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Critical behavior of a tumor growth model: directed percolation with a mean-field flavor.
Adam LipowskiA.l. FerreiraJacek Wendykiersubject
Time FactorsBiophysicsFOS: Physical sciencesModels BiologicalDiffusionNeoplasmsHumansComputer SimulationScalingCondensed Matter - Statistical MechanicsMathematical physicsMathematicsCell ProliferationProbabilityLattice model (finance)Statistical Mechanics (cond-mat.stat-mech)Condensed matter physicsNeovascularization PathologicRenormalization groupModels TheoreticalDirected percolationDistribution (mathematics)Mean field theoryExponentBlood VesselsCritical exponentMonte Carlo MethodAlgorithmsdescription
We examine the critical behaviour of a lattice model of tumor growth where supplied nutrients are correlated with the distribution of tumor cells. Our results support the previous report (Ferreira et al., Phys. Rev. E 85, 010901 (2012)), which suggested that the critical behaviour of the model differs from the expected Directed Percolation (DP) universality class. Surprisingly, only some of the critical exponents (beta, alpha, nu_perp, and z) take non-DP values while some others (beta', nu_||, and spreading-dynamics exponents Theta, delta, z') remain very close to their DP counterparts. The obtained exponents satisfy the scaling relations beta=alpha*nu_||, beta'=delta*nu_||, and the generalized hyperscaling relation Theta+alpha+delta=d/z, where the dynamical exponent z is, however, used instead of the spreading exponent z'. Both in d=1 and d=2 versions of our model, the exponent beta most likely takes the mean-field value beta=1, and we speculate that it might be due to the roulette-wheel selection, which is used to choose the site to supply a nutrient.
year | journal | country | edition | language |
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2012-06-11 | Physical review. E, Statistical, nonlinear, and soft matter physics |