Let R be the set of random strings, the x such that C(x)≥|x|. There
are various theorems that many such x must exist at every length. What
is the power of R?
R is co-r.e. as one can enumerate small programs to generate the
strings x such that C(x)<|x|. One can also reduce the halting
problem to R: Suppose we want to know whether a program p halts on
blank tape. Let n=|p|. Let t be the number of steps to enumerate all
of the strings in R of length 2n. We know when we have enumerated them
all by using R. Then if p halts it will halt within t steps. Otherwise
let s>t be the number of steps p needs to halt. We can run the
enumeration of strings in R of length 2n for s steps. Let x be the
lexicographically least string of length 2n not enumerated. We have
C(x)≤|p|+O(1) since we need only p to describe this process. But
since |p|<2n=|x| this contradicts the fact that we had enumerated
all the nonrandom strings.
In this workshop Eric Allender talked about his
work with various colleagues looking at what one can get with
polynomial-time reductions to random strings. The reduction time above
is not bounded by any recursive function. For example they can show
any language in PSPACE polynomial-time reduces to R and any language
in EXP reduces to R via polynomial-size circuits, as well as many
results on different notions of random strings. They use various
complexity tools like pseudorandom generators and interactive
proof systems in their proofs.