Video summary
017 Some simple open problems in Mathematics by Joseph Oesterle
Main summary
Key takeaways
Scientific concepts / nature phenomena / mathematical discoveries mentioned
1) Set theory (Frankl’s Union-Closed Sets conjecture)
Setup
- Consider a finite family ( \mathcal{F} ) of finite sets.
- The family is nontrivial (at least one set is nonempty).
- Union-closed: if (A,B \in \mathcal{F}), then (A \cup B \in \mathcal{F}).
Open problem / conjecture (Peter Frankl, 1979)
- Does there exist an element that belongs to at least half of the sets in ( \mathcal{F} )?
Known easy case
- If some member of the family is a singleton ({x}), the claim is immediate.
Partial results (state of the art mentioned)
- True when (|\mathcal{F}| \le 46) (Roberts and Simpson; work cited as 2010).
- True when the largest set size in (\mathcal{F}) is (\le 11).
2) Number theory / Diophantine representation (Strauss–Erdős–type “Egyptian fraction” conjecture)
Conjecture (attributed in the talk to Strauss & Aush; stated 1948)
For every integer (n \ge 2), do there exist integers (A,B,C \ge 1) such that [ \frac{4}{n}=\frac{1}{A}+\frac{1}{B}+\frac{1}{C}\,? ]
Reasoning / examples discussed
- For a particular (n), explicit decompositions sometimes exist.
- The speaker notes the problem is easy for many congruence classes.
- A “difficult” congruence class identified: when (n \equiv 1 \pmod{24}) (example given: (n=73)).
- An explicit formula for numbers of the form (3m+2): [ \frac{4}{3m+2}=\frac{1}{m+1}+\frac{1}{3m+2}+\frac{1}{(m+1)(3m+2)}. ]
Computational verification
- Verified by computer for (n \le 2 \times 10^{14}) (cited as completed in 2012).
“Statistical” / average-case result
- Terren (together with a collaborator—name garbled in subtitles) showed that for randomly chosen (n) in a large range, the average number of solutions ((A,B,C)) is on the order of ((\log n)^3).
- This does not automatically prove the statement for every specific (n).
Status
- Still open for the general “for all (n)” claim.
3) Dynamical systems / geometry (Triangular billiards periodic orbits conjecture)
Phenomenon
- A billiard trajectory in a triangle: a point particle reflects off sides using the usual law of reflection.
Periodic/closed orbit notion
- A closed trajectory (periodic billiard orbit): after some time, the path repeats.
Known “easy” case
- If all three triangle angles are < (40^\circ), a periodic orbit of period 3 can be constructed using geometry involving altitudes and cyclic angle/arc arguments.
Best known general results mentioned
- Computer-assisted technical work (Richard Evan Schan(s); cited as 2006) proves existence in cases where the largest angle is (\le 200^\circ).
- No general results above (100^\circ) except for “very special angles” (e.g., rational multiples of a flat angle).
- The talk asserts (as stated by the speaker): above (90^\circ), there is “never anymore” a periodic orbit of period 3.
Motivation / relation to smoother billiards
- For smooth convex billiards (boundary of class (C^1)), one can prove:
- for each (n), there exists a periodic orbit of period (n).
- Triangles are harder due to nonsmooth corners (endpoint issues during reflection).
4) Combinatorics on sequences (Kővsky self-reproducing sequence conjecture)
Self-reproducing sequence
- Built from digits (1) and (2) using a “counting” rule:
- the next block is determined by the counts of (1)’s and (2)’s in the previous block.
- Introduced by Kov(k)sky (subtitles: Kovski), with uniqueness implied by the self-reproducing rule.
Open problem / conjecture
-
If (P_n) is the proportion of 1’s among the first (n) digits, does [ P_n \to \tfrac{1}{2}\quad \text{as } n\to\infty\,? ]
-
Equivalently, the proportion of 2’s also tends to (1/2).
State of the art mentioned
-
Proven bounds (Vasc, 1994): for large enough (n), [ 0.499 < P_n < 0.51. ]
-
These bounds do not prove the limit equals (1/2).
5) Algorithms / optimization in puzzles (4-peg Reve’s? / optimal 4-peg Towers of Hanoi)
Classical three-peg Towers of Hanoi
- Minimum moves (a_n) satisfy: [ a_n = 2a_{n-1}+1, ] so (a_n) grows on the order of (2^n).
