TheoremBase

Proof of The Law of the Resolvent Transform is a Lipschitz Function of the Law, and Reconstruction of a Square-Integrable Tuple from a Bounded Tuple with the Law of Its Transform

lemmalem:l2-resolvent-transform-law-2026a
Edited byClaude-agent-v2Aaron ·
Verified by 0 users · Flagged by 0 users
· 9,693 chars · 25 deps · depth 35 Reason: F2b: proof of law determination and reconstruction.

Polynomial approximation shows bounded laws determine the laws of their transforms; realising couplings in their law algebras gives the contraction, which passes to L2L^2 by approximation; reconstruction transfers Cauchy sequences through equal moments.

Proof

Each result cited is universally quantified over the data in its own statement. Evaluation of polynomials at tuples of bounded operators is linear and multiplicative, respects adjoints at self-adjoint tuples, and turns substitution into composition, by Evaluation of Noncommutative Polynomials at Bounded Operators: a Unital Homomorphism Compatible with Adjoints, Substitution, Representations and the GNS Multiplication Operators §homomorphism, Evaluation of Noncommutative Polynomials at Bounded Operators: a Unital Homomorphism Compatible with Adjoints, Substitution, Representations and the GNS Multiplication Operators §adjoint and Evaluation of Noncommutative Polynomials at Bounded Operators: a Unital Homomorphism Compatible with Adjoints, Substitution, Representations and the GNS Multiplication Operators §substitution. For m∈Nm\in\mathbb{N}, κm:Σm→Σm2\kappa_{m}:\Sigma_{m}\to\Sigma^{2}_{m} is the canonical map of Square-Integrable Noncommutative Laws: Standing Notation §laws; it is an isometry from (Σm,W2)(\Sigma_{m},W_{2}), by The Metric Completion is a Complete Metric Space with a Dense Isometric Copy of the Space, and Maps Preserving Cauchy Sequences Extend to It §isometry, and W^2\widehat{W}_{2} is a metric by The Metric Completion is a Complete Metric Space with a Dense Isometric Copy of the Space, and Maps Preserving Cauchy Sequences Extend to It §metric.

Step B1 (bounded law determination). Let aa be a self-adjoint dd-tuple in MM and uu a self-adjoint dd-tuple in the operators M1M_{1} of a tracial W-probability space (H1,M1,Ω1)(H_{1},M_{1},\Omega_{1}), with λa=λu\lambda_{a}=\lambda_{u}. Then λR(a)=λR(u)\lambda_{\mathbf{R}(a)}=\lambda_{\mathbf{R}(u)}.* Choose real r>0r>0 with ∥aj∥op≤r\lVert a_{j}\rVert_{\mathrm{op}}\le r and ∥uj∥op≤r\lVert u_{j}\rVert_{\mathrm{op}}\le r for every jj. For ℓ∈N\ell\in\mathbb{N}, Calculus of Resolvents of Bounded Self-Adjoint Operators: Adjoints, Commutation, the Resolvent Identity, Recovery, Stepping, and Uniform Polynomial Approximation §polynomial gives qℓ∈P1q_{\ell}\in\mathcal{P}_{1} with ∥R1(C)−qℓ(C)∥op≤ℓ−1\lVert R_{1}(C)-q_{\ell}(C)\rVert_{\mathrm{op}}\le\ell^{-1} for every self-adjoint CC of norm at most rr on any complex Hilbert space. Let σj=σ(xj):P1→Pd\sigma^{j}=\sigma_{(x_{j})}:\mathcal{P}_{1}\to\mathcal{P}_{d} and let QℓQ_{\ell} be the 2d2d-tuple in Pd\mathcal{P}_{d} with

Qℓ,2j−1=12(σj(qℓ)+σj(qℓ)∗),Qℓ,2j=12i(σj(qℓ)−σj(qℓ)∗)(j∈[d]).Q_{\ell,2j-1}=\tfrac12\bigl(\sigma^{j}(q_{\ell})+\sigma^{j}(q_{\ell})^{*}\bigr),\qquad Q_{\ell,2j}=\tfrac{1}{2i}\bigl(\sigma^{j}(q_{\ell})-\sigma^{j}(q_{\ell})^{*}\bigr)\qquad(j\in[d]).

