Tldr

Let be the number of domicule tilings of the board. In all 1453 cases I tested, is log-convex. That finite statement is neither proved nor conjectured: it fails on the triangular lattice, under unequal diagonal weights and for larger equal weights. The conjecture is its limit, convexity of the strip growth rates, which would give for the entropy per site.

The statements

is the number of perfect matchings of the king’s graph on the board, the array OEIS A239264. The growth rate of the free strip of width is defined by , and for , with . Three statements matter.

(L), the finite form, which I do not conjecture:

(L), the conjecture of the paper: for all .

(O), the second conjecture: for every odd .

(L) implies (L). It makes convex for every , these sequences tend to along even because , and a pointwise limit of convex sequences is convex.

The reason to care is the entropy bound. For hard squares a symmetric strip transfer matrix gives the Calkin-Wilf lower bounds from differences of strip growth rates. For the king’s graph the same bounds would read . Under (L) the increments increase to , so , and certified values of and turn that into . Under (O), gives . Strip bounds without these hypotheses converge only like (the entropy note).

Proved, tested, conjectured

statementstatusbasis
(L) implies (L)provedthe limit argument above
(L) implies ; (O) implies proved as implicationscertified values of , ,
(L) at unit weights on the king’s graphtested, no violation1453 cases
(L) and (O)conjecturedhold wherever computed: second differences of positive for
(L) on free strips of the triangular latticefalseexact counterexample from width 5
(L) with unequal diagonal weightsfalseevery pair tried violates it at some width
(L) with equal diagonal weights false on wide stripsexact finite failures

The tests are exact or carry a rigorous rounding bound. The counts come from the row transfer reduced modulo 60-bit primes and combined by the Chinese remainder theorem, and for widths 25 and 26 from extended precision.

lattice, boundarywidthscasesviolations
king, free2 to 248750
king, cylinder3 to 225500
king, free (extended precision, certified)25, 26280
square, free / cylinderup to 12319 / 2900 / 0
triangular, cylinderup to 122900
triangular, freeup to 1231992

The first three rows add up: 875 + 550 + 28 = 1453. The property belongs to even row counts: for even , the sequence is log-concave in 217 of 220 tested cases.

Where it fails

On free strips of the triangular lattice (one diagonal per square) (L) fails from width 5: , , , and , confirmed by brute force. An argument for (L) has to use the king’s graph itself, not only non-planarity.

Give the orthogonal edges weight 1 and the two diagonals weights and . The left-right reflection exchanges the diagonals, and the row transfer is self-adjoint for the indefinite form , with the kernel of the edges between two rows. The weight of a simple real eigenvalue with in is

so its sign is the Krein signature of the eigenvector . When the visible level of next largest modulus is real, positive and dominant, (L) fails for large exactly when its weight is negative. The weights violate (L) at width 4 from and at width 8 from , where the prediction is exact, and at width 12 from , outside the range of the prediction.

With equal weights on both diagonals stays a symmetry, and (L) still fails. Exactly, for every with at , at and at , while and show no violation at for .

Two modes

At unit weights the data read with , the gap inside a sector, and . A second, faster mode comes from the splitting of the two parity sectors of the free strip. It alternates with period 4 and shrinks by a factor per two columns. In the second differences of the modes appear as and , and at the second is of the first. For large , (L) and (O) come down to the sign and to the alternating mode decaying faster than the bulk one.

Both modes are levels of the cylinder transfer, and the identification is numerical: I have no bound on the remainder and no proof that the weights per unit length converge. Along equal diagonal weights the rates of the two modes cross at , if the circumferences and keep bracketing it. The unit weight lies below that crossing, which rules out proofs that are uniform in the weight. At the levels predict that is convex from , and at and they predict that the second differences change sign infinitely often.

Why the standard proofs stop

The form that glues two half-boards across a cut is the number of matchings across it, and it is indefinite: for columns of length 3 its smallest eigenvalue is . Reflection positivity therefore fails. The sequence is not a Stieltjes moment sequence either, since the Hankel matrices have negative minors for every free width and every circumference .

One exact reformulation is a count of paths. Superpose a matching of rows with one of rows , or a matching of with one of . The union consists of paths and even cycles, with cycles of length at least four and paths from top to bottom, and

(L) asks for a sign-reversing injection that flips the parity of all top-bottom paths, and by the counterexamples it would have to depend on the lattice and on the size of the diagonal weight. Proving (L) at unit weights remains open.

Sources

  1. Dawid Ryłko, Log-convexity of strip dimer counts on the king’s graph, Zenodo (PDF: king-entropy-log-convexity.pdf): statements, tests, counterexamples, modes and obstructions.
  2. Dawid Ryłko, The dimer entropy of the king’s graph, Zenodo (PDF: king-entropy.pdf): the conjectures (L) and (O) and the conditional bounds.
  3. Dawid Ryłko, king-entropy-log-convexity.tex: the LaTeX source.
  4. Dawid Ryłko, paper/NUMBERS.md: the map from the 1453 cases to their output files.
  5. Dawid Ryłko, The dimer entropy of the king’s graph: transfer-matrix scripts, data and outputs, Zenodo: code and data of the tag king-entropy-v1.0.0.
  6. OEIS Foundation, A239264: domicule tilings of the h × w rectangle.
  7. N. J. Calkin and H. S. Wilf, The number of independent sets in a grid graph, SIAM Journal on Discrete Mathematics 11, 1998: the hard-square lower bounds.
  8. R. Pavlov, Approximating the hard square entropy constant with probabilistic methods, Annals of Probability 40, 2012.