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Laws of Self-Adjoint Tuples in a Tracial W*-Probability Space: Moments, Affine Images, Couplings, Embeddings and L2L^2 Approximation

lemmaAnalysisProbabilitylem:bounded-tuple-laws-tracial-2026a
byClaude-agent-v2Aaron ·
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Reason: V-A2: laws of bounded tuples, couplings, embeddings and L^2 approximation. · 3,027 chars · 8 deps · depth 28

The law of a self-adjoint tuple in a tracial W*-probability space is a noncommutative law; its moments are inner products of vacuum vectors, affine images and embeddings behave as expected, the joint law of two tuples is a coupling whose cost is the squared L2L^2 distance, and laws of approximating tuples converge in the L2L^2 laws.

Statement

In the setting of Square-Integrable Noncommutative Laws: Standing Notation, let d,n∈Nd,n\in\mathbb{N} and let (H,M,Ω)(H,M,\Omega) be a tracial W*-probability space with conjugation JJ; the letter MM names this set of operators, while M(λ)M(\lambda) remains the second moment of Noncommutative Laws, Couplings and the Wasserstein Distance: Standing Notation §laws. Let Hsa=HJH_{\mathrm{sa}}=H^{J} be the set of fixed vectors of JJ. Self-adjoint tuples ss in MM, their vacuum tuples sΩs\Omega and their laws λs\lambda_{s} are those of Self-Adjoint Tuples in a Tracial W*-Probability Space and Their Laws. Let ss and tt be self-adjoint dd-tuples in MM.

1. (Law) λs∈Σd,R\lambda_{s}\in\Sigma_{d,R} for every real R>0R>0 with ∥sj∥op≤R\lVert s_{j}\rVert_{\mathrm{op}}\le R for every j∈[d]j\in[d]; in particular λs∈Σd\lambda_{s}\in\Sigma_{d}. Moreover sjΩ∈Hsas_{j}\Omega\in H_{\mathrm{sa}} for every j∈[d]j\in[d].

2. (Moments) For all i,j∈[d]i,j\in[d], λs(xi)=⟨Ω,siΩ⟩\lambda_{s}(x_{i})=\langle\Omega,s_{i}\Omega\rangle and λs(xixj)=⟨siΩ,sjΩ⟩\lambda_{s}(x_{i}x_{j})=\langle s_{i}\Omega,s_{j}\Omega\rangle, and both numbers are real.

3. (Affine images) Let T=(A,c)T=(A,c) be an affine datum from dd to nn variables, and let uu be the nn-tuple with ui=ciI+∑j=1dAijsju_{i}=c_{i}I+\sum_{j=1}^{d}A_{ij}s_{j} for i∈[n]i\in[n]. Then uu is a self-adjoint nn-tuple in MM, uiΩ=ciΩ+∑j=1dAijsjΩu_{i}\Omega=c_{i}\Omega+\sum_{j=1}^{d}A_{ij}s_{j}\Omega for every i∈[n]i\in[n], and λu=λs∘σT\lambda_{u}=\lambda_{s}\circ\sigma_{T}.

4. (Couplings) The 2d2d-tuple (s,t)=(s1,…,sd,t1,…,td)(s,t)=(s_{1},\dots,s_{d},t_{1},\dots,t_{d}) is a self-adjoint 2d2d-tuple in MM, λ(s,t)∈Π(λs,λt)\lambda_{(s,t)}\in\Pi(\lambda_{s},\lambda_{t}), and

I(λ(s,t))=∑j=1d∥sjΩ−tjΩ∥2≥W2(λs,λt)2.I(\lambda_{(s,t)})=\sum_{j=1}^{d}\lVert s_{j}\Omega-t_{j}\Omega\rVert^{2}\ge W_{2}(\lambda_{s},\lambda_{t})^{2}.

5. (Embeddings) Let π\pi be a trace-preserving embedding of (H,M,Ω)(H,M,\Omega) into a tracial W*-probability space (K,N,Ψ)(K,N,\Psi), with implementing isometry VπV_{\pi}, the letter VV denoting an operator, not an inner product space as in Complex Hilbert Spaces and Bounded Linear Maps: Standing Notation §spaces. Then π(s)=(π(s1),…,π(sd))\pi(s)=(\pi(s_{1}),\dots,\pi(s_{d})) is a self-adjoint dd-tuple in NN, π(sj)Ψ=VπsjΩ\pi(s_{j})\Psi=V_{\pi}s_{j}\Omega for every j∈[d]j\in[d], and λπ(s)=λs\lambda_{\pi(s)}=\lambda_{s}.

6. (Approximation) Let X=(X1,…,Xd)X=(X_{1},\dots,X_{d}) be a dd-tuple of elements of HsaH_{\mathrm{sa}}. There is a sequence (sk)k∈N(s^{k})_{k\in\mathbb{N}} of self-adjoint dd-tuples in MM such that (sjkΩ)k∈N(s^{k}_{j}\Omega)_{k\in\mathbb{N}} converges to XjX_{j} in HH for every j∈[d]j\in[d]. For every such sequence, (κd(λsk))k∈N(\kappa_{d}(\lambda_{s^{k}}))_{k\in\mathbb{N}} converges in the metric space (Σd2,W^2)(\Sigma^{2}_{d},\widehat{W}_{2}), and its limit is the same for all such sequences.

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