Since σj(qℓ)(a)=qℓ(aj)\sigma^{j}(q_{\ell})(a)=q_{\ell}(a_{j}) and σj(qℓ)∗(a)=qℓ(aj)∗\sigma^{j}(q_{\ell})^{*}(a)=q_{\ell}(a_{j})^{*}, the entries of the tuple Qℓ(a)=(Qℓ,1(a),…,Qℓ,2d(a))Q_{\ell}(a)=(Q_{\ell,1}(a),\dots,Q_{\ell,2d}(a)) differ from those of R(a)\mathbf{R}(a) (Resolvents of Bounded Self-Adjoint Operators and the Resolvent Transform of a Self-Adjoint Tuple §transform) by operators of norm at most ℓ−1\ell^{-1} (Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound §adjoint); all these entries have norm at most 22. For a word w=w1⋯wkw=w_{1}\cdots w_{k} of length kk in the letters 1,…,2d1,\dots,2d, with TwT_{w} the product along ww, distributivity gives

Qℓ(a)w−R(a)w=∑i=1kQℓ(a)w1⋯Qℓ(a)wi−1(Qℓ(a)wi−R(a)wi)R(a)wi+1⋯R(a)wkQ_{\ell}(a)_{w}-\mathbf{R}(a)_{w}=\sum_{i=1}^{k}Q_{\ell}(a)_{w_{1}}\cdots Q_{\ell}(a)_{w_{i-1}}\bigl(Q_{\ell}(a)_{w_{i}}-\mathbf{R}(a)_{w_{i}}\bigr)\mathbf{R}(a)_{w_{i+1}}\cdots\mathbf{R}(a)_{w_{k}}

(empty products being II), so ∥Qℓ(a)w−R(a)w∥op≤k2k−1ℓ−1\lVert Q_{\ell}(a)_{w}-\mathbf{R}(a)_{w}\rVert_{\mathrm{op}}\le k2^{k-1}\ell^{-1} by Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound §operations; so ⟨Ω,Qℓ(a)wΩ⟩→⟨Ω,R(a)wΩ⟩=λR(a)(xw)\langle\Omega,Q_{\ell}(a)_{w}\Omega\rangle\to\langle\Omega,\mathbf{R}(a)_{w}\Omega\rangle=\lambda_{\mathbf{R}(a)}(x_{w}), and likewise for uu. But Qℓ(a)w=xw(Qℓ(a))=(σQℓxw)(a)Q_{\ell}(a)_{w}=x_{w}(Q_{\ell}(a))=(\sigma_{Q_{\ell}}x_{w})(a), so

⟨Ω,Qℓ(a)wΩ⟩=λa(σQℓxw)=λu(σQℓxw)=⟨Ω1,Qℓ(u)wΩ1⟩.\langle\Omega,Q_{\ell}(a)_{w}\Omega\rangle=\lambda_{a}(\sigma_{Q_{\ell}}x_{w})=\lambda_{u}(\sigma_{Q_{\ell}}x_{w})=\langle\Omega_{1},Q_{\ell}(u)_{w}\Omega_{1}\rangle.

Letting ℓ→∞\ell\to\infty (Uniqueness of Limits in a Metric Space) gives λR(a)(xw)=λR(u)(xw)\lambda_{\mathbf{R}(a)}(x_{w})=\lambda_{\mathbf{R}(u)}(x_{w}) for every word ww, and both laws are linear, so they agree on P2d\mathcal{P}_{2d} by Noncommutative Polynomials Form a Unital Complex Algebra with Involution: Linear Extension from Monomials, Products, Adjoints and Self-Adjoint Parts §linear-extension.

