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Proof of Stability of the Mean-Field Flow under Perturbation of the Initial State and Weak Convergence of Controls

lemmalem:mean-field-flow-stability-2026a
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Reason: Proof of the six claims. The affine coefficient is bounded from its explicit formula and the coordinate bound for the Euclidean norm; admissible representatives are built by redefining on a null set, and the flow is independent of the choice by the null-set integral lemma together with the uniqueness in the existence theorem; the perturbation functionals are well defined because the coefficient is bounded and sequentially continuous along the flow; the quantitative estimate splits the drift difference into a state part, handled by Gronwall, and a control part, which is exactly the weak pairing; the equi-Lipschitz bound follows from the pointwise bound on the integrand; and uniform convergence follows by combining that bound with a finite net of the horizon obtained from total boundedness.

Proof

Throughout, \sqrt{\cdot} is the nonnegative square root, and for a subset EE of [0,T][0,T] we write 1E\mathbf{1}_E for the function on [0,T][0,T] equal to 11 on EE and to 00 elsewhere. Integrals over a compact subinterval are those of the restricted Lebesgue measure space, an integral over [0,0][0,0] being 00 as in Existence and Uniqueness of the Generalized Mean-Field Trajectory for a Measurable Control. We use without further comment three facts about nonstrict inequalities between real numbers, each obtained from the corresponding strict statement in Elementary Order Arithmetic in an Ordered Field together with the case in which the inequality in question is an equality: that multiplying both sides by a nonnegative number preserves the inequality (claim 10 there, together with the further trivial case in which the multiplier is 00, when the two products are both 00), that adding a fixed number to both sides preserves it (claim 1 there), and that \le is transitive (claim 2 there, in the form combining a nonstrict with a strict inequality). We also use that for xΔlx\in\Delta^l and each σ\sigma one has 0xσ10\le x^\sigma\le1, the lower bound by the definition of the simplex and the upper bound by claim 6 of Properties of Finite Sums applied to the sum σxσ=1\sum_\sigma x^\sigma=1 of nonnegative terms.

Claim 1. Fix γ\gamma and ΣΔl\Sigma\in\Delta^l. By claim 1 of The Projected Extension of an Affine-Controlled Transition-Rate Family the number K1K_1 is a finite nonnegative real, and by its definition there as a supremum, β1(σ,γ,Σ)K1|\beta_1(\sigma,\gamma,\Sigma)|\le K_1 for every ordered pair of distinct states and every ΣΔl\Sigma\in\Delta^l. By claim 3 of that lemma,

b1γ(Σ)=σγ(Σσβ1(σ,γ,Σ)Σγβ1(γ,σ,Σ)),b^\gamma_1(\Sigma)=\sum_{\sigma\neq\gamma}\bigl(\Sigma^\sigma\beta_1(\sigma,\gamma,\Sigma)-\Sigma^\gamma\beta_1(\gamma,\sigma,\Sigma)\bigr),

a sum of l1l-1 terms. As noted above 0Σσ10\le\Sigma^\sigma\le1 for every σ\sigma, so by claim 5 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, together with the fact that the absolute value of a nonnegative real number is that number itself,

Σσβ1(σ,γ,Σ)=Σσβ1(σ,γ,Σ)K1,\bigl|\Sigma^\sigma\beta_1(\sigma,\gamma,\Sigma)\bigr|=\Sigma^\sigma\bigl|\beta_1(\sigma,\gamma,\Sigma)\bigr|\le K_1 ,

the final inequality by multiplying β1(σ,γ,Σ)K1|\beta_1(\sigma,\gamma,\Sigma)|\le K_1 by the nonnegative number Σσ\Sigma^\sigma, multiplying Σσ1\Sigma^\sigma\le1 by the nonnegative number K1K_1, and using transitivity of \le, and likewise for the second term of each summand. By claim 6 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, applied by induction on the number of summands, the norm of the displayed sum is at most the sum of the norms of the summands, and the norm of each summand is at most K1+K1K_1+K_1 by the same claim. Hence b1γ(Σ)(l1)(K1+K1)=C1|b^\gamma_1(\Sigma)|\le(l-1)(K_1+K_1)=C_1.

