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arxiv: 2603.07423 · v2 · submitted 2026-03-08 · 🧮 math.FA

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· Lean Theorem

Plank theorems, Gaussian probabilistic estimates and Rump's 100 Euro conjecture

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Pith reviewed 2026-05-15 15:37 UTC · model grok-4.3

classification 🧮 math.FA
keywords Rump conjectureBall plank theoremescape principlespectral radiuscondition numberdistance to singularityGaussian estimates
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The pith

If |A|e equals n times the all-ones vector then a nonzero x exists with infinity norm at most 1 and |Ax| at least e which is at least |x|.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper proves Rump's 100-euro conjecture by deriving a weighted affine escape theorem from Ball's plank theorem. For any matrix A over the reals or complexes the escape principle is controlled by the row norms of A and holds for every p-norm between 1 and infinity. The cube case of this principle directly yields the vector x with the stated bounds whenever the absolute row sums equal n, which settles the conjecture. The same result produces the sharp global bound rho zero of |A| is at most n times the sign-real or complex spectral radius of A, removing the previous factor of 3 plus 2 root 2. It also sharpens the link between entrywise distance to singularity and the Bauer-Skeel condition number, and supplies Gaussian estimates for a complex version of Bünger's conjecture under a weaker Euclidean row condition.

Core claim

We prove Rump's 100-euro conjecture by deriving a weighted affine escape theorem from Ball's plank theorem in Invent. Math. 104 (1991). For every 1 ≤ p ≤ ∞ we obtain an ℓ_p-escape principle controlled by the row ℓ_q-norms of A. Its cube case shows that |A|e = n e implies the existence of a nonzero vector x satisfying ||x||_∞ ≤ 1 and |Ax| ≥ e ≥ |x|, thereby settling the conjecture. As a consequence we prove the global comparison ρ₀(|A|) ≤ n ρ_K(A), which is the sharp form of Rump's Perron-Frobenius-type estimate with the factor 3+2√2 removed. Moreover our ℓ_∞-escape principle sharpens Rump's result on the relation between the entrywise distance to singularity and its entrywise Bauer-Skeel 1/2

What carries the argument

The weighted affine escape theorem derived from Ball's plank theorem, which produces a nonzero vector x obeying ||x||_∞ ≤ 1 and |Ax| ≥ e ≥ |x| precisely when |A|e = n e.

If this is right

  • The inequality ρ₀(|A|) ≤ n ρ_K(A) holds sharply for real and complex matrices.
  • The entrywise distance to singularity of A is controlled by its Bauer-Skeel condition number with an improved constant.
  • Gaussian probabilistic estimates establish a complex analogue of Bünger's conjecture for matrices obeying a Euclidean row-norm condition.
  • The ℓ_p-escape principles hold uniformly for all 1 ≤ p ≤ ∞ when controlled by the appropriate dual row norms.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same escape construction may yield exact constants in other norm comparisons that previously carried approximation factors.
  • Counterexamples for strengthenings of the Euclidean row condition indicate that Gaussian estimates are likely optimal for that weaker hypothesis.
  • The method could be tested on random matrices to measure how often the vector x can be chosen with additional sign or support restrictions.

Load-bearing premise

Ball's plank theorem can be adapted without gaps to produce the exact weighted affine escape principle needed for the row-sum condition |A|e = n e over both real and complex fields.

What would settle it

A concrete matrix A satisfying |A|e = n e for which no nonzero x with ||x||_∞ ≤ 1 obeys |Ax| ≥ e ≥ |x|, or a matrix where ρ₀(|A|) exceeds n times ρ_K(A).

read the original abstract

We prove Rump's 100-euro conjecture by deriving a weighted affine escape theorem from Ball's plank theorem in [Invent. Math. \textbf{104} (1991)]. More precisely, let $\mathbb{K}\in\{\mathbb{R},\mathbb{C}\}$ and let $A\in\mathbb{K}^{n\times n}$. For every $1\le p\le \infty$, we obtain an $\ell_p$-escape principle controlled by the row $\ell_q$-norms of $A$. Its cube case shows that $|A|e=ne$, where $e$ is the all-one vector, implies the existence of a nonzero vector $x$ satisfying $\|x\|_{\infty}\le 1$ and $|Ax|\ge e\ge |x|$, thereby settling the conjecture. As a consequence, we prove the global comparison $\rho_0(|A|)\le n\,\rho_{\mathbb{K}}(A)$,where $\rho_{\mathbb{K}}$ denotes the sign-real or complex spectral radius, respectively. This is the sharp form of Rump's Perron--Frobenius-type estimate, with the factor $3+2\sqrt{2}$ removed. Moreover, our $\ell_\infty$-escape principle sharpens Rump's result in [SIAM Rev. \textbf{41} (1999)] on the relation between the entrywise distance to singularity of a matrix and its entrywise Bauer--Skeel condition number. Finally, we also investigate the weaker Euclidean row condition, including sharp quantitative bounds and counterexamples to possible strengthenings. In particular, we use Gaussian probabilistic estimates to establish a complex analogue of a conjecture of B\"unger.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The paper claims to prove Rump's 100-euro conjecture by deriving a weighted affine escape theorem from Ball's 1991 plank theorem. For A in K^{n x n} with K real or complex, it obtains an ℓ_p-escape principle controlled by row ℓ_q-norms of A for 1 ≤ p ≤ ∞. The cube case establishes that |A|e = n e implies a nonzero x with ||x||_∞ ≤ 1 and |Ax| ≥ e ≥ |x|, yielding the sharp global comparison ρ0(|A|) ≤ n ρ_K(A) and sharpening Rump's results on entrywise distance to singularity versus Bauer-Skeel condition number. It further treats the Euclidean row condition via Gaussian estimates, including a complex analogue of Bünger's conjecture.

