Why is the Hamiltonian written as H|x> = E|x> instead of H|x> = |x>E?

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Homework Help Overview

The discussion revolves around the notation and properties of Hamiltonians in quantum mechanics, particularly focusing on the representation of eigenvalue equations and the implications of matrix multiplication in the context of diagonalizable matrices.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster questions why the Hamiltonian is expressed as H |x> = E |x> instead of H |x> = |x> E, citing confusion over matrix multiplication properties. They also inquire about the manipulation of eigenvalue equations involving matrices and eigenvalues.

Discussion Status

Participants are exploring the nuances of matrix multiplication and eigenvalue equations. Some clarify that while matrices do not commute, scalar multiplication does. Others discuss the conditions under which certain matrix properties hold, particularly in relation to orthogonal matrices.

Contextual Notes

There is an ongoing examination of the definitions and assumptions related to eigenvalues and eigenvectors, as well as the implications of matrix properties in the context of the original poster's questions.

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Homework Statement



i have matrix A which is diagonalisable

by doing an example on wiki under the section " how do diagonalise a matrix"
http://en.wikipedia.org/wiki/Diagonalizable_matrix

i realize that

A x is not equal to [itex]\lambda[/itex] x , where x are eigen vectors of A , [itex]\lambda[/itex] is eigen values

instead

x A = [itex]\lambda[/itex] x

and i think

A x = x [itex]\lambda[/itex]

QUESTION 1)
if this is so, why do they always write the hamiltonian as H |x> = E |x> ? shouldn't it be H |x> = |x> E ?

if i remembered correctly, for matrix multiplication AB =/= BA right?

but i read wiki and it says something like (i can't remember the exact phrasing)

"it is equal if both A and B are diagonalisable matrix , and are both n by n matrix. "


QUESTION 2)
also, for PT A P = [itex]\lambda[/itex]

if i want to "bring over" the P, is it like this

A = P [itex]\lambda[/itex] PT

but why is it like this?



thanks!
 
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You are right that matrices don't commute, however the multiplication of a matrix with a scalar (real or complex number) always commutes. So λx = xλ. What you write above is also not correct. Ax is not at all the same as xA, the wiki page is correct.

Question 2):

this works for so called orthogonal matrices where P^T * P = P*P^T = 1 (the identity matrix). It is not true for general matrices.
 
You do not have to choose orthonormal vectors for eigenvalues but you can. If you do then the matrix P is "orthogonal"- in particular [itex]P^T= P^{-1}[/itex]. Without P being orthogonal, that is not true but it is still true that [itex]P^{-1}AP= D[/itex] so, multiplying on the left by P and on the right by [itex]P^{-1}[/itex],
[tex]P(P^{-1}AP)P^{-1}= PDP^{-1}[/tex]
[tex](PP^{-1})A(PP^{-1})= IAI= A= PDP^{-1}[/tex]

In the case that P is "orthogonal", You can replace [itex]P^{-1}[/itex] with [itex]P^T[/itex].
 
oh shucks ... for question 1 i realize i multiplied the P ,matrix of eigen vectors, with the diagonal matrix eigen values

but in fact i think they are talking about the individual eigen value and eigen functions , not the combined P.

so yup i get it thanks everyolne!
 

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