Critical link of self-similarity and visualisation for jump-diffusions driven by $α$-stable noise
The purpose of this paper is to derive a critical link of parameters for the self-similar trajectories of jump-diffusions which are described as solutions of stochastic differential equations driven by $α$-stable noise. This is done by a multivariate Lagrange interpolation approach. To this end, we utilise computer simulation algorithm in MATLAB to visualise the trajectories of the jump-diffusions for various combinations of parameters arising in the stochastic differential equations.
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