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#proofinatoot

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Replied in thread

@robinhouston it does! In a trigrid-generated tiling, each ruled line would correspond to a "zone" of rhombi (a chain connected along the same direction of edge). Here I've marked all the zones I can find in your picture, coloured by direction. We seek a homeomorphism of ℝ² that turns them into unit-separation sets of lines 120° apart. But no such arrangement can permit a blue line to cross 3 red ones in between crossing 2 green ones: along one line, crossing colours alternate. #ProofInAToot

Yesterday I was working through this simple proof of what is sometimes called Cauchy's theorem, that if a prime 𝑝 divides a group 𝐺's size, then 𝐺 has an element of order 𝑝.

The idea is to build a set 𝑆 of all 𝑝-tuples from elements of 𝐺 such that each element of 𝑆 multiplies out to 1, i.e.

𝑆:={(𝑔₁,𝑔₂,…,𝑔ₚ)|∏𝑔ᵢ=1}

and then count the number of elements of 𝑆 in the following way: gather together all elements of 𝑆 that are cyclically permuted, and notice that each such class contains exactly 1 or 𝑝 elements (and all cyclic permutations of an element of 𝑆 are also in 𝑆 because if 𝑎𝑏=1 then 𝑏𝑎=1).

The classes that contain a single element correspond to an element of order 𝑝 as desired, so to show that such a class exist, observe that there is at least one such class, namely the one of (1,1,…,1), and since =()ᵖ⁻¹ (every component of an element of 𝑆 is free except the last one due to the defining equation that the product equals 1), then 𝑝|.

Thus only way that S can be decomposed into many sets of either size 1 or 𝑝 is if there is more than one set of size 1, meaning, an element of order 𝑝 exists in 𝐺.

A weak ordering (en.wikipedia.org/wiki/Weak_ord) is just a linear order with ties. On n items, there are obviously at least n! of them (don't use ties); here's a simple combinatorial proof that there are at most (n+1)n1, also proving the inequality n!(n+1)n1. Tighter but messier upper bounds on weak orders are known.

In the complete graph Kn+1, choose one vertex as root. By Cayley's formula (en.wikipedia.org/wiki/Cayley%2), it has exactly (n+1)n1 spanning trees. Each spanning tree can be used to weak order the non-root vertices by their distance from the root. Each weak order on non-root vertices arises from a rooted spanning tree in this way by setting the parent of each non-root vertex to be any of its immediate predecessors, or the root if it has none.

Anyone happen to know whether this proof has been published anywhere? I know of a reference for the weaker bound (n+1)n but its proof is non-combinatorial and ugly.

en.wikipedia.orgWeak ordering - Wikipedia
Continued thread

Four kissing circles' centers spread
as sums of inverse bends;
squared distance into square array
now Cayley-Menger sends.[†]
The volume of their convex hull,
as Bradford[*] saw, must equal null,
And calculating matrix norms,
The simplified result then forms:
The sum of the squares of all four bends
Is half the square of their sum!

[†] en.wikipedia.org/wiki/Cayley%E

[*] Bradford, Alden (2023), "An even more straightforward proof of Descartes's circle theorem", The Mathematical Intelligencer, 45 (3): 263–265, doi.org/10.1007/s00283-022-102

en.wikipedia.orgCayley–Menger determinant - Wikipedia
Replied in thread

@domotorp Well, it's an induction proof at the level of an undergraduate exercise. I don't think that's quite easy enough to call it "trivial". Maybe it looks trivial to you because you have already internalized this concept to the point where you don't notice when you are using it?

Here is the proof I know. Maybe you can find a simpler argument that persuades me that it really is trivial.

Claim: For a monotone availability condition on a finite set of elements, each two sequences of elements chosen greedily according to the condition until no more elements are available have equal sets of elements.

Proof: Induction on the lengths of the suffixes of the sequences starting from where they first differ. Base case: if one sequence has an empty suffix, the other suffix must also be empty, because otherwise its next element would be available to the first sequence. Inductive case: the next symbol in the first sequence is also available in the second sequence so it must appear somewhere. Reorder the second sequence by pulling this element forward to the same position it has in the first sequence. The reordered sequence has the same elements as the second sequence and is still valid by monotonicity of the availability condition for the other elements. By the induction hypothesis, it also has the same elements as the first sequence.

I'm curious, has anyone seen this one before:

Lemma: Suppose that three given points in Rd are disjoint from an open convex set U. Then two of the points can be connected by a curve disjoint from U of length at most twice their Euclidean distance.

For instance, in the plane, two nearby points can be separated by a thickened line or line segment, so they have no short connecting curve, but three points cannot all be made far from each other by a single convex obstacle.

Proof: Consider the plane containing the three points; if U does not intersect this plane then the points can be connected directly. Within this plane draw a line through each point, disjoint from U. If the three lines form a triangle or unbounded three-sided region containing U, with the three points on its sides, then one of its internal angles is at least 60, and the curve connecting two points through this angle has length at most twice the distance between the points (worst case: U is an equilateral triangle and the three points are its edge midpoints). If one of the three points is not on a side of the region containing U, it can see the entire line through another of the points, and be connected directly to that point.

Let εAJ,εJK,εAK be pairwise timelike events in a flat region, and event εAP timelike and straight wrt. εAJ,εAK and lightlike wrt. εJK. Consequently, these four events are plane wrt. each other:
0=|0111110s2[εAJ,εAP]s2[εAJ,εAK]s2[εAJ,εJK]1s2[εAJ,εAP]0(s2[εAJ,εAK]s2[εAJ,εAP])201s2[εAJ,εAK](s2[εAJ,εAK]s2[εAJ,εAP])20s2[εJK,εAK]1s2[εAJ,εJK]0s2[εJK,εAK]0|.
Thus:s2[εAJ,εJK]s2[εAJ,εAK]=1s2[εAJ,εAP]s2[εAJ,εAK]+s2[εJK,εAK]s2[εAJ,εAK](1s2[εAJ,εAK]s2[εAJ,εAP]).

Now adding the following inequality:
2s2[εJK,εAK]s2[εAJ,εAK]s2[εJK,εAK]s2[εAJ,εAK]s2[εAJ,εAK]s2[εAJ,εAJ]+s2[εAJ,εAP]s2[εAJ,εAK]

and collecting yields:
s2[εAJ,εJK]s2[εAJ,εAK]+2s2[εJK,εAK]s2[εAJ,εAK]1+s2[εJK,εAK]s2[εAJ,εAK],

Therefore
s2[εAJ,εJK]s2[εAJ,εAK]+s2[εJK,εAK]s2[εAJ,εAK]1,

a.k.a. reverse triangle inequality of (timelike) Lorentzian distances, en.wikipedia.org/wiki/Triangle

en.wikipedia.orgTriangle inequality - Wikipedia
Replied in thread

@mattp $$ \begin{align} S_k & := \sum_{n=1}^k \frac{n^3}{2^n} \\ & = 26 -\frac{k^3 + 6k^2 + 18k+26}{2^k} \end{align} $$ which can be seen via induction from $$S_{k+1} - S_k = \frac{(k+1)^3}{2^{k+1}},$$ then $$\lim_{k\to\infty} S_k= 26.$$