The productivity of a magnitude m event can be characterized in term of triggered events of magnitude above m-d: it is the number of direct descendants v(d) and the number of all descendants V(d). There is evidence in favour of the discrete exponential distribution for both v(d) and V(d) with a dominant initial magnitude m (the case of aftershock cluster). We consider the general Epidemic Type Aftershock Sequence model adapted to any distribution of v(d). Our first result shows that models with branching aftershock structure do not allow for the coincidence of distribution types of v(d) and V(d) (say, the discrete exponential, as in the scientific literature). The second problem is related to the tail behaviour of the V(d) distribution. We show the fundamental difference in tail behaviour of the V(d)-distributions for general-type clusters and clusters with a dominant initial magnitude: the tail is heavy in the former case and light in the latter. The real data demonstrate the possibilities of this kind. This result provides theoretical and practical constraints for distributional analysis of V(d).

Productivity within the epidemic-type seismicity model

E Varini;
2022

Abstract

The productivity of a magnitude m event can be characterized in term of triggered events of magnitude above m-d: it is the number of direct descendants v(d) and the number of all descendants V(d). There is evidence in favour of the discrete exponential distribution for both v(d) and V(d) with a dominant initial magnitude m (the case of aftershock cluster). We consider the general Epidemic Type Aftershock Sequence model adapted to any distribution of v(d). Our first result shows that models with branching aftershock structure do not allow for the coincidence of distribution types of v(d) and V(d) (say, the discrete exponential, as in the scientific literature). The second problem is related to the tail behaviour of the V(d) distribution. We show the fundamental difference in tail behaviour of the V(d)-distributions for general-type clusters and clusters with a dominant initial magnitude: the tail is heavy in the former case and light in the latter. The real data demonstrate the possibilities of this kind. This result provides theoretical and practical constraints for distributional analysis of V(d).
2022
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI - Sede Secondaria Milano
Probability distributions
Earthquake interaction, Forecasting and prediction
Statistical Seismology
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/447918
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