TheoremBase

Proof

Throughout, measurability of real-valued functions on R\mathbf{R} is measurability with respect to R\mathcal{R} and the Borel σ\sigma-algebra of the real line, and the following two shorthands are used on an arbitrary measure space (below: (R,R,ρ)(\mathbf{R},\mathcal{R},\rho), and in Step 1 the interval [0,T][0,T]). Linearity refers to claim 2 of Linearity and Monotonicity of the Lebesgue Integral (finite linear combinations of integrable functions are integrable, by induction on the number of terms, the integral is linear, ∣∫f dρ∣≤∫∣f∣ dρ|\int f\,d\rho|\le\int|f|\,d\rho, and ∫f dρ≤∫g dρ\int f\,d\rho\le\int g\,d\rho when f≤gf\le g pointwise), and domination refers to the following consequence of claims 1 and 2 of that theorem and of Integrable Function and the Lebesgue Integral (a measurable ff is integrable if and only if ∫∣f∣ dρ<∞\int|f|\,d\rho<\infty): if ff is measurable and ∣f∣≤g|f|\le g pointwise with gg integrable, then ff is integrable and ∣∫f dρ∣≤∫∣f∣ dρ≤∫g dρ|\int f\,d\rho|\le\int|f|\,d\rho\le\int g\,d\rho. Sums, scalar multiples, products, absolute values and indicators of measurable functions are measurable by claims 1--4 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, absolute-value arithmetic refers to claims 4 and 5 of Properties of the Absolute Value in an Ordered Field (multiplicativity ∣xy∣=∣x∣∣y∣|xy|=|x||y| and the two-term triangle inequality), and triangle inequality means claim 2 of Comparison and Absolute Value Bounds for Finite Sums of Real Numbers (∣∑kak∣≤∑k∣ak∣|\sum_ka_k|\le\sum_k|a_k|), used together with the comparison of claim 1 there. We write 1A\mathbf{1}_A for the indicator of A⊆RA\subseteq\mathbf{R} and Nc=R∖N\mathsf{N}^{c}=\mathbf{R}\setminus\mathsf{N}.

Step 0 (the null set). (a) For every measurable h:R→[0,∞)h:\mathbf{R}\to[0,\infty), ∫Rh1N dρ=0\int_{\mathbf{R}}h\mathbf{1}_{\mathsf{N}}\,d\rho=0. Indeed, for every natural number kk the function min⁡(h,k)1N\min(h,k)\mathbf{1}_{\mathsf{N}} is measurable, nonnegative and at most k1Nk\mathbf{1}_{\mathsf{N}}, whose integral is 00 by Simple Function and Its Integral (it takes the value kk on N\mathsf{N} and 00 on Nc\mathsf{N}^{c}; in every case, including k=0k=0, N=∅\mathsf{N}=\emptyset and N=R\mathsf{N}=\mathbf{R}, the standard representation of that definition and its convention 0⋅∞=00\cdot\infty=0 give the value kρ(N)+0⋅ρ(Nc)=0k\rho(\mathsf{N})+0\cdot\rho(\mathsf{N}^{c})=0); so 0≤∫min⁡(h,k)1N dρ≤00\le\int\min(h,k)\mathbf{1}_{\mathsf{N}}\,d\rho\le0 by monotonicity (claim 1 of Linearity and Monotonicity of the Lebesgue Integral) and the nonnegativity of the integral of Lebesgue Integral of a Nonnegative Measurable Function, and Monotone Convergence Theorem applied to the nondecreasing sequence (min⁡(h,k)1N)k(\min(h,k)\mathbf{1}_{\mathsf{N}})_{k}, whose pointwise supremum is h1Nh\mathbf{1}_{\mathsf{N}}, gives the assertion. (b) (Almost-everywhere majorant) Let f:R→Rf:\mathbf{R}\to\mathbb{R} be measurable, let g:R→[0,∞)g:\mathbf{R}\to[0,\infty) be integrable, and let c,M≥0c,M\ge0 be real numbers with ∣f∣≤c g|f|\le c\,g on Nc\mathsf{N}^{c} and ∣f∣≤Mg|f|\le M g on N\mathsf{N}. Then ff is integrable and ∣∫f dρ∣≤c∫g dρ|\int f\,d\rho|\le c\int g\,d\rho. Indeed, g1=c g1Nc+Mg1Ng_1=c\,g\mathbf{1}_{\mathsf{N}^{c}}+Mg\mathbf{1}_{\mathsf{N}} is measurable with ∣f∣≤g1≤max⁡(c,M) g|f|\le g_1\le\max(c,M)\,g pointwise, and max⁡(c,M) g\max(c,M)\,g is integrable by linearity, so g1g_1 and then ff are integrable by domination, and by linearity, monotonicity (g1Nc≤gg\mathbf{1}_{\mathsf{N}^{c}}\le g) and (a), ∣∫f dρ∣≤∫g1 dρ=c∫g1Nc dρ+M∫g1N dρ≤c∫g dρ|\int f\,d\rho|\le\int g_1\,d\rho=c\int g\mathbf{1}_{\mathsf{N}^{c}}\,d\rho+M\int g\mathbf{1}_{\mathsf{N}}\,d\rho\le c\int g\,d\rho.

