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[#P2] Determinants of the Fibonacci-sum matrix

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M14indices start at 1 · a cell is dark when i + j is Fibonacci

Problem. For each integer \(n\ge 1\), define the integer matrix \(M_n=(m_{ij})_{1\le i,j\le n}\) by \[ m_{ij}=\begin{cases} 1, & i+j \text{ is a Fibonacci number}, \\ 0, & \text{otherwise}. \end{cases} \] Prove that \(\det(M_n)\in\{-1,0,1\}\) for every integer \(n\ge 1\).

1Context

This conjecture concerns the determinants of finite indicator matrices whose nonzero entries are selected by Fibonacci sums.

2Remarks

Remark 1. The rows and columns of \(M_n\) are indexed by \(1,\ldots,n\).

1The answerEstablishedloading Lean verification

Answer (The determinant is always minus one, zero, or one). For every integer n >= 1, the determinant of the Fibonacci-sum indicator matrix M_n belongs to {-1,0,1}.

Proof

Proof. Let

$$ q_0=1,\qquad q_1=2,\qquad q_{s+1}=q_s+q_{s-1}. $$

These are the distinct positive Fibonacci numbers. Since every matrix index sum is at least $2$, this convention gives the same matrices as the standard sequence $F_0=0,F_1=1$.

For $n\geq 1$, let $M_n=(m_{ij})_{1\leq i,j\leq n}$, where

$$ m_{ij}= \begin{cases} 1,&i+j=q_s\text{ for some }s,\\ 0,&\text{otherwise}. \end{cases} $$

We prove the following stronger statement.

Theorem. Every $M_n$ is totally unimodular. Consequently, every square minor of $M_n$, including $\det M_n$, belongs to $\{-1,0,1\}$.

1. The support graph.

Let $Q_n$ be the bipartite graph with row vertices $r_1,\ldots,r_n$, column vertices $c_1,\ldots,c_n$, and an edge $r_i c_j$ exactly when $i+j$ is Fibonacci. The matrix $M_n$ is the biadjacency matrix of $Q_n$. A diagonal entry of $M_n$ becomes the ordinary bipartite edge $r_i c_i$, so loops never arise in $Q_n$.

The ordinary loopless Fibonacci-sum graph has analogous chord and outerplanarity properties [2]. The argument below treats the bipartite row-column support graph directly.

Lemma 1. $Q_n$ is chordal bipartite.

Every cycle of length at least six has a chord.

Take such a cycle and let $m$ be its largest numerical label. Row-column symmetry lets us suppose that $r_m$ lies on the cycle. Choose $k$ with

$$ q_k\leq m<q_{k+1}. $$

If $c_j$ is a neighbor of $r_m$ whose label is at most $m$, then $m+j\in(m,2m]$. The only possible Fibonacci numbers in this interval are $q_{k+1}$ and $q_{k+2}$. If $q_{k+2}>2m$, this gives at most one neighbor, so $r_m$ cannot lie on a cycle. We may therefore assume $q_{k+2}\leq 2m$. The two cycle neighbors of $r_m$ must then be

$$ c_a,\quad c_b,\qquad a=q_{k+1}-m,\quad b=q_{k+2}-m. $$

Put $z=m-q_k$. We have $b>q_k$. Among vertices with labels at most $m$, the vertex $c_b$ therefore has exactly two neighbors, namely $r_m$ and $r_z$, because

$$ b+m=q_{k+2},\qquad b+z=q_{k+1}. $$

Also

$$ a+z=(q_{k+1}-m)+(m-q_k)=q_{k-1}. $$

Thus the cycle contains the path

$$ c_a-r_m-c_b-r_z $$

and $r_zc_a$ is an edge. On a cycle of length at least six, that edge is a chord. The same calculation covers $b=m$. In that case $a=z$, while $r_a,c_a,r_m,c_m$ are still four distinct graph vertices.

Lemma 2. Every edge of $Q_n$ lies in at most two four-cycles.

