Proof of Law of Large Numbers for Empirical Measures in the Wasserstein Distance
theoremthm:empirical-measure-lln-wasserstein-2026aIntegrability follows from bounding the squared distance by the cost of the product coupling. For convergence, quantise the measure onto finitely many cells, split the distance by the triangle inequality into a quantisation error, a finite-support term controlled by the variance of the cell masses, and a fixed quantisation cost, and combine the three bounds by the mean-square triangle inequality.
Each result cited is universally quantified over the data in its own statement.
Conventions. Fix and as in the statement. By Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation we have , so for every also , and Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound, in force by Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation §background, applies in dimension . For we write for the image of under the canonical map of The Canonical Map from the Natural Numbers to a Field; this is the real number written in the displayed formulas of the results cited below. By claim 3 of Properties of the Canonical Map from the Natural Numbers to an Ordered Field, , the inverse exists and . We write and for . The triple is a probability space in the sense of Probability Space, Event, and Random Variable, a Borel map (Probability Measures on Euclidean Space and Random Vectors: Standing Notation §borel-maps) is a random variable on it, and for a nonnegative random variable on it the expectation is by Expectation, Variance, and Moments; square-integrable random variables and the norm , the nonnegative square root of , are those of Square-Integrable Random Variables and the Mean-Square Inner Product. Two elementary facts are used repeatedly.
(C) Let be a probability measure on a Euclidean space and let with . The constant function with value on is Borel by claim 1 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions; it is a nonnegative simple function whose only value is , attained on , so its integral in the sense of Simple Function and Its Integral is , and by the last sentence of Lebesgue Integral of a Nonnegative Measurable Function this is also its integral as a nonnegative measurable function.
(S) Let with and . Then if and only if (claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field), and if and only if (claim 1 there). In particular, for the nonnegative square root of given by Existence and Uniqueness of the Nonnegative Square Root is at most whenever .
Step 1 (Clause 1: integrability). Fix . By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §distance, applied with our , the function on is Borel with values in , hence is Borel by claim 3 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, with nonnegative values. Let . By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §moment, and ; multiplying by gives . By Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §product, ; the inequality for every coupling, recorded in The Quadratic Wasserstein Distance on Euclidean Space §distance, and the bound on the cost of a coupling of two members of in Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §cost-finite give
The function on is Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions, and the constant is a nonnegative real number because by The Second Moment of a Probability Measure on Euclidean Space and the Probability Measures with Finite Second Moment §space. By the additivity, homogeneity and monotonicity of the integral of nonnegative measurable functions (claim 1 of Linearity and Monotonicity of the Lebesgue Integral),
The first integral is the second moment of The Second Moment of a Probability Measure on Euclidean Space and the Probability Measures with Finite Second Moment §moment in dimension , which equals by Tensor Powers and One-Particle Marginals: Particle Laws, Product Integrals, Push-Forwards, Moments, Product Maps and Diagonal Shifts §moments; the second equals by (C). Hence . As is nonnegative it equals , so is integrable with respect to by the last sentence of Integrable Function and the Lebesgue Integral. This proves clause 1. Its integral is a nonnegative real number, and is its nonnegative square root; thus and . In the language of the conventions, is a square-integrable random variable on and .
Step 2 (Clause 2: the tolerance). To verify Limit of a Sequence of Real Numbers for the limit , let with be given. The objects below are chosen in this order: first (Step 2), then (Step 3), then , , , and (Step 4), then , , and (Step 5); each depends only on , and the objects chosen before it, and none depends on . Put . By claim 8 of Elementary Order Arithmetic in an Ordered Field, applied to and then to , we have , , and , hence . Since , claim 1 of Elementary Order Arithmetic in an Ordered Field (adding to both sides of ) gives .
Step 3 (Quantisation). By the second sentence of Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §quantisation, applied in dimension to and the positive number , there is a Borel map whose image is a finite set and
Fix such a .
Step 4 (Cells). The set is finite and nonempty (it contains ), so by Finite Set and Number of Elements of a Set there are and a bijection , ; thus are pairwise distinct and . For put , and put . All summands being nonnegative, by claim 5 of Properties of Finite Sums, and claim 6 there, applied twice, gives for all . For put ; since by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §finite-sets and is Borel, . Put ; by monotonicity of measures (claim 2 of Basic Properties of a Measure) .
Step 5 (The threshold ). Put , a real number with by claim 1 of Elementary Arithmetic in an Ordered Field and claim 5 of Properties of Finite Sums. Taking above gives (claim 1 of Elementary Properties of the Euclidean Norm on ), hence , so and then by the second axiom of Ordered Field. Put . By claim 6 of Elementary Order Arithmetic in an Ordered Field, , so by the first axiom of Ordered Field and by claim 2 of Elementary Order Arithmetic in an Ordered Field; hence exists and by claim 7 there. Also , since . Put ; by claim 5 of Elementary Order Arithmetic in an Ordered Field, , and , and . By claim 2 of The Archimedean Property of the Real Numbers, applied with and the positive number , choose with .
We claim that for every with . Indeed, either , or and then by claim 6 of Properties of the Canonical Map from the Natural Numbers to an Ordered Field; in both cases , so by claim 5 of Elementary Arithmetic in an Ordered Field, and by claim 2 of Elementary Order Arithmetic in an Ordered Field. Multiplying by (claim 10 there) gives .
