Abstract
The longest increasing subsequence of a random walk with mean zero and finite variance is known to be . We show that this is not universal for symmetric random walks. In particular, the symmetric Ultra-fat tailed random walk has a longest increasing subsequence that is asymptotically at least and at most . An exponent strictly greater than is also shown for the symmetric stable- distribution when is sufficiently small.
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