Algebra or PDEs: Advice Needed for University Subject Choice

In summary, the conversation is about a student who is seeking advice on their subject choices for their second year of university. They are enrolled in a BSc degree with a major in physics and have a passion for plasma physics. They are considering taking a course in astrophysics, special relativity, and experimental physics, but are not sure if it will be beneficial as they have already taught themselves about relativity. They are also torn between taking a course in abstract algebra or partial differential equations, with the latter being more relevant to their work in plasma physics. The person giving advice suggests focusing on the four required courses and not trying to self-learn any additional subjects. They also recommend taking a graduate course in mathematical physics and possibly a course
  • #1
jdstokes
523
1
Hi all,

I'm facing a bit of a dilemma regarding subject choices for the second semester of second year univeristy and I was wondering if anyone could lend some of their advice. First a bit of context. I'm enrolled in a BSc (Advanced) degree at The University of Sydney, Australia with a real passion for physics so this will definitely be my major (followed by honours year and PhD in some aspect of plasma physics). Although I've already started to specialise with the research I'm doing for the plasma physics group, I have always found the most interesting part of physics to be the deep underlying theories (eg special and general relativity) and in particular, their connection with sophisticated mathematics. I should stress, however, that I'm no maths wiz: the only reason I liked linear algebra was that I saw connections with almost every concept and special relativity. Although I finding mathematics by itself devoid of meaning, I gain great satisfaction applying it to some physical problem (the more advanced and abstract the maths the better :). At heart, maybe I want to be a theoretician, but I appreciate the need for applications which is why I'm changing tack next year to work in industry on first-wall (blanket) materials for use in the ITER project.

So, as for my subject choices, each semester we are required to do 4 subjects worth 6 credit points each, totalling 24 credits per semester. The prerequisite for third year physics is a 6 credit course which focuses on quantum physics and electromagnetic properties of materials. I also want to do 6 credit points of French for both interest and for my future ITER aspirations. That leaves 12. I think it's a good idea to do the ``other'' physics course which is a course in astrophysics, special relativity and experimental physics, although quite honestly relativity is the only part of this course which interests me and I'm not even sure how much I'd learn which I haven't already taught myself from my copy of Taylor and Wheeler. Now, filling up that 6 credit hole with maths is the tricky part. There are two courses of interest, one is on abstract algebra and the other on partial differential equations. Here are the outlines

Algebra (Advanced)

This unit provides an introduction to modern abstract algebra, via linear algebra
and group theory. It starts with a revision of linear algebra concepts from
junior mathematics and MATH2961, and proceeds with a detailed investigation
of inner product spaces over the real and complex fields. Applications
here include least squares lines and curves of best fit, and approximation of
continuous functions by finite Fourier series. Further topics in linear algebra
covered in this unit include dual space, quotient spaces and (if time permits)
possibly tensor products. The second part of the unit is concerned with introductory
group theory, motivated by examples of matrix groups and permutation
groups. Topics include actions of groups on sets, including linear
actions on vector spaces. Subgroups, homomorphisms and quotient groups
are investigated, and the First Isomorphism Theorem is proved.

Introduction to Partial Differential Equations (Advanced)

This unit of study is essentially an advanced version of MATH2065, the emphasis
being on solutions of differential equations in applied mathematics.
The theory of ordinary differential equations is developed for second order
linear equations, including series solutions, special functions and Laplace transforms.
Some use is made of computer programs such as Mathematica. Methods
for PDEs (partial differential equations) and boundary-value problems
include separation of variables, Fourier series and Fourier transforms.

From the applied physics perspective the choice is obvious, since I've already run into the problem of solving partial differential equations in Poisson's equation in my work on plasma physics. On the other hand, I suspect that Algebra could be more beneficial in terms of understanding abstract theories like general relativity and so on.

Ideally, I would do both, but this would mean sacrificing the relativity subject which is probably not a good idea since it is ``strongly recommended for those majoring in physics''. The question is then, which of these subjects would be the easiest to self-learn? If I can answer this question then I guess the hardest subject would be the one to study at uni.

What do you think?

Thanks

James
 
Physics news on Phys.org
  • #2
I just realized that I posted to the complete wrong section. Apologies mods.
 
  • #3
Based on your own view of math, I would recommend the PDE course.
 
  • #4
The PDE course is the more important one for what you will probably be doing in physics. Actually the best course would be a grad course in
"mathematical physics". You should be ready for that level, and it would be more relevant to physics than a pure math course. Concentrate on your four courses and don't try to self learn either algbra or pde.
 
  • #5
Clearly you should take the PDE course.
And if it is possible a course introducing you in differential geometry, that will give you a good basis in your study of general relativity.

Dont do relativity in a too abstract way.
Do physics first.
If possible read Einstein text in general relativity, after having an introduction to Rieman geometry.

Remember think physics first.bye
 

1. What is the difference between algebra and PDEs?

Algebra is a branch of mathematics that deals with symbols and the rules for manipulating those symbols to solve equations. PDEs (Partial Differential Equations) are a type of equation that involves multiple variables and their partial derivatives. In simpler terms, algebra focuses on solving equations while PDEs involve solving equations with multiple variables.

2. Which subject would be more beneficial for a career in science?

Both algebra and PDEs are crucial for various fields in science, such as physics, engineering, and computer science. However, PDEs are more commonly used in advanced scientific research and modeling complex systems, making it a valuable subject for a career in science.

3. Do I need a strong background in math to study PDEs?

Yes, a strong foundation in calculus and linear algebra is necessary for understanding PDEs. It is recommended to have a good understanding of differential equations before delving into PDEs.

4. What are the real-world applications of algebra and PDEs?

Algebra has a wide range of applications in fields such as physics, engineering, economics, and computer science. PDEs are used in various areas of science and engineering, including fluid dynamics, electromagnetism, and quantum mechanics. They are also used in fields such as finance and economics for modeling and predicting complex systems.

5. How can I prepare for studying algebra or PDEs at the university level?

To prepare for studying algebra or PDEs at the university level, it is essential to have a strong understanding of basic mathematical concepts and techniques. Reviewing algebra and calculus material from high school can also be helpful. Additionally, practicing problem-solving and critical thinking skills will help in understanding and applying these subjects at a higher level.

Similar threads

  • STEM Academic Advising
Replies
11
Views
635
Replies
2
Views
468
Replies
5
Views
598
  • STEM Academic Advising
Replies
6
Views
154
  • Science and Math Textbooks
Replies
5
Views
2K
  • STEM Academic Advising
Replies
15
Views
1K
Replies
8
Views
457
  • Beyond the Standard Models
Replies
3
Views
1K
Replies
1
Views
44
  • Science and Math Textbooks
Replies
2
Views
973
Back
Top