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17:00
@Koro could be sick. Hopefully nothing serious though and will feel better soon. Can be a million reasons though so if you can afford a vet visit just for some bloodwork that would be ideal
Leslie: these are kittens from my college hostel. I've kind of raised them ever since they could barely even jump.
@Obliv Different people write books differently.
They barely go outside hostel.
And mostly live around me.
I am currently working on a book which is essentially notes from teaching a precalculus class over the last several years. It is a beefed-up version of the activities I give students in class, held together with a bit more exposition.
@XanderHenderson and that's great, there's candies for everyone out there
17:02
koro i would second obliv's recommendation to seek vet care if it is possible, but i have no idea if it's possible. (around here vet care is often prohibitively expensive, or at least expensive enough that it involves a really delicate balance of the ideal and reality)
I don't like every style of writing and I imagine different people just naturally have different preferences towards writing
Behavior change in just 2 hours!! How does that happen? What catalysed it?
koro i have an indoor only cat and she does have mood swings. not unusual for her to shadow me around the house, or for her to vanish for 20 hours of the day and come out just to eat
@leslietownes perhaps vet care is not available nearby here. Also, everything seems exorbitant in US.
if she weren't eating that would alarm me, but, it's only because she's indoor only that i can monitor her eating and drinking and bathroom habits
with an indoor-outdoor cat, who knows
17:06
So, perhaps, it could be part of their growth process then.
it could also be that someone else just started feeding them and they only have so much room in their stomach. cats are pretty faithless companions :)
i wonder if it's possible to send blood samples to labs yourself so you can DIY vet care
@leslietownes some people do feed them. But the kittens never refused a slice of meat until today no matter how full they were.
But it may be possible.
I'll see him tomorrow then.
@Obliv 💀
I've also been sick for last few days.
17:09
I highly recommend getting them vaccinated from some dangerous viruses at least
like rabies
(body pain + stomach issues + fever + appetite loss)
it also happened to my cat when he eats a lot of meat
@Obliv sadly, rabies is very common here.
Almost every dog around is rabid.
@Koro Take care, I hope you get well soon
Thanks. It sucks to take so many medicines.
And I don't know why Bengali doctors prescribe so many medicines.
So many...
17:12
well, maybe whatever the cat has spread to you or vice versa? Try to see a doctor if you don't eventually feel better
It's heavy sometimes on health resulting in weakness, dizziness and all.
For fever once, I was prescribed about 8 tablets and some syrup.
Eight!!
It only got worse. I stopped taking the medicines and took tablet of another medicine instead and I was fine next day.
@Obliv yeah, I've seen a doctor today.
@Jakobian I feel I miss some understanding.
All 500 - 650 mg tablets.
I can see how using $(r, \theta, \phi)$ we can describe all space.
But out of those, the position vector is just $r\hat{r}$ since $\hat{r}$ is a function of $\theta$ and $\phi$.
$\hat{\theta}$ and $\hat{\phi}$ are also functions of $\theta$ and $\phi$.
17:28
The cat (the mother of the kittens I talked about) has given birth again.
But the position vector is not a linear combination of $\hat{r}$, $\hat{\theta}$ and $\hat{\phi}$.
Their eyes haven't opened yet.
So what is $r\hat{r} + \theta\hat{\theta} + \phi\hat{\phi}$?
Is that vector in space?
I am thinking that all $\hat{r}$, $hat{\theta}$ , $\hat{\phi}$ are in space.
@giannisl9 position vector is specified by all coordinates $r,\theta,\phi$
@Obliv yes, but not all basis vectors?
@Obliv $r\hat{r}$ has all coordinates but not all basis vectors.
17:34
$r$ specifies the length, $\theta,\phi$ specify the "direction" so you need all of them to completely describe $\mathbb{R}^3$
@Obliv since $\hat{r}$ is a function of $\theta$ and $\phi$
@Obliv I am referring to the basis vectors not their magnitude.
