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5:05 PM
............
 
Shall I just tell you?
 
So, I'm a little confused as to what non-conservative means in this context.
 
what does conservative mean?
 
Does it mean the paths are restricted to the connected subset as well?
 
I don't know what you mean by that.
I thought we defined conservative vector fields over open sets above.
 
5:08 PM
@BalarkaSen I think you should go slower and be patient with responses.
 
So, conservative means that the closed loop integral is zero for all the closed loops on space, right?
 
I am not a good example of the ideal teacher.
actually the ideal teacher is Huy and he's just a troll
3
 
@MikeMiller Hah, alright. Good point.
@JuanSebastianLozano Yes, conservative means integral of the vector field over all closed loops is zero on the open set it's defined.
 
Okay, so if we consider the fact that an irrotational field if conservative over a simply connected space $U$, then it seems that all the loops which can exist on the space $U- \{a\}$, where $a$ is some point is a proper subset of the loops that exist on $U$, so then it would still be conservative.
 
Restriction of a conservative vector field is conservative, yes.
So whatever nonconservative vector field over $\Bbb R^2 - 0$ there is, it cannot be extended to $0$.
It must have a singularity at $0$.
 
5:17 PM
What about $X = (\ln (y), \frac{x}{y})$?
 
you probably want $\ln|y|$ at the very least
 
Whoops, of course.
 
@JuanSebastianLozano That's not defined on the entire $y$-axis.
$x$-axis, sorry.
 
that too
 
Try working with rational functions.
 
5:18 PM
^
 
if one were going to do a lot of this, i'd suggest going into polar coordinates and assuming rotational symmetry in order to get an example
might be overkill here
 
If one understand what curl = 0 means, I think it becomes easier to construct an example
 
sure.
 
I'm trying to find functions (other than the obvious ones, which are conservative) where curl = 0, which is how I got the above one.
 
What does curl = 0 really mean? Geometrically?
 
5:22 PM
That the vector field looks radial
 
@BalarkaSen I suspect you're probably thinking it's too easy to come up with examples. When you first asked about this, you did not understand how the denominator played a role in the story, even given the apparent geometric meaning.
 
No, I don't, not really. I am asking Juan if he knows what curl = 0 means better than just "it looks swirly" - I think it becomes easier to come up with an example then, I am not sure.
 
Mike, I like your idea about polar coordinates, but I showing that it's not conservative is harder in polars, I think.
 
I already know an example, so I can only suspect what's easier.
 
@JuanSebastianLozano was that directed to MikeM or to me?
 
5:25 PM
Oh, whoops, it was to you.
 
as it happens, it was correct in any case---my first name is Michael, i just don't use it as my handle.
 
That's lucky :P
Okay, so what sort of thing are you meaning by Curl = 0's meaning?
@BalarkaSen
 
in any case, if one writes the vector field as $A=A_r \hat{r}+A_\theta \hat{\theta}$
 
It's radial if $A_\theta = 0$
 
looking at an exercise in a book about graph colouring that begins with "Euler's formula implies that every planar graph has a vertex of degree five"
what is being left out/said incorrectly here
 
5:29 PM
i am skeptical
can you give some further context, maybe?
 
then the 2D curl is $\partial_r(r A_\theta)-\partial_\theta A_r$
 
@JuanSebastianLozano I don't know if I can explain what I mean without explaining what I mean. A vector field has curl = 0 if drawing a small disk on $U$ somewhere it doesn't instantaneously rotate around it's axis under the force of the vector field.
 
Every simple planar graph with no cycles has one vertex of degree less than five, as a consequence of Euler's formula
 
wow.
 
@user1618033 welcome back :-)
 
5:31 PM
a little different from the original formula
 
also, like, that's all it says before it gives part (i) which is proving the 6-colour theorem
 
(ii): prove the 5-color theorem
(iii): prove the 4-color theorem
(iv): prove the 1-color theorem
 
1-color theorem!
 
(V): prove the -4 color theorem.
 
