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Normal density states and spectral moments — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Banach Alaoglu Goldstine and Krein Milman
- Banach Algebras Spectrum and Holomorphic Functional Calculus
- Banach Valued Integration and the Radon Nikodym Property
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compact Operators and Riesz Schauder Theory
- Compact Self Adjoint Hilbert Schmidt and Trace Class Operators
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Coordinate and Path Transport
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Norms and Realification
- Complex Power Series and Analytic Functions
- Complex Subspace Realification
- Complexification, Realification and Real Structures
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Computational foundations: factorization, KL, and optimization
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Connectedness
- 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
- Continuous Functional Calculus for Self Adjoint and Normal Operators
- Contour Integration
- Convergence: Nets and Filters
- Convexity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- 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
- Domination and Likelihood Ratios
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Ensembles And Limits
- Filters and Ultrafilters
- 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
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gelfand Theory and Commutative C Star Algebras
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hausdorff via the Diagonal
- 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
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Minimax Lower Bounds
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal density states and spectral moments
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Pointwise Extended-Real Function Products
- 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
- Qm Composites Entanglement And Reduced States
- Qm Math Composites
- Qm State Geometry
- Radon Measures and the Riesz Markov Kakutani Theorem
- 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
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Spectral Measures and Borel Functional Calculus
- Splitting Fields
- Square-Integrable Kernels and Hilbert–Schmidt Compactness
- Stone–Weierstrass in General
- 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 Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- 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 Fundamental Theorems of Calculus
- The Galois Correspondence
- The Integral Logarithm and the Equivalence of Its Characterisations
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Unbounded Self Adjoint Operators and Stones Theorem
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
These examples use the finite matrix and trace-class normal-state conventions of qsm-states-ensembles. Each calculation specifies its state, Hamiltonian or measured observable and applies only the stated preparation/measurement assumptions.
| Example | Exact comparison |
|---|---|
| Pure entanglement and correlated mixtures | A pure Bell state and a classically correlated mixture have the same maximally mixed marginals but different global entropy, separability, and a joint-observable probability law. |
| Oscillator trace Gibbs and divergent normalization | A one-mode diagonal oscillator has a summable trace Gibbs state at every ; an infinite-dimensional zero Hamiltonian has no trace-class Gibbs exponential. |
| Two-level Gibbs and noncommuting susceptibility | A two-level transverse static response is , strictly below when the Hamiltonian and control observable do not commute. |
The normal-state Born rule and the canonical preparation rule are adopted model assumptions. The computed probabilities, entropies, and susceptibilities are deductions within those models, not reported laboratory outcomes. The oscillator formula uses its explicit diagonal domain and the actual trace-class condition; a lower energy bound alone does not normalize an infinite-dimensional Gibbs operator.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Pure entanglement and correlated mixtures
Exact two-qubit state, marginal, entropy and sharp-observable probability calculations under the adopted normal-state Born interpretation; no apparatus or experimental outcome is asserted.
Example
With as fixed by Quantum spectral entropy and relative-entropy domains, for two qubits with basis , compare the Bell pure state , with density , and the classically correlated mixture Both states have marginals and hence marginal entropy . The global entropies differ: The Bell pure state is entangled for the declared two-qubit splitting; the mixture is separable. The dimensionless Hermitian observable has outcome with probability in , and probabilities for in . These are exact predictions of the adopted measurement model, not reports of an apparatus.
Facts & Assumptions
Given: The declared splitting , the two density operators above, the finite partial trace, the positive entropy scale in J/K, the entropy convention , and the normal-state Born interpretation.
The Axiom of Choice and The Axiom of Countable Choice (): retain the choice assumptions of the imported separability, spectral and normal-state supplier closure.
Product vectors, separable states and entangled states of a two-factor composite: separable states are the trace-norm closed convex hull of pure product states, and entangled means outside that set for the declared splitting.
Pure-state separability is equivalent to being a product: a Schmidt overlap witness: a pure state is separable exactly when its unit vector is a product vector.
Partial trace over a finite tensor factor, The partial trace is characterized by the trace pairing and is basis-independent, and The partial trace preserves non-negativity and total trace: the finite partial trace is characterized by the trace pairing, sums the matching diagonal factor indices in a product basis, and preserves positivity and trace.
Quantum spectral entropy and relative-entropy domains and Finite mixing, product entropy, and bipartite subadditivity: finite entropy is the spectral sum , and finite reduced-state entropies obey subadditivity.
Normal-state quantum measurement interpretation: the adopted sharp-measurement probabilities are for spectral projections .
Proof
Under the retained choice hypotheses [A1], the imported pure-state criterion applies. Suppose , where and . Comparing coefficients with gives but . The first pair makes all four factors nonzero, contradicting the second pair. Thus is not a product vector, so [F2] makes entangled under the exact definition [F1].