i don't understand what you're asking, but it might help to be more specific. e.g. what is going on in R^3 with the point that we would call (1,1,1) in cartesian coordinates. what are these r hat, theta hat, and phi hat "basis vectors" in this instance
I think working in R^2 first might be easier
@leslietownes a point (x, y, z) maps to $(r, \theta, \phi)$
$r^2 = x^2+y^2$ gives the usual transformation of $r$ to/from cartesian coordinates with $x=r\cos\theta$, $y = r\sin\theta$
@giannisl9 you have to use the transformation equations in that example
17:38
as a background observation, it's possible to represent a point in R^3 with a triple of numbers without necessarily thinking of any one of those numbers as a coefficient in some linear combination, and that might be going on here, but i dunno
giannis: okay, so in this example r is sqrt(3), theta is pi/4, phi is pi/4? does that feel right? what about "theta hat"
@leslietownes $\hat{r}$, $\hat{\theta}$ and $\hat{\phi}$ are basis vectors for the new system
@leslietownes but they all depend on position
this is where i'm stuck. you're saying that these vectors are a "basis" for a "new system," but i don't know what they are in the instance of this point that is (1,1,1) in cartesian or (sqrt(3), pi/4, pi/4) in spherical
@leslietownes I think something like that is happening but I struggle to understand it
we may also find it helpful to distinguish between R^3 here and the tangent space to R^3 (which unhelpfully is identifiable with R^3, but i'm suggesting that we not do that)
@leslietownes someone posted this link dynref.engr.illinois.edu/rvs.html
@leslietownes it shows what the basis vectors are
17:43
if we look at little increments in the coordinate variables we can get directions in R^3 we can think of as "based at the cartesian point (1,1,1)" that point in the directions of various coordinate changes, but it's mixing types to want to represent (1,1,1) itself in terms of these directions
okay, that's the e_r, e_theta business on this thing. i'd think of them as a basis for the tangent space, not the space itself
@leslietownes I feel I am missing some knowledge but that you get what bothers me. Can you be a bit more analytic, even just to give some intuition which is not strictly correct.
So, if I were to move in some $\hat{r}$ direction that means I have already picked $\theta$ and $\phi$.
$r\hat{r}$ makes sense since all $(r, \theta, \phi)$ are picked
hat(r) appears to be that page's notation for (r, theta, phi)
but 𝑟𝑟̂+𝜃𝜃̂+𝜙𝜙̂
you might be talking about hat(e_r), which (given a particular point (r, theta, phi) gives a unit vector in the direction of increasing r while fixing the angles)
I cannot understand if this is in the space
because
17:49
i don't know what hat(theta) is. that page does not define it. it defines something called hat(e_theta)
$r\hat{r}$ and we are already somewhere and then if we add $\theta\hat{\theta}$ we go somewhere else
hat(e_r), hat(e_theta), and hat(e_phi) are a basis for R^3, but you would want to think of this as a "copy" of R^3 having the point that you've fixed as its origin, and elements of R^3 represent "direction vectors" based at that point
and if we use the basis vectors at that point we actually change all
you wouldn't naturally think of decomposing the point itself in terms of the basis for the tangent space
a type checker in a computer programming language would throw a fit if you did that
you can certainly form all sorts of expressions for elements of R^3 just using the fact that elements of R^3 can be added together, the question is, what do you hope to do by forming r hat(e_r) + theta hat(e_theta) + phi hat(e_phi)
@giannisl9 en.wikipedia.org/wiki/Rotation_matrix maybe you're interested in the rotation space for lack of a better word
17:54
it might help to switch to R^2 like someone suggested. using polar coordinates on R^2, the analogues of hat(e_r) and hat(e_theta) at the cartesian point (1,0), which oddly enough is also (1,0) in polar coordinates, would be (1,0) and (0,1)
the basis vectors are given by trig functions on the euclidean space, you don't need $\hat{r}$ here
and it coincidentally happens that your original point, whether in polar or cartesian, is identical to just one of those two basis vectors
but i don't know why you would think to use the basis for the tangent space of R^2 (namely, elements of R^2 thought of as directions pointing away from from (1,0)) as something that you want to represent elements of the original space in terms of
@giannisl9 I tend to agree with jakobian that this is not a correct statement because $\hat{\theta},\hat{\phi}$ don't seem to have any meaning, how can the norm of an angle give you $1$
hat(theta) and hat(phi) await definition. i suspect that the question relates to what the page linked above calls hat(e)_theta and hat(e)_phi
but i still don't understand the motivation
@leslietownes yes, the page has an e
17:58
\hat(e) vectors are the transformations from cartesian to spherical and vice versa
