158,438 research outputs found
INDEPENDENCE AND PI POLYNOMIALS FOR FEW STRINGS
If is the number of independent sets of cardinality in a graph , then is the independence polynomial of [ Gutman, I. and Harary, F., Generalizations of the matching polynomial, Utilitas Mathematica 24 (1983) 97-106] , where is the size of a maximum independent set. Also the PI polynomial of a molecular graph is defined as , where is the number of edges parallel to , and summation goes over all edges of . In [T. Doli, A. Loghman and L. Badakhshian, Computing Topological Indices by Pulling a Few Strings, MATCH Commun. Math. Comput. Chem. 67 (2012) 173-190], several topological indices for all graphs consisting of at most three strings are computed. In this paper we compute the PI and independence polynomials for graphs containing one, two and three strings
On the Usefulness of Predicates
Motivated by the pervasiveness of strong inapproximability results for
Max-CSPs, we introduce a relaxed notion of an approximate solution of a
Max-CSP. In this relaxed version, loosely speaking, the algorithm is allowed to
replace the constraints of an instance by some other (possibly real-valued)
constraints, and then only needs to satisfy as many of the new constraints as
possible.
To be more precise, we introduce the following notion of a predicate
being \emph{useful} for a (real-valued) objective : given an almost
satisfiable Max- instance, there is an algorithm that beats a random
assignment on the corresponding Max- instance applied to the same sets of
literals. The standard notion of a nontrivial approximation algorithm for a
Max-CSP with predicate is exactly the same as saying that is useful for
itself.
We say that is useless if it is not useful for any . This turns out to
be equivalent to the following pseudo-randomness property: given an almost
satisfiable instance of Max- it is hard to find an assignment such that the
induced distribution on -bit strings defined by the instance is not
essentially uniform.
Under the Unique Games Conjecture, we give a complete and simple
characterization of useful Max-CSPs defined by a predicate: such a Max-CSP is
useless if and only if there is a pairwise independent distribution supported
on the satisfying assignments of the predicate. It is natural to also consider
the case when no negations are allowed in the CSP instance, and we derive a
similar complete characterization (under the UGC) there as well.
Finally, we also include some results and examples shedding additional light
on the approximability of certain Max-CSPs
Counting dependent and independent strings
The paper gives estimations for the sizes of the the following sets: (1) the
set of strings that have a given dependency with a fixed string, (2) the set of
strings that are pairwise \alpha independent, (3) the set of strings that are
mutually \alpha independent. The relevant definitions are as follows: C(x) is
the Kolmogorov complexity of the string x. A string y has \alpha -dependency
with a string x if C(y) - C(y|x) \geq \alpha. A set of strings {x_1, \ldots,
x_t} is pairwise \alpha-independent if for all i different from j, C(x_i) -
C(x_i | x_j) \leq \alpha. A tuple of strings (x_1, \ldots, x_t) is mutually
\alpha-independent if C(x_{\pi(1)} \ldots x_{\pi(t)}) \geq C(x_1) + \ldots +
C(x_t) - \alpha, for every permutation \pi of [t]
Information-theoretic inference of common ancestors
A directed acyclic graph (DAG) partially represents the conditional
independence structure among observations of a system if the local Markov
condition holds, that is, if every variable is independent of its
non-descendants given its parents. In general, there is a whole class of DAGs
that represents a given set of conditional independence relations. We are
interested in properties of this class that can be derived from observations of
a subsystem only. To this end, we prove an information theoretic inequality
that allows for the inference of common ancestors of observed parts in any DAG
representing some unknown larger system. More explicitly, we show that a large
amount of dependence in terms of mutual information among the observations
implies the existence of a common ancestor that distributes this information.
Within the causal interpretation of DAGs our result can be seen as a
quantitative extension of Reichenbach's Principle of Common Cause to more than
two variables. Our conclusions are valid also for non-probabilistic
observations such as binary strings, since we state the proof for an
axiomatized notion of mutual information that includes the stochastic as well
as the algorithmic version.Comment: 18 pages, 4 figure
Flavor structure and coupling selection rule from intersecting D-branes
We study flavor structure and the coupling selection rule in intersecting
D-brane configurations. We formulate the selection rule for Yukawa couplings
and its extensions to generic n-point couplings. We investigate the possible
flavor structure, which can appear from intersecting D-brane configuration, and
it is found that their couplings are determined by discrete abelian symmetry.
Our studies on the flavor structure and the coupling selection rule show that
the minimal matter content of the supersymmetric standard model would have
difficulty to derive realistic Yukawa matrices from stringy 3-point couplings
at the tree-level. However, extended models have a richer structure, leading to
non-trivial mass matrices.Comment: 28 pages, latex, 5 figure
Computability of simple games: A complete investigation of the sixty-four possibilities
Classify simple games into sixteen "types" in terms of the four conventional
axioms: monotonicity, properness, strongness, and nonweakness. Further classify
them into sixty-four classes in terms of finiteness (existence of a finite
carrier) and algorithmic computability. For each such class, we either show
that it is empty or give an example of a game belonging to it. We observe that
if a type contains an infinite game, then it contains both computable ones and
noncomputable ones. This strongly suggests that computability is logically, as
well as conceptually, unrelated to the conventional axioms.Comment: 25 page
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