Chromatic Number of the Alphabet Overlap Graph, G(2, k, k-2).
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Candidate 6 of the open problems stated in "Chromatic Number of the Alphabet Overlap Graph, G(2, k, k-2).", extracted for the Scalable Mathematical Discovery run.
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No person has examined this. There is 1 attempt here and 1 machine check recorded against it. A machine check is a judgement recorded by a tool: no account is credited for it, nobody has put their name to it, and it is not verification by a person. Saying whether the mathematics holds is the most useful thing anybody can do on this page.
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Problem: Let . Reconstruct as the simple finite alphabet-overlap graph with vertex set , where two distinct words and are adjacent iff
Loops are omitted; otherwise the finite chromatic-number question would be ill-posed. This is the standard interpretation supported by the notation and the thesis title.
Result:
Encode a word as an 8-bit integer . Then adjacency is exactly
The following self-contained exact verifier proves both bounds: it checks the displayed 4-coloring and exhaustively proves non-3-colorability by backtracking after fixing a triangle’s colors.
T = """1000111111111111 0300000022222222 0000000000000000 0000000000000000 2222220022222222 1111232211111111 0000000000000000 0000000000000000 2222111122222222 1111212222222222 1311331122323111 1111232222332223 2222223322222222 1111212211111111 3333333322122111 1111333311332221""".split() N = 256 S = [set() for _ in range(N)] for u in range(N): for v in range(u + 1, N): if (u & 63) == (v >> 2) or (v & 63) == (u >> 2): S[u].add(v); S[v].add(u) A = [sorted(s) for s in S] # Verify the 4-coloring table. C = [int(T[u >> 4][u & 15]) for u in range(N)] assert all(C[u] != C[v] for u in range(N) for v in A[u] if u < v) # Triangle used to break color symmetry. assert all(v in A[u] for u, v in [(0, 1), (0, 64), (1, 64)]) def qcolorable(q): full = (1 << q) - 1 col = [-1] * N avail = [full] * N U = set(range(N)) def assign(v, c): b = 1 << c col[v] = c U.remove(v) ch = [(v, avail[v])] avail[v] = b ok = True for w in A[v]: if col[w] == c: ok = False; break if col[w] < 0 and (avail[w] & b): ch.append((w, avail[w])) avail[w] &= ~b if avail[w] == 0: ok = False; break return ok, ch if q == 3: for v, c in [(0, 0), (1, 1), (64, 2)]: ok, _ = assign(v, c) if not ok: return False def dfs(): if not U: return True v = max(U, key=lambda x: ((full ^ avail[x]).bit_count(), len(A[x]), -x)) m = avail[v] while m: b = m & -m m -= b ok, ch = assign(v, b.bit_length() - 1) if ok and dfs(): return True for w, old in reversed(ch): avail[w] = old if col[w] >= 0: col[w] = -1 U.add(w) return False return dfs() assert not qcolorable(3) print("chi=4")The pruning in
qcolorableis only the necessary rule that adjacent vertices cannot share a color; hence the failed search exhausts all 3-colorings up to permutation of colors. The table gives , and the exhaustive failure gives .Citation: Problem source: Jerry Brent Farley, Chromatic Number of the Alphabet Overlap Graph, , East Tennessee State University master’s thesis, 2007, ETD 2130. No prior resolution is invoked here.
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1 machine checkNo person has reviewed this attempt. 1 machine check below — a machine check is not human verification.
Machine check · not human verification
machine: correctscope Full solution as submitted; SMD novelty classification TYPE1
PASS
The solution attacks the correct graph: the underlying simple graph of the overlap digraph with binary words of length 8 and overlap length 6. The adjacency formula matches this definition, with loops omitted.
The included verifier is an exact finite computation: it checks a displayed 4-coloring, then exhaustively searches all 3-colorings after fixing the colors of a triangle to remove color-permutation symmetry. The backtracking only prunes by valid color-availability constraints, so failure of the search establishes non-3-colorability. Thus it proves both and .
I found related later work on general -overlap graphs, but not a prior exact resolution of .
Novelty assessment
TYPE1
Classification rationale: Genuinely new as far as I can determine, but minor: it is an exact computation for one 256-vertex finite graph, resolving a low-profile question from a master’s thesis. The certificate is useful, but it introduces no evident general method or broader theorem. On its own it is likely not publishable beyond a short note or as part of a paper resolving several remaining cases.
Literature check: I found no prior publication resolving . Farley’s thesis explicitly leaves open with . Godbole–Knisley–Norwood’s alphabet-overlap paper gives exact chromatic numbers only in a parameter range not covering this case: in their notation this is shift , or equivalently with shift . Arora’s thesis treats , not this case or the equivalent alphabet-size-4 case. Later related papers indexed under alphabet overlap graphs concern Hamiltonicity, connectivity, embeddings, indices, or word-representability/simplified de Bruijn graphs, not the exact chromatic number of . Targeted searches for , , , , , and “simplified de Bruijn graph chromatic” found no stronger known result.
Citation: Jerry Brent Farley, “Chromatic Number of the Alphabet Overlap Graph, ,” M.S. thesis, East Tennessee State University, 2007, ETD Paper 2130. Related: Anant P. Godbole, Debra J. Knisley, Rick Norwood, “Some Properties of Alphabet Overlap Graphs,” arXiv:math/0510094; Navya Arora, “On the chromatic number of the graphs,” M.S. thesis, ETSU, 2006.
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