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Proof of Regularity and Derivative Bounds of the Extended Aggregate State Drift

lemmalem:extended-drift-regularity-2026a
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· 7,976 chars · 12 deps · depth 10 Reason: Initial published proof: slice-interval product-rule derivation of the derivative formulas, explicit simplex bounds, restriction identity, and the quantitative uniform-continuity estimate.

Proof

Throughout fix γ∈{1,…,l}\gamma\in\{1,\dots,l\}, write x=(Σ,α)x=(\Sigma,\alpha) for points of U×RmU\times\mathbb{R}^m, and recall from the extension definition its clauses 1-4. On Δl×Rm\Delta^l\times\mathbb{R}^m we use, from the probability simplex: Σσ≥0\Sigma^\sigma\ge0 for all σ\sigma and ∑σ=1lΣσ=1\sum_{\sigma=1}^{l}\Sigma^\sigma=1; and from clause 1 together with the transition-rate family bounds: 0≤βˉ(σ,γ′,x)≤B0\le\bar{\beta}(\sigma,\gamma',x)\le B for x∈Δl×Rmx\in\Delta^l\times\mathbb{R}^m and all admissible index pairs.

(i). For σ∈{1,…,l}\sigma\in\{1,\dots,l\} let πσ:U×Rm→R\pi_\sigma:U\times\mathbb{R}^m\to\mathbb{R} be the coordinate function πσ(x)=Σσ\pi_\sigma(x)=\Sigma^\sigma. Directly from the definition of the partial derivative (the difference quotients being constant), ∂iπσ\partial_i\pi_\sigma exists and equals the constant δiσ\delta_{i\sigma}, so πσ\pi_\sigma is a C1C^1 map, and each constant function is again C1C^1 with vanishing partial derivatives. By the definition of the extended aggregate state drift,

bˉγ=∑σ:σ≠γ(πσ⋅βˉ(σ,γ,⋅,⋅)−πγ⋅βˉ(γ,σ,⋅,⋅)).\bar{b}^\gamma=\sum_{\sigma:\sigma\neq\gamma}\big(\pi_\sigma\cdot\bar{\beta}(\sigma,\gamma,\cdot,\cdot)-\pi_\gamma\cdot\bar{\beta}(\gamma,\sigma,\cdot,\cdot)\big).

Fix ii and a point of U×RmU\times\mathbb{R}^m. The set of slice parameters ss for which the point shifted by ss along the ii-th coordinate remains in the open set U×RmU\times\mathbb{R}^m is an open subset of R\mathbb{R} containing the given parameter value; choose an open interval I0I_0 around that value contained in it. On I0I_0, 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, stated for functions on an interval, give that ∂ibˉγ\partial_i\bar{b}^\gamma exists at the given point and equals the first displayed formula of the statement. Each term of that formula is continuous: βˉ(σ,γ,⋅,⋅)\bar{\beta}(\sigma,\gamma,\cdot,\cdot) is continuous because it is differentiable at every point (clause 2 with C1C^1 implies differentiable, and the inequality in the definition of differentiability at a point forces f(a+h)→f(a)f(a+h)\to f(a) as h→0h\to0); its partial derivatives are continuous by clause 2 and the definition of a C1C^1 map; the coordinate functions and constants are continuous; and finite sums and products of continuous real functions are continuous (immediate from the sequential formulation of continuity at a point). Hence ∂ibˉγ\partial_i\bar{b}^\gamma is continuous for every ii, so bˉγ\bar{b}^\gamma is a C1C^1 map. Applying the same slice-interval argument to the first displayed formula - a finite sum of products of coordinate functions, constants, the functions βˉ(⋅)\bar{\beta}(\cdot), and their first partials, all of which are C1C^1 by clause 2 - gives that ∂j∂ibˉγ\partial_j\partial_i\bar{b}^\gamma exists and equals the second displayed formula (using ∂jπσ=δjσ\partial_j\pi_\sigma=\delta_{j\sigma} and ∂jδiσ=0\partial_j\delta_{i\sigma}=0), and this expression is continuous by the same reasoning; hence each ∂ibˉγ\partial_i\bar{b}^\gamma is a C1C^1 map. Finally, for x∈Δl×Rmx\in\Delta^l\times\mathbb{R}^m, clause 1 allows replacing every βˉ\bar{\beta} by β\beta in the defining formula of bˉγ(x)\bar{b}^\gamma(x), which then coincides with the defining formula of the aggregate state drift of β\beta at xx; hence bˉ\bar{b} agrees with it on Δl×Rm\Delta^l\times\mathbb{R}^m.