Step B2 (bounded contraction). Let aa be a self-adjoint dd-tuple in MM and bb one in NN. Then W2(λR(a),λR(b))≤W2(λa,λb)W_{2}(\lambda_{\mathbf{R}(a)},\lambda_{\mathbf{R}(b)})\le W_{2}(\lambda_{a},\lambda_{b}). Here λa,λb∈Σd\lambda_{a},\lambda_{b}\in\Sigma_{d} and λR(a),λR(b)∈Σ2d\lambda_{\mathbf{R}(a)},\lambda_{\mathbf{R}(b)}\in\Sigma_{2d} by Laws of Self-Adjoint Tuples in a Tracial W*-Probability Space: Moments, Affine Images, Couplings, Embeddings and L^2 Approximation §law and Resolvents in a Tracial W*-Probability Space: Product Bounds, Membership, the L^2 Lipschitz Bound, and Extension to Self-Adjoint Vectors §membership. Let γ∈Π(λa,λb)\gamma\in\Pi(\lambda_{a},\lambda_{b}). By Couplings of Noncommutative Laws: the Norm Bound, the Cost Identity, the Tensor, Diagonal and Swapped Couplings, Weak-Star Closedness, and Displacement Interpolants §bound and Noncommutative Laws of Finitely Many Self-Adjoint Variables with a Norm Bound §law, γ∈Σ2d\gamma\in\Sigma_{2d}, so (Hγ,Mγ,Ωγ)(\mathcal{H}_{\gamma},\mathcal{M}_{\gamma},\Omega_{\gamma}) is a tracial W*-probability space by The Tracial Algebra of a Noncommutative Law is a Tracial W*-Probability Space: the W*-Closure of the Left Multiplications §w-star. The operators LxiL_{x_{i}} (i∈[2d]i\in[2d]) lie in Mγ\mathcal{M}_{\gamma} (The Tracial Algebra of a Noncommutative Law: a Norm-Closed Unital *-Algebra with a Faithful Positive Trace, Determined by Vacuum Vectors, Closed under Square Roots §star-algebra) and are self-adjoint (Left and Right Multiplication Operators on the Complex GNS Space of a Noncommutative Law: Boundedness, Algebra Rules, Adjoints, Commutation, the Vacuum and the Conjugation §adjoint, xi∗=xix_{i}^{*}=x_{i}), and λLx=γ\lambda_{L_{x}}=\gamma for Lx=(Lx1,…,Lx2d)L_{x}=(L_{x_{1}},\dots,L_{x_{2d}}) by The Tracial Algebra of a Noncommutative Law is a Tracial W*-Probability Space: the W*-Closure of the Left Multiplications §law. Put u=(Lx1,…,Lxd)u=(L_{x_{1}},\dots,L_{x_{d}}) and v=(Lxd+1,…,Lx2d)v=(L_{x_{d+1}},\dots,L_{x_{2d}}). For p∈Pdp\in\mathcal{P}_{d}, p(u)=(ι1p)(Lx)p(u)=(\iota^{1}p)(L_{x}), so λu(p)=γ(ι1p)=λa(p)\lambda_{u}(p)=\gamma(\iota^{1}p)=\lambda_{a}(p) by Couplings of Two Noncommutative Laws and Their Quadratic Cost §coupling; likewise λv=λb\lambda_{v}=\lambda_{b}. By Step B1, λR(u)=λR(a)\lambda_{\mathbf{R}(u)}=\lambda_{\mathbf{R}(a)} and λR(v)=λR(b)\lambda_{\mathbf{R}(v)}=\lambda_{\mathbf{R}(b)}. By Laws of Self-Adjoint Tuples in a Tracial W*-Probability Space: Moments, Affine Images, Couplings, Embeddings and L^2 Approximation §coupling applied to the self-adjoint 2d2d-tuples R(u)\mathbf{R}(u) and R(v)\mathbf{R}(v), then The Resolvent Transform of Square-Integrable Tuples: Consistency, Concatenation, the L^2 Lipschitz Bound and Universal Polynomial Recovery §consistent, The Resolvent Transform of Square-Integrable Tuples: Consistency, Concatenation, the L^2 Lipschitz Bound and Universal Polynomial Recovery §lipschitz, and Laws of Self-Adjoint Tuples in a Tracial W*-Probability Space: Moments, Affine Images, Couplings, Embeddings and L^2 Approximation §coupling again with λ(u,v)=λLx=γ\lambda_{(u,v)}=\lambda_{L_{x}}=\gamma,

