Chen–Hermite Almost Brownian Motion Is Brownian
Prove that any one-dimensional Chen–Hermite almost Brownian motion—namely, any stochastic process whose increments satisfy X_{s,t} ~ N(0, |t−s|) for all s,t and which additionally satisfies the Chen–Hermite balancing condition for every adjacent interval—must be a standard Brownian motion.
References
Conjecture Any Chen-Hermite almost Brownian motion is a $1-$dimensional standard Brownian motion.
— Unbiased Rough Integrators and No Free Lunch in Rough-Path-Based Market Models
(2509.14529 - Ichiba et al., 18 Sep 2025) in Subsection 4.2 (Case 2: H = Span(H^Pol ∪ H^pSig) and 𝔗_T = [0,T]), immediately after Definition ‘Chen-Hermite almost Brownian motion’