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A topological invariant mean yields norm-approximately invariant densities

Statement

Assume AC. Let G be a locally compact Hausdorff group with fixed left Haar measure μ, and let m~ be a topological invariant mean on L∞(G): a positive complex-linear functional with m~(1G)=1 and m~(f∗φ)=m~(φ) for every f∈P and φ∈L∞(G), where P is the set of probability densities from Reiter's condition (P1). The product f∗φ is the L1–L∞ smoothing of L1 convolution smooths bounded functions into UCB; products of two L1 classes below use the extended convolution of Convolution on L1 of a locally compact group. Then there is a net (gj)⊆P such that ∥f∗gj−gj∥1→0 for every f∈P. The convergence is uniform on norm-compact subsets of P: for every norm-compact C⊆P and every δ>0 there is j0 such that sup⁡f∈C∥f∗gj−gj∥1<δ whenever j⪰j0.

Facts & Assumptions

Given: AC, an LCH group G with fixed left Haar measure μ, a topological invariant mean m~ on complex L∞(G), and the probability densities P.

[A1]

AC is assumed in the choice-function form (The Axiom of Choice).

[F1]

P={f∈L1(G):f≥0,∥f∥1=1} is the convex set of probability densities (Reiter's condition (P1)).

[F3]

Haar measure is positive on nonempty open sets and finite on compact sets (Haar measure is positive on nonempty open sets and finite on compact sets).

[F4]

Indicators of Borel sets are simple measurable functions, their simple integral is their measure, and the nonnegative integral agrees with the simple integral (Nonnegative simple measurable functions, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions).

[F5]

A mean on complex L∞(G) is positive, complex-linear and unital (Left-invariant means on L∞ of a locally compact group).

[F6]

Complex L∞ consists of Borel almost-everywhere classes (Complex L∞ space of a locally compact group).

[F7]

Complex numbers have real and imaginary parts (Real and imaginary parts, complex conjugation, and modulus).

[F8]

Disjoint convex sets, one open, are strictly separated by a nonzero bounded real-linear functional (Separation of disjoint convex sets when one is open).

[F9]

There is an open subgroup H=⋃n≥0Un with compact increasing exhaustion Un, whose left cosets partition G into clopen sigma-compact subspaces (Every locally compact Hausdorff group has an open sigma-compact subgroup).

[F10]

Haar measure is Radon under the repository convention; the Borel sigma-algebra is generated by the open sets (Radon measure on an LCH space, The Borel sigma-algebra of a topological space).

[F11]

On a sigma-finite measure space, every bounded real-linear functional on real L1 is integration against a real L∞ function (On a sigma-finite measure space, every bounded linear functional on Lp is integration against a unique Lq function).

[F12]

The complex Haar L1 spaces are Borel almost-everywhere classes with the stated L1 norm (Complex Haar L^p spaces and compactly supported functions).

[F13]

Under AC, Cc(X;C) is dense in complex L1(X,μ) for an LCH space with Radon measure (Completeness of the complex Haar L1 and L2 spaces and density of Cc).

[F14]

Pointwise limits and their convergence sets are measurable, and monotone convergence applies to nonnegative sequences (Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable, Monotone convergence for the integral).

[F15]

Inversion satisfies ∫F(x−1) dμ(x)=∫F(x)ΔG(x−1) dμ(x) for nonnegative Borel F (Haar change of variables under inversion).

[F16]

Right translation satisfies ∫F(xz) dμ(x)=ΔG(z−1)∫F dμ (Right translation scales left Haar measure).

[F17]

The modular function is a continuous homomorphism (The modular function is a continuous homomorphism).

[F18]

The modular function ΔG is positive and is the factor appearing in the left-Haar inversion formula (Modular function of a locally compact group).

[F19]

Extended convolution is a bounded bilinear operation on L1 with ∥u∗v∥1≤∥u∥1∥v∥1 (Convolution on L1 of a locally compact group).

[F20]

The extended L1 convolution preserves probability densities: for all f,b∈P, f∗b∈P (the explicit remark recording the earlier proof's step 3.2, A UCB-invariant mean yields a topological invariant mean).

