Adopt the setting of the fluctuation processes of the controlled N N N -agent dynamics : a transition-rate family β \beta β on l l l states with control set A \mathcal{A} A , a nonempty subset of Euclidean space R m \mathbb{R}^m R m , and rate bound B B B , an observation-rate family β ~ \tilde{\beta} β ~ , a horizon T > 0 T>0 T > 0 , an N N N -agent driving system , an observation-driven control policy h h h which is A \mathcal{A} A -valued , a solution on [ 0 , T ] [0,T] [ 0 , T ] with regular event Ω 0 \Omega_0 Ω 0 , empirical state measure Σ t \Sigma_t Σ t , and control α t \alpha_t α t , a mean-field trajectory pair ( S , A ) (S,A) ( S , A ) for β \beta β with horizon T T T , and the fluctuation processes s t = N ( Σ t − S t ) \mathfrak{s}_t=\sqrt{N}(\Sigma_t-S_t) s t = N ( Σ t − S t ) and a t = N ( α t − A t ) \mathfrak{a}_t=\sqrt{N}(\alpha_t-A_t) a t = N ( α t − A t ) . Let ( L , G ) (L,G) ( L , G ) be population cost data on l l l states with control dimension m m m , with N N N -agent cost J N [ h ] J^N[h] J N [ h ] and mean-field cost J M F [ ( S ) , ( A ) ] J^{MF}[(S),(A)] J MF [( S ) , ( A )] . Let ( U , V , β ˉ ) (U,V,\bar{\beta}) ( U , V , β ˉ ) be a twice continuously differentiable extension of β \beta β with derivative bound K K K , let b ˉ \bar{b} b ˉ be the extended aggregate state drift of ( U , V , β ˉ ) (U,V,\bar{\beta}) ( U , V , β ˉ ) , let ( W , L ˉ , G ˉ ) (W,\bar{L},\bar{G}) ( W , L ˉ , G ˉ ) be a twice continuously differentiable extension of ( L , G ) (L,G) ( L , G ) with second-derivative bound K c K_c K c , and let P P P be a stationary co-state for these data, so that ( S , A , P ) (S,A,P) ( S , A , P ) is a stationary mean-field triple. Adopt the partial-derivative notation ∂ j ∂ i \partial_j\partial_i ∂ j ∂ i of the extension definitions, write d d d for the Euclidean distance , ∣ ⋅ ∣ |\cdot| ∣ ⋅ ∣ for the Euclidean norm, E \mathbb{E} E for the expectation , and Δ l \Delta^l Δ l for the probability simplex , and let C P C_P C P be a real number with ∑ δ = 1 l ∣ P t δ ∣ ≤ C P \sum_{\delta=1}^{l}|P^\delta_t|\le C_P ∑ δ = 1 l ∣ P t δ ∣ ≤ C P for all t ∈ [ 0 , T ] t\in[0,T] t ∈ [ 0 , T ] , which exists because each component of P P P is continuous on [ 0 , T ] [0,T] [ 0 , T ] by clause 1 of the co-state definition - relative to [ 0 , T ] [0,T] [ 0 , T ] , with the metric of the real line - and therefore attains a maximum and a minimum on [ 0 , T ] [0,T] [ 0 , T ] by the extreme value theorem , hence is bounded.
Hypotheses. Assume that the control set A \mathcal{A} A is convex and that A 2 = ∫ [ 0 , T ] E [ ∣ a t ∣ 2 ] d t < ∞ \mathcal{A}_2=\int_{[0,T]}\mathbb{E}[|\mathfrak{a}_t|^2]\,dt<\infty A 2 = ∫ [ 0 , T ] E [ ∣ a t ∣ 2 ] d t < ∞ , this integral being well defined by part (a) of the a priori second-moment bound ; as in that lemma, the subscripted symbol A 2 \mathcal{A}_2 A 2 is distinct from the control set A \mathcal{A} A .