5:33 PM
luckily part 2 is some random thing and part 3 is the 5-colour theorem and then it ends
 
(VI) prove the 5-senses theorem
 
@BalarkaSen every graph can be colored with one color
 
so deep much math wow
 
the 1-colour theorem: every planar graph can be coloured with at least 1 colour
 
i like the 2-color theorem: every linear graph can be colored with at most two colors
that's a good exercise.
or at least, that's an exercise
 
5:36 PM
Does "linear graph" mean what I think it means
 
I mean if you know induction you're good
 
what do you think it means?
 
graph sitting inside R.
 
2-color theorem: If every vertex is degree one, you can color it with two colors where no two adjacent vertices have the same color
(Note: Independant of ZF!)
 
$(x-y,x)$?
 
Huy
5:38 PM
@MikeMiller :(
 
i'd assume it's a graph with vertices labelled 1,...,n with edges only between vertices labelled by adjacent numbers
 
@BalarkaSen I wouldn't push someone for an example for hours. I would use the example as a good pedagogical example and move on.
@Semiclassical i was just thinking graph inside R
 
I'll define my graph as having vertex set $\mathbb{R}$ and with adjacency inherited from the euclidean topology
 
Fair enough. @Juan Here goes.
 
fair enough
 
5:39 PM
Take $1/\|\mathbf{x}\|^2 (-y, x)$.
 
@SamuelYusim is it true that every possibly infinite planar graph can be 4-colored?
 
The -4 color theorem: you can uncolor an optimally colored graph by uncoloring only four colors.
 
I have no idea
 
@SamuelYusim How do inherit that from the topology
 
You can show that it integrates to $2\pi$ along the unit circle, so is not conservative.
 
5:40 PM
by planar graph here I mean the vertex set should be discrete and there should only be finitely many edges adjacent to a given vertex, and then topological embedding
 
@akiva: easy, just take consecutive real numbers to be adjacent
 
@MikeMiller I'mma go with "yes", though maybe you need Choice?
 
why would you need choice?
 
to connect with the polar coordinates comment, that corresponds to $A_r = 0$ and $A_\theta = 1/r$
 
'Cause infinity be weird.
 
5:41 PM
which in accordance with the above formula has zero curl
 
great reason
 
Why is it irrotational? You can tell that by looking at the picture: desmos.com/calculator/eijhparfmd. Since all the vectors sticking out are unit vectors, placing a small disk somewhere won't rotate (around it's axis) under the force.
So even though it "looks swirly", curl = 0.
 
@MikeMiller And 'cause that other theorem needs it (just a sec)
 
I'm sitting in on an infinite graph theory class so I'll ask the prof on monday or something
 
5:42 PM
Yeah, that makes complete sense.
 
in the meantime: is an uncountable disjoint union of copies of $K_{1,3}$ planar?
 
I guess the problem is I assumed all fields of that form would be conservative without checking.
 
no, @SamuelYusim, since an uncountable set in the plane has an accumulation point
the vertex set is automatically countable if we say planar
 
obligatory physics discussion: that's actually a horizontal cross-section of the magnetic vector field produced by a current-carrying wire pointing straight up
 
@AkivaWeinberger that's a better reason, thanks
 
5:44 PM
@Juan That there is an irrotational vector field on $\Bbb R^2 - 0$ which is not conservative says that $\Bbb R^2 - 0$ is not simply connected, due to all what we discussed. So there's some topological invariant going on. Let's try to put all these in a different context.
 
the fact that the curl is zero where the field is well-defined tells you that there's no source of current away from $r=0$ (i.e. the current runs only through the wire)
 
i suspect that when two-three people are trying to teach someone something, the someone learns nothing
 
pfft.
 
It's okay, I'm learning a lot :P
 
So, now we can introduce the formality of differential forms (about time!)
 
