@TedShifrin Exercise 2-40 asks us to redo exercise 2-15 using implicit function. Basically we need to show that if you have a square matrix $A(t)$ where each in entry is a function of $t \in \mathbb{R} $ and we assume that $ det [A(t)] \neq 0 $ for all $t$. You also assume that you have differentiable functions $b_i: \mathbb{R} \rightarrow \mathbb{R}$, and that you have
@Kasmir I don't know about the pace or difficulty of your rep theory course. I think it's going to be really though for you if you're not comfortable with concepts like homomorphisms, quotients etc. But I'd try it if I were you
@Faust representation theory is the study of how groups act on vector spaces. Formally, you study group homomorphism from groups $G$ (most likely assumed finite in a first course) to $\operatorname{GL}(V)$ for vector spaces $V$ over a field (most likely $\Bbb C$ in a first course)
@MatheinBoulomenos my linear algerbra class is pretty wierd lol we prove everything over an arbitrary field or C and the first homework had a question using mxn matrieces as our vectors
But, it's stoopid to use implicit differentiation when we can prove directly that $A^{-1}$ is differentiable when $A$ is differentiable (and invertible). @CryinShame ... Oh, and I'm glad.
i dunno it feels like an easy redo of the abstract algerbra i have already done up to chapter 4 in our textbook im reasonable confident i could prove any theorem
@TedShifrin I'm finished for now. I finished my MS a year ago. Waiting for my other half to finish her MA and I'll make the decision about PhD. Finances and technical ability seem prohibitive right now though.
@TedShifrin Yeah I was hearing about that. Actually I was more worried about the tax situation. Being taxed at tuition prices on a graduate's stipend sounds ruinous.
We actually had classes that were impossible to take if you always do the recommended prerequisties for and you finish your bachelors and masters in time
@TedShifrin Nope. Shocking, I know. I actually mentioned it in the chat a few days ago. We went from Rudin to Folland. Just straight to measure theory and complex. No multivariable analysis.
There's more push toward applied math because academic jobs are getting more difficult. I would say make sure you have computer science skills, regardless of undergraduate/graduate status. A PhD in math will still get you various real-world jobs, whether pure or applied.
@CryinShame: Not unusual. Most of UGA's grad students had no idea what the inverse function theorem is.
Let $A \in\mathbb{R}^{n\times n}$, $n\geq 3$ be a matrix with $n+1$ elements $1$ and the remaining elements are $0$. I want to justify that $\det (A)\in \{-1, 0, 1\}$ and each of these $3$ possible values can occur.
@TedShifrin I didn't either until I decided to start doing the material myself. Analysis was always difficult for me so I'm trying to fill in the gaps. Yeah they tried to convince me to go back to do a PhD in some computational program but I don't have plans of staying in town for it.
@Antonios: Unless students come through my multivariable math course as undergrads at UGA, they don't learn it. Our multivariable analysis course has not run in decades.
but what really need support are foreign students, I think. Foreign students seldom have that high economic ability to study PhD there if not given financial support.
@TedShifrin well technically we defined the Lebesgue measure (at least in our second encounter) first in one dimension and then we used product measures to define it in n dimensions. But other than that, I think Fourier series is the only subject where we restricted ourselves to 1D
Well, I was always motivated by teaching and was — ostensibly — talented at it. But plenty of people in academia don't care about teaching. That doesn't help.
Europe is different, of course, @Mathein, but there aren't so many academic jobs there.
@TedShifrin so I need to find a linear function of matrices $L$ such that $\|(A+h)^{-1} - A^{-1} - L(h)\|/\|h\| \to 0$ where $h$ is a small enough matrix and $\|\|$ is the square root of the sum of the entries of the matrix
Right, @Leaky. If you want to make an intelligent guess, you can do algebra with that expression (I assigned that as homework in my class) or you can pretend it's differentiable and differentiate $AA^{-1}=I$. But since we're doing linear maps, you need the derivative in some direction $B$.
I like explaining things (as long as they fall into the subjects I like) and I would love to give a course my personal touch, but I'm afraid I'm not that good at teaching. I'm fine at doing it one to one, but having a lot of people at once makes it more difficult
I like difficult exercises in the subjects I enjoy. I spend a lot of time doing past grad school admission tests on abstract algebra (and I found a mistake, lol), because they were a bit more difficult than most exercises in introductory books
Here's a piece of trick math. There's a badminton tournament going on between a bunch of people, and every pair of player plays exactly one game together. Now each player makes a list consisting of other players he defeated, as well as players defeated by the players defeated by him (think of this list as a "list of formal inferiors" of that player). Prove that there exists one dude who lists every other player involved in the tournament. Also find an algorithm to determine the person.
No, there is not: it may just be confusing 'cause ambiguous to which "this" refers to". If the derivative is not continuous, then "this" function does not belong to $C^1$.
That is, the existence of the derivative is not sufficient but necessary for a function to belong to the $C^1$ class.
Hence, this terminology is used in contexts where people talk about "smoothness", as the title of that Wikipedia title.