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Finite Statistical Bridge — 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
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Banach Algebras Spectrum and Holomorphic Functional Calculus
- Banach Valued Integration and the Radon Nikodym Property
- Bessel-Potential Completions and Real-Order Sobolev Spaces
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Cm Math Geometry
- 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 Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Power Series and Analytic Functions
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- 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
- Euclidean Surface Measure, Divergence, and Green Identities
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- Finite Statistical Bridge
- Foundations of the Real Numbers for Analysis
- Fourier Multipliers and Sobolev Characterisations
- Fourier Transform Convolution and Approximate Identities
- Fredholm Elliptic Problems and the Elliptic Spectrum
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- 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
- Harmonic Functions and Mean Values in Rn
- Hausdorff via the Diagonal
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- 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
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- 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
- 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
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Autonomous Dynamics
- Qm Framework And Quantities
- Qm Identical Particles And Exclusion
- Qm Many Body And Equilibrium Models
- Qm Massive Particle Kinematics
- Qm Math Composites
- Qm Math Coulomb
- Qm Math Fock And Equilibrium
- Qm Math Magnetic And Detection
- Qm Math Orbital And Spin
- Qm Math Oscillator
- Qm Observables And Born Probabilities
- Qm State Geometry
- Radon Measures and the Riesz Markov Kakutani Theorem
- Regular Surfaces and Surface Integrals
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Schwartz Space and the Plancherel Theorem
- 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
- Smooth Approximation and Sobolev Extension
- Smooth Partitions of Unity and Exhaustions
- 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
- Tempered Distributions and the Fourier Transform
- Tensor Products of Modules
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Branching Rule and the Young Graph
- 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 Divergence Theorem and Classical Stokes
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Fundamental Theorems of Calculus
- The Galois Correspondence
- The Group Algebra and Representations of Finite Groups
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Riemann Integral in Rᵐ and Jordan Content
- 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
- Thermodynamic Framework
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Unbounded Self Adjoint Operators and Stones Theorem
- Uniform Spaces: the Three Definitions
- Unitary Representations, Positive Type and GNS
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
- Weak Derivatives and Sobolev Spaces
2 · Summary
These examples calculate one-mode bosonic and fermionic weights, a two-site product law, divergence of the unrenormalized trace for countably many identical bosonic modes, and two frozen finite models that separate canonical preparation from dynamical equilibration. Each example states its own model and derives the claimed probabilities or state invariance from its declared prerequisites, including the assigned A-page items and, for the isolated quantum dynamics, the NRQM autonomous-evolution assumption and definition. The NRQM B-leaf examples are not proof premises. The examples are hypothetical calculations, not experimental observations.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
One bosonic and one fermionic mode at a specified temperature
An exact hypothetical canonical calculation for one bosonic oscillator mode and one fermionic two-level mode with beta times excitation energy equal to log 2; it is not a measurement or a thermalization claim.
Example
Assume AC and Countable Choice as required by Finite bosonic and fermionic mode partition and occupation formulas. Choose kelvins and excitation energy joules, so . Consider separately one bosonic mode with occupations and one fermionic mode with occupations .
Facts & Assumptions
Given: The declared one-mode systems, their positive excitation energy, and the adopted Gibbs preparation.
Finite bosonic and fermionic mode partition and occupation formulas: for , the bosonic partition trace is with mean , and the fermionic partition sum is with excited occupation ; these are conditional on its stated quantum preparation and suppliers.
SI quantities and unit conventions: is in kelvins, in , and in .
The selected energy is joules, and .
AC and Countable Choice are assumed through [F1] for the quantum Gibbs assignment and the supplied one-mode calculations.
Verification
Given: and the finite-mode identities in [F1].
The bosonic trace is , and the probability of occupation is . Its mean occupation is .
The fermionic partition sum is , so the ground and excited probabilities are and , respectively, and the mean occupation is . The bosonic and fermionic values belong to distinct declared models.
Two independent two-level sites give a product thermal law
A calculated two-site finite product model with additive energy and no interaction; it is not an observation or a claim about interacting sites.
Example
Let each site have states with energies , and take with . The composite has states and additive energy .
Facts & Assumptions
Given: Two finite sites, additive energy, common positive temperature, and canonical sampling.
