Let
$K$
and
$\mu$
be the self-similar set and the self-similar measure associated with an IFS (iterated function system) with probabilities
$(S_i, p_i)_{i=1,\ldots,N}$
satisfying the open set condition. Let
$\Sigma=\{1,\ldots,N\}^{\bb N}$
denote the full shift space and let
$\pi : \Sigma \longrightarrow K$
denote the natural projection. The (symbolic) local dimension of
$\mu$
at
$\omega \in \Sigma$
is defined by
$\lim_n (\log \mu K_{\omega\mid n}/\log\hbox{ diam }K_{\omega\mid n})$
, where
$K_{\omega\mid n}=S_{\omega 1}\circ\ldots\circ S_{\omega_n}(K)$
for
$\omega = (\omega_1, \omega_2,\ldots) \in \Sigma$
. A point
$\omega$
for which the limit
$\lim_n (\log \mu K_{\omega\mid n}/\log\hbox{ diam }K_{\omega\mid n})$
does not exist is called a divergence point. In almost all of the literature the limit
$\lim_n (\log \mu K_{\omega\mid n}/\log\hbox{ diam }K_{\omega\mid n})$
is assumed to exist, and almost nothing is known about the set of divergence points. In the paper a detailed analysis is performed of the set of divergence points and it is shown that it has a surprisingly rich structure. For a sequence
$(x_n)_n$
, let
${\sf A}(x_n)$
denote the set of accumulation points of
$(x_n)_n$
. For an arbitrary subset
$I$
of
${\bb R}$
, the Hausdorff and packing dimension of the set
\[
\left\{\omega\in\Sigma\left\vert {\sf A}\left(\frac{\log\mu K_{\omega\mid n}}{\log\hbox{ diam }K_{\omega\mid n}}\right)\right.=I\right\}
\]
and related sets is computed. An interesting and surprising corollary to this result is that the set of divergence points is extremely ‘visible’; it can be partitioned into an uncountable family of pairwise disjoint sets each with full dimension.
In order to prove the above statements the theory of normal and non-normal points of a self-similar set is formulated and developed in detail. This theory extends the notion of normal and non-normal numbers to the setting of self-similar sets and has numerous applications to the study of the local properties of self-similar measures including a detailed study of the set of divergence points.