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4:03 AM
Does everyone find my question confusing
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Q: Confusion about successive derivatives of position in circular motion

shelton BenjaminSuppose we define a unit $er$ vector along radial direction for a particle in uniform circular motion such that $v=\omega r$ and $\theta=\omega t$. Then, we have : $\vec er = \sin\theta\hat j+\cos\theta\hat i$ $\implies \vec er=\sin(\omega t)\hat j +\cos(\omega t)\hat i$ $\implies \dfrac{\mathrm ...

 
 
2 hours later…
6:15 AM
0
Q: Language that can be perceived as sexist

G. SmithI consider the phrase “you guys” to be sexist and unwelcoming (even though I am well-aware that many people don’t). I don’t think I’m alone in thinking this. After a back-and-forth in comments with another member about a post that used this phrase (and about the OP’s intentions, and whether they ...

 
6:38 AM
@JingleBells I exactly asked this question to my teacher. President Obama had different parents from different races and he looks a bit mixed in between, so, the recessive or dominant feature thing doesn't seem to work out here.
@ACuriousMind You've a degree in Biology too!!? Wow!
 
 
2 hours later…
8:15 AM
Morning
 
Morning
 
@Ankit Hi :-) Ping me when you're around and we can talk about this.
 
8:41 AM
I am trying to understand crystallography and the space groups of crystals, but I have one major question bugging me. The book I am using adresses different lattice symmetries and applications of group theory, but I can't figure out how to handle crystals with a non-trivial basis. In which way is the formalism altered? Does it break the lattice symmetry? Where can I read about this? I guess this would be a very common issue in applications
 
It's over 40 years since I last did a crystallography course, but as I recall the point group is the symmetry of the lattice. When you consider the motif as well you need to use the space group.
 
9:00 AM
Hmm, I am of the impression that the space group describes the lattice symmetry, and that this symmetry can be decomposed in some way into translations and the point group
 
 
1 hour later…
10:18 AM
@JohnRennie I am here :)
 
@Ankit hi :-)
Have you learned about solving the Schrodinger equation for a free particle?
 
No . I am a high school junior student.
 
OK. Until you start learning quantum mechanics properly it's hard to describe things rigorously. Without a proper mathematical background it all sounds a bit like magic.
Probably black magic! :-)
But we can try and discuss it and see how far we get if you want.
 
Can you tell me the physical reason by avoiding mathematics.
 
Well particles in QM are weird things. We tend to think of particles being like little balls because we are all used to throwing balls around.
But once you get down to the length scale where quantum effects become important you find that the things we call particles are more like fuzzy clouds.
They don't have a clearly defined position and they don't have a clearly defined edge.
OK so far?
@Ankit hello?
 
10:29 AM
@JohnRennie I am reading your statements. Give me some time.
 
OK :-)
 
10:52 AM
@JohnRennie yes that's okay.
 
I think the Von Neumann entropy increases if I time evolution of the sort if I measure $x$ I do $y$ else I do $z$ (conditional time evolution)
Is this already established?
 
@JohnRennie are you here?
@JohnRennie also how do we differentiate between two photons of same energy ?
 
Is conditional time evolution allowed?
 
11:09 AM
@Ankit hi, sorry, I got called away.
 
@JohnRennie hi
i am unhappy with the chemistry nobel prize award this
year i feel that it was previously worked by Japanese scientist in 1987 in previously in cpcir
 
what's "cpcir" stand for? @JackRod
 
 
2 hours later…
1:26 PM
In the FRW metric, why do we have to have $g_{0i} = 0$ and not just the same value irrespective of I
Shouldn't isotropy really imply that it should be some value that is the same for all directions as opposed to just 0?
 
@JakeRose FRW metric?
 
Yeah
 
What's it?
never heard that before
 
Freidman-Robertson-Walker metric
 
In classical metric $g_{ij} = 0,$ if $i \neq j$
 
1:28 PM
That's the Minkowski metric.
 
