test
favorite branch of mathematics
ianorlin wrote:
marshall wrote:
I like linear algebra. Matrices and eigenvalues crop up everywhere in applied mathematics.
Complex analysis has that perfect balance of being both elegant and somewhat mysterious. There are a lot of fairly simple proofs of very non-obvious or very roundabout kinds of results. Analytic number theory in particular is quite mind-boggling. Euler's formula is also handy mnemonic shorthand for deriving rotations and angles/phase-shifts without having to constantly write down loads of tedious trig identities.
I find the proofs and more abstract course I took on linear algebra easier than the more computational course as easy to get sidetracked and make mistakes in the computational one with matricies.Complex analysis has that perfect balance of being both elegant and somewhat mysterious. There are a lot of fairly simple proofs of very non-obvious or very roundabout kinds of results. Analytic number theory in particular is quite mind-boggling. Euler's formula is also handy mnemonic shorthand for deriving rotations and angles/phase-shifts without having to constantly write down loads of tedious trig identities.
Solving a matrix by hand is pointless in this day and age. That's what computers are for. When I say I like linear algebra I'm talking about the theory.
ianorlin wrote:
Calculus is easy as well.
Everyone is different. I had to drop out of PRE calculus because I couldn't do it, and i only got through algebra by memorizing things..although i did get an A..same with trig.
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marshall wrote:
ianorlin wrote:
marshall wrote:
I like linear algebra. Matrices and eigenvalues crop up everywhere in applied mathematics.
Complex analysis has that perfect balance of being both elegant and somewhat mysterious. There are a lot of fairly simple proofs of very non-obvious or very roundabout kinds of results. Analytic number theory in particular is quite mind-boggling. Euler's formula is also handy mnemonic shorthand for deriving rotations and angles/phase-shifts without having to constantly write down loads of tedious trig identities.
I find the proofs and more abstract course I took on linear algebra easier than the more computational course as easy to get sidetracked and make mistakes in the computational one with matricies.Complex analysis has that perfect balance of being both elegant and somewhat mysterious. There are a lot of fairly simple proofs of very non-obvious or very roundabout kinds of results. Analytic number theory in particular is quite mind-boggling. Euler's formula is also handy mnemonic shorthand for deriving rotations and angles/phase-shifts without having to constantly write down loads of tedious trig identities.
Solving a matrix by hand is pointless in this day and age. That's what computers are for. When I say I like linear algebra I'm talking about the theory.
Calculating with matrices does not help one to prove theorems about the linear transformations that the matrices represent.
There is more to math than calculating stuff.
ruveyn
marshall wrote:
ianorlin wrote:
marshall wrote:
I like linear algebra. Matrices and eigenvalues crop up everywhere in applied mathematics.
Complex analysis has that perfect balance of being both elegant and somewhat mysterious. There are a lot of fairly simple proofs of very non-obvious or very roundabout kinds of results. Analytic number theory in particular is quite mind-boggling. Euler's formula is also handy mnemonic shorthand for deriving rotations and angles/phase-shifts without having to constantly write down loads of tedious trig identities.
I find the proofs and more abstract course I took on linear algebra easier than the more computational course as easy to get sidetracked and make mistakes in the computational one with matricies.Complex analysis has that perfect balance of being both elegant and somewhat mysterious. There are a lot of fairly simple proofs of very non-obvious or very roundabout kinds of results. Analytic number theory in particular is quite mind-boggling. Euler's formula is also handy mnemonic shorthand for deriving rotations and angles/phase-shifts without having to constantly write down loads of tedious trig identities.
Solving a matrix by hand is pointless in this day and age. That's what computers are for. When I say I like linear algebra I'm talking about the theory.
ruveyn wrote:
What is a lambda tree. I could not find it in wikipedia.
http://books.google.com/books/about/Int ... OrMHHDMZgC
ruveyn wrote:
ianorlin wrote:
Calculus is easy as well.
Yes and no. As a mechanical calculation, not hard although integration can be a bear at times.
Done rigorously the analysis of real and complex variables requires close attention and hard work.
ruveyn
Agreed. A few weeks ago, I studied online about derivatives, and it is hella easy to do the calculations. Easier than some of the algebra stuff.
But I still haven't been able to understand and develop the intuition for slopes of curves.
ruveyn wrote:
How do you propose to do number theory, then?
Number theory is almost totally abstract, a combination of set theory and Peano's postulates. Actual numbers don't come into it until later on.
But what I meant was math doesn't become interesting until you leave calculations and arithmetic and get into the theory behind it.
MCalavera wrote:
ruveyn wrote:
ianorlin wrote:
Calculus is easy as well.
Yes and no. As a mechanical calculation, not hard although integration can be a bear at times.
Done rigorously the analysis of real and complex variables requires close attention and hard work.
ruveyn
Agreed. A few weeks ago, I studied online about derivatives, and it is hella easy to do the calculations. Easier than some of the algebra stuff.
But I still haven't been able to understand and develop the intuition for slopes of curves.
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