Quantum mechanics, way of writing the eigenstates

In summary, the conversation discusses the confusion surrounding the presentation of eigenstates of a given matrix. The eigenvalues and eigenvectors are shown to be +/- 1 and x=-iy or x=iy, respectively. The conversation clarifies that the vectors |1> and |2> correspond to (1,0) and (0,1) and the resulting eigenvectors are (1,i)/sqrt(2) and (1,-i)/sqrt(2), satisfying the given conditions.
  • #1
Chronos000
80
0

Homework Statement



I'm having some trouble understanding exactly how the eigenstates of this matrix are being presented.

A= ( 0 -i
i 0 ) <- matrix

I can find the eigenvalues to be +/- 1 which gives the eigenvectors to be x=-iy or x=iy.

The eigenvectors are then being presented as:

|A+> = (|1> +i|2> )/root2

|A-> = (|1> -i|2> )/root2

I thought to get this you take the action 2 of A away from action 1 and the resolve it.(for A-). But I can't seem to get this.

I really just need some clarification on this as I have a further complicated matrix to do
 
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  • #2
What they give you as |1> is simply the vector (1, 0), and |2> is the vector (0,1), so |A+> = (1,i)/sqrt(2) which satisfies x = -i y, as you got. Similar for |A->.
 
  • #3
thanks for your reply. I think I may be blind here- but I don't see how A=(1,i)/sqrt2 satisfies x=-iy. - if x=1 and y equals 1 from the vectors you spoke of
 
  • #4
|A+> = (1,i) = |1>+i|2>

i.e., x=1 and y=i, which satisfies x=-i*y

similarly for the |A-> eigenvector.
 
  • #5
.

I would first commend the individual for working through the eigenvalues and eigenvectors of the matrix. Quantum mechanics can be a complex subject, and it's great to see someone taking the time to understand it.

In terms of the presentation of the eigenstates, it is important to note that in quantum mechanics, we often use the bra-ket notation to represent vectors and operators. The "A+" and "A-" in this context are not actions, but rather the eigenstates of the matrix A. The notation |1> and |2> represent the eigenvectors of the matrix, with 1 and 2 being the corresponding eigenvalues.

To obtain the eigenvectors presented, you can solve the matrix equation (A-λI)|x> = 0, where λ is the eigenvalue and |x> is the eigenvector. This will give you the two eigenvectors presented in the problem.

I would also suggest looking into the concept of Hermitian matrices in quantum mechanics, as they play a significant role in the eigenvalue and eigenvector calculations.

I hope this helps clarify the presentation of the eigenstates in this problem. Keep up the good work in your studies of quantum mechanics!
 

FAQ: Quantum mechanics, way of writing the eigenstates

What is quantum mechanics?

Quantum mechanics is a branch of physics that studies the behavior of matter and energy at a very small scale, such as atoms and subatomic particles. It explains the fundamental laws that govern the behavior of particles at the quantum level.

What are eigenstates in quantum mechanics?

An eigenstate is a particular state of a quantum mechanical system that has a definite value for a certain observable quantity, such as energy or momentum. It is represented by a mathematical function called a wavefunction, and the corresponding eigenvalue represents the measurement result of that observable.

How are eigenstates written in quantum mechanics?

In quantum mechanics, eigenstates are typically written in the form of a ket vector, which is denoted by the symbol "|>" and includes the eigenvalue and the associated wavefunction. For example, an eigenstate for the energy of a particle might be written as |E>, where E is the eigenvalue and the wavefunction is implied.

What is the significance of writing eigenstates in quantum mechanics?

Writing eigenstates in quantum mechanics is important because it allows us to describe the quantum state of a system and make predictions about its behavior. By representing the state in terms of eigenstates, we can calculate the probabilities of different measurement outcomes and understand the evolution of the system over time.

How do eigenstates relate to Heisenberg's uncertainty principle?

Heisenberg's uncertainty principle states that certain pairs of physical properties, such as position and momentum, cannot be simultaneously known with infinite precision. In quantum mechanics, eigenstates represent states of definite values for these properties, but the uncertainty principle tells us that these values cannot be known exactly at the same time. Therefore, the concept of eigenstates helps us understand the limitations of our knowledge in the quantum world.

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