[F21]

For f∈L1 and φ∈L∞, the pointwise smoothing f∗φ is bounded continuous with ∥f∗φ∥sup⁡≤∥f∥1∥φ∥∞ (L1 convolution smooths bounded functions into UCB).

[F28]

Left Haar integration is left invariant and linear and satisfies the integral triangle inequality (Left Haar integral and left Haar measure, The Lebesgue integral is linear on L1(μ), The modulus of an integral is bounded by the integral of the modulus).

[F23]

The weak topology is defined by bounded linear functionals, and weak convergence of a net means convergence under every such functional (The dual space X^* of a normed space and its dual norm, Weak topology on a normed space, Weak convergence of nets and sequences).

[F24]

Weak-star convergence is convergence on every element of the predual (Weak star convergence).

[F25]

For a convex subset of a normed space, weak and norm closures agree under AC (Mazur theorem: weak and norm closure agree for convex sets).

[F26]

Nets may be indexed by directed preorders, including witness-indexed finite-test and tolerance triples (Directed preorders and nets).

[F27]

Proof

technique · direct
1.1F1F2F3F4construct

Choose an open relatively compact neighborhood V of e. By [F2, F3], 0<μ(V)<∞, and p0:=μ(V)−11V belongs to P; this also proves P is nonempty.

1.2A1F5F6F7F8algebra

Let ψ1,…,ψn be bounded continuous complex functions and put z(x)=(ψ1(x),…,ψn(x))∈Cn, viewed as a real vector space with its maximum norm. The vector v=(m~(ψ1),…,m~(ψn)) lies in C:=co⁡‾(z(G)): otherwise a ball B(v,r) and C are disjoint convex sets, so [F8] strictly separates them by a nonzero real-linear functional ℓ. Choose a unit vector w with ℓ(w)>0; applying separation to v+rw/2∈B(v,r) gives ℓ(v)<inf⁡c∈Cℓ(c)=inf⁡x∈Gℓ(z(x)). Now h(x):=ℓ(z(x)) is bounded continuous and real-valued, and ℓ(v)=m~(h). For real u, u=u+−u− makes m~(u) real, so m~(Re⁡ψ)=Re⁡m~(ψ) and similarly for imaginary parts; positivity and normalization give m~(h)≥inf⁡Gh, a contradiction.

1.3A1F3F9F10chooseconstruct

We first show that every bounded complex-linear functional Λ on L1(G) is represented by a bounded Borel function. Let H=⋃nUn be as in [F9], choose one representative tC for each clopen left coset C=tCH using [A1], and put KC,n=tCUn. Each C is the increasing union of compact sets KC,n of finite Haar measure, hence its restricted Haar measure is sigma-finite. Since C is clopen, it is an LCH subspace and its restricted measure is Radon: Borel subsets of C are Borel in G, and open subsets of C are open in G.

1.4A1F11F12constructalgebra

For each coset C, restrict Λ to complex L1 functions supported in C. On real functions its real and imaginary parts are bounded real-linear functionals of norm at most ∥Λ∥; [F11] represents them by real aC,bC∈L∞(C) with ∥aC∥∞,∥bC∥∞≤∥Λ∥. Thus ϕC:=aC+ibC represents Λ on complex functions supported in C and ∣ϕC∣≤2∥Λ∥ almost everywhere. Choose Borel representatives and set them to zero on their exceptional null sets.

1.5A1F13chooseconstruct

Put R=2∥Λ∥. For each C,n, the bounded function ϕC1KC,n is in L1(C); by [F13] choose qC,n∈Cc(C) within 2−n−2 in L1. Radially clip qC,n to the closed disk of radius R, obtaining hC,n∈Cc(C) with ∥hC,n−ϕC1KC,n∥1<2−n−1: pointwise, if ∣qC,n∣>R then ∣qC,n−hC,n∣=∣qC,n∣−R≤∣qC,n−ϕC1KC,n∣, and otherwise clipping does nothing, so the triangle inequality gives the stated factor two.

