Casually bashing the idea of society funding people doing a PhD on something because 'nobody will read it', and whining about not wanting to pay taxes for this kind of thing, basically anti-science at its finest
I think Nakahara's book is defining an extremely general idea of adjoint. it is the notion of adjoint of functions $f: V \to W$ where $V$ and $W$ can be different vector spaces
I am having a tough time understanding adjoint of a linear map.
Consider a linear map between two vector spaces $\, f:V\rightarrow W,$ let us denote $f^*$ to denote its adjoint.
Accroding to this video https://www.youtube.com/watch?v=SjCs_HyYtSo (around time 5:50) the author explains that adjoi...
It's not difficult it's done in an abstract linear algebra course, basically it's just exploiting the relationship between a linear functional and an inner product, you can probably use the Riesz Representation theorem to justify it in a general manner on Hilbert spaces
I don't know what this means. I just know that one can define the transpose basis independent, and if you go in a basis, then this coincides what people do when they take the transpose of a matrix
It's just that a linear map f : V -> W 'induces' a linear map f* : W* -> V* through the fact that for f(v) in W to any linear functional L : W -> R on W we can re-interpret L[f(v)] as the result of a linear functional f*[L] : V -> R on V instead via L[f(v)] := f*[L](v)
for the sake of simplicity, let us consider two finite-dimensional complex vector spaces $V,W$, and a linear map $A:V\to W$. Then its transpose $A^t: W^*\to V^*$ is linear and well defined by $A^t(\phi):=\phi\circ A$ for $\phi\in W^*$, i.e. $\phi: W\to \mathbb C$.
no, you don't need the "adjoint", which anyway requires an inner product (if you mean adjoint notion of linear operators on Hilbert spaces)
@ACuriousMind thanks, I'll have a look. I thought it just means that a given tensor (field) expressed in a basis, the coefficients transform in a certain (well-defined) way, no?
@bolbteppa you can use MathJax here too, btw. makes it easier to read for everyone
In linear algebra, the transpose of a linear map between two vector spaces, defined over the same field, is an induced map between the dual spaces of the two vector spaces.
The transpose or algebraic adjoint of a linear map is often used to study the original linear map. This concept is generalised by adjoint functors.
== Definition ==
Let
X
#
{\displaystyle X^{\#}}
denote the algebraic dual space of a vector space
X
.
{\displaystyle X.}
Let...
@TobiasFünke Sure - if you start with the abstract objects, it's just a statement about the transformation of the coefficients in a basis. The answer is about explaining in terms of the math formalism what we're doing when we claim that just specifying a bunch of numbers that "transform like a tensor" constitutes a definition of a tensor field (rather than already having the abstract object and just expanding it)
The wiki of the transpose in the Hermitian adjoint section explains the subtle difference which is probably what you really meant earlier about QM books vs math books being slightly different
@ACuriousMind the example I am thinking of is $\Lambda_{\nu}{}^{\alpha} \Lambda_{\mu}{}^{\beta}\eta_{\alpha \beta} \rightsquigarrow [\Lambda] [\eta] [\Lambda^T]$
@RyderRude I mean, it might be that various concepts have similar or even the same maps. But for me it makes the most sense as I've laid out. The adjoint, in my terminology, is a map on the Hilbert space itself (and not on its dual)
@SillyGoose I suspected that, and that's exactly the special caase of tensors with 2 input/indices - there's no notion of "transpose of a tensor" in general, you tried to abstract the situation too much as so often ;)
A (1,1)-tensor at a point is an element of $V\otimes V^\ast$ (where $V$ is the tangent space), so it is equivalently a map $\Lambda : V\to V$. The completely ordinary linear algebra definition of the transpose applies: This has a transpose $\Lambda^T : V^\ast \to V^\ast$, which is equivalently an element of $V^\ast \otimes V$.
Let $[\Lambda] \rightsquigarrow \Lambda^\mu{}_\nu$. Okay so the identification $[\Lambda^T] \rightsquigarrow (\Lambda^T)_\mu{}^\nu$ reflects that fact that we've dualed the domain: $V \otimes V^* \mapsto V^* \otimes V$ because dualing the domain is precisely reflected by raising/lowering a lowered/raised index?
