Singular-limit conjecture for adaptive weight dynamics

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Let the assumptions of Theorem~ hold. For ϵ>0\epsilon>0, let (X(ϵ)(t),w(ϵ)(t))(\bm{X}^{(\epsilon)}(t),\bm{w}^{(\epsilon)}(t)) solve, and let (X(0)(t))(\bm{X}^{(0)}(t)) solve the limiting system with the same initial data. Define wij(0)(t):=β(Xi(0)(t),Xj(0)(t))\bm{w}^{(0)}_{ij}(t)\vcentcolon=\beta(\bm{X}^{(0)}_i(t),\bm{X}^{(0)}_j(t)). Singular-limit conjecture for adaptive weight dynamics. There exists C(t)>0C(t)>0, independent of ϵ\epsilon and dependent on tt and the bounds in Assumptions~ and, such that

1N2∥w(ϵ)(t)−w(0)(t)∥ℓ1([N]×[N])+1N∥X(ϵ)(t)−X(0)(t)∥ℓ2([N])≤ϵC(t).\frac{1}{N^2}\|\bm{w}^{(\epsilon)}(t)-\bm{w}^{(0)}(t)\|_{\ell^1([N]\times[N])}+\frac{1}{N}\|\bm{X}^{(\epsilon)}(t)-\bm{X}^{(0)}(t)\|_{\ell^2([N])}\leq\epsilon C(t).

This formalizes the expectation that rapidly relaxing weights become instantaneously determined by the states, reducing the coupled system to the limiting state equation.

References

Primary source

Datong Zhou, “Non-exchangeable mean-field theory for adaptive weights: propagation of dissociatedness and graphon sampling lemma”, arXiv:2506.13587 (2025).

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