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Hellinger stability and posterior discretization — Examples and Counterexamples

1 · Prerequisites

2 · Logical flowchart

3 · Definitions, theorems and proofs

None yet.

4 · Examples, counterexamples and false statements

CounterexampleConstruction: AI-generatedVerification: AI-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Equal posterior means do not control the full posterior

Statement refuted

For any proper prior probability measure on a measurable real-valued parameter space and any two finite likelihood potentials with positive finite evidence and finite posterior means, equality of the two posterior means implies equality of the posterior laws and hence zero Hellinger distance.

Facts & Assumptions

Given: The false statement above, the fixed-data potential update convention, and the library root-L2 Hellinger convention.

[F1]

For a finite potential Φ on a prior space, the evidence is ZΦ=∫e−Φ dμ0 and the posterior density relative to the prior is e−Φ/ZΦ whenever 0<ZΦ<∞. Misfit evidence and the potential posterior law

[F2]

If P,Q have supplied densities p,q with respect to a common measure ν, then h(P,Q)2=∫(p−q)2 dν. Root-L2 Hellinger distance for dominated laws

[F3]

The natural logarithm is the inverse of the real exponential on (0,∞). The natural logarithm as the inverse of the exponential function

[F4]

A measurable space is a set equipped with a sigma-algebra, and a probability measure is a countably additive measure with total mass one. Measurable spaces and measurable sets, Probability measures and probability spaces

[F5]

A posterior mean of an integrable real parameter is its expectation; on this finite space it is the finite probability-weighted sum. Expectation of a nonnegative or integrable random variable, Expectation of a real random variable on a finite probability space

[F6]

For any a∈R, the intervals (x−∣x−a∣/2,x+∣x−a∣/2), indexed by x≠a, cover R∖{a} and omit a; hence R∖{a} is open and {a} is closed. Thus D is Borel, every subset of the finite set D is Borel, and its trace Borel sigma-algebra is the power set; every map from D to a measurable target is consequently measurable. The Borel sigma-algebra of a topological space

Counterexample

Take X=R, D={−1,0,1} with its Borel subspace structure, and the prior μ0 that assigns mass 1/3 to each point. Put ε=1/100 and define two probability mass functions on D by p(−1)=p(1)=ε/2,p(0)=1−ε, q(−1)=q(1)=(1−ε)/2,q(0)=ε. Define finite potentials ΦP(u)=−log⁡(3p(u)) and ΦQ(u)=−log⁡(3q(u)). Their evidences are both one, so their posterior updates are precisely the laws with mass functions p and q.

1.1F1F3F4F6givenalgebra

The uniform prior is the finite atomic measure μ0(A):=∣A∣/3 for A⊆D; it is countably additive on this finite space and has μ0(D)=1, so [F4] makes it a probability measure. The masses of p and q are positive and each sums to one. By [F6], D is Borel and both finite potentials are measurable. By [F3], e−ΦP(u)=3p(u) and e−ΦQ(u)=3q(u) for every u∈D. Thus ZΦP=13∑u∈D3p(u)=1 and ZΦQ=13∑u∈D3q(u)=1. By [F1], the two posterior updates have masses p and q; they are proper and have finite means.

2.1F5step 1.1algebra

By [F5], their means are (−1)(ε/2)+(1)(ε/2)=0 and (−1)((1−ε)/2)+(1)((1−ε)/2)=0, respectively. Hence their posterior means agree.

3.1F2step 1.1algebra∎

Using μ0 as the common dominating measure, the corresponding densities are 3p and 3q. By [F2], h(P,Q)2=2(1/200−99/200)2+(99/100−1/10)2. Since 99/100>(9/10)2, the central term is greater than (4/5)2=16/25. Since 99/200>(7/10)2 and 1/200<(1/14)2, each endpoint squared difference is greater than (7/10−1/14)2=(22/35)2. Therefore h(P,Q)2>16/25+2(22/35)2=1752/1225>1. Equal posterior means thus coexist with Hellinger distance greater than one.

Remarks

This finite example only refutes a mean-only conclusion. It makes no claim that the two potentials satisfy the Hellinger stability or discretization hypotheses on the A page.

ExampleConstruction: AI-generatedVerification: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

A stable two-point potential gives a Lipschitz posterior

Example

Let X=Y=R, D={−1,1}, and let μ0 be the atomic Borel probability on R given by μ0(A)=121{1∈A}+121{−1∈A} for Borel A. For each fixed datum y∈R, use the finite potential Φ(u;y)=12(y−u)2. Its evidence and posterior mass at 1 are Z(y)=12(e−(y−1)2/2+e−(y+1)2/2)>0,Πy({1})=e2y1+e2y. For every R>0, this potential satisfies the weighted envelope and data-Lipschitz assumptions of the Hellinger data-stability theorem; hence some CR<∞ satisfies h(Πy,Πy′)≤CR∣y−y′∣ for all y,y′∈[−R,R]. These are pointwise fixed-data updates; no observation law or conditional-law version is asserted.

