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2:31 AM
@BernardMeurer I meant in general.
 
@DanielSank I know, just messing with you
Okay, I need me some bomb ass linear algebra
because I'm not getting what this tensor product means
 
@BernardMeurer where are you reading about it
 
I came by it in this article
and I just dunno what that does
why is he using a tensor product there and not some other product
@DanielSank ?
$|19\rangle_6 = |010011\rangle$ wat
 
user116211
: o/
 
AH
I GET IT
no wait
@MAFIA36790 o/
Ah yeah I get it
 
user116211
2:54 AM
okay I'm having some problem in typing here ;(
 
@BernardMeurer yes?
 
@DanielSank I think I got it :)
 
user116211
My right shift button is not working? T__T
 
You want to understand what a tensor product is?
 
I have no clue what a tensor product is, but I understand how it's being used
 
user116211
2:55 AM
@DanielSank: o/
 
It's rather simple, but don't listen to what any of the other folks around here tell you.
 
If you want to teach me I'll be grateful :)
 
@MAFIA36790 \o
@BernardMeurer Do you know what a tensor is?
 
@DanielSank Isn't it like a vector with extra magic?
Or less magic
 
@BernardMeurer That's vague enough to not be incorrect :)
 
2:56 AM
I remember it having something to do with vectors
 
user116211
@BernardMeurer hahaha...yeh quite sort; but vector is under tensor
 
@DanielSank That's how I finished high school
 
@BernardMeurer You know what a vector is?
 
@DanielSank It's an something in a vector space :v
 
@BernardMeurer Sure.
 
2:58 AM
But then idk what it really means
I just know that an element of a vector space is a vector
 
A vector space is a set of things which can be added together to get another one of those things, and which can be multiplied by a scalar to get another of those things.
So, for example, the set of all velocities in 3D space is a vector space.
You can add two velocity vectors to get another velocity vector.
 
Ah, I see, makes sense
 
Here's another example: the set of all functions of a real number.
That's a vector space because given two elements $f$ and $g$ I can get another element by $h$ defined as $h(x) \equiv f(x) + g(x)$.
 
But what if I throw in $f(x) = xi$ ?
Wouldn't that yield a complex? Or is that cheating?
 
@BernardMeurer No problem. I said function of a real number.
 
3:01 AM
Ah, got it
Alright, jolly good so far
 
If we have $f: x \rightarrow ix$ and $g: x \rightarrow x^2$ then $h(x): x \rightarrow x^2 + ix$ is still a function of one real number.
@BernardMeurer Ok, so now you know what a vector is.
 
Okay, so is a vector a kind of tensor?
 
Hold on.
Getting to that.
 
Alright
 
Given a vector space, you can consider the set of linear functions on that vector space which return a real number.
For example, suppose our vector space is the set of pairs of two real numbers.
So, for example, $|v\rangle = (3,4)$ and $|w\rangle = (-1,2)$.
Ok?
 
3:04 AM
Yeah, sounds fair
 
Note that $|v\rangle$ is just notation meaning "the vector named $v$".
 
Kets are just vectors, no reason to be scared
 
Ok, well, we can cook up one of these linear functions by defining it like this:
$f: (x,y) \rightarrow (x \times -1, y \times 2)$.
In other words, $f: \vec{v} \rightarrow \vec{w} \cdot \vec{v}$.
Or in other words, $f: |v\rangle \rightarrow \langle w | v \rangle$.
 
Wait wait
AH
 
I'm intentionally showing you many ways to write the same thing, so you're not surprised by new notation later in your life.
 
3:06 AM
Got it
okay
 
Okay, so we have discovered a linear function of vectors in our vector space, namely the one defined by the inner product with $|w\rangle$.
 
so a bra-ket is just a dot product?
 
@BernardMeurer Correct.
 
inner product == dot product?
 
@BernardMeurer More or less.
Any inner product can be expressed as a dot product. I don't want to get into that yet.
 