but hat(theta,phi) aren't a thing I don't think
@leslietownes In your example in $R^2$, $\hat{r}$ is (1,0) and $\hat{\phi}$ is (0,1) at the point (1,0)
and the position vector is $\hat{r}$
@giannisl9 yes. if you change from (1,0) to say (2,2) cartesian, now hat(e_r) is a unit version of (2,2) of the form (a,a) and hat(e_theta) has the form (-a,a)
and if you wanted to write (2,2) in terms of e_r and e_theta you would have (2,2) = ||(2,2)|| e_r
@leslietownes yes and my question is what is
a point (x,y) in R^2 would always be a scalar multiple of hat(e_r) in this decomposition and hat(e_theta) would not enter into it
@leslietownes same in 3D
18:03
yes
@leslietownes but what is then $\theta\hat{\theta}$
@giannisl9 R^3 has to be specified by 3 basis vectors so in spherical coords this is length, polar, and azimuthal direction. $r\hat{r}$ is a vector in $\mathbb{R}^3$ that specifies the length and direction
[reading hat(theta) as hat(e)_theta] it's just some random vector that you've chosen to write down that points in the direction of hat(e)_theta
its clearly in 2D
i wouldn't expect it to have geometric meaning, because i wouldn't expect to decompose the point that defines all of these vectors in terms of the e_r, e_theta, e_phi basis for R^3
there's a fundamental distinction between a space and its tangent space that gets blurred when everything is just points in some R^n
if only ted were here
In my book it says
Any vector A can be expressed in terms of $\hat{r}$ $\hat{\theta}$ $\hat{\phi}$
as a linear combination with some coefficients
but I don't understand that vector at all
idk if it's called a jacobian, but there are continuous relationships between those vectors expressed in derivatives
look at the link I just linked for the "variations of unit vectors with the coordinates" @giannisl9
surely its not a position vector or is it? are the coefficients used to describe some position in space but that vector is nothing in that space?
giannis: i would think of these vectors as a basis for a new space. a copy of R^3 whose "origin" is the point at which you define these vectors
i would not think of these linear combinations of hat(e_r), hat(e_phi), hat(e_theta) as living in the same R^3 that (r, theta, phi) or (x,y,z) does
@Obliv this is what I am learning and struggle with its meaning
@leslietownes I see but when the book says any vector
does it mean any vector in R^3?
18:10
yes. any three-tuple of numbers
the book isn't saying "and by the way, it's going to be very helpful to express the points of your original space in terms of this basis"
it's just something that you would be capable of doing, if you wanted to do it
each of those basis vectors are in R^3 and their sum should also be in R^3 but I cannot understand what that sum gives
$A_r\hat{r}$
I understand, it is the position vector.
A_r, A_theta, and A_phi are not, in general, going to have any meaning
they're just the book's notation for "the coefficient that appears when you do this expression"
it's because you're thinking in terms of cartesian coordinates, always, intuitively when you think about sums
18:17
The problem is if we add $A_{\theta}\hat{\theta}$ for that $(r, \theta, \phi)$ we get another point where those basis vectors are different
like norms are computed the same so you must think of your typical right triangles to specify the position in space but that doesn't work for this
giannis: i wouldn't think of a 3-tuple obtained as part of a basis expansion in terms of the r, theta, phi vectors as compatible with the 3-tuple (r, theta, phi) itself
i wonder if you want to add them together, i guess just because they have the same data type (elements of R^3) and you can add any 3-tuple to any other 3-tuple
but there's no reason to expect that type of addition to have any significance
I have a problem with this notation, it looks like a trap
@leslietownes Sorry, can you describe what you are saying a bit more analytically, I think you kind of answer my question.
@Obliv me too
the same way that (1,1,1) is (sqrt(3), pi/4, pi/4) in spherical and (1,0,0) in cartesian, i wouldn't say "okay, so what is (sqrt(3) + 1, pi/4, pi/4)? what does that mean?" the answer is, it means that's what you get when you add those 3-tuples together, but i don't think that addition is something you would naturally do
the representation of an element of R^3 in terms of the r, theta, phi vector basis is best thought of as a representation of "directions" from the point where you computed those vectors
and is best thought of as existing in a different R^3 than the R^3 where the point is (1,1,1) or (sqrt(3), pi/4, pi/4)
i realize that i'm not doing a great job of explaining this, this is getting into exactly the kind of stuff that i don't understand :)
we need a proper geometer
18:24
@leslietownes I think you get exactly what bothers me but yes, I struggle to clearly understand. I thank you very much for your time though.
