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20:03
@imbAF $${a\!\!\!/}{b\!\!\!/}=a_\mu b_\nu\gamma^\mu\gamma^\nu$$
I did open it
But I am still researching it
So let's use the linearity of Trace and calculate $$\mathrm{Tr}({\gamma^\mu\gamma^\nu})$$
I was about to
calculate that
I assume that a and b can be taken out of the trace right?
That's the linearity I mentioned, yes.
Now I need to calculate trace of two matrices
20:06
How would you tackle this problem?
Well the tr(AB)=tr(BA)
where A and B are matrices correct?
That's correct and keep it in mind, but you have to do something else before that comes in handy
But even if that is the case, I need to show how its the case
I can't simply take it as true
I am thinking
I mean the only thing I can do is the clifford thing
other than that
@imbAF I mean, the cyclic property of trace? That's something you already know from linear algebra
@imbAF Then do it
I will stay 5 minutes more and then retire to my Japanese business
tsoto mate
$Tr(2g^{\mu\nu}-\gamma^\nu \gamma^\mu)$
20:11
Right, now?
than you have $Tr(\gamma^\mu \gamma^\nu)=-4 - Tr(\gamma^\nu \gamma^\mu)$
It should be 8
-8*
Yeah you know what I mean
cuz the metric is 1,-1,-1,-1
20:14
Wait, why minus?
No no no no
what?
The trace is calculated with one index below and one index above
In other words, you can take the sum of diagonal components only if you have a mixed tensor
what?
why?
mixed tensor?
$\mathrm{Tr}{T}:=g_{\mu\nu}T^{\mu\nu}$
Hey everyone
20:16
$T$ is a tensor with two upper indices
What is everyones specialty
Ok?
So $\mathrm{Tr}(g)=g_{\mu\nu}g^{\mu\nu}=\delta^\mu_\mu=4$
I don't understand
the metric tensor is 1 -1 -1 -1
the race is -2 however you look at it
I suggest to search the definition of the trace
3 mins ago, by Mr. Feynman
$\mathrm{Tr}{T}:=g_{\mu\nu}T^{\mu\nu}$
20:19
isn't the sum of the main diagonal elements?
No, it only is for tensors with one upper and one lower index
This is literally the first time I am being aware of this
You are looking at $g^{\mu\nu}$ now
never have I heard this before
To do what you want (i.e. just sum the diagonal elements) you have to consider $g^{\mu}{}_{\nu}$
The notation clearly means that I lowered one index
20:21
Yeah it clearly means
but I am dumbfounded from this
But, in case that you don't know, for a metric tensor, it's always true that $g^{\mu}{}_\nu=\delta^\mu_\nu$
clearly $g^{\mu\nu}$ if written as a matrix it is 1 -1 -1 -1
And you are telling me that, you cannot sum the elements cuz they don't give you the trace
@Mr.Feynman yeah I am aware of that
but that would be
$gg$
not g itself
Is more than understandable that the trace would change
since you are calculating it for two matrices that multiplied each other
Whenever you are asked to compute the trace of a tensor with two indices up or two indices down, you have to lower/raise one index and then compute the trace that you known
but if you would consider just $g^{\mu\nu}$ you get something different, because it is different than $gg$
This is the practical rule
20:24
I see
It's just the most general definition of traces
I can explain the reason why if you want to know
I mean I don't understand the logic but ok
I want to know why
and at the end tie it with my identity
Okay, so, what's an important property of the trace?
because having an 8 doesn't really solve it
Why are traces of matrices interesting, in other words?
@imbAF It does
20:25
Idk, maybe because they are conserved or something
@imbAF Yes, invariance.
always?
No! That's our problem here!
Hi @Mr.Feynman, @imbAF
How are you guys
If you sum the diagonal elements of a tensor with both indices above/below you won't get an invariant quantity
20:26
Learning dirac algebra
It's not Lorentz invariant
the tensor with both indices above/below ?
