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is phi star symmetric v2 REVIEWED
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Working notes by Phil dated 3.9.15, with review comments added 5.17.16, on whether φ* equals its transpose and whether φ* = R as operators. It examines bra-ket matrix elements across x-space and t-space (m by n non-square matrices), concludes that φ* and R have different cross matrix elements, and works through an index paradox involving <xes|xei> = Ris versus δsi.
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Is it possible that φ* is symmetric? PhL 3.9.15
5.17.16: Early fiddlings where φ* is still an operator and not a function. Is φ* = φ*T ? Also early appearance of my index paradox. Perhaps I was thinking of λ'i = <u'i| at the time which is wrong. Since this operator went away, I don't worry about whether or not it is symmetric!
In general
<a| Q |b> = <a |Qb> = <QTa|b> aTQb = aT (Qb) = (QTa)Tb
Then if things are real we have
<a |Qb> = <Qb |a> = <b|QT|a>
So if you could show that
<a| Q |b> = <b| Q |a>
for an entire basis, then you would know that Q = QT.
Comment: I think one generally assumes that the bras and the kets are in the same space. You can have basis change stuff like <p|x> in QM, so what exactly is that "space"? In QM it is the state of a particle.
So consider:
φ*T | xui> = Σj=1n Rij | tuj>
Then think about
<tus| φ*T | xui> = Σj=1n Rij <tus| tuj> = Ris
= <xui| φ* | tus>
So for the entire basis in both spaces we know that
<tus| φ*T | xui> = <xui| φ* | tus> = Ris = a real number
I don't think you could ever say that φ*T = φ* because these two operators act on different spaces acting to the right, for example.
Specifically, you can see that φ* acts on x-space to the left, but acts on t-space to the right, and φ*T does just the opposite.
What I know is valid is the following:
(xui) = R(tui) i = 1..n // component transformation
(xui)r = Σs=1nRrs(tui)s r = 1..m , but i = 1..n only
This tells you how to compute the components of a vector in one space from the components of all the vectors in the other space. I think we should avoid trying to align the spaces. For example, you could try to write the following vector statement
(xui) = Σj=1n (aij) (tuj) only for the subspace i = 1..n wrong
but I think this is illogical. You should not try to write an x-space vector as a lincomb of t-space vectors. Similarly this makes no sense:
< tua| xui> = Σj=1n (aij) < tua| tuj> = aia wrong
because you are doing the scalar product between two different spaces.
Now go back to this item from above
φ*T | xui> = Σj=1n Rij | tuj>
Both sides are vectors in t-space, so consistent with itself.
Consider this graphical representation of the above equation just to have it in mind,
Now here is the transpose. Again both sides are t-space vectors,
<xui | φ* = Σj=1n Rij <tuj | i = 1,2..m
Close on the right with | tur> to get
<xui | φ*| tur> = Rir = (φ*)ir i = 1,2..m r = 1,2..n
A related matrix element is
<xui | R | tur> = <xui | xur> = δir i = 1,2..m r = 1,2..n
This shows that operators φ* and R do NOT have the same cross matrix elements
<xui | φ*| tur> = Rir
<xui | R | tur> = δir
Any claim that φ* = R (as operators) is therefore incorrect. So everything below is wrong.
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So in cross-space sense, we find that the matrix elements of the matrix φ* are simply
(φ*)ir = Rir
Question: Does this somehow mean that φ* = R and that is all there is to it? Consider reversing the bra ket to get
<tur | φ*T | xei> = (φ*T)ri = Rir
This just seems to say that with covariant transpose, (φ*T)ri = (φ*)ir which I like. So no conflict there.
So in this cross basis, it seems that we have simply
φ* = R
what could possibly be simpler.
Write graphically as <xei | φ*| tur> = Rir = (φ*)ir :
This tells me that φ* is not some abstract operator, it is a matrix with m rows and n columns. It is therefore a linear operator. It is non-square of course. What exactly are the elements of this matrix?
[φ*T] (xei) ≡ Σj=1n Rij (tuj) i = 1..m (10.6.9)
(xei)T [φ*T] (tur) = Rir
These are the matrix elements in this cross basis. We know that
(xei) = Rut(tui) (xei) = R(tui) (xei) = Rij(tuj) = (Rut)ij (tuj)
(xei) = Rdt(tui) (xei) = R(tui) (xei) = Rij(tuj) = (Rdt)ij (tuj)
so
(xei)T = (tui)TRutT where T means the matrix transpose
Then I can write
(tui)T RutT [φ*T] (tur) = Rir
(tui)T [φ*Rut]T (tur) = Rir
Is this of any use?
Here is the Big Paradox:
Now consider my definition of φ*T
φ*T | xei> = Σj=1n Rij | tuj>
Based on what is stated above, that (φ*)ir = Rir so φ* = R, it would seem that
RT | xei> = Σj=1n Rij | tuj>
Can I prove this claim directly? I know that
(xei) = Rut(tui) or |xei> = R| tui>
So then I have to show that
RTR| tui> = Σj=1n Rij | tuj>
or
<tus| RTR| tui> = Σj=1n Rij <tus| tui> = Ris
Maybe rewrite as
<R tus | R tui> = Ris
And then use
| R tui> = | xei>
< R tus| = < xes|
Then the above is claiming that
< xes| xei> = Ris
This is the first appearance of this equation in this document.
Nor does this appear in Section 10-6 v1. Maybe this is the missing link.
But look at
en em = g'nm
en em = δnm
en em = g'nm . (7.18.1)' (2.3.2)
This would argue that
< xes| xei> = xes xei = δsi
which then conflicts with < xes| xei> = Ris !!!
Plan A: Go back to this statement from 10_6 v2:
(xei) = R(tui)
or
(xei)j = Σa=1n Rja (tui)a = Σa=1n Rja δia = Rji i = 1,2...n j = 1,2..m . (10.6.4)
How might we raise the label i ? From the second line it would seem that
(xei)j = Rji (xei)j = Rji
and (xei)j = Rji
but the first line is less obvious. Maybe rewrite the second line as
(xei)j = Σa=1n Rja (tui)a = Σa=1n Rja δia = Rji
Then you could write
(xei) = Rut (tui)
and then we have these two lines:
(xei) = Rdt(tui)
(xei) = Rut(tui)
Summarizing the second case:
(xei) = Rut(tui)
(xei)j = Σa=1n Rja (tui)a = Σa=1n Rja δia = Rji
and this agrees with what I had.