Elliptic Self-Similar Stochastic Processes

• Autores: Albert Benassi, Daniel Roux
• Localización: Revista matemática iberoamericana, ISSN 0213-2230, Vol. 19, Nº 3, 2003, págs. 767-796
• Idioma: inglés
• DOI: 10.4171/rmi/369
• Títulos paralelos:
  • Procesos estocásticos autosimilares elípticos
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• Resumen

  • Let M be a random measure and L be an elliptic pseudo-differential operator on Rd. We study the solution of the stochastic problem LX = M, X(O) = O when some homogeneity and integrability conditions are assumed. If M is a Gaussian measure the process X belongs to the class of Elliptic Gaussian Processes which has already been studied. Here the law of M is not necessarily Gaussian. We characterize the solutions X which are self-similar and with stationary increments in terms of the driving mcasure M. Then we use appropriate wavelet bases to expand these solutions and we give regularity results. In the last section it is shown how a percolation forest can help with constructing a self-similar Elliptic Process with non stable law.