First classify the four-cycles in the infinite version of the graph. Suppose a four-cycle uses rows $x<X$ and columns $y<Y$. Set

$$ A=x+y,\quad B=x+Y,\quad C=X+y,\quad D=X+Y. $$

All four numbers are Fibonacci, $A<B,C<D$, and

$$ A+D=B+C. $$

Assume $B\leq C$, and write

$$ A=q_\alpha,\quad B=q_\beta,\quad C=q_\gamma,\quad D=q_\delta. $$

Then

$$ q_\delta-q_\gamma=q_\beta-q_\alpha. $$

If $\delta\geq\gamma+2$, the left side is at least $q_{\gamma+1}$, while the right side is smaller than $q_\beta\leq q_\gamma$. Hence $\delta=\gamma+1$, and the common difference is $q_{\gamma-1}$. If $\beta\leq\gamma-1$, the right side is smaller than $q_\beta\leq q_{\gamma-1}$. Hence $\beta=\gamma$, followed by $\alpha=\gamma-2$.

Writing $t=\gamma$, every four-cycle has corner sums

$$ q_{t-2},\quad q_t,\quad q_t,\quad q_{t+1}, $$

and its row and column increments are both

$$ q_t-q_{t-2}=q_{t-1}. $$

Now fix an edge $r_xc_y$ with $x+y=q_s$. It can occur in a classified four-cycle in three ways:

1. As the $q_{t-2}$ corner. This determines at most one four-cycle.

2. As the $q_{t+1}$ corner. This determines at most one four-cycle and requires $x,y>q_{s-2}$.

3. As one of the two $q_t$ corners. The two orientations require, respectively, $x>q_{s-1}$ or $y>q_{s-1}$.

The two orientations in the third case cannot both occur, since $x+y=q_s<2q_{s-1}$. The second and third cases cannot occur together, since their inequalities would give

$$ x+y>q_{s-2}+q_{s-1}=q_s. $$

There is therefore at most one four-cycle from the first case and at most one from the other two cases combined.

Lemma 3. $Q_n$ is outerplanar.

We construct an outerplane embedding by induction on $n$. The claim is immediate for $n=1$. Assume $Q_{m-1}$ has an outerplane embedding, and choose $k$ with $q_k\leq m<q_{k+1}$. Set

$$ a=q_{k+1}-m. $$

If $2m<q_{k+2}$, the new vertices $r_m,c_m$ add the two pendant edges $r_mc_a$ and $r_ac_m$. Draw them in the outer face.

Suppose $2m=q_{k+2}$. Then

$$ a=m-q_k,\qquad 2a=q_{k-1}. $$

The old graph contains $r_ac_a$, and the two new vertices complete the four-cycle

$$ r_a-c_a-r_m-c_m-r_a. $$

Suppose $2m>q_{k+2}$. Put

$$ b=q_{k+2}-m,\qquad z=m-q_k. $$

Here $b<m$. In $Q_{m-1}$, $c_b$ is pendant at $r_z$, and $r_b$ is pendant at $c_z$. The new vertices complete two four-cycles, attached along the old edges

$$ r_zc_a\qquad\text{and}\qquad r_ac_z. $$

In both the equality and strict cases, each attachment edge borders the outer face of the chosen embedding. To see this, suppose an attachment edge bordered two bounded faces. It lies in a two-connected block. Each of those faces has an induced cycle as its boundary, and Lemma 1 makes each boundary a four-cycle. The new four-cycle would place the attachment edge in three four-cycles, contrary to Lemma 2.

We can therefore draw each new four-cycle in the outer face beside its attachment edge. The old pendant vertices $c_b$ and $r_b$ can be moved within that face into the required positions. In the last case the two attachment edges are vertex-disjoint, since

$$ z-a=2m-q_{k+2}>0. $$

This completes the induction.

2. The divisibility condition.

We need one plane-graph observation.

Lemma 4. Eulerian outerplane quadrangulations have a multiple of four edges.

Let $H$ be an outerplane graph in which every vertex has even degree and every bounded face is a four-cycle. Then $|E(H)|$ is divisible by four.

It is enough to work one connected component at a time. A connected graph in which every vertex has even degree has no bridges. Its plane dual is bipartite, so its faces admit a black-white coloring with adjacent faces receiving opposite colors. Color the outer face white. Every edge then borders exactly one black face. All black faces are bounded four-faces, and hence

$$ |E(H)| =\sum_{\text{black faces }f}|\partial f| =4\cdot\#\{\text{black faces}\}. $$

3. Camion's criterion.

Camion's criterion [3] says that a $0,\pm1$ matrix is totally unimodular if and only if the sum of the entries in every square submatrix with even row sums and even column sums is divisible by four.

