A self-dual factorization of an irreducible thermal process
Abstract
A five-level self-dual irreducible extreme thermal process factors into two extreme processes acting on fewer levels, refuting the non-self-duality conjecture.
Definition 1.1 (Thermal processes).
Formalization. D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.thermalProcesses (✓ std3).
Citation. Paweł Mazurek; Michał Horodecki (2018). Decomposability and convex structure of thermal processes. DOI: 10.1088/1367-2630/aac057. URL: https://arxiv.org/abs/1707.06869v2.
Commentary.
For a natural dimension d and a real Gibbs vector g on Fin d, a thermal process is a matrix T whose columns are stochastic and which preserves g. This is the Gibbs-preserving column-stochastic characterization stated in the source paper.
Definition 1.2 (Processes acting on fewer levels).
Formalization. D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.actsOnFewerLevels (✓ std3).
Citation. Paweł Mazurek; Michał Horodecki (2018). Decomposability and convex structure of thermal processes. DOI: 10.1088/1367-2630/aac057. URL: https://arxiv.org/abs/1707.06869v2.
Commentary.
A process acts non-trivially on at most d minus one levels when it fixes at least one level k, expressed by the diagonal entry T k k being one. This is the source paper’s condition for a process acting on a proper subspace.
Definition 1.3 (Self-duality).
Formalization. D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.selfDual (✓ std3).
Citation. Paweł Mazurek; Michał Horodecki (2018). Decomposability and convex structure of thermal processes. DOI: 10.1088/1367-2630/aac057. URL: https://arxiv.org/abs/1707.06869v2.
Commentary.
Self-duality with respect to the Gibbs weights is the detailed-balance relation T i j times g j equals T j i times g i for every pair of levels. It is equivalent to equality with the conjugated transpose in the source paper.
Definition 1.4 (Irreducibility).
Formalization. D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.irreducible (✓ std3).
Source. Repository-derived.
Acknowledgement. Paweł Mazurek; Michał Horodecki (2018). Decomposability and convex structure of thermal processes. DOI: 10.1088/1367-2630/aac057. URL: https://arxiv.org/abs/1707.06869v2.
Commentary.
Irreducibility reads the phrase not a direct sum as the absence of a nonempty proper set S whose two sides have all cross-block entries zero. Here Sᶜ denotes the complement in the finite level set Fin d.
Definition 1.5 (The non-self-duality conjecture).
Formalization. D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.claim (✓ std3).
Citation. Paweł Mazurek; Michał Horodecki (2018). Decomposability and convex structure of thermal processes. DOI: 10.1088/1367-2630/aac057. URL: https://arxiv.org/abs/1707.06869v2.
Commentary.
The source conjectures that an extremal thermal process C on d levels, factored as C = A B with extremal factors each fixing a level, cannot be self-dual when C has no direct-sum decomposition across a nonempty proper set of levels. The formal statement assumes d is at least two, all Gibbs weights are positive and pairwise distinct, and the weight at level zero is maximal.
Theorem 1.6 (A five-level refutation).
Proof. Machine-checked in Lean as D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.result (✓ std3). ∎
Resolves. Problems/mazurek-horodecki-2018-thermal-process-self-dual-factorization-refutation (refuted) by D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.result.
Source. Repository-derived.
Acknowledgement. Paweł Mazurek; Michał Horodecki (2018). Decomposability and convex structure of thermal processes. DOI: 10.1088/1367-2630/aac057. URL: https://arxiv.org/abs/1707.06869v2.
Commentary.
Set d = 5 and use the Gibbs weights (8, 7, 4, 2, 3). Let A be the matrix with rows (0, 1, 0, 1/2, 0), (1/4, 0, 1, 1/2, 0), (1/2, 0, 0, 0, 0), (1/4, 0, 0, 0, 0), (0, 0, 0, 0, 1); it acts on levels 0 through 3 and fixes level 4. Let B have rows (1, 0, 0, 0, 0), (0, 1/7, 1, 1, 0), (0, 1/7, 0, 0, 1), (0, 2/7, 0, 0, 0), (0, 3/7, 0, 0, 0), so it fixes level 0. Their product is C = A B, with rows (0, 2/7, 1, 1, 0), (1/4, 2/7, 0, 0, 1), (1/2, 0, 0, 0, 0), (1/4, 0, 0, 0, 0), (0, 3/7, 0, 0, 0). Each of A, B and C is nonnegative, column-stochastic and preserves the Gibbs weights. Each is extreme by support uniqueness: in a convex combination, every factor has zero entries wherever the matrix has a zero entry, and the column sums together with Gibbs preservation determine all remaining entries uniquely. The non-loop support edges of C are 0–1, 0–2, 0–3 and 1–4, so C is irreducible. Finally, C satisfies detailed balance: C times the diagonal matrix of the Gibbs weights is symmetric. Thus the factorization satisfies every hypothesis of claim while its conclusion fails.
References
- Truth anchor:
D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.actsOnFewerLevels - Truth anchor:
D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.claim - Truth anchor:
D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.irreducible - Truth anchor:
D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.result - Truth anchor:
D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.selfDual - Truth anchor:
D5/S3/StatisticalMechanics/ThermalProcessSelfDualFactorizationRefutation.thermalProcesses