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Mathematics is modern ontology. We’re not great at predicting which parts of ontology are eventually useful in other fields — mostly physics and other hard sci
by miscPerson 7y ago
Mathematics is modern ontology.
We’re not great at predicting which parts of ontology are eventually useful in other fields — mostly physics and other hard science, but more recently computer science, economics + finance, and even things like sociology and linguistics.
So we let the people who self-select to be ontologists guide what the field researches — and this has generally been fairly effective. Certainly more effective than if we’d only looked at things which had immediate, obvious use. Complex numbers, widely used in science and engineering, were once regarded as suspect abstract nonsense. That’s why they’re called “imaginary numbers”: it was a pejorative name that stuck.
We have cryptography, computers, modern physics, and modern finance to show for our efforts, among other things.
It simply takes time (like, decades to centuries) for new ontological ideas to propagate to other fields. We’re hoping that formalizing into HoTT and other computer friendly systems will allow us to align with software development, and speed the process up.
That seems to be going well, and at an accelerating pace.
The hope is that HoTT and category theory give us a framework to do exactly what you propose — more easily specify and interlink knowledge.
Expect results around 2050.
It took around 40-60 years for category theory to have a big impact — but now it is in fields as far away from mathematics as linguistics. Hopefully HoTT will get there a little faster, but it’s still going to take decades to go from niche research to widely used in mathematics to widely used across disciplines.
So, to summarize:
1. Because we’re bad at predicting the future and abstract math has often turned out to be useful later.
2. Mathematics is trying to do exactly what you propose with knowledge, via exactly the programs this blog is talking about.
- yters 7y agoI disagree that all knowledge, or even the most important items of knoknowledge, are reducible to mathematics.
- miscPerson 7y agoCould you explain why you disagree? I’d also accept an example of knowledge you don’t believe is expressible in mathematics.
- kragen 7y agoWhile this is factually true, as a normative statement it represents an inversion of priorities, like attending school so that you can have a summer vacation, admiring Michelangelo's art because of how much reputation the Medicis gained by patronizing it, or hoping your mother will get a better job so that she can buy you more candy. It trivializes mathematics. It's true that we only have cryptography, computers, physics, and finance — and not only the modern kind — because of the human study of mathematics. But cryptography and finance are of distinctly tertiary importance, computers and physics of secondary importance, and mathematics of primary importance. So it is nonsense to say that mathematics is important because it helps us understand physics. Mathematics is important because it transcends physics; the same mathematical theories would be consistent in a universe with totally different physics. Their beauty does not depend on whether or not they happen to describe the physics in a particular universe or not. The Pythagorean Theorem was discovered by the humans in Mesopotamia somewhere between 3500 and 5000 years ago; nobody knows who discovered it. (Pythagoras wouldn't be born for centuries.) It was used to design buildings, but the buildings have been worn to dust. It was used then to divide up farmland, but the farmers are dead, their bones have worn away to dust in the sand, their names are mostly forgotten, and their farmland turned to desert. But the knowledge of the theorem, and the place-value number system the Babylonians invented, has endured, and the humans still divide the circle into 360 degrees, each degree into 60 minutes, and each minute into 60 seconds, a tradition inherited from the Babylonians. Moreover, the stars and planets have moved in a way described by the Pythagorean Theorem since there have been planets and stars, for almost 14 billion of the time unit that would eventually be a "year" on Earth. And, most likely, they will continue to do so for as long as there are planets and stars; and as long as there are humans, they will know the Pythagorean Theorem, even if the name of Babylon is forgotten. Today the humans consider cryptography important because it governs the rise and fall of nations and empires; they consider finance important because it governs the rise and fall of firms, and decides which humans are powerful and which humans are poor and starving. But, it is nearly certain that all of those powerful humans will be dead in a century and a half, and all of those nations and empires will be gone in a millennium. But, if libraries survive, so too will the knowledge of group theory, and of linear algebra, and of computability theory. From the point of view of anyone in 5000 CE or 10000 CE, it will seem absurdly short-sighted that someone in 2020 CE thought that the important thing about elliptic curves was that cryptography based on them permitted long-forgotten nations like Russia to achieve informatic independence from the long-forgotten United Nations of America, because they were not yet to discover the Elliptic Curve Discrete Log Algorithm for 440 more years, and didn't have large quantum computers yet. I say that physics and computers are less insignificant than cryptography and finance because knowledge of physics does progressively improve, and is objective, like that of mathematics; and computers both serve to advance knowledge of mathematics, and are themselves imperfect realizations of abstract mathematical objects, what is often called automata theory. But certainly questions like how to get CUDA to run properly with a particular model of Tesla card, or which versions of Blink support Webfonts, are of no importance at all from the standpoint of 5000 CE or 10000 CE — but the Halting Problem will still be uncomputable, long after Turing's name is forgotten. Physics theories, though, are historically contingent and provisional in a way that mathematical theories are not. The quantum theory of probability is, as Aaronson's book explains, an internally self-consistent extension of probability theory to the complex plane entirely apart from its use to describe the behavior of light, electrons and so on. Theorems can be proven within its axiomatic system, and those theorems will continue to hold even when the humans learn how it fails to describe the contingent reality of this universe. So, again, mathematics is eternal, at least until the libraries are burned, and exact; physics is a provisional approximation, until a better approximation is found. (For a much more cynical perspective on the humans, see https://news.ycombinator.com/item?id=22393163. https://news.ycombinator.com/item?id=22393163.)
- lonelappde 7y agoIt's quite ironic. Imaginary numbers are quite real, but real numbers are quite imaginary.