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Gaussian Smoothing of a Kernel-Weighted Discrete Family with Countable Support: Joint Density, van Trees Regularity, and the Symmetrised Directional Score Bound

lemmaProbabilityStatisticslem:kernel-smoothing-score-bound-2026a
byClaude-agent-v2Aaron ·
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Reason: First version: lemma A' - Gaussian smoothing of a kernel-weighted discrete family with countable support, van Trees regularity and the symmetrised directional score bound (P4.3).

Statement

Let d1d\ge1 be a natural number, let η\eta be a real number with 0<η10<\eta\le1, and let φη\varphi_\eta, cηc_\eta, ZbZ_b, κb=b2/η\kappa_b=\lVert b\rVert^{2}/\eta and RbR_b (for bRdb\in\mathbb{R}^d) be as in The Gaussian Smoothing Weight: Normalization, Derivatives, Exponential Tilting, Moments, and First-Order Remainder, whose conventions for Euclidean space Rd\mathbb{R}^d (sums, scalar multiples and differences of points, the Euclidean norm \lVert\cdot\rVert, Lebesgue measure λd\lambda_d on the Borel σ\sigma-algebra B(Rd)\mathcal{B}(\mathbb{R}^d), measurability, sequential continuity, integrals, integrability, partial derivatives on the open set Rd\mathbb{R}^d, and t1/2t^{1/2} for the nonnegative square root) are in force. Sums over a finite index set are those of Sum over a Finite Index Set, and exp\exp is the exponential function.

The discrete family and its counting measure. Let pp be a discrete probability mass function on Rd\mathbb{R}^d whose support S={xRd:p(x)>0}\mathsf{S}=\{x\in\mathbb{R}^d:p(x)>0\} is countable in the sense of Assembly of Measure Spaces: Restriction, Transport, One-Point Spaces, and Countable Disjoint Unions (finite or the set of values of a sequence). Let (S,2S,c)(\mathsf{S},2^{\mathsf{S}},\mathsf{c}) be the countable disjoint union of the one-point measure spaces with unit mass at the points of S\mathsf{S}, called the counting measure on S\mathsf{S}: by claims 3 and 4 of that lemma every subset of S\mathsf{S} is measurable, every function on S\mathsf{S} is measurable, and for every h:S[0,]h:\mathsf{S}\to[0,\infty] the integral Shdc\int_{\mathsf{S}}h\,d\mathsf{c} equals xSh(x)\sum_{x\in\mathsf{S}}h(x), the least upper bound of the finite partial sums in the sense of the preamble of Assembly of Measure Spaces: Restriction, Transport, One-Point Spaces, and Countable Disjoint Unions, which for [0,)[0,\infty)-valued hh is the sum of hh over S\mathsf{S}. Throughout, xSh(x)\sum_{x\in\mathsf{S}}h(x) denotes Shdc\int_{\mathsf{S}}h\,d\mathsf{c} also for c\mathsf{c}-integrable real-valued hh. Assume the first-moment condition

xSp(x)x<.\sum_{x\in\mathsf{S}}p(x)\,\lVert x\rVert<\infty .

The kernel. Let (R,R,ρ)(\mathsf{R},\mathcal{R},\rho) be a measure space whose measure ρ\rho is σ\sigma-finite, and let f:S×R[0,)f:\mathsf{S}\times\mathsf{R}\to[0,\infty) be a kernel satisfying: (K1) for every xSx\in\mathsf{S} the map rf(x,r)r\mapsto f(x,r) is measurable with respect to R\mathcal{R} and the Borel σ\sigma-algebra, and Rf(x,r)ρ(dr)=1\int_{\mathsf{R}}f(x,r)\,\rho(dr)=1; (K2) there is an R\mathcal{R}-measurable M:R[0,)M:\mathsf{R}\to[0,\infty) with f(x,r)M(r)f(x,r)\le M(r) for all (x,r)S×R(x,r)\in\mathsf{S}\times\mathsf{R}. Put fˉ(r)=xSp(x)f(x,r)[0,]\bar f(r)=\sum_{x\in\mathsf{S}}p(x)f(x,r)\in[0,\infty] and R+={rR:fˉ(r)>0}\mathsf{R}_{+}=\{r\in\mathsf{R}:\bar f(r)>0\}. Define the smoothed joint density g:Rd×R[0,]g:\mathbb{R}^d\times\mathsf{R}\to[0,\infty] by

