Friday, March 28, 2003
The Berman-Hartmanis Isomorphism Conjecture
Posted by Lance
In 1976, Berman and Hartmanis considered whether all of the
NP-complete problems might be the same. We says sets A and B are
polynomial-time isomorphic if there exists a function f such
that
- x is in A if and only if f(x) is in B (f reduces A to B),
- f is a bijection, i.e., f is 1-1 and onto,
- f is polynomial-time computable, and
- f-1 is polynomial-time computable.
Conjecture (Berman-Hartmanis): Every pair of NP-complete sets
are isomorphic.
The Isomorphic Relation between sets is an equivalence relation. The
Berman-Hartmanis conjecture is equivalent to saying that every
NP-complete set is isomorphic to SAT.
The conjecture is still open though it has generated a considerable
amount of research in computational complexity. But for now let me
just explain why this question is interesting.
Berman and Hartmanis showed that all of the natural NP-complete sets
at the time, for example all of the problems listed in Garey &
Johnson, are isomorphic. They established this fact by proving that
every paddable NP-complete set is isomorphic to SAT. A set A is
paddable if there is a polynomial-time computable length-increasing
function g such that for all strings x and y, x is in A if and only if
g(x,y) is in A.
Most NP-complete sets are easily seen to be paddable. Consider the
clique problem. Given a graph G and a string y, we can create a new
graph H that encodes y by adding disjoint edges to G while keeping the
clique size of H the same as the clique size of G.
The isomorphism conjecture implies P≠NP, since if P=NP then there
would be finite NP-complete sets which cannot not be isomorphic to the
infinite set SAT. There was a time when Hartmanis was pushing on the
idea of using the conjecture to prove P≠NP but most complexity
theorists now believe the isomorphism conjecture is false.
More on the isomorphism conjecture in future posts.
9:25 AM
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Thursday, March 27, 2003
Is P versus NP undecidable?
Posted by Lance
Haipeng Guo asks "Is is possible that the P vs NP problem is undecidable? Is there any paper talking about this?"
Short Answer: Until we have a proof that P≠NP or a proof that P=NP, we cannot rule out the possibility that the P versus NP question is not provable in one of the standard logical theories. However, I firmly believe
there exists a proof that P≠NP. To think that the question is not provable just because we are not smart enough to prove it is a cop-out.
You'll have to be patient for the long answer. The October 2003 BEATCS Complexity Column will be devoted to this topic.
6:23 AM
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Monday, March 24, 2003
Foundations of Complexity
Lesson 16: Ladner's Theorem
Posted by Lance
Previous Lesson |
Next Lesson
In the 1950's, Friedberg and Muchnik independently showed that there
were sets that were computably enumerable, not computable and not
complete. Does a similar result hold for complexity theory?
Suppose P≠NP. We have problems that are in P and problems that are
NP-complete and we know these sets are disjoint. Is there anything
else in NP? In 1975, Ladner showed the answer is yes.
Theorem (Ladner) If P≠NP then there is a set A in NP such
that A is not in P and A is not NP-complete.
I wrote up two
proofs of this result, one based on Ladner's proof and one based
on a proof of Impagliazzo. The write-up is taken mostly from a paper
by Rod Downey and myself.
4:26 PM
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Friday, March 21, 2003
On Basketball and Politics
Posted by Lance
Some follow-up on earlier posts of this week.
The University of Connecticut
defeated
BYU in men's basketball yesterday, keeping the integrity of
the tree.
If you are a male American, you are likely participating in a pool
predicting the outcomes of the games of the NCAA basketball
tournament. How are you doing? Have you been eliminated yet? Not such
an easy question to answer as it turns out. Six MIT grad students have
recently
shown
it is NP-complete to decide if you can still win the pool.
Dave Pennock pointed out that there have been many articles in the popular
press about information
markets including a piece
in the New Yorker.
Pennock also mentioned the Iowa Electronic
Markets, which allows limited legal trading in certain
political markets.
1:20 PM
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Thursday, March 20, 2003
ICALP Papers Announced
Posted by Lance
The accepted papers for ICALP have been posted. As I mentioned
last week, ICALP has two submission tracks that match the Theory A and Theory B split. The list of accepted papers though has both tracks intermingled. See if you can guess
which papers are from track A and which papers are from track B.
5:51 AM
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Wednesday, March 19, 2003
Information Markets
Posted by Lance
Suppose you want to make a prediction on say who will win the Best
Actress Award at Sunday's Oscars. You can visit various web sites,
look at the predictions of so-called experts, look at polls,
etc. Aggregating all of this information to make a single prediction
seems quite difficult.