Step 1 (claim 1, for an arbitrary parameter). Let ϑ>0\vartheta>0 be a real number and let μ′,μ′′\mu',\mu'' be relative ϑ\vartheta-perturbations of μ\mu off N\mathsf{N} with bounds μˉ′,μˉ′′\bar\mu',\bar\mu''; we show ∣E(r)∣≤l~Tμˉϑ2|E(r)|\le\tilde{l}T\bar\mu\vartheta^{2} for r∈Ncr\in\mathsf{N}^{c}, which for ϑ=η\vartheta=\eta is the first assertion of claim 1. By claims 1 and 3 of Integer Power Products of Causal-Intensity Likelihoods: Pathwise Identity, Integral Bounds, and the Pair Identity applied to (μ,μ′,μ′′)(\mu,\mu',\mu'') with exponents (−1,1,1)(-1,1,1), μ~\tilde\mu is a causal intensity and E(r)=Λ~T(r)+ΛT(r)−ΛT′(r)−ΛT′′(r)E(r)=\tilde\Lambda_T(r)+\Lambda_T(r)-\Lambda'_T(r)-\Lambda''_T(r), where Λ~T(r)\tilde\Lambda_T(r), ΛT(r)\Lambda_T(r), ΛT′(r)\Lambda'_T(r), ΛT′′(r)\Lambda''_T(r) are the integrals over [0,T][0,T] of the total intensities s↦μ~stot(r)s\mapsto\tilde\mu^{\mathrm{tot}}_s(r), μstot(r)\mu^{\mathrm{tot}}_s(r), μs′tot(r)\mu'^{\mathrm{tot}}_s(r), μs′′tot(r)\mu''^{\mathrm{tot}}_s(r); each of these four functions of ss is measurable with respect to the trace Borel σ\sigma-algebra B[0,T]\mathcal{B}_{[0,T]} and bounded (Likelihood of a Causal Intensity on the Observation Record Space), hence integrable with respect to the measure λ[0,T]\lambda_{[0,T]} of claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval (its integral of ∣⋅∣|\cdot| is at most a constant times λ[0,T]([0,T])=T\lambda_{[0,T]}([0,T])=T, by claim 1 of Linearity and Monotonicity of the Lebesgue Integral and Simple Function and Its Integral). Put hr(s)=μ~stot(r)+μstot(r)−μs′tot(r)−μs′′tot(r)h_r(s)=\tilde\mu^{\mathrm{tot}}_s(r)+\mu^{\mathrm{tot}}_s(r)-\mu'^{\mathrm{tot}}_s(r)-\mu''^{\mathrm{tot}}_s(r); by linearity on ([0,T],B[0,T],λ[0,T])([0,T],\mathcal{B}_{[0,T]},\lambda_{[0,T]}), hrh_r is integrable with E(r)=∫[0,T]hr(s) dsE(r)=\int_{[0,T]}h_r(s)\,ds, and pointwise, since