Which undergrad maths units for post-grad theoretical particle physics

Click For Summary

Discussion Overview

The discussion revolves around the selection of undergraduate mathematics units that would best prepare a student for postgraduate studies in theoretical particle physics and particle cosmology. Participants explore the balance between physics and mathematics courses, considering both theoretical and applied aspects.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant expresses a desire to choose units that will prepare them for honours and postgraduate studies, listing various physics and mathematics options available.
  • Another participant suggests that if partial differential equations (PDEs) are an option, the physics courses may not be overly challenging, recommending the selection of PDEs while also considering the usefulness of MATLAB.
  • A different participant emphasizes the importance of complex analysis for those intending to use quantum field theory, suggesting that the choice of courses should align with the student's focus area, such as cosmology or mathematical physics.
  • One contributor advocates for a programming course alongside complex analysis, noting that many other topics may be repetitive and thus easier to learn through experience.
  • The original poster reflects on the potential choices, considering complex analysis, PDEs, and ordinary differential equations (ODEs) as generally beneficial, while questioning the feasibility of learning programming independently before the honours year.
  • Another participant shares their experience, indicating that self-teaching programming may be challenging without formal instruction, which can provide structure and best practices.

Areas of Agreement / Disagreement

Participants generally agree on the importance of complex analysis and PDEs for theoretical physics, but there is no consensus on the balance between physics and mathematics courses or the necessity of programming skills. The discussion remains unresolved regarding the best approach to course selection.

Contextual Notes

Participants express varying levels of confidence in their ability to learn programming independently, and there are differing opinions on the necessity of certain mathematics courses based on individual focus areas in theoretical physics.

Ferrel81
Messages
3
Reaction score
0
I'm about to begin my third year of a physics major and I want to do units that will best prepare me for honours and post-grad studies in theoretical particle physics and/or particle cosmology.

My core physics units will cover quantum mechanics, classical mechanics, electrodynamics, special relativity, statistical physics, nuclear physics, elementary particles and computational physics.

In addition to these units, in first semester I can choose any two of the following units:
- photon physics (part of an experimental physics major, covering optics, photonics and synchrotron physics)
- relativity and cosmology (general relativity, cosmology and black holes)
- partial differential equations
- computational mathematics (intro to numerical computing, using MATLAB)
- real analysis
- analysis and topology (focusing on Banach spaces, this unit would require that I also do real analysis)

In second semester I can choose any two of the following units:
- condensed matter physics (an experimental physics unit)
- ordinary differential equations (which also develops skills using MATLAB)
- complex analysis
- differential geometry

I've done a bit on ODE's and PDE's last year, and some linear algebra, but I have no experience with MATLAB or any other programming/computational software.

Basically, from the above units my main quandary is:- Should I focus on just doing more physics units, even if they focus on areas of physics outside my main interest? Or, should I focus on pure maths units (like topology and differential geometry) that will relate to graduate theoretical physics studies? Or, should I focus on applied maths units (PDE's and ODE's) to get my computational skills up.

If anyone has some informed advice, it would be extremely appreciated.
 
Physics news on Phys.org
well, and I am not trying to sound rude, but if PDE's is an option, then your physics courses can't really be too difficult. however, i'd bet the university you attend plans to teach you PDE's through their physics courses so definitely take PDE's. otherwise i'd prolly stick to physics although MATLAB may be helpful in the future. differential geo is helpful too.

stay away from analysis if you are taking other tough courses (yes, analysis is beautiful, but oh so difficult). also, you don't really NEED it like you do PDE/ODE's.

hope this helps
 
For someone who will use quantum field theory, complex analysis is non-negotiable. Other than that, it really depends on where you want to focus. If you want to go into a more math phys or stringy direction, take more math. If you are serious about doing cosmology, obviously take the cosmology course.
 
A good programming course(either a language, or mathematica/matlab/maple) and Complex Analysis goes a long way. Everything else (wave mechanics/linear algebra) is going to be so repetitive, over and over in every class, that you'll pick it up anyway.
 
Thanks for your help guys.

It seems to me that complex analysis, pde's and ode's will all be pretty good choices, irrespective of what specific area of theoretical physics I end up going into. Whereas the relevance of other fields of math will depend on what I end up doing… Does this seem basically correct?

I get that programming is a vital skill, but I'm leaning towards the relativity/cosmology unit because, I feel that I can probably pick up MATLAB/programming in my spare time during the summer break before my honours year. Does this seem feasible? Or is it a little ambitious, given that at present I have zero knowledge?
 
In my experience it's tough to make yourself memorize all the correct syntax when just working programming examples from a book. A class will also stress consistency/good form and will teach you good design principles, things that are generally tough to teach yourself.
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
Replies
35
Views
6K
Replies
1
Views
2K
  • · Replies 13 ·
Replies
13
Views
3K
  • · Replies 21 ·
Replies
21
Views
5K
Replies
16
Views
5K
Replies
2
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K