@leslietownes it's like, $\hat{\theta},\hat{\phi}$ are still orthonormal length 1 vectors pointing in polar, azimuthal directions respectively, but it's not intuitive at all because we think in terms of cartesian coordinate systems almost inherently
wow was that the server or me
I think it was the server since giannis just did the same thing haha
poor leslie probably just got 6 alerts all at once
@giannisl9 not really helpful at all to visualize, but this answer conveys my issue with the notation math.stackexchange.com/a/2193678/234396
@Obliv your issue but not mine maybe? I have no problem with $|\hat{\theta}|=1$
my problem is to understand how $(r, \theta, \phi)$ representing the point in $R^3$ relates with some linear combination of the basis vectors since only one of them seems to be used.
I meant not being able to visualize the rotation matrix
1
Q: Basis Vectors in a General Curvilinear Coordinate System

Junaid AftabI'm confused as to how does one find out the basis vectors of a curvilinear co-ordinate system. In the context of a general, arbitrary curvilinear co-ordinate system, the textbook I'm reading states that: If Cartesian co-ordinates $x, y, z$ are expressible in terms of the three curvilinear ...

18:38
giannis the high level idea is that you would not, generally, want to use the basis to represent the point that you started with (although you mathematically could). you would instead be likely to choose that basis to represent "tangent vectors" - i.e. directions of motion away from that point
@leslietownes okay, that makes sense
@Obliv @giannisl9 take a look at that link and see that your basis vector $\hat{r}$ isn't sufficient to specify your coordinate system in $\mathbb{R}^3$
so $\hat{\theta}$ and $\hat{\phi}$ do not indeed play any part on the position of a point, only their associated coefficients.
you need the other 2 planes as well
@giannisl9 without $\hat{\theta},\hat{\phi}$ you'd have no position, you'd only have a length.
giannis: right. although if the point were traveling in a path about the origin, its velocity (which is also an element of R^3, although i would think of it as a "different" R^3 than the one that the point lives in) might point in the theta or phi direction
18:42
@Obliv I think that is not true
whatever your basis vectors are for space V, you need all of them to span V
e.g. if a point were moving about the surface of a fixed sphere, its velocity would be a linear combination of the theta and phi vectors only and have a 0 component in the "r hat" direction
@giannisl9 okay, give me a point in $\mathbb{R}^3$ in spherical coordinates without usage of $\hat{\theta},\hat{\phi}$
@leslietownes I see!
@Obliv okay $r\hat{r}$
what is $\hat{r}$
18:45
whatever you want
any vector
how does $\hat{r}$ span $\mathbb{R}^3$
it spans R^3 cause you have a different $\hat{r}$ for different $\theta$ $\phi$
any position vector you can represent as some r and $\hat{r}$
what are $\theta,\phi$
the usual
angles
or anyway numbers
so they're orthogonal or what
18:48
they are numbers
just numbers
@leslietownes time to become the new Ted, Leslie
its your time to shine, don't give up on your dreams
$\hat{r}$ $\hat{\theta}$ and $\hat{\phi}$ are orthonormal for a specific $\theta$ and $\phi$
@giannisl9 you need to specify $\hat{r}$ in terms of $\phi,\theta$ since $\hat{r},\hat{\theta},\hat{\phi}$ are the orthonormal set of basis vectors in spherical coordinates for $\mathbb{R}^3$ you can't just have one
maybe in my retirement
yes but $\theta$ isn't just a number it's $\theta\hat{\theta}$ a number in a specific direction i.e. in the polar plane
18:51
@Obliv no that's the thing
its just a number
what do you mean it's just a number? this is a vector space we're spanning
we'd like a scalar field + 3 orthonormal basis vectors for $\mathbb{R}^3$
@Obliv if you think of $\hat{r}$ in terms of cartesian coordinates I think you ll see why its enough
I'll post it again
1
Q: Basis Vectors in a General Curvilinear Coordinate System

Junaid AftabI'm confused as to how does one find out the basis vectors of a curvilinear co-ordinate system. In the context of a general, arbitrary curvilinear co-ordinate system, the textbook I'm reading states that: If Cartesian co-ordinates $x, y, z$ are expressible in terms of the three curvilinear ...

