I wonder if there is any justification to believe that $NL=L$ or to believe that $NL\neq L$?

It is known that $NL \subset L^2$. The literature on derandomization of $RL$ is pretty convincing that $RL=L$. Does anyone know about some articles or ideas convincing that $NL\neq L$?


First, let me cite skepticism that $L \neq NL$. As it has been shown that undirected graph connectivity is in $L$ (Reingold), and that $NL=coNL$ (Immerman-Szelepcsényi), I think that confidence in $L \neq NL$ has only decreased. Some prominent researchers have never had a strong belief. For example, Juris Hartmanis (founder of the CS department at Cornell and Turing award winner) has said:

We believe that NLOGSPACE differs from LOGSPACE, but not with the same depth of conviction as for the other complexity classes. (Source)

I know he said similar things in the literature as far back as the 70's.

There is some evidence against $L=NL$, although it is circumstantial. There has been work on proving space lower bounds for $s$-$t$ connectivity (the canonical $NL$-complete problem) in restricted computational models. These models are strong enough to run the algorithm of Savitch's theorem (which gives an $O(\log^2 n)$ space algorithm) but are provably not strong enough to do asymptotically better. See the paper "Tight Lower Bounds for st-Connectivity on the NNJAG Model". These NNJAG lower bounds show that, if it's possible to beat Savitch's theorem and even get $NL \subseteq SPACE[o(\log^2 n)]$, one will certainly have to come up with an algorithm that's very different from Savitch.

Still, I don't know of any unlikely, unexpected formal consequences that come from $L=NL$ (except for the obvious ones). Again, this is primarily because we already know things like $NL=coNL$.

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    $\begingroup$ Ryan, can the models in which you can prove the $\Omega(\log^2 n)$ lower bound do undirected connectivity in $O(\log n)$ space? If they are non-uniform models, I guess it should be simple to implement an algorithm based on universal traversal sequences, even in a very restricted model $\endgroup$ – Luca Trevisan Mar 12 '11 at 2:22
  • $\begingroup$ @Luca, the paper Ryan cites by Edmonds et al. notes that undirected connectivity can be solved in $O(\log n)$ space and polynomial time by a randomized algorithm using universal traversal sequences. I suspect that it can be derandomized "a la" Reingold while staying inside the NNJAG model, but I haven't checked. $\endgroup$ – arnab Mar 12 '11 at 15:33
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    $\begingroup$ I think the model can do undirected connectivity on regular graphs in $O(\log n)$ space. Page 4 gives a description of the model. We are allowed $p$ pebbles to move around on the nodes of the graph (for us, let $p=1$), $q$ "states", and a transition function which takes a state and index of pebbled node, and outputs the index of an edge to move the pebble along. (The edges of a vertex $v$ are indexed $0,\ldots,d$.) Using $q=n^{O(1)}$ states we can encode a universal traversal sequence. The space usage of an NNJAG is defined to be $p \log n + \log q$ which in this case is $O(\log n)$. $\endgroup$ – Ryan Williams Mar 12 '11 at 18:31

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