arXiv:2606.28295v1

Equilibrium as a Limit: The Competitive Canon Nested in an Adaptive, Information-Theoretic Economy

Avishek Bhandari

econ.TH91B5091B5294A1737A3591A22

Abstract

The competitive equilibrium of general equilibrium theory exists as a fixed point and is, by the theorys own results on aggregate excess demand, in general silent on whether that fixed point is unique, stable, or attained. This paper takes the economy to be not a configuration to be solved for but a process to be recovered, an asymptotically mean stationary information source carrying a partially identified operator of statistical dependence, populated by agents that are finite-capacity information channels. Within this adaptive order the competitive, rational expectations equilibrium is recovered exactly, as a joint limit taken along an explicit scaling path. Three parameter limits and two fixed-point conditions deliver it, the entropy rate falls to zero, agent channel capacity diverges, selection intensity grows infinitely sharp, adaptive learning reaches its expectationally stable rest point, and the recovered structure ceases to coevolve. At that corner the limiting object satisfies the axioms of the canon and its rest state is a Walrasian equilibrium, away from it the adaptive economy is a strict generalisation, carrying a positive entropy rate and a recovered dependence structure that the equilibrium primitive cannot express. We give the nesting as a theorem, establish the result by result correspondence with existence, with the Sonnenschein Mantel Debreu indeterminacy, and with the regular economies recovery, and characterise exactly what the equilibrium limit erases.

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Not a correctness certificate. A “Correct” result may include yellow typos or minor formal corrections that do not affect substantive soundness. It means this audit found no unresolved substantive error under the stated criteria; it does not replace expert scrutiny or formal verification.

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Detailed mathematical audit

Generated August 18, 2026
01Statements3 reported findingsContains wrong statements

Several formal claims used by the proposed nesting theorem are false or not mathematically specified. In particular, arbitrary random preference relations are not equivalent to random utilities, and the claimed universal eigenpair-recovery threshold is not a valid spiked-covariance theorem.

Definition 6Incorrect

Random relations are not equivalent to random-utility fields

Page 8 · Definition 6 · arXiv:2606.28295v1

A scalar utility function u:XRu:X\to\mathbb R induces the complete transitive relation aba\succeq b exactly when u(a)u(b)u(a)\geq u(b). A probability law on such functions can therefore represent only stochastic choices arising from mixtures of complete transitive rankings and obeying the associated random-utility constraints. Definition 6 allows arbitrary binary relations, explicitly including intransitive cycles and context-dependent reversals, and then calls a random-utility representation 'equivalent.' For three alternatives, the deterministic cycle abcaa\succ b\succ c\succ a is an immediate counterexample: no real-valued uu can satisfy all three strict inequalities.

Full paper, version 1
Proposition 5(iv)Incorrect

The eigenpair threshold and consistency claim are not universal

Pages 7–8 · Proposition 5(iv) and proof sketch · arXiv:2606.28295v1

The paper asserts recovery whenever λmax>νd/N\lambda_{\max}>\nu\sqrt{d/N} without specifying a covariance model, normalization, aspect-ratio limit, or bulk spectrum. Even in the standard rank-one spiked covariance model with d/Nc>0d/N\to c>0, the BBP transition is expressed relative to the bulk covariance, and above threshold the empirical eigenvector has a limiting overlap strictly below one for a fixed spike; it is not a consistent estimator of the population eigenvector. Thus neither the threshold nor the stated conclusion follows from the cited phase transition.

Theorem 11Not able to verify

The hypotheses do not imply a Walrasian equilibrium

Pages 11–13 · Theorem 11 and Lemma 12 · arXiv:2606.28295v1

Conditions (A1)–(A4) concern a Lyapunov function, selection, learning, and structural fixity. No commodity space, endowments, budget correspondence, excess-demand function, or market-clearing condition is defined in the theorem. The proof nevertheless adds 'satisfying the market-clearing conditions' only at the conjunction step. That conclusion is not a formal consequence of the listed assumptions. Lemma 12 likewise invokes uniform convergence in the other parameters, but Definition 10 and (A1)–(A4) contain no such uniformity hypothesis.

02Proofs2 reported findingsContains incorrect or incomplete proofs

The central arguments are proof sketches that assume the conclusions they need: a covariance is identified with an unspecified operator, market clearing appears without a model that defines it, and path independence is deduced from uniform convergence that was never assumed or established.

Proof of Proposition 5Incorrect or incomplete

Second-order comovement does not identify the asserted operator without a forward model

Pages 7–8 · proof sketch of Proposition 5 · arXiv:2606.28295v1

A covariance form is a positive self-adjoint operator, but the paper's directed dependence operator T^\widehat T is introduced independently. No equation maps T^\widehat T to the observed covariance. Consequently, the sentence that covariance 'determines, and is determined by' (T^+T^)/2(\widehat T+\widehat T^\top)/2 is an additional identification assumption, not a proof. The later resolvent and finite-sample claims therefore have no defined statistical experiment from which they can follow.

Proof of Theorem 11 and Lemma 12Incorrect or incomplete

The limiting conclusion is inserted rather than derived

Pages 28–29 · proofs of Theorem 11 and Lemma 12 · arXiv:2606.28295v1

Laplace concentration of a finite Gibbs law proves only choice concentration at a unique maximizer; it does not construct prices or prove feasibility and market clearing. The final paragraph simply declares those missing properties. The Moore–Osgood interchange in Lemma 12 requires uniform convergence or joint continuity at the corner, but the proof asserts both without deriving them from the standing assumptions.

03Novelty0 reported findingsNo non-novelty findings

No non-novelty findings.

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Paper
arXiv:2606.28295v1
Authors listed
Avishek Bhandari
Audit date
August 18, 2026
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