μ~υ+μυ−μ′υ−μ′′υ=(μ′υμ′′υ−μυμ′υ−μυμ′′υ+(μυ)2)/μυ\tilde\mu^\upsilon+\mu^\upsilon-\mu'^\upsilon-\mu''^\upsilon=(\mu'^\upsilon\mu''^\upsilon-\mu^\upsilon\mu'^\upsilon-\mu^\upsilon\mu''^\upsilon+(\mu^\upsilon)^{2})/\mu^\upsilon, hr(s)=∑υ∈V(μs′υ(r)−μsυ(r))(μs′′υ(r)−μsυ(r))μsυ(r).h_r(s)=\sum_{\upsilon\in V}\frac{(\mu'^\upsilon_s(r)-\mu^\upsilon_s(r))(\mu''^\upsilon_s(r)-\mu^\upsilon_s(r))}{\mu^\upsilon_s(r)} . Fix r∈Ncr\in\mathsf{N}^{c}. For all s∈[0,T]s\in[0,T] and υ∈V\upsilon\in V, the relative-perturbation bounds, absolute-value arithmetic and μsυ(r)>0\mu^\upsilon_s(r)>0 give ∣(μs′υ(r)−μsυ(r))(μs′′υ(r)−μsυ(r))μsυ(r)∣≤ϑμsυ(r)⋅ϑμsυ(r)μsυ(r)=ϑ2μsυ(r)≤ϑ2μˉ,\Bigl|\frac{(\mu'^\upsilon_s(r)-\mu^\upsilon_s(r))(\mu''^\upsilon_s(r)-\mu^\upsilon_s(r))}{\mu^\upsilon_s(r)}\Bigr|\le\frac{\vartheta\mu^\upsilon_s(r)\cdot\vartheta\mu^\upsilon_s(r)}{\mu^\upsilon_s(r)}=\vartheta^{2}\mu^\upsilon_s(r)\le\vartheta^{2}\bar\mu , so ∣hr(s)∣≤l~μˉϑ2|h_r(s)|\le\tilde{l}\bar\mu\vartheta^{2} for every s∈[0,T]s\in[0,T] by the triangle inequality. The constant function l~μˉϑ2\tilde{l}\bar\mu\vartheta^{2} on [0,T][0,T] is a simple function with integral l~μˉϑ2λ[0,T]([0,T])=l~Tμˉϑ2\tilde{l}\bar\mu\vartheta^{2}\lambda_{[0,T]}([0,T])=\tilde{l}T\bar\mu\vartheta^{2} (Simple Function and Its Integral and claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval), hence integrable, and ∣hr∣|h_r| is integrable and at most this constant, so by linearity ∣E(r)∣≤∫[0,T]∣hr(s)∣ ds≤l~Tμˉϑ2|E(r)|\le\int_{[0,T]}|h_r(s)|\,ds\le\tilde{l}T\bar\mu\vartheta^{2}. For ϑ=η\vartheta=\eta this is ∣E∣≤Eη|E|\le\mathsf{E}_\eta on Nc\mathsf{N}^{c}, and the remaining assertions of claim 1 (integrability of ℓμ~E\ell_{\tilde\mu}E and the two inequalities) are claim 3 of Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form, applied with n=2n=2, μ1=μ′\mu_1=\mu', μ2=μ′′\mu_2=\mu'', (q,q′)=(1,2)(q,q')=(1,2), Eˉ=Eη\bar{E}=\mathsf{E}_\eta and the null set N\mathsf{N}.

