Abstract linear algebra versus applied

In summary: I think of it as some type of exotic math, because it really works so different than typical analysis. It is very fun, and the proofs are so much better. Say goodbye to boring and ugly epsilon-delta proofs.oh man you're preaching to the choir! I bought a copy of Visual Complex Analysis and can't put it down... sooooo... yeah, complex analysis is definitely cool. I think of it as some type of exotic math, because it really works so different than typical analysis. It is very fun, and the proofs are so much better. Say goodbye to boring and ugly epsilon-delta proofs.
  • #1
jmnance
20
0
I have taken applied linear algebra http://courses.illinois.edu/cis/2009/fall/schedule/MATH/415.html?skinId=2169"

and didn't learn anything really since i never went to class (yeah yeah yeah I know). I am taking intro to abstract algebra 1 and 2 this year. My friend took the abstract version of linear algebra http://courses.illinois.edu/cis/2009/fall/schedule/MATH/416.html?skinId=2169"
and said he learned linear algebra really well because of how abstract it was. I plan to go on to grad school for math and am wondering if I should take this abstract linear algebra course before I attend or if I will have learned the meat and potatoes by means of taking the under grad abstract algebra courses and a grad level abstract algebra.
 
Last edited by a moderator:
Physics news on Phys.org
  • #2
Wow.. I took honors linear algebra (Prof.Ando) last semester
I think if you've taken 415 then you don't need take this course
it's a proof-based course though
but about 1/2 students taking 416 have not even seen matrix before...
so the course will probably very easy for you since you already know Linear algebra stuff
 
  • #3
Was honors lin alg 416? I know that Ando taught that. Was Rick Barber in your class?
 
  • #4
yeah, it's honors 416. I know Rick, but he probably don't know me.. lol
Still I think the course will be very easy for you.
Especially next fall 416 will be a requirement for all incoming math major freshmen,
so I think the course will be even easier.
We use Paul Halmos' Finite Dimensional Vector Space last semester,
and you probably want to check it out on Google book..
 
  • #5
I would definitely recommend taking the proof based linear algebra class if you have time. It is very important to be proficient at linear algebra, as it always pops up, and if you aren't comfortable with it, it will give you trouble on top of the material you're trying to apply it to. My smooth manifolds course (calculus on manifolds) used linear algebra heavily, and it really hurt most of us because we weren't comfortable doing abstract things with determinants, matrices, etc.
 
  • #6
Jin8- That is funny. Rick is my best friend!
n!kofeyn-so where should I fit it into my schedule? I mean what types of courses should it precede? I plan on taking a differential geometry course and a differentiable manifold's course in grad school. I guess I should take it before then. Would it hurt to take it my very last semester?
 
  • #7
You should take it as early as possible, since linear algebra really is basic mathematics that pops up everywhere, even 'early' courses like multivariable calculus/analysis use it heavily.
 
  • #8
jmnance said:
n!kofeyn-so where should I fit it into my schedule? I mean what types of courses should it precede? I plan on taking a differential geometry course and a differentiable manifold's course in grad school. I guess I should take it before then. Would it hurt to take it my very last semester?

The advice to take it as early as possible doesn't really apply to you since it is your last year (if I remember correctly from your other post) and the fact that you've already had an applied linear algebra course. Since you'll be taking analysis this fall and topology next spring, it won't be a problem if you take it during the spring if you can't fit it in during the fall. You definitely will benefit taking it before you graduate and before you take differential geometry and differentiable manifolds. The differentiable manifolds is the same course I mentioned above (smooth manifolds or calculus on manifolds) and relies on a lot of linear algebra. Being comfortable with linear maps, rank of matrices, determinants, general matrix stuff, etc. will help you tremendously in that course as well as the differential geometry course.

I actually took my undergraduate school's proof-based linear algebra course early on (two years before I graduated), and this ended up hurting me a little as I didn't fully appreciate the theory and had forgotten a lot of it by the time I got to courses that actively utilized it.
 
  • #9
again, another great comment. Thank you all who have commented. Looks like I'm going to take it my last semester as an undergrad (along with grad abstract algebra and undergrad complex analysis ugh..)
 
  • #10
jmnance said:
again, another great comment. Thank you all who have commented. Looks like I'm going to take it my last semester as an undergrad (along with grad abstract algebra and undergrad complex analysis ugh..)

Complex analysis is very cool. I think of it as some type of exotic math, because it really works so different than typical analysis. It is very fun, and the proofs are so much better. Say goodbye to boring and ugly epsilon-delta proofs.
 
  • #11
oh man you're preaching to the choir! I bought a copy of Visual Complex Analysis and can't put it down... sooooo cool!
 

What is abstract linear algebra and how does it differ from applied linear algebra?

Abstract linear algebra is the study of vector spaces and linear transformations, focusing on the underlying mathematical structures and properties. It is more theoretical and general in nature. Applied linear algebra, on the other hand, involves using these concepts to solve real-world problems and applications.

What topics are covered in abstract linear algebra?

Abstract linear algebra covers vector spaces, linear transformations, matrix operations, eigenvalues and eigenvectors, inner product spaces, and orthogonality. It also includes the study of abstract algebraic structures such as groups, rings, and fields.

What are some examples of applications of applied linear algebra?

Applied linear algebra has a wide range of applications in various fields, including physics, engineering, computer science, and economics. Some examples include image and signal processing, data compression, optimization, cryptography, and machine learning.

Do I need to know abstract linear algebra to understand applied linear algebra?

No, it is not necessary to have a deep understanding of abstract linear algebra to use applied linear algebra. However, having a strong foundation in abstract linear algebra can enhance your understanding and problem-solving skills in applied linear algebra.

Which one should I study first: abstract linear algebra or applied linear algebra?

It is recommended to study abstract linear algebra first, as it provides the theoretical background and concepts that are used in applied linear algebra. However, depending on your interests and goals, you may choose to study applied linear algebra first and then dive into abstract linear algebra later.

Similar threads

  • STEM Academic Advising
Replies
9
Views
2K
  • STEM Academic Advising
Replies
6
Views
4K
Replies
3
Views
1K
  • STEM Academic Advising
Replies
6
Views
2K
  • STEM Academic Advising
Replies
6
Views
1K
  • STEM Academic Advising
Replies
16
Views
495
Replies
13
Views
6K
  • STEM Academic Advising
Replies
4
Views
978
  • STEM Academic Advising
Replies
33
Views
5K
  • STEM Academic Advising
Replies
3
Views
1K
Back
Top