5:46 PM
@Semiclassical Yes, that's something we talked about in E&M.
 
at the same time, Ampere's law guarantees that there should be a nonzero circulation of the magnetic field around the origin due to the presence of the current
 
@BalarkaSen okay
 
so if we were to interpret the magnetic field as a force field, then it'd necessarily be a non-conservative field
 
(I can see where this is kind of going because you talked about how differential forms can be used to make a 'cohomology theory')
 
@Huy every room needs a troll
 
5:48 PM
if you wanted a genuine force field, you'd want to replace the magnetic field with an electric field. in that case, one would need to replace the current-carrying wire with a 'string' of magnetic field in its place
moreover that field would need to be time-varying in order to actually produce an effect. not so nice.
 
i'm going to bow out of this discussion because i think there are probably already too many people in the pile :)
 
i'm done myself, to be clear.
 
@JuanSebastianLozano $U \subset \Bbb R^2$ be an open subset. $0$-forms on $U$ are smooth functions on $U$. 1-forms on $U$ are expressions of the form $f dx + g dy$ where $f, g$ are smooth functions - you should think of them as vector fields $X = (f, g)$, but a version which also enables vector fields to be integrated. 2-forms are expressions of the form $f dx \wedge dy$, where we have the convention that $dx \wedge dy = - dy \wedge dx$.
I am not sure if this is the best way to introduce differential forms but let's move forward and try to understand this better as we proceed.
Note that the collection of i-forms form a $\Bbb R$-vector space, call it $\Omega^i(U)$.
Do you follow me?
 
Antisymmetry, like a lie bracket and a cross product? Is that how I should think about them>
 
You should think of it as orientation.
A 2-form is something which can be double integrated (given $f dx \wedge dy$, just define integration as $\iint_D f dx dy$)
And if you switch the order of the $dx$ and $dy$, there is a $-$ sign because orientation gets changed.
 
5:59 PM
Okay, yeah, which is the same as the cross product. Okay. I follow so far, but do you mean integration as anti-differentiation? Or do you mean definite integration?
 
I just mean integration over a region, Riemann integral if you prefer. Anti-differentiation doesn't make much sense in this context.
$dx \wedge dy = - dy \wedge dx$ is a signed/oriented version of Fubini's theorem.
 
Got it, that makes sense.
 
Alright, we will soon understand this better I hope.
So, we have this vector space $\Omega^i(U)$ (we can add together two $i$-forms, multiply by a scalar, etc...).
 
A vector space over $\mathbb{R}$?
 
Yes.
 
6:04 PM
Okay
 
OK, so there is a more or less natural map $d : \Omega^0(U) \to \Omega^1(U)$, given by $df = \partial f/\partial x dx + \partial f/\partial y dy$.
This is called the exterior derivative map. As you see, this is just taking $f$ to it's gradient vector field $\nabla f = (\partial f/\partial x, \partial f/\partial y)$.
So in the vector field context it's the same as the map $\nabla$.
 
Yea, okay, that makes sense.
Does that mean every $\Omega^i(U)$ is conservative?
Or, just that the image of $d$ is?
 
I don't know what you mean by that. A vector space cannot be conservative :)
 
member of the vector space, sorry :P
 
The image of $d : \Omega^0(U) \to \Omega^1(U)$ consists of conservative vector fields, yes, under the identification of the 1-form $fdx + gdy$ with the vector field $X = (f, g)$.
 
6:11 PM
Okay, cool, but $\Omega^1(U)$ is just 'the free space' of one forms (meaning all the possible one forms)?
 
Yes, all possible one forms.
 
Okay, cool.
 
You see, we're frequently using the identification of a 1-form $fdx + gdy$ with the vector field $X = (f, g)$ to interpret this obscure abstractness. This is useful, but keep in mind a 1-form is more than just it's corresponding vector field. It's something which can be integrated too. But we'll understand more about that soon.
So, we defined exterior derivative map $d : \Omega^0(U) \to \Omega^1(U)$. We can also define an exterior derivative map $d : \Omega^1(U) \to \Omega^2(U)$ given by $d(fdx + gdy) = (\partial g/\partial y - \partial f/\partial x) dx \wedge dy$.
 