No, classical metric too
 
In classical physics you don't have a metric
Well, not one that takes into account time.
Anyway, I'm perfectly happy with that
 
because $ds^2 = -c \, dt^2 + dx^2 + dy^2 + dz^2$
 
Yes I know
 
I mean, classic metric tensor.
 
1:29 PM
This is different
 
FRW Metric seems something very different, I've never read about that...
@JakeRose If you want to know why Metric tensor has all it's non diagonal components = 0?
But, that doesn't extends to FRW...
 
I think this is something you're not aware of rn
so don't worry about it
FRW is the metric when you assume the universe is isotropic and homogenous
 
@JakeRose (Unrelated) Do you know Tissot's_indicatrix?
 
1:48 PM
nope sorry
a lil busy now with lectures so can't chat on none course stuff
 
Oh okay... :-)
enjoy
 
2:33 PM
@JakeRose Statements about $g_{0i} = 0$ are somewhat meaningless because they are coordinate-dependent (it's certainly possible to choose coordinates for a static spacetime in which the metric is not of that form!).
If you want to do this properly you need to define what "isotropic" or "homogeneous" means without referring to coordinates (the standard way is to talk about Killing vectors), and then one can show that for a static spacetime there always exist local coordinates with $g_{0i} = 0$.
 
Mhm so I'm not going crazy here
Lemme show you my lecture notes
 
Well, that's the way you cheat if you don't want to talk about Killing vectors :P
 
ahaha
Mhm. Can you offer any explanation without killing vectors
Specifically why you couldn't have terms like $\alpha dt(dx^1 +dx^2 +dx^3) $ where $\alpha$ is some constant
In my head that feels like that's not giving any direction a preference
 
but it at least should say that we can choose coordinates such that, even if it doesn't discuss why exactly "isotropy" means $g_{0i} = 0$.
 
we discussed isotropy qualitatively previously
Nothing too mathematical was put down tbf
Just essentially rotational invariance
So how can you choose a coordinate system such that αdt(dx1+dx2+dx3) is 0?
 
2:49 PM
@JakeRose it's not invariant under rotation - note that while $\sum_i (\mathrm{d}x^i)^2$ is invariant under rotations, $\sum_i \mathrm{d}x^i$ is not
it's the same principle as the Euclidean norm of a vector being rotationally invariant, but not the sum of its entries
Or another way to look at it: You could argue that the vector $(2,2,2)$ doesn't "give any direction a preference", but (apart from that being nonsense) it still has a direction, it's not a scalar like its norm.
 
3:02 PM
@ACuriousMind I do think I see this
So what type of cross terms would be permitted (if we choose a coordinate Fram that accepted them?)
Also, do you see what I'm doing wrong in this:
$dl^2 = \delta_{ij} dx^i dx^j$ under rotation $=\delta_{ij} R_{ik}R_{jl}dx^k dx^j$
Where $R_{ij}$ is the rotation matrix. I think this is actually slightly dodgy notation as it doesn't preserve up and down indices
Giving $R_{jk}R_{jl}dx^k dx^j$ which doesn't give back the delta because one of the R matrices has it's indices the wrong way around right|?
 
@JakeRose Well, in arbitrary coordinates you can have arbitrary cross-terms, that's why talking about the terms in specific coordinates is a hack :P
 
3:17 PM
MHmmm
I see
Any idea what I'm messing up with the rotation matrices
 
@JakeRose I don't know what you're trying to do there, but $\delta$ with both indices down is not a tensor, see physics.stackexchange.com/a/215388/50583
also, as you noted, your index positions are off
 
I was just trying to show explicitly that Euclidean space is rotationally invariant
 
yeah, you can't really reason that way about the $\mathrm{d}x^i$. What I said above was meant as intuition.
if you want formal statements it's Killing vectors I'm afraid :P
 
Surely you can show that the flat space line element is the same under rotation without resorting to killing vectors?
 
