probability theory

Sharp Ternary Martingale Isoperimetry and -adic Takagi-Type Lower Bounds

arXiv:2607.11069

summary

The paper computes the exact isoperimetric profile for the ternary (3‑adic) martingale filtration on [0,1) and establishes sharp logarithmic lower bounds and endpoint L^α estimates for general n‑adic filtrations.

Abstract

Let be the one-variation associated with the regular -adic martingale filtration on . We study the martingale isoperimetric profile \[ V_n(x):= \inf_{\substack{A\subset[0,1)\ {\rm measurable}\\ |A|=x}} \|S_1(\mathbbm 1_A)\|_1 . \] For the ternary filtration we determine this profile exactly. Namely, \[ V_3(x)=T_3(x):= \sum_{j=0}^{\infty}3^{-j}ψ_3(\{3^j x\}), \] where \[ ψ_3(t)= \min\left\{ \frac{1+2\left|t-\frac12\right|}{3}, \frac{2-4\left|t-\frac12\right|}{3} \right\}, \qquad 0\le t\le1 . \] Thus the sharp ternary profile is a Takagi-type Bellman function. It is, however, not the usual ternary Takagi--van der Waerden function ; for example, \[ T_3(1/3)=4/9, \qquad ω_3(1/3)=1/3 . \] For general , we prove that every measurable satisfies \[ \|S_1(\mathbbm 1_A)\|_1 \ge ω_n(|A|^*) \asymp_n |A|^*\log\frac1{|A|^*}, \qquad |A|^*:=\min\{|A|,1-|A|\}. \] Moreover, this logarithmic order is sharp up to a constant depending only on . Finally, for every , we prove the endpoint estimate \[ \|S_1(\mathbbm 1_A)\|_α\ge |A|^*, \] and show that it is sharp up to a constant depending only on and .

Topics & keywords

#martingale isoperimetry#n-adic filtration#takagi function#isoperimetric profile#sharp lower bounds#bellman functionmartingale variationisoperimetric inequalityTakagi-type functionBellman functionn‑adic filtrationL^p estimates
Sharp Ternary Martingale Isoperimetry and $n$-adic Takagi-Type Lower Bounds · wovepaper