Unbalanced disturbance evaluation in power grid using spiked covariance model and phase transition phenomenon

2021 ◽  
Vol 90 ◽  
pp. 106969
Author(s):  
Jun-Yi Mao ◽  
Song Han ◽  
Hong-Qian Li ◽  
Zhong-Qiang Zhou
Author(s):  
Emilio Cruciani ◽  
Emanuele Natale ◽  
André Nusser ◽  
Giacomo Scornavacca

AbstractThe 2-Choices dynamics is a process that models voting behavior on networks and works as follows: Each agent initially holds either opinion blue or red; then, in each round, each agent looks at two random neighbors and, if the two have the same opinion, the agent adopts it. We study its behavior on a class of networks with core–periphery structure. Assume that a densely-connected subset of agents, the core, holds a different opinion from the rest of the network, the periphery. We prove that, depending on the strength of the cut between core and periphery, a phase-transition phenomenon occurs: Either the core’s opinion rapidly spreads across the network, or a metastability phase takes place in which both opinions coexist for superpolynomial time. The interest of our result, which we also validate with extensive experiments on real networks, is twofold. First, it sheds light on the influence of the core on the rest of the network as a function of its connectivity toward the latter. Second, it is one of the first analytical results which shows a heterogeneous behavior of a simple dynamics as a function of structural parameters of the network.


2012 ◽  
Vol 49 (3) ◽  
pp. 731-744
Author(s):  
Wenbo V. Li ◽  
Vladislav V. Vysotsky

Suppose that both you and your friend toss an unfair coin n times, for which the probability of heads is equal to α. What is the probability that you obtain at least d more heads than your friend if you make r additional tosses? We obtain asymptotic and monotonicity/convexity properties for this competing probability as a function of n, and demonstrate surprising phase transition phenomenon as the parameters d, r, and α vary. Our main tools are integral representations based on Fourier analysis.


2001 ◽  
Vol 33 (1) ◽  
pp. 260-280 ◽  
Author(s):  
Michel Mandjes ◽  
Jeong-Han Kim

1984 ◽  
Vol 131 (8) ◽  
pp. 1942-1943 ◽  
Author(s):  
M. Sakaguchi ◽  
M. Ohta ◽  
S. Miyazaki

2015 ◽  
Vol 04 (03) ◽  
pp. 1550013
Author(s):  
C. Fan ◽  
A. Guionnet ◽  
Y. Song ◽  
A. Wang

We consider the convergence of the eigenvalues to the support of the equilibrium measure in the β matrix models at criticality. We show a phase transition phenomenon, namely that, with probability one, all eigenvalues will fall in the support of the limiting spectral measure when β > 1, whereas this fails when β < 1.


1997 ◽  
Vol 14 (4) ◽  
pp. 245-247 ◽  
Author(s):  
Jia Ya ◽  
Li Jia-rong ◽  
Chen Yi-cheng

2015 ◽  
Vol 428 ◽  
pp. 383-395 ◽  
Author(s):  
Bo Soo Kang ◽  
Chanhi Park ◽  
Doojin Ryu ◽  
Wonho Song

2009 ◽  
Vol 416 ◽  
pp. 54-60
Author(s):  
Huan Wu Sun ◽  
Shi Chun Yang

The fluid magnetic abrasives (FMA) are a new type of precision finishing abrasives which are developed on the basis of the phase transition phenomenon caused by magnetic field. The rheological effect of FMA is the basis to achieve its finishing function, and has a great impact on the finishing capabilities and the final surface roughness. In order to get a better understanding of FMA finishing mechanism, the rheological effect models of FMA are deduced for the first time, the simulations and the experimental results are discussed as well in this paper.


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