For the second assertion let α,αA\alpha,\alpha'\in\mathcal{A}. By claim 3 of The Projected Extension of an Affine-Controlled Transition-Rate Family, bγ(Σ,α)=b0γ(Σ)+b1γ(Σ)αb^\gamma(\Sigma,\alpha)=b^\gamma_0(\Sigma)+b^\gamma_1(\Sigma)\cdot\alpha and similarly for α\alpha', so by the distributivity of the dot product,

bγ(Σ,α)bγ(Σ,α)=b1γ(Σ)(αα).b^\gamma(\Sigma,\alpha')-b^\gamma(\Sigma,\alpha)=b^\gamma_1(\Sigma)\cdot(\alpha'-\alpha).

Thus b1γ(Σ)(αα)b^\gamma_1(\Sigma)\cdot(\alpha'-\alpha) is the γ\gamma-th coordinate of the vector b(Σ,α)b(Σ,α)b(\Sigma,\alpha')-b(\Sigma,\alpha) of Rl\mathbb{R}^l, so by claim 4 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n and then claim 4 of The Projected Extension of an Affine-Controlled Transition-Rate Family,

b1γ(Σ)(αα)b(Σ,α)b(Σ,α)K2αα.\bigl|b^\gamma_1(\Sigma)\cdot(\alpha'-\alpha)\bigr|\le\bigl|b(\Sigma,\alpha')-b(\Sigma,\alpha)\bigr|\le K_2|\alpha'-\alpha| .

Finally, by claims 5 and 6 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, ααα+αR+R|\alpha'-\alpha|\le|\alpha'|+|\alpha|\le R+R, using that RR is by claim 1 of The Projected Extension of an Affine-Controlled Transition-Rate Family a finite real number bounding α|\alpha| on A\mathcal{A}. Multiplying by the nonnegative number K2K_2 gives K2αα2RK2=L1K_2|\alpha'-\alpha|\le 2RK_2=L_1.

Claim 2. Existence of an admissible representative. Let ξUA\xi\in\mathcal{U}_{\mathcal{A}}. By the definition of the control set there are vL2([0,T];Rm)v\in\mathcal{L}^{2}([0,T];\mathbb{R}^{m}) with [v]=ξ[v]=\xi and NBN\in\mathcal{B} with λ(N)=0\lambda(N)=0 such that v(s)Av(s)\in\mathcal{A} for every sD:=[0,T]Ns\in D:=[0,T]\setminus N. The set A\mathcal{A} is nonempty by the definition of an affine-controlled transition-rate family; fix a0Aa_0\in\mathcal{A} and define u(s)=v(s)u(s)=v(s) for sDs\in D and u(s)=a0u(s)=a_0 for sNs\in N. Then u(s)Au(s)\in\mathcal{A} for every s[0,T]s\in[0,T]. Each component of uu equals vi1D+a0i1Nv^{i}\mathbf{1}_{D}+a_0^{i}\mathbf{1}_{N} and so is measurable, 1D\mathbf{1}_D and 1N\mathbf{1}_N being measurable because D,NBD,N\in\mathcal{B}. Moreover u21D=v21D|u|^{2}\mathbf{1}_{D}=|v|^{2}\mathbf{1}_{D}, so two applications of claim 6 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval to the nonnegative measurable functions u2|u|^{2} and v2|v|^{2} and the co-null set DD give

[0,T]u2dλ=[0,T]u21Ddλ=[0,T]v21Ddλ=[0,T]v2dλ<,\int_{[0,T]}|u|^{2}\,d\lambda=\int_{[0,T]}|u|^{2}\mathbf{1}_{D}\,d\lambda=\int_{[0,T]}|v|^{2}\mathbf{1}_{D}\,d\lambda=\int_{[0,T]}|v|^{2}\,d\lambda<\infty ,

so uL2([0,T];Rm)u\in\mathcal{L}^{2}([0,T];\mathbb{R}^{m}). Since uu and vv agree on DD and λ(N)=0\lambda(N)=0, claim 2 of the definition of L2L^{2} gives [u]=[v]=ξ[u]=[v]=\xi. So uu is an admissible representative of ξ\xi.

