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Wasserstein metric and continuity-equation foundations — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Brownian Motion Construction and Continuity
- Compact Operators and Riesz Schauder Theory
- Compactness
- Compactness in Metric Spaces
- Complete Metrizability, Čech-Completeness, and Baire Category
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Conditional Distributions and Regular Conditional Probability
- Conditional Expectation
- 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
- Density Separability and Convolution in Lᵖ
- Detection and quantification limits
- Determinants of Matrices over a Commutative Ring
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Finite-window spatial likelihood
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- 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
- Infinite Product Measures and Kolmogorov Extension
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Lebesgue-Stieltjes Measures and Distribution Functions
- 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
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- 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
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- Pointwise Extended-Real Function Products
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Probability Spaces Random Variables and Expectation
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- 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
- Standard-Borel Real Codings and Determining Classes
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Analytic Hahn Banach Theorem
- The Ascoli–Arzelà Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Inverse and Implicit Function Theorems
- 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 Radon Nikodym Theorem and Lebesgue Decomposition
- 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
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Wasserstein metric and continuity-equation foundations
- Weak Convergence Tightness and Representation
2 · Logical flowchart
3 · Definitions, theorems and proofs
None yet.
4 · Examples, counterexamples and false statements
Translation of a Dirac mass
Example
Assume AC. Let be an integer, , and . The curve belongs to , has constant metric speed , and the Borel field solves the continuity equation. Its action is , equal to the minimum action among fields solving that equation for this curve.
Example references
The Euclidean quadratic Wasserstein space
The quadratic Wasserstein distance is a metric
Finite-action continuity equation in Euclidean space
AC2 curves admit a unique minimum-action velocity field
The Dirac set function at a point
The chain rule for total derivatives:
The second fundamental theorem: if is differentiable on with and is integrable, then
Ambrosio, Gigli, and Savaré, Gradient Flows, Theorem 8.3.1
Santambrogio, Optimal Transport for Applied Mathematicians, Chapter 5, §5.3
Facts & Assumptions
Given: AC, an integer , , and .
A coupling of two Dirac laws is forced to put all mass at the sole pair of support points, so the quadratic Wasserstein distance is . The Euclidean quadratic Wasserstein space The Dirac set function at a point
For a continuously differentiable scalar function, the total-derivative chain rule and fundamental theorem identify the integral of its derivative with its endpoint difference. The chain rule for total derivatives: The second fundamental theorem: if is differentiable on with and is integrable, then
The minimum-velocity theorem says the least action of any admissible velocity for an curve is the integral of its squared metric speed. AC2 curves admit a unique minimum-action velocity field
Proof
For , any coupling of and is concentrated at , hence [F1] gives . For every bounded continuous f, is continuous, so the curve is narrowly continuous. Thus it is with constant metric derivative (the endpoint difference quotient is exactly at every interior time).
For , the chain rule gives The left side integrates to zero over because the test vanishes near both time endpoints; this is exactly the weak continuity-equation identity for and . Its action is . By [F3] and step 1.1, this equals , the minimum action.
An isotropic Gaussian Wasserstein geodesic
Example
Assume AC. Let , , and . Let have density on , put and , and set for . Then is a constant-speed geodesic, meaning for all , from the laws of to the law of , with The Borel field solves the continuity equation and has action equal to this squared distance, hence is minimum-action. The strict positivity of and ensures throughout; degenerate covariances are excluded.
Example references
The Euclidean quadratic Wasserstein space
The quadratic Wasserstein distance is a metric
Geodesics and geodesic metric spaces
Finite-action continuity equation in Euclidean space
AC2 curves admit a unique minimum-action velocity field
Standard normal and normal laws
Location-scale normal laws have their stated mean and variance
On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Linearity, monotonicity, and the modulus bound for expectation
Moments, variance, and covariance on a probability space
Random elements and real random variables
Law or distribution of a random element
Holder's inequality for integrals, including the endpoint cases
Change of variables for expectation
The chain rule for total derivatives:
The second fundamental theorem: if is differentiable on with and is integrable, then
Ambrosio, Gigli, and Savaré, Gradient Flows, Theorem 8.3.1
Santambrogio, Optimal Transport for Applied Mathematicians, Chapter 5, §5.3
Facts & Assumptions
Given: AC, as stated, and the standard Gaussian law on .
AC implies Countable Choice. The Axiom of Choice AC implies DC implies countable choice The Axiom of Countable Choice ()
The displayed density factors into standard normal coordinate densities; [A1] and Tonelli give each coordinate law . Standard normal and normal laws On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n} Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Each coordinate has mean zero and variance one by the normal moment theorem; finite sums give and . Under any coupling of the scaled laws, the centered marginals therefore have second moments and . Location-scale normal laws have their stated mean and variance Moments, variance, and covariance on a probability space Linearity, monotonicity, and the modulus bound for expectation Change of variables for expectation
Holder bounds the centered cross moment by . Holder's inequality for integrals, including the endpoint cases
The minimum-velocity theorem identifies the least action of an curve with the integral of its squared metric speed. AC2 curves admit a unique minimum-action velocity field
Dominated convergence passes bounded continuous test functions through the Gaussian law as its affine parameters vary continuously. Dominated convergence
The total-derivative chain rule differentiates a smooth test along the affine path, and the FTC integrates that derivative. The chain rule for total derivatives: The second fundamental theorem: if is differentiable on with and is integrable, then
Proof
Write . Let be any coupling of and , and set , . Since , expansion gives By [F1] and [F2], this is at least . Conversely, couple the two laws by , using the same standard Gaussian vector. The moments in [F1] give . Taking the infimum proves
Apply step 1.1 to and . Their differences are and , so This proves the constant-speed geodesic claim and identifies its speed.
For each , define . Direct differentiation gives . For any bounded continuous test f, dominated convergence [F4] gives continuously in t, so the curve is narrowly continuous. For a compactly supported smooth test , the chain rule [F6] gives . Integrate over and the Gaussian law. The FTC [F6] and the test vanishing near both time endpoints make the time integral zero; its derivative is integrable since is affine in with finite first moment by [F2, F3]. The resulting identity is the weak continuity equation for . Also using the zero coordinate means and unit variances in [F2]. Its time integral is the squared-distance value from step 1.1, so [F4] makes this velocity minimum-action.