Why do you need infinite size matrix which commute....

Click For Summary
SUMMARY

The discussion centers on the necessity of infinite-dimensional matrices in quantum mechanics, specifically regarding the commutation of position and momentum operators, as established by Heisenberg, Born, and Jordan. It is concluded that finite-size matrices cannot commute to yield a scalar multiple of the identity matrix, as indicated by equation [x, p] = ihbar. The infinite number of linearly independent wavefunctions on the real line necessitates the use of infinite-dimensional matrices, as each position eigenfunction represents a unique state that cannot be expressed as a linear combination of others.

PREREQUISITES
  • Understanding of quantum mechanics principles, particularly matrix mechanics
  • Familiarity with linear algebra concepts, including linear independence and dependence
  • Knowledge of operators and their representations in quantum physics
  • Basic comprehension of wavefunctions and eigenstates
NEXT STEPS
  • Study the implications of infinite-dimensional Hilbert spaces in quantum mechanics
  • Learn about the mathematical foundations of linear independence in functional spaces
  • Explore the role of position and momentum operators in quantum mechanics
  • Investigate the concept of eigenfunctions and their applications in quantum systems
USEFUL FOR

Students and professionals in physics, particularly those focused on quantum mechanics, as well as mathematicians interested in functional analysis and linear algebra applications in physics.

Phys12
Messages
351
Reaction score
42
...to give a number?

https://ocw.mit.edu/courses/physics...g-2016/lecture-notes/MIT8_04S16_LecNotes5.pdf

On page 6, it says,
"
Matrix mechanics, was worked out in 1925 by Werner Heisenberg and clarified by Max Born and Pascual Jordan. Note that, if we were to write xˆ and pˆ operators in matrix form,they would require infinite dimensional matrices. One can show that there are no finite size matrices that commute to give a number times the identity matrix, as is required from (2.13). This shouldn’t surprise us: on the real line there are an infinite number of linearly independent wavefunctions, and in view of the correspondences in (2.14) it would suggest an infinite number of basis vectors. The relevant matrices must therefore be infinite dimensional.
"

Equation 2.13: [x, p] = ihbar

2.14 Correspondences:
operators ↔ matrices
wavefunctions ↔ vectors
eigenstates ↔ eigenvectors

The part that I don't get is, "on the real line, there are an infnite number of linear independent wavefunctions." Why is it so? If I think of the real line and think of wavefunctions as vectors, every single vector will be linearly *dependent* not independent, right? What am I missing here?
 
Physics news on Phys.org
Phys12 said:
If I think of the real line and think of wavefunctions as vectors, every single vector will be linearly *dependent* not independent, right?
I think what you may be missing is the notion of what it means for two functions to be equal. Two functions are equal if and only if they have the same domain and, for every element of that domain, they give the same result. So the sine and cosine functions are unequal, even though they intersect infinitely many times on the real numbers (at ##x=(k+0.25)\pi## for any integer ##k##), because for all other inputs they give different results.

So for a set of functions to be dependent, there needs to be some linear combination of them that is the function that gives zero for every input - called the zero function.

The infinite set of functions:
$$\{x\mapsto \sin kx\ :\ k\in\mathbb Z\}$$
is linearly independent because there is no linear combination of them that gives the zero function.
 
Consider the usual 3d directions: x, y and z. These are linearly independent because there is no way to add a vector pointing in the x and a vector pointing in the y direction to get a vector pointing in the z direction.

On the real line, one can consider "wave functions" that are infinitely narrow and peaked or located at only a single position - let's call these position eigenfunctions. There is no way to add a position eigenfunction located at x1 and a position eigenfunction located at x2 to get a position eigenfunction located at x3. Thus the position eigenfunctions that are located at different positions are linearly independent.
 
  • Like
Likes   Reactions: Phys12

Similar threads

  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 12 ·
Replies
12
Views
5K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 62 ·
3
Replies
62
Views
10K
Replies
8
Views
4K
  • · Replies 26 ·
Replies
26
Views
6K
  • · Replies 4 ·
Replies
4
Views
3K
Replies
1
Views
3K
  • · Replies 13 ·
Replies
13
Views
4K
  • Poll Poll
  • · Replies 12 ·
Replies
12
Views
12K