Optimal error threshold for essential non-branching

Determine the optimal range of the entropy-error parameter \(\delta\) for which a metric measure space satisfying the almost barycenter curvature–dimension condition \(BCD_\delta(K,\infty)\) is necessarily essentially non-branching.

Background

The paper proves that if a complete separable geodesic metric measure space satisfies the additive-error condition BCDδ(K,)BCD_\delta(K,\infty) with δ<12log2\delta<\frac12\log 2, then the space is essentially non-branching. The threshold arises from the entropy gap log2\log 2 associated with an equal mixture of two mutually singular probability measures in the Rajala–Sturm branching argument.

The authors explicitly describe this bound as sufficient rather than optimal. Determining the largest error parameter—or the sharp dependence on KK and any other geometric data—for which essential non-branching still follows remains unresolved.

References

We do not determine the optimal range of $\delta$ for essential non-branching.

On the Geometry of Wasserstein Barycenter II: Riemannian Rigidity, Essential Non-Branching, and Finsler Models  (2609.19564 - Han et al., 17 Sep 2026) in Section 1, subsection “Main results,” immediately after Theorem 1.2 (Theorem \ref{thm:intro-almost}); see also Section 2.3, Theorem \ref{thm:enb}.