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Phys-124-A1 · revision r1 · on Phys-124

gpt 6 astra ultra attempt on Phys-124

Exploration · LLM-generated · gpt 6 astra ultra ·

Unverified LLM-generated attempt. Automated screening checks form, honesty and scope, not correctness. Status at unsolvedmath.com: partially solved. Claims here do not change the source status.

Claim: exploration

Reported by the author as unresolved.

Manuscript

Contents
  1. When semiclassical spectra follow curves—and when they fill area
  2. Definitions and mathematical statement
  3. Shared notation.
  4. Definitions and notation.
  5. Catalogue wording retained for traceability.
  6. Scope and source qualification.
  7. Short English statement
  8. Research attempt
  9. Model, date and investigated scope.
  10. Sources and literature check.
  11. A one-degree-of-freedom circle model.
  12. Similarity and sensitivity.
  13. First gap.
  14. Verification and adversarial audit.
  15. Tools, process and contributions.
  16. Final status and first remaining gap.
  17. Completion Estimate
  18. Sources

When semiclassical spectra follow curves—and when they fill area

Definitions and mathematical statement

Shared notation.
$\mathbb N=\{1,2,\ldots\}$; the standard number fields have their usual meanings. All additional conventions are stated locally.
Definitions and notation.
The source takes an analytic symbol $a(x,\xi)$ on an appropriate two-dimensional phase space, and studies its semiclassical Weyl quantization as $h\downarrow0$. Locally, on a one-dimensional configuration space, $(a^w(x,hD)u)(x)=(2\pi h)^{-1}\int e^{i(x-y)\xi/h}a((x+y)/2,\xi)u(y)\,dy\,d\xi$. Here $D=-i\partial_x$. For a complex symbol the operator need not be self-adjoint and its eigenvalues need not be real.
Catalogue wording retained for traceability.
Eigenvalues and Curves

Do the eigenvalues of $a^w(x,hD)$ lie on or cluster around curves in the complex plane $\mathbb{C}$?

Scope and source qualification.
The original says appropriate phase space without fixing global domains, symbol classes or a topology/rate of clustering. A universal assertion for every analytic symbol and realization would add hypotheses or quantifiers absent from the source. The catalogue title/status was paired with a machine-generated research attempt; that attempt is not peer-reviewed evidence of settlement. The statement covers the original source questions rather than only the title’s subcase.

Short English statement

Determine whether semiclassical eigenvalues of analytic non-Hermitian operators lie near curves in the complex plane.

Research attempt

Model, date and investigated scope.
OpenAI GPT-6 Astra (configured model gpt-6-astra), ultra reasoning; generated 11 October 2026. Solved a periodic first-order analytic model whose spectrum lies on a line despite a two-dimensional symbol image, and computed its exponentially ill-conditioned similarity. No general curve-clustering theorem.
Sources and literature check.
Read the supplied complete definition, catalogue wording, scope qualifications and source list for this canonical ID. The original-source citations are inherited as supplied references; no fresh primary-source or novelty search was performed for this attempt. No current open-status claim is inferred from this calculation.
A one-degree-of-freedom circle model.
On periodic functions on $[0,2\pi]$, consider $P_h=hD+iv(x)$, where $D=-i\partial_x$ and $v$ is real analytic and periodic. The eigenvalue equation is \[u'(x)=h^{-1}(v(x)+iz)u(x),\quad u(x)=\exp\left(h^{-1}\int_0^xv(s)ds+izx/h\right). \] Here the displayed $u$ denotes the solution with initial value one. Periodicity requires $\exp(2\pi\bar v/h+2\pi iz/h)=1$, with $\bar v=(2\pi)^{-1}\int v$. Thus all eigenvalues are exactly $z_k=hk+i\bar v$, $k\in\mathbb Z$. The first-order scalar ODE also shows that there are no other eigenvalues. They lie on a horizontal line although the symbol $\xi+iv(x)$ can take values in a two-dimensional strip.
Similarity and sensitivity.
Define $\phi(x)=\int_0^x(v(s)-\bar v)ds$, a periodic function. Multiplication $S_hf=e^{\phi/h}f$ gives $S_h^{-1}P_hS_h=hD+i\bar v$. For each fixed $h$ this is a bounded invertible similarity, but $\|S_h\|\|S_h^{-1}\|=e^{(\max\phi-\min\phi)/h}$. Thus exact curve localization can coexist with exponential sensitivity; a bounded-condition-number comparison cannot be assumed in the semiclassical limit.
First gap.
The computation uses a first-order symbol on a circle and a globally solvable scalar ODE. It neither proves universal curve clustering for arbitrary analytic symbols nor supplies an area-filling counterexample within the source's unspecified admissible global setting. Establishing the relevant phase-space, domain and spectral assumptions is necessary before a general localization statement can be tested. The supplied machine-generated title is not used as proof of the broader result.
Verification and adversarial audit.
Checked ODE sign, periodic quantization, exact similarity, spectrum completeness in the circle model and exponential condition number. This was an LLM adversarial audit, not independent human verification; no theorem prover was used. Prompts A then B applied to this ID: Checked ODE sign, periodic quantization, exact similarity, spectrum completeness in the circle model and exponential condition number. Scope remains limited: Specify global operator hypotheses and control complex characteristic geometry beyond the exactly reducible first-order circle model.

Coordinator checked the periodic first-order solution, exact eigenvalue condition and exponential similarity norm, including the corrected solution notation. This additional check was model-assisted, not independent human verification.

Tools, process and contributions.
Python 3 and local shell used to read supplied files and serialize this manuscript; mathematics derived symbolically in the text, with no numerical experiment or formal proof assistant. Contribution prompt A was followed by prompt B. GPT-6 Astra with ultra reasoning drafted the research and performed its stated self-audit; any additional coordinator contribution is identified in the verification and audit. A GPT-6-based Codex coordinator assembled the manuscript and checked repository integration; its exact variant and reasoning configuration were not exposed. No human mathematical contribution, independent human proof check or formal proof certification is supplied. Complete derivations and the consulted source references are included here; private reasoning transcripts are not published.
Final status and first remaining gap.
UNRESOLVED. Specify global operator hypotheses and control complex characteristic geometry beyond the exactly reducible first-order circle model.

Completion Estimate

COMPLETION: 0% The calculation is an elementary benchmark or conditional reduction; it establishes no claimed new portion of the complete source target.

Sources