Recently, at a family gathering, I was confronted by the question many a college graduate is faced after telling someone I had majored in mathematics for my now-finished college degree: “But how are you going to make any money at that?”
Now, certainly it’s true: Graduate students don’t make that much. The average stipend for a grad student is roughly on par with (but still less than) unemployment checks. But that’s okay–in general, mathematicians know that they could make money other places, but they chose it anyways because of their love for the subject. Not that mathematicians make too bad of money anyway: The average in the US is about 50K, with associate professors making more than that. The particularly salary-inclined could pick up other credentials to become actuaries or work in hedge funds.
So perhaps some more interesting, offensive, and pointed questions are ‘What could you possibly do with mathematics?’ or ‘How could mathematics possibly affect my life?’ These, however, are even easier to dispatch. I’ll stick to improvements made in the last century or so. And also keep in mind: All mathematicians do is make definitions and assumptions and logically follow those to their conclusions.
Many modern business and agricultural decisions involve tradeoffs between different capabilities/capacities and their respective payoffs. When these problems can be formulated in a certain format, they can be definitively answered by the mathematical technique of linear programming. Even when they can’t, nonlinear/convex/integer optimization frequently offers some insight to the problem solution. But in the linear case, Dantzig’s Simplex Algorithm offers insights to many business-related problems.
Nearly everyone these days enjoys technological breakthroughs that rest on mathematics, usually by way of physics. Quantum mechanics has given us transistors(and in turn the computer revolution of the 70s), lasers, MRI machines, cell phones, and myriad other things we take for granted in our everyday lives. None of this would be possible without a mathematical basis on which to make quantitative predictions, and many mathematical tools needed for this sort of thing were invented before the physical problems were posed.
An even more specific example (and personal favorite topic of mine!) of the former is the algorithmic development of the Fast Fourier Transform. This algorithm(a set of instructions) gives us an easy way to express signals in terms of either how they change in time or what frequencies make up the signal. These techniques make it possible to select certain signals out from background noise(filtering–ubiquitous in electronics), but also arise in X-ray diffraction and medical advances like (again) MRI. It’s even the critical device that enables music CDs, television, and radios to function without relying on heavy, inefficient, and breakage-prone vacuum tubes. Finally, the more general topic of Fourier analysis provides insights in other topics like statistics, enabling us to talk about most populations in terms of their aggregates.
Finally, to say a few words about the computer revolution: Almost everything here is mathematical. Data packets are sent over the Internet by routing protocols that rely on mathematical algorithms and proofs. UPS uses the same algorithms to route their trucks each day. Search giant Google relies on a mathematical foundation of eigenvalues, a linear algebra topic. Amazon uses clever applications of algorithms to provide you with books you might enjoy. Anyone who uses a bank(even brick and mortar!) relies on mathematical advances from the field of number theory to guarantee that attackers couldn’t divert their funds. Fluid dynamics predicts how airplanes will fly according to physical laws and without building the planes.
Fine, you say. We’ve got all that figured out, and we’ve got mathematicians to thank. But all that stuff sounds a lot like physics or applied mathematics, so are those guys in pure mathematics wasting their time? And also, what else could there be to think about?
First, advances in a great many applied topics were preceded by an amazing amount of mathematics that was done without the intention to be used. The number theory advances mentioned above is the prototypical example of this. What used to be an esoteric topic is now the basis for encryption, error correction, among other uses. Would we even have secure Internet communication if we hadn’t had centuries of number theorists thinking about prime numbers and factorization? This is unknowable, but I’d place my bets towards the negative. There are many, many more examples of this sort of thing.
But where is this all heading? I can’t speak too far out of my experience here, but mathematical advances are driving real-world advances in everything else, from communication to medicine. One particularly interesting example of the latter is a project called ‘Virtual Physiological Human,’ which aims to create a computer model of humans so exacting that it can be used for drug testing and even tailor specific treatments to one particular patient.
To tie all this up: Even if you don’t understand mathematics or even why anyone might enjoy it, do yourself(and society) a favor and don’t discourage them. You certainly stand to benefit from their devotion to their field.