scholarly journals Pre-reduction Graph Products: Hardnesses of Properly Learning DFAs and Approximating EDP on DAGs

Author(s):  
Parinya Chalermsook ◽  
Bundit Laekhanukit ◽  
Danupon Nanongkai
2021 ◽  
Vol 178 (3) ◽  
pp. 173-185
Author(s):  
Arthur Adinayev ◽  
Itamar Stein

In this paper, we study a certain case of a subgraph isomorphism problem. We consider the Hasse diagram of the lattice Mk (the unique lattice with k + 2 elements and one anti-chain of length k) and find the maximal k for which it is isomorphic to a subgraph of the reduction graph of a given one-rule string rewriting system. We obtain a complete characterization for this problem and show that there is a dichotomy. There are one-rule string rewriting systems for which the maximal such k is 2 and there are cases where there is no maximum. No other intermediate option is possible.


2009 ◽  
Vol 30 (5) ◽  
pp. 1048-1053 ◽  
Author(s):  
Kannan Balakrishnan ◽  
Manoj Changat ◽  
Iztok Peterin ◽  
Simon Špacapan ◽  
Primož Šparl ◽  
...  

2017 ◽  
Vol 54 (1) ◽  
pp. 141-149
Author(s):  
S. Francis Raj ◽  
T. Kavaskar
Keyword(s):  

Networks ◽  
1999 ◽  
Vol 34 (3) ◽  
pp. 192-196 ◽  
Author(s):  
S. A. Choudum ◽  
N. Priya

2014 ◽  
Vol 06 (01) ◽  
pp. 1450001 ◽  
Author(s):  
M. R. CHITHRA ◽  
A. VIJAYAKUMAR

The diameter of a graph can be affected by the addition or deletion of edges. In this paper, we examine the Cartesian product of graphs whose diameter increases (decreases) by the deletion (addition) of a single edge. The problems of minimality and maximality of the Cartesian product of graphs with respect to its diameter are also solved. These problems are motivated by the fact that most of the interconnection networks are graph products and a good network must be hard to disrupt and the transmissions must remain connected even if some vertices or edges fail.


1995 ◽  
Vol 53 (1-2) ◽  
pp. 131-147 ◽  
Author(s):  
Jochen Pfalzgraf

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249624
Author(s):  
C. B. Scott ◽  
Eric Mjolsness

We define a new family of similarity and distance measures on graphs, and explore their theoretical properties in comparison to conventional distance metrics. These measures are defined by the solution(s) to an optimization problem which attempts find a map minimizing the discrepancy between two graph Laplacian exponential matrices, under norm-preserving and sparsity constraints. Variants of the distance metric are introduced to consider such optimized maps under sparsity constraints as well as fixed time-scaling between the two Laplacians. The objective function of this optimization is multimodal and has discontinuous slope, and is hence difficult for univariate optimizers to solve. We demonstrate a novel procedure for efficiently calculating these optima for two of our distance measure variants. We present numerical experiments demonstrating that (a) upper bounds of our distance metrics can be used to distinguish between lineages of related graphs; (b) our procedure is faster at finding the required optima, by as much as a factor of 103; and (c) the upper bounds satisfy the triangle inequality exactly under some assumptions and approximately under others. We also derive an upper bound for the distance between two graph products, in terms of the distance between the two pairs of factors. Additionally, we present several possible applications, including the construction of infinite “graph limits” by means of Cauchy sequences of graphs related to one another by our distance measure.


Sign in / Sign up

Export Citation Format

Share Document