Daniel Duffy
C++ author, trainer
- Joined
- 10/4/07
- Messages
- 10,437
- Points
- 648
Not necessarily, as noted by bigbadwolf.There is no need to find a direct application of your dissertarion. The skills you learn are way more important and useful.
Not necessarily, as noted by bigbadwolf.There is no need to find a direct application of your dissertarion. The skills you learn are way more important and useful.
The 'place' (aka branding...) is not all that important. Supervisor is more important.
A PhD in maths means you are good in a very very narrow area that 3 people (including you, excluding supervisor) know. No a-priori conclusions can be drawn about other aptitudes.
e.g. pure maths meets industrial computer programming.
In some cases it can actually be an impediment as the habits of thought you've acquired (and which are now part of your nature) are very different to those you need in the other area. The habits of thought you acquire in class field theory or automorphic forms are not going to help you in any real-world occupation. What you've become is over-trained and over-specialised in one very narrow area that society is not willing to pay for.
To OP do what you like. In the UK the applied math departments are mostly for mathematical physics. Statistics is in the pure math departments. James Simons has a Math PhD, I think he did pretty well.
Einstein has a PhD in physics, he did pretty well, hence a PhD in physics is good training for life.
Thank you.I love that you say excluding supervisor, because it is so true!
Indeed.Is it PhD in Math = PhD Pure Math? NYU has no Applied Math PhD, only Math PhD.
Numerical Analys is both pure and applied, can be. Same holds for PDE.Number theory, algebra, functional analysis, etc would be pure in my eyes. Linear algebra, numerical analysis, differential equations, statistics, computational mathematics, optimization would be applied.
The way I think of it is if the subject matter is directly applicable to solving real world problems, then it is applied math. If the subject matter develops the robust theoretical background for use in another another subject area, then it is theoretical.
For example, separation theorems in functional analysis are used to develop the theorems used in optimization which can be applied directly to solve problems. It's been a while, but if I recall correctly, Farkas' lemma (or perhaps the Motzkin transposition theorem) is proven using a separation theorem (or perhaps a corollary) and is used in proving the Fritz-John, and hence KKT, conditions.
That's my opinion anyway.
What do you mean it doesn't have an applied math phd? As in it doesn't have a PhD program literally titled "Applied Math"...
"The Graduate Department of Mathematics at the Courant Institute offers balanced training in mathematics and its applications in the broadest sense. The Department occupies a leading position in pure and applied mathematics, especially in ordinary and partial differential equations, probability theory and stochastic processes, differential geometry, numerical analysis and scientific computation, mathematical physics, material science, fluid dynamics, math biology, Atmosphere and Ocean science, and Computational Biology. "
You should read