Independence of the representative. Let uu and u~\tilde{u} be admissible representatives of ξ\xi. Since [u]=[u~][u]=[\tilde{u}], claim 2 of The Lebesgue Space of Square-Integrable Vector-Valued Functions on a Compact Interval provides NBN\in\mathcal{B} with λ(N)=0\lambda(N)=0 and u(s)=u~(s)u(s)=\tilde{u}(s) for every s[0,T]Ns\in[0,T]\setminus N. Write S=SuS=S^{u} and fix γ\gamma and t[0,T]t\in[0,T]. If t=0t=0 the two integrals below are both 00. Suppose t>0t>0. As recorded in the definition of a generalized mean-field trajectory pair, the maps sb^γ(Ss,u(s))s\mapsto\hat{b}^\gamma(S_s,u(s)) and sb^γ(Ss,u~(s))s\mapsto\hat{b}^\gamma(S_s,\tilde{u}(s)) are measurable on [0,t][0,t] and bounded there, hence integrable. They agree at every s[0,t]s\in[0,t] outside N[0,t]N\cap[0,t]. Now N=P[0,T]N=P\cap[0,T] for some Borel subset PP of the real line by claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval, so N[0,t]=P[0,t]N\cap[0,t]=P\cap[0,t] lies in B[0,t]\mathcal{B}_{[0,t]}; and its restricted Lebesgue measure equals its Lebesgue measure, which is at most λ(N)=0\lambda(N)=0 by the monotonicity in claim 2 of Basic Properties of a Measure. So N[0,t]N\cap[0,t] is null in [0,t][0,t], and claim 2 of Integrals of Functions Vanishing or Agreeing off a Null Set on a Compact Interval gives

[0,t]b^γ(Ss,u(s))ds=[0,t]b^γ(Ss,u~(s))ds.\int_{[0,t]}\hat{b}^\gamma(S_s,u(s))\,ds=\int_{[0,t]}\hat{b}^\gamma(S_s,\tilde{u}(s))\,ds .

Hence SS is a continuous map [0,T]Rl[0,T]\to\mathbb{R}^l with Stγ=x0γ+[0,t]b^γ(Ss,u~(s))dsS^\gamma_t=x_0^\gamma+\int_{[0,t]}\hat{b}^\gamma(S_s,\tilde{u}(s))\,ds for every γ\gamma and every tt. Claim 1 of Existence and Uniqueness of the Generalized Mean-Field Trajectory for a Measurable Control, applied to the initial value x0x_0 and the control u~\tilde{u}, asserts that there is exactly one such map, and that map is Su~S^{\tilde{u}}; therefore Su~=SS^{\tilde{u}}=S.

The remaining assertions of claim 2 are contained in claims 1 and 3 of Existence and Uniqueness of the Generalized Mean-Field Trajectory for a Measurable Control.

Claim 3. Fix γ\gamma and write ψi(s)=b1γ,i(Ss)\psi^{i}(s)=b^{\gamma,i}_1(S_s) for the ii-th component. Each component of SS is continuous on [0,T][0,T] by claim 2, hence measurable by claim 4 of Measurability of Countable Suprema, Bounded Pointwise Limits, Monotone Functions, and Continuous Functions. The map Σb1γ,i(Σ)\Sigma\mapsto b^{\gamma,i}_1(\Sigma) is sequentially continuous on Δl\Delta^l, in the sense that (b1γ,i(Σk))kN\bigl(b^{\gamma,i}_1(\Sigma_k)\bigr)_{k\in\mathbb{N}} has limit b1γ,i(Σ)b^{\gamma,i}_1(\Sigma) whenever Σk,ΣΔl\Sigma_k,\Sigma\in\Delta^l and the real sequence (ΣkΣ)kN(|\Sigma_k-\Sigma|)_{k\in\mathbb{N}} has limit 00. Indeed, write ϵk=ΣkΣ\epsilon_k=|\Sigma_k-\Sigma|, so that the real sequence (ϵk)k(\epsilon_k)_k has limit 00. A constant real sequence has its value as limit, directly from the definition of a limit; we use this together with claim 1 of Arithmetic of Limits of Real Sequences in the form: if (yky)k(y_k-y)_k has limit 00 then (yk)k(y_k)_k has limit yy, since yk=(yky)+yy_k=(y_k-y)+y.

