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Proof of Boundedness, Lower Semicontinuity and Attainment of the Mean-Field Cost

theoremthm:mean-field-cost-lsc-attainment-2026a
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Reason: First published version. Establishes that the mean-field flow is an admissible state path, derives the representation of the mean-field cost by the running-cost integral, and deduces boundedness, lower semicontinuity on the product space and in the control, and attainment of the minimum.

Proof

Throughout we use the order arithmetic of Elementary Order Arithmetic in an Ordered Field. Its clauses 1 and 10 are stated for strict inequalities; the corresponding statements for \le, and the transitivity of \le, follow by treating the equality case (and, for multiplication, the case of a zero multiplier) separately, and we use them under this convention without further comment. We write λ=λ[0,T]\lambda=\lambda_{[0,T]} for the restricted Lebesgue measure on [0,T][0,T].

Step 0 (the flow is an admissible state path). Let x0Δlx_{0}\in\Delta^{l} and ξUA\xi\in\mathcal{U}_{\mathcal{A}} and write S=S(x0,ξ)S=S(x_{0},\xi). By claim 2 of the flow stability lemma we have StΔlS_{t}\in\Delta^{l} for every t[0,T]t\in[0,T] and StSrKbtr|S_{t}-S_{r}|\le K_{b}|t-r| for all r,t[0,T]r,t\in[0,T]. For each γ{1,,l}\gamma\in\{1,\dots,l\}, claim 4 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n bounds a coordinate by the norm, so StγSrγStSrKbtr|S^{\gamma}_{t}-S^{\gamma}_{r}|\le|S_{t}-S_{r}|\le K_{b}|t-r|; hence every component of SS is continuous on [0,T][0,T] and therefore measurable by claim 4 of that lemma. Thus SS is an admissible state path in the sense of the running-cost lower-semicontinuity lemma, and the running-cost integral ΦS(ξ)\Phi_{S}(\xi) is defined.

Step 1 (the representation of FF). Keep x0x_{0}, ξ\xi and SS as in Step 0, the symbol ξ\xi denoting also an admissible representative as in the definition of the mean-field cost; such a representative exists by claim 2 of the flow stability lemma. By that definition, F(x0,ξ)F(x_{0},\xi) is the generalized mean-field cost of the pair (S,ξ)(S,\xi) under (L,G)(L,G), that is

F(x0,ξ)=[0,T]L(St,ξ(t))dλ(t)+G(ST),F(x_{0},\xi)=\int_{[0,T]}L\bigl(S_{t},\xi(t)\bigr)\,d\lambda(t)+G(S_{T}),

the integral being the Lebesgue integral over [0,T][0,T], that is the integral against λ\lambda. By claim 1 of the running-cost lower-semicontinuity lemma, applied to the admissible state path SS and to that representative, that integral equals ΦS(ξ)\Phi_{S}(\xi) and its value does not depend on which admissible representative is used. Hence

F(x0,ξ)=ΦS(ξ)+G(ST).F(x_{0},\xi)=\Phi_{S}(\xi)+G(S_{T}).

Since x0Δlx_{0}\in\Delta^{l} and ξUA\xi\in\mathcal{U}_{\mathcal{A}} were arbitrary in Step 0, this holds for every x0Δlx_{0}\in\Delta^{l} and every ξUA\xi\in\mathcal{U}_{\mathcal{A}}; we refer to it below as the representation of Step 1.

Claim 1. By claim 1 of the running-cost lower-semicontinuity lemma there is a real C0C\ge0, depending only on LL, Δl\Delta^{l} and A\mathcal{A}, with ΦS(ξ)CT|\Phi_{S}(\xi)|\le CT for every admissible state path SS and every ξUA\xi\in\mathcal{U}_{\mathcal{A}}. Since A\mathcal{A} is nonempty and compact, claim 1 of the boundedness lemma for population cost data gives a real C0C'\ge0 with G(Σ)C|G(\Sigma)|\le C' for every ΣΔl\Sigma\in\Delta^{l}. Let x0Δlx_{0}\in\Delta^{l} and ξUA\xi\in\mathcal{U}_{\mathcal{A}} and write S=S(x0,ξ)S=S(x_{0},\xi); by Step 0, SS is an admissible state path and STΔlS_{T}\in\Delta^{l}, and by the representation of Step 1, F(x0,ξ)=ΦS(ξ)+G(ST)F(x_{0},\xi)=\Phi_{S}(\xi)+G(S_{T}). By claim 5 of Properties of the Absolute Value in an Ordered Field,

F(x0,ξ)=ΦS(ξ)+G(ST)ΦS(ξ)+G(ST)CT+C.|F(x_{0},\xi)|=\bigl|\Phi_{S}(\xi)+G(S_{T})\bigr|\le|\Phi_{S}(\xi)|+|G(S_{T})|\le CT+C' .

