Proof of Stability of the Mean-Field Flow under Perturbation of the Initial State and Weak Convergence of Controls
lemmalem:mean-field-flow-stability-2026aThroughout, is the nonnegative square root, and for a subset of we write for the function on equal to on and to elsewhere. Integrals over a compact subinterval are those of the restricted Lebesgue measure space, an integral over being 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 , when the two products are both ), that adding a fixed number to both sides preserves it (claim 1 there), and that is transitive (claim 2 there, in the form combining a nonstrict with a strict inequality). We also use that for and each one has , 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 of nonnegative terms.
Claim 1. Fix and . By claim 1 of The Projected Extension of an Affine-Controlled Transition-Rate Family the number is a finite nonnegative real, and by its definition there as a supremum, for every ordered pair of distinct states and every . By claim 3 of that lemma,
a sum of terms. As noted above for every , so by claim 5 of Elementary Properties of the Euclidean Norm on , together with the fact that the absolute value of a nonnegative real number is that number itself,
the final inequality by multiplying by the nonnegative number , multiplying by the nonnegative number , and using transitivity of , and likewise for the second term of each summand. By claim 6 of Elementary Properties of the Euclidean Norm on , 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 by the same claim. Hence .
For the second assertion let . By claim 3 of The Projected Extension of an Affine-Controlled Transition-Rate Family, and similarly for , so by the distributivity of the dot product,
Thus is the -th coordinate of the vector of , so by claim 4 of Elementary Properties of the Euclidean Norm on and then claim 4 of The Projected Extension of an Affine-Controlled Transition-Rate Family,
Finally, by claims 5 and 6 of Elementary Properties of the Euclidean Norm on , , using that is by claim 1 of The Projected Extension of an Affine-Controlled Transition-Rate Family a finite real number bounding on . Multiplying by the nonnegative number gives .
Claim 2. Existence of an admissible representative. Let . By the definition of the control set there are with and with such that for every . The set is nonempty by the definition of an affine-controlled transition-rate family; fix and define for and for . Then for every . Each component of equals and so is measurable, and being measurable because . Moreover , so two applications of claim 6 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval to the nonnegative measurable functions and and the co-null set give
so . Since and agree on and , claim 2 of the definition of gives . So is an admissible representative of .
Independence of the representative. Let and be admissible representatives of . Since , claim 2 of The Lebesgue Space of Square-Integrable Vector-Valued Functions on a Compact Interval provides with and for every . Write and fix and . If the two integrals below are both . Suppose . As recorded in the definition of a generalized mean-field trajectory pair, the maps and are measurable on and bounded there, hence integrable. They agree at every outside . Now for some Borel subset of the real line by claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval, so lies in ; and its restricted Lebesgue measure equals its Lebesgue measure, which is at most by the monotonicity in claim 2 of Basic Properties of a Measure. So is null in , and claim 2 of Integrals of Functions Vanishing or Agreeing off a Null Set on a Compact Interval gives
Hence is a continuous map with for every and every . Claim 1 of Existence and Uniqueness of the Generalized Mean-Field Trajectory for a Measurable Control, applied to the initial value and the control , asserts that there is exactly one such map, and that map is ; therefore .
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 and write for the -th component. Each component of is continuous on by claim 2, hence measurable by claim 4 of Measurability of Countable Suprema, Bounded Pointwise Limits, Monotone Functions, and Continuous Functions. The map is sequentially continuous on , in the sense that has limit whenever and the real sequence has limit . Indeed, write , so that the real sequence has limit . 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 has limit then has limit , since .
For each we have by claim 4 of Elementary Properties of the Euclidean Norm on , so has limit by claim 3 of Order Properties of Limits of Real Sequences, and hence has limit . Likewise, claim 2 of Affine-Controlled Transition-Rate Family makes Lipschitz with constant , so claim 4 of Elementary Properties of the Euclidean Norm on gives
The sequence has limit by claim 3 of Arithmetic of Limits of Real Sequences, so has limit by claim 3 of Order Properties of Limits of Real Sequences, and therefore has limit . The displayed formula for expresses 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 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 we have for every , whence pointwise. The constant function with value is a simple function whose standard representation takes the single value on , so its integral is 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 . The -th component of the map is , which is measurable and satisfies pointwise; so its square has finite integral by the monotonicity in claim 1 of Linearity and Monotonicity of the Lebesgue Integral. Summing over and using claim 1 of Elementary Properties of the Euclidean Norm on together with the linearity in claim 1 of Linearity and Monotonicity of the Lebesgue Integral gives . Hence that map is square-integrable and is a well-defined element of .
