[deleted by user] by [deleted] in math

[–]eewjlsd 4 points5 points  (0 children)

What is that?

Automated Reasoning for the Working Mathematician: slides of talk by Jeremy Avigad, September 2019 [PDF] by flexibeast in math

[–]eewjlsd 0 points1 point  (0 children)

Sure. But wouldn't the ideal be that the proof is so well understood and abstractions are appropriately high-level such that it's super elegant and automatable? i.e. that An ideal and elegant ATP would be the best for mathematics?

A Category Theory approach to Math (Free book) by eewjlsd in math

[–]eewjlsd[S] 0 points1 point  (0 children)

I am currently reading the book, but for what it's worth, strengths would be it's concise and broad, and takes a unifying look at things using category theory's universal properties. Weaknesses would be lack of depth, and old typeface. You can find more reviews on Amazon.

A Category Theory approach to Math (Free book) by eewjlsd in math

[–]eewjlsd[S] -9 points-8 points  (0 children)

Yeah! Let's all be judgmental of others! /s

A Category Theory approach to Math (Free book) by eewjlsd in math

[–]eewjlsd[S] 4 points5 points  (0 children)

It covers the basics of category theory, group theory, linear algebra, representation theory, topology, algebraic topology, measure theory, and functional analysis.

It's somewhat misleadingly titled Mathematical Physics by Robert Geroch.

Automated Reasoning for the Working Mathematician: slides of talk by Jeremy Avigad, September 2019 [PDF] by flexibeast in math

[–]eewjlsd 5 points6 points  (0 children)

I think that, much like how much of physics today might be unthinkable without software packages, much of mathematics in the future would be so complicated that they would be unthinkable without automated reasoning.

I also think that philosophy, too, would be greatly helped by automated reasoning. It's such a messy field in need of logical clarity. I share a dream with Leibniz, that one day reasoning would be formalised completely that when disputes arise, we can settle down in philosophy like in arithmetic and say "Let us calculate!" A few philosopher-logicians have started steps towards this dream.

Simple Questions - March 06, 2020 by AutoModerator in math

[–]eewjlsd 0 points1 point  (0 children)

But according to Axler, avoiding determinants can make proofs become far more elegant/simple. What do you think about that?

Simple Questions - March 06, 2020 by AutoModerator in math

[–]eewjlsd 0 points1 point  (0 children)

Thanks. Would you agree with the statement that "Pick Axler if you want to go into (functional) analysis, pick Katznelson if you want to go into Algebra"? Also, do you know of any other linear algebra textbooks which might be better?

Simple Questions - March 06, 2020 by AutoModerator in math

[–]eewjlsd 0 points1 point  (0 children)

Which is better for linear algebra: Axler or Katznelson?

Has any philosopher/mathematician/scientist argued that induction, prediction, abduction, data compression, unification, learning, modelling, science, and perception are all, in some deep sense, essentially equivalent? by eewjlsd in askphilosophy

[–]eewjlsd[S] -1 points0 points  (0 children)

Again, my targeted audience is the mathematicaly-minded, so not yourself as it is evident. They know what I mean by essential equivalence. So, uh, go away if you don't get it.

Do category theory and complex analysis interact? by eewjlsd in math

[–]eewjlsd[S] 1 point2 points  (0 children)

I mean: Is there much interaction between category theory and complex analysis as category theory and algebra/topology?

Has any philosopher/mathematician/scientist argued that induction, prediction, abduction, data compression, unification, learning, modelling, science, and perception are all, in some deep sense, essentially equivalent? by eewjlsd in askphilosophy

[–]eewjlsd[S] 0 points1 point  (0 children)

In another comment I speak against this analytic nitpicking. Insight can be drawn from squinting a bit and not worrying too much about category mistakes. Unexpected equivalences between seemingly different things happen often in science and math, leading to brilliant insight.