For each σ\sigma we have ΣkσΣσϵk|\Sigma^\sigma_k-\Sigma^\sigma|\le\epsilon_k by claim 4 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, so (ΣkσΣσ)k(\Sigma^\sigma_k-\Sigma^\sigma)_k has limit 00 by claim 3 of Order Properties of Limits of Real Sequences, and hence (Σkσ)k(\Sigma^\sigma_k)_k has limit Σσ\Sigma^\sigma. Likewise, claim 2 of Affine-Controlled Transition-Rate Family makes β1(σ,γ,)\beta_1(\sigma,\gamma,\cdot) Lipschitz with constant Λ\Lambda, so claim 4 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n gives

β1i(σ,γ,Σk)β1i(σ,γ,Σ)β1(σ,γ,Σk)β1(σ,γ,Σ)Λϵk.\bigl|\beta^{i}_1(\sigma,\gamma,\Sigma_k)-\beta^{i}_1(\sigma,\gamma,\Sigma)\bigr|\le\bigl|\beta_1(\sigma,\gamma,\Sigma_k)-\beta_1(\sigma,\gamma,\Sigma)\bigr|\le\Lambda\epsilon_k .

The sequence (Λϵk)k(\Lambda\epsilon_k)_k has limit Λ0=0\Lambda\cdot0=0 by claim 3 of Arithmetic of Limits of Real Sequences, so (β1i(σ,γ,Σk)β1i(σ,γ,Σ))k\bigl(\beta^{i}_1(\sigma,\gamma,\Sigma_k)-\beta^{i}_1(\sigma,\gamma,\Sigma)\bigr)_k has limit 00 by claim 3 of Order Properties of Limits of Real Sequences, and therefore (β1i(σ,γ,Σk))k\bigl(\beta^{i}_1(\sigma,\gamma,\Sigma_k)\bigr)_k has limit β1i(σ,γ,Σ)\beta^{i}_1(\sigma,\gamma,\Sigma). The displayed formula for b1γb^\gamma_1 expresses b1γ,ib^{\gamma,i}_1 as a finite sum of products and differences of these quantities, so claims 1, 2 and 3 of Arithmetic of Limits of Real Sequences, applied finitely many times, give the assertion. Therefore ψi\psi^{i} is measurable by Sequentially Continuous Functions of Measurable Euclidean Maps are Measurable.

By claim 1 above together with claim 4 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n we have ψi(s)b1γ(Ss)C1|\psi^{i}(s)|\le|b^\gamma_1(S_s)|\le C_1 for every s[0,T]s\in[0,T], whence (ψi)2C12(\psi^{i})^{2}\le C_1^{2} pointwise. The constant function with value C12C_1^{2} is a simple function whose standard representation takes the single value C12C_1^{2} on [0,T][0,T], so its integral is C12λ([0,T])=C12TC_1^{2}\lambda([0,T])=C_1^{2}T by claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval. The monotonicity in claim 1 of Linearity and Monotonicity of the Lebesgue Integral therefore gives [0,T](ψi)2dλC12T<\int_{[0,T]}(\psi^{i})^{2}\,d\lambda\le C_1^{2}T<\infty. The ii-th component of the map s1[0,t](s)b1γ(Ss)s\mapsto\mathbf{1}_{[0,t]}(s)b^\gamma_1(S_s) is 1[0,t]ψi\mathbf{1}_{[0,t]}\psi^{i}, which is measurable and satisfies (1[0,t]ψi)2(ψi)2(\mathbf{1}_{[0,t]}\psi^{i})^{2}\le(\psi^{i})^{2} pointwise; so its square has finite integral by the monotonicity in claim 1 of Linearity and Monotonicity of the Lebesgue Integral. Summing over ii and using claim 1 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n together with the linearity in claim 1 of Linearity and Monotonicity of the Lebesgue Integral gives [0,T]1[0,t]b1γ(S)2dλ<\int_{[0,T]}|\mathbf{1}_{[0,t]}b^\gamma_1(S_\cdot)|^{2}\,d\lambda<\infty. Hence that map is square-integrable and wγ,tw^{\gamma,t} is a well-defined element of HH.

