Let d≥1 be a natural number, let η be a real number with 0<η≤1, and let φη, cη, Zb, κb=∥b∥2/η and Rb (for b∈Rd) be as in The Gaussian Smoothing Weight: Normalization, Derivatives, Exponential Tilting, Moments, and First-Order Remainder, whose conventions for Euclidean space Rd (sums, scalar multiples and differences of points, the Euclidean norm ∥⋅∥, Lebesgue measure λd on the Borel σ-algebra B(Rd), measurability, sequential continuity, integrals, integrability, partial derivatives on the open set Rd, and t1/2 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 is the exponential function.
The discrete family and its counting measure. Let p be a discrete probability mass function on Rd whose support S={x∈Rd: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) be the countable disjoint union of the one-point measure spaces with unit mass at the points of S, called the counting measure on S: by claims 3 and 4 of that lemma every subset of S is measurable, every function on S is measurable, and for every h:S→[0,∞] the integral ∫Shdc equals ∑x∈Sh(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,∞)-valued h is the sum of h over S. Throughout, ∑x∈Sh(x) denotes ∫Shdc also for c-integrable real-valued h. Assume the first-moment condition
x∈S∑p(x)∥x∥<∞.
The kernel. Let (R,R,ρ) be a measure space whose measure ρ is σ-finite, and let f:S×R→[0,∞) be a kernel satisfying: (K1) for every x∈S the map r↦f(x,r) is measurable with respect to R and the Borel σ-algebra, and ∫Rf(x,r)ρ(dr)=1; (K2) there is an R-measurable M:R→[0,∞) with f(x,r)≤M(r) for all (x,r)∈S×R. Put fˉ(r)=∑x∈Sp(x)f(x,r)∈[0,∞] and R+={r∈R:fˉ(r)>0}. Define the smoothed joint density g:Rd×R→[0,∞] by
g(θ,r)=x∈S∑p(x)φη(θ−x)f(x,r).
Let B(Rd)⊗R be the product σ-algebra and λd⊗ρ the product measure on it.
Moves and weights. Let n≥1 be a natural number, let a=(a1,…,an) be points of Rd (the moves) such that x+aj∈S for every x∈S and every j (the moves are translation symmetries of the support, as for lattice supports; no exit-mass term arises), and let w=(w1,…,wn)∈Rn (the weights). Put u=∑j=1nwjaj∈Rd and κj=κaj. For j∈{1,…,n} and x∈S define the shifted family by pj(x)=p(x−aj) (which is 0 when x−aj∈/S, as p vanishes off S) and fj(x,r)=f(x−aj,r) if x−aj∈S, fj(x,r)=0 otherwise. Let Φw be the symmetrised score functional for the weights w, and define the symmetrised kernel-weighted move information
Jsym=x∈S∑∫RΦw(p(x)f(x,r), p1(x)f1(x,r),…,pn(x)fn(x,r))ρ(dr) ∈[0,∞].
For θ∈Rd and r∈R put gj(θ,r)=g(θ−aj,r) and define the mixture weight
gˉ(θ,r)=21g(θ,r)+2n1j=1∑ngj(θ,r).
1. (Joint density) S is nonempty; fˉ is R-measurable with fˉ≤M, and R+∈R; g is finite and measurable with respect to B(Rd)⊗R; 0≤g(θ,r)≤cηfˉ(r); for every x∈S the map r↦Φw(p(x)f(x,r),p1(x)f1(x,r),…,pn(x)fn(x,r)) is R-measurable, so that Jsym is well defined; for every r∈R, ∫Rdg(θ,r)λd(dθ)=fˉ(r), and ∫gd(λd⊗ρ)=1; and g(θ,r)>0 if and only if r∈R+. The same statements hold for each gj and for gˉ in place of g.
2. (Smoothness and van Trees regularity) For every r∈R, the function θ↦g(θ,r) is continuous at every point of Rd, and for every i∈{1,…,d} its partial derivative with respect to the ith variable exists at every θ and equals
∂ig(θ,r)=x∈S∑p(x)∂iφη(θ−x)f(x,r),
the summand being c-integrable; θ↦∂ig(θ,r) is continuous at every point, with ∣∂ig(θ,r)∣≤cη(2η)−1/2fˉ(r). In particular, for every r∈R+ the function θ↦g(θ,r) is strictly positive and of class C1 on Rd. Moreover, ∂ig is measurable with respect to B(Rd)⊗R,
∫(1+k=1∑d∣θk∣)∣∂ig(θ,r)∣d(λd⊗ρ)(θ,r)<∞,and∫1Rd×R+g(∂ig)2d(λd⊗ρ)≤η1,
where 1Rd×R+ is the indicator of Rd×R+ and the integrand of the second integral is read as 0 off that set.
3. (Symmetrised directional score bound) With ∂ug=∑i=1dui∂ig for u=(u1,…,ud) as above, the function 1Rd×R+(∂ug)2/gˉ (read as 0 off Rd×R+) is measurable, and
(∫1Rd×R+gˉ(∂ug)2d(λd⊗ρ))1/2 ≤ (Jsym)1/2+21/2j=1∑n∣wj∣(exp(κj)−1−κj)1/2,
the left side being finite whenever Jsym<∞ (and the inequality holding trivially otherwise).