BallAverage #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Averages over balls #
The quantities of Section 5.1 are attached to almost-everywhere classes of Sobolev functions, and the only thing known to be measurable in the sample is the integral of the solution over a fixed set. Both gauges are therefore read off the averages
⨍_{B(x, 1/(k+1))} u , x in a countable dense set, k : ℕ ,
of which there are countably many. This module collects what those averages need: that open and closed balls agree away from a null set, that the average is continuous in the centre at a fixed radius, that it converges to the value of the function at almost every point (Lebesgue differentiation), and that translating the centre translates the integrand.
Main results #
ball_ae_eq_closedBall,setAverage_ball_eq_closedBall.continuous_setIntegral_ball— continuity in the centre.ae_tendsto_setAverage_ball— Lebesgue differentiation along1/(k+1).eLpNorm_top_restrict_eq_ballAverageSupNormOn— theL^∞norm on an open set is the supremum of countably many ball averages.
References #
- ABK26, the localized error and regularity quantities of Section 5.1.
1. Open and closed balls #
2. Lebesgue differentiation along the radii 1/(k+1) #
Lebesgue differentiation along the radii 1/(k+1).
3. Continuity of the average in the centre #
At a fixed radius the integral over a ball is continuous in the centre.
At a fixed radius the average over a ball is continuous in the centre.
4. The essential supremum as a countable supremum of ball averages #
The countable family of ball averages of f: the balls B(x, 1/(k+1))
with x in a set D that fit inside U. With D countable this is a
countable supremum.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The L^∞ norm on an open set is the supremum of countably many ball
averages. The elementary inequality is that an average never exceeds the
essential supremum; the converse is Lebesgue differentiation together with the
continuity of the average in the centre, which moves the centre onto the
countable set D.