For u ≥ 0 u\ge0 u ≥ 0 define
ω L ( u ) = sup { ∣ ∂ j ∂ i L ˉ ( x ) − ∂ j ∂ i L ˉ ( y ) ∣ : i , j ∈ { 1 , … , l + m } , x , y ∈ Δ l × R m , d ( x , y ) ≤ u } , \omega_L(u)=\sup\big\{|\partial_j\partial_i\bar{L}(x)-\partial_j\partial_i\bar{L}(y)|:\ i,j\in\{1,\dots,l+m\},\ x,y\in\Delta^l\times\mathbb{R}^m,\ d(x,y)\le u\big\}, ω L ( u ) = sup { ∣ ∂ j ∂ i L ˉ ( x ) − ∂ j ∂ i L ˉ ( y ) ∣ : i , j ∈ { 1 , … , l + m } , x , y ∈ Δ l × R m , d ( x , y ) ≤ u } ,
ω b ( u ) = sup { ∣ ∂ j ∂ i b ˉ γ ( x ) − ∂ j ∂ i b ˉ γ ( y ) ∣ : γ ∈ { 1 , … , l } , i , j ∈ { 1 , … , l + m } , x , y ∈ Δ l × V , d ( x , y ) ≤ u } , \omega_b(u)=\sup\big\{|\partial_j\partial_i\bar{b}^\gamma(x)-\partial_j\partial_i\bar{b}^\gamma(y)|:\ \gamma\in\{1,\dots,l\},\ i,j\in\{1,\dots,l+m\},\ x,y\in\Delta^l\times V,\ d(x,y)\le u\big\}, ω b ( u ) = sup { ∣ ∂ j ∂ i b ˉ γ ( x ) − ∂ j ∂ i b ˉ γ ( y ) ∣ : γ ∈ { 1 , … , l } , i , j ∈ { 1 , … , l + m } , x , y ∈ Δ l × V , d ( x , y ) ≤ u } ,
ω G ( u ) = sup { ∣ ∂ δ ∂ γ G ˉ ( Σ ) − ∂ δ ∂ γ G ˉ ( Σ ′ ) ∣ : γ , δ ∈ { 1 , … , l } , Σ , Σ ′ ∈ Δ l , d ( Σ , Σ ′ ) ≤ u } . \omega_G(u)=\sup\big\{|\partial_\delta\partial_\gamma\bar{G}(\Sigma)-\partial_\delta\partial_\gamma\bar{G}(\Sigma')|:\ \gamma,\delta\in\{1,\dots,l\},\ \Sigma,\Sigma'\in\Delta^l,\ d(\Sigma,\Sigma')\le u\big\}. ω G ( u ) = sup { ∣ ∂ δ ∂ γ G ˉ ( Σ ) − ∂ δ ∂ γ G ˉ ( Σ ′ ) ∣ : γ , δ ∈ { 1 , … , l } , Σ , Σ ′ ∈ Δ l , d ( Σ , Σ ′ ) ≤ u } .
(a) (Moduli.) ω L \omega_L ω L , ω b \omega_b ω b , and ω G \omega_G ω G are nondecreasing functions from [ 0 , ∞ ) [0,\infty) [ 0 , ∞ ) to [ 0 , ∞ ) [0,\infty) [ 0 , ∞ ) with ω L ≤ 2 K c \omega_L\le2K_c ω L ≤ 2 K c , ω b ≤ 6 l K \omega_b\le6\,l\,K ω b ≤ 6 l K , and ω G ≤ 2 K c \omega_G\le2K_c ω G ≤ 2 K c everywhere, and for every ε > 0 \varepsilon>0 ε > 0 there is δ > 0 \delta>0 δ > 0 such that ω L ( u ) ≤ ε \omega_L(u)\le\varepsilon ω L ( u ) ≤ ε , ω b ( u ) ≤ ε \omega_b(u)\le\varepsilon ω b ( u ) ≤ ε , and ω G ( u ) ≤ ε \omega_G(u)\le\varepsilon ω G ( u ) ≤ ε for all u ∈ [ 0 , δ ] u\in[0,\delta] u ∈ [ 0 , δ ] .
