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Linear algebra question (using braket notation). |
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| May31-08, 02:43 AM | #1 |
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Linear algebra question (using braket notation).
the question:
Let {|u>,|v>} be a basis for a linear space, suppose that <u|v>=0, then prove that: [tex]A|v>=<A>I|v>+\delta A|u>[/tex] where, A is hermitian operator, and [tex]<A>=<v|A|v>,\delta A= A-<A>I[/tex] where I is the identity operator. my attempt at solution: basically, from the definitions i need to prove that [tex]\delta A|u>=\delta A|v>[/tex] now, obviously <A>=<v|A|v>=[tex]\int du <v|u><u|A|v>[/tex]=0 cause <u|v> equals zero, so we actually need to prove that A|u>=A|v> but A|u>=u|u> where u is the eigenvalue of |u>, then if we multiply it by <u| we get: <u|A|u>=u (i guess that |u> and |v> are normalised), but from the same assertion as above we get that <u|A|u>=0 and so u=0, and so is v=0, so we get that A|u>=A|v>=0. is this correct or totally mamabo jambo as i think? |
| May31-08, 09:43 AM | #2 |
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Oh no there is something wrong in your argument. The vector u is orthogonal to v, it is a specific vector. When you invoke completeness you are summing over all vectors, and not just the ones orthogonal to v. It is not true that <A> = 0.
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| May31-08, 09:48 AM | #3 |
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The completeness relation in this problem is
[tex]|u><u| + |v><v| = 1[/tex] since u and v form an orthonormal basis. And you can say that also since they are a basis that there exists complex numbers [itex]\alpha, \beta[/itex] such that [tex]A|v> = \alpha |u> + \beta |v>[/tex] It is very easy to show that [tex]\beta = <A>[/tex] And then you're left with the other term, and maybe there the completeness relation is helpful. |
| May31-08, 12:38 PM | #4 |
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Mentor
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Linear algebra question (using braket notation).
It's easy to find an example that contradicts the assertion that you're trying to prove. If fact, since
[tex] A \left| v \right> = \left< A \right> \left| v \right> + \delta A \left| u \right> [/tex] is equivalent to [tex] A \left| v \right> - \left< A \right> \left| v \right> = \delta A \left| u \right> [/tex] and, from the given, [tex] A \left| v \right> - \left< A \right> \left| v \right> = \left( A - \left< A \right> I \right) \left| v \right> = \delta A \left| v \right>, [/tex] so your assertion is true iff [itex]\delta A \left| v\right> = \delta A \left| u \right>[/itex]. Maybe you're actually trying to prove the trivial [tex] A \left| v \right> = \left< A \right> \left| v \right> + \delta A \left| v \right> [/tex]. |
| May31-08, 12:53 PM | #5 |
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Mentor
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Cleary,the equations [itex]A \left| u \right> = \left| u \right>[/itex] and [itex]A \left| v \right> = 0[/itex] define a unique Hermitian operator [itex]A[/itex]. Now, [tex] \left< A \right> = 0 [/tex] [tex] \delta A = A [/tex]. Therefore, [tex] \delta A \left| u \right> = A \left| u \right> = \left| u \right> [/tex] [tex] \delta A \left| v \right> = A \left| v \right> = 0. [/tex] |
| Jun2-08, 10:23 AM | #6 |
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well i think that delta A is zero, becasue delta A is: sqrt(<v|A^2|v>-<A>^2) (and not an operator as i first thought)
and: <v|A^2|v>=beta^2 cause A is hermitian (becasue we know that hermitian matrices can always be diagonalize, by lagrange method of squaring) then A|v>=v|v> where v is its eigenvalue, and A|u>=u|u> from here its obvious that: <v|A|v>=v and <v|A|u>=<u|A|v>=0, and thus we get what we need. is my reasoning correct? |
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