(Almost) Lowness for K and finite self-information
Herbert, I (University of California, Berkeley)
Tuesday 03 July 2012, 15:00-15:30
Seminar Room 1, Newton Institute
Abstract
A real $X$, is called
low for K if there is a constant $c$
such that using $X$ as an oracle does not decrease the Kolmogorov
complexity of any string by more than $c$. That is, the inequality
$K(\sigma) \leq K^{X}(\sigma) +c$ holds for all $\sigma \in
2^{<\omega}$. One can relax this definition by replacing the
constant with a slow growing function $f$ and one obtains reals that
are `almost' low for $K$ `up to $f$'. It is not surprising that
there are reals that are `almost' low for $K$ but not actually low
for $K$, but the classes of reals that are 'almost' low for $K$ and
those that are low for $K$ in the traditional sense can behave very
differently. We will explain some of these results, and in
particular discuss how they relate to one definition of mutual
information.
Presentation
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