(b) (Finiteness and eligibility.) J N [ h ] J^N[h] J N [ h ] is finite; the pair ( ( s ) , ( a ) ) ((\mathfrak{s}),(\mathfrak{a})) (( s ) , ( a )) satisfies requirements (i)-(iii) of the fluctuation linear-quadratic cost (requirement (i) holding with Ω 1 = Ω 0 \Omega_1=\Omega_0 Ω 1 = Ω 0 by the joint measurability of the state and control ), so that L Q G [ ( s ) , ( a ) ] LQG[(\mathfrak{s}),(\mathfrak{a})] L QG [( s ) , ( a )] is a well-defined real number; and all expectations and integrals appearing in (c) are well defined and finite.
(c) (Expansion with quantitative remainder.) Set ζ N = N ( E [ Σ 0 ] − S 0 ) ∈ R l \zeta_N=N\,(\mathbb{E}[\Sigma_0]-S_0)\in\mathbb{R}^l ζ N = N ( E [ Σ 0 ] − S 0 ) ∈ R l , with the componentwise expectation, and set ρ t = d ( ( Σ t , α t ) , ( S t , A t ) ) \rho_t=d\big((\Sigma_t,\alpha_t),(S_t,A_t)\big) ρ t = d ( ( Σ t , α t ) , ( S t , A t ) ) for t ∈ [ 0 , T ] t\in[0,T] t ∈ [ 0 , T ] , so that ρ t = N − 1 / 2 ( ∣ s t ∣ 2 + ∣ a t ∣ 2 ) 1 / 2 \rho_t=N^{-1/2}\big(|\mathfrak{s}_t|^2+|\mathfrak{a}_t|^2\big)^{1/2} ρ t = N − 1/2 ( ∣ s t ∣ 2 + ∣ a t ∣ 2 ) 1/2 and d ( Σ T , S T ) = N − 1 / 2 ∣ s T ∣ d(\Sigma_T,S_T)=N^{-1/2}|\mathfrak{s}_T| d ( Σ T , S T ) = N − 1/2 ∣ s T ∣ . Then the real number R N R_N R N defined by the identity
N ( J N [ h ] − J M F [ ( S ) , ( A ) ] ) = L Q G [ ( s ) , ( a ) ] − ∑ γ = 1 l P 0 γ ζ N γ + R N N\Big(J^N[h]-J^{MF}[(S),(A)]\Big)=LQG\big[(\mathfrak{s}),(\mathfrak{a})\big]-\sum_{\gamma=1}^{l}P^\gamma_0\,\zeta^\gamma_N+R_N N ( J N [ h ] − J MF [( S ) , ( A )] ) = L QG [ ( s ) , ( a ) ] − γ = 1 ∑ l P 0 γ ζ N γ + R N
satisfies
∣ R N ∣ ≤ l + m 2 ∫ [ 0 , T ] E [ ( ω L ( ρ t ) + C P ω b ( ρ t ) ) ( ∣ s t ∣ 2 + ∣ a t ∣ 2 ) ] d t + l 2 E [ ω G ( d ( Σ T , S T ) ) ∣ s T ∣ 2 ] . |R_N|\ \le\ \frac{l+m}{2}\int_{[0,T]}\mathbb{E}\Big[\big(\omega_L(\rho_t)+C_P\,\omega_b(\rho_t)\big)\big(|\mathfrak{s}_t|^2+|\mathfrak{a}_t|^2\big)\Big]\,dt\ +\ \frac{l}{2}\,\mathbb{E}\Big[\omega_G\big(d(\Sigma_T,S_T)\big)\,|\mathfrak{s}_T|^2\Big]. ∣ R N ∣ ≤ 2 l + m ∫ [ 0 , T ] E [ ( ω L ( ρ t ) + C P ω b ( ρ t ) ) ( ∣ s t ∣ 2 + ∣ a t ∣ 2 ) ] d t + 2 l E [ ω G ( d ( Σ T , S T ) ) ∣ s T ∣ 2 ] .