3:08 AM
Alright, that's okay
 
For our purposes right now inner product and dot product mean the same thing.
Oh, and I want to point out another example of these linear functions on a vector space.
Remember our vector space of functions?
 
Yeah?
can you make a vector space of vector spaces?
like, a vector-space²
 
Here's a linear function on it: $f \rightarrow \int f(x) g(x) \, dx$ for some vector (i.e. function) $g$.
It's linear because $\int (f + h)(x) g(x) \, dx = \int f(x) g(x) \, dx + \int h(x) g(x) \, dx$.
Ok?
 
@DanielSank Let $W$ be an $R$ module, $R$ a commutative ring
 
Wait I'm processing
 
3:12 AM
@0celo7 Busy. Sorry.
 
@DanielSank Alright, got it
 
@BernardMeurer Excellent. When you have a vector space, these linear functions of those vectors are called "co-vectors".
The co-vectors themselves form a vector space.
 
@DanielSank wait a moment
what about the linear functions OF the linear functions
what about those
 
@0celo7 Please stop.
 
?
 
3:16 AM
@BernardMeurer do you see that the co-vectors are a vector space? Try going through one of our examples above.
 
@DanielSank Alright I'm following. Why are they special enough to get a name?
 
You'll see in a few minutes.
 
Okay, so far I'm with you
 
Perhaps it will be more obvious if we take a common example. Ever heard of a gradient?
 
@DanielSank The word isn't strange to me, not sure I recall the meaning
 
3:17 AM
@DanielSank Yes
 
@0celo7 Please stop.
 
?
 
@BernardMeurer I mean, the gradient of a function.
If you don't know about that it's fine, we can move on without it.
 
@DanielSank Isn't that like differentiation but more general? That's all I remember
 
@DanielSank I can explain things goodly, I think I got my girlfriend to understand what a homeomorphism is
 
3:19 AM
::0celo7 is awarded the physics pedagogy prize::
 
>physics
the fuck?
 
@BernardMeurer Ok forget the gradient.
 
@DanielSank since when is topology physics
 
@DanielSank Alright, forgot it
 
@0celo7 Please stop.
 
3:20 AM
Ok, what the fuck is it this time?
 
@BernardMeurer Ok, well, a tensor is simply a linear function which takes as arguments some number of co-vectors and vectors, and returns a number.
So, a co-vector is a tensor because it eats one vector to produce a number.
Similarly, a vector is a tensor because it eats one co-vector to produce a number.
A matrix is a tensor that eats one co-vector and one vector to produce a number.
@BernardMeurer ok?
 
Wait wait, let the Pentium III here process this
 
@BernardMeurer ok
I'll type a few more things while you process.
 
1.4GHz of power
 
The inner product is a tensor: you can think of it as the tensor which eats two vectors and returns a number.
 
3:23 AM
Okay I think I got this
 
@BernardMeurer Note that DS's construction works more generally with modules instead of vector spaces
 
@0celo7 He's in high school.
 
@DanielSank I knew that in high school
 
@DanielSank I'm done with high school, it's my one victory don't take it away from me :p
 
Why do you always come here and interrupt discussions by pointing out mathematical generalizations that you know the other participants don't know about?
 
3:24 AM
@DanielSank Okay, I got the inner product being a tensor part
 
I perceive it as selfish, @0celo7. At least ask the participants if they know the constructs you're mentioning.
 
@DanielSank extreme autism, probably
 
Ah, yes, the ignore feature, my old friend.
 
Damn, foiled again
 
@BernardMeurer Great!
Now here's the cool part.
Well actually first some vocabulary...
 
3:27 AM
@DanielSank :D
 
Suppose our tensor eats $k$ vectors and $l$ co-vectors. We will call this a $(k, l)$ tensor or a "tensor of rank $(k, l)$".
 
Alright
 
Hmm, I think it's the other way around
 
Ok, now the cool part.
 