Claim 4. Let and be admissible representatives of and . Fix and . Since and lie in , claim 6 of The Projected Extension of an Affine-Controlled Transition-Rate Family gives at these arguments, so by claim 2 and claim 1 of Existence and Uniqueness of the Generalized Mean-Field Trajectory for a Measurable Control,
the splitting being the linearity in claim 2 of Linearity and Monotonicity of the Lebesgue Integral. By claim 1 the last integrand equals . Applying claim 2 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval to and to , whose zero extensions to the real line coincide, that last integral equals
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 be the vector with components . Collecting the components of the display and using claim 6 of Elementary Properties of the Euclidean Norm on 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,
Fix and put , so that and hence by claim 1 of Properties of the Absolute Value in an Ordered Field. By claim 3 of that lemma, , so by transitivity, and adding to both sides of gives and hence , again by transitivity. Therefore and are both nonnegative, so their product 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 . Adding to both sides gives .
Summing these termwise bounds, claim 1 of Elementary Properties of the Euclidean Norm on together with claims 2 and 5 of Properties of Finite Sums gives .
We record an elementary fact used here and below: if are real numbers with , and , then . Suppose not, so that ; then gives . Claim 10 of Elementary Order Arithmetic in an Ordered Field, applied to with the positive multiplier , gives . Multiplying by gives : this is an equality if , and a strict inequality by claim 10 of the same lemma if . Claim 2 of Elementary Order Arithmetic in an Ordered Field then yields , contradicting . Applying this fact with and , both nonnegative, gives .
Put and , so that for every . For , claim 6 of Elementary Properties of the Euclidean Norm on and claim 2 give
and symmetrically with and interchanged, so is Lipschitz with constant , 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 in the displayed inequality and using , which holds because and by claim 2, gives for every ; thus is bounded. Since , Gronwall's Lemma for Bounded Measurable Functions applies and yields for every . Finally and , and by claims 2 and 4 of Basic Properties of the Exponential Function the exponential function is positive and strictly increasing, so , with strict inequality when and equality when ; multiplying by the nonnegative number gives .
Claim 5. Let be an admissible representative of and one of , and let ; by symmetry we may assume . By the bilinearity in claim 4 of The Lebesgue Space of Square-Integrable Vector-Valued Functions is a Real Inner Product Space,
Write for the integrand. The factor takes values in and vanishes outside , so by claim 1 the integrand satisfies for every . By claim 3 of Properties of the Absolute Value in an Ordered Field we have pointwise, so the monotonicity and linearity in claim 2 of Linearity and Monotonicity of the Lebesgue Integral give
the last equality because is a simple function whose standard representation takes the value on and elsewhere. If then by claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval applied to the interval , whose restricted Lebesgue measure agrees with on subsets of ; if then is a single point and both sides are . In either case . The constant was defined from , and alone.
Claim 6. A finite grid. Let be the absolute-value metric on and let be its restriction to . Then is a metric on : for the four required conditions, namely , that holds exactly when , that , and that , are the corresponding conditions for evaluated at points of , and those hold because is a metric on by The Absolute Value Metric on the Real Line. The set is sequentially compact in : given a sequence in , A Closed Interval is Sequentially Compact in the Real Line applied with provides a subsequence converging in to a point of , and convergence is a condition on the distances alone, which are unchanged on passing to . By Compactness and Sequential Compactness Agree for Subsets of a Metric Space applied in with the subset , that set is compact, and by A Compact Subset of a Metric Space is Totally Bounded it is totally bounded in . So for every real there is a finite set such that every satisfies for some ; and is nonempty because .
The estimate. Let be real. The number is positive, so is positive by claim 7 of Elementary Order Arithmetic in an Ordered Field and claim 5 there. By claim 8 of that lemma choose with . Since we have ; put , and by two further applications of claim 8 choose with . Put , which is positive since , and . Let be a finite nonempty subset of as above for this .
For each and each , claim 3 of Arithmetic of Limits of Real Sequences and weak convergence give that the real sequence has limit ; so there is with for every . There are finitely many pairs , so finitely many such choices are made and, the order on 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 with for all of them. Since the real sequence has limit , there is with for every . Let be whichever of is the larger.
Let , let and let . Choose with . By claim 5 of Properties of the Absolute Value in an Ordered Field and claim 5 above,
Since , the number satisfies the hypothesis of claim 4 for the pair against . Claim 4 therefore gives, for every ,
using and, for the second inequality, that multiplying a nonstrict inequality by the nonnegative number preserves it. This is the required estimate.
Loading…
Prerequisites
19a891c7-7b0a-4027-8252-790a7ade4060