Step 2 (claim 2). Assume η≤1\eta\le1. By claim 1 of Integer Power Products of Causal-Intensity Likelihoods: Pathwise Identity, Integral Bounds, and the Pair Identity applied to (μ,μ′,μ′′)(\mu,\mu',\mu'') with exponents (−1,1,1)(-1,1,1) (as in claim 3 of that lemma, the lower bound μ‾\underline\mu serving for μ\mu), μ~\tilde\mu is a causal intensity on R\mathbf{R} with bound μˉ′μˉ′′/μ‾\bar\mu'\bar\mu''/\underline\mu. Fix r∈Ncr\in\mathsf{N}^{c}, s∈[0,T]s\in[0,T] and υ∈V\upsilon\in V, write m=μsυ(r)m=\mu^\upsilon_s(r), m′=μs′υ(r)m'=\mu'^\upsilon_s(r), m′′=μs′′υ(r)m''=\mu''^\upsilon_s(r) and m~=μ~sυ(r)=m′m′′/m\tilde m=\tilde\mu^\upsilon_s(r)=m'm''/m, and put a=(m′−m)/ma=(m'-m)/m and b=(m′′−m)/mb=(m''-m)/m (recall m≥μ‾>0m\ge\underline\mu>0), so that ∣a∣≤η|a|\le\eta, ∣b∣≤η|b|\le\eta, m′=m(1+a)m'=m(1+a) and m′′=m(1+b)m''=m(1+b). Then m~−m=m′m′′m−m=m((1+a)(1+b)−1)=m (a+b+ab),∣a+b+ab∣≤∣a∣+∣b∣+∣a∣∣b∣≤η+η+η2≤3η,\tilde m-m=\frac{m'm''}{m}-m=m\bigl((1+a)(1+b)-1\bigr)=m\,(a+b+ab),\qquad |a+b+ab|\le|a|+|b|+|a||b|\le\eta+\eta+\eta^{2}\le3\eta , using absolute-value arithmetic and η≤1\eta\le1; hence ∣μ~sυ(r)−μsυ(r)∣≤3η μsυ(r)|\tilde\mu^\upsilon_s(r)-\mu^\upsilon_s(r)|\le3\eta\,\mu^\upsilon_s(r), i.e. μ~\tilde\mu is a relative 3η3\eta-perturbation of μ\mu off N\mathsf{N}. Now apply Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form with base intensity μ\mu, n=1n=1 and the single perturbed intensity μ1=μ~\mu_1=\tilde\mu (bound μˉ′μˉ′′/μ‾\bar\mu'\bar\mu''/\underline\mu), writing L~=ℓμ~/ℓ\tilde{L}=\ell_{\tilde\mu}/\ell. Claim 1 there gives that ℓL~L~=ℓμ~2/ℓ\ell\tilde{L}\tilde{L}=\ell_{\tilde\mu}^{2}/\ell (pointwise, as ℓ>0\ell>0) is integrable with ∫Rℓμ~2/ℓ dρ=1+C11\int_{\mathbf{R}}\ell_{\tilde\mu}^{2}/\ell\,d\rho=1+C_{11}, where C11=Var(μ~)=∫Rℓ(L~−1)2 dρC_{11}=\mathrm{Var}(\tilde\mu)=\int_{\mathbf{R}}\ell(\tilde{L}-1)^{2}\,d\rho is finite and nonnegative; this is the integrability, the identity and the lower bound in claim 2. For the upper bound, the pair exponent E11E_{11} of that application is the pair exponent of the present lemma for the pair (μ′,μ′′)(\mu',\mu'') replaced by (μ~,μ~)(\tilde\mu,\tilde\mu) (both are defined by the same formula), and μ~\tilde\mu is a relative 3η3\eta-perturbation of μ\mu off N\mathsf{N} with bound μˉ′μˉ′′/μ‾\bar\mu'\bar\mu''/\underline\mu; so Step 1 with ϑ=3η\vartheta=3\eta and (μ~,μ~)(\tilde\mu,\tilde\mu) in place of (μ′,μ′′)(\mu',\mu'') gives ∣E11(r)∣≤l~Tμˉ(3η)2=9Eη|E_{11}(r)|\le\tilde{l}T\bar\mu(3\eta)^{2}=9\mathsf{E}_\eta for every r∈Ncr\in\mathsf{N}^{c}, and claim 3 of Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form (with Eˉ=9Eη\bar{E}=9\mathsf{E}_\eta and the null set N\mathsf{N}) gives C11≤∣C11∣≤exp⁡(9Eη)−1C_{11}\le|C_{11}|\le\exp(9\mathsf{E}_\eta)-1.