Okay I'm getting excited
 
3:28 AM
Any tensor can be constructed by summing together several pieces, each of which is formed by gluing together vectors and co-vectors. This "glue" is the tensor product, denoted $\otimes$.
 
@BernardMeurer Yeah, a (k,l) tensor takes l vectors and k covectors.
 
Let's try the inner product as an example.
 
So any given tensor can be divided into a series of tensor products of vector and co-vectors?
 
@BernardMeurer Yes.
Let's do an example.
 
Alright, inner product
 
3:31 AM
Given two vectors $(a_0, a_1,\ldots a_n)$ and $(b_0, b_1,\ldots b_n)$, the inner product ought to be $\sum_i a_i b_i$, right?
 
Wait, what's $i$?
 
An index that runs from 0 to $n$.
 
@BernardMeurer an index taking the values 0,1,...,n
 
Oh alright, silly question, got it, yeah
 
@BernardMeurer Alright. So let's see if we can construct this by gluing together vectors and covectors.
Let's write it out:
$a_0 b_0 + a_1 b_1 + \cdots + a_n b_n$.
I'm claiming that this thing can be broken down into a sum of glued vectors and co-vectors.
So, let's focus on the first term: $a_0 b_0$.
What does that term mean?
 
3:35 AM
Is that rhetoric?
 
It means that if we feed the tensor a covector $a$ and a vector $b$, then the tensor multiplies their $0^\text{th}$ components together.
 
AH, yes, it does mean that
 
Yes :)
Ok well, is there a co-vector whose action is to just grab the $0^\text{th}$ component of a vector?
Yes there is.
In fact, the act of "grabbing the $0^\text{th}$ component of a vector is a co-vector by definition.
$(a_0, a_1, \ldots, a_n) \rightarrow a_0$ is a linear function.
So it's a covector.
 
Still with me?
 
3:37 AM
Cool!
 
Now, notice this: This particular co-vector has the property that it returns 0 on any basis vector except the $0^\text{th}$ one.
 
Okay, makes sense
 
Suppose we have an orthogonal basis of our vector space $\{ e_i \} = \{e_0, e_1, \ldots e_n \}$.
You now see that each basis vector has a uniquely associated covector, which we denote $f_i$ for now, with the special property that $f_i$ acts on the various $e$'s and returns 1 only for $e_i$ and zero for all the others.
In your mind, think of the $e_i$ as columns of numbers and the $f_i$ as rows of numbers. They're transposes.
 
Well every vector in existence has a covector right?
 
@BernardMeurer Yes. This is why they're called "covectors".
 
3:41 AM
@DanielSank Yeah, exactly, so the basis vectors must do too; neat
 
@BernardMeurer Yeah.
 
Okay I can visualize the column x row diagram
 
Good.
 
@BernardMeurer What do you mean by that?
 
Now let's define $\otimes$.
Suppose I have two vectors $v$ and $w$.
We can make a new tensor called $v \otimes w$ with the property that:
 
3:42 AM
or $|v\rangle$ and $|w\rangle$!
 
$(x \otimes y)(u, v) = x(u) y(v)$.
 
Okay that one boggled me a bit
 
Ok, here $u$ and $v$ are co-vectors.
Oh crap.
 
you used the same letters and you shouldnt?
 
@BernardMeurer Yeah, fixed.
 
3:44 AM
Ah, yeah now it makes more sense hahaha
 
$x$ and $y$ are vectors, $u$ and $v$ are covectors.
 
Okay I get that
 
Yeah, so that's what a tensor product is.
Now we see that the inner product is just this:
$f_0 \otimes e_0 + f_1 \otimes e_1 + \cdots + f_n \otimes e_n$.
 
but wait, how are you defining $\otimes$ by using $\otimes$?
 
@BernardMeurer I defined $\otimes$ above without using itself.
 