Step 6 (Three auxiliary functions). From now on fix with ; it remains to show . By the first sentence of Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §quantisation, applied to and, for each , to , the measures and give measure to . Hence The Wasserstein Distance between Two Probability Measures Carried by a Finite Set is Bounded by the Squared Diameter Times the Total Variation of the Masses §bound, applied with , the points , the number of Step 4 and , , shows , , and
the equality because for every by Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §pushforward with and , , where is the product map of Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §product-map, which is Borel by Particle Blocks: Linearity, Splitting of Inner Products, Product Maps and Diagonal Shifts §product-map.
Define on
and the real number , defined because . The function is Borel as a composition of Borel maps (Probability Measures on Euclidean Space and Random Vectors: Standing Notation §borel-maps), so is Borel by claims 2 and 4 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §distance, applied with the measure in place of , the function on is Borel, and is its composition with , hence Borel. The functions , and the constant (claim 1 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions) are nonnegative random variables on , and by the display above, for every ,
Step 7 (Pointwise domination). Let . By claim 3 of Properties of the Absolute Value in an Ordered Field, , so by the first axiom of Ordered Field. Since by Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §moment, the triangle inequality The Quadratic Wasserstein Distance is a Metric on the Wasserstein Space §triangle gives
Hence , and by (S) .
Step 8 (The first function). Let . By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §distance with , , so by (S) . By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §lipschitz, , and multiplying by (claim 5 of Elementary Arithmetic in an Ordered Field) gives . Let , ; its components are differences of components of the Borel maps and , so is Borel by claim 2 of The Borel Sigma-Algebra of a Euclidean Space as a Product, and Measurability of Projections, Sequentially Continuous Maps, and Open and Closed Sets and claim 2 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, and . By Particle Blocks: Linearity, Splitting of Inner Products, Product Maps and Diagonal Shifts §linear, , and with the definition Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §product-map of and , the linearity of configurations in the same clause (with ) gives . Hence pointwise, the right side being Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions and Particle Blocks: Linearity, Splitting of Inner Products, Product Maps and Diagonal Shifts §product-map. By Tensor Powers and One-Particle Marginals: Particle Laws, Product Integrals, Push-Forwards, Moments, Product Maps and Diagonal Shifts §product-maps with , and , together with from Tensor Powers and One-Particle Marginals: Particle Laws, Product Integrals, Push-Forwards, Moments, Product Maps and Diagonal Shifts §marginal-of-tensor,
By claim 1 of Linearity and Monotonicity of the Lebesgue Integral (monotonicity and homogeneity) and Step 3,
Thus is square-integrable and by (S).
Step 9 (The second function). For , by Variance of the Empirical Mass of a Borel Set under a Tensor Power §borel applied with and (so that its is our ), the map is Borel with values in , so is Borel by claims 1, 2 and 4 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, with (claims 1 and 6 of Properties of the Absolute Value in an Ordered Field, as both and lie in ). Put ; by claim 1 of Linearity and Monotonicity of the Lebesgue Integral and (C), , so is a nonnegative real number. By Variance of the Empirical Mass of a Borel Set under a Tensor Power §deviation, ; since and , claim 5 of Elementary Arithmetic in an Ordered Field gives , and Step 5 gives ; so by claim 2 of Elementary Order Arithmetic in an Ordered Field, and by (S). Hence for every (claim 3 of Elementary Arithmetic in an Ordered Field); by claim 5 of Properties of Finite Sums, then its claims 2 and 3 (with ), , and by claim 3 there; so by claim 3 of Elementary Arithmetic in an Ordered Field.
By Step 6 and claim 1 of Linearity and Monotonicity of the Lebesgue Integral (monotonicity, homogeneity, and additivity extended to the summands along the recursion of claim 1 of Properties of Finite Sums),
using claim 5 of Elementary Arithmetic in an Ordered Field twice (with the nonnegative multipliers and , and from Step 5). Thus is square-integrable and by (S).
Step 10 (The constant). By Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §pushforward with , and the identity in place of its , the measure is a coupling of and (the latter because , Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward), with quadratic cost (Step 3). By The Quadratic Wasserstein Distance on Euclidean Space §distance, , so by (S). By (C), , so the constant is square-integrable and by the uniqueness in Existence and Uniqueness of the Nonnegative Square Root.
Step 11 (Triangle inequality in mean square). By Square-Integrable Random Variables and the Mean-Square Inner Product, and are square-integrable, and claim 2 of Cauchy-Schwarz and Triangle Inequalities for the Mean-Square Norm, applied twice on , gives
the last step by Steps 8, 9 and 10 and the first axiom of Ordered Field. By Step 7 and claim 1 of Linearity and Monotonicity of the Lebesgue Integral (monotonicity), , so by (S). With Step 2 and claim 2 of Elementary Order Arithmetic in an Ordered Field, .
Step 12 (Conclusion). Since (Step 1), by Absolute Value in an Ordered Field, so for every with . As was arbitrary and was chosen in Step 5 depending only on (through , , , and ), the sequence converges to in the sense of Limit of a Sequence of Real Numbers. This proves clause 2.
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Prerequisites
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