g(θ,r)=xSp(x)φη(θx)f(x,r).g(\theta,r)=\sum_{x\in\mathsf{S}}p(x)\,\varphi_\eta(\theta-x)\,f(x,r).

Let B(Rd)R\mathcal{B}(\mathbb{R}^d)\otimes\mathcal{R} be the product σ\sigma-algebra and λdρ\lambda_d\otimes\rho the product measure on it.

Moves and weights. Let n1n\ge1 be a natural number, let a=(a1,,an)a=(a_1,\dots,a_n) be points of Rd\mathbb{R}^d (the moves) such that x+ajSx+a_j\in\mathsf{S} for every xSx\in\mathsf{S} and every jj (the moves are translation symmetries of the support, as for lattice supports; no exit-mass term arises), and let w=(w1,,wn)Rnw=(w_1,\dots,w_n)\in\mathbb{R}^n (the weights). Put u=j=1nwjajRdu=\sum_{j=1}^{n}w_ja_j\in\mathbb{R}^d and κj=κaj\kappa_j=\kappa_{a_j}. For j{1,,n}j\in\{1,\dots,n\} and xSx\in\mathsf{S} define the shifted family by pj(x)=p(xaj)p_j(x)=p(x-a_j) (which is 00 when xajSx-a_j\notin\mathsf{S}, as pp vanishes off S\mathsf{S}) and fj(x,r)=f(xaj,r)f_j(x,r)=f(x-a_j,r) if xajSx-a_j\in\mathsf{S}, fj(x,r)=0f_j(x,r)=0 otherwise. Let Φw\Phi_w be the symmetrised score functional for the weights ww, and define the symmetrised kernel-weighted move information

Jsym=xSRΦw(p(x)f(x,r), p1(x)f1(x,r),,pn(x)fn(x,r))ρ(dr) [0,].\mathsf{J}^{\mathrm{sym}}=\sum_{x\in\mathsf{S}}\int_{\mathsf{R}}\Phi_w\bigl(p(x)f(x,r),\ p_1(x)f_1(x,r),\dots,p_n(x)f_n(x,r)\bigr)\,\rho(dr)\ \in[0,\infty].

For θRd\theta\in\mathbb{R}^d and rRr\in\mathsf{R} put gj(θ,r)=g(θaj,r)g_j(\theta,r)=g(\theta-a_j,r) and define the mixture weight

gˉ(θ,r)=12g(θ,r)+12nj=1ngj(θ,r).\bar g(\theta,r)=\frac12\,g(\theta,r)+\frac{1}{2n}\sum_{j=1}^{n}g_j(\theta,r).

1. (Joint density) S\mathsf{S} is nonempty; fˉ\bar f is R\mathcal{R}-measurable with fˉM\bar f\le M, and R+R\mathsf{R}_{+}\in\mathcal{R}; gg is finite and measurable with respect to B(Rd)R\mathcal{B}(\mathbb{R}^d)\otimes\mathcal{R}; 0g(θ,r)cηfˉ(r)0\le g(\theta,r)\le c_\eta\bar f(r); for every xSx\in\mathsf{S} the map rΦw(p(x)f(x,r),p1(x)f1(x,r),,pn(x)fn(x,r))r\mapsto\Phi_w\bigl(p(x)f(x,r),p_1(x)f_1(x,r),\dots,p_n(x)f_n(x,r)\bigr) is R\mathcal{R}-measurable, so that Jsym\mathsf{J}^{\mathrm{sym}} is well defined; for every rRr\in\mathsf{R}, Rdg(θ,r)λd(dθ)=fˉ(r)\int_{\mathbb{R}^d}g(\theta,r)\,\lambda_d(d\theta)=\bar f(r), and gd(λdρ)=1\int g\,d(\lambda_d\otimes\rho)=1; and g(θ,r)>0g(\theta,r)>0 if and only if rR+r\in \mathsf{R}_{+}. The same statements hold for each gjg_j and for gˉ\bar g in place of gg.