Put CF=CT+CC_{F}=CT+C', a nonnegative real number depending only on the data listed in the claim. This proves claim 1.

Claim 2. Let x0Δlx_{0}\in\Delta^{l} and ξUA\xi\in\mathcal{U}_{\mathcal{A}} and write S=S(x0,ξ)S=S(x_{0},\xi). By Step 0, SS is an admissible state path in the sense of the running-cost lower-semicontinuity lemma, and by the representation of Step 1, F(x0,ξ)=ΦS(ξ)+G(ST)F(x_{0},\xi)=\Phi_{S}(\xi)+G(S_{T}). This proves claim 2.

Claim 3. We apply the sequential characterization of lower semicontinuity with ambient metric space (X,dX)(X,d_{X}) and with A=XA=X, so that the restricted metric is dXd_{X} itself. By claim 3 of that lemma it suffices to verify its sequential condition at every point of XX.

Let (x0,ξ)X(x_{0},\xi)\in X, let ((x0j,ξj))jN\bigl((x^{j}_{0},\xi_{j})\bigr)_{j\in\mathbb{N}} be a sequence in XX converging to (x0,ξ)(x_{0},\xi) in (X,dX)(X,d_{X}), and let ε\varepsilon be a real number with 0<ε0<\varepsilon. By claim 1 of Coordinatewise Convergence, Sequential Compactness and Density in a Product Metric Space the sequence (x0j)jN(x^{j}_{0})_{j\in\mathbb{N}} converges to x0x_{0} in (Δl,dΔ)(\Delta^{l},d_{\Delta}) and the sequence (ξj)jN(\xi_{j})_{j\in\mathbb{N}} converges to ξ\xi in (UA,ρ)(\mathcal{U}_{\mathcal{A}},\rho).

By the definition of the Euclidean distance, dΔ(x0j,x0)=x0jx0d_{\Delta}(x^{j}_{0},x_{0})=|x^{j}_{0}-x_{0}|, and this quantity is nonnegative by claim 1 of Properties of the Absolute Value in an Ordered Field, so it coincides with its own absolute value by the definition of the absolute value. Hence convergence of (x0j)(x^{j}_{0}) to x0x_{0} says exactly that the real sequence (x0jx0)jN\bigl(|x^{j}_{0}-x_{0}|\bigr)_{j\in\mathbb{N}} has limit 00. By claim 2 of the weak metrizability and compactness theorem, convergence of (ξj)(\xi_{j}) to ξ\xi in ρ\rho holds if and only if ξjξ\xi_{j}\rightharpoonup\xi in the sense of weak convergence; so the latter holds.

Write Sj=S(x0j,ξj)S^{j}=S(x^{j}_{0},\xi_{j}) and S=S(x0,ξ)S=S(x_{0},\xi); by Step 0 all of these are admissible state paths. Claim 6 of the flow stability lemma applies to (x0j)(x^{j}_{0}), x0x_{0}, (ξj)(\xi_{j}) and ξ\xi, since ξUA\xi\in\mathcal{U}_{\mathcal{A}}, and yields: for every real η>0\eta>0 there is NNN\in\mathbb{N} with StjStη|S^{j}_{t}-S_{t}|\le\eta for every t[0,T]t\in[0,T] and every jNj\ge N. This is precisely the uniform-convergence hypothesis of claim 4 of the running-cost lower-semicontinuity lemma, whose other hypotheses hold because ξjUA\xi_{j}\in\mathcal{U}_{\mathcal{A}} and ξjξ\xi_{j}\rightharpoonup\xi. That claim therefore gives

ΦS(ξ)lim infjΦSj(ξj),\Phi_{S}(\xi)\le\liminf_{j}\Phi_{S^{j}}(\xi_{j}),

the limit inferior being defined because the real sequence (ΦSj(ξj))jN\bigl(\Phi_{S^{j}}(\xi_{j})\bigr)_{j\in\mathbb{N}} is bounded by claim 1 of the same lemma.