This time one eats a vector field $X$ and spits out it's $\text{curl}(X)$, yes.
So the kernel of this map consists of... what vector fields (identifying 1-forms with vector fields)?
 
6:17 PM
Is that map unique? Or is it a clever one informed by vector calculus?

The kernel is the irrotational vector fields.
 
Right, kernel of that map consists of irrotational fields. What do you mean by unique (I think I know what you mean, but I want to clarify before answering)?
 
Like, how do we know that that is the choice of map that we want? Is it just that it happens to line up with our notion of curl?
Could we have chosen another map?
 
Very good question :) No, it is in a sense unique. I didn't explain where the map came from because I didn't wedge product in full generality.
I know my definition of $d : \Omega^1 \to \Omega^2$ looks ad hoc, but it's actually quite natural.
But maybe we'll come back and discuss this a bit later? I just want to finish what I am talking about right now before getting to something else, is all.
 
Yeah, no problem! Let's continue.
 
OK, so we have a sequence of homomorphisms $\Omega^0(U) \stackrel{d}{\to} \Omega^1(U) \stackrel{d}{\to} \Omega^2(U)$. $d \circ d = 0$, because $\text{curl} \nabla = 0$ as we just proved. This is thus a chain complex. We can look at the 1st homology of this complex $H^1(U) := \text{ker} d/\text{im} d$. This precisely measures how many irrotational vector fields there are modulo conservative ones.
 
6:26 PM
If I'm asked to find the orthogonal for matrix:
1 0
1 0
 
This is called the 1st de Rham cohomology of $U$. We proved about $H^1(U) = 0$ whenever $U$ is simply connected, and that $H^1(\Bbb R^2 - 0)$ is nontrivial since $1/\|\mathbf{x}\|^2 (-y, x)$ is a irrotational field which is not conservative on $\Bbb R^2 - 0$.
This is how all we talked about so far fits into a general context of cohomology.
 
I'm not sure what to do about the second column. It would be a div-zero if I use the formula.
Within: $u_{2} = \frac{1}{||v_{2}||}\times v_{2}$
 
@Owatch What do you mean by the orthogonal?
 
Oh, I'm sorry. I mean I want to normalize.
I have orthogonal basis above, and I need the orthonormal basis.
So I want to normalize the column vectors.
 
@JuanSebastianLozano See if you digest this. We haven't so far introduced anything special: we have just put everything into a philosophically satisfying context of cohomology. In fact we haven't used the extra structure differential forms carry with them either (namely, the ability to be integrated).
 
6:29 PM
@Owatch You don't have any basis there
 
Oh, they have to be nonzero set?
Or the vectors must be nonzero ?
 
@Owatch They have to be a basis (look up the definition if you forgot it)
 
Sorry, had to step away for a second.
 
No need to apologize. We all have work to do. :)
 
Okay, I see how this is a chain complex, it is a really nice set up. So, for a simply connected open set, the 1st de Rham cohomology group vanishes, just like the first homology group.
Why is this cohomology instead of homology?
 
6:40 PM
I've got "A set of vectors $\{u_{1}...u_{p}\}$ in $R^n$ is said to be an orthogonal set if each pair of distinct vectors from the set is orthogonal. (And the zero vector is orthogonal to everything). That is, if $u_{i} \cdot u_{j} = 0$ when $i \neq j$. Then, "If $S = \{u_{1}...u_{n}\}$ is an orthogonal set of nonzero vectors in $R^{n}$, them S is linearly independent and hence is a basis for the subspace spanned by S".
I guess the vectors are not nonzero.
In my case.
 
@JuanSebastianLozano I lied, it wasn't really a chain complex. It's a cochain complex. The indices increase instead of decreasing.
Anyway, that's a formal thing.
 
So then what is Wolfram doing when it tells me the result is:
1 0
0 0
For the command "orthogonalize {{1,0},{1,0}}" ?
 
Okay, yeah, so its because our map goes from $\Omega^0 \to \Omega^1$
 
Mhm.
 