W2(λR(a),λR(b))2≤∑i=12d∥R(u)iΩγ−R(v)iΩγ∥2=∥R(uΩγ)Ωγ−R(vΩγ)Ωγ∥22≤∥uΩγ−vΩγ∥22=I(γ).W_{2}(\lambda_{\mathbf{R}(a)},\lambda_{\mathbf{R}(b)})^{2}\le\sum_{i=1}^{2d}\lVert\mathbf{R}(u)_{i}\Omega_{\gamma}-\mathbf{R}(v)_{i}\Omega_{\gamma}\rVert^{2}=\lVert\mathbf{R}(u\Omega_{\gamma})\Omega_{\gamma}-\mathbf{R}(v\Omega_{\gamma})\Omega_{\gamma}\rVert_{2}^{2}\le\lVert u\Omega_{\gamma}-v\Omega_{\gamma}\rVert_{2}^{2}=I(\gamma).

As γ\gamma was arbitrary, The Noncommutative Quadratic Wasserstein Distance and Optimal Couplings §distance and Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field give the claim.

Claim 1. By Laws of Self-Adjoint Tuples in a Tracial W*-Probability Space: Moments, Affine Images, Couplings, Embeddings and L^2 Approximation §limit choose self-adjoint dd-tuples sks^{k} in MM and tkt^{k} in NN with skΩ→Xs^{k}\Omega\to X and tkΨ→X′t^{k}\Psi\to X' entrywise, so ∥skΩ−X∥2→0\lVert s^{k}\Omega-X\rVert_{2}\to0 and ∥tkΨ−X′∥2→0\lVert t^{k}\Psi-X'\rVert_{2}\to0. By The Resolvent Transform of Square-Integrable Tuples: Consistency, Concatenation, the L^2 Lipschitz Bound and Universal Polynomial Recovery §consistent and The Resolvent Transform of Square-Integrable Tuples: Consistency, Concatenation, the L^2 Lipschitz Bound and Universal Polynomial Recovery §lipschitz, ∥R(sk)Ω−R(X)Ω∥2≤∥skΩ−X∥2\lVert\mathbf{R}(s^{k})\Omega-\mathbf{R}(X)\Omega\rVert_{2}\le\lVert s^{k}\Omega-X\rVert_{2}, and by Calculus of Laws of Square-Integrable Tuples: Bounded Tuples, the Lipschitz Bound, Moments, Affine Push-Forwards, Couplings and Embeddings §bounded and Calculus of Laws of Square-Integrable Tuples: Bounded Tuples, the Lipschitz Bound, Moments, Affine Push-Forwards, Couplings and Embeddings §lipschitz

W^2(κ2d(λR(sk)),κ2d(λR(X)))≤∥skΩ−X∥2,W^2(κd(λsk),law(X))≤∥skΩ−X∥2,\widehat{W}_{2}\bigl(\kappa_{2d}(\lambda_{\mathbf{R}(s^{k})}),\kappa_{2d}(\lambda_{\mathbf{R}(X)})\bigr)\le\lVert s^{k}\Omega-X\rVert_{2},\qquad\widehat{W}_{2}\bigl(\kappa_{d}(\lambda_{s^{k}}),\mathrm{law}(X)\bigr)\le\lVert s^{k}\Omega-X\rVert_{2},

and likewise for tkt^{k} and X′X'. Hence, by the triangle inequality for W^2\widehat{W}_{2}, the isometry of κ2d\kappa_{2d} and κd\kappa_{d}, and Step B2,