Well, what do you mean by the "line element" being "the same under rotation"? :P
In the end it's just a tensor, and tensors transform in certain ways e.g. under rotation. Anything you do to the line element itself isn't going to give you any insight beyond "it's a tensor"
 
3:25 PM
as in showing $dl^2 = \delta_{ij} dx^i dx^j$ is invariant when you apply a rotation
I'm not trying to gain any insight, just literally showing that rseult
*result
 
Do you mean $$\delta_{ij}\mathrm{d}x^i\mathrm{d}x^j \mapsto \delta_{ij}R^i_k R^j_l \mathrm{d}x^k\mathrm{d}x^l = {R^i}_k {R^i}_l \mathrm{d}x^k \mathrm{d}x^l = {R^i}_k {(R^{-1})_l}^i \mathrm{d}x^k\mathrm{d}x^l = \delta_{kl}\mathrm{d}x^k\mathrm{d}x^l?$$
 
ah yes
oh I was so stupid
 
well there's some issue with the index placement there too, but it doesn't matter since lowering/raising is free in Euclidean space :P
note that it's not that straightforward in GR since it is not clear what "rotation" means when we don't have fixed spatial coordinates
but at least you can see by the same logic why cross terms like $\mathrm{d}t\mathrm{d}x^i$ probably aren't going to be there in a frame where the isotropy is evident
 
actually sorry not sure I follow your math
since raising and lowering is free I'm just gonna keep them all lowered
We agree that $R^T R = I$. With index that's $R_{ji}R_{ik} = \delta_{ij}$
which is not what we have in that expression
God it's been so long since I did math
oh never mind I get it now
 
3:45 PM
I've wondered for a while, what is the difference between ${M_i}^j$ and ${M^j}_i$?
 
$R_{ji} = (R^T)_{ij}$
 
is the point that the index closest to the $M$ is the columns
 
it might also be the row depending on convention, but yes, the order of the indices is row/column
 
ok ty
 
4:30 PM
In what sense is "the complexification of $\mathfrak{su}(2)$ is $\mathfrak{su}(2)+i\mathfrak{su}(2)=\mathfrak{sl}(2;\Bbb C)$" defined? I was under the impression that complexification of a vector space is just itself tensored to the complex numbers, is this just notation?
In other words is $\mathfrak{su}(2)\otimes \Bbb C=\mathfrak{sl}(2;\Bbb C)$ also correct?
 
noice
thanks
 
5:05 PM
0
Q: Is there a convenient way to find questions which I have previously answered?

BuzzI started my participation yesterday, and I was very gratefully and pleasantly surprised to receive a perfect answer. I also looked through 10 pages of unanswered questions, and I answered a few. Now I wiould like to take a look at these questions I answered to see if my answers were useful. I h...

 
 
1 hour later…
6:28 PM
In this article about Pauli crystals, they say that these crystals emerge in the absence of interaction (between the fermions). Interaction meaning the Coulomb repulsion. How is this achieved? They mention that lithium is neutrally charged, but there will still be repulsion within the atom and possibly to its neighbors as well if they get close enough to each other?
“ The best-known fermions are electrons. But these have a powerful negative charge that would overwhelm the subtle self-ordering effect of the exclusion principle. But some atoms are composite fermions and electrically neutral. One of these is lithium-6.”
 
6:45 PM
I found this in a deep learning book and it states that the euclidian n-space that the matrix sits in is the rows times the columns, but I think that's wrong.
The matrix (made out of i hat and j hat for example) sits in $R^2$, not $R^4$
As far as I know, the dimensionality of the euclidian space should be equal to the number of rows of the matrix/vector
 
Any two vector spaces of the same finite dimension are isomorphic @JingleBells
 
What is the convention to identify axes in molecules? z-axis is taken along the principle rotation axes. What about x and y axes?
 