Huy
cuz what else do you expect owatch
 
6:44 PM
So, what's next? @Juan.
 
What do you mean, I'm asking here.. It's giving me a result when I apparently don't have any basis at all.
What is the result
 
@Owatch You do not seem to have input the same matrix into WA as you gave us.
 
What do you mean, that's is exactly the same matrix.
I wrote this earlier:
1 0
1 0
Which is: {{1,0},{1,0}}.
And Wolfram Interprets it as such.
 
Well, if you want to continue the chain complex you define $\Omega^3$ and a mapping $d:\Omega^2 \to \Omega^3$
 
Yes, we were working with subsets of $\Bbb R^2$, in which case they are zero so I didn't bother defining that. You can do that.
 
6:47 PM
Why is that?
(Like I get it at a calculus level, I don't know why that transfers here)
 
Well, first you have to know what 3-forms are.
It's probably worth mentioning that if you work with subsets of $\Bbb R^3$, the map $d : \Omega^2 \to \Omega^3$ in some appropriate way is the divergence map.
 
Another online calculator I found gives me a different result than Wolfram. It just gives back the input..
 
Would it just be $dx\wedge dy\wedge dz$
?
In which case, I can see why it would be zero if this product behaves like I think it does, since $dz=0$
 
@Hippalectryon hheyyyyyyy!!! :-)
 
Yes, 3-forms for subsets of $\Bbb R^3$ are expressions of the form $f dx \wedge dy \wedge dz$, with the convention the switching any two of the three $d(\text{blah})$'s adds a $-$ sign.
 
6:57 PM
@user1618033 I thought you were gone for good and so was your book ;-;
I was wrong yay
 
@Semiclassical sure. Try it when you have time, it's a nice simple integral.
@Hippalectryon lol :D I'm like a gladiator in this life, I never give up until I have reached all my objectives successfully. :-)
 
Okay, that makes sense.
Thanks for explaining all of this. So is there something cool about the integration structure?
 
@Hippalectryon I can only tell you that I obtained absolutely outstanding results in the last period of time.
 
@user1618033 \oo/ .. and I know I'm always bugging you with this, but how the book doing ?
 
user147690
Very tired, but must work on forever: I want to talk about taking a point and a line, and taking their span in projective space, how to make this rigorous?
 
7:01 PM
@Hippalectryon All is fine. It still takes some time for reasons that don't depend on me.
 
user147690
Do I have to take the cone back into affine space, make sense of it there, and projectivize?
 
Yay :DD
 
@Hippalectryon I can only tell you that in my book you'll find stuff that no one ever did before (if this seems anything exciting for you).
 
@user1618033 Which is why I keep asking about it :-)
 
:D
@Hippalectryon How are things there at you? Still in France?
 
7:03 PM
@JuanSebastianLozano Since we're discussing these, let's just define forms in full generality.
 
@user1618033 Well, exams went well this year :P all's going fine for now. Except that I stayed too late working, didn't see the time pass, and only realized it after dinner time was over :(
 
@Hippalectryon I have the same annoying problem. I don't realize how time goes by, it seems to me that 2, 3 hours pass like 5 minutes. Then I go to bad very late in the night these days, 05:00 am or so.
 
Suppose $U \subset \Bbb R^n$ is an open set. $k$-forms on $U$ are expressions of the form $\sum_I f_I dx_I$ where $dx_I = dx_{i_1} \wedge \cdots \wedge dx_{i_k}$, $I = \{i_1, \cdots, i_k\}$. Index $I$ runs through ordered $k$-tuple subsets of $\{1, \cdots, n\}$
These similarly form a $\Bbb R$-vector space $\Omega^k(U)$.
 
@Hippalectryon People close to me are really upset because of my schedule, but eventually they want me to be in a good shape. I have many ideas to work on, no time to postpone.
 