Take any square submatrix $B=M_n[I,J]$ whose row and column sums are even. Its support graph is the subgraph of $Q_n$ induced by

$$ \{r_i:i\in I\}\cup\{c_j:j\in J\}. $$

This graph remains outerplanar and chordal bipartite. Every vertex has even degree. In an outerplane embedding, each bounded face is an induced cycle inside a two-connected block. Lemma 1 makes every such face a four-cycle. Lemma 4 now gives

$$ \sum_{i\in I,\ j\in J} B_{ij}=|E(B)|\equiv0\pmod4. $$

Camion's criterion applies to every such $B$. Thus $M_n$ is totally unimodular for every $n$, which proves

$$ \boxed{\det M_n\in\{-1,0,1\}\quad\text{for every }n\geq1.} $$

1Records

48 records

How the 48 records connectTyped relations and evidence flow
How the records connect to the problem

ProblemDeterminants of the Fibonacci-sum matrix

  1. Proposition 2Every Fibonacci-sum matrix is totally unimodularclaims to resolveReview pending
  2. Computation 1Exact determinant range verified through n=120supportsReproduced
  3. Artifact 5Exact Bareiss determinant sweep through n=120checksReproduced
  4. Proposition 1Determinant equals a signed matching imbalancereformulatesSupported
  5. Claim 1Cancellation at n=33 is exactsupportsSupported
  6. Artifact 1Allowed-permutation parity count at n=33checksSupported
  7. Route 2Construct a sign-reversing involution on allowed permutationsaddressesConjectured
  8. Route 7Use the signed perfect-matching graphaddressesConjectured
  9. Formalization 1Lean definition of the Fibonacci-sum matrixformalizesReported
  10. Formalization 7Total unimodularity of the Fibonacci-sum matrixdepends onReported
  11. Formalization 8Lean determinant-range reductiondepends onReported
  12. Formalization 2Fibonacci support four-cycle classificationdepends onReported
  13. Formalization 5Fibonacci odd square coverdepends onReported
  14. Formalization 6Fibonacci support divisibility conditiondepends onReported
  15. Route 8Classify sequences with totally unimodular sum matricesgeneralizesConjectured
  16. Computation 3Fibonacci growth rate does not force the determinant propertyconstrainsReproduced
  17. Artifact 6Exact growth-rate counterexample at n=5checksReproduced
  18. Question 1Characterize the nonzero determinant indicessubproblem ofSupported
  19. Conjecture 2Primary gaps in nonzero support follow a Fibonacci formulasupportsSupported
  20. Artifact 2Nonzero determinant support and Zeckendorf tablechecksSupported
  21. Conjecture 3Secondary support gaps repeat the primary sizessupportsSupported
  22. Conjecture 4A tertiary support-gap family has its own recurrencesupportsSupported
  23. Computation 2Observed nonzero determinant indices through n=120supportsReproduced
  24. Claim 8Dated status and exact unresolved remainderaddressesSupported
  25. Route 3Search for an explicit unimodular eliminationaddressesConjectured
  26. Route 6Sweep Smith normal formstestsConjectured
  27. Route 4Close a recursion on the peeled coreaddressesSupported
  28. Claim 3Residual cores appear on Zeckendorf-sparse symmetric index setssupportsReported
  29. Artifact 8Residual-core index samplessupportsReproduced
  30. Route 5Infer the core index map in Zeckendorf coordinatesenablesSupported
  31. Claim 4Support-difference rows replicate four levels latersupportsSupported
  32. Artifact 3Colored block self-similarity diagramchecksSupported
  33. Claim 5Support blocks exhibit mirror symmetriessupportsSupported
  34. Artifact 4Planned core sweep through n=500implementsConjectured
  35. Claim 6A boundary effect interrupts the mirror ruleconstrainsSupported
  36. Route 9Search matrix and Fibonacci literature for a known reductionaddressesConjectured
  37. Route 10Formalize the conjecture and finite reductions in LeanaddressesConjectured
  38. Theorem 1The determinant is always minus one, zero, or oneresolvesEstablished
  39. Route 1Reduce by forced singleton rows and columnsaddressesIncomplete method
  40. Proposition 3Forced peeling reduces the determinant to a core determinantsalvagesSupported
  41. Computation 4Singleton peeling usually leaves a residual coreruled out as a complete methodReproduced
  42. Artifact 7Singleton-peeling residual-core sweepchecksReproduced
  43. Conjecture 1Lucas sequences may share total unimodularityin this packetReported
  44. Claim 2Several non-Lucas sequences also pass initial testsbroadensReported
  45. Formalization 3Almost-TU determinant and nonvanishing cofactorsin this packetReported
  46. Formalization 4Camion's total-unimodularity criteriondepends onReported
2 records with no typed link to the problem

2See also

How to cite

Philip Weiss, “Determinants of the Fibonacci-sum matrix,” TheoremDB research memory, snapshot of July 26, 2026. https://theoremdb.org/statements/fib-problem-determinant-range

This problem includes 48 records joined by 103 typed links, sourced from mathoverflow.net[1], current as of July 26, 2026.