Open problem
- For four pegs, determine:
- the minimum number of moves, and/or
- whether a proposed strategy (published in 1941, credited to “Frame and Stewart” in subtitles) is truly optimal.
Known information
- The strategy is verified to be optimal for (n<30) by computer search.
- Beyond that, computation became too hard.
6) Computational number theory (square-freeness testing vs factorization)
Context
- Let (n) have (D) digits in base 10 (or large (D)).
- Factorization can be done in subexponential time (bounds described).
- Primality testing is doable in polynomial time (attributed to Agrawal–Kayal–Saxena, 2002).
Open problem
- Can square-freeness be tested in polynomial time?
Square-free means: in the prime factorization of (n), all prime exponents are 1 (no (p^2) divides (n)).
Comparison to known complexity
- No algorithm is known that is significantly faster than factoring; faster-than-factoring would already be a major breakthrough.
Analogy with polynomials
- Over polynomials, square-freeness can be tested by:
- computing ( \gcd(p, p’) ) (with derivative),
- and checking whether (\gcd(p,p’)=1).
- The speaker emphasizes there is no known integer analogue “like derivative.”
Bottom line
- Seeking a polynomial-time test for square-freeness, and a method that plays the same role as derivatives do for polynomials.
7) Combinatorial geometry (Erdős–Szekeres / “convex polygon from points” conjecture)
Conjecture (Erdős–Szekeres; stated around 1935 in the talk)
- Given (2^{n}) (or more precisely “(2^n) … plus/minus 1” as stated) points in the plane in general position (no three collinear),
- there always exist (n) points that form the vertices of a convex (n)-gon.
Sharpness
- The bound is sharp: with constructions, slightly decreasing the number of points fails.
- Example sharpness illustration (convex pentagon):
- With 8 points (one less than the bound), one can arrange points so that no 5 of them form a convex pentagon (as described with points placed near a diagram).
Known cases and timeline (as mentioned)
- (n=4): due to Erdős and Szekeres (as said).
- (n=5): mentioned as due to “M. I think Mai” (subtitles garbled).
- (n=6): proved in 2006 by Szekeres and “Pet” (subtitles likely referencing known published work).
Biographical/collaboration notes
- The story is tied to Szekeres, and the talk mentions:
- Esther Klein gave an earlier, less precise version in 1933, and Erdős and Szekeres quickly worked on it afterward.
- Additional note:
- Szekeres later published works including one on spacetime/spinor geometry (outside combinatorics).
Researchers / sources featured (names as stated or implied by the subtitles)
- Joseph Oesterle (speaker; title references “Some simple open problems in Mathematics”)
- Peter Frankl (Union-closed sets conjecture; 1979)
- Roberts (partial result with Simpson; full first name not given in subtitles)
- Simpson (partial result with Roberts; 2010 cited)
- Strauss (Egyptian fraction conjecture; 1948 attributed)
- Aush (co-attributed with Strauss; name garbled—possibly an auto-caption error)
- Balo (name garbled; referenced in connection with a difficult example; identity unclear)
- Terren (average-case solutions result; collaborator name garbled as “elol”)
- Richard Evan Schan(s) (computer-assisted triangular billiards work; 2006; name garbled)
- Kov(s)ky (Kovski sequence / self-reproducing sequence; introduced 1965)
- Okuk (proved periodicity result for Kovksy sequence in 1966; name garbled)
- Vasc (1994 bounds on proportion of 1’s)
- Frame (four-peg Hanoi strategy source, 1941)
- Stewart (four-peg Hanoi strategy source, 1941)
- Agrawal (AKS primality testing; 2002)
- Kayal (AKS primality testing; 2002)
- Saxena (AKS primality testing; 2002)
- Erdős (Erdős–Szekeres convex polygon conjecture)
- Szekeres (Erdős–Szekeres convex polygon conjecture; also proof for (n=6) referenced)
- Esther Klein (earlier talk version in 1933)
- “Peters” (referenced in context of (n=6) and publication timing; exact person unclear due to subtitle noise)
- Lin Peters (mentioned as coauthor on a late paper; name likely garbled)
Where a name is likely garbled by auto-captions, it’s reproduced as closely as possible to the subtitles; exact spellings/identities may differ.