We define wedge as $dx_I \wedge dx_J = dx_{(I, J)}$, and extending this billinearly to wedge in general. This product thus takes a $k$-form and a $k'$-form and spits a $k+k'$ form
 
7:09 PM
@Hippalectryon At some point I was asking myself if one day I'll wake up and realize that I have no new idea, but lately things have improved, I have more and more ideas than ever before.
 
@user1618033 Well, dont put your future health at risk though :-)
 
@Hippalectryon Yeap, good to consider that.
 
Then the exterior derivative map becomes much more apparent: $d : \Omega^0(U) \to \Omega^1(U)$ is defined as usual by $df = \sum_i \partial f/\partial x_i dx_i$.
 
@Hippalectryon are you working in the same place? You did some stuff related to chemistry, didn't you?
 
And we define $d : \Omega^k(U) \to \Omega^{k+1}(U)$ by $d(f dx_I) = df \wedge dx_I$ and extending linearly.
 
7:11 PM
@user1618033 I haven't moved
 
You can check that this definition agrees with curl for subsets of R^2 and $d : \Omega^1(U) \to \Omega^2(U)$.
 
@Hippalectryon I see.
 
@user1618033 Maths, physics, chemistry. I have been way more on the chemistry chat lately than in the math chat, since you weren't there (or at least I didn't see you)
 
@Hippalectryon You seemed pretty busy in some of the past days.
 
I'm getting bloody nowhere. I want to QR factorize a 2x2 matrix of 1's. To do this, I perform the Gram-Schmidt procedure to find the orthonormal basis for it. I get the orthogonal set of vectors {{1,0},{1,0}}. And then I need to find the orthonormal vectors. So I normalize each column vector, which is then impossible because you can't normalize a zero vector.
 
7:12 PM
@user1618033 Ah yeah the last two weeks were especially busy
 
@Hippalectryon I wasn't around for a good while, I tried to focuse only on my mathematical research. It was a great time to me.
@Hippalectryon I see.
 
@Adeek How did the algebraic topology exam go?
 
Wait, so there are $\binom{k}{n}$ terms?
 
$\binom{n}{k}$, but yeah.
 
Okay, and what do you mean by $dx_{(I,J)}$?
 
7:16 PM
$I$ is a $k$-tuple, $J$ is a $k'$-tuple. $(I, J)$ here is concatenation: it's the $k+k'$ tuple by concatenating $I$ and $J$.
So ({1, 2}, {3}) = {1, 2, 3}
 
@Hippalectryon Just a curiosity about what you said before: did I ever look like someone that might give up? Referring to my book?
:-)
 
@user1618033 No, but you could have not come again to this chat, and I'd have no way to contact you to know when your book is out
 
@Hippalectryon OK :-)
 
So $dx_{1,2,3,...}= dx_1 \wedge dx_2 \wedge ...$, and $dx_{1,2} \wedge dx_{3,4} = dx_{1,2,3,4}$?
 
Yepper.
 
7:24 PM
Okay, and the negative from the curl comes from the order of the differentials.
Okay, yeah, I got it, that makes sense. It was a little hard to digest at first.
 
@JuanSebastianLozano Yep.
The formality in setting up differential forms can be intimidating. But there's more geometry going on than one sees at first glance.
 
Does this extend to a more general context than $\mathbb{R}^n$?
Also, can you set up a chain complex by integrating? Or do the mappings not work like that.
 
Yes, it extends to arbitrary smooth manifolds.
Integrating a form over something results a scalar (I mean, it's just $\iint_D f dx_1 dx_2 \cdots dx_n$). Not sure how you'd construction a chain complex out of that.
 
If the normalized form of the zero vector is the zero vector. Then how is it that normalizing the vectors of the Matrix:

1 0
1 0
Gives:
.707 .707
.707 .707
When I get:
 
I was thinking of a single integration, but I guess that only makes sense in special contexts, when the order integration doesn't matter and the domain is nice.
 