If you're not comfortable with how this relates to the indices, I can understand that since I think one just has to do this kind of symbolic manipulations a lot to become comfortable with them, but there isn't even really anything specific to "tensors" here, it's just linear algebra and switching between the abstract descriptions and the index expressions
@SillyGoose well you have to have a convention for what index position corresponds to an element of $V$. If you would write a vector in $V$ as $v^\mu$, then the elements of the dual $V^\ast$ have the lower position $v_\mu$, and so elements of $V\otimes V^\ast$ have position ${\Lambda^\mu}_\nu$ and elements of its dual $V^\ast \otimes V$ then ${\Lambda_\mu}^\nu$.
okay i see. so naturally, we should have $\Lambda^\mu{}_\nu \sim \Lambda \in V \otimes V^*$. Then, $\Lambda_\mu{}^\nu \sim \Lambda^T \in V \otimes V^*$. Is it also a convention to choose the tensor factor order?
also, sure, you might call it a "convention" to have the indices on the tensor in the order of the factors, but frankly I would find any other convention just wrong :P
@ACuriousMind Actually I am confused by your first sentence here. If $\Lambda \in V \otimes V^*$, then I can see how to induce a map $\Lambda': V \to V^*$ or $\Lambda'': V^* \to V$, but I am uncertain what you mean by the map $\Lambda: V \to V$
I am reading that a linear operator $A$ can be thought of as a (1,1) tensor [where $(r,s)$ corresponds to $r$ vectors and $s$ dual vectors]. This can be done by saying
$$A(v,f) \equiv f(Av)$$
where $v$ is a vector and $f$ is a dual vector.
I assume the $Av$ in the argument on the rhs corresponds ...
@TobiasFünke caution: Hilbert spaces are isomorphic to their duals (and hence to their double duals), but infinite-dimensional Hilbert spaces do not have that $\mathrm{Hom}(H,H)$ is the same as $H\otimes H^\ast$ (the latter are the Hilbert-Schmidt operators, which are a subset of all operators).
@SillyGoose I don't know what you mean. For a simple tensor $v\otimes f\in V\otimes V^\ast$, you define the corresponding map $V\to V, w\mapsto f(w) v$. By linearity, this extends to all tensors, defining the isomorphism between the tensors and the maps.
if you unpack the entire tower of definitions, in the end in index notation this turns out to just be the "contract the vector's upper index with the tensor's lower index"
i guess i was getting confused with the domains. i see now that the map is really some $T: (V \otimes V^*) \times V \to V$. Then we can fix a $f \in V \otimes V^*$ and just get a map $T_f: V \to V$.
@TobiasFünke I think I was saying that there is a way to consistently use $V^* \otimes V$ as the "undual space" and $V \otimes V^*$ as the "dual space" if you make appropriate redefinitions of your "undual space vectors" and etc.
@TobiasFünke i think this definition is good too, but i associate a transpose as something which takes a $v^a _b$ tensor to a $v^b _a$ tensor. this idea of a transpose is defined as an adjoint in the abstract
This is the same problem that I had when in classical EM one introduces the quadrupole "tensor". Or any time in classical physics when a "tensor" is introduced. They say that the order of index do not matter, that whether it is a (1,1) a (2,0) or a (0,2) tensor does not matter. But I think it does matter because one needs to consistently use the standard convention, and I have never had the standard convention spelled out.
@ACuriousMind For what object the stress-energy tensor should be, the quadrupole tensor should be, the Lorentz transformations in the fundamental representation should be, etc. I mean these should all really be fixed by defining the convention for vectors I imagine.
physics always has the problem that most courses do not establish the mathematics well, and from my experience I can say that it can be quite a mess to find out what precisely is meant
@SillyGoose but that all just follows from the definition, no? A Lorentz transformation in its most basic form is just a transformation that maps vectors to vectors and so is equivalently a (1,1)-tensor, etc.
Concretely, the quadrupole tensor is called a (2,0) tensor a (0,2) tensor or a (1,1) tensor interchangably. But obviously which object you use changes how you do computations concretely with them because you need to appropriately "process" the inputs according to how you're writing down the quadrupole tensor.
I think the problem you are encountering is just that people may use different (but equivalent or at least equivalently useable) definitions, for which there is no cure :P
translating between different conventions for index position or signs or whatever is just a curse fact of life when you're reading more than one source on something :P
well i wish physicists would just stop trying to use the word tensor when they just end up always writing down a matrix anyways!
why call the moment of inertia a tensor if you do not use any of the tensorial properties (at least this was the case in my classical mechanics course)!
i mean who started this. physicists always emphasize when something is a tensor and not a matrix. then they proceed to only use a tensor in the form of a matrix. so what are they trying to say :P
(wait until you realize that "tensor" to a physicist may mean both "tensor" in the linear algebra sense and "tensor field" in the diff. geo. sense and they never even seem to clearly state that those are distinct notions :P)
@RyderRude do you mean by that that if you have a matrix $M$, then the transpose $M^T$ is just the transpose "we know"? if yes, then this is precisely what my definition does, I think
I share your outrage at this state of affairs but there is no secret text that resolves this - the only winning move is not to play (i.e. become a mathematician) ;P
blebolus. i mean if they just taught the basics, it would even be much easier to compute the quadrupole tensor. if you treat it as a $(1,1)$ tensor, then all you are doing is taking the outer product (or tensor product of a covector and vector) to produce an appropriate matrix. which is much easier than applying some clunky (but equivalent) explicit formula for the quadrupole moment...
well I think all physics students should take an abstract linear algebra early i think :P (not those silly courses that focus on computing row-echelon forms or whatever)
(Perhaps this is too off-topic or sensitive) But is germany okay :P? An american news outlet describes germany as currently going through a difficult economic and political time.
