How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Noncommuting entropy production and thermal secular models — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Entropy inequalities, recovery boundaries and thermal entanglement
- Filters and Ultrafilters
- Finite completely positive trace-preserving maps
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Foundations of the Real Numbers for Analysis
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fundamental Trigonometric Identities
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Knill–Laflamme Recovery and Subsystem Codes
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Metric Spaces
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Noncommuting entropy production and thermal secular models
- Normal density states and spectral moments
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Properties of the Integral and the Working FTC
- Pure and Mixed States, Ensembles, and Schmidt Decomposition
- Quantum Information Measures
- Quantum Relative Entropy, Data Processing, and Strong Subadditivity
- Registers, Tensor Products, and Partial Trace
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Splitting Fields
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Logarithm and General Powers
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Topology of Euclidean Space
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Trust region and cubic regularization methods
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
A two-level generator fixes many states
Statement refuted
Let and let be complex-linear maps on that are completely positive (each finite ancilla amplification preserves positive matrices) and trace-preserving ( for every ), with and for all . A density matrix means , for every , and ; it is faithful when for every nonzero . For a Hermitian matrix and , define and the Gibbs density . A density matrix is stationary for when for every . For a density matrix and faithful density , let , using the natural logarithm, the finite spectral logarithm on the support of , and . The claim refuted here is that nonincrease of relative entropy to a faithful stationary Gibbs density is sufficient to guarantee that the Gibbs density is the unique stationary density and that every initial density converges to it.
Statement references
Facts & Assumptions
Units convention: In the refuted Gibbs formula, is an energy matrix with entries in joules and is an inverse-energy parameter in joules, so is dimensionless. All real values of , including zero and negative values, are retained; no positive-temperature restriction is imposed.
Given: The space is with standard basis , , written ; denotes the matrix unit defined by . Let , joules, have units seconds, and have units joules. The generator acts on dimensionless matrices as . Time is in seconds. An initial density has the form with and .
Stationary finite quantum semigroups decrease relative entropy (this batch’s draft theorem; its current proof is presented here as a conditional input and remains subject to independent review): for a finite channel semigroup with a faithful stationary density, relative entropy to that density is nonincreasing.
Finite completely positive trace-preserving maps: a finite quantum channel is a complex-linear map that is completely positive and trace-preserving.
Finite GKSL generators and units: a finite GKSL generator on dimensionless matrices has Hamiltonian term and finite jump terms , with jump matrices in seconds.
Finite GKSL generates CPTP semigroups: a finite GKSL generator produces finite channel maps for every .
Every finite-dimensional normed space is Banach: every finite-dimensional normed space is complete.
The exponential series of a bounded operator: on a Banach space the operator exponential is given by its operator-norm convergent series.
Counterexample
Let , which is Hermitian and has units seconds, so . Substitution of and this jump into [F2] gives . Use the max-entry norm on ; the space is finite-dimensional and hence Banach by [F4]. Since is diagonal with entries , , so is bounded. Thus [F5] supplies the norm-convergent exponential series. By [F3] and [F1], this generator produces a finite channel semigroup.
Since , and , so the faithful Gibbs density is . Direct multiplication gives and , . Since , applying the exponential series [F5] to these four eigenmatrices yields . Every diagonal density is therefore stationary, including the faithful Gibbs density and the distinct density .
The hypotheses of [A1] hold by steps 1.1 and 1.2, so relative entropy to is nonincreasing in this example. Yet remains fixed and differs from for every . Hence the Gibbs density is not the unique stationary density, and this initial state does not converge to it, refuting both conclusions.
Remarks
The vertices are the chosen eigenvectors of , and the generator leaves their population coordinates fixed. Because , they belong to the same degenerate energy eigenspace. An arrow would represent a nonzero population-transfer rate; here no such arrow occurs, while the separate coherence mode decays exponentially.
\begin{tikzpicture}
\node (zero) at (0,0) {$|0\rangle$};
\node (one) at (3,0) {$|1\rangle$};
\node at (1.5,-0.7) {$\dot p_0=\dot p_1=0$};
\node at (1.5,0.7) {$\rho_{01}(t)=e^{-2\gamma t}\rho_{01}(0)$};
\end{tikzpicture}
The drawing records the population and coherence equations proved above; no proof step relies on it.