Learning about reality from observation
Abstract. (See www.math.umd.edu/
ott for a copy of the paper written with Will Ott).
2400 years ago Plato asked what we can learn from seeing only shadowy images of
reality. In the 1930's Whitney studied "typical" images of manifolds in
and asked when the image was homeomorphic to the original. Let
A be a closed set in
and let
be a ``typical'' smooth map where n > m. (Plato considered
only the case
n = 3, m = 2). Whitney's question has natural extensions. If
is a bounded set, can we conclude the same about A? When can we
conclude the two sets have the same cardinality or the same dimension (for
typical
)? (To simplify or clarify those questions, you might assume
is a "typical" linear map in the sense of Lebesgue measure.)
In the 1980's Takens, Ruelle, Eckmann, Sano and Sawada extended this
investigation to the typical images of attractors of dynamical systems. They
asked when typical images are similar to the original. Now assume further that
A is a compact invariant set for a map f on
. When can we
say that A and
are similar, based only on knowledge of the images
in
of trajectories in A? For example, under what conditions
on
(and the induced dynamics thereon) are A and
homeomorphic? Are their Lyapunov exponents the same? Or, more precisely,
which of their Lyapunov exponents are the same? This talk (and corresponding
paper) addresses these questions with respect to both the general class of
smooth mappings
and the subclass of delay coordinate mappings.
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