Dr Transport said:
That should shed some light on what math is required for an undergrad physics degree.
That's quite reasonable.
Interestingly here in Aus, as I said before, double degrees in applied math and physics or math and engineering for that matter are very popular. They even have a separate strand for it (they have a number of different strands as well eg - stats and decision science). The advanced subjects that must be done for that strand look a lot like physics subjects - they are (from the student handbook of where I attended):
Applied Transport Theory
Applied Transport Theory is the study of the exchange of mass, momentum and energy in physical systems. An understanding of the equations that govern these transport phenomena is fundamental to understanding how the physical world behaves. This unit builds upon knowledge you will have developed in studies of advanced calculus. You will learn how to derive equations from fundamental conservation laws and develop an understanding of the commonality between the equations. Furthermore, in deriving analytical solution techniques for these equations you will develop further skills in calculus and differential equations. Completion of this unit will prepare you for the final semester capstone project.
Partial Differential Equations
Previously you have discovered the power of differential equations for modelling real world processes. In this unit you will extend your capabilities to problems that simultaneously exhibit both spatial and temporal variation. Such problems can be described by partial differential equations. You will learn a variety of analytical solution techniques for these equations, which bring together many of the skills you have learned in earlier study of advanced calculus and ordinary differential equations. You will also learn the techniques of Fourier and complex analysis, which have applications far beyond the realm of differential equations.
Dynamical Systems
Dynamical Systems” is a descriptive term used to represent the analysis of time varying systems. Such systems exhibit a variety of behaviours including exponential approaches to equilibrium states, periodic or oscillatory solutions, or unpredictable chaotic responses to simple inputs. The study of dynamical systems employs topological and function space concepts to provide the analytic structure to systems of nonlinear (and linear) ordinary differential equations, and as such forms the basis for the mathematical interpretation and understanding of numerous real world systems. This unit is an exploration of the more technical aspects of the theory of solutions to systems of ordinary differential equations and as such builds on your prior understanding of such equations while providing the support for the exploration of an exciting area of modern mathematics.
Computational Fluid Dynamics
This capstone unit provides students with the opportunity to apply their knowledge and skills in applied and computational mathematics to simulate complex real-world problems. Students will be presented with several real-world case studies, which will involve model formulation, examining the impact of varying model parameters, and formulating and presenting recommendations for the best course of action to take based on model predictions. Your previous learning in deriving and solving partial differential equations that describe transport phenomena will be extended to include numerical methods of solution. Combined with the computational expertise you have acquired over your degree, you will be able to formulate and solve these complex mathematical models using MATLAB.
Thanks
Bill