Information Markets do information aggregation by creating financial
securities based on the outcome of some event. You can then make
predictions based on the prices of these securities. For example, look
at the Best Actress page
of the Hollywood Stock Exchange. There are five securities
listed for each of the nominees. Each security will pay out $25 if
that nominee wins and $0 otherwise. At the time I am writing this,
the price of the Nicole Kidman security is $13.45. If you take the
ratio of the price to the final payoff this gives a probability of
winning. For Kidman that would be a $13.45/$25 or 53.8% chance of
winning the award.
There are two problems with the Hollywood Stock Exchange. First they
don't use real money since that would be illegal in the US. Also the
best actress winner has already been chosen so if real money were
being used there is the potential for corruption. Nevertheless studies have shown that even
such artificial markets still do far better than the experts in
predicting the winners.
You can eliminate the problems by considering sporting events on real
off-shore betting sites. Sites like Tradesports or the World Sports Exchange have
securities (futures) on outcomes based on sporting events that you can
look at without registering. In
Tradesports consider the security NCAA.BK.KENTUCKY that pays off $100
if the University of Kentucky wins the men's basketball championship
and $0 otherwise. The price as I am writing has a bid of $25 and an
ask of $26 meaning that Kentucky has between a 25% and 26% chance of
winning the NCAA tournament. It will be interesting to see the price
and thus the odds change as the tournament progresses. For example
if Arizona would be upset in an early round, this should cause
Kentucky's price to go up.
Tradesports also has securities in entertainment and political
events. On Tradesports Kidman has a bid/ask of $54/$57 not too far off
of the Hollywood Stock Exchange.
9:04 AM
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Tuesday, March 18, 2003
It's Not a Tree After All
Posted by Lance
On Sunday, I posted a link to the 2003 NCAA Division 1 Men's Basketball Championship Brackets which
I called "America's Favorite Binary Tree". But in a strange twist the championship is not quite a tree this year.
In a usual year the rules are simple. Each team plays its sibling. The winner advances to the parent node and the process repeats. The team that reaches the root is the champion.
The tree structure gives a nice uniqueness factor. If Notre Dame plays Duke this year, they would have to meet in the fourth round. There is no scenario of plays in the other games that would cause Notre Dame
to play Duke in any other round.
So why isn't it a tree this year? The problem is Brigham Young University. If BYU wins their first three games, they would have played their fourth game on Sunday, March 30. BYU is a Mormon school and
school policy forbids games on Sundays. The NCAA solution is the following: If BYU wins their first two games they would swap with one of the teams from the Midwest subtree which plays its fourth round on Saturday the 29th. In the more likely event that BYU does not win its first two games the original schedule will hold.
It's not hard to show that the uniqueness property above no longer holds and thus the tournament this year no longer can be represented as a tree.
8:52 AM
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Monday, March 17, 2003
War and This Weblog
Posted by Lance
I was teaching my class right after the first Gulf war started in 1991
and wondering what to say. Sometimes I wish I were a history or
government professor and could bring in current events into my
lectures. But I taught computer science so I mumbled a few words
acknowledging the conflict and went on to talk about NP-completeness
or whatever I was teaching back then.
Now with the second war about to start I am not teaching but am in a
similar position with respect to this weblog. I will not discuss much
about the war in this weblog, there are plenty of other weblogs for that purpose. I will
instead keep this weblog going as usual to keep a sense of normalcy and
because science, in its pure form, does not depend on the political
events of the world.
9:53 AM
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Sunday, March 16, 2003
March Madness
Posted by Lance
Check out America's Favorite Binary Tree.
6:59 PM
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Friday, March 14, 2003
Doing homework the hard way
Posted by Lance
In yesterday's post I linked to some lecture
notes of Vigoda on Valiant's result. Those notes also cite a paper
of Zankó. Now every paper has a story but this one is a little
more interesting than most.
In my first year as an assistant professor at the University of
Chicago, I taught a graduate complexity course where I gave a homework
question to show that computing the permanent of a matrix A with
nonnegative integer entries is in #P. Directly constructing a
nondeterministic Turing machine such that Perm(A) is the number of
accepting computations of M(A) is not too difficult and that was the
approach I was looking for.
In class we had shown that computing the permanent of a zero-one
matrix is in #P so Viktoria Zankó decided to reduce my homework
question to this problem. She came up with a rather clever reduction
that converted a matrix A to a zero-one matrix B with
Perm(A)=Perm(B). This reduction indeed answered my homework question
while, unbeknownst to Zankó at the time, answered an open
question of Valiant. Thus Zankó got a publication by solving a
homework problem the hard way.
