Measurability of the return time and the return-time exponent ratio #
This module records two measurability facts about the suspension cross-section schedule that are needed to make the special-flow Lyapunov exponent set measurable in the base point. Both are read off mechanically from existing measurability infrastructure.
The first is that, for each lap index n, the return time returnTime T hτ n x (the flow time
elapsed over n base returns) is a measurable function of the base point x. By definition
returnTime T hτ n x = roofSum T hτ (n : ℤ) x = -(suspensionAct T hτ (n : ℤ) (x, 0)).2, so this
follows from the measurability of the integer iterates of the suspension action
(measurable_suspensionAct, of Oseledets.Continuous.SuspensionFlowMP).
The second is that the return-time exponent ratio
x ↦ Real.log ‖cocycle A (⇑T) n x‖ / returnTime T hτ n x is measurable, combining the
measurability of the discrete log-norm cocycle (measurable_logNorm_cocycle, of
Oseledets.Cocycle.FurstenbergKesten) with the measurability of the return time. This is the
per-index input to MeasureTheory.measurableSet_tendsto, which downstream turns the discrete
return-time exponent convergence set into a measurable set.
Main results #
Oseledets.measurable_returnTime: the return timex ↦ returnTime T hτ n xis measurable.Oseledets.measurable_logNorm_div_returnTime: the return-time exponent ratiox ↦ Real.log ‖cocycle A (⇑T) n x‖ / returnTime T hτ n xis measurable.
Measurability of the return time. For each lap index n, the flow time returnTime T hτ n x elapsed over n base returns is a measurable function of the base point x. It is the negated
ℝ-coordinate of the n-th integer iterate of the suspension action started at height 0
(returnTime T hτ n x = -(suspensionAct T hτ (n : ℤ) (x, 0)).2), so it is measurable by
measurable_suspensionAct.
Measurability of the return-time exponent ratio. For each lap index n, the rescaled
log-norm x ↦ Real.log ‖cocycle A (⇑T) n x‖ / returnTime T hτ n x is a measurable function of the
base point x. It is the quotient of the measurable discrete log-norm cocycle
(measurable_logNorm_cocycle) and the measurable return time (measurable_returnTime). This is the
per-index input to MeasureTheory.measurableSet_tendsto.