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Gaussian and gamma product tools — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Banach-Space Differential Calculus and Banach Manifolds
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Classical configuration, phase and reference spaces
- Cm Math Canonical
- Cm Math Geometry
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Connectedness
- Connections And Free Fall
- Connections Levi Civita and Parallel Transport
- 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
- Countability Axioms and Cardinal Functions
- Determinants of Matrices over a Commutative Ring
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Ensembles And Limits
- Equivalent Forms of Completeness
- Euclidean Ordinary Differential Equations with Smooth Dependence
- 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
- Foundations of the Real Numbers for Analysis
- Framework And Geometry
- Framework, quantities and geometry
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian and gamma product tools
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Geodesics, the Exponential Map, Completeness, and Hopf–Rinow
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hereditary and Productive Behaviour of the Separation Axioms
- 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
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Lorentz Transformations
- Manifolds with Boundary Collars and Orientations
- 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
- 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
- Observer Measurements
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Particle spacetime, observers and worldlines
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Rank Theorems and Embedded Submanifolds
- Relations, Functions, and Quotients
- Riemann Curvature and Riemannian Submanifolds
- 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
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Smooth Vector Bundles and Sections
- Spacetime Primitives
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Symplectic Manifolds, Moser Stability, and Darboux–Weinstein Theory
- Tangent Cotangent and the Differential
- Tensor Fields Exterior Algebra and Differential Forms
- Tensor Products of Modules
- Tensors And Observers
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Exterior Derivative and Cartan Calculus
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Real Gamma and Beta Functions
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- 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
- Vector Fields Flows and Lie Derivatives
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
- Worldlines And Clocks
2 · Summary
These worked examples display the translation zero-mode divergence of an unpinned harmonic chain, evaluate a Maxwell speed law and a Poisson particle-count case including the vacuum sector, specialize the exact Ising-ring correlation length, check a hard-rod virial remainder at half packing, and compare finite shell support with canonical Gaussian tails. The shell marginal comparison is conditional on Countable Choice through its Lebesgue change-of-variables supplier. These are exact calculations under the named models, not measurements or evidence that any system realizes a preparation.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Unpinned translation zero-mode divergence
Finite periodic harmonic chain with no pinning; conditional on ACω for the declared Euclidean Lebesgue reference, the continuous translation zero mode makes the canonical partition function diverge.
Example
Assume as defined in The Axiom of Countable Choice () for the Euclidean Lebesgue measure of the phase-space boxes below. Take resolved displacement coordinates in metres and momenta in kg m s on a periodic chain, with , mass kg, spring stiffness in J m, and Adopt inverse temperature in J and fixed action reference in J s under Declared example preparations and thermodynamic interpretation. Because the coordinates are resolved, use the reference with no particle-exchange factorial. Define the partition integral where is the real exponential of The real exponential function and the number by a power series. The unpinned position integral is infinite, so this model has no normalized canonical probability on the full position space.
Facts & Assumptions
Given: , the periodic-chain Hamiltonian, kg, J m, J, J s, and the resolved-coordinate reference above.
Declared example preparations and thermodynamic interpretation: when is finite and positive, the canonical density is relative to the chosen reference measure; the fixed action reference is part of the preparation, and resolved harmonic coordinates retain their declared labels without an added particle-exchange factorial.
Under , Lebesgue measure of a box is its product volume, and a bounded Jordan measurable set has Lebesgue measure equal to its Jordan content (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, Lebesgue outer measure is at most Jordan outer content, and a bounded Jordan measurable set is Lebesgue measurable with Lebesgue measure equal to its Jordan content).
A diffeomorphism with nonzero Jacobian transforms Riemann integrals on compact Jordan sets by the absolute determinant (Change of variables for an injective map on a compact Jordan set).
Every continuous real function on a nonempty compact metric space is bounded and attains a finite maximum (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
The nonnegative Lebesgue integral is monotone under pointwise ordering (Monotonicity and nonnegative homogeneity of the nonnegative integral).
The example adopts the displayed unpinned periodic-chain Hamiltonian and full displacement domain.
Verification
Put and use coordinates , for . The linear bijection has determinant . With , every periodic difference satisfies , so the potential is independent of ; the momentum term is also independent of . On each compact coordinate box the change-of-variables supplier [F3] therefore gives the phase-volume Jacobian .
Under the declared reference convention [F1], choose any compact coordinate box of positive volume in . The Hamiltonian is continuous and hence bounded above on by a finite by [F4]. By [F2], has Lebesgue measure . On and , the integrand is at least ; the determinant-one map in step 1.1 and [F2] show this slab contributes at least to the partition integral by [F5]. This lower bound is unbounded as , so and no normalization exists.
Remarks
This calculation identifies a translation zero mode. It makes no claim about separately confined or pinned models.
Maxwell speed marginal and Poisson number example
Conditional on ACω for the Euclidean Lebesgue product reference; exact d=3 massive ideal-gas canonical speed law and one grand-canonical activity choice for one operationally indistinguishable species, including the vacuum sector; no measured gas data.
Example
Assume as required by Exact canonical and grand ideal-gas preparations. In a canonical sector of the massive ideal-gas model of one operationally indistinguishable species, choose any mass in kg and inverse temperature in J. The most probable speed of a uniformly selected particle is and its ensemble mean speed is . In the separate grand model, which includes the vacuum sector, choose the chemical potential so the mean activity parameter equals , where is in m, in metres, and in joules. The particle count then has the Poisson law, including .
Facts & Assumptions
Given: , the massive ideal-gas canonical and grand preparations of Exact canonical and grand ideal-gas preparations for one operationally indistinguishable species, with , and the vacuum convention .
