Laws of Self-Adjoint Tuples in a Tracial W*-Probability Space: Moments, Affine Images, Couplings, Embeddings and Approximation
lemmaAnalysisProbabilitylem:bounded-tuple-laws-tracial-2026aThe 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 distance, and laws of approximating tuples converge in the laws.
In the setting of Square-Integrable Noncommutative Laws: Standing Notation, let and let be a tracial W*-probability space with conjugation ; the letter names this set of operators, while remains the second moment of Noncommutative Laws, Couplings and the Wasserstein Distance: Standing Notation §laws. Let be the set of fixed vectors of . Self-adjoint tuples in , their vacuum tuples and their laws are those of Self-Adjoint Tuples in a Tracial W*-Probability Space and Their Laws. Let and be self-adjoint -tuples in .
1. (Law)¶ for every real with for every ; in particular . Moreover for every .
2. (Moments)¶ For all , and , and both numbers are real.
3. (Affine images)¶ Let be an affine datum from to variables, and let be the -tuple with for . Then is a self-adjoint -tuple in , for every , and .
4. (Couplings)¶ The -tuple is a self-adjoint -tuple in , , and
5. (Embeddings)¶ Let be a trace-preserving embedding of into a tracial W*-probability space , with implementing isometry , the letter denoting an operator, not an inner product space as in Complex Hilbert Spaces and Bounded Linear Maps: Standing Notation §spaces. Then is a self-adjoint -tuple in , for every , and .
6. (Approximation)¶ Let be a -tuple of elements of . There is a sequence of self-adjoint -tuples in such that converges to in for every . For every such sequence, converges in the metric space , and its limit is the same for all such sequences.
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