Harmonic oscillator in matrix form

Click For Summary

Discussion Overview

The discussion revolves around the formulation of the harmonic oscillator Hamiltonian in matrix form, specifically addressing the transition from a diagonalized matrix representation to a non-diagonalized matrix derived from the potential energy function V=1/2kx². The scope includes theoretical aspects of quantum mechanics and mathematical reasoning related to operator representations.

Discussion Character

  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant states the Hamiltonian in matrix form is diagonalized, represented as = E^j * delta_ij = (j+1/2)hbar*omega*delta_ij.
  • Another participant provides the expression for the Hamiltonian in position representation, indicating it involves a delta function and a differential operator.
  • A participant suggests that the Hamiltonian is non-diagonal in the position basis due to the nature of differential operators.
  • There is a discussion about visualizing functions as infinite-dimensional vectors and operators as matrices, emphasizing the importance of understanding operators with two indices.
  • One participant mentions the analogy between differential operators and finite-dimensional linear algebra, suggesting that this perspective can aid in constructing matrix elements.

Areas of Agreement / Disagreement

Participants appear to agree on the nature of the Hamiltonian and its representation, but there is no consensus on specific references for further study or on the implications of the non-diagonalized form.

Contextual Notes

The discussion touches on the infinite dimensionality of Hilbert space and the representation of operators, but does not resolve the complexities of transitioning between different bases or the implications of these representations.

intervoxel
Messages
192
Reaction score
1
I know that the HO hamiltonian in matrix form using the known eigenvalues is
<i|H|j> = E^j * delta_ij = (j+1/2)hbar*omega*delta_ij, a diagonalized matrix.

How do I set up the non-diagonalized matrix from the potential V=1/2kx^2?
 
Physics news on Phys.org
[tex] \langle x'|H|x\rangle = \delta(x-x')\left[ -\frac{\hbar^2}{2m}\frac{\partial^2}{\partial x^2} + \frac{1}{2}kx^2\right][/tex]

Not very interesting, it's what you might think of as the Hamiltonian anyway.
 
Nice, peter@cam,

Can you cite a reference for further study?
 
Well I can't think of a book reference, although I'm sure some people on this board can.

The hilbert space for a 1-d quantum particle is infinite dimensional. In the energy basis, it is a discretely infinite thing, whereas in the position basis it is continuously infinite.

You just need to get into a habit of thinking about functions as infinite dimensional vectors, and operators as matrices.
It might help you visualise it if you do a discretised case writing out differentiation as a finite difference matrix (eg using Matlab). The hamiltonian above is non-diagonal because differential operators aren't diagonal in the position basis. (even though paradoxically they come attached with a delta function).

Its important to remember that *all* operators should come with two indices. Just as a matrix has two subscripts, an operator on a function can always be thought of as a matrix multiplication by representing it with a kernel:
[tex] (\mathsf A \mathbf{f})(x) = \int dx' A(x,x')f(x')[/tex]
c.f
[tex] (\mathsf A v)_i = \sum_j A_{ij}v_j[/tex]

Once you realize that the differential operator is really
[tex] D(x,x')=\delta(x-x')\frac{d}{dx'}[/tex]
and that the position operator is really
[tex] X(x,x')=\delta(x-x')x'[/tex]
then the analogy with finite-d linear algebra becomes very clear, and constructing matrix elements doesn't feel as unnatural.
 
Thanks for your valuable help. It's clear now.
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K