Finite statistical microstate model: the composite state set is the Cartesian product and additivity of energy is explicit model data.
Finite canonical partition, energy, variance, entropy and free-energy identities: each finite canonical law has probabilities proportional to .
Partition, Gibbs-entropy and free-energy factorization for independent finite systems: under the explicit product and additive-energy assumptions, partition sums factor and the joint canonical law is the product of the two subsystem laws.
Set , hence the single-site excited-state weight is .
Verification
Given: The model data and .
Each site has and probabilities . By [F3], and the joint probabilities of are .
The expected total occupation is the sum of the two marginal means, , so the mean energy is . This conclusion follows for the declared noninteracting product model only.
Identical bosonic modes do not have a finite infinite-mode Gibbs trace
A countable family of independent identical bosonic modes at fixed positive excitation energy; the divergent positive trace rules out this particular normalized Gibbs density and says nothing about finite mode sets or renormalized models.
Example
Assume AC and Countable Choice as required by Finite bosonic and fermionic mode partition and occupation formulas and the trace-class suppliers. Take modes indexed by , each with excitation energy joules, and let . Let be the set of finite-support occupation sequences with . Enumerate by increasing and lexicographic order of the finite list of nonzero pairs within each level. Each level is finite because on its support, and every configuration occurs; skipping empty levels gives a bijection . Define The vector is the indicator of ; these canonical occupation vectors form an orthonormal basis. Relabeling by the displayed enumeration is an isometry with , whose completeness and dense finite-support subspace are supplied by Completeness and linear domain of the diagonal sequence model; the coordinate pairing makes the displayed indicator vectors orthonormal, and their finite linear span is exactly that dense subspace, so they form an orthonormal basis; the definition of square-summable families and their inner product is Square-summable families on an arbitrary index set and the space . Define the bounded positive diagonal Gibbs weight . On the subspace with for every , the corresponding finite-mode partition sum is the trace of that restriction.
Facts & Assumptions
Given: The independent identical-mode Fock model, positive , and the canonical trace convention.
Finite bosonic and fermionic mode partition and occupation formulas: for each finite collection of independent bosonic modes the Gibbs trace is the product of the one-mode traces .
Canonical sampling assumption for finite and normalized statistical models: the A-page countable canonical law is adopted only for a specified countable model with a positive finite partition sum.
The Axiom of Countable Choice (), Trace class operator, and Trace of a positive operator is the sum of its eigenvalues: under Countable Choice, a positive trace-class operator has finite trace equal to the sum of its nonnegative eigenvalues with multiplicity.
Countable canonical model: the nonnegative countable partition sum is the supremum of its finite subsums, so a finite normalizer bounds the sum over every subset of the listed states.
SI quantities and unit conventions: is in joules and in , so is dimensionless.
Square-summable families on an arbitrary index set and the space defines and its inner product. The explicit enumeration identifies it isometrically with , which is complete with a dense finite-support subspace by Completeness and linear domain of the diagonal sequence model. The indicator vectors are orthonormal by the coordinate pairing, and their finite linear span is that dense subspace, so they form an orthonormal basis.
The basis indices are all finite-support occupation sequences with physical energy joules, so their Gibbs eigenvalues are ; every finite-mode subset is a subset of this full basis.
AC and Countable Choice are assumed through the finite-mode Gibbs result and the trace-class definitions/theorems cited above.
Verification
Given: and the finite-mode subspaces described above.
The trace contribution from states supported on the first modes is the finite product by [F1]. Since , is unbounded: writing with , induction gives . The unit convention [F5] makes dimensionless.
If were trace class, [F3] would make its positive eigenvalue sum finite and equal to its trace. For each , the configurations with for form a subset of the enumerated states [A1]; [F4] therefore makes their finite-mode partition sum no larger than the full normalizer. [F1] identifies that subset sum as , and step 1.1 makes unbounded, a contradiction. Hence is not trace class and the countable partition sum has no finite value. The preparation condition [F2] fails, so this model has no normalized countable canonical law of the stated form.
An identity dynamics leaves a noncanonical finite preparation unchanged
A two-state finite model with explicitly frozen identity dynamics; it shows that a canonical preparation rule alone supplies no relaxation dynamics and is not an empirical statement.