Step 3 (claim 3). Keep the hypotheses of claim 2. The likelihoods ℓ\ell and ℓμ~\ell_{\tilde\mu} are measurable (claim 2 of Survival Identity, Measurability, Event-Count Recursion, and Normalization of the Likelihood of a Causal Intensity), ℓ\ell is integrable with ∫Rℓ dρ=1\int_{\mathbf{R}}\ell\,d\rho=1 and ℓ>0\ell>0 (claim 1 of Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form), and α=∣ℓμ~−ℓ∣\alpha=|\ell_{\tilde\mu}-\ell| is measurable. Apply the weighted Cauchy-Schwarz inequality, claim 1 of Weighted Cauchy-Schwarz Inequality on a Measure Space and the Symmetrised Score Functional: Bounds and Averaging, on the measure space (R,R,ρ)(\mathbf{R},\mathcal{R},\rho) with β=ℓ\beta=\ell and this α\alpha (the requirement that α\alpha vanish where β\beta vanishes is vacuous, as ℓ>0\ell>0). The auxiliary function called qq in that claim, here written q\mathsf{q}, equals α2/ℓ=(ℓμ~−ℓ)2/ℓ=ℓ(L~−1)2\alpha^{2}/\ell=(\ell_{\tilde\mu}-\ell)^{2}/\ell=\ell(\tilde{L}-1)^{2} on all of R\mathbf{R}, whose integral is Var(μ~)<∞\mathrm{Var}(\tilde\mu)<\infty by Step 2. Hence α\alpha is integrable and (∫Rα dρ)2≤1⋅Var(μ~)≤exp⁡(9Eη)−1(\int_{\mathbf{R}}\alpha\,d\rho)^{2}\le1\cdot\mathrm{Var}(\tilde\mu)\le\exp(9\mathsf{E}_\eta)-1. Since ∫α dρ≥0\int\alpha\,d\rho\ge0 and (exp⁡(9Eη)−1)1/2≥0(\exp(9\mathsf{E}_\eta)-1)^{1/2}\ge0, claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field gives ∫R∣ℓμ~−ℓ∣ dρ≤(exp⁡(9Eη)−1)1/2\int_{\mathbf{R}}|\ell_{\tilde\mu}-\ell|\,d\rho\le(\exp(9\mathsf{E}_\eta)-1)^{1/2}.

Next, EE is measurable and bounded on R\mathbf{R} (claim 1 of Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form); let M≥0M\ge0 be a real number with ∣E∣≤M|E|\le M on R\mathbf{R}. Then ℓE\ell E is measurable with ∣ℓE∣≤Mℓ|\ell E|\le M\ell, hence integrable by domination, and ℓμ~E\ell_{\tilde\mu}E is integrable by claim 3 of Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form (applicable by Step 1). The measurable function f=(ℓμ~−ℓ)E=ℓμ~E−ℓEf=(\ell_{\tilde\mu}-\ell)E=\ell_{\tilde\mu}E-\ell E satisfies ∣f∣≤Eη α|f|\le\mathsf{E}_\eta\,\alpha on Nc\mathsf{N}^{c} (Step 1) and ∣f∣≤Mα|f|\le M\alpha on N\mathsf{N}, with α\alpha integrable, so by Step 0(b) and linearity ∣∫Rℓμ~E dρ−∫RℓE dρ∣=∣∫Rf dρ∣≤Eη∫Rα dρ≤Eη(exp⁡(9Eη)−1)1/2.\Bigl|\int_{\mathbf{R}}\ell_{\tilde\mu}E\,d\rho-\int_{\mathbf{R}}\ell E\,d\rho\Bigr|=\Bigl|\int_{\mathbf{R}}f\,d\rho\Bigr|\le\mathsf{E}_\eta\int_{\mathbf{R}}\alpha\,d\rho\le\mathsf{E}_\eta\bigl(\exp(9\mathsf{E}_\eta)-1\bigr)^{1/2}. Combining with the second inequality of claim 1 by the triangle inequality, ∣C−∫ℓE dρ∣≤∣C−∫ℓμ~E dρ∣+∣∫ℓμ~E dρ−∫ℓE dρ∣≤12Eη2exp⁡(Eη)+Eη(exp⁡(9Eη)−1)1/2=eη|C-\int\ell E\,d\rho|\le|C-\int\ell_{\tilde\mu}E\,d\rho|+|\int\ell_{\tilde\mu}E\,d\rho-\int\ell E\,d\rho|\le\tfrac12\mathsf{E}_\eta^{2}\exp(\mathsf{E}_\eta)+\mathsf{E}_\eta(\exp(9\mathsf{E}_\eta)-1)^{1/2}=\mathsf{e}_\eta.

