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Proof of The Resolvent Transform of Square-Integrable Tuples: Consistency, Concatenation, the L2L^2 Lipschitz Bound and Universal Polynomial Recovery

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· 8,039 chars · 16 deps · depth 34 Reason: F2b: proof of the transform basics and universal recovery.

Entrywise computation and the orthogonality identity give consistency and the Lipschitz bound; polynomial approximations of y2y^2 Re RyR_y, 1-Lipschitz in L2L^2, give universal recovery.

Proof

Each result cited is universally quantified over the data in its own statement. Throughout, (H,M,Ω)(H,M,\Omega) is a tracial W*-probability space; M=(M′)′M=(M')' is closed under sums and complex multiples by Basic Properties of Commutants: Unital Algebras Closed under Weak Limits, Order Reversal, the Triple Commutant, and Conjugation §algebra; norm bounds for sums, scalar multiples, composites and adjoints are those of Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound §operations and Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound §adjoint; and for ξ∈Hsa\xi\in H_{\mathrm{sa}}, R1(ξ)∈MR_{1}(\xi)\in M with ∥R1(ξ)∥op≤1\lVert R_{1}(\xi)\rVert_{\mathrm{op}}\le1 by The Resolvent of a Self-Adjoint Vector and the Resolvent Transform of a Square-Integrable Tuple §resolvent and Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §extension.

Step A (continuity of polynomials in L2L^{2}). Let n∈Nn\in\mathbb{N}, let t=(t1,…,tn)t=(t_{1},\dots,t_{n}) and tk=(t1k,…,tnk)t^{k}=(t^{k}_{1},\dots,t^{k}_{n}) (k∈Nk\in\mathbb{N}) be nn-tuples in MM whose entries have operator norm at most 11, and suppose tikΩ→tiΩt^{k}_{i}\Omega\to t_{i}\Omega for every i∈[n]i\in[n]. Then p(tk)Ω→p(t)Ωp(t^{k})\Omega\to p(t)\Omega for every p∈Pnp\in\mathcal{P}_{n}. Indeed, for a word ww of length ℓ∈N\ell\in\mathbb{N}, distributivity gives

twk−tw=∑i=1ℓtw1k⋯twi−1k (twik−twi) twi+1⋯twℓ,t^{k}_{w}-t_{w}=\sum_{i=1}^{\ell}t^{k}_{w_{1}}\cdots t^{k}_{w_{i-1}}\,(t^{k}_{w_{i}}-t_{w_{i}})\,t_{w_{i+1}}\cdots t_{w_{\ell}},

the empty products being II, and by Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §products (first inequality, then second) and Evaluation of Noncommutative Polynomials at Bounded Operators: a Unital Homomorphism Compatible with Adjoints, Substitution, Representations and the GNS Multiplication Operators §bound with R=1R=1 each term applied to Ω\Omega has norm at most ∥(twik−twi)Ω∥\lVert(t^{k}_{w_{i}}-t_{w_{i}})\Omega\rVert, which tends to 00; for the empty word both sides equal II. Since pp is a finite linear combination of monomials and evaluation is linear (Evaluation of Noncommutative Polynomials at a Tuple of Bounded Operators §evaluation), the claim follows.

