Is Measure Theory Essential for Applied Math Graduate Studies?

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Measure theory is considered important in applied mathematics, particularly for areas such as stochastic calculus and financial mathematics. It provides essential tools for dealing with random variables and understanding the complexities of measures that differ from traditional Riemann integrals. Additionally, measure theory is relevant in scientific mathematics that involves stochastic processes, as it complements the analysis of partial differential equations (PDEs). Although not a requirement for the graduate program in applied math, taking a course in measure theory could enhance understanding and application in these fields.
glyvin
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I am starting graduate school in applied math in the fall and am trying to decide if measure theory is necessary or important in terms of applied math and if so, what ares of applied math? I have taken two basic real analysis courses through multiple integrals, etc. and would like to focus on PDE's at this point, although I'm quite open to all areas of applied math at this point. The program I'll be in does not require a class on measure theory, but I do have the option to take one if I'd like.

Thank you for your time.
 
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Hey glyvin and welcome to the forums.

For stochastic calculus (or analysis), measure theory is important because we deal with measures that deal with random variables and because of the non-constant nature of the measure (unlike what you would find in a Riemann integral).

Financial mathematics as well as some scientific mathematics based on stochastic processes make use of both measure theory and PDE theory to analyze problems for these fields.
 
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