3:48 AM
Yeah and that part I got
but now you said that $\otimes$ is just $f_0 \otimes e_0 + f_1 \otimes e_1 + \cdots + f_n \otimes e_n$ and that I don't get
 
@BernardMeurer inner product :)
 
AAAH
My bad, my bad
Okay, following ya
 
@BernardMeurer So that's kinda it.
Tensor product is a way to glue two smaller tensors together to get a new one.
The inner product is a really common case of a $(1, 1)$ tensor.
 
@DanielSank Damn man thanks!
 
In a sense, any matrix is a (1, 1) tensor.
You feed it a row (covector) on the left and a column (vector) on the right, and it returns a number.
Oh, one more thing:
If you have a $(k, n)$ tensor and you feed it one vector, you get a $(k-1, n)$ tensor.
 
3:52 AM
Why's that?
 
This is kind of how if you multiply a matrix on the right by a column you get a column back.
 
sigh, other way around
 
@BernardMeurer Well, because what you're left with is a thing that needs 1 less covector to eat before it gives a numbers.
@0celo7 Actually, I think I got it right.
 
@DanielSank $(k,n)$ has $k$ upper indices and $n$ lower.
 
@0celo7 Oh I did the whole thing backwards? Ok whatever.
@BernardMeurer We may have swapped the $k$ and $l$ in $(k, l)$. Whatever.
 
3:54 AM
@DanielSank It's okay I got it still
 
Yeah none of this is that complicated.
 
so in $(k, l)$ $k$ should be the vectors and $l$ covectors?
 
@BernardMeurer Yes.
 
You'll hear people say that a tensor is something that transforms a certain way. That's a different but equivalent construction and in my opinion it's considerably less easy to understand.
 
@DanielSank Well that's really only something that makes sense in the geometrical setting with tensor fields.
 
3:56 AM
You will constantly encounter physicists who mix up tensors with their representations in a particular basis.
 
@Slereah take note ^
 
So if I have a $(k,l)$ tensor and feed it one vector I'll get a $(k,l-1)$ tensor?
 
@BernardMeurer Yes.
 
Hmm, cool stuff
 
@BernardMeurer I take it you don't want the module-theoretic definition of the tensor product?
 
4:00 AM
@DanielSank and now to the initial question, why does the guy in this article (page 4) defines the 4 states of a 2 CBit system as being tensor products of ket pairs as $|0\rangle \otimes |1\rangle$ and so on?
@0celo7 You can say it, it'll make you sound smart and you know I won't understand it, so hey, why not?
 
@BernardMeurer Sounds good
@DanielSank n00b move
 
@BernardMeurer Well, a quantum system is mathematically represented by a vector space.
The vectors are the states of the system, often written $|\Psi\rangle$.
@MAFIA36790 o/
 
user116211
@DanielSank hallo!
 
Dude, someone is flagging a lot this evening.
 
user116211
@DanielSank o.O
 
4:03 AM
@DanielSank Holy shit Super Metroid is available on the new 3DS
 
@BernardMeurer The system is also characterized by it's Hamiltonian.
The Hamiltonian is a matrix (i.e. a (1,1) tensor).
 
@DanielSank What's a hamiltonian?
 
@BernardMeurer Ah.
Ok, let's say this another way.
 
@DanielSank That's not strictly true for infinite-dimensional vector spaces.
 
I'm still a little confused when you define a matrix as a (1,1) tensor
 
4:05 AM
@BernardMeurer Well, it is a $(1, 1)$ tensor, all the time.
 
Not in...fuck it
 
@0celo7 Bah!
@0celo7 It's the best video game ever made. Buy it. Play it.
 
@DanielSank Yes, my new 3DS is arriving tomorrow.
I'll be putting that game on it
 
@0celo7 I bought a ps vita instead of a 3ds and the games suck.
 
Does the vita even have any games?
 
4:06 AM
@0celo7 for some reason it's difficult to imagine you playing with a 3ds.
 
@DanielSank I can see that, it just seems like such a dull statement :p
 
@0celo7 yeah, most are jrpgs, kind of lame.
 
@DanielSank I'm not trying to be pedantic...partially because I'm not sure what good thinking of matrices as (1,1) tensors is, honestly.
 
