put input functions on left side, other functions on the right side, name the left side some linear operator, and now the equation may be rewritten as operator(input)=otherstuff
I think the problem as our teacher has given us is incorrect
it asks us to simply tell whether the system is linear or non-linear
if the the equation is meant to be understood as describing a system and also giving a particular value for the output then giving the second piece of information wouldn't make sense if you only want to find whether the system is linear
it's like asking whether the function on the set of real numbers described by x^2 + x = 5 is linear or not (here linear having a different but analogous definition for functions on the set of real numbers)
makes no sense
@arctictern okay thank you for your time
I understand better what the problem with the question as stated is
@0celo7 Yes, considering many, many people (who are, as far as I am concerned, human) actually do point-set topology as research.
@0celo7 Homological orientation is awesome cool.
There is no extra intuition to be gained, no, as they are equivalent for smooth manifolds. But homological orientation is much more powerful, as it works in a more general setting. It's fine if you don't care for it though, nobody's forcing you on that.
The problem with defining orientation for smooth manifolds is that it's a parametric definition. You set an orientation on each fiber in the tangent bundle and ask it to be smooth. That makes it sort of coordinate-dependent.
Whereas, homological orientation has this simple version: an orientation on a manifold is choice of a generator in the top homology, whenever it's isomorphic to $\Bbb Z$. If it's not isomorphic to $\Bbb Z$, the manifold is nonorientable.
However, this does have an analogue in smooth topology: an orientation is the same as choice of a top dimensional form on the manifold.
I don't if that can be translated to forms: probably you'd want to ask for compactly supported forms.
Yes, I think it'd be the collection of all forms compactly supported around $p$. Or something.
Maybe you'd want to play with that idea. I think it should essentially be an analogue of germs of functions at $p$. You have to do the same thing with forms so that you can make the homology groups appropriately.
Just shoring up general knowledge of algebra. UCLA has an algebra qual, which I've already passed. But the old exams have lot of good problems, so I've been writing solutions to them.
In time, hopefully I'll add some problems from Atiyah-Macdonald to that. I should also be learning smooth topology, but we'll see where that goes. :)
Oh, OK. Just the very basics, from G&P and Stein&Shakarchi.
Onto oriented intersection theory in the former, and going through bunch of exercises from the latter from the first 3 or so chapters. Plan to study Fourier analysis from chapter 4, see what it's about.
Mostly using complex analysis as a gateway to actual analysis: people suggested that path would be more motivating than doing real analysis first.
It helps that Stein&Shakarchi has a Fourier analytic theme with it.
@ForeverMozart Interesting idea, but there are still many additions you have not defined, such as $0 + 0'$ and $0' + 0$ (I have no idea if it can be completed into an example).
Well, I'm a bit disappointed. Spent all this time getting some Double-Shift QR algorithm to work so I can solve for eigenvalues of a matrix. Turns out it's quite bad. It will get only some of them. I thought that the example procedure in the PDF they ran was "intermediate output" or output that represented what it might look like when running, but it turns out that I get the same thing when I run the same matrix (It's the end result). And to get only 75% of the eigenvalues is terrible. Sigh...
@0celo7 how can you know about homology when you don't know relative homology? it is totally fundamental. you might wish to study homology systematically
@user1618033 you are into that Ramanujan series stuff, aren't you?
@CRAZYGAYSHERIFF I never think of speciality, I just do in math what I like.
@CRAZYGAYSHERIFF Then I trained my mind particularly for real analysis approaches (and I wanted to stay away on purpose from complex analysis - for a while).
"@Balarka: The request to avoid words like "trivial," "obvious," and "clear" in mathematics is a valid and good one. :) - jul 29 at 20:06 by Ted Shifrin " i disagree
@HirotoTakahashi off the top of my head, take the set of all bijections from any open subset of $\mathbb{R}$ to any other, with the operation being composition. This works since you can only compose functions sometimes, but everything still has a left and right inverse, and composition is associative.
for a more trivial example, you can just take two groups at once, where the multiplication exists only when you take a pair of elements both from the same group, in which case it's just the old multiplication
one other popular one (if you're familiar with topology) is the fundamental groupoid, which is like the fundamental group at a point, but you just take all paths from any point to any other, with the multiplication just being composition, which only exists when one path starts where the previous one ends
(of course, this is a group if your space is a point but whatever)
I have a sequence of points (x_i, y_i), i=1,...,N and I want to find a part (x_i, y_i), i=N_1, ..., N_2 which is well approximated by an affine line. Is there any theory/algorithm about finding this part of the data set? Part of the problem is that I want the "longest" part, which still gives a "good" fit; but I don't know how to make these terms precise. I could do a linear regression on the part N_1, ..., N_2 of the data, but then I would have to try all possible "parts", which could be a lot.
@0celo7 I think of homology as a generalization of homotopy in the following way. $M$ be a manifold, then elements of $H_n(M)$ are equivalent classes of closed $n$-dimensional submanifolds of $M$ with equivalence the following: $n$-submanifolds $X, Y$ of $M$ are equiv if there is an embedded $(n+1)$-manifold $Z \subset M$ bounding $X \sqcup Y$ (pro-tip: I'm lying a bit; this definition doesn't actually work).
Then elements of $H_n(M, A)$ are equivalence classes of not-necessarily-closed $n$-submanifolds of $M$ with boundary in $A$. The correct equivalence relation is harder to understand.
This is not a simple way to think about it or anything, but I find all of this pictorially exciting.
(irrelevant, but intersection theory gets a more formal context in this "representation": if I have a closed $n$-manifold $X$ and a closed $m$-manifold $Y$, I can take intersection to get a closed $k$ manifold $X \pitchfork Y$. This indeed gives a well-defined map $H_n(M) \times H_m(M) \to H_k(M)$. If you dualize by Poincare duality, you'd get the cup product aka analogue of wedge product in de Rham cohomology - you can compute $k$ explicitly by transversality)
It might have sounded weirdly if I said instead "reaching (top) performance" just "having a lot of fun". The former form may annoy some people, but by that I simply understand having much fun with mathematics.