Reason: Proof of the observation-drift regularity lemma: product-rule computation of both derivative formulas via the slice-interval argument, restriction to the simplex, and the simplex bounds with the exact collected constant C* = 2 sqrt(l) K-tilde + l K-tilde in the uniform-continuity step; the same argument as, but logically independent of, the published proof of lem:extended-drift-regularity-2026a. Internally reviewed.
Proof
Throughout fix υ∈{1,…,l~} and recall from the extension definition its clauses 1-4. On Δl we use, from the probability simplex: Σσ≥0 for all σ and ∑σ=1lΣσ=1; and from clause 1 together with the observation-rate family bounds: 0≤β~ˉ(σ,υ,Σ)≤B~ for Σ∈Δl and all admissible pairs. We write 1{⋅} for the indicator equal to 1 when the subscripted condition holds and 0 otherwise. The argument is the same as, but logically independent of, the published proof of the regularity and derivative bounds of the extended aggregate state drift, with the control coordinates absent.
(i). For σ∈{1,…,l} let πσ:U~→R be the coordinate function πσ(Σ)=Σσ. Directly from the definition of the partial derivative (the difference quotients being constant), ∂γπσ exists and equals the constant 1{γ=σ}, so πσ is a C1 map, and each constant function is again C1 with vanishing partial derivatives. By the definition of the extended aggregate observation drift,
b~ˉυ=σ=1∑lπσ⋅β~ˉ(σ,υ,⋅).
Fix γ and a point of U~. The set of slice parameters s for which the point shifted by s along the γ-th coordinate remains in the open set U~ is an open subset of R containing the given parameter value; choose an open interval I0 around that value contained in it. On I0, every factor above restricts to a one-variable function whose derivative exists and is given by the corresponding partial derivative (this is the definition of the partial derivative), so the one-dimensional sum and product rules give that ∂γb~ˉυ exists at the given point and equals
the first displayed formula of the statement. Each term of that formula is continuous: β~ˉ(σ,υ,⋅) is continuous because it is differentiable at every point (clause 2 with C1 implies differentiable, and the inequality in the definition of differentiability at a point forces f(a+h)→f(a) as h→0); its partial derivatives are continuous by clause 2 and the definition of a C1 map; the coordinate functions are continuous; and finite sums and products of continuous real functions are continuous (immediate from the sequential formulation of continuity at a point). Hence ∂γb~ˉυ is continuous for every γ, so b~ˉυ is a C1 map. Applying the same slice-interval argument to the first displayed formula --- a finite sum of products of coordinate functions, the functions β~ˉ(σ,υ,⋅), and their first partials, all of which are C1 by clause 2 --- gives that ∂δ∂γb~ˉυ exists and equals
which is the second displayed formula after evaluating the indicator sum, and this expression is continuous by the same reasoning; hence each ∂γb~ˉυ is a C1 map. Finally, for Σ∈Δl, clause 1 allows replacing every β~ˉ by β~ in the defining formula of b~ˉυ(Σ), which then coincides with the defining formula of the aggregate observation drift of β~ at Σ; hence b~ˉ agrees with it on Δl.
(ii). Let Σ∈Δl and γ∈{1,…,l}. In the first displayed formula, ∣β~ˉ(γ,υ,Σ)∣≤B~ as recorded above, and ∑σΣσ∣∂γβ~ˉ(σ,υ,Σ)∣≤K~∑σΣσ=K~ by clause 3; hence ∣∂γb~ˉυ(Σ)∣≤B~+K~. For the Lipschitz estimate let Σ,Σ′∈Δl. The segment from Σ to Σ′ stays in Δl: a convex combination of two points of the simplex has nonnegative entries summing to 1, hence lies in the simplex. The segment therefore lies in the open set U~, and part (i) of the Taylor expansion lemma, applied to the C1 map b~ˉυ with n=l and M1=B~+K~, gives ∣b~ˉυ(Σ)−b~ˉυ(Σ′)∣≤l(B~+K~)d(Σ,Σ′).
(iii). For Σ∈Δl, estimating the three groups of the second displayed formula with clause 3 and ∑σΣσ=1: the two first-derivative terms contribute at most K~ each, and the sum ∑σΣσ∂δ∂γβ~ˉ(σ,υ,Σ) contributes at most K~ in total; hence ∣∂δ∂γb~ˉυ(Σ)∣≤3K~.
For the uniform continuity claim, let ε>0 and set C∗=2lK~+lK~. By clause 4 there is δ1>0 such that ∣∂δ∂γβ~ˉ(σ,υ,Σ)−∂δ∂γβ~ˉ(σ,υ,Σ′)∣≤ε/2 for all admissible indices whenever d(Σ,Σ′)≤δ1. Set δ∘=δ1 if C∗=0 and δ∘=min(δ1,ε/(2C∗)) otherwise. Let Σ,Σ′∈Δl with d(Σ,Σ′)≤δ∘, and take the difference of the second displayed formula at Σ and at Σ′ term by term. For the two first-derivative terms: each of the two functions ∂δβ~ˉ(γ,υ,⋅) and ∂γβ~ˉ(δ,υ,⋅) is a C1 map (clause 2) whose partial derivatives are bounded by K~ on U~ (clause 3), so part (i) of the Taylor expansion lemma along the segment from Σ to Σ′ (which lies in the simplex, as above) bounds each difference by lK~d(Σ,Σ′). For the product terms,
and summing over σ, using ∣Σσ−Σ′σ∣≤d(Σ,Σ′) for every σ and ∑σΣ′σ=1, the product group contributes at most lK~d(Σ,Σ′)+ε/2. Altogether the difference is at most C∗d(Σ,Σ′)+ε/2≤ε/2+ε/2=ε, uniformly over γ,δ,υ, as claimed. ■