Step 4 (claim 4). Assume η≤1\eta\le1 and let μ1,…,μn\mu_1,\dots,\mu_n, ww, LqL_q, Eqq′E_{qq'} and Cqq′C_{qq'} be as in claim 4. The pair exponent and the pair covariance of Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form at an index pair (q,q′)(q,q') depend only on μ\mu, μq\mu_q and μq′\mu_{q'}, and coincide with the pair exponent EE and the pair covariance CC of the present lemma for (μ′,μ′′)=(μq,μq′)(\mu',\mu'')=(\mu_q,\mu_{q'}), which are relative η\eta-perturbations of μ\mu off N\mathsf{N} with bounds μˉq,μˉq′\bar\mu_q,\bar\mu_{q'}. Hence, by Step 3, ℓEqq′\ell E_{qq'} is integrable and ∣Cqq′−∫RℓEqq′ dρ∣≤eη|C_{qq'}-\int_{\mathbf{R}}\ell E_{qq'}\,d\rho|\le\mathsf{e}_\eta for all q,q′q,q'. Each Eqq′E_{qq'} is measurable and bounded (claim 1 of Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form), so the finite linear combination Q=∑q,q′wqwq′Eqq′\mathcal{Q}=\sum_{q,q'}w_qw_{q'}E_{qq'} is measurable and bounded, and ℓQ=∑q,q′wqwq′ ℓEqq′\ell\mathcal{Q}=\sum_{q,q'}w_qw_{q'}\,\ell E_{qq'} is integrable by linearity with ∫RℓQ dρ=∑q,q′wqwq′∫RℓEqq′ dρ\int_{\mathbf{R}}\ell\mathcal{Q}\,d\rho=\sum_{q,q'}w_qw_{q'}\int_{\mathbf{R}}\ell E_{qq'}\,d\rho. Therefore, by the triangle inequality for finite sums and ∑q,q′∣wq∣∣wq′∣=∥w∥12\sum_{q,q'}|w_q||w_{q'}|=\lVert w\rVert_1^{2}, ∣∑q,q′wqwq′Cqq′−∫RℓQ dρ∣=∣∑q,q′wqwq′(Cqq′−∫RℓEqq′ dρ)∣≤∑q,q′∣wq∣∣wq′∣ eη=∥w∥12 eη,\Bigl|\sum_{q,q'}w_qw_{q'}C_{qq'}-\int_{\mathbf{R}}\ell\mathcal{Q}\,d\rho\Bigr|=\Bigl|\sum_{q,q'}w_qw_{q'}\Bigl(C_{qq'}-\int_{\mathbf{R}}\ell E_{qq'}\,d\rho\Bigr)\Bigr|\le\sum_{q,q'}|w_q||w_{q'}|\,\mathsf{e}_\eta=\lVert w\rVert_1^{2}\,\mathsf{e}_\eta , which gives the right-hand inequality of claim 4. For the identity, claim 2 of Pair Expansion of the Weighted Likelihood-Ratio Square: Pair Covariances of Causal-Intensity Likelihoods, the Exact Expansion, and Its First-Order Form with the ratio factors r1=⋯=rn=1\mathsf{r}_1=\dots=\mathsf{r}_n=1 states that ℓ(∑qwq(1−Lq))2\ell(\sum_qw_q(1-L_q))^{2} is integrable with integral (∑qwq(1−1))2+∑q,q′wqwq′Cqq′=∑q,q′wqwq′Cqq′(\sum_qw_q(1-1))^{2}+\sum_{q,q'}w_qw_{q'}C_{qq'}=\sum_{q,q'}w_qw_{q'}C_{qq'}. Finally this integrand is nonnegative pointwise, and the zero function is integrable with integral 00 (linearity with both coefficients 00), so monotonicity gives ∑q,q′wqwq′Cqq′≥0\sum_{q,q'}w_qw_{q'}C_{qq'}\ge0. ■\blacksquare

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