the green line in the figure represents $\hat{r}$
the other two lines orthogonal to it represent the azimuthal and polar planes
$\hat{r}$ alone just specifies going away from the origin, but you need the other two to specify which direction away from the origin
no, the green line represents some $\hat{r}$
different lines
different $\hat{r}'s$
18:55
you think of $\hat{r}$ as the distance from the origin
it is not
it is a vector from the origin to the point with length one
It's a direction.
yes, a direction
one for every point
yes but it's specified in terms of the other basis vectors
no
the basis vectors of cartesian
not spherical
this is how I started thinking about this
ok but the basis vectors $i,j,k$ in cartesian coordinates are related through $\phi,\theta$
18:59
@Obliv I don't understand but do you see now why $r\hat{r}$ spans the whole R^3?
$r\hat{r}(\theta, \phi)$ if you like
my point is there is no $\theta,\phi$ if not for $\hat{\theta},\hat{\phi}$
i.e., there is no green line without the red and blue
@Obliv hmm that was my problem also
but many ways suggest other
for example
$(x, y, z)$ mapping to $(r, \theta, \phi)$
well defined and no need for $\hat{\theta}$ and $\hat{\phi}$
because $\phi,\theta$ specify which direction and how much direction $\hat{r}$ points, and $\hat{\phi},\hat{\theta}$ give $\phi,\theta$ that direction
@Obliv I don't understand
@giannisl9 en.wikipedia.org/wiki/… here's the functions you're talking about
note how each component in cartesian coordinates are related to not just one component in spherical basis
19:04
the mapping is defined yes
particularly, every x,y,z component has $\rho$ because they contribute to the norm of $\hat{\rho}$ or $\hat{r}$ if u wish
that was the example I gave
but nothing here is the basis vectors
you can go in the other direction to derive the basis vectors
@leslietownes would you name your son Ted
Oh wait you have 2 babies right. Both are girls?
19:06
Still you are not showing me vectors, only coefficients
It'd be cute if you named your son Ted
jakobian i have one son but he is not named ted :)
you can go from $(x,y,z)$ to $(r,\theta,\phi)$ back and forth
There's still time, maybe there'll be little Ted in the future
but those are coefficients
19:08
@giannisl9 u just make x,y,z $i,j,k$ and $\rho$ has length 1
that is not ok
Am I right @leslietownes?
$\rho$ comes from $\rho\hat{r}$
idk actually
In cartesian every (x,y,z) corresponds to the position vector $x\hat{i} + y\hat{j} + z\hat{k}$
x, y, z are numberes
and the other are unit vector
for the system orthonormal blah blah
and you can see by this how this spans R^3
now what about $(r, \theta, \phi)$
$\hat{r}$ $\hat{\theta}$ $\hat{\phi}$
are not constant
they are different for every point
I wonder if I ever become mature enough to be able to rise a child
or be given a chance to
$$\left[\begin{array}{@{}c@{}}
\rho\cos\theta\sin\phi \\
\rho\sin\theta\sin\phi \\
\rho\cos\phi \\
\end{array}\right]$$ is the basis
19:14
yes, not constant
its not like (1,0,0) (0,1,0) and (0,0,1)
yeah and not like $\begin{bmatrix}r\\ \phi\\\theta\end{bmatrix}$ that's why I said I had issues with the notation
also this you would have to divide by ρ
anyway
my point is
How common is naming a kid "debt"?
for the position
you don't need the other basis vectors
I wonder if $\hat{r} = \cos\hat{\theta}\sin\hat{\phi}$ is correct lol
or makes any sense
19:18
what is cos of a vector
no sense to me
$\hat{r}$ is not related to the other
that means orthonormal
they are the angle "vectors" that points in the polar/azimuthal direction, cos is just normal definition of the $\frac{adj}{hyp}$
I guess
I don't know but again the point is the are not needed
for position vector
they are directions
at this point
so if you want the velocity there
maybe you get some other vector in terms of them
but that has nothing to do with position
they are not needed to span R^3
they are needed maybe to span a copy of R^3 in that point
so you get all R^3 again?