(ii). Let x∈Δl×Rmx\in\Delta^l\times\mathbb{R}^m and i∈{1,…,l+m}i\in\{1,\dots,l+m\}. Estimating the four groups of terms of the first displayed formula separately: ∑σ≠γδiσ∣βˉ(σ,γ,x)∣≤B\sum_{\sigma\neq\gamma}\delta_{i\sigma}|\bar{\beta}(\sigma,\gamma,x)|\le B (at most one σ\sigma equals ii); ∑σ≠γΣσ∣∂iβˉ(σ,γ,x)∣≤K∑σ≠γΣσ≤K\sum_{\sigma\neq\gamma}\Sigma^\sigma|\partial_i\bar{\beta}(\sigma,\gamma,x)|\le K\sum_{\sigma\neq\gamma}\Sigma^\sigma\le K by clause 3; δiγ∑σ≠γ∣βˉ(γ,σ,x)∣≤(l−1)B\delta_{i\gamma}\sum_{\sigma\neq\gamma}|\bar{\beta}(\gamma,\sigma,x)|\le(l-1)B; and Σγ∑σ≠γ∣∂iβˉ(γ,σ,x)∣≤(l−1)K\Sigma^\gamma\sum_{\sigma\neq\gamma}|\partial_i\bar{\beta}(\gamma,\sigma,x)|\le(l-1)K. Altogether ∣∂ibˉγ(x)∣≤lB+lK=l(B+K)|\partial_i\bar{b}^\gamma(x)|\le lB+lK=l(B+K).

For the Lipschitz estimate let x,y∈Δl×Rmx,y\in\Delta^l\times\mathbb{R}^m. The segment from xx to yy stays in Δl×Rm\Delta^l\times\mathbb{R}^m: a convex combination of two points of the simplex has nonnegative entries summing to 11, hence lies in the simplex. The segment therefore lies in the open set U×RmU\times\mathbb{R}^m, and the Taylor expansion lemma, part (i), applied to the C1C^1 map bˉγ\bar{b}^\gamma with n=l+mn=l+m and M1=l(B+K)M_1=l(B+K) gives ∣bˉγ(x)−bˉγ(y)∣≤l+m l(B+K) d(x,y)|\bar{b}^\gamma(x)-\bar{b}^\gamma(y)|\le\sqrt{l+m}\,l(B+K)\,d(x,y).

(iii). For x∈Δl×Rmx\in\Delta^l\times\mathbb{R}^m, estimating the six groups of the second displayed formula with clause 3 and ∑σ≠γΣσ≤1\sum_{\sigma\neq\gamma}\Sigma^\sigma\le1, Σγ≤1\Sigma^\gamma\le1: the terms with δiσ\delta_{i\sigma} and δjσ\delta_{j\sigma} contribute at most KK each; the terms Σσ∂j∂iβˉ(σ,γ,x)\Sigma^\sigma\partial_j\partial_i\bar{\beta}(\sigma,\gamma,x) contribute at most KK in total; the terms with δiγ\delta_{i\gamma} and δjγ\delta_{j\gamma} contribute at most (l−1)K(l-1)K each; and the terms Σγ∂j∂iβˉ(γ,σ,x)\Sigma^\gamma\partial_j\partial_i\bar{\beta}(\gamma,\sigma,x) contribute at most (l−1)K(l-1)K in total. Hence ∣∂j∂ibˉγ(x)∣≤3K+3(l−1)K=3lK|\partial_j\partial_i\bar{b}^\gamma(x)|\le3K+3(l-1)K=3lK.