7:25 AM
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Thursday, March 13, 2003
Complexity Class of the Week: The Permanent
Posted by Lance
Previous CCW
Let A={aij}
be an n×n matrix over the integers. The determinant of the
A is defined as
Det(A)=Σσ(-1)|σ|
a1σ(1)a2σ(2)...anσ(n)
where σ ranges over all permutations on n elements and
|σ| is the number of 2-cycles one has to apply to σ to get
back the identity.
The determinant is computable efficiently using Gaussian
Elimination and taking the product of the diagonal.
The permanent has a similar definition without the -1 term. We define
the permanent of A by
Perm(A)=Σσ
a1σ(1)a2σ(2)...anσ(n)
Suppose G is a bipartite
graph and let aij be 1 if there is an edge from the ith
node on the left to the jth node on the right and 0 otherwise. Then
Perm(A) is the number of perfect matchings in G.
Unlike the determinant the permanent seems quite hard to
compute. In 1979, Valiant showed
that the permanent is #P-complete,
i.e., computing the permanent is as hard as counting the number of
satisfying assignments of a Boolean formula. The hardness of the
permanent became more clear after Toda's Theorem showing that every
language in the polynomial-time
hierarchy is reducible to a #P problem and then the permanent.
The permanent is difficult to compute even if all the entries are 0
and 1. However determining whether the permanent is even or odd is
easy since Perm(A) = Det(A) mod 2.
Since we can't likely compute the permanent exactly, can we
approximate it? The big breakthrough came a few years ago in a paper by
Jerrum, Sinclair and Vigoda showing how to approximate the permanent
if the entries are not negative.
1:49 PM
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Tuesday, March 11, 2003
Theory A and Theory B
Posted by Lance
Four speakers are chosen for the NVTI Theory Day along two axis: In
and out of the Netherlands, and Theory A and Theory B. For example I was the
non-Dutch Theory A speaker. But what is Theory A and B?
In 1994, the Handbook
of Theoretical Computer Science was published as a two volume
set each containing many survey articles that have for the most part
stood the test of time. From the backcover: Volume A [Algorithms and
Complexity] covers models of computation, complexity theory, data
structure and efficient computation. Volume B [Formal Models and
Semantics] presents material on automata and rewriting systems,
foundations of programming languages, logics for program specification
and verification and modeling of advanced information processing.
Over the years, Theory A and Theory B have come to represent the areas
discussed in the corresponding volumes. In the US the term theoretical
computer science covers areas mostly in Theory A. For example STOC and
FOCS, the major US theory conferences, cover very little in Theory
B. This is not to say Theory B is not done in this country; it is just
labelled as logic or programming languages.
Outside the US there is a broader view of what is theory. The European
ICALP conference covers
both areas and has two submission tracks A and B that again correspond to
Theory A and B.
Some countries, like Britain and France, focuses mostly on Theory
B. Other countries, like the Netherlands and Germany have many groups
in both areas.
Some Europeans are upset that their research is not considered theory
by the Americans. Too bad.
12:47 PM
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Monday, March 10, 2003
Talk Posted
Posted by Lance
I posted the slides of my talk, "Church, Kolmogorov and von Neumann: Their Legacy Lives in Complexity" that I presented at the Dutch Theory Day last week, for those that are interested.
3:24 PM
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Tuesday, March 04, 2003
Rush Hour
Posted by Lance
John Tromp at CWI has been telling me about some work he is doing on the Rush Hour problem. Rush Hour is a puzzle where you
have to remove a car stuck in gridlock. A nice description of the problem is presented in a Science News article.
The general problem is PSPACE complete shown by Eric Baum and Gary Flake when they were at NEC. Tromp tells me that he has shown the problem is still PSPACE-complete
when the cars are 2x1. Oddly enough the 1x1 case is the hardest to analyze and its complexity remains wide open.
Also check out Tromp's Rush Hour mazes.
3:37 AM
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Saturday, March 01, 2003
Cardinality Theorem for Regular Languages?
Posted by Lance
Till Tantau told me an interesting open question at STACS. Kummer proved the following Cardinality Theorem for the recursive sets: Fix a constant
k and set A. If there is a recursive function f such that for all x1,...,xk, f(x1,...,xk) is a number
between 0 and k that is not |{x1,...,xk}∩A| then A is recursive. The same is not true for polynomial time but is open
for regular languages. Details and some partial results in Tantau's paper.
6:28 AM
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