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.
Finite tensor density, observable and measurement language — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- 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
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Finite Counting, Factorials and Binomial Coefficients
- Finite tensor density, observable and measurement language
- Foundations of the Real Numbers for Analysis
- Free Modules, Exact Sequences, Projective and Injective Modules
- 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
- 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
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Pure and Mixed States, Ensembles, and Schmidt Decomposition
- Registers, Tensor Products, and Partial Trace
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- 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
- Suprema and Infima
- Tensor Products of Modules
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Logarithm and General Powers
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
These mathematical counterexamples establish three separate limits on ensemble language: an exact mean-energy band can be empty at zero width; agreement of entropy density does not force a one-site state to converge; and equality of every proper fixed-size marginal does not force global trace-norm convergence. Their states and measurements are finite matrix constructions, not claims about laboratory preparations or empirical frequencies.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
A centered exact band can be empty
Statement
There are two-level additive data and a canonical mean for which every zero-width band centered at that mean is empty. Consequently a normalized uniform band density is not defined for that choice.
Facts & Assumptions
Given: The finite additive ensemble convention in Additive spectral Hamiltonian and normalized ensembles.
Additive spectral Hamiltonian and normalized ensembles: the second canonical probability is and the -site energy label with occurrences of level has energy .
Proof
Take , , , and choose finite with . By [F1], This number is irrational: if were rational, writing it as a reduced fraction gives , so is even, then is even, contradicting reduction. Hence is irrational.
For any integer , an -site label has energy for some integer , whereas the canonical mean is . The zero-width band condition forces , hence . Since is irrational, is not an integer. Thus no label satisfies the condition, , and is undefined. This shows why a nonemptiness or positive width hypothesis cannot be omitted.
Entropy density agreement does not force local state agreement
Statement
For a finite Hermitian matrix , write for its trace norm: the sum of the absolute values of its eigenvalues, counted with multiplicity.
For the canonical densities of Additive spectral Hamiltonian and normalized ensembles with , and any fixed finite , there are finite density sequences whose dimensionless entropy per site has the same limit as while their one-site reduced states remain separated from its one-site marginal by a fixed trace norm.
Facts & Assumptions
Given: The finite tensor density, reduced-state, and spectral entropy conventions of Finite tensor density, observable and measurement language, Subsystem expectations and reduced finite tensor densities, and Dimensionless entropy of a finite density matrix.
Dimensionless entropy of a finite density matrix: a density with positive eigenvalues has entropy .
Subsystem expectations and reduced finite tensor densities: the one-site reduction is the partial trace over all remaining factors.
Additive spectral Hamiltonian and normalized ensembles: for the stated zero levels, , , and the canonical density is .
Proof
On , the supplier [F3] identifies the stated canonical one-site density as and its -site density as . For each , set and . Both are positive of trace one, so are finite tensor densities. Their positive eigenvalues are respectively with multiplicity and with multiplicity . By [F1], and ; therefore .
By [F2], the one-site reductions are and . Their difference in the ordered basis is , whose eigenvalues have absolute sum one. Thus for every . Entropy-density agreement alone therefore does not imply local trace-norm convergence.
Fixed marginals do not determine global trace-norm convergence
Statement
For a finite Hermitian matrix , write for its trace norm: the sum of the absolute values of its eigenvalues, counted with multiplicity.
For every there are diagonal densities on binary registers whose every proper fixed-size marginal equals the corresponding maximally mixed marginal, while their global trace-norm distance remains one. A global two-outcome POVM has first-effect trace pairings differing by .
Facts & Assumptions
Given: The finite tensor density and partial-trace conventions of Finite tensor density, observable and measurement language and Subsystem expectations and reduced finite tensor densities.
Subsystem expectations and reduced finite tensor densities: reduced density entries are obtained by summing over the traced product labels.
Finite tensor density, observable and measurement language: a finite POVM is a family of positive matrices summing to the identity.
Proof
For , index each binary factor's ordered basis by ; a string has even parity when is even. Let be the diagonal matrix with entry on even strings and zero on odd strings, and let . There are even strings: the first bits can be arbitrary and the last bit is uniquely determined. Thus both matrices are nonnegative of trace one. Fix coordinates and their values. Among the unassigned coordinates, exactly half of the completions have the required parity, namely . Summing by [F1], the marginal diagonal entry of each fixed -bit string is ; all off-diagonal entries vanish. Thus for every proper block.
On an even string the diagonal difference is ; on an odd string it is . There are strings in total, so the absolute eigenvalues sum to . Therefore for every .
Let be the diagonal matrix with entry one on even strings and zero on odd strings. Both and are nonnegative and sum to , so they form a two-outcome POVM by [F2]. Their first-effect trace pairings are and , a gap of . Hence equality of all proper local marginals does not entail global trace-norm convergence or equality of global POVM trace pairings. This is a mathematical separation; no physical probability interpretation is adopted.
Sources
- David Tong, Statistical Physics, §§1.2–1.3
- Daniel Arovas, Lecture Notes on Thermodynamics and Statistical Mechanics, §§4.2–4.3
- John Watrous, The Theory of Quantum Information, §§5.2.2–5.2.3
- Daniel Arovas, Lecture Notes on Thermodynamics and Statistical Mechanics, §4.4.5
- John Watrous, The Theory of Quantum Information, §§2.1.2–2.3
- John Preskill, Quantum Computation, Chapter 2, §§2.3–2.3.1