I don't know
you definitely need length, and 2 orthogonal directions but if $\hat{r}$ contains all of that information then obviously it spans R^3 but if you want to split up your basis into 3 "vectors" you get redundancy
since you're breaking apart the idea in cartesian coordinates of having 3 orthogonal vectors with length & direction
into a vector $\hat{r}$ with direction and magnitude, with $\hat{\theta},\hat{\phi}$ being pointless
Idk tbh, but I gtg now lol sorry. hope you figure it out and ping me if you do
they are relevant if you want for that basis to represent something that is not in the direction of $\hat{r}$
so maybe velocity
I think I get it more by explaining it :ㅖ
:P
they are directions to use to span a copy of R^3
R^3 again having chosen a direction already
aaaaha
imagine being at a point
position vector $r\hat{r}$
if you want all R^3 again having chosen $\hat{r}$
you need $\hat{\theta}$ and $\hat{\phi}$
if you just want to go to your point
just use $\hat{r}$
@Obliv ping
@giannisl9 👍
19:31
first time leslie pings
@leslietownes yes, I think now I kind of understand what you were saying! Thanks ^^
i have a question
i was reading this
Consider the vector space $M(\mathbb{R})_2$, and let:
$V = \left\langle \begin{pmatrix} 1 & 0 \\ 1 & -2 \end{pmatrix}, \begin{pmatrix} 0 & 0 \\ 1 & 1 \end{pmatrix} \right\rangle$
$W = \left\{ \begin{pmatrix} a & b \\ c & d \end{pmatrix} \in M_2(\mathbb{R})_2 : 2a+b=c-2d=0 \right\}$
be two subspaces of $M(\mathbb{R})_2$. Determine $V+W$.
whats the difference beetween the notaion $M(\mathbb{R})_2$ and $M_2(\mathbb{R})_2$
19:47
one has an extra 2 in it? the notation is not as significant as what the notation has been defined to mean
in my thesis i think i used M_n(X) to denote the nxn matrices with entries from the set X
but i spelled that out in writing, and those options you listed would also work
the second one makes me wonder what the second 2 is doing
i taught out of a book that used M_{axb}(X) for the a x b matrices with entries from X
but shouldn't it be written the same way?
maybe? i don't know. where is this coming from?
in the above excerpt, they seem intended to convey the same meaning
i wouldn't assume that everybody who writes math is paying careful attention to everything they write
it's an exercise that's in my slides
@leslietownes think so
yeah, that seems a safe assumption
yes, now I will try to do the exercise
20:02
in In the search of a question, 18 secs ago, by Shaun
I'm looking for the relationship between the subgroup rank of a subgroup and that of its ambient group. This is likely to have been covered before. I can't find it though
@leslietownes as you said the correct notation is $M_2(\Bbb R)$
well, the "correct" notation is any one that has been defined so that you don't have to guess about what it means
:)
i do like M_n(X)
20:25
@SineoftheTime not the first time, but definitely a rare occurrence
can someone take a look and see if its correct
i think yes
20:46
I'm interested in defining a notion of deformed spheres like a homotopy (fixed point homotopy) that is
$h_t:S^2 \to S^2$ for $t\in[0,1]$ (here's what i have so far)
correction: fixed ENDPOINT homotopy
FEP
homotopy
Here's why it's relevant to you: at $t=0,1$ we have a Croissant surface. At $t=1/2$ we have a unit sphere
and no it's not a pinched torus
21:16
Re: the above, I asked this:
0
Q: Let $\operatorname{sr}(K)$ be the subgroup rank of $K$. When is $\operatorname{sr}(H)\le\operatorname{sr}(G)$ for $H\le G$?

ShaunThe Question: When is $\operatorname{sr}(H)\le\operatorname{sr}(G)$ for (not necessarily abelian) groups $H\le G$ (in general$^{\dagger}$)? Here $\operatorname{sr}(G)$ is the subgroup rank of a $G$. The Details: Define: $$\operatorname{rank}(G)=\min\{|X|\mid X\subseteq G, \langle X\rangle =G\}...

21:46
@leslietownes i was sitting in a math class and the professor mentioned that u can find the textbook on "some russian websites" lol
do u lecture right now?
22:13
My summer calc class has ten enrolled! Yay! It's gonna run!
2
22:31
Nice!
Does the notation $R[x,y]$ refer to the polynomial ring such that $xy \neq yx$?
Even if I want the commutative version, I can take $R[x,y] / \langle xy - yx \rangle$, right?

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