Its trace
is not invariant under LT?
Am I muted?
20:27
aha
I mean if you take the naive trace
@Michael You are not
@Michael No, Michael. You're not muted. Hello.
Thanks. I'm looking for a partner and mentor for a human powered aircraft project. I was formerly a software engineer, now I'm studying aeronautics and biomechanics
@imbAF if you're not a little bit familiar with tensor, this discussion will take longer than it should
20:29
Depends what you mean
with that
Like I know tensors order etc
But in my lecture
in the homework
no special attention is given to this
at all
Like this is new to me, what you are saying
What you really do in linear algebra is not computing traces of matrices; matrices are just matrices. You really compute traces of linear operators, which are represented by matrices
When we say that the trace is invariant we mean that once we express the operator in another basis i.e. its matrix changes, the trace is preserved
This you already know, don't you?
Isn't the linear operator something from physics
but no I didn't know that
Linear operator/linear map
20:32
mapping from where to where? curious here
I guess no one is interested
@Michael It appears that the users currently in the chat are not, we usually focus more on theoretical stuff in this room :P
I don't do biomechanics and aeronautics Michael, sorry
@imbAF From a vector space to another
that may be the same vector space
In our case, Minkowski space
Ok
gammas would be the linear operators?
20:35
You can think of gammas as operators but in another sense that we don't care about now. For all you care about now they are just matrices. The point is that - very roughly speaking - we have tensor indices and we should carry out the trace appropriately
ok
I'm afraid I can't give you the equivalent of a one-semester linear algebra course now, given that I also have to go. For the time being just keep in mind that whenever you have a trace, it means "contract with the metric tensor"
$\mathrm{Tr}{T^{\mu\nu}}:=g_{\mu\nu}T^{\mu\nu}$
and what would the result be then?
Of the original identity?
$\mathrm{Tr}{T^{\mu\nu}}:=g_{\mu\nu}T^{\mu\nu}$
lhs you have a trace
rhs you don't
what is the result. You want to calculate trace. RHS doesn't have one
20:38
The RHS is a number
It's Einstein convention
Ok
It's the definition of the trace
$\mathrm{Tr}{g^{\mu\nu}}:=g_{\mu\nu}g^{\mu\nu}=\delta^{\mu}{}_\mu=1+1+1+1=4$
Ok I will take it at face value
but I still can't argue it if I am askd
asked how the 8 comes out
when you have $Tr(2g^{\mu\nu})$
You don't argue definitions
Ok. I will just say this
@Mr.Feynman .
20:39
Yes, I'm sure that's understood in your course
It's not something your professor expects you to explain
It's like asking you to explain what's an integral
Out of curiousity I will ask anyone in class the next day
see how many are aware of this trivial thing that you just said
That being said, now you have $$\mathrm{Tr}(\gamma^{\mu}\gamma^{\nu})=8-\mathrm{Tr}(\gamma^{\nu}\gamma^{\mu})$$
Use the cyclic property in the RHS
Before you go
Could I also say: $Tr(\gamma^\mu\gamma^\nu)=Tr(\gamma^\nu\gamma^\mu)=Tr(\frac{1}{2}\{\gamma^\mu,\gamma^\nu\})=4g^{\mu\nu}$
20:44
Actually, yes
I will ask what we discussed because I am really caught off guard
It's almost the same thing done in reverse order
I will ask it tmrw in clas
Ok
I will leave you to your nippon
ciao
@imbAF Bye bye
ciao
 
2 hours later…
22:27
When we want to show that $\{\gamma_5,\gamma^\mu\}=0$ should we consider a specific value for $\mu$
or it can be shown without explicit value of it>?
 
1 hour later…
23:46
Interesting discussion on responsibility if AI/chatgpt’s providing incorrect information, albeit in a wholly different context: link.springer.com/article/10.1007/s00146-024-02096-7
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