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What were the most surprising results in complexity?

I think it would be useful to have a list of unexpected/surprising results. This includes both results that were surprising and came out of nowhere and also results that turned out different than people expected.

Edit: given the list by Gasarch, Lewis, and Ladner on the complexity blog (pointed out by @Zeyu), let's focus this community wiki on results not on their list. Perhaps this will lead to a focus on results after 2005 (as per @Jukka's suggestion).

An example: Weak Learning = Strong Learning [Schapire 1990]: (Surprisingly?) Having any edge over random guessing gets you PAC learning. Lead to the AdaBoost algorithm.

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  • $\begingroup$ I realize that this may be out-of-scope, but it's good to check the boundaries in beta, right? :) $\endgroup$
    – Lev Reyzin
    Commented Aug 18, 2010 at 18:14
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    $\begingroup$ Certainly on-topic, I would say. $\endgroup$ Commented Aug 18, 2010 at 19:16

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Here is the guest post by Bill Gasarch with help from Harry Lewis and Richard Ladner: http://blog.computationalcomplexity.org/2005/12/surprising-results.html

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  • $\begingroup$ wow I somehow missed this! Probably no need for us to make a list then :) $\endgroup$
    – Lev Reyzin
    Commented Aug 18, 2010 at 18:21
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    $\begingroup$ Perhaps it would be good to focus on surprising results since 2005 here. $\endgroup$ Commented Aug 18, 2010 at 19:20
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If $P \neq NP$, then there is a "diagonalization" proof for it.

This result is due to Kozen. Not everyone agrees with what he calls a "diagonalization" proof.

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    $\begingroup$ This was very supervising for me because I had heard many times that diagonalization cannot seprate $NP$ from $P$. $\endgroup$
    – Kaveh
    Commented Aug 19, 2010 at 21:37
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    $\begingroup$ Can you give a reference? I have not heard of this result previously, but it sounds very interesting. Particularly as it stands in stark contrast with my intuition that relativization rules out what I generally think of as diagonalization proofs... $\endgroup$ Commented Aug 22, 2010 at 17:00
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    $\begingroup$ D. Kozen, "Indexing of subrecursive classes", 1978 $\endgroup$
    – Kaveh
    Commented Aug 22, 2010 at 17:55
  • $\begingroup$ how does this relate to the Baker Gill Solovay 1975 result? $\endgroup$
    – vzn
    Commented Jul 16, 2012 at 20:28
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At Barriers I, a panel of leading complexity theorists agreed that Barrington's Theorem was the result that most surprised them. Fortnow explains Barrington's Theorem here: http://blog.computationalcomplexity.org/2008/11/barringtons-theorem.html

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$NL$ is closed under complementation.

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I would say the recent work of Jain, Upadhyay and Watrous showing that QIP = IP = PSPACE is quite surprising. My opinion is that it isn't so much that QIP = IP is interesting but rather the fact that all of QIP can be simulated in a 3 round quantum interactive proof. A rather cool demonstration of the power of quantum parallelism.

Something that continues to surprise me is that BPP is likely to be P - It brings up a lot of philosophical questions regarding the nature of randomness.

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    $\begingroup$ QIP = QIP(3) has been known for about 10 years now. The QIP = PSPACE paper did not show that. $\endgroup$ Commented Sep 11, 2010 at 2:30
  • $\begingroup$ The recent result QIP=PSPACE is by Jain, Ji, Upadhyay and Watrous. $\endgroup$ Commented Dec 8, 2010 at 23:41
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Gödel's incompleteness theorems

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Razborov-Rudich Natural Proofs theorem.

(AFAIK) People were very hopeful about proving circuit lower bounds but after this theorem many stopped working and moved to other topics.

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The counting version of the Monotone-SAT problem is #P-complete.

A Monotone-SAT instance is a propositional formula $F$ with the following restriction: every variable either always occurs positive or always occurs negative (in other words, every literal in $F$ is a pure literal).

I was very surprised by this result, because the decision version of the Monotone-SAT problem is trivial.

It's widely known that there exist decision problems in P whose counting versions are #P-complete (one example is 2-SAT). But this case is a bit "different" in my opinion: finding a satisfying assignment of a Monotone-SAT instance is not only easy (as, for example, finding a satisfying assignment of a 2-SAT instance), it's dramatically trivial. Not just easy: trivial, literally. Note that given, say, a 2-SAT instance, it can be either satisfiable or unsatisfiable of course; while given a Monotone-SAT instance you know in advance that it is certainly satisfiable: it cannot be unsatisfiable, no way: this confirms that, even both problems are easy, their levels of "decision-easiness" are different. On the other hand, their levels of "counting-uneasiness" is exactly the same.

This strong contrast between the following facts

  1. Deciding Monotone-SAT is dumb-trivial
  2. Counting Monotone-SAT is extremely-hard

is IMHO at least fascinating.

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That the axioms of Choice and Determinacy are not compatible.

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