David
193
course coherent with the fact that the 2-dimensional Lebesgue measure has
finite curvature (the rr integral in (11.22) converges brutally). It is important
to understand that there is no contradiction so far. The Lebesgue measure is
not allowed in Theorem 11.12 because R2 does not have o-finite Hl-measure,
and we see this in the argument above when we say that we can cover the set
E by very small balls with a control on the sum of the radii. On the other
hand, our example with many little circles should not disturb us, because
it is rectifiable. The point of the reduction above is that if we are patient
enough, we simply wait long enough and start working in tiny balls where
the normalized curvature is very small. We do not know in advance how
long we will have to wait, but this is to be expected because our example
with little circles suggests that we can only hope to prove that the set E is
rectifiable, not that it is rectifiable with uniform estimates.
The point of the main lemma is that once you have been patient enough,
the bad guy that tries to construct a set E which is unrectifiable does not
have enough curvature left to cause much harm. For instance, replacing each
little circle by a bunch of very tiny circles spread in a disk will cost him a
definite amount of curvature. The bad guy may have used this trick a few
times at larger scales, but now he cannot anymore.
Let us now try to explain why the main lemma may be true. The idea
of the proof is to construct the curve r by the same sort of algorithm as P.
Jones [15] used to embed in a rectifiable curve any set E with appropriate
quadratic estimates on its numbers 0,,,,(x, r). Thus we start from a line at
scale t, and then we start modifying it at smaller and smaller scales to make
it go through more and more points of E. When we are working at scale
2-", say, we choose the new points that we have to add to be at distance
comparable to 2-' from previously introduced points and from each other.
As long as the density of E near the points that we want to add is not
too small, everything works as if the set E was regular, and the length that
we have to add to the current curve to go through the new point can be
controlled by a local r,82(x, r)2, which in turn can be estimated by a ,c(x, r)2,
just like for (11.15). The argument is similar to the ones in [15] and [31].
If the density near a point becomes too small, we do not have enough
control, and so we decide to ignore that point. To be a little more precise, if
we are currently working at scale 2-" and the density of E in a ball of radius
2-" centered on the current r is lower than a certain threshold, we decide to
leave this ball alone for the rest of the construction. We also decide not to
try to incorporate new points of E around which the density is too small.
With this sort of strategy, and because we trust the argument of P. Jones
in the regular case, it is believable that we shall construct a limit curve IF
with finite length, but of course we have to say why many points of E will
lie on r.
There are essentially two interesting types of points of E which do not lie