Claim 1. Let j∈[d]j\in[d] and R=R1(Xj)∈MR=R_{1}(X_{j})\in M. The entries 12(R+R∗)\tfrac12(R+R^{*}) and 12i(R−R∗)\tfrac{1}{2i}(R-R^{*}) of R(X)\mathbf{R}(X) lie in MM, are self-adjoint because (12(R+R∗))∗=12(R∗+R)(\tfrac12(R+R^{*}))^{*}=\tfrac12(R^{*}+R) and (12i(R−R∗))∗=−12i(R∗−R)(\tfrac{1}{2i}(R-R^{*}))^{*}=-\tfrac{1}{2i}(R^{*}-R) (Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound §adjoint-calculus), and have operator norm at most 12(∥R∥op+∥R∗∥op)≤1\tfrac12(\lVert R\rVert_{\mathrm{op}}+\lVert R^{*}\rVert_{\mathrm{op}})\le1. So R(X)\mathbf{R}(X) is a self-adjoint 2d2d-tuple in MM as in Self-Adjoint Tuples in a Tracial W*-Probability Space and Their Laws §tuple. If ss is a self-adjoint dd-tuple in MM, then R1(sjΩ)=R1(sj)R_{1}(s_{j}\Omega)=R_{1}(s_{j}) for every jj by Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §extension, so the entries of R(sΩ)\mathbf{R}(s\Omega) (The Resolvent of a Self-Adjoint Vector and the Resolvent Transform of a Square-Integrable Tuple §transform) and of R(s)\mathbf{R}(s) (Resolvents of Bounded Self-Adjoint Operators and the Resolvent Transform of a Self-Adjoint Tuple §transform) coincide. Finally, the ii-th entry of the pair (X,Y)(X,Y) (Square-Integrable Tuples in a Tracial W*-Probability Space: Their Norm, Affine Images, Pairs, Embedded Images and Laws §operations) is XiX_{i} for i∈[d]i\in[d] and Yi−dY_{i-d} for d<i≤d+md<i\le d+m; so for i∈[d]i\in[d] the entries 2i−1,2i2i-1,2i of R((X,Y))\mathbf{R}((X,Y)) are the entries 2i−1,2i2i-1,2i of R(X)\mathbf{R}(X), and for i=d+li=d+l with l∈[m]l\in[m] the entries 2d+2l−1,2d+2l2d+2l-1,2d+2l of R((X,Y))\mathbf{R}((X,Y)) are the entries 2l−1,2l2l-1,2l of R(Y)\mathbf{R}(Y).

Claim 2. By Claim 1 and Calculus of Laws of Square-Integrable Tuples: Bounded Tuples, the Lipschitz Bound, Moments, Affine Push-Forwards, Couplings and Embeddings §bounded, R(X)Ω\mathbf{R}(X)\Omega and R(Y)Ω\mathbf{R}(Y)\Omega are L2L^{2} 2d2d-tuples. Fix j∈[d]j\in[d] and put Δj=R1(Xj)−R1(Yj)∈M\Delta_{j}=R_{1}(X_{j})-R_{1}(Y_{j})\in M. Choose sequences (sk)(s_{k}), (tk)(t_{k}) of self-adjoint elements of MM with skΩ→Xjs_{k}\Omega\to X_{j} and tkΩ→Yjt_{k}\Omega\to Y_{j} (Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §extension). By Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §lipschitz with y=1y=1, ∥R1(sk)Ω−R1(tk)Ω∥≤∥skΩ−tkΩ∥\lVert R_{1}(s_{k})\Omega-R_{1}(t_{k})\Omega\rVert\le\lVert s_{k}\Omega-t_{k}\Omega\rVert; letting k→∞k\to\infty with Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §extension and Order Properties of Limits of Real Sequences gives ∥ΔjΩ∥≤∥Xj−Yj∥\lVert\Delta_{j}\Omega\rVert\le\lVert X_{j}-Y_{j}\rVert. The entries 2j−1,2j2j-1,2j of R(X)−R(Y)\mathbf{R}(X)-\mathbf{R}(Y) are 12(Δj+Δj∗)\tfrac12(\Delta_{j}+\Delta_{j}^{*}) and 12i(Δj−Δj∗)\tfrac{1}{2i}(\Delta_{j}-\Delta_{j}^{*}), so by the identity of Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §products and Square-Integrable Tuples in a Tracial W*-Probability Space: Their Norm, Affine Images, Pairs, Embedded Images and Laws §tuples,

∥R(X)Ω−R(Y)Ω∥22=∑j=1d∥ΔjΩ∥2≤∑j=1d∥Xj−Yj∥2=∥X−Y∥22,\lVert\mathbf{R}(X)\Omega-\mathbf{R}(Y)\Omega\rVert_{2}^{2}=\sum_{j=1}^{d}\lVert\Delta_{j}\Omega\rVert^{2}\le\sum_{j=1}^{d}\lVert X_{j}-Y_{j}\rVert^{2}=\lVert X-Y\rVert_{2}^{2},

and the claim follows by Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field.

