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This tag is used if a reference is needed in a paper or textbook on a specific result.

0 votes

Theory of cones

In some sense this is (part of) the theory of linear programming. If you want a reference for that, check out Bertsimas and Tsitsiklis' Introduction to Linear Optimization.
14 votes

A Learning Roadmap request: From high-school to mid-undergraduate studies

There are lots of good answers here, so I'm not going to add any additional book recommendations. I just want to warn you of one misconception I had when I was in your position. It is best illustrat …
33 votes
4 answers
3k views

Emergence of English as the dominant mathematical language

My impression is that most math papers (and almost all of the most important ones) are now published in English. Not long ago (historically) publishing in French, German, Russian, etc. were more comm …
Noah Stein's user avatar
  • 8,501
5 votes

Finding joint probability from double marginals

No, the condition on the marginals is not sufficient. Consider for example three 0-1 valued random variables with bivariate marginals $p_i(s,t) = 0.5(1-\delta(s,t))$ for all $i, s, t$. The necessary …
Noah Stein's user avatar
  • 8,501
5 votes

Reference request: an elementary proof of Brouwer fixed-point theorem.

Could one of these two be what you're looking for? J. Milnor, Analytic proofs of the “hairy ball theorem” and the Brouwer fixed-point theorem, Amer. Math. Monthly 85 (1978), no. 7, 521–524. MR MR505 …
Noah Stein's user avatar
  • 8,501
6 votes
1 answer
240 views

De Finetti-style theorem for Point Processes

I am new to point processes. I know there are a number of theorems along the lines that if a point process $\eta$ satisfies: Complete independence (the random variables $\eta(B_1), \ldots, \eta(B_n …
Noah Stein's user avatar
  • 8,501
10 votes
2 answers
581 views

"Fractional sampling" from a probability distribution

My question concerns an operation on probability distributions which has arisen in some applied research. It is well-defined mathematically (at least in a limited context), but I don't know how to in …
Noah Stein's user avatar
  • 8,501
8 votes

Is there research on Machine Learning techniques to discover conjectures (theorems) in a wid...

One example that is close to, if not exactly of this type, is Veit Elser's demonstration that machine learning techniques can learn how to do fast matrix multiplication from examples of matrix product …
Noah Stein's user avatar
  • 8,501
7 votes

Symmetries of probability distributions

Maps such as $\eta$ and $\xi$ are called measure-preserving and are studied in ergodic theory. In particular ergodic theory views these as dynamical systems, because the maps can be iterated. One th …
Noah Stein's user avatar
  • 8,501
5 votes

Why are two "random" vectors in $\mathbb R^n$ approximately orthogonal for large $n$?

One way to come at this is to try to stretch your intuition even farther, toward the Johnson-Lindenstrauss lemma, which says that while we can only fit $n$ orthogonal vectors into $\mathbb{R}^n$, we c …
Noah Stein's user avatar
  • 8,501
1 vote

Good differential equations text for undergraduates who want to become pure mathematicians

This isn't a direct answer to your question (I don't have a good book recommendation because that's not my field), but if there is a higher level course on differential equations or dynamics of some s …
28 votes

Computer science for mathematicians

For the second question (theoretical computer science) I strongly recommend Sipser's Introduction to the Theory of Computation. It is a very easy read for someone with a math background, and requires …
8 votes

The concept of duality

I enjoyed a series of talks by Bernd Sturmfels on some such interrelationships, which it looks like are written up in a paper by Rostalski and Sturmfels called "Dualities in Convex Algebraic Geometry. …