On Wed, Jul 30, 2025 at 9:42 AM Alan Grayson <[email protected]> wrote:

> On Tuesday, July 29, 2025 at 5:33:40 PM UTC-6 Brent Meeker wrote:
>
> On 7/29/2025 1:12 PM, Alan Grayson wrote:
>
> On Tuesday, July 29, 2025 at 2:04:31 PM UTC-6 Brent Meeker wrote:
>
> On 7/29/2025 7:18 AM, Alan Grayson wrote:
>
> Assuming we know all possible results of the measurements of a quantum
> system, that is, the set of possible eigenvalues, and suppose we also know
> the associated eigenfunctions, and we write the wf of the system as a
> linear sum of eigenfunctions each multiplied by a complex constant, is it
> mathematically assumed, or proven somewhere (perhaps by Von Neumann), that
> these eigenfunctions are orthogonal and form a basis for the Hilbert space
> in which they reside? TY, AG --
>
> Yes, that's pretty much it.  The physical system, including the ideal
> measurement, is modeled by a certain Hilbert space in which the basis
> states are the eigenfunctions the measurement.  This is implicit in the
> concept of an ideal measurement as one, which if immediately repeated on
> the same system, returns the same value again.
>
> Brent
>
>
> But is it proven or assumed the eigenfunctions in the sum are basis states
> which span the space? If proven, where, by whom; if not, then the construct
> lacks rigor.  AG
>
> It's true by construction that the eigenstates span the Hilbert space.
> "The Hilbert space" is the space whose bases are the eigenstates.
>
>
> What does "true by construction" mean? Does that include orthogonality of
> the basis eigenstates? AG
>

A lot of these things are proved in Dirac's book "The Principles of Quantum
Mechanics". For example, the orthogonality of the eigenfunctions of a
single operator is proved on page 32 (of my edition). "Two eigenvectors of
a real dynamical variable belonging to different eigenvalues are
orthogonal".

Any set of linearly independent vectors forms a possible basis of a vector
space if the number of linearly independent vectors equals the dimension of
the space (The linearly independent vectors need not form a mutually
orthogonal set, as long as they are linearly independent.)

Bruce

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