I imagine they use a standard handedness convention @Yashas
 
7:00 PM
@Charlie sorry, I don't understand. If I have an identity matrix with 2 rows and 2 columns, then the dimension of the space they lie in is not going to be 4, it's gonna be 2.
 
@Charlie there are two possibilities for pyridine and both can right handed systems: take y perpendicular to plane or take x perpendicular to plane and choose the third such that it form a right handed system. There is still an ambiguity.
I need to sort this out because character tables are given in some convention and I don't what that convention is.
 
An $n\times n$ matrix acts on an $n-$dimensional vector space but a vector space formed by $n\times n$ matrices is not $n-$dimensional. @JingleBells
It is $n^2$
 
Got it, what is a vector space?
it's not the euclidian n-space graph thingy?
for example 2D, or 3D space
(or 1D)
 
A vector space has an abstract definition beyond the geometric interpretation given by euclidean space
 
Oh, I thought R meant the dim of the euclidian space
 
7:11 PM
i'll answer in 5minutes just finishing something
 
@Charlie 'kay, no worries
 
the $n$ in $\Bbb R^n$ does label the dimension of Euclidean space
and once you've chosen a basis the operators $M:\Bbb R^n\rightarrow \Bbb R^n$ are represented by $n\times n$ dimensional matrices
but, if you're talking about a vector space formed by $n\times n$ dimensional matrices this is $n^2$ dimensional
and is isomorphic to $\Bbb R^{n^2}$
 
@Charlie I'm struggling to understand what this vector space is.
 
sorry I shouldn't have said $n\times n$ dimensional matrices, I meant they are $n\times n$ matrices
 
@JingleBells youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab (last video is on vector spaces but I recommend going through the whole thing)
 
7:21 PM
the definition is on wikipedia, the abstract definition
 
@Yashas I'm already watching this, it's really good
 
I wish university linear algebra courses were taught the way that youtube playlist teaches. I gained a lot intuition from that video series than I did from my university course.
 
"A vector space is a structure composed of vectors and has no magnitude or dimension, whereas Euclidean space can be of any dimension and is based on coordinates."
 
@JingleBells Euclidean space is a vector space but vector space is a much broader concept.
 
7:25 PM
that is a non-technical definition
 
You can have a vector space of polynomials. There are vector spaces of functions in quantum mechanics. You have to stop thinking vector spaces in terms of Euclidean spaces. Vector space is an abstract concept.
 
A vector space is a set with two operations that satisfy a set of axioms
any set for which those operations can be defined and satisfy those axioms is by definition a vector space
 
The way I understand vector space now is that it's an abstract concept that contains the individual parts of the nxn matrix. Something like this. Like, since vectors are made up of scalars, what captures those scalars is the vector space?
 
vectors are not made up of scalars
acm would be upset at your obscene language
 
@JingleBells vector space has nothing to do with matrices or numbers
 
7:30 PM
Well, I know they aren't, but it's just an intuition concept. When I have a 2x2 matrix, I view the first column as the i hat scalars and the second column as the j hat scalars. But since i hat and j hat are basis vectors, it's weird to define vectors the way I defined it, my bad.
@Yashas Hmm, so I'm wrong. What is a vector space then? (in simple terms plz :P)
 
Look up the abstract definition and work from that
 
@JingleBells I would recommend going through the playlist I sent you earlier. It starts from the basics and arrives at the definition of vector space.
 
@Charlie I tried, but it's too complicated for me :\
@Yashas Alright, I've already watched the playlist once (without the last video :P) so I'm going through it again and I'll check out the last vid
I didn't know 3Blue1Brown had a vid on vector spaces, I'll check it out
 
That's the most precise definition you're going to get. Most (all that I've met) objects in mathematics can be through of as sets equipped with additional structure and axioms
Sets, maps, axioms and operations underpin all of this
 
That's great, but I'm still a beginner and I just want a simple, vague, unprecise definition of vector spaces so I just have some intuition of what it is. I'm pretty sure the 3Blue1Brown vid will do it for me.
 