I mean, in news it always sounds worse than it is, no? I'd say we are still fine, but globally of course there are many crises; in Europe, for example, many governments are not stable...
and yes, politically it is not easy... we have new elections in 2 months
@SillyGoose yeah what is up w this btw xD i mean i even took the math majors linear course and the entire time we just did various decompositions by hand
but i just recalled a funny story -- so in my apple notes it tries to autocorrect schrodinger to stronger. when i was a child and i'd right click the red underlining and saw the option "add to dictionary" i would never use that thing bc i thought it was a worldwide dictionary and i was afraid of adding smth wrong to the global dictionary, therefore creating a typo pandemic.
i was like "wow i cant believe i have the power to influence the worldwide dictionary i better use this power wisely"
@ACuriousMind do you mean the whole physicists not distinguishing a thing evaluated at a point versus on a space slight of hand? or that a tensor field (notion 2) cannot be thought of as a field of tensors (notion 1) straightforwardly?
@qwerty it's some mixture of the two: Of course you can consider a tensor field as taking the value of a tensor at each point, but it's a tensor on a different space at each point (the tangent space at that point)
@TobiasFünke no, but I know (and like) Schottenloher's CFT book
can I ask you a specific question to the book I refer to? I have a quick question which I think you can immediately answer. But of course, only if you have time
As far as I understand, he defined $\Delta:V\to\mathbb R$ to mean the time difference between any two events, which I so far understand (hopefully correctly). He then proceeds and defines $V_t:=\Delta{-1}(t)$, which I interpret as the pre-image.
$T_p M$ is a vector space, so the usual linear algebra concept of tensor applies and makes this a proper definition. The total bundle space $TM$ is not a vector space, there is no such thing as a "tensor on $TM$" if that's the confusion
@TobiasFünke No, you misunderstood $\Delta$. $\Delta$ is just a map that assigns to any element of $V$ its time (it's the projection $\mathbb{R}^{4}\to\mathbb{R}$ onto the time component of $(t,x,y,z)$ in the standard case).
@ACuriousMind well, yes I see this. But given two events $a,b\in M$, s.t. $a+v=b$, then $\Delta(v)=t$ means that the time difference between $a$ and $b$ is $t$, no?
which is also what the claims "objektive Zeitunterschied", I think
so my problem is the misunderstanding of $V_t$, I believe. from the mathematical definition it seems something like "all vectors which, when added to an event, yields an event with time difference $t$" (?). But as far as I understand the text, it is more like they "describe" slices of equal times. Also the picture on p.54 is kind of confusing...
@TobiasFünke Ah, yes, the section is formulated confusingly: I think what's meant here is that of course $M$ and $V$ are not really different - the affine space $M$ is just $V$ without an origin chosen. So you can fix some arbitrary origin in $M$ and then the foliation of $V$ by the $V_t$ turns into a foliation of $M$ by some $M_t$.
the picture contains the same conflation of $M$ and $V$
yes, okay, that was also what I've thought, especially with the next paragraph, where he chooses $M=\mathbb R^4$ and $V$ the same (but with vector space structure)...
but choosing an origin feels...not good
haha
anyway, thank you! much appreciated. so far I liked the book, though
if you think about it the foliation of $M$ itself remains the same, just the $t$ you label the $M_t$ with shifts by adding a constant (the time difference between the previous and the new origin)
@SillyGoose One has to be very careful. Most objects encountered in SR are not tensors hence the name $4-$vector. They transform like a tensor but only under Lorentz transformations. If one does a general coordinate transform, one will find that the object they are considering no longer transforms like a tensor. In SR, quantities such as $\mathrm{d}x^\mu$ are tensors since they transform under the correct law for general coordinate transformations, but objects such as $A^\mu$ are not
Since they only follow the tensor law of transformation for Lorentz transformations
You can see they are not tensors if you try to convert a quantity like $A^\mu$ from cartesian to spherical coordinates
not anything specifically right now. i am just taking courses. i am hoping to move into some condensed matter theory that involves topology/geometry :P