Example references

Facts & Assumptions

Given: The two-point prior, finite potential, pointwise evidence/posterior convention, and a data interval [−R,R] with R>0.

[F1]

The fixed-data posterior density relative to μ0 is e−Φ(u;y)/Z(y) when 0<Z(y)<∞. Misfit evidence and the potential posterior law

[F2]

The data-stability theorem gives a root-L2 Hellinger Lipschitz bound for every pair of data in a bounded ball, and the defining Hellinger distance for the supplied posterior densities is their root-L2 distance. Hellinger stability of function-space posteriors under data perturbations, Root-L2 Hellinger distance for dominated laws

[F4]

For each fixed u∈D, y↦12(y−u)2 is a continuous real polynomial; the open slices {u}×R show that Φ is jointly continuous. Every open O⊆D×R is ⋃u∈D{u}×Ou with each Ou open in R, and each such rectangle belongs to the product sigma-algebra. Thus every open preimage under Φ is product-measurable; since open sets generate the real Borel sets and the extended-real Borel sigma-algebra restricts to the real one, Φ is measurable as an extended-real-valued map. Continuity of a map of topological spaces at a point and globally, Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace, The product set ∏i∈IXi of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space, Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, The product sigma-algebra and its finite iterates, The Borel sigma-algebra of a topological space, The extended real line R‾=R∪{−∞,+∞}, its order, and the arithmetic that is left undefined, The Borel sigma-algebra on the extended real line, A measurable function between measurable spaces

Verification

Given: X=Y=R, D={−1,1}, the equal-atom prior, and Φ(u;y)=12(y−u)2.

1.1F2F3F4givenalgebraconstruct

For any a∈R, the intervals (x−∣x−a∣/2,x+∣x−a∣/2), indexed by x≠a, cover R∖{a} and omit a; hence R∖{a} is open and every singleton is closed. Therefore D is Borel as a finite union of closed sets, and it is bounded because ∣u∣=1 on D. The open intervals (1/2,3/2) and (−3/2,−1/2) intersect D in {1} and {−1}, respectively, so every singleton is relatively open and D has the discrete relative topology. The displayed finite atomic measure is countably additive and its two atom masses sum to one, so it is a Borel probability with μ0(D)=1. Thus D itself is a bounded Borel subset of positive prior mass, as required by the theorem. The real line is a separable Banach space. By [F4], for any open O⊆R, Φ−1(O) intersects each open slice {u}×R in an open subset of that slice, hence open in D×R; taking the union over u∈D proves joint continuity. The potential is nonnegative. For ∣y∣,∣y′∣≤R and u∈D, ∣Φ(u;y)−Φ(u;y′)∣=12∣y−y′∣∣y+y′−2u∣≤(R+∣u∣)∣y−y′∣. Here ∣y+y′−2u∣≤∣y∣+∣y′∣+2∣u∣≤2R+2∣u∣ by the triangle inequality. Thus choose M1(r,s)=0 and M2(r,s)=r+s, which are Borel and nondecreasing in each argument. Then ∫DeM1(R,∣u∣)(1+M2(R,∣u∣)2) dμ0(u)=1+(R+1)2<∞, so [F2] applies and gives the stated Hellinger Lipschitz stability on [−R,R].

2.1F1step 1.1givenalgebra∎

By [F1], the evidence is the displayed two-term sum and is positive. The posterior mass ratio is Πy({1})Πy({−1})=e−(y−1)2/2e−(y+1)2/2=e2y; the two masses sum to one, so Πy({1})=e2y/(1+e2y). The verified evidence and the explicit formula determine the whole two-point posterior.

CounterexampleConstruction: AI-generatedVerification: AI-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

A nonintegrable error envelope destroys the linear Hellinger rate

Statement refuted

For every separable real Banach space X, Borel set D⊆X, and Borel probability μ0 with μ0(D)=1 and positive mass on a bounded subset of D. Give D the relative norm topology. Let Φ,ΦN:D→R be finite continuous potentials indexed by integers N≥1, let M1,M2:[0,∞)→[0,∞) be Borel and nondecreasing, and let ψN≥0 tend to zero. If Φ,ΦN≥−M1(∥u∥X) and ∣ΦN(u)−Φ(u)∣≤M2(∥u∥X)ψN for every u,N, and their evidence normalizers are positive and finite, then there are C<∞ and N0 such that the library root-L2 Hellinger distance satisfies h(Π,ΠN)≤CψN for every N≥N0, even without assuming ∫DeM1(∥u∥X)(1+M2(∥u∥X)2) dμ0<∞.

Facts & Assumptions

Given: A counterexample is required to the no-integrability claim in Statement refuted.