Claim 3. Construction. For n∈Nn\in\mathbb{N}, Calculus of Resolvents of Bounded Self-Adjoint Operators: Adjoints, Commutation, the Resolvent Identity, Recovery, Stepping, and Uniform Polynomial Approximation §transform with s=ns=n and ε=n−3\varepsilon=n^{-3} gives pn∈P2p_{n}\in\mathcal{P}_{2} with ∥Rn(C)−pn(R(C))∥op≤n−3\lVert R_{n}(C)-p_{n}(\mathbf{R}(C))\rVert_{\mathrm{op}}\le n^{-3} for every complex Hilbert space KK and every self-adjoint C∈L(K)C\in\mathcal{L}(K). Put Pn=n22(pn+pn∗)P_{n}=\tfrac{n^{2}}{2}(p_{n}+p_{n}^{*}); it belongs to P2,sa\mathcal{P}_{2,\mathrm{sa}} since the adjoint of The Algebra of Noncommutative Polynomials in Finitely Many Self-Adjoint Variables §adjoint is additive and involutive (Noncommutative Polynomials Form a Unital Complex Algebra with Involution: Linear Extension from Monomials, Products, Adjoints and Self-Adjoint Parts) and n2/2n^{2}/2 is real. The sequence (Pn)(P_{n}) is fixed once and for all.

Bounded case. For self-adjoint a∈Ma\in M put gn(a)=n22(Rn(a)+R−n(a))∈Mg_{n}(a)=\tfrac{n^{2}}{2}(R_{n}(a)+R_{-n}(a))\in M (Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §membership). The entries of R(a)\mathbf{R}(a) are self-adjoint (Calculus of Resolvents of Bounded Self-Adjoint Operators: Adjoints, Commutation, the Resolvent Identity, Recovery, Stepping, and Uniform Polynomial Approximation §parts), so pn∗(R(a))=pn(R(a))∗p_{n}^{*}(\mathbf{R}(a))=p_{n}(\mathbf{R}(a))^{*} by Evaluation of Noncommutative Polynomials at Bounded Operators: a Unital Homomorphism Compatible with Adjoints, Substitution, Representations and the GNS Multiplication Operators §adjoint, and with R−n(a)=Rn(a)∗R_{-n}(a)=R_{n}(a)^{*} (Calculus of Resolvents of Bounded Self-Adjoint Operators: Adjoints, Commutation, the Resolvent Identity, Recovery, Stepping, and Uniform Polynomial Approximation §adjoint),

gn(a)−Pn(R(a))=n22((Rn(a)−pn(R(a)))+(Rn(a)−pn(R(a)))∗),g_{n}(a)-P_{n}(\mathbf{R}(a))=\tfrac{n^{2}}{2}\Bigl(\bigl(R_{n}(a)-p_{n}(\mathbf{R}(a))\bigr)+\bigl(R_{n}(a)-p_{n}(\mathbf{R}(a))\bigr)^{*}\Bigr),

of operator norm at most n2n−3=n−1n^{2}n^{-3}=n^{-1}. With Calculus of Resolvents of Bounded Self-Adjoint Operators: Adjoints, Commutation, the Resolvent Identity, Recovery, Stepping, and Uniform Polynomial Approximation §recovery this gives

∥aΩ−Pn(R(a))Ω∥≤∥a−gn(a)∥op+n−1≤∥a∥op3n2+1n.\lVert a\Omega-P_{n}(\mathbf{R}(a))\Omega\rVert\le\lVert a-g_{n}(a)\rVert_{\mathrm{op}}+n^{-1}\le\frac{\lVert a\rVert_{\mathrm{op}}^{3}}{n^{2}}+\frac1n.

Moreover, for self-adjoint a,b∈Ma,b\in M, gn(a)−gn(b)=n22(Δ+Δ∗)g_{n}(a)-g_{n}(b)=\tfrac{n^{2}}{2}(\Delta+\Delta^{*}) with Δ=Rn(a)−Rn(b)\Delta=R_{n}(a)-R_{n}(b), so by Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §products (the identity) and Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §lipschitz with y=ny=n,

∥gn(a)Ω−gn(b)Ω∥≤n2∥ΔΩ∥≤∥aΩ−bΩ∥.\lVert g_{n}(a)\Omega-g_{n}(b)\Omega\rVert\le n^{2}\lVert\Delta\Omega\rVert\le\lVert a\Omega-b\Omega\rVert.