Example
Let with energies , joules, and fix kelvins. The separately adopted canonical law has probabilities proportional to . For the dynamical comparison, use a dimensionless model-time parameter , stipulate the identity transition map , for all , and start with the point mass .
Facts & Assumptions
Given: A two-state energy model, positive temperature, the canonical preparation rule, and the explicitly stipulated identity dynamics.
Finite statistical microstate model: the two microstates and their fixed finite energies define an admissible finite statistical model.
Canonical sampling assumption for finite and normalized statistical models: the canonical probabilities are the normalized weights ; this is an adopted preparation rule and includes no time-evolution equation.
The comparison dynamics is the deterministic identity map for every dimensionless model time , and the initial law for that comparison is .
Verification
Given: , , and the stipulated dynamics.
Put , so . The canonical law is and ; in particular it is not .
The identity map preserves the initial point mass at every model time: . Hence the time-evolved law does not converge to the canonical law, whose probability of is strictly positive. This is a counterexample to deriving equilibration from the sampling rule alone.
Two isolated two-level sites do not relax an energy eigenstate to Gibbs form
A hypothetical closed two-site quantum model initialized in any pure energy eigenstate, including a superposition within a degenerate eigenspace; unitary evolution preserves that state and does not produce its finite-temperature Gibbs mixture. This is not an experiment.
Example
Assume AC and Countable Choice for the canonical mode preparation. Let with orthonormal basis , and define the factor number maps by , . The composite Hilbert space is the finite Hilbert tensor product from Hilbert tensor construction: inner product, completion and product bases, with orthonormal product basis , . On this basis define the site-number operators and . For kelvins set joules and define the noninteracting total Hamiltonian The quantum Gibbs preparation at is used for the thermal comparison, and the closed-system unitary evolution is generated by with , where is in seconds and is in . Start the dynamics in , where and for . Here means the rank-one map , with inner product linear in the first argument. This includes every unit vector in the degenerate eigenspace , as well as the ground and top eigenvectors. The preparation stays constant for every time and does not converge to the Gibbs density. The choice gives the explicit ground-state comparison below.
Facts & Assumptions
Given: The finite product energy model, the assigned positive temperature, the unitary evolution postulate, and the stated initial state.
The canonical equilibrium-ensemble assumption: the Gibbs preparation of a declared model at assigned temperature: under AC and Countable Choice, a declared self-adjoint semibounded energy generator with a positive finite Gibbs trace is assigned the density .
Finite bosonic and fermionic mode partition and occupation formulas: for a finite tensor product of independent fermionic two-level factors with additive total energy, the trace is the product of the one-mode traces , and the joint occupation-basis law is the product of the one-mode Gibbs weights.
Each site has , and the initial vector is any unit energy eigenvector of ; is the ground-state special case.
Verification
Given: , the product model, a unit energy eigenvector, and the closed-system evolution.
The product trace in [F2] is . By the Gibbs assignment [F1] and the product-basis energies from the Statement, ; at , the probabilities on are . In particular, the Gibbs probability of is .
For any stated eigenvector, the diagonal spectral evolution in [F3] gives , including every vector in the degenerate middle eigenspace. The phase has modulus one, so for every . The Gibbs density is diagonal with the four strictly positive weights of step 1.1, hence has rank four, whereas has rank one. They are distinct; the constant orbit cannot converge to the Gibbs density in any matrix norm.
In the special case , , for every ; thus . Its probability for the projector is zero at every time, unlike the Gibbs value . The state therefore never reaches this Gibbs density under the declared unitary evolution.
Sources
- David Tong, Statistical Physics, complete lecture notes, §§3.5–3.6
- Daniel Arovas, Lecture Notes on Thermodynamics and Statistical Mechanics, §§5.6–5.7
- David Tong, Statistical Physics, complete lecture notes, §1.3.1
- Daniel Arovas, Lecture Notes on Thermodynamics and Statistical Mechanics, §§4.4.1 and 4.6
- David Tong, Statistical Physics, complete lecture notes, §1.3
- Daniel Arovas, Lecture Notes on Thermodynamics and Statistical Mechanics, §§4.4–4.6
- David Tong, Statistical Physics, complete lecture notes, §§1.3.1 and 3.6
- Daniel Arovas, Lecture Notes on Thermodynamics and Statistical Mechanics, §§4.3–4.4 and §5.7