For the uniform continuity claim, let ε>0\varepsilon>0 and set C∗=2 l l+m K+2 l KC^*=2\,l\,\sqrt{l+m}\,K+2\,l\,K (a convenient over-bound: the exact coefficient collected below is 2ll+m K+2(l−1)K2l\sqrt{l+m}\,K+2(l-1)K, and we over-estimate l−1l-1 by ll). By clause 4 there is δ1>0\delta_1>0 such that ∣∂j∂iβˉ(σ,γ′,x)−∂j∂iβˉ(σ,γ′,y)∣≤ε/(2l)|\partial_j\partial_i\bar{\beta}(\sigma,\gamma',x)-\partial_j\partial_i\bar{\beta}(\sigma,\gamma',y)|\le\varepsilon/(2l) for all admissible indices whenever d(x,y)≤δ1d(x,y)\le\delta_1. Set δ=δ1\delta=\delta_1 if C∗=0C^*=0 and δ=min⁡(δ1,ε/(2C∗))\delta=\min(\delta_1,\varepsilon/(2C^*)) otherwise. Let x,y∈Δl×Rmx,y\in\Delta^l\times\mathbb{R}^m with d(x,y)≤δd(x,y)\le\delta, and take the difference of the second displayed formula at xx and at yy term by term. For the first-derivative factors: each ∂jβˉ(σ,γ′,⋅,⋅)\partial_j\bar{\beta}(\sigma,\gamma',\cdot,\cdot) is a C1C^1 map (clause 2) whose partial derivatives are bounded by KK on U×RmU\times\mathbb{R}^m (clause 3), so part (i) of the Taylor expansion lemma along the segment from xx to yy (which lies in the simplex product, as above) gives ∣∂jβˉ(σ,γ′,x)−∂jβˉ(σ,γ′,y)∣≤l+m K d(x,y)|\partial_j\bar{\beta}(\sigma,\gamma',x)-\partial_j\bar{\beta}(\sigma,\gamma',y)|\le\sqrt{l+m}\,K\,d(x,y). For the product terms, writing y=(Σ′,α′)y=(\Sigma',\alpha'):

∣Σσ∂j∂iβˉ(σ,γ,x)−Σ′σ∂j∂iβˉ(σ,γ,y)∣≤∣Σσ−Σ′σ∣ K+Σ′σ ε2l,|\Sigma^\sigma\partial_j\partial_i\bar{\beta}(\sigma,\gamma,x)-\Sigma'^\sigma\partial_j\partial_i\bar{\beta}(\sigma,\gamma,y)|\le|\Sigma^\sigma-\Sigma'^\sigma|\,K+\Sigma'^\sigma\,\tfrac{\varepsilon}{2l},

and similarly with γ\gamma in place of σ\sigma. Summing all contributions: the δiσ\delta_{i\sigma} and δjσ\delta_{j\sigma} groups give at most 2l+m K d(x,y)2\sqrt{l+m}\,K\,d(x,y); the δiγ\delta_{i\gamma} and δjγ\delta_{j\gamma} groups give at most 2(l−1)l+m K d(x,y)2(l-1)\sqrt{l+m}\,K\,d(x,y); the two product groups give at most 2(l−1)K d(x,y)2(l-1)K\,d(x,y) from the first summands (using ∣Σσ−Σ′σ∣≤d(x,y)|\Sigma^\sigma-\Sigma'^\sigma|\le d(x,y) for every σ\sigma) plus ε2l(∑σ≠γΣ′σ+(l−1)Σ′γ)≤ε2l⋅l=ε2\tfrac{\varepsilon}{2l}\big(\sum_{\sigma\neq\gamma}\Sigma'^\sigma+(l-1)\Sigma'^\gamma\big)\le\tfrac{\varepsilon}{2l}\cdot l=\tfrac{\varepsilon}{2} from the second summands. Altogether the difference is at most C∗d(x,y)+ε/2≤ε/2+ε/2=εC^*d(x,y)+\varepsilon/2\le\varepsilon/2+\varepsilon/2=\varepsilon, uniformly over i,j,γi,j,\gamma, as claimed.

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