@0celo7 Oh, well, whatever. It's useful some times.
 
@3075 I like those
 
4:07 AM
@BernardMeurer It is.
Let's go about this a different way.
If you have a quantum system, it's described by a set of state vectors $|\Psi\rangle$.
If you have a second quantum system it's described by a different set of state vectors $|\Phi\rangle$.
 
@DanielSank Do quantum computing people use $\Psi$ instead of $\psi$?
 
If you consider both of those systems together, then the combined system is described by all the possible tensor products, i.e. $|\Psi\rangle \otimes |\Phi\rangle$
 
@DanielSank State vectors? 'state' of the QBits?
 
@BernardMeurer Yes.
@0celo7 I dunno. Is there a standard in any field?
 
@DanielSank You're the first person I've seen besides Weinberg to use $\Psi$
 
4:10 AM
@DanielSank Alright, that makes good sense
 
@BernardMeurer It will make more sense if you ever have to use it.
 
@0celo7 I remember I played this game called "lost dimension" and it was really good.
I bought a ps vita because of it.
 
@DanielSank With your help hopefully I will someday :p
 
@BernardMeurer Come to SB and live in my apt. I need a housemate.
 
@DanielSank Aren't you getting a wife?
 
4:12 AM
@3075 believe it
 
I'll GLADLY be your housemate
 
@BernardMeurer Yes but she lives across the country.
And will for about another year :(
She's the best.
 
@DanielSank What, I could have swore she did research at SB
 
user116211
@yuggib: I've completed dihedral subgroups, symmetric subgroups, matrix subgroups and now about to enter homomorphisms and isomorphisms after quaternion groups.... I would let you know about any problem if I face.
 
@BernardMeurer Nope.
 
user116211
4:13 AM
@ManishEarth: o/
 
@DanielSank I don't doubt that :)
@DanielSank but yeah, in two days we find out if I'm getting there :)
 
@BernardMeurer Oh, great.
 
Just need the scholarship money,
 
Let me know.
I gotta go for now guys.
 
user116211
@BernardMeurer you'll :)
 
4:14 AM
@MAFIA36790 Hoepfully
@DanielSank Will do
 
user116211
@DanielSank o/
 
@DanielSank See you around man! Thanks for the class!
 
@MAFIA36790 \o
@BernardMeurer ciao
@0celo7 toodles
 
user116211
I meant to say groups ;_;
 
6:12 AM
Ah yes, @ACuriousMind of course that's what I was talking about; thanks. And sorry for the confusion @0celo7
 
7:01 AM
hey guys, anybody here do a lot of optics simulation (quantum effects included)
 
 
1 hour later…
8:05 AM
@MAFIA36790 I see
 
9:04 AM
1
Q: Answering old questions and getting noticed

NumrokWhen I browse through old questions I usually find myself reading the question and maybe the top few answers. Same thing when there is an old question appearing on the front page. From what I've gathered other people must be proceeding similarly. Even when there is a good question (many upvotes)...

 
 
1 hour later…
10:14 AM
(To be placed on PSE soon after polished) Why do we postulate the electromagnetic field (not electromagnetic wave, as otherwise the momentum density can be directly observed as doppler shift of the photons in the wave) having a momentum density (which is known to be unable to be directly observed and must be inferred by charges being moved around as if under some forces) when performing the experiment of two moving charges moving pass each other by travelling in opposite direction, and noting how the force resolved by Lorentz force law do not form an action reaction pair hence apparent viol
 
10:50 AM
@Secret We don't "postulate" the field to have momentum. Maxwell's equations are translation invariant. So is the Lagrangian of electromagnetism. Apply Noether's theorem to translation invariance and the field momentum just falls out.
 
Ah I see, so that's my knowledge gap in the puzzle...
 
Well, you're right that it's often presented in the way "We want momentum conservation, so we define some field momentum".
But, to me, that's just the wrong way - you begin with translation invariance, and then use Noether's theorem. Conservation laws are not about what we "want", they are consequences of symmetries.
 