1Lean verification

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Lean proof dependency graphPrerequisites flow downward into the target declaration. Select a node to read its formal statement.fibSumMatrix_det_range: Fully formalizedfibSumMatrix_det_rangeFully formalizedfibSumMatrix_totallyUnimodular: Fully formalizedfibSumMatrix_totallyUnim…Fully formalizedfibSumMatrix: Fully formalizedfibSumMatrixFully formalizedfibSumMatrix_camion_divisibility: Fully formalizedfibSumMatrix_camion_divi…Fully formalizedisTotallyUnimodular_of_camion: Fully formalizedisTotallyUnimodular_of_c…Fully formalizedfibSubmatrixSupport_has_odd_square_cover: Fully formalizedfibSubmatrixSupport_has_…Fully formalizedminimal_bad_square_minor_det_and_adjugate_nonzero: Fully formalizedminimal_bad_square_minor…Fully formalizedfibonacci_support_four_corner_classification: Fully formalizedfibonacci_support_four_c…Fully formalized

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Toolchain
leanprover/lean4:v4.33.0-rc1
Mathlib
4608056c77c52468b80773e8dcd585ef821c7c5e
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d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc
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Classical.choice, Quot.sound, propext
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lake exe cache get
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lake env lean Reproduce.lean

TheoremDB generates this archive from an allowlist after its source hash matches the pinned world. It contains UTF-8 Lean, TOML, JSON, and Markdown files, with no executables, scripts, or symlinks. Inspect source before compiling it, and use a container or disposable environment when desired.

Theorem or lemma

fibSumMatrix_det_range

Lean determinant-range reduction

Fully formalized

lean-4.33.0-rc1/mathlib4@4608056c77c52468b80773e8dcd585ef821c7c5e+theoremdb@d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc

Lean 4 · read only
theorem fibSumMatrix_det_range : DeterminantRangeStatement := by
  intro n
  obtain ⟨s, hs⟩ := fibSumMatrix_totallyUnimodular n n id id Function.injective_id Function.injective_id
  cases s <;> simp_all

Uses fibSumMatrix_totallyUnimodular

Theorem or lemma

fibSumMatrix_totallyUnimodular

Total unimodularity of the Fibonacci-sum matrix

Fully formalized

lean-4.33.0-rc1/mathlib4@4608056c77c52468b80773e8dcd585ef821c7c5e+theoremdb@d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc

Lean 4 · read only
theorem fibSumMatrix_totallyUnimodular (n : ℕ) : (fibSumMatrix n).IsTotallyUnimodular := by
  classical
  apply TheoremDB.Matrix.isTotallyUnimodular_of_camion
  · intro i j
    by_cases h : IsFibonacci (i.val + j.val + 2)
    · use 1
      simp [fibSumMatrix, h]
    · use 0
      simp [fibSumMatrix, h]
  · exact fibSumMatrix_camion_divisibility n

Uses fibSumMatrix, isTotallyUnimodular_of_camion, fibSumMatrix_camion_divisibility

Theorem or lemma

fibSumMatrix

Lean definition of the Fibonacci-sum matrix

Fully formalized

lean-4.33.0-rc1/mathlib4@4608056c77c52468b80773e8dcd585ef821c7c5e+theoremdb@d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc

Lean 4 · read only
noncomputable def fibSumMatrix (n : ℕ) : Matrix (Fin n) (Fin n) ℤ := fun i j => if IsFibonacci (i.val + j.val + 2) then 1 else 0

Theorem or lemma

fibSumMatrix_camion_divisibility

Fibonacci support divisibility condition

Fully formalized

lean-4.33.0-rc1/mathlib4@4608056c77c52468b80773e8dcd585ef821c7c5e+theoremdb@d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc

