A uniformness conjecture of the Kolakoski sequence, graph connectivity, and correlations
Abstract
The Kolakoski sequence is the unique infinite sequence with values in \1,2\ and first term 1 which equals the sequence of run-lengths of itself, we call this K(1,2). We define K(m,n) similarly. A well-known conjecture is that the limiting density of K(1,2) is one-half. We state a natural generalization, the "generalized uniformness conjecture" (GUC). The GUC seems intractable, but we prove a partial result. The GUC implies that members of a certain family of directed graphs Gm,n,k are all strongly connected. We prove this unconditionally. For d>0, let cf(m,n,d) be the density of indices i such that K(m, n)i=K(m, n)i+d. Essentially, cf(m, n, d) is the autocorrelation function of a stationary stochastic process with random variables \Xt\t∈Z whereby a sample of a finite window of this process is formed by copying as many consecutive terms of K(m,n) starting from a "uniformly random index" i∈Z+. Assuming the GUC, we prove that we can compute cf(m,n,d) exactly for quite large d by constructing a periodic sequence S of period around 108.5 such that for d not too large, the correlation frequency at distance d in K(m,n) equals that in S. We efficiently compute correlations in S using polynomial multiplication via FFT. We plot our estimates cf(m,n,d) for several small values of (m,n) and d105 or 106. We note many suggested patterns. For example, for the three pairs (m,n)∈\(1,2),(2,3),(3,4)\, the function cf(m,n,d) behaves very differently as we restrict d to the m+n residue classes mod m+n. The plots of the three functions cf(1,2,d),cf(2,3,d), and cf(3,4,d) resemble waves which have common nodes. We consider this very unusual behavior for an autocorrelation function. The pairs (m,n)∈\(1,4),(1,6),(2,5)\ show wave-like patterns with much more noise.
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