684 research outputs found
Parallel repetition: simplifications and the no-signaling case
Consider a game where a refereed a referee chooses (x,y) according to a
publicly known distribution P_XY, sends x to Alice, and y to Bob. Without
communicating with each other, Alice responds with a value "a" and Bob responds
with a value "b". Alice and Bob jointly win if a publicly known predicate
Q(x,y,a,b) holds.
Let such a game be given and assume that the maximum probability that Alice
and Bob can win is v<1. Raz (SIAM J. Comput. 27, 1998) shows that if the game
is repeated n times in parallel, then the probability that Alice and Bob win
all games simultaneously is at most v'^(n/log(s)), where s is the maximal
number of possible responses from Alice and Bob in the initial game, and v' is
a constant depending only on v.
In this work, we simplify Raz's proof in various ways and thus shorten it
significantly. Further we study the case where Alice and Bob are not restricted
to local computations and can use any strategy which does not imply
communication among them.Comment: 27 pages; v2:PRW97 strengthening added, references added, typos
fixed; v3: fixed error in the proof of the no-signaling theorem, minor
change
Upper Tail Estimates with Combinatorial Proofs
We study generalisations of a simple, combinatorial proof of a Chernoff bound
similar to the one by Impagliazzo and Kabanets (RANDOM, 2010).
In particular, we prove a randomized version of the hitting property of
expander random walks and apply it to obtain a concentration bound for expander
random walks which is essentially optimal for small deviations and a large
number of steps. At the same time, we present a simpler proof that still yields
a "right" bound settling a question asked by Impagliazzo and Kabanets.
Next, we obtain a simple upper tail bound for polynomials with input
variables in which are not necessarily independent, but obey a certain
condition inspired by Impagliazzo and Kabanets. The resulting bound is used by
Holenstein and Sinha (FOCS, 2012) in the proof of a lower bound for the number
of calls in a black-box construction of a pseudorandom generator from a one-way
function.
We then show that the same technique yields the upper tail bound for the
number of copies of a fixed graph in an Erd\H{o}s-R\'enyi random graph,
matching the one given by Janson, Oleszkiewicz and Ruci\'nski (Israel J. Math,
2002).Comment: Full version of the paper from STACS 201
Generating a Quadratic Forms from a Given Genus
Given a non-empty genus in dimensions with determinant , we give a
randomized algorithm that outputs a quadratic form from this genus. The time
complexity of the algorithm is poly; assuming Generalized Riemann
Hypothesis (GRH).Comment: arXiv admin note: text overlap with arXiv:1409.619
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