Lean 4 · read only
theorem fibSumMatrix_camion_divisibility (n k : ℕ) (f : Fin k → Fin n) (g : Fin k → Fin n) (hf : f.Injective) (hg : g.Injective) (hrows : HasEvenRowSums ((fibSumMatrix n).submatrix f g)) (hcols : HasEvenColumnSums ((fibSumMatrix n).submatrix f g)) : (4 : ℤ) ∣ entrySum ((fibSumMatrix n).submatrix f g) := by
  rw [entrySum_fibSumMatrix_submatrix]
  exact_mod_cast fibSubmatrixSupport_card_dvd_four n k f g hf hg hrows hcols

Uses fibSubmatrixSupport_has_odd_square_cover

Theorem or lemma

isTotallyUnimodular_of_camion

Camion's total-unimodularity criterion

Fully formalized

lean-4.33.0-rc1/mathlib4@4608056c77c52468b80773e8dcd585ef821c7c5e+theoremdb@d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc

Lean 4 · read only
theorem isTotallyUnimodular_of_camion {m n : Type*} [Fintype m] [DecidableEq m] [Fintype n] [DecidableEq n] (A : Matrix m n ℤ) (hentries : ∀ i j, A i j ∈ Set.range SignType.cast) (hcamion : ∀ (k : ℕ) (f : Fin k → m) (g : Fin k → n), f.Injective → g.Injective → HasEvenRowSums (A.submatrix f g) → HasEvenColumnSums (A.submatrix f g) → (4 : ℤ) ∣ entrySum (A.submatrix f g)) : A.IsTotallyUnimodular := by
  by_contra hA
  rcases exists_minimal_bad_square_minor A hA with ⟨k, f, g, hf, hg, hbad, hminimal⟩
  rcases minimal_bad_square_minor_is_camion_obstruction A hentries k f g hf hg hbad hminimal with ⟨hrows, hcols, hnot_four⟩
  exact hnot_four (hcamion k f g hf hg hrows hcols)

Uses minimal_bad_square_minor_det_and_adjugate_nonzero

Theorem or lemma

fibSubmatrixSupport_has_odd_square_cover

Fibonacci odd square cover

Fully formalized

lean-4.33.0-rc1/mathlib4@4608056c77c52468b80773e8dcd585ef821c7c5e+theoremdb@d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc

Lean 4 · read only
theorem fibSubmatrixSupport_has_odd_square_cover (n k : ℕ) (f : Fin k → Fin n) (g : Fin k → Fin n) (hf : f.Injective) (hg : g.Injective) (hrows : HasEvenRowSums ((fibSumMatrix n).submatrix f g)) (hcols : HasEvenColumnSums ((fibSumMatrix n).submatrix f g)) : ∃ faces : Finset (SelectedSupportSquare n k f g), ∀ edge ∈ fibSubmatrixSupport n k f g, Odd (faces.filter fun S => edge ∈ S.edges).card := by
  -- Kernel-checked square-toggle induction in OddSquareCover.lean

Uses fibonacci_support_four_corner_classification

Theorem or lemma

minimal_bad_square_minor_det_and_adjugate_nonzero

Almost-TU determinant and nonvanishing cofactors

Fully formalized

lean-4.33.0-rc1/mathlib4@4608056c77c52468b80773e8dcd585ef821c7c5e+theoremdb@d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc

Lean 4 · read only
theorem minimal_bad_square_minor_det_and_adjugate_nonzero {m n : Type*} [Fintype m] [DecidableEq m] [Fintype n] [DecidableEq n] (A : Matrix m n ℤ) (hentries : ∀ i j, A i j ∈ Set.range SignType.cast) (k : ℕ) (f : Fin k → m) (g : Fin k → n) (hf : f.Injective) (hg : g.Injective) (hbad : (A.submatrix f g).det ∉ Set.range SignType.cast) (hminimal : ∀ (l : ℕ), l < k → ∀ (f' : Fin l → m) (g' : Fin l → n), f'.Injective → g'.Injective → (A.submatrix f' g').det ∈ Set.range SignType.cast) (hk : 3 ≤ k) : ((A.submatrix f g).det = 2 ∨ (A.submatrix f g).det = -2) ∧ ∀ i j, (A.submatrix f g).adjugate i j ≠ 0 := by
  exact ⟨minimal_bad_square_minor_det_eq_two_or_neg_two A k f g hf hg hbad hminimal hk, minimal_bad_square_minor_adjugate_nonzero A k f g hf hg hbad hminimal (by omega)⟩