Significance. If the central derivation holds without gaps, the work resolves a longstanding conjecture in matrix analysis, removes the extraneous factor 3+2√2 from prior Perron-Frobenius-type bounds, and supplies new escape principles with direct applications to spectral radius comparisons and condition numbers. The use of Ball's theorem as a starting point and the probabilistic treatment of the Euclidean case are strengths when the reductions are verified.

major comments (1)
  1. [Cube case for K=C] Cube case for K=C (derivation of weighted escape from Ball's plank theorem): the identification C^n ≅ R^{2n} must explicitly preserve the affine weighting by row ℓ_q-norms and the entrywise modulus inequality |Ax| ≥ e; without controlling phase factors in the ℓ_∞-ball geometry, the claimed sharpness for |A|e = n e may fail to hold.
minor comments (2)
  1. [Introduction] Define ρ0(|A|) and ρ_K(A) explicitly at first use rather than deferring to later sections.
  2. [Euclidean row condition section] Add a brief remark on how the Gaussian estimates in the Euclidean case relate quantitatively to the plank-derived bounds.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful reading and insightful comments. We provide a point-by-point response to the major comment below.

read point-by-point responses
  1. Referee: [Cube case for K=C] Cube case for K=C (derivation of weighted escape from Ball's plank theorem): the identification C^n ≅ R^{2n} must explicitly preserve the affine weighting by row ℓ_q-norms and the entrywise modulus inequality |Ax| ≥ e; without controlling phase factors in the ℓ_∞-ball geometry, the claimed sharpness for |A|e = n e may fail to hold.

    Authors: We are grateful for this comment, which helps us improve the clarity of the complex case. The identification C^n ≅ R^{2n} is achieved by viewing each complex vector as a real vector in 2n dimensions, with the linear map A extended to a real 2n x 2n matrix by separating real and imaginary parts. The affine weighting is preserved because the row ℓ_q-norms are computed from the absolute values |a_ij|, which remain unchanged. The inequality |Ax| ≥ e is directly incorporated into the escape condition by considering the modulus vector. Phase factors are controlled by noting that for the purpose of the conjecture, we can multiply the components of x by suitable phases (unit complex numbers) to make the products a_j · x real and positive, without changing ||x||_∞ or |Ax|, since the ℓ_∞ norm is phase-invariant and |Ax| depends on moduli. This ensures the sharpness when |A|e = n e. However, we acknowledge that the manuscript could benefit from more explicit details on this step. Therefore, we will add a clarifying paragraph or lemma in the revised version explaining the realification and phase alignment. This is a partial revision. revision: partial

Circularity Check

0 steps flagged

Derivation from external Ball plank theorem is self-contained with no load-bearing self-references or reductions

full rationale

The central proof derives a weighted affine escape principle directly from the externally cited Ball 1991 plank theorem (Invent. Math. 104), applying it to the matrix condition |A|e = n e for both real and complex fields. No equations reduce by construction to fitted parameters, no self-citations justify uniqueness or ansatzes, and the cube-case implication ||x||_∞ ≤ 1 and |Ax| ≥ e is obtained by explicit adaptation rather than renaming or tautology. The complex identification C^n ≅ R^{2n} is presented as a geometric step controlled by the cited theorem's hypotheses, not as an internal loop. This satisfies the criteria for an independent derivation chain.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on applying Ball's plank theorem, a known result in convex geometry, to derive the escape principle; no free parameters or new entities are introduced.

axioms (1)
  • standard math Ball's plank theorem as stated in Invent. Math. 104 (1991)
    Invoked directly to obtain the weighted affine escape theorem for the matrix setting.

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Reference graph

Works this paper leans on

41 extracted references · 41 canonical work pages

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