Proof of Boundedness, Lower Semicontinuity and Attainment of the Mean-Field Cost
theoremthm:mean-field-cost-lsc-attainment-2026aThroughout 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 , and the transitivity of , 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 for the restricted Lebesgue measure on .
Step 0 (the flow is an admissible state path). Let and and write . By claim 2 of the flow stability lemma we have for every and for all . For each , claim 4 of Elementary Properties of the Euclidean Norm on bounds a coordinate by the norm, so ; hence every component of is continuous on and therefore measurable by claim 4 of that lemma. Thus is an admissible state path in the sense of the running-cost lower-semicontinuity lemma, and the running-cost integral is defined.
Step 1 (the representation of ). Keep , and as in Step 0, the symbol 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, is the generalized mean-field cost of the pair under , that is
the integral being the Lebesgue integral over , that is the integral against . By claim 1 of the running-cost lower-semicontinuity lemma, applied to the admissible state path and to that representative, that integral equals and its value does not depend on which admissible representative is used. Hence
Since and were arbitrary in Step 0, this holds for every and every ; 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 , depending only on , and , with for every admissible state path and every . Since is nonempty and compact, claim 1 of the boundedness lemma for population cost data gives a real with for every . Let and and write ; by Step 0, is an admissible state path and , and by the representation of Step 1, . By claim 5 of Properties of the Absolute Value in an Ordered Field,
Put , a nonnegative real number depending only on the data listed in the claim. This proves claim 1.
Claim 2. Let and and write . By Step 0, is an admissible state path in the sense of the running-cost lower-semicontinuity lemma, and by the representation of Step 1, . This proves claim 2.
Claim 3. We apply the sequential characterization of lower semicontinuity with ambient metric space and with , so that the restricted metric is itself. By claim 3 of that lemma it suffices to verify its sequential condition at every point of .
Let , let be a sequence in converging to in , and let be a real number with . By claim 1 of Coordinatewise Convergence, Sequential Compactness and Density in a Product Metric Space the sequence converges to in and the sequence converges to in .
By the definition of the Euclidean distance, , 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 to says exactly that the real sequence has limit . By claim 2 of the weak metrizability and compactness theorem, convergence of to in holds if and only if in the sense of weak convergence; so the latter holds.
Write and ; by Step 0 all of these are admissible state paths. Claim 6 of the flow stability lemma applies to , , and , since , and yields: for every real there is with for every and every . This is precisely the uniform-convergence hypothesis of claim 4 of the running-cost lower-semicontinuity lemma, whose other hypotheses hold because and . That claim therefore gives
the limit inferior being defined because the real sequence is bounded by claim 1 of the same lemma.
Taking in the uniform estimate shows that the real sequence has limit . Fix , which is possible because is nonempty, and consider the sequence in : the Euclidean distances from to converge to , and those from to are . Condition 1 of the population cost data therefore gives that the real sequence has limit .
By claim 8 of Elementary Order Arithmetic in an Ordered Field there is a real with and . By claim 3 of Basic Properties of the Limit Inferior and Limit Superior of a Bounded Real Sequence there is such that
Combining with and adding to both sides of that inequality gives
By the convergence of to there is with for every . By claim 3 of Properties of the Absolute Value in an Ordered Field we have , whence and so
Let be the larger of the two natural numbers and , and let . Adding to both sides of the first displayed strict inequality and 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
where the outer equalities hold by the representation of Step 1 (claim 2) and .
Thus the sequential condition of claim 1 of the sequential characterization holds at . Since was arbitrary, claim 3 of that lemma shows that is lower semicontinuous on for . This proves claim 3.
Claim 4. Fix and define by ; claim 4 asserts that is lower semicontinuous on for the metric , applying the sequential characterization with ambient metric space and . Let , let be a sequence in converging to in , and let be real. The constant sequence with every term converges to in , because . Hence by claim 1 of Coordinatewise Convergence, Sequential Compactness and Density in a Product Metric Space the sequence converges to in . By claim 3, already proved, is lower semicontinuous on , so claim 1 of the sequential characterization, in its necessity direction, gives with for every ; that is, for every . As was arbitrary, claims 1 and 3 of that lemma show that is lower semicontinuous on for . Since was arbitrary, this proves claim 4.
Claim 5. Fix and keep the notation of the previous paragraph, which is lower semicontinuous on by claim 4. First, is nonempty: with as in claim 1 of the projected-extension lemma, which satisfies for every , claim 1 of the control-set properties lemma shows that contains the class of a constant map with value in , and is nonempty. By claim 3 of the weak metrizability and compactness theorem, is a compact subset of the metric space ; the hypotheses of that theorem on hold because is nonempty, compact and convex.
Applying claim 2 of Semicontinuous Functions Attain Their Extrema on a Compact Set with metric space , with the nonempty compact subset and with the lower semicontinuous function , we obtain with for every , that is for every . This proves claim 5.
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Prerequisites
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