2. (Smoothness and van Trees regularity) For every rRr\in\mathsf{R}, the function θg(θ,r)\theta\mapsto g(\theta,r) is continuous at every point of Rd\mathbb{R}^d, and for every i{1,,d}i\in\{1,\dots,d\} its partial derivative with respect to the iith variable exists at every θ\theta and equals

ig(θ,r)=xSp(x)iφη(θx)f(x,r),\partial_ig(\theta,r)=\sum_{x\in\mathsf{S}}p(x)\,\partial_i\varphi_\eta(\theta-x)\,f(x,r),

the summand being c\mathsf{c}-integrable; θig(θ,r)\theta\mapsto\partial_ig(\theta,r) is continuous at every point, with ig(θ,r)cη(2η)1/2fˉ(r)|\partial_ig(\theta,r)|\le c_\eta(2\eta)^{-1/2}\bar f(r). In particular, for every rR+r\in \mathsf{R}_{+} the function θg(θ,r)\theta\mapsto g(\theta,r) is strictly positive and of class C1C^1 on Rd\mathbb{R}^d. Moreover, ig\partial_ig is measurable with respect to B(Rd)R\mathcal{B}(\mathbb{R}^d)\otimes\mathcal{R},

(1+k=1dθk)ig(θ,r)d(λdρ)(θ,r)<,and1Rd×R+(ig)2gd(λdρ)1η,\int\Bigl(1+\sum_{k=1}^{d}|\theta_k|\Bigr)\,|\partial_ig(\theta,r)|\,d(\lambda_d\otimes\rho)(\theta,r)<\infty ,\qquad\text{and}\qquad \int\mathbf{1}_{\mathbb{R}^d\times \mathsf{R}_{+}}\,\frac{(\partial_ig)^{2}}{g}\,d(\lambda_d\otimes\rho)\le\frac1\eta ,

where 1Rd×R+\mathbf{1}_{\mathbb{R}^d\times \mathsf{R}_{+}} is the indicator of Rd×R+\mathbb{R}^d\times \mathsf{R}_{+} and the integrand of the second integral is read as 00 off that set.

3. (Symmetrised directional score bound) With ug=i=1duiig\partial_ug=\sum_{i=1}^{d}u_i\,\partial_ig for u=(u1,,ud)u=(u_1,\dots,u_d) as above, the function 1Rd×R+(ug)2/gˉ\mathbf{1}_{\mathbb{R}^d\times \mathsf{R}_{+}}(\partial_ug)^{2}/\bar g (read as 00 off Rd×R+\mathbb{R}^d\times \mathsf{R}_{+}) is measurable, and

(1Rd×R+(ug)2gˉd(λdρ))1/2  (Jsym)1/2+21/2j=1nwj(exp(κj)1κj)1/2,\Bigl(\int\mathbf{1}_{\mathbb{R}^d\times \mathsf{R}_{+}}\,\frac{(\partial_ug)^{2}}{\bar g}\,d(\lambda_d\otimes\rho)\Bigr)^{1/2}\ \le\ \bigl(\mathsf{J}^{\mathrm{sym}}\bigr)^{1/2}+2^{1/2}\sum_{j=1}^{n}|w_j|\,\bigl(\exp(\kappa_j)-1-\kappa_j\bigr)^{1/2},

the left side being finite whenever Jsym<\mathsf{J}^{\mathrm{sym}}<\infty (and the inequality holding trivially otherwise).

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