Taking t=Tt=T in the uniform estimate shows that the real sequence (STjST)jN\bigl(|S^{j}_{T}-S_{T}|\bigr)_{j\in\mathbb{N}} has limit 00. Fix aAa\in\mathcal{A}, which is possible because A\mathcal{A} is nonempty, and consider the sequence ((STj,a))jN\bigl((S^{j}_{T},a)\bigr)_{j\in\mathbb{N}} in Δl×Rm\Delta^{l}\times\mathbb{R}^{m}: the Euclidean distances from STjS^{j}_{T} to STS_{T} converge to 00, and those from aa to aa are 00. Condition 1 of the population cost data therefore gives that the real sequence (G(STj))jN\bigl(G(S^{j}_{T})\bigr)_{j\in\mathbb{N}} has limit G(ST)G(S_{T}).

By claim 8 of Elementary Order Arithmetic in an Ordered Field there is a real ε1\varepsilon_{1} with 0<ε10<\varepsilon_{1} and ε1+ε1=ε\varepsilon_{1}+\varepsilon_{1}=\varepsilon. By claim 3 of Basic Properties of the Limit Inferior and Limit Superior of a Bounded Real Sequence there is N1NN_{1}\in\mathbb{N} such that

lim infjΦSj(ξj)ε1<ΦSk(ξk)for every kN1.\liminf_{j}\Phi_{S^{j}}(\xi_{j})-\varepsilon_{1}<\Phi_{S^{k}}(\xi_{k})\qquad\text{for every }k\ge N_{1}.

Combining with ΦS(ξ)lim infjΦSj(ξj)\Phi_{S}(\xi)\le\liminf_{j}\Phi_{S^{j}}(\xi_{j}) and adding ε1-\varepsilon_{1} to both sides of that inequality gives

ΦS(ξ)ε1<ΦSk(ξk)for every kN1.\Phi_{S}(\xi)-\varepsilon_{1}<\Phi_{S^{k}}(\xi_{k})\qquad\text{for every }k\ge N_{1}.

By the convergence of (G(STj))\bigl(G(S^{j}_{T})\bigr) to G(ST)G(S_{T}) there is N2NN_{2}\in\mathbb{N} with G(STk)G(ST)<ε1|G(S^{k}_{T})-G(S_{T})|<\varepsilon_{1} for every kN2k\ge N_{2}. By claim 3 of Properties of the Absolute Value in an Ordered Field we have G(STk)G(ST)G(STk)G(ST)-|G(S^{k}_{T})-G(S_{T})|\le G(S^{k}_{T})-G(S_{T}), whence ε1<G(STk)G(ST)-\varepsilon_{1}<G(S^{k}_{T})-G(S_{T}) and so

G(ST)ε1<G(STk)for every kN2.G(S_{T})-\varepsilon_{1}<G(S^{k}_{T})\qquad\text{for every }k\ge N_{2}.

Let NN be the larger of the two natural numbers N1N_{1} and N2N_{2}, and let kNk\ge N. Adding G(STk)G(S^{k}_{T}) to both sides of the first displayed strict inequality and ΦS(ξ)ε1\Phi_{S}(\xi)-\varepsilon_{1} to both sides of the second, using claim 1 of Elementary Order Arithmetic in an Ordered Field each time, and then chaining the two resulting strict inequalities by claim 2 of that lemma, we obtain

F(x0,ξ)ε=(ΦS(ξ)ε1)+(G(ST)ε1)<ΦSk(ξk)+G(STk)=F(x0k,ξk),F(x_{0},\xi)-\varepsilon=\bigl(\Phi_{S}(\xi)-\varepsilon_{1}\bigr)+\bigl(G(S_{T})-\varepsilon_{1}\bigr)<\Phi_{S^{k}}(\xi_{k})+G(S^{k}_{T})=F(x^{k}_{0},\xi_{k}),

where the outer equalities hold by the representation of Step 1 (claim 2) and ε1+ε1=ε\varepsilon_{1}+\varepsilon_{1}=\varepsilon.

Thus the sequential condition of claim 1 of the sequential characterization holds at (x0,ξ)(x_{0},\xi). Since (x0,ξ)X(x_{0},\xi)\in X was arbitrary, claim 3 of that lemma shows that FF is lower semicontinuous on XX for dXd_{X}. This proves claim 3.