Theorem or lemma

fibonacci_support_four_corner_classification

Fibonacci support four-cycle classification

Fully formalized

lean-4.33.0-rc1/mathlib4@4608056c77c52468b80773e8dcd585ef821c7c5e+theoremdb@d575c4e2ff28345440c4f8a42bf0178bcb3f6f41b703a45d9d1cbb709036f0dc

Lean 4 · read only
theorem fibonacci_support_four_corner_classification {x X y Y : ℕ} (_hx : x < X) (hy : y < Y) (hmiddle : x + Y ≤ X + y) (hA : IsFibonacci (x + y + 2)) (hB : IsFibonacci (x + Y + 2)) (hC : IsFibonacci (X + y + 2)) (hD : IsFibonacci (X + Y + 2)) : ∃ t : ℕ, 3 ≤ t ∧ x + y + 2 = positiveFib (t - 2) ∧ x + Y + 2 = positiveFib t ∧ X + y + 2 = positiveFib t ∧ X + Y + 2 = positiveFib (t + 1) ∧ X = x + positiveFib (t - 1) ∧ Y = y + positiveFib (t - 1) := by
  -- Checked proof in formal/lean/TheoremDB/Fibonacci/Graph.lean

Uses fibSumMatrix

  • fibSumMatrix_totallyUnimodular is a prerequisite of fibSumMatrix_det_range
  • fibSumMatrix is a prerequisite of fibSumMatrix_totallyUnimodular
  • isTotallyUnimodular_of_camion is a prerequisite of fibSumMatrix_totallyUnimodular
  • minimal_bad_square_minor_det_and_adjugate_nonzero is a prerequisite of isTotallyUnimodular_of_camion
  • fibSumMatrix_camion_divisibility is a prerequisite of fibSumMatrix_totallyUnimodular
  • fibSubmatrixSupport_has_odd_square_cover is a prerequisite of fibSumMatrix_camion_divisibility
  • fibonacci_support_four_corner_classification is a prerequisite of fibSubmatrixSupport_has_odd_square_cover
  • fibSumMatrix is a prerequisite of fibonacci_support_four_corner_classification

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1References

  1. Packet source. Philip Weiss, Is the determinant of this "Fibonacci sum" indicator matrix always -1, 0, or 1?, MathOverflow question 513340 (2026), with answers and comments. Question lines 57-60. forum · reference source · web version checked 2026-08-01 · checked 2026-07-26Source use: citation only.For fib problem determinant range; fib problem nonzero support: Supplies the problem statement, reported computations, discussion, and community observations recorded in the packet.Also cited at Question, answers, and comments cited by the individual research records.Also cited at question line 60.Also cited at question line 64.Also cited at comment line 135.Also cited at answer lines 304-306.Also cited at answer lines 305-306.Also cited at answer line 306.Also cited at answer lines 327-371.Also cited at comment lines 109-135.Also cited at answer line 303.Also cited at question lines 65-67.Also cited at MathOverflow comments.Also cited at answer lines 169-306.Also cited at answer image after line 304.For fib problem determinant range; fib problem nonzero support: Supplies the problem statement, reported computations, discussion, and community observations recorded in the packet.Source named by the research packet.
  2. Andrii Arman, David S. Gunderson, and Pak Ching Li, “Properties of the Fibonacci-sum graph”. arXiv:1710.10303 (2017). The outerplanarity result for the Fibonacci-sum graph. preprint · primary source · arXiv:1710.10303v1 · checked 2026-08-01Source use: original summary.For fib problem determinant range; fib problem nonzero support: Supplies the graph-theoretic antecedent used in the packet's independent proof of outerplanarity for the bipartite support graph.Supplies the graph-theoretic antecedent used in the packet's independent proof of outerplanarity for the bipartite support graph.
  3. Paul Camion, “Characterization of totally unimodular matrices”. Proceedings of the American Mathematical Society 16(5) (1965), 1068-1073. DOI 10.1090/S0002-9939-1965-0180568-2. Characterization theorem, pp. 1068-1073. journal article · primary source · publisher version · checked 2026-08-01Source use: original summary.For fib problem determinant range; fib problem nonzero support: Supplies the total-unimodularity criterion applied in the final step of the proof.Supplies the total-unimodularity criterion applied in the final step of the proof.

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