Branching stable processes and motion by mean curvature flow

Article Properties
  • DOI (url)
  • Publication Date
    2024/01/01
  • Indian UGC (journal)
  • Refrences
    60
  • Kimberly Becker University of Oxford, United Kingdom
  • Alison Etheridge University of Oxford, United Kingdom
  • Ian Letter University of Oxford, United Kingdom
Cite
Becker, Kimberly, et al. “Branching Stable Processes and Motion by Mean Curvature Flow”. Electronic Journal of Probability, vol. 29, no. none, 2024, https://doi.org/10.1214/24-ejp1087.
Becker, K., Etheridge, A., & Letter, I. (2024). Branching stable processes and motion by mean curvature flow. Electronic Journal of Probability, 29(none). https://doi.org/10.1214/24-ejp1087
Becker, Kimberly, Alison Etheridge, and Ian Letter. “Branching Stable Processes and Motion by Mean Curvature Flow”. Electronic Journal of Probability 29, no. none (2024). https://doi.org/10.1214/24-ejp1087.
Becker K, Etheridge A, Letter I. Branching stable processes and motion by mean curvature flow. Electronic Journal of Probability. 2024;29(none).
Refrences
Title Journal Journal Categories Citations Publication Date
10.1016/S0304-4149(03)00105-4
Metastability and Stability of Patterns in a Convolution Model for Phase Transitions Journal of Differential Equations
  • Science: Mathematics
47 2002
Motion by mean curvature in interacting particle systems Probability Theory and Related Fields
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
1 2021
10.1016/0022-0396(92)90146-E
Nonlinear equations for fractional Laplacians, I: Regularity, maximum principles, and Hamiltonian estimates Annales de l'Institut Henri Poincaré C, Analyse non linéaire
  • Science: Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
321 2014