General case. Let ξ∈Hsa\xi\in H_{\mathrm{sa}} and choose self-adjoint sk∈Ms_{k}\in M with skΩ→ξs_{k}\Omega\to\xi (Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §extension). For fixed nn: by Claim 1, R(sk)=R(skΩ)\mathbf{R}(s_{k})=\mathbf{R}(s_{k}\Omega) for the 11-tuple (sk)(s_{k}), and by Claim 2 its entries applied to Ω\Omega converge to those of R(ξ)\mathbf{R}(\xi); all entries have operator norm at most 11 (Claim 1), so Step A gives Pn(R(sk))Ω→Pn(R(ξ))ΩP_{n}(\mathbf{R}(s_{k}))\Omega\to P_{n}(\mathbf{R}(\xi))\Omega as k→∞k\to\infty.

Let ε>0\varepsilon>0. Choose m∈Nm\in\mathbb{N} with ∥ξ−smΩ∥≤ε\lVert\xi-s_{m}\Omega\rVert\le\varepsilon, and, by The Archimedean Property of the Real Numbers, N∈NN\in\mathbb{N} with N−1≤εN^{-1}\le\varepsilon and ∥sm∥op3N−2≤ε\lVert s_{m}\rVert_{\mathrm{op}}^{3}N^{-2}\le\varepsilon. For n≥Nn\ge N and every kk, the two bounded estimates give

∥skΩ−Pn(R(sk))Ω∥≤∥skΩ−gn(sk)Ω∥+1n≤∥skΩ−smΩ∥+∥smΩ−gn(sm)Ω∥+∥gn(sm)Ω−gn(sk)Ω∥+1n≤2∥skΩ−smΩ∥+2ε,\lVert s_{k}\Omega-P_{n}(\mathbf{R}(s_{k}))\Omega\rVert\le\lVert s_{k}\Omega-g_{n}(s_{k})\Omega\rVert+\tfrac1n\le\lVert s_{k}\Omega-s_{m}\Omega\rVert+\lVert s_{m}\Omega-g_{n}(s_{m})\Omega\rVert+\lVert g_{n}(s_{m})\Omega-g_{n}(s_{k})\Omega\rVert+\tfrac1n\le2\lVert s_{k}\Omega-s_{m}\Omega\rVert+2\varepsilon,

where the first inequality repeats the bounded-case computation with ∥(gn(sk)−Pn(R(sk)))Ω∥≤n−1\lVert(g_{n}(s_{k})-P_{n}(\mathbf{R}(s_{k})))\Omega\rVert\le n^{-1}. Hence

∥ξ−Pn(R(ξ))Ω∥≤∥ξ−skΩ∥+2∥skΩ−smΩ∥+2ε+∥Pn(R(sk))Ω−Pn(R(ξ))Ω∥\lVert\xi-P_{n}(\mathbf{R}(\xi))\Omega\rVert\le\lVert\xi-s_{k}\Omega\rVert+2\lVert s_{k}\Omega-s_{m}\Omega\rVert+2\varepsilon+\lVert P_{n}(\mathbf{R}(s_{k}))\Omega-P_{n}(\mathbf{R}(\xi))\Omega\rVert

for every kk. Letting k→∞k\to\infty (Order Properties of Limits of Real Sequences), the first and last terms tend to 00 and ∥skΩ−smΩ∥→∥ξ−smΩ∥≤ε\lVert s_{k}\Omega-s_{m}\Omega\rVert\to\lVert\xi-s_{m}\Omega\rVert\le\varepsilon, so ∥ξ−Pn(R(ξ))Ω∥≤4ε\lVert\xi-P_{n}(\mathbf{R}(\xi))\Omega\rVert\le4\varepsilon for every n≥Nn\ge N. As ε>0\varepsilon>0 was arbitrary, Pn(R(ξ))Ω→ξP_{n}(\mathbf{R}(\xi))\Omega\to\xi; the sequence (Pn)(P_{n}) does not depend on (H,M,Ω)(H,M,\Omega) or ξ\xi.

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