Claim 4. Fix x0Δlx_{0}\in\Delta^{l} and define Fx0:UARF_{x_{0}}:\mathcal{U}_{\mathcal{A}}\to\mathbb{R} by Fx0(ξ)=F(x0,ξ)F_{x_{0}}(\xi)=F(x_{0},\xi); claim 4 asserts that Fx0F_{x_{0}} is lower semicontinuous on UA\mathcal{U}_{\mathcal{A}} for the metric ρ\rho, applying the sequential characterization with ambient metric space (UA,ρ)(\mathcal{U}_{\mathcal{A}},\rho) and A=UAA=\mathcal{U}_{\mathcal{A}}. Let ξUA\xi\in\mathcal{U}_{\mathcal{A}}, let (ξj)jN(\xi_{j})_{j\in\mathbb{N}} be a sequence in UA\mathcal{U}_{\mathcal{A}} converging to ξ\xi in (UA,ρ)(\mathcal{U}_{\mathcal{A}},\rho), and let ε>0\varepsilon>0 be real. The constant sequence with every term x0x_{0} converges to x0x_{0} in (Δl,dΔ)(\Delta^{l},d_{\Delta}), because dΔ(x0,x0)=0d_{\Delta}(x_{0},x_{0})=0. Hence by claim 1 of Coordinatewise Convergence, Sequential Compactness and Density in a Product Metric Space the sequence ((x0,ξj))jN\bigl((x_{0},\xi_{j})\bigr)_{j\in\mathbb{N}} converges to (x0,ξ)(x_{0},\xi) in (X,dX)(X,d_{X}). By claim 3, already proved, FF is lower semicontinuous on XX, so claim 1 of the sequential characterization, in its necessity direction, gives NNN\in\mathbb{N} with F(x0,ξ)ε<F(x0,ξj)F(x_{0},\xi)-\varepsilon<F(x_{0},\xi_{j}) for every jNj\ge N; that is, Fx0(ξ)ε<Fx0(ξj)F_{x_{0}}(\xi)-\varepsilon<F_{x_{0}}(\xi_{j}) for every jNj\ge N. As ξ\xi was arbitrary, claims 1 and 3 of that lemma show that Fx0F_{x_{0}} is lower semicontinuous on UA\mathcal{U}_{\mathcal{A}} for ρ\rho. Since x0Δlx_{0}\in\Delta^{l} was arbitrary, this proves claim 4.

Claim 5. Fix x0Δlx_{0}\in\Delta^{l} and keep the notation Fx0F_{x_{0}} of the previous paragraph, which is lower semicontinuous on UA\mathcal{U}_{\mathcal{A}} by claim 4. First, UA\mathcal{U}_{\mathcal{A}} is nonempty: with RR as in claim 1 of the projected-extension lemma, which satisfies aR|a|\le R for every aAa\in\mathcal{A}, claim 1 of the control-set properties lemma shows that UA\mathcal{U}_{\mathcal{A}} contains the class of a constant map with value in A\mathcal{A}, and A\mathcal{A} is nonempty. By claim 3 of the weak metrizability and compactness theorem, UA\mathcal{U}_{\mathcal{A}} is a compact subset of the metric space (UA,ρ)(\mathcal{U}_{\mathcal{A}},\rho); the hypotheses of that theorem on A\mathcal{A} hold because A\mathcal{A} is nonempty, compact and convex.

Applying claim 2 of Semicontinuous Functions Attain Their Extrema on a Compact Set with metric space (UA,ρ)(\mathcal{U}_{\mathcal{A}},\rho), with the nonempty compact subset K=UAK=\mathcal{U}_{\mathcal{A}} and with the lower semicontinuous function Fx0F_{x_{0}}, we obtain ξUA\xi^{*}\in\mathcal{U}_{\mathcal{A}} with Fx0(ξ)Fx0(ξ)F_{x_{0}}(\xi^{*})\le F_{x_{0}}(\xi) for every ξUA\xi\in\mathcal{U}_{\mathcal{A}}, that is F(x0,ξ)F(x0,ξ)F(x_{0},\xi^{*})\le F(x_{0},\xi) for every ξUA\xi\in\mathcal{U}_{\mathcal{A}}. This proves claim 5.

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