Brownian subordinators and fractional Cauchy problems

By Boris Baeumer, Mark M. Meerschaert, Erkan Nane. 2007

109 citations recorded by the source corpus.

A Brownian time process is a Markov process subordinated to the absolute value of an independent one-dimensional Brownian motion. Its transition densities solve an initial value problem involving the square of the generator of the original Markov process. An apparently unrelated class of processes, emerging as the scaling limits of continuous time random walks, involves subordination to the inverse or hitting time process of a classical stable subordinator. The resulting densities solve fractional Cauchy problems, an extension that involves fractional derivatives in time. In this paper, we will show a close and unexpected connection between these two classes of processes and, consequently, an equivalence between these two families of partial differential equations.

Subfields: Applied Mathematics, Mathematical Physics, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/047e9d60d0b34511ff644298ce7d0bc76008452d

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In Applied Mathematics

  1. Palaniappan Vellaisamy
  2. Erkan Nane
  3. Mark M. Meerschaert
  4. Fubo Li
  5. Chuang Chen
  6. René L. Schilling
  7. Miao Li
  8. Anatoly N. Kochubei

In Mathematical Physics

  1. Mark M. Meerschaert
  2. Palaniappan Vellaisamy
  3. Erkan Nane
  4. René L. Schilling
  5. Marcin Magdziarz
  6. Fubo Li
  7. Chuang Chen
  8. Miao Li

In Modeling and Simulation

  1. Palaniappan Vellaisamy
  2. Mark M. Meerschaert
  3. Erkan Nane
  4. Marcin Magdziarz
  5. René L. Schilling
  6. Fubo Li
  7. Chuang Chen
  8. Miao Li

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