David Spivak's talk "Categories = polynomial comonads", a simple demonstration. This is great. It should give Norman Wildberger a whole lot of new ideas for stuff he can do with polynumbers! It was given in September 2020.
58:28 The maximum diversity always exists. ... The fact that probabilities have to be non-negative is what makes maximum diversity different from magnitude. There is a sense in which, if you allowed negative probabilities then they would be equal.
Yesterday I watched Jorge Diaz's video on the Principle of Least Action and I had some vague thoughts about this:
I looked for a video on the Legendre transformation in your channel but didn't find it! 😅 It would be interesting as background to the Lagrange formulation because Legendre was considering a conservative stationarity problem too and surely Lagrange knew this. That might also give an insight into the intuition behind it.
My physical intuition for the principle of stationary action is that one has to remember it is a functional, in the sense that its argument is a function, from time to some mysterious quantity called the action, which one can think of as the "non-spontaneous deviation" of the trajectory from that conservative path determined by the boundary. conditions. In other words, the action is the "wilful" straying of the system from its true path which should be the one where the loss[/gain] of kinetic energy at any moment in time is balanced by a gain[/loss] in potential energy at that same moment. This wilfulness of the system must be zero over the whole path, so the least action gives the "stationary" path. But there are two ways the conservative system could spontaneously evolve: one is by losing potential energy and gaining the same amount of kinetic energy, or by gaining potential energy and losing the same amount of kinetic energy. So the action must contain terms of both of these, and it must apply equally in the time-reversal of the path, so the kinetic and potential terms have to have opposite signs, but I don't think it matters which is which: you could write L = U - K and it would work just as well.
Thinking about it now, I wonder whether maybe Lagrange had an idea of using the same formalism to to model non-conservative systems by accumulating something like "action potential" during the course of their evolution. It's significant because the mathematician Routh developed a formalism called the Routhian which was a combination of those of Hamilton and Lagrange and I think it includes a third term through which energy could be exchanged between them or absorbed. [See Routhian mechanics,]
It's certainly the case when you think about how we measure time: we need networks of synchronised clocks, so we need to be able to communicate between locations where we make measurements. This idea has a mathematical expression in topos theory. There was a very interesting Topos Institute talk by Tom Leinster a few days ago which is on YouTube, entitled "The many faces of magnitude". It's very abstract to start with but ends up talking about entropy and temperature in a very direct and applicable way. There is a kind of duality that shows up in the Legendre-Fenchel transform which is captured in the abstract idea of a topos. That duality shows up in physics as an inevitable invariant of descriptions in terms of conjugate variables like position/momentum and temperature/entropy. Time itself may be a magnitude in this general sense. That's what it was for Aristotle, I think.
[Actually, Leinster doesn't mention temperature but McCulloch doesn't mention entropy. I mentioned that they're conjugate quantities under the Legendre-Fenchel transform.]
David Spivak did a talk in 2022 about Polynomial Functors and Shannon entropy:
The first thing I read about Category theory was Jacobs and Rutten's Introduction to (co)algebra and (co)induction and I was struck by the "failure of duality" in the way (co)algebra was described. I don't remember what it was, but there was some notion I had that a recursive datatype was a polynomial in the arity of the constructors and that from this one ought to be able to unfold something that maintains the duality. See Emily Riehl and Terrence Tau on The Future of Mathematics on spontaneity in physics and biology.
Urs Schreiber on topos theory in physics. You don't have to use Category theory to study topos theory: see the lectures of Frederic Schuller for an example of how the results can be expressed in ordinary language of manifolds, groups and maps.
I mean, how to get the best of the two different philosophies of computation. One is based on typed programming languages and the other on engineering with diagrams . This is about practical computing and the cost and feasibility of software development in general. Here is the problem: We have a lot of algorithms which can all be described abstractly using some sort of pseudocode, or perhaps using some particular language (usually Python!). These algorithms are often well-studied and a lot is known about them in terms of their computational complexity in time and space. Substantive practical software systems invariably employ many such algorithms, often implemented in libraries with more or less well-specified APIs. But very few of these libraries are capable of interoperating because they are either packages written in some specific programming language like Java or Haskell, say, or they are written in C and used as object code, or they are written in an interpreted language like Sc...
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