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#1 (permalink) |
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Eager!
![]() Join Date: Jan 2008
Posts: 45
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Math help: PDE or Complex Variables?
Do you guys/girls know which is probably going to be the most useful - partial differential equations or basic complex variables?
Sorry for yet *another* math question...any help would be appreciated! Thx ![]() |
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#3 (permalink) |
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Loving the game
![]() ![]() ![]() ![]() Join Date: Jul 2007
Location: Cambridge, UK
Posts: 1,017
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A typical Complex Variable course will include topics like Path Integrals, Fourier Transforms, Bessel functions.....None of this will come in handy in the 1st 2 year of your PhD. However, you might be learning/ doing some proofs: Cauchy's Integral theorem....
On the other hand, PDE's are essentially linked to optimization. Hence, go for the PDE course.
_ _ _ _ SIG _ _ _ _
The Pens have been lifted and the Pages have dried. - recorded by At Tirmidhee. |
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#9 (permalink) |
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Eager!
![]() Join Date: Mar 2008
Posts: 30
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I wonder about this too. I want more specifics. If all you need is to know just some manipulation of complex functions like say sine or exponential then that does not justify taking a potentially very difficult math course. For that, just read the first two chapters of a complex analysis text. On the other hand, if working in time series requires understanding of something like Cauchy's Theorem, then perhaps taking this course could be justified. (I somehow doubt though). You certainly don't need complex analysis to _take_ a time series course and do time series analysis of your data. Regarding PDEs, this course is probably nice to have for general math/calculus knowledge, but still not required even for asset pricing people. My understanding is that you need to solve PDEs in order to do things like pricing the actual derivative securities, e.g. a very practical applied math question. (BUT WHY would economists POSSIBLY want to do something like that? :-) |
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