BTW, Demonark, when Karim says diff geo he doesn't mean diff geo. He means basics of manifolds and bundles and differential forms (so more like diff top for you).
Karim needs to stop calling things differential geometry when they aren't :) When you have a connection on a vector bundle, then call it differential geometry :P
Some familiarity with the basics of Riemannian geometry will definitely help you when you're doing the Chern connection on a hermitian complex manifold or holomorphic vector bundle.
Demonark: First, I don't think UC teaches complex manifolds. Second, you should do a graduate course in basic manifolds first. I don't think it's a high priority for you, no.
@Faust: Doing easy polar coordinates tomorrow, but I'm going to have them discover things about ellipses and why you get them when you slice a cone right.
Maybe just Riemann surfaces then? Would that be more tractable? And also do you have a source you recommend? I know Balarka was doing Forster and someone once recommended I check out Miranda
@TedShifrin i had a question from a student of mine regarding maximizing the area of a triangle of two given sides which were not the base by choosing the angle between those two sides
Riemann surfaces is a better idea, Demonark. I don't know Miranda's book. Forster has a lot of serious analysis. You might check out Griffiths's beautiful little book for a less overwhelming treatment (no sheaf cohomology, for example), Introduction to Algebraic Curves ... more classical.
I think this is all irrelevant, @Faust. All you know is two sides $a$ and $b$. Let $\theta$ be the included angle. Then the area is $\frac12 ab\sin\theta$.
It's a bit dated, but I like Ahlfors better than most modern alternatives. I don't know them all. But I tried teaching out of Stein/Stakarchi and was highly disappointed.
Oh, I know that book. It's sort of exhausting. It's pretty computational, but there are bunches of different chapters doing the same thing over and over with slight changes.
You need to know basic separation of variables from ODE for sure, Faust, but you also need to know multivariable calc (Stokes's and divergence theorem).
I taught a year-long applied math course back in 1986-87. I based it on Strang's (then) new applied math book, adding a lot more exercises and proofs. But it was a great course, and I learned a ton teaching it. We talked about complex analysis, Fourier stuff, discrete Fourier stuff, PDEs and fundamental solutions, lots of cool stuff.
Stationary phase is so awesome.
I also loved thinking of wave velocity and the Kelvin angle for waves in water.
In mathematics, the stationary phase approximation is a basic principle of asymptotic analysis, applying to oscillatory integrals
I
(
k
)
=
∫
g
(
x
)
e
i
k
f
(
x
)
d
x
{\displaystyle I(k)=\int g(x)e^{ikf(x)}\,dx}
taken over n-dimensional space ℝn where i is the imaginary unit. Here f and g are real-valued smooth functions. The role of g...
Ok, probally a good call. i have to take an advanced linear algerbra class and topology and and a second class in real analysis i need to take one more course. my options are a 4th year number theory class a 4th year advanced odes class, an abstract algerba class on galois theory an applied abstract algebra class or a combinatorics class. any suggestions?
In mathematics, the method of steepest descent or stationary-phase method or saddle-point method is an extension of Laplace's method for approximating an integral, where one deforms a contour integral in the complex plane to pass near a stationary point (saddle point), in roughly the direction of steepest descent or stationary phase. The saddle-point approximation is used with integrals in the complex plane, whereas Laplace’s method is used with real integrals.
The integral to be estimated is often of the form
∫
C
...
@Faust: You just have to be realistic. Take more time and actually learn something and pass. You're not a super-star student. Take some non-math along with 2 (max 3) math.
Well i do have an ideaic memory and im reasonably smart so that helps with digesting the information, i currently have above 90% on all my midterms and close to 100% on all my assignments so im not doing badly its just topology and PDE's scare me
There's plenty of stuff in there I certainly don't know, but I taught some of the stuff in my applied math course. (I think I stole most of my stationary phase stuff from there.)
@Faust: I'm not trying to be mean, but after 40 years of advising students, I think I know you well enough to make reasonable suggestions.
I'm thinking of doing measure theory, measure-theoretic probability, mathematical statistics (all 3 are cross-listed grad courses), and a fourth year stats course for my first semester in fourth year. Does that sound reasonable?
Taking 4 classes can be possible, if one of more of those classes is "beneath" you (i.e you know the material already or at least are way more experienced/skilled than the majority of the class).
It's all the same flavor stuff, which I don't like for an undergrad — probability/stat is totally overlapping a lot. And measure-theoretic probability should have measure theory as a prereq.
@TedShifrin it just financially its really hard for me to only take 3 classes i have alot fo mortgages and you never know when a big expense may come up and im not too sure how long the money i have will last
I'm done giving advice. Obviously the guys doing Ph.D.'s in math have abnormally great talent in math. Not all undergraduate math majors have that much talent.
Well, I find philosophy incredibly difficult, @PVAL, so I would tend to agree. But a sociology or an econ or an intro biology or a survey of literature or intro bio. I dunno.