[F1]

For a fixed-data potential, Z=∫e−Φ dμ0 and the posterior density relative to μ0 is e−Φ/Z on positive finite evidence fibers. Misfit evidence and the potential posterior law

[F2]

For supplied densities p,q relative to the same measure, the library Hellinger distance satisfies h2=∫(p−q)2 dμ0. Root-L2 Hellinger distance for dominated laws

[F3]

The series ∑n≥1n−2 converges, while ∑n≥1n−1 diverges. For rational p>0, ∑1/kp converges iff p>1

[F4]

The valid potential-discretization result assumes ∫eM1(1+M22) dμ0<∞ to conclude a linear Hellinger rate. Hellinger error bound for posterior potential discretization

[F5]

The real exponential is continuous and strictly increasing, with e−x=1/ex and e1>1. The exponential function is strictly increasing, The exponential is positive and satisfies exp⁡(−x)=1/exp⁡(x)

[F6]

The real line with its absolute-value metric is a separable Banach space. For each n≥1, the intervals (x−∣x−n∣/2,x+∣x−n∣/2), indexed by x≠n, cover R∖{n} and omit n, so {n} is closed. Hence D=⋃n≥1{n} is Borel. Also (n−12,n+12)∩D={n} for each n≥1, so every singleton is relatively open, D is discrete, and every real-valued function on D is continuous. Banach space, Separability: the existence of an at most countable dense subset, A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, The Borel sigma-algebra of a topological space, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace, Continuity of a map of topological spaces at a point and globally

[F7]

The assigned values of μ0 are nonnegative, and the empty set has measure zero by the empty sum. For pairwise disjoint Borel sets Aj⊆R, the nonnegative series in the definition of μ0 partitions across the disjoint sets Aj∩D, so μ0(⋃jAj)=∑jμ0(Aj). By [F3], c>0 is finite and c∑n≥1n−2=1, hence μ0 is a Borel probability measure with μ0(D)=1. Probability measures and probability spaces

Counterexample

Let X=R with its usual norm, D=N≥1 with the trace Borel sigma-algebra, and c=(∑n=1∞n−2)−1. For Borel A⊆R, define μ0(A):=c∑n∈A∩Dn−2, so μ0({n})=c/n2. Let Φ(n)=0, ΦN(n)=n/N for integers N≥1, and set M1(s)=0, M2(s)=s, and ψN=1/N. The potentials have common lower envelope zero and satisfy ∣ΦN(n)−Φ(n)∣=M2(∣n∣)ψN, but the weighted error envelope is not prior-integrable.

1.1F3F4F6F7givenconstructalgebra

By [F3], 0<∑n≥1n−2<∞, so c is finite and positive and [F7] makes μ0 a probability with μ0(D)=1. By [F6], D is Borel and has the discrete relative topology, so every real-valued function on D, including Φ,ΦN, is continuous. The real line with its usual norm is a separable Banach space by [F6]. Thus all Φ,ΦN are finite continuous functions on D. They satisfy Φ,ΦN≥0 and ∣ΦN(n)−Φ(n)∣=n/N=M2(∣n∣)ψN. But ∫DeM1(∣u∣)(1+M2(∣u∣)2) μ0(du)=∑n≥1cn2(1+n2)=+∞, since the second summand contributes c for each n. This is precisely the integrability hypothesis used by [F4], and it fails here.

2.1F1F3F5step 1.1givenchoosealgebra

The base evidence is Z=1. For each N, the approximate evidence ZN=∑n≥1cn2e−n/N is positive and at most one, so both posterior updates exist. Moreover ZN→1: given ϵ>0, choose m with ∑n>mc/n2<ϵ/2 by [F3]. The finite sum ∑n=1m(c/n2)(1−e−n/N) tends to zero by continuity of the exponential [F5], while the remaining tail of 1−ZN is at most ∑n>mc/n2<ϵ/2.

3.1F5step 2.1givenalgebra

Since e−1<1, the number α:=(1+e−1)/2 is less than one. From ZN→1, for all sufficiently large N we have ZN≥α. For n≥N, e−n/NZN≤e−1α=2e+1<1, so 1−e−n/N/ZN≥κ:=1−2/(e+1)>0.

4.1F2step 3.1givenalgebra∎

The posterior density of the base law relative to μ0 is 1, and that of the approximation is e−n/N/ZN. By [F2] and step 3.1, h(Π,ΠN)2=∑n≥1cn2(1−e−n/NZN)2≥κ2∑n=N2N−1cn2≥κ2c4N, because the block has N terms and each n in it satisfies n<2N. Therefore h(Π,ΠN)≥(κc/2)N−1/2, while ψN=N−1. The ratio h(Π,ΠN)/ψN is at least (κc/2)N and is unbounded, so the claimed O(ψN) rate fails.

Sources