7:38 PM
.707 0
.707 0
Clearly. The first column vector is: $\frac{1}{\sqrt{1^{2} + 1^{2}}} \times v_{1}$.
But how on earth is the second vector the same? It should be zero. Why does the online calculator say differently
 
@JuanSebastianLozano There's an interesting idea here I won't say anything about.
It will not work in the form you're thinking, though.
 
I am curious to hear what's the idea.
 
That's why I'm not going to talk about it.
 
Wolfram seems to agree this time. But I don't know why all these tools are so inconsistent.
 
Sure. But can I hear what's the goal? To construct a map $\Omega^n \to \Omega^{n-1}$?
 
7:42 PM
No.
Ask me when you're done with the book.
 
OK, thanks.
 
Also, one can of course construct a map ($d^*$). It's not even interesting that one can write down maps in the other direction that form a chain complex. The point is that you can do so by integrating.
 
I see.
 
I guess I should say something trivial about it. If you have a (compactly supported say) $n$-form on $\Bbb R^n$, what would you try to do to get a form of smaller degree?
 
If it's a closed form, then it's exact since it lives in $\Bbb R^n$. I can try to find out what is $\omega$ such that my form is $d\omega$. Seems rather far-fetched, I suppose.
 
7:47 PM
That doesn't seem in the spirit of what Juan suggested at all.
 
Well looks like the tool I was using is in-fact wrong.
Yet more evidence I am always right.
And that the internet is trying to undermine me.
And I fixed the problem.
Good. All is fine for now.
 
I don't know what I want to do, I suppose.
 
Hello, if g is continuous on a compact [0,1 is g^2 still continuous on [0,1]
?
 
@Vrouvrou Yes. The product of continuous functions is continuous.
Unless you meant to write "uniformly continuous" (which is different), the domain [0,1] doesn't matter.
 
7:59 PM
so if i have $f,g\in (C([0,1],\mathbb{R})$ then i can say that $\int_0^1 (gf)^2 dt=\int_0^1 g^2(t) f^2(t) dt \leq \sup_{x\in[0,1]} g^2(x)\int_0^1 f^2(t)dx$ @AkivaWeinberger
 
I believe so.
Though, now, the domain [0,1] is relevant because it assures us that the functions are bounded and thus the supremum isn't infinity
 
yes
 
Well I sent an email about the tool mistake to the owner.
Hopefully he fixes it.
 
g^2 must be continuous on [0,1] to say that $sup g^2 <\infty$ @AkivaWeinberger
 
@MikeMiller I guess I have an idea to "antiderivate" a compactly supported n-form on $\Bbb R^n$ to get an $n-1$ form but it looks far fetched and not useful. Take $f dx_1 \wedge \cdots \wedge dx_n$ and spit out a signed sum of $(\int_0^t f(x) dx_i) dx_1 \wedge \cdots \hat{dx_i} \cdots \wedge dx_n$. Doesn't look promising.
 
8:09 PM
Nah.
 
Perhaps we should really discuss this when I have done the book and have learnt more about differential forms. Thanks though.
 
let's write $\Bbb R^n$ has $\Bbb R \times \Bbb R^{n-1}$. Write every form as $\sum g_I dt \wedge dx_I$. then 'integration over the first factor' gives you a $(k-1)$ form on $\Bbb R^{n-1}$
 
I need help to solve this problem: in $X=C([0,1],\mathbb{R})$ with the norme $||f||_2=\sqrt{\int_0^1 f^2(x)dx$ we define $T:X\rightarrow X$ by $Tf=gf$ for $g\in X$ How to prove that $T$ is continuous and how to find $||T||$ ? I find the constante of continuity $\sup g^2$ but i can't prove $||T||=\sup g^2$ have an idea @AkivaWeinberger ?
 
Oh yeah that's true. I was close, why the hell didn't I think of that.
$f$ is compactly supported. Duh.
 
how does this play with closed forms?
 