In the product basis, the partial-trace rule [F3] removes and , since the traced factor basis indices differ, and retains the two diagonal terms. Therefore both reductions of are ; positivity and trace preservation in [F3] make them density matrices. The mixture already has only diagonal terms, and tracing either factor likewise gives . The spectrum of is , whereas that of is ; each marginal has spectrum . Substituting these eigenvalues into the entropy definition [F4] gives the displayed three entropy values. In particular both pairs obey the finite subadditivity inequality in [F4].
The mixture is the convex combination with weights of the two pure product densities and ; hence it lies in the finite convex hull in [F1] and is separable. Put ; then , and vanishes on the orthogonal span of . The Bell state is , so [F5] assigns probability one to . Each of has squared overlap with each of , so the equal mixture gives probability to each of and zero to .
Oscillator trace Gibbs and divergent normalization
Exact canonical formulas for a one-mode diagonal oscillator model and a contrasting infinite-degeneracy model; no measured values or universal normalization claim.
Example
On , take to be the standard orthonormal basis and define the oscillator Hamiltonian with , . Its eigenvalues have units J. For in J, put and . The canonical trace and state are finite and By contrast, on an infinite-dimensional space with , is not trace class, so there is no normalized trace Gibbs density. The preparation in the first model is adopted by Canonical quantum thermal preparation; no experiment is reported.
Facts & Assumptions
Given: The specified diagonal operator, , in J/K, the canonical preparation rule, and the definitions of trace class and normal density.
The Axiom of Choice: the general trace-Gibbs variational branch retains full Choice; the explicit diagonal construction itself uses the given countable basis.
Trace class operator: a positive diagonal operator is trace class exactly when its nonnegative eigenvalue series is summable.
Trace-class normal density states: a positive trace-class operator of trace one is a normal density state.
Quantum spectral entropy and relative-entropy domains: the von Neumann entropy is the spectral sum , with .
Canonical quantum thermal preparation: an actually normalizable canonical model adopts .
Self-adjoint trace-Gibbs normalization and form-energy optimization: under the self-adjoint, lower-bound, trace-class/open--interval and finite-energy hypotheses, the Gibbs density has the stated energy-entropy identity and variational meaning.
Proof
Let . Finite-support vectors lie in , so the domain is dense. Since each is real, the diagonal operator is symmetric. If , there is such that for every . Testing gives , so , which is exactly . Conversely, if this sequence is square summable, Cauchy–Schwarz gives for every . Thus and .
The diagonal exponential has eigenvalues . The finite geometric sum identity and give , so . Set in J. For any compact inverse-energy interval , the dimensionless terms are bounded by . The ratio of consecutive terms of this last series tends to , so it is summable. Since for , this gives finite trace and first and second energy moments after multiplying the corresponding bounds by or . Hence [F1] and [F2] make a normal density, and [F4] identifies it with the adopted canonical preparation.
The normalized weights are . Absolute convergence permits subtracting the two convergent series to get ; therefore . This gives . Also , so summing using [F3] yields . Replacing by gives the displayed formulas. The direct sums verify the moment hypotheses of [F5], whose energy-entropy identity agrees with this calculation.
For on an infinite-dimensional , every basis vector is an eigenvector of with eigenvalue one. Their eigenvalue sum diverges, so [F1] says is not trace class. Its trace cannot be normalized to a finite partition function, establishing the contrasting failure without assuming a lower-bound-only Hamiltonian is normalizable.
Two-level Gibbs and noncommuting susceptibility
Exact finite two-level canonical model with a static transverse control; response is a model prediction and not an experimental measurement.
Example
Take the two-dimensional Hilbert space with Hamiltonian , , and . The control has units J so that is an energy. At fixed , put , , and define . The finite canonical response is At , the variance in the canonical state is , so . The strict reduction from ordinary variance is a finite noncommuting quantum response; it makes no experimental claim.
Facts & Assumptions
Given: , , the specified two-level Hamiltonian, and the finite canonical preparation at each real .
Static finite quantum response and covariance: the canonical static susceptibility is , is nonnegative, and is bounded above by , where the ordinary variance is ; equality with ordinary variance requires commutation.
Proof
Write . Direct matrix multiplication gives and . Splitting the exponential power series into even and odd powers therefore gives , hence . Also , so . Dividing by and taking yields .
At , the Gibbs density is diagonal in the displayed basis, so . By the ordinary variance definition in [F1], . The commutator of with has nonzero off-diagonal entries for , so the commuting equality case in [F1] does not apply. Finally, for , because the integrand is strictly positive for . Thus . At the zero-gap boundary, , so the response tends to the commuting value .
Sources
- John Watrous, The Theory of Quantum Information, Chapter 2, §§2.1–2.3, author-hosted manuscript
- John Watrous, The Theory of Quantum Information, Chapter 5, §5.2, author-hosted manuscript
- Mehran Kardar, Statistical Mechanics I, MIT OpenCourseWare, Lecture 21, Quantum Microstates and Quantum Macrostates
- Mehran Kardar, Statistical Mechanics I, MIT OpenCourseWare, Lecture 23, Canonical and Grand Canonical Formulations
- Zhang Jiang, Quantum Fisher information for states in exponential form, arXiv:1310.2687v3, §II, equations (2.1)–(2.14)