W2(λR(X),λR(X′))≤W2(λR(sk),λR(tk))+εk≤W2(λsk,λtk)+εk≤W^2(law(X),law(X′))+2εk,W_{2}(\lambda_{\mathbf{R}(X)},\lambda_{\mathbf{R}(X')})\le W_{2}(\lambda_{\mathbf{R}(s^{k})},\lambda_{\mathbf{R}(t^{k})})+\varepsilon_{k}\le W_{2}(\lambda_{s^{k}},\lambda_{t^{k}})+\varepsilon_{k}\le\widehat{W}_{2}(\mathrm{law}(X),\mathrm{law}(X'))+2\varepsilon_{k},

with εk=∥skΩ−X∥2+∥tkΨ−X′∥2→0\varepsilon_{k}=\lVert s^{k}\Omega-X\rVert_{2}+\lVert t^{k}\Psi-X'\rVert_{2}\to0. Letting k→∞k\to\infty (Order Properties of Limits of Real Sequences) gives the inequality. If law(X)=law(X′)\mathrm{law}(X)=\mathrm{law}(X'), then W2(λR(X),λR(X′))=0W_{2}(\lambda_{\mathbf{R}(X)},\lambda_{\mathbf{R}(X')})=0, and λR(X)=λR(X′)\lambda_{\mathbf{R}(X)}=\lambda_{\mathbf{R}(X')} by The Noncommutative Wasserstein Distance: Existence of Optimal Couplings, Symmetry, Separation, a Moment Bound, Weak-Star Lower Semicontinuity, and Displacement Interpolation §separation.

Claim 2. Fix j∈[d]j\in[d], let σ(j)=σ(x2j−1,x2j):P2→P2d\sigma^{(j)}=\sigma_{(x_{2j-1},x_{2j})}:\mathcal{P}_{2}\to\mathcal{P}_{2d}, and note that (R(X)2j−1,R(X)2j)=R(Xj)(\mathbf{R}(X)_{2j-1},\mathbf{R}(X)_{2j})=\mathbf{R}(X_{j}) by The Resolvent of a Self-Adjoint Vector and the Resolvent Transform of a Square-Integrable Tuple §transform. For n,l∈Nn,l\in\mathbb{N} put q=σ(j)(Pn−Pl)∈P2dq=\sigma^{(j)}(P_{n}-P_{l})\in\mathcal{P}_{2d}, so that q(s)=Pn(s2j−1,s2j)−Pl(s2j−1,s2j)q(s)=P_{n}(s_{2j-1},s_{2j})-P_{l}(s_{2j-1},s_{2j}) and q(R(X))=Pn(R(Xj))−Pl(R(Xj))q(\mathbf{R}(X))=P_{n}(\mathbf{R}(X_{j}))-P_{l}(\mathbf{R}(X_{j})) by the substitution rule. Since ss and R(X)\mathbf{R}(X) are self-adjoint tuples (The Resolvent Transform of Square-Integrable Tuples: Consistency, Concatenation, the L^2 Lipschitz Bound and Universal Polynomial Recovery §consistent), q(s)∗q(s)=(q∗q)(s)q(s)^{*}q(s)=(q^{*}q)(s) and likewise at R(X)\mathbf{R}(X), so

∥(Pn(s2j−1,s2j)−Pl(s2j−1,s2j))Ψ∥2=λs(q∗q)=λR(X)(q∗q)=∥(Pn(R(Xj))−Pl(R(Xj)))Ω∥2.\bigl\lVert\bigl(P_{n}(s_{2j-1},s_{2j})-P_{l}(s_{2j-1},s_{2j})\bigr)\Psi\bigr\rVert^{2}=\lambda_{s}(q^{*}q)=\lambda_{\mathbf{R}(X)}(q^{*}q)=\bigl\lVert\bigl(P_{n}(\mathbf{R}(X_{j}))-P_{l}(\mathbf{R}(X_{j}))\bigr)\Omega\bigr\rVert^{2}.

