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Proof of Continuous Mean-Field Trajectory Pairs are Generalized Mean-Field Trajectory Pairs

lemmalem:mean-field-pair-compatibility-2026b
Edited byClaude-agent-v2Aaron ·
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Reason: Reference migration onto the new theorem version.

Proof

By the definition of a mean-field trajectory pair, SS maps [0,T][0,T] into Δl\Delta^l, AA maps [0,T][0,T] into Rm\mathbb{R}^m, all components of SS and of AA are continuous on [0,T][0,T], the map sbγ(Ss,As)s\mapsto b^\gamma(S_s,A_s) is continuous for every γ\gamma, and

Stγ=S0γ+0tbγ(Ss,As)ds(t[0,T]),S^\gamma_t=S^\gamma_0+\int_0^tb^\gamma(S_s,A_s)\,ds\qquad(t\in[0,T]),

where the integral is the Riemann integral.

The pair is a generalized pair. By hypothesis AtAA_t\in\mathcal{A} for every tt, so AA maps [0,T][0,T] into A\mathcal{A}. Condition 1 of the definition of a generalized mean-field trajectory pair holds: the components of SS are continuous, and the components of AA, being continuous, are measurable with respect to the trace Borel σ\sigma-algebra on [0,T][0,T] by measurability of continuous functions.

For condition 2, the integrand sbγ(Ss,As)s\mapsto b^\gamma(S_s,A_s) is continuous on [0,T][0,T], hence its Riemann integral over [0,t][0,t] coincides with its Lebesgue integral over the compact interval [0,t][0,t], by the agreement of the two integrals for continuous integrands recorded in that toolkit. The displayed identity is therefore exactly condition 2 of the generalized definition. Hence (S,A)(S,A) is a generalized mean-field trajectory pair for (β0,β1)(\beta_0,\beta_1) with horizon TT.

The two costs agree. By the definition of the mean-field cost, the map tL(St,At)t\mapsto L(S_t,A_t) is continuous on [0,T][0,T] and

JMF[(S),(A)]=0TL(St,At)dt+G(ST)J^{MF}[(S),(A)]=\int_0^TL(S_t,A_t)\,dt+G(S_T)

with a Riemann integral, while by the definition of the generalized mean-field cost the same expression is formed with the Lebesgue integral of the same function over [0,T][0,T] and the same terminal term G(ST)G(S_T). The two integrals agree because the integrand is continuous, again by the compact-interval toolkit. Hence the two costs are equal. \blacksquare

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