8:18 PM
@DanielFischer hello
 
8:29 PM
Sorry, I was away. So let me try to understand your map a bit. Suppose $fdx + gdy$ is a 1-form, $f, g$ are compactly supported. What does integration give me? $\int_\Bbb R f(x, y) dx$? I guess I am confused about if your $t$ in $dt \wedge dx_I$ is fixed : in this case $dy$ cannot be written as $dx$ wedge something.
 
someone help me with my question ?
 
i guess i should be more careful. let's work with $\Bbb R^2$, like you say. Define the 1-form on $\Bbb R$ by $\alpha'(x) = \int_{\Bbb R \times \{*\}} \alpha(x,\cdot)$.
so the $dy$ just dies.
 
@Vrouvrou What is ||T|| ? The subordinate norm of T with respect to ||_|| ?
 
@MikeMiller doesn't this map give you a family of functions, then, since the $dy$ dies?
 
The continuity of T is rather clear via the definition of continuity btw @Vrouvrou
 
8:38 PM
Which is consistent with regular antidifferentiation.
 
@MikeMiller so I suspected.
 
But not great for our purposes, because then nothing maps to zero uniquely, for example
 
@Juan we're not antidifferentiating. it's just integrating with respect to the first coordinate over all of $(-\infty, \infty)$.
 
@Hippalectryon $||T||=\sup_{||f||_2=1}||Tf||_2$
 
which we can do as out form is compactly supported.
 
8:39 PM
how am I differentiating?
 
I don't really understand what is going on, now that re-read that question.
So, disregard it.
 
@Hippalectryon for the continuity i do: $||Tf||^2_2=\int_0^1 (gf)^2 dt=\int_0^1 g^2(t) f^2(t) dt \leq \sup_{x\in[0,1]} g^2(x)\int_0^1 f^2(t)dx$
 
I have to leave for now. I'll think about what's the deal with this. I'll be back later.
Thanks, @MikeMiller. See ya @Juan.
 
@Vrouvrou Well it's clear that $||T||\le\sup g^2$ right ?
 
8:48 PM
@Hippalectryon no $\leq \sqrt{\sup g^2}$
 
Hello!!

Suppose that $R$ is a commutative ring and $(x,y)$ is an ideal.
We have that $(x,y)^2=(x,y)(x,y)=\{ij \mid i\in (x,y) , j\in (x,y)\}=\{x^2, xy, yx, y^2\}=\{x^2, xy, y^2\}$.
Is the ideal $(x^2,xy, y^2)$ equal to the set $\{x^2, xy , y^2\}$ ? Or is it maybe $\{x^2, xy , y^2\}\subseteq (x^2, xy , y^2)$ ?
 
@MikeMiller wait so the mappings from $\Omega^{i+1} \to \Omega^i$ stayed within $\mathbb{R}^n$, but your notion of integration creates a new form in a lower dimension, right?
 
@Hippalectryon yes
 
@Vrouvrou Yeah sorry that's what I meant (I can't edit the message above anymore)
 
@JuanSebastianLozano Yes, it's a map $\Omega^{i+1}(\Bbb R^n) \to \Omega^i(\Bbb R^{n-1})$.
 
8:49 PM
ok @Hippalectryon
 
@Vrouvrou Now, can you find a function $f$ such that $||Tf||^2=\sup g^2,||f||=1$ ?
 
@Hippalectryon i tryed $f=1$ but it gives me $||Tf||\leq \sqrt{\sup g^2}$
 
So you could make a diagram that looks like this, where $\psi$ is your map?
 
@Hippalectryon are you there ?
 
@Vrouvrou yes, writing down some ideas. It's a bit less "trivial" than I thought indeed. We probably can't find $f$ such that $||Tf||^2=\sup g^2$, but we can construct a sequence $f_n$ such that $\lim||Tf_n||^2=\sup g^2$
 
8:58 PM
@Hippalectryon that's a good idea
 
@Vrouvrou Let $a$ be such that $g(a)=\max g$. Now let $\epsilon>0$ and $f_n(x)=\begin{cases}\sqrt{\frac{n}{2\epsilon}},x\in[a-\epsilon/n,a+ \epsilon/n]\\0\text{ otherwise}\end{cases}$
 

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