Claim 4. Let uu and uu' be admissible representatives of ξ\xi and ξ\xi'. Fix t[0,T]t\in[0,T] and γ\gamma. Since SsS_s and SsS'_s lie in Δl\Delta^l, claim 6 of The Projected Extension of an Affine-Controlled Transition-Rate Family gives b^=b\hat{b}=b at these arguments, so by claim 2 and claim 1 of Existence and Uniqueness of the Generalized Mean-Field Trajectory for a Measurable Control,

StγStγ=(x0γx0γ)+[0,t](bγ(Ss,u(s))bγ(Ss,u(s)))ds+[0,t](bγ(Ss,u(s))bγ(Ss,u(s)))ds,S'^\gamma_t-S^\gamma_t=(x_0'^\gamma-x_0^\gamma)+\int_{[0,t]}\bigl(b^\gamma(S'_s,u'(s))-b^\gamma(S_s,u'(s))\bigr)ds+\int_{[0,t]}\bigl(b^\gamma(S_s,u'(s))-b^\gamma(S_s,u(s))\bigr)ds ,

the splitting being the linearity in claim 2 of Linearity and Monotonicity of the Lebesgue Integral. By claim 1 the last integrand equals b1γ(Ss)(u(s)u(s))b^\gamma_1(S_s)\cdot(u'(s)-u(s)). Applying claim 2 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval to [0,t][0,t] and to [0,T][0,T], whose zero extensions to the real line coincide, that last integral equals

[0,T]1[0,t](s)b1γ(Ss)(u(s)u(s))ds=ξξ, wγ,tL2=gtγ(ξ),\int_{[0,T]}\mathbf{1}_{[0,t]}(s)\,b^\gamma_1(S_s)\cdot(u'(s)-u(s))\,ds=\bigl\langle\xi'-\xi,\ w^{\gamma,t}\bigr\rangle_{L^{2}}=g^\gamma_t(\xi') ,

by claim 4 of the definition of the pairing and the bilinearity recorded in claim 4 of The Lebesgue Space of Square-Integrable Vector-Valued Functions is a Real Inner Product Space.

Let GtRlG_t\in\mathbb{R}^l be the vector with components gtγ(ξ)g^\gamma_t(\xi'). Collecting the components of the display and using claim 6 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n twice, then Norm Bound for a Vector-Valued Lebesgue Integral over a Compact Interval and claim 4 of The Projected Extension of an Affine-Controlled Transition-Rate Family,

StStx0x0+Λb[0,t]SsSsds+Gt.|S'_t-S_t|\le|x_0'-x_0|+\Lambda_b\int_{[0,t]}|S'_s-S_s|\,ds+|G_t| .

Fix γ\gamma and put c=gtγ(ξ)c=g^\gamma_t(\xi'), so that cG|c|\le G and hence 0G0\le G by claim 1 of Properties of the Absolute Value in an Ordered Field. By claim 3 of that lemma, ccc-|c|\le c\le|c|, so cGc\le G by transitivity, and adding Gc-G-|c| to both sides of cG|c|\le G gives Gc-G\le-|c| and hence Gc-G\le c, again by transitivity. Therefore GcG-c and G+cG+c are both nonnegative, so their product G2c2G^{2}-c^{2} is nonnegative, by claim 5 of Elementary Order Arithmetic in an Ordered Field when both factors are positive and trivially when one of them is 00. Adding c2c^{2} to both sides gives c2G2c^{2}\le G^{2}.