7:37 PM
It's a set of elements (that we call vectors) and a field with two operations, vector addition and scalar multiplication
 
Hmm, thanks, it makes some sense. It's better than knowing absolutely nothing about vector spaces. I'll go through the playlist and I can feel things getting clearer.
Thanks guys! :-)
 
 
2 hours later…
9:28 PM
@JingleBells It's basically a way of taking a set of things, then defining a sort of "addition and multiplication" for them
So it generalizes beyond addition and multiplication of real numbers
This multiplication function is called "scalar multiplication" and has to satisfy a list of properties that intuitively resemble multiplication for reals. The addition function also has to satisfy a list of properties that intuitively resemble addition for reals
For example, 2x2 matrices can form a vector space. If we have $M=\begin{pmatrix}a & b \\ c & d\end{pmatrix}$ and a scalar $r\in \mathbb{R}$, we define the scalar multiplication $rM$ to be $\begin{pmatrix}ar & br \\ cr & dr\end{pmatrix}$, i.e. we just multiply all the entries.
We define addition as just adding the entries, e.g. $\begin{pmatrix}a_1 & b_1 \\ c_1 & d_1\end{pmatrix}+\begin{pmatrix}a_2 & b_2 \\ c_2 & d_2\end{pmatrix}=\begin{pmatrix}a_1+a_2 & b_1+b_2 \\ c_1+c_2 & d_1+d_2\end{pmatrix}$.
These scalar multiplication and addition functions actually satisfy properties like associativity, distributivity, commutativity, etc. found on the Wikipedia page, so they indeed work as a vector space, but there may be other functions that can define a scalar multiplication and addition for matrices
Elements $(a_1,a_2,...,a_n)\in \mathbb{R}^n$ can also be given a definition of those vector operations, i.e. addition and scalar multiplication, as you know. Elements of a vector space are called "vectors"; in the case where we deal with Euclidean space $\mathbb{R}^n$ with vector operations, we call them Euclidean vectors, though since they are so common, people often drop the word "Euclidean" in e.g. physics
This is a somewhat simplified description and vector spaces can be a bit more general, but this should serve as a starting intuition. Even things like polynomials can be vector spaces; when you add polynomials or scale them by a real number in the obvious way, then you get a new polynomial.
 
9:47 PM
Hi every body
 
A good intro linear algebra textbook for vector spaces is this. Reading the 3 chapters should give you a good overview
 
Have you ever solve a magnetostatic problem with two permeable media?
What happens when there is a current loop bewteen two semi-infinite slabs of diferent permeability?
 
What does "semi-infinite" mean here?
 
oh I mean half space
for example if you are using a xyz coordinate system
it will be the points defined by z>0
the other medium will be z<0
the loop is in the interface, the plane z=0
I want to calculate the L1/L2, where L1 is the self-inductance in the situation that the two permeabiities are the same, and L2 is the situation that they are different.
 
10:45 PM
I haven't learn the basics of physics
but why this statement is true "a vibrating string shows some one-dimensional standing waves. Since the two end points of the string are held fixed, only waves having an integer number of half-wavelengths can form"
seems intutive but why is it true
 
10:58 PM
@Stupidquestioninc Here's a picture of the first 7 waves you can make in 1-dimension that are also "standing waves"
 
11:24 PM
@Charlie yeah but why is it true or may be I can reason it out
well see ya after school
should I learn physics deep enough before reading chemistry
book?
is that point you plotted called node?
 
The nodes of the wave are the only points on the wave that remain stationary as the wave evolves, thus they have to be at the two endpoints of the line if the endpoints are "held fixed" as per the definition you gave. Since the nodes sit at half integer multiples of the wavelength the full wave must be half-integer multiples of its wavelengths.
The points on the wave that remain at zero displacement are called nodes, yes
 

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