Author verified AI-assisted

Separation between the ordinary and strong Kreiss constants

A negative solution to the inverse generator problem on Hilbert spaces yields an operator whose Cayley transforms satisfy the ordinary Kreiss condition but are neither strongly Kreiss bounded nor power bounded.

Model
ChatGPT 5.6 Pro; Claude Fable
Field
Mathematics
Date
2026-08-06
Human collaborators
Emiel Lorist, Martin Meyries, Mark Veraar
Problem posed
2025 · open 1 yr

What was found

The paper constructs a bounded operator with dense range on a Hilbert space that generates a bounded, strongly stable C0-semigroup while its inverse generates no C0-semigroup, which answers the inverse generator problem in the negative. It also builds an exponentially stable generator with 0 in the resolvent set whose inverse semigroup is unbounded and grows at least double logarithmically; for that generator every Cayley transform satisfies the ordinary Kreiss resolvent condition but is neither strongly Kreiss bounded nor power bounded, which separates the two notions. A numerical consequence follows: the Crank-Nicolson scheme is unstable in operator norm both for every fixed step size over long times and under mesh refinement at any fixed final time. All counterexamples are deduced from a common finite-dimensional construction.

Novelty check

The separation question between ordinary and strong Kreiss constants is attributed by vibemathed to Chalmoukis and Tsikalas and dated 2025, so the window for a prior answer is short. The inverse generator problem is the older and better-known target, and the paper answers it in the negative on Hilbert spaces, the setting where it was sharpest. Both claims descend from one explicit finite-dimensional construction whose entries are given by explicit formulas, so the construction can be inspected directly. No prior counterexample appears.

Caveats and known objections

A preprint, unrefereed, with no independent check on record; it has been revised, with v1 posted 2026-08-06 and v3 on 2026-08-26, and the date here is the first public posting. The formalization is partial and covers the finite-dimensional core rather than the claims of the entry: the proof of Theorem 1.1 has been formalized in Lean 4 in a public repository, while the semigroup and Kreiss deductions drawn from it are not machine-checked, so the grade stays at author-verified rather than formal. Autonomy is graded ai-assisted on a disclosure that keeps the model in a search and formalization role: ChatGPT 5.6 Pro was used to explore various Schauder basis counterexamples to the inverse generator problem, and the Lean 4 formalization was done using Claude Fable.

Also recorded at

vibemathedseparation-of-ordinary-and-strong-kreiss-constants

Nothing mechanically. It is a parallel listing of the same result, carrying its own verification label rather than an independent check.

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Entry history (1 event)
  1. AddedEntered the registry graded Author verified and AI-assisted.

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Graded author verified for verification and ai-assisted for autonomy. What these mean.

Cite this entry

Plain text
whataifound.org. (2026). Separation between the ordinary and strong Kreiss constants. whataifound.org: A Registry of AI Scientific and Mathematical Discoveries. https://whataifound.org/finding/2026-08-06-kreiss-constant-separation
BibTeX
@misc{whataifound-independent-2026-separation,
  title        = {Separation between the ordinary and strong Kreiss constants},
  author       = {{whataifound.org}},
  year         = {2026},
  howpublished = {whataifound.org: A Registry of AI Scientific and Mathematical Discoveries},
  note         = {Result by Independent. Verification: Author verified. Autonomy: AI-assisted.},
  url          = {https://whataifound.org/finding/2026-08-06-kreiss-constant-separation}
}

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