Summing these ll termwise bounds, claim 1 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n together with claims 2 and 5 of Properties of Finite Sums gives Gt2=γ(gtγ(ξ))2lG2=(lG)2|G_t|^{2}=\sum_\gamma\bigl(g^\gamma_t(\xi')\bigr)^{2}\le l\,G^{2}=(\sqrt{l}\,G)^{2}.

We record an elementary fact used here and below: if p,qp,q are real numbers with 0p0\le p, 0q0\le q and p2q2p^{2}\le q^{2}, then pqp\le q. Suppose not, so that q<pq<p; then 0q<p0\le q<p gives 0<p0<p. Claim 10 of Elementary Order Arithmetic in an Ordered Field, applied to q<pq<p with the positive multiplier pp, gives qp<p2qp<p^{2}. Multiplying q<pq<p by qq gives q2qpq^{2}\le qp: this is an equality if q=0q=0, and a strict inequality by claim 10 of the same lemma if 0<q0<q. Claim 2 of Elementary Order Arithmetic in an Ordered Field then yields q2<p2q^{2}<p^{2}, contradicting p2q2p^{2}\le q^{2}. Applying this fact with p=Gtp=|G_t| and q=lGq=\sqrt{l}\,G, both nonnegative, gives GtlG|G_t|\le\sqrt{l}\,G.

Put ϕ(t)=StSt\phi(t)=|S'_t-S_t| and a=x0x0+lGa=|x_0'-x_0|+\sqrt{l}\,G, so that ϕ(t)a+Λb[0,t]ϕ(s)ds\phi(t)\le a+\Lambda_b\int_{[0,t]}\phi(s)\,ds for every t[0,T]t\in[0,T]. For r,t[0,T]r,t\in[0,T], claim 6 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n and claim 2 give

ϕ(t)StSr+SrSr+SrStϕ(r)+2Kbtr,\phi(t)\le|S'_t-S'_r|+|S'_r-S_r|+|S_r-S_t|\le\phi(r)+2K_b|t-r| ,

and symmetrically with rr and tt interchanged, so ϕ\phi is Lipschitz with constant 2Kb2K_b, hence continuous by A Lipschitz Map is Uniformly Continuous and measurable by claim 4 of Measurability of Countable Suprema, Bounded Pointwise Limits, Monotone Functions, and Continuous Functions. Taking r=0r=0 in the displayed inequality and using ϕ(0)=x0x0\phi(0)=|x_0'-x_0|, which holds because S0=x0S_0=x_0 and S0=x0S'_0=x_0' by claim 2, gives ϕ(t)x0x0+2KbT\phi(t)\le|x_0'-x_0|+2K_bT for every t[0,T]t\in[0,T]; thus ϕ\phi is bounded. Since Λb0\Lambda_b\ge0, Gronwall's Lemma for Bounded Measurable Functions applies and yields ϕ(t)aeΛbt\phi(t)\le a\,e^{\Lambda_bt} for every t[0,T]t\in[0,T]. Finally 0a0\le a and ΛbtΛbT\Lambda_bt\le\Lambda_bT, and by claims 2 and 4 of Basic Properties of the Exponential Function the exponential function is positive and strictly increasing, so eΛbteΛbTe^{\Lambda_bt}\le e^{\Lambda_bT}, with strict inequality when Λbt<ΛbT\Lambda_bt<\Lambda_bT and equality when Λbt=ΛbT\Lambda_bt=\Lambda_bT; multiplying by the nonnegative number aa gives ϕ(t)aeΛbT\phi(t)\le a\,e^{\Lambda_bT}.

Claim 5. Let vv be an admissible representative of ζ\zeta and uu one of ξ\xi, and let r,t[0,T]r,t\in[0,T]; by symmetry we may assume rtr\le t. By the bilinearity in claim 4 of The Lebesgue Space of Square-Integrable Vector-Valued Functions is a Real Inner Product Space,

gtγ(ζ)grγ(ζ)=ζξ, wγ,twγ,rL2=[0,T](1[0,t](s)1[0,r](s))b1γ(Ss)(v(s)u(s))ds.g^\gamma_t(\zeta)-g^\gamma_r(\zeta)=\bigl\langle\zeta-\xi,\ w^{\gamma,t}-w^{\gamma,r}\bigr\rangle_{L^{2}}=\int_{[0,T]}\bigl(\mathbf{1}_{[0,t]}(s)-\mathbf{1}_{[0,r]}(s)\bigr)\,b^\gamma_1(S_s)\cdot(v(s)-u(s))\,ds .

