arXiv subjects

T. B. dos Santos

Publications and source records attributed to T. B. dos Santos.

3 recordsLinked to original sources

arXiv2018

The symbiotic contact process: phase transitions, hysteresis cycles, and bistability

We performed Monte Carlo simulations of the symbiotic contact process on different spatial dimensions ($d$). On the complete and random graphs (infinite dimension), we observe hysteresis cycles and bistable regions, what is consistent with the discontinuous absorbing-state phase transition predicted by mean-field theory. By contrast, on a regular square lattice, we find no signs of bistability or hysteretic behavior. This result suggests that the transition in two dimensions is rather continuous. Based on our numerical observations, we conjecture that the nature of the transition changes at the upper critical dimension ($d_c$), from continuous ($d d_c$).

cond-mat.stat-mech↗

arXiv2018

Crossover from mean-field to $2d$ Directed Percolation in the contact process

We study the contact process on spatially embedded networks, consisting of a regular square lattice with long-range connections. To generate the networks, a long-range connection is randomly added to each node $i$ of a square lattice, following the probability, $P_{ij}\sim{r_{ij}^{-α}}$ , where $r_{ij}$ is the Manhattan distance between nodes $i$ and $j$, and the exponent $α$ is a tunable parameter. Extensive Monte Carlo simulations and a finite-size scaling analysis for different values of $α$ reveal a crossover from the mean-field to $2d$ Directed Percolation universality class with increasing $α$, in the range $3<α<4$.

cond-mat.stat-mech↗

arXiv2016

Majority-vote model on spatially embedded networks: crossover from mean-field to Ising universality classes

We study through Monte Carlo simulations and finite-size scaling analysis the nonequilibrium phase transitions of the majority-vote model taking place on spatially embedded networks. These structures are built from an underlying regular lattice over which long-range connections are randomly added according to the probability, $P_{ij}\sim{r^{-α}}$, where $r_{ij}$ is the Manhattan distance between nodes $i$ and $j$, and the exponent $α$ is a controlling parameter [J. M. Kleinberg, Nature 406, 845 (2000)]. Our results show that the collective behavior of this system exhibits a continuous order-disorder phase transition at a critical parameter, which is a decreasing function of the exponent $α$. Precisely, considering the scaling functions and the critical exponents calculated, we conclude that the system undergoes a crossover among distinct universality classes. For $α\le3$ the critical behavior is described by mean-field exponents, while for $α\ge4$ it belongs to the Ising universality class. Finally, in the region where the crossover occurs, $3<α<4$, the critical exponents are dependent on $α$.

cond-mat.stat-mech↗