The Component Exponent of a Two-Letter Kronecker WordThe Component Exponent of a Two-Letter Kronecker Word

The Component Exponent of a Two-Letter Kronecker Word

MrlyProd

First published 2026-09-02, revised 2026-09-08

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Nest one small black-and-white pattern inside another, then inside a third, and keep going forever, picking at each step one of two patterns according to an infinite word. Count the connected pieces after LL steps. The count depends on the order of the word, which is what the companion paper is about; this one asks whether the growth rate of the count does. It does not. We write down an exact formula for the piece count on every one of the 105105 two-letter alphabets over the fifteen nonempty two-by-two designs, and the rate falls out: whenever both letters occur with positive frequency it exists, sees nothing but the two frequencies, and on 8989 of the 105105 alphabets it is just the growth rate of the black-cell count, which never cared about the order in the first place. So the hoped-for payoff, an aperiodic word beating a periodic one, is not there, and the paper says so.

Left: the smallest order-sensitive pair, four black cells either way, four pieces one order and two the other. Right: all 105 alphabets, coloured by whether the exponent meets the cell-count ceiling and by whether the constant-word rule survives.
Left: the smallest order-sensitive pair, four black cells either way, four pieces one order and two the other. Right: all 105 alphabets, coloured by whether the exponent meets the cell-count ceiling and by whether the constant-word rule survives.

A design is a two-by-two square with some cells filled, coded 11 to 1515. A word w=(c1,,cL)w = (c_1, \dots, c_L) gives the 2L×2L2^L \times 2^L picture Aw=Ac1AcLA_w = A_{c_1} \otimes \cdots \otimes A_{c_L}, outermost factor first, with fill(Aw)=ikci\operatorname{fill}(A_w) = \prod_i k_{c_i} black cells and comp(Aw)\operatorname{comp}(A_w) four-connected pieces.

Theorem. Let ww be an infinite word over one of the 105105 alphabets whose letter frequencies exist and are strictly positive. Then χ(w)=limL1Llogcomp(Aw1wL)\chi(w) = \lim_L \tfrac1L \log \operatorname{comp}(A_{w_1 \cdots w_L}) exists and depends only on the frequency vector, so it is blind to the order. It equals the fill exponent falogka+fblogkbf_a \log k_a + f_b \log k_b on 8989 of the alphabets and falls short on 1616; the constant-word rule Φ(f)=(f6+f9)log2\Phi(f) = (f_6 + f_9)\log 2 is refuted on 7878 and exact on 2727; and along the Thue-Morse word over any gasket-and-domino alphabet, χ=12log6\chi = \tfrac12 \log 6 exactly, with the two-sided certificate logcomp(Aw1wL)L2log6log108+12log32<4.885\bigl|\log \operatorname{comp}(A_{w_1 \cdots w_L}) - \tfrac{L}{2}\log 6\bigr| \le \log 108 + \tfrac12 \log \tfrac32 < 4.885 at every L4L \ge 4.

Five regimes close all 105105 alphabets and six geometric lemmas prove them: a contact-free letter cuts the word and turns the piece count into a prefix cell count (6969 alphabets), two letters that never break apart give one piece (1212), two dominoes at right angles give a power of two (44), a row-block argument handles a domino against the full tile (44), and a domino letter turns the count into a count of runs whose recursion telescopes (1616). The positive-frequency hypothesis is load-bearing and the paper proves it sharp: at a boundary frequency three words with the same letter frequencies have rates 00, log2\log 2, and no rate at all, the last one accumulating on a whole interval. python3 scripts/verify.py re-checks every number in about fifteen seconds: the closed forms against an independently drawn picture on all 26,67026{,}670 words of length at most 77 over all 105105 alphabets, the four verdict counts re-derived alphabet by alphabet, the Thue-Morse certificate at every length up to 2142^{14} in both readings, and the boundary and tripling words that mark the limits of the theorem.

  • paper.pdf - the paper.
  • tectonic paper.tex rebuilds it; python3 scripts/verify.py re-checks every number; python3 scripts/figure.py redraws both plates.