Write hh for the integrand. The factor 1[0,t]1[0,r]\mathbf{1}_{[0,t]}-\mathbf{1}_{[0,r]} takes values in {0,1}\{0,1\} and vanishes outside [r,t][r,t], so by claim 1 the integrand satisfies h(s)L11[r,t](s)|h(s)|\le L_1\mathbf{1}_{[r,t]}(s) for every ss. By claim 3 of Properties of the Absolute Value in an Ordered Field we have L11[r,t]hL11[r,t]-L_1\mathbf{1}_{[r,t]}\le h\le L_1\mathbf{1}_{[r,t]} pointwise, so the monotonicity and linearity in claim 2 of Linearity and Monotonicity of the Lebesgue Integral give

[0,T]hdλ[0,T]L11[r,t]dλ=L1λ([r,t]),\Bigl|\int_{[0,T]}h\,d\lambda\Bigr|\le\int_{[0,T]}L_1\mathbf{1}_{[r,t]}\,d\lambda=L_1\,\lambda([r,t]) ,

the last equality because L11[r,t]L_1\mathbf{1}_{[r,t]} is a simple function whose standard representation takes the value L1L_1 on [r,t][r,t] and 00 elsewhere. If r<tr<t then λ([r,t])=tr\lambda([r,t])=t-r by claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval applied to the interval [r,t][r,t], whose restricted Lebesgue measure agrees with λ\lambda on subsets of [r,t][r,t]; if r=tr=t then [r,t][r,t] is a single point and both sides are 00. In either case gtγ(ζ)grγ(ζ)L1tr|g^\gamma_t(\zeta)-g^\gamma_r(\zeta)|\le L_1|t-r|. The constant L1=2RK2L_1=2RK_2 was defined from RR, ll and K1K_1 alone.

Claim 6. A finite grid. Let dRd_{\mathbb{R}} be the absolute-value metric on R\mathbb{R} and let d0d_0 be its restriction to [0,T][0,T]. Then d0d_0 is a metric on [0,T][0,T]: for x,y,z[0,T]x,y,z\in[0,T] the four required conditions, namely 0d0(x,y)0\le d_0(x,y), that d0(x,y)=0d_0(x,y)=0 holds exactly when x=yx=y, that d0(x,y)=d0(y,x)d_0(x,y)=d_0(y,x), and that d0(x,z)d0(x,y)+d0(y,z)d_0(x,z)\le d_0(x,y)+d_0(y,z), are the corresponding conditions for dRd_{\mathbb{R}} evaluated at points of [0,T][0,T], and those hold because dRd_{\mathbb{R}} is a metric on R\mathbb{R} by The Absolute Value Metric on the Real Line. The set [0,T][0,T] is sequentially compact in ([0,T],d0)([0,T],d_0): given a sequence in [0,T][0,T], A Closed Interval is Sequentially Compact in the Real Line applied with 0T0\le T provides a subsequence converging in (R,dR)(\mathbb{R},d_{\mathbb{R}}) to a point of [0,T][0,T], and convergence is a condition on the distances alone, which are unchanged on passing to d0d_0. By Compactness and Sequential Compactness Agree for Subsets of a Metric Space applied in ([0,T],d0)([0,T],d_0) with the subset [0,T][0,T], that set is compact, and by A Compact Subset of a Metric Space is Totally Bounded it is totally bounded in ([0,T],d0)([0,T],d_0). So for every real δ>0\delta>0 there is a finite set F[0,T]F\subseteq[0,T] such that every t[0,T]t\in[0,T] satisfies ta<δ|t-a|<\delta for some aFa\in F; and FF is nonempty because 0[0,T]0\in[0,T].

