Hardy's integral inequality for an interval indicator

ID: hardy-s-integral-inequality-for-an-interval-indicator

Take the indicator function . Direct integration gives
Although the function vanishes beyond one, its average remembers the unit area accumulated before one. Squaring and integrating both portions gives
Thus the tail accounts for half of the squared L2 norm. Averaging does not always decrease the L2 norm with this Lebesgue measure on the half-line. The same indicator function also explains the restriction : , so its average is not in L1 space.
Figure 1.
An indicator function, its Hardy operator average, and the tail's squared L2 norm
. The upper panel shows the input and its running average. The lower panel splits the squared average at one: each portion has integral one, including the tail beyond the plotted range. Details.

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