1.6F15F17F18F19F22algebraF28

If f=0 or v=0, the adjoint identity below has both sides zero. Otherwise their compact supports are nonempty. For f,v∈Cc(G) and bounded Borel φ, define f♯(u):=ΔG(u−1)f(u−1). The adjoint identity ∫G(f∗v)φ=∫Gv(f♯∗φ) holds first for bounded continuous φ: apply [F22] to the compactly supported continuous kernel (y,z)↦f(y)v(z)φ(yz), use left invariance to set x=yz, interchange the compact Radon integrals, and use inversion [F15] in ∫yf(y)φ(yz).

2.1F1F2F3F4step 1.1step 1.2constructalgebra

If the finite test family is empty, take b:=p0 from step 1.1. Otherwise, given ε>0, choose a finite convex combination ∑k=1rtkz(xk) within ε/2 of v. Continuity of the finite family gives, for each k, an open neighborhood Ok of xk on which ∣ψj(y)−ψj(xk)∣<ε/2 for every j; shrink it to a relatively compact open Vk⊆Ok. Then pk:=μ(Vk)−11Vk∈P by [F3], and b:=∑ktkpk∈P by [F1] satisfies ∣∫bψj dμ−m~(ψj)∣<ε for every j.

2.2F14step 1.5algebraconstruct

For fixed C,m and every n≥m, KC,m⊆KC,n, so ∫KC,m∣hC,n−ϕC∣ dμ<2−n−1. By [F14], the sum of these errors is finite almost everywhere on KC,m, hence hC,n→ϕC almost everywhere there. Since C=⋃mKC,m, convergence holds almost everywhere on each coset. Glue hC,n over the clopen cosets to a bounded continuous Hn on G. Applying the convergence-set and pointwise-limit clauses of [F14] to the real and imaginary parts shows that the convergence set of (Hn) is Borel and its limit there is Borel; set it to zero elsewhere to obtain a bounded Borel function ϕ agreeing almost everywhere with each ϕC on that coset. This uses only countable unions of exceptional null sets inside each individual coset.

2.3A1F13F15F16F17F18F19F21step 1.6algebraF28

For general bounded Borel φ, let K=supp⁡f, L=supp⁡v, and C=KL, which is compact; the pointwise Cc convolution f∗v vanishes off C. Since f♯∈L1 and φ is bounded Borel, [F21] makes f♯∗φ bounded continuous, so the right pairing is defined. Choose ψ∈Cc(G) with ∥ψ−φ1C∥1<η by [A1, F13]. The left pairing changes by at most ∥f∗v∥sup⁡η. For fixed z∈L, inversion and right translation give ∫K−1∣φ−ψ∣(u−1z) dμ(u)=∫K∣φ−ψ∣(tz)ΔG(t−1) dμ(t)≤MKMLη, where MK=sup⁡t∈KΔG(t−1) and ML=sup⁡z∈LΔG(z−1) are finite by [F17]. Since f♯ is bounded and supported in K−1, the right pairing changes by at most ∥v∥1∥f♯∥∞MKMLη. Letting η↓0 proves the identity for Cc f,v and arbitrary φ, without assuming a Borel product function is measurable for the product sigma-algebra.

3.1F26step 1.1step 2.1construct

Index by triples (F,ε,b) where F is a finite set of bounded continuous functions, ε>0, b∈P, and ∣∫bψ−m~(ψ)∣<ε for all ψ∈F; order by inclusion of F and decreasing ε. Steps 1.1 and 2.1 make this a nonempty directed preorder, since a witness for the union of two finite test sets and the smaller tolerance gives a common upper bound. The third-coordinate net (bi) therefore satisfies ∫biψ dμ→m~(ψ) for every bounded continuous ψ, without a global choice function.

3.2A1F12F13F27step 1.4step 2.2algebraF28

A compact set meets only finitely many open cosets C, since these cosets form an ambient open cover and [F27] supplies a finite subcover. Hence for every u∈Cc(G), step 1.4 and the cosetwise agreement in step 2.2 give Λ(u)=∫Guϕ dμ. By [A1, F13], Cc(G) is dense in L1(G); both sides are bounded functionals, with the integral norm at most 2∥Λ∥, so equality extends to every u∈L1(G). Thus the full bounded dual of L1(G) is represented by bounded Borel functions, without claiming that an uncountable union of null sets is null.