The estimate. Let ε>0\varepsilon>0 be real. The number E=eΛbTE=e^{\Lambda_bT} is positive, so η=εE1\eta=\varepsilon E^{-1} is positive by claim 7 of Elementary Order Arithmetic in an Ordered Field and claim 5 there. By claim 8 of that lemma choose θ>0\theta>0 with θ+θ=η\theta+\theta=\eta. Since l2l\ge2 we have l>0\sqrt{l}>0; put κ=θ(l)1>0\kappa=\theta\,(\sqrt{l})^{-1}>0, and by two further applications of claim 8 choose κ2>0\kappa_2>0 with κ2+κ2+κ2+κ2=κ\kappa_2+\kappa_2+\kappa_2+\kappa_2=\kappa. Put L=L1+1L=L_1+1, which is positive since L10L_1\ge0, and δ=κ2L1>0\delta=\kappa_2L^{-1}>0. Let FF be a finite nonempty subset of [0,T][0,T] as above for this δ\delta.

For each aFa\in F and each γ{1,,l}\gamma\in\{1,\dots,l\}, claim 3 of Arithmetic of Limits of Real Sequences and weak convergence give that the real sequence (gaγ(ξj))jN=(ξj,wγ,aL2ξ,wγ,aL2)jN\bigl(g^\gamma_a(\xi_j)\bigr)_{j\in\mathbb{N}}=\bigl(\langle\xi_j,w^{\gamma,a}\rangle_{L^{2}}-\langle\xi,w^{\gamma,a}\rangle_{L^{2}}\bigr)_{j\in\mathbb{N}} has limit 00; so there is Na,γNN_{a,\gamma}\in\mathbb{N} with gaγ(ξj)κ2|g^\gamma_a(\xi_j)|\le\kappa_2 for every jNa,γj\ge N_{a,\gamma}. There are finitely many pairs (a,γ)(a,\gamma), so finitely many such choices are made and, the order on N\mathbb{N} being total by claims 1, 2 and 3 of Properties of the Order on the Natural Numbers, an induction on the number of pairs yields N1NN_1\in\mathbb{N} with Na,γN1N_{a,\gamma}\le N_1 for all of them. Since the real sequence (x0jx0)jN(|x^j_0-x_0|)_{j\in\mathbb{N}} has limit 00, there is N2NN_2\in\mathbb{N} with x0jx0θ|x^j_0-x_0|\le\theta for every jN2j\ge N_2. Let NN be whichever of N1,N2N_1,N_2 is the larger.

Let jNj\ge N, let γ{1,,l}\gamma\in\{1,\dots,l\} and let r[0,T]r\in[0,T]. Choose aFa\in F with ra<δ|r-a|<\delta. By claim 5 of Properties of the Absolute Value in an Ordered Field and claim 5 above,

grγ(ξj)gaγ(ξj)+grγ(ξj)gaγ(ξj)κ2+L1δκ2+Lδ=κ2+κ2.|g^\gamma_r(\xi_j)|\le|g^\gamma_a(\xi_j)|+|g^\gamma_r(\xi_j)-g^\gamma_a(\xi_j)|\le\kappa_2+L_1\delta\le\kappa_2+L\delta=\kappa_2+\kappa_2 .

Since κ2+κ2κ\kappa_2+\kappa_2\le\kappa, the number G=κG=\kappa satisfies the hypothesis of claim 4 for the pair (x0j,ξj)(x^j_0,\xi_j) against (x0,ξ)(x_0,\xi). Claim 4 therefore gives, for every t[0,T]t\in[0,T],

StjStE(x0jx0+lκ)E(θ+θ)=Eη=ε,|S^j_t-S_t|\le E\bigl(|x^j_0-x_0|+\sqrt{l}\,\kappa\bigr)\le E(\theta+\theta)=E\eta=\varepsilon ,

using lκ=θ\sqrt{l}\,\kappa=\theta and, for the second inequality, that multiplying a nonstrict inequality by the nonnegative number EE preserves it. This is the required estimate.

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