Exact canonical and grand ideal-gas preparations: in , the uniformly selected particle's speed mode and mean are and ; with the defined vacuum sector, the grand count has Poisson mass for every , where .
The real exponential function and the number by a power series, The natural logarithm as the inverse of the exponential function: and are inverse functions on and , so for .
Choose the grand model parameter ; this is a parameter selection, not an observation.
Verification
Specializing the clauses of [F1] gives the stated mode and mean of the model speed distribution; these are distributional functionals, not values assigned to every individual particle.
Substituting [A1] and applying [F2] gives , hence in [F1]. The Poisson formula then gives , so the and probabilities both equal .
Remarks
The displayed values are exact consequences of the specified distributions. They are not measured speeds or particle counts.
Exact finite-ring correlations and limiting correlation length at a chosen coupling
Zero-field finite periodic nearest-neighbor Ising ring at the exact parameter choice beta J=(log 2)/2; no observed magnetic data.
Example
For any finite at zero field, choose coupling in joules and inverse temperature in J. Then and the exact ring correlation at separation is At fixed , the limit is , so the correlation length is lattice spacings.
Facts & Assumptions
Given: The finite zero-field ring theorem Finite periodic Ising-ring correlations and exact decay with , , and its indexed-bond convention.
Finite periodic Ising-ring correlations and exact decay: with , and, for , .
Set in the finite model.
Verification
Since , the choice [A1] gives .
Substituting in [F1] gives the displayed finite- correlation. Its fixed- limit is by the theorem's error bound, and gives .
Remarks
This is a finite-model calculation. The displayed coupling is a chosen parameter and is not an experimentally fitted value.
Packing boundary and exact truncated virial error
Conditional on ACω for the Euclidean Lebesgue product reference; finite one-dimensional Tonks gas with common positive rod length, positive mass, inverse temperature and action reference at half the close-packing density; exact force-conjugate pressure and geometric virial remainder only.
Example
Assume as required by Exact Tonks hard-rod pressure and convergent virial series. Use the one-species hard-rod model of Exact Tonks hard-rod pressure and convergent virial series with , rod length in metres, mass in kg, inverse temperature in J, and fixed action reference in J s. Set box length in metres. Then and number density in m, so . The exact force-conjugate pressure is . Truncating its virial series after the first two terms gives , with exact remainder .
Facts & Assumptions
Given: and the one-dimensional hard-rod model from Exact Tonks hard-rod pressure and convergent virial series with , metres, metres, kg, J, J s, and in m.
Exact Tonks hard-rod pressure and convergent virial series: under those full hard-rod hypotheses, and the remainder after terms is .
Choose and truncate after terms.
Verification
The choices give and therefore .
The exact equation in [F1] gives . The first two series terms are . Applying the remainder formula in [F1] with gives , exactly the difference.
Remarks
This is a finite-parameter illustration of the exact one-dimensional model. It is not a numerical measurement or an all-fluid virial expansion.
Finite shell support versus canonical Gaussian tails
Two operationally indistinguishable particles in a three-dimensional spherical-shell preparation compared with the matched-mean canonical ideal gas, conditional on Countable Choice for the marginal theorem; exact distributions only.
Example
Assume as required by Finite spherical-shell gas and its exact marginal, and use its one-species rectangular-box model. Take , , , mass in kg, and energy in joules, so the momentum radius is in kg m s. A uniformly selected particle's three-momentum block () under the shell preparation has density and zero for . A canonical ideal gas with in J has the same mean total energy but assigns positive probability to the annulus for the uniformly selected particle's momentum .
Facts & Assumptions
Given: , the one-species rectangular-box shell theorem Finite spherical-shell gas and its exact marginal with , and the matched-mean canonical ideal-gas theorem Exact canonical and grand ideal-gas preparations.
Finite spherical-shell gas and its exact marginal: assuming , the uniformly selected particle's -block shell marginal has density , concentrated in the closed radius- ball with no boundary atom for , and matches the canonical mean total energy.
Exact canonical and grand ideal-gas preparations: in the massive canonical model each momentum component has a Gaussian density with positive variance , hence the vector density is strictly positive on all of .
Gaussian, gamma and beta product integrals: and , so and .
Choose , , and in the one-species model.
Verification
Substituting into [F1] gives exponent and coefficient using [F3]. This is the displayed density.
The shell block has probability zero outside the radius- ball by [F1]. The canonical Gaussian vector density from [F2] is positive throughout the nonempty annulus , which has positive volume, so that event has positive canonical probability for a uniformly selected particle. Therefore the two finite momentum marginals differ.
Remarks
All distributions here are model predictions under their stated preparations. No observed counts or fitted parameters are involved.
Sources
- David Tong, Statistical Physics, §2.2.1, quadratic degrees of freedom
- David Tong, Statistical Physics, §§2.2–2.2.4, ideal gas and Maxwell speed distribution
- Mehran Kardar, MIT OpenCourseWare 8.333, Statistical Mechanics I, Lecture 14, ideal gas in the grand canonical ensemble
- David Tong, Statistical Physics, §5.3.1, the one-dimensional Ising chain
- University of Warwick, PX439/CO904 Statistical Mechanics of Complex Systems, lecture notes, §3.5 The Tonks gas
- Mehran Kardar, MIT OpenCourseWare 8.333, Statistical Mechanics I, Lecture 13, IV.D, finite microcanonical momentum sphere (Fall 2013)
- David Tong, Statistical Physics, §2.2, canonical ideal-gas momentum distribution