I agree, the usual notion of "we want A so we define A" will raise the question on how we will ever see any genuine violation behaviour if we are being preconditioned (is thsi the correct psychological term?) to just interpret the observations and make mdoels such that it conforms to our expectations

whereas the fundamental approach you highlighted above gives a justification on why it is sensible
 
 
1 hour later…
12:18 PM
@ACuriousMind Strange thing, I dreamt in German today...
 
12:34 PM
@0celo7 Must have been a nightmare, then
 
@ACuriousMind No, people just started speaking in German!
 
Wikipedia
"In mathematics, especially in geometry and group theory, a lattice in $\mathbb{R}^n$ is a subgroup of $\mathbb{R}^n$ which is isomorphic to $\mathbb{Z}^n$, and which spans the real vector space $\mathbb{R}^n$."

how could it span $\mathbb{R}^n$ as the linear combination only has integer coefficients thus will definitely miss out points like $(\pi,0,0,...,0)$?
 
@0celo7 People who can't actually speak it?
@Secret "span" is meant in the sense of linear algebra.
 
@ACuriousMind Well it started out with this one asshole I knew from grade school, who was German
 
I.e the "span" are all linear combinations with real coefficients.
 
12:42 PM
but then everyone was speaking German!
 
@0celo7 My professional psychoanalytical opinion is that you are clearly afraid of said asshole and fear he might influence people in your life ;)
 
"In other words, for any basis of $\mathbb{R}^n$, the subgroup of all linear combinations with integer coefficients of the basis vectors forms a lattice."

It is explicitly stated here to be integers?
In mathematics, especially in geometry and group theory, a lattice in is a subgroup of which is isomorphic to , and which spans the real vector space . In other words, for any basis of , the subgroup of all linear combinations with integer coefficients of the basis vectors forms a lattice. A lattice may be viewed as a regular tiling of a space by a primitive cell. Lattices have many significant applications in pure mathematics, particularly in connection to Lie algebras, number theory and group theory. They also arise in applied mathematics in connection with coding theory, in cryptography because...
 
@ACuriousMind he's an asshole because he gave me a Platzwunde
 
@Secret The lattice is not the span of its vectors.
 
Not something I need to be afraid of now, Dr. Freud Jr.
 
12:45 PM
Ah yes, good ol's common span(S)=S misconception...
continues reading...
 
@Secret what
 
(At least for my uni) most people who first learned linear algebra tend to make the mistake of using span(S) and S interchangeably
 
what is S??
 
especially in the context of the span of a basis set

S is just a set of vectors
 
well those are obviously not the same thing
 
12:48 PM
they are not the same, still we tend to make this mistake until we made it enough times then it started to die away
 
@ACuriousMind do you like 2 Chainz?
 
@0celo7 no idea who or what that is
 
So sad...
Birthday Song?
I Luv Dem Strippers?
I'm Different?
Black Unicorn?
 
Never heard of any of those
 
1:25 PM
@ACuriousMind I'm shocked 😧
 
1:35 PM
0
Q: Klein Gordon, Dirac, Proca

rahaaHow do we know these equations : Klein-Gordon, Dirac, Proca is for spin 0, spin 1/2 , spin 1? How did people find Klein Gordon doesn't work for spin 1/2?

Too broad?
 
1:45 PM
IMO
The Klein gordon and dirac part of the question is answered by the link you referred rahaa to
However, why proca cannot be recovered from spin=/=1 is not answered, thus perhaps users can guide rahaa to narrow down this question to asking about why proca must be from spin=1 instead
 
2:30 PM
@0celo7 youtube.com/watch?v=qV0_UAbeyHs you might really enjoy this. I think this guy is a lyrical genius tbh
 
user147690
@Obliv Pretty mint 👌
 
user147690
@Obliv Water more important than the gold!
 
@alexclark haha
 
2:59 PM
@3075 You around?
 

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