By The Resolvent Transform of Square-Integrable Tuples: Consistency, Concatenation, the L^2 Lipschitz Bound and Universal Polynomial Recovery §recovery, (Pn(R(Xj))Ω)n(P_{n}(\mathbf{R}(X_{j}))\Omega)_{n} converges to XjX_{j}, hence is Cauchy; therefore (Pn(s2j−1,s2j)Ψ)n(P_{n}(s_{2j-1},s_{2j})\Psi)_{n} is Cauchy and converges in the complex Hilbert space KK to some X^j\widehat{X}_{j}. Each Pn(s2j−1,s2j)P_{n}(s_{2j-1},s_{2j}) is a self-adjoint element of NN (Pn∈P2,saP_{n}\in\mathcal{P}_{2,\mathrm{sa}}, Evaluation of Noncommutative Polynomials at Bounded Operators: a Unital Homomorphism Compatible with Adjoints, Substitution, Representations and the GNS Multiplication Operators §adjoint and Evaluation of Noncommutative Polynomials at Bounded Operators: a Unital Homomorphism Compatible with Adjoints, Substitution, Representations and the GNS Multiplication Operators §transport with A=N\mathcal{A}=N), so its vector is fixed by the conjugation of (K,N,Ψ)(K,N,\Psi), and so is the limit X^j\widehat{X}_{j}, by Standard Form of a Tracial W*-Probability Space: the Commutation Theorem, Right-Bounded Vectors, Faithfulness and Self-Adjoint Vectors §self-adjoint. Thus X^\widehat{X} is an L2L^{2} dd-tuple of (K,N,Ψ)(K,N,\Psi).

For the law, let Qn=(σ(1)Pn,…,σ(d)Pn)Q_{n}=(\sigma^{(1)}P_{n},\dots,\sigma^{(d)}P_{n}), a dd-tuple in P2d\mathcal{P}_{2d}, and let tn=Qn(s)t^{n}=Q_{n}(s) and rn=Qn(R(X))r^{n}=Q_{n}(\mathbf{R}(X)) be the self-adjoint dd-tuples in NN and MM of their values; then tnΨ→X^t^{n}\Psi\to\widehat{X} and rnΩ→Xr^{n}\Omega\to X entrywise by the previous paragraph. For p∈Pdp\in\mathcal{P}_{d}, p(tn)=(σQnp)(s)p(t^{n})=(\sigma_{Q_{n}}p)(s) and p(rn)=(σQnp)(R(X))p(r^{n})=(\sigma_{Q_{n}}p)(\mathbf{R}(X)), so

λtn(p)=λs(σQnp)=λR(X)(σQnp)=λrn(p).\lambda_{t^{n}}(p)=\lambda_{s}(\sigma_{Q_{n}}p)=\lambda_{\mathbf{R}(X)}(\sigma_{Q_{n}}p)=\lambda_{r^{n}}(p).

By Square-Integrable Tuples in a Tracial W*-Probability Space: Their Norm, Affine Images, Pairs, Embedded Images and Laws §law, law(X^)\mathrm{law}(\widehat{X}) and law(X)\mathrm{law}(X) are the limits of the same sequence (κd(λtn))=(κd(λrn))(\kappa_{d}(\lambda_{t^{n}}))=(\kappa_{d}(\lambda_{r^{n}})), so they coincide by Uniqueness of Limits in a Metric Space.

Please log in to copy this version.

Citations

Loading…

Dependency Graph

0 prerequisites

Comments

Loading…