3.3A1F6F13F15F18F19F21step 2.3F28

For arbitrary f,v∈L1(G), approximate them in L1 by Cc sequences. The class convolution bound [F19] makes fn∗vn→f∗v in L1; the inversion formula gives ∥fn♯−f♯∥1=∥fn−f∥1, and the smoothing bound [F21] gives fn♯∗φ→f♯∗φ uniformly. Passing to the limit in step 2.3 proves ∫G(f∗v)φ=∫Gv(f♯∗φ) for all f,v∈L1(G) and φ∈L∞(G).

4.1F1F6F15F17F18F19F20F21F24step 1.1step 3.1step 3.3

Fix p:=p0∈P from step 1.1 and set gi:=p♯∗bi. Formula [F15] gives ∥p♯∥1=∥p∥1=1, preserves nonnegativity, and yields (p♯)♯=p; the earlier convolution-closure proof [F20] gives gi∈P. For every φ∈L∞(G), step 3.3 yields ∫giφ=∫bi(p∗φ)→m~(p∗φ)=m~(φ), since p∗φ is bounded continuous by [F21] and m~ is topologically invariant. Thus the density functionals gi converge weak-star to m~ on all of L∞(G), although the net bi was only chosen to approximate on continuous tests.

5.1F1F6F15F18F19F21F23step 3.2step 3.3step 4.1

Fix f∈P. Formula [F15] shows that f♯≥0 and ∥f♯∥1=∥f∥1=1, so f♯∈P. For every φ∈L∞(G), step 3.3 gives ∫(f∗gi)φ=∫gi(f♯∗φ)→m~(f♯∗φ)=m~(φ) by topological invariance, while step 4.1 gives ∫giφ→m~(φ). Hence ∫(f∗gi−gi)φ→0. By the full dual representation in step 3.2, every bounded functional on L1(G) is one of these pairings; therefore f∗gi−gi⇀0 weakly in L1(G).

6.1A1F1F19F23F25step 1.1step 5.1construct

Let F={f1,…,fr}⊆P be finite and nonempty. The tuple (fk∗gi−gi)k=1r converges weakly to zero in E=(L1(G))r with its maximum norm: each coordinate converges weakly by step 5.1, and every bounded functional on this finite product is the sum of its coordinate restrictions. Its range over i lies in the convex set D={(fk∗g−g)k=1r:g∈P}, since the map is linear in g and P is convex. Thus zero is in the weak closure of D; [F25] puts it in the norm closure, so for every ε>0 some g∈P satisfies max⁡k∥fk∗g−g∥1<ε. The empty F has any witness from step 1.1.

7.1F1F26step 6.1construct

Index by triples (F,ε,g) with finite F⊆P, ε>0, g∈P, and ∥f∗g−g∥1<ε for all f∈F, ordered by inclusion of F and decreasing tolerance. Step 6.1 makes this a nonempty directed preorder, so its third-coordinate net (gj) lies in P and satisfies ∥f∗gj−gj∥1→0 for each f∈P, without a global choice function.

8.1F1F19F27step 7.1∎

Let C⊆P be norm-compact and δ>0. If C=∅ the estimate is vacuous; otherwise choose a finite δ/3-net f1,…,fr∈C and take an index after these tests with tolerance δ/3. For every later j, choose fk with ∥f−fk∥1<δ/3; since gj∈P, [F19] gives ∥f∗gj−gj∥1≤∥(f−fk)∗gj∥1+∥fk∗gj−gj∥1<2δ/3<δ. This proves uniform convergence on C and completes the lemma.

Sources

BHV, Kazhdan's Property (T), Appendix G.3, Theorem G.3.1 (ii) to (iii), printed pp. 454–455, and Thomas, Lecture 20, slides 15–17, present the weak-star-density, product-space convexity, and Mazur route. Their proof strategies are followed after the density step, but the asserted density of L1 probabilities in the set of all L∞ means is not used: that separate assigned claim is refuted under the repository's Haar convention. This proof instead establishes finite-test density against bounded continuous functions, smooths by one fixed probability density to obtain weak-star convergence on all L∞ tests, and proves the full L1 dual representation locally over sigma-compact cosets.

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