the second term will cancel out to zero, so that this will only then become,
Then choose so that,
So here are the common eigenvectors of and
Now for the Unitary transformation matrix,
Finally, using this unitary transformation, find out if and are diagonalized.
Thus we have described the properties of Hermitian operators in terms of its eigenvalues and eigenvectors. We have also shown that two Hermitian matrices can both be diagonalized through a unitary transformation.
About the Author:
Maryjane D. Madulara is presently pursuing a masters degree in physics at MSU-Iligan Institute of Technology (MSU-IIT) in Iligan City, Philippines. Computational physics research is her subject of interest. “Something new for the scientific community” is her motivation to continue, dream big, and do more. She hopes to finish a doctoral degree abroad.
Schwarz Inequality, also known as Cauchy–Schwarz inequality, Cauchy inequality, or the Cauchy–Schwarz–Bunyakovsky inequality, is useful in many Mathematical fields such as Linear Algebra. This Inequality was formulated by Augustin Cauchy (1821), Viktor Yakovlevich Bunyakovsky (1859) and Hermann Amandus Schwarz (1888).
The uncertainty principle of quantum mechanics, which relates the incompatibility of two operators, rests on this important theorem of Schwarz.
This is a theorem that arise from the inner product of two vectors which sates that the square magnitude of the inner product of two vectors is less than or equal to the product of the square magnitude of any vector, i. e.,
where α and β are scalar constants.
By going through the derivation of Schwarz Inequality, show that the inequality becomes an equality if
where μ is an arbitrary constant.
Starting with the Schwarz Inequality
with the general equation
From the axiom;
we let the axiom equal to zero and substitute the value V so then we have,
Doing algebra and simple transformation we arrive to the equation
and from the general equation we have, we derived this
with the condition
About the Author
Debbie Claire R. Sanchez is currently a student of MSU-IIT pursuing her graduate study and hopefully will be graduating soon. She is very much interested in the field of Materials Science more specifically on Polymers. She plans to pursue her Ph. D in the United States and dreams on working in a well known company.
The perturbation theory is best applied in the determination of the approximate correction to the energy levels and eigenstates after a certain perturbation is introduced to a real quantum system. To understand this deeply, let us look at this example.
a) Show that there is no first-order change in the energy levels and calculate the second-order correction.
The first-order change in the energy levels with this given perturbation, H’ = -qEx , is found using the fundamental result of the first-order perturbation theory which states that the change in energy is just the average value of the perturbation Hamiltonian in the unperturbed states:
Substituting the given perturbation into the equation, we get
where n is the nth eigenfunction. Employing the ladder operators (raising and lowering operators, a+ & a–, respectively) on x as in the equation,
and we get the inner product
For the second-order correction, it is found using the fundamental equation of the second order perturbation theory which is
and the above equation becomes
Then, our second-order equation becomes
It is important to note that
b) The Schrödinger equation (SE) can be solved exactly in this case by a change of variables. Find the exact energies and show that they are consistent with the perturbation theory approximation.
The Schrödinger equation for this potential is:
By change of variables, we let
Thus, substituting this to our SE, it becomes,
and rearranging terms, we get
which is the SE for simple harmonic oscillator in the variable x’.
We know that,
In the above equation, the second term is the second order correction to the energy level and since we found that the first order correction is zero, thus this solution is consistent with the perturbation theory approximation.
About the author:
Ann finished her BS Physics degree at MSU main campus in Marawi City and is pursuing now a graduate degree at MSU-IIT, Iligan City. She is into performing experiments in Material Science and hopes to become one of the experimental physicists of the country someday.
by SIMON JUDE BURGOS
In this post we investigate the properties of a quantum oscillator by using an algebraic tool in quantum mechanics called ‘ladder operators’. Using the ladder operator it becomes easy to find the following properties for a quantum oscillator in a given energy level: the average position and momentum and the square of these values as well as the average kinetic energy of a simple harmonic oscillator. In formal notation, we are looking for the following respective quantities: , , , and .
Some discussion about ladder operators
We begin by introducing the so-called ladder operators. There are two types: the raising operator, symbolized by , and the lowering operator, symbolized by . For reasons that will be evident later, the two are also called creation and annihilation operators respectively.
The ladder operators come from the roots of the Hamiltonian for a simple harmonic oscillator. The Hamiltonian is given by
which can be rewritten as
We then take the roots or factors of the expression inside the brackets. We should note however that we are dealing here with operators which do not commute. Simple algebraic factoring yields two roots:
To be clear, we rewrite the two roots separately below as
where the momentum operator is given by
To be able to find the expectation values of (position operator) , (momentum operator) and (kinetic energy), we express the position operator and momentum operator in terms of the ladder operators and . We add the two roots in order to get the expression for the position operator in terms of the ladder operators as
and then by subtracting the lowering from the raising operator gives the expression for the momentum operator as
Now we consider the product of the two ladder operators. Since operators do not commute there are different results when we change the order when multiplying both operators:
from which we derive the expression for the Hamiltonian as
The term in the braces is just the dimensionless Hamiltonian operator which is more convenient for our purposes:
This Hamiltonian operator can be expressed differently by multiplying the ladder operators in a different order. Then we get
and its dimensionless counterpart is just
The Schroedinger eigenvalue equation for a simple harmonic oscillator will then yield
hence it follows that
Now we can operate these ladder operators to and see how the eigenvalues behave. We write down the action of the lowering operator as
Its adjoint is given by
Multiplying the latter 2 equations gives us
since is the eigenfunction is normalized and is given, then
we finally arrive at the result that for the raising operator we have
And also for lowering operator the result is
When using ladder operators it is imporatnt to note that orthogonality condition must be satisfied. The orthogonality condition is given by,
Finding the properties of a quantum oscillator
Using the preceding results, we can now find the desired solutions to the problem initially given at the top of this post; which are
a. In finding , we proceed as follows using the derived expression for the position operator in terms of the ladder operators. We note that where <n| is any eigenvector. So we write,
c. Finding involves a similar algebraic procedure
e. Finally we can derive the expectation value for the kinetic energy, <T> in a straightforward way as
Relation to Heisenberg’s Uncertainty Principle
The quantum oscillator we have described above obeys the Heisenberg uncertainty principle.
We use the results from a) to d) above in proving these statements.
Using the above results, it is easy to see that
We thus have seen that the quantum harmonic oscillator satisfies the Heisenberg uncertainty principle.
About the Author:
SIMON JUDE BURGOS is a graduate student in Physics at the Mindanao State University-Iligan Institute of Technology (MSU-IIT) in Mindanao, Philippines. He goals to work in research facilities in the field of medical physics. He will be finishing his masters degree soon and hope to go on to Ph.D. physics research in the near future.