Peter H.C. Pang
Address:
Department of Mathematics
University of Oslo
Postboks 1053
NO-0316 Olso
Norway
Email:
ptr@math.uio.no
I am currently a postdoctoral researcher at the University of Oslo. My position is funded by the Research Council of Norway project INICE (301538). The project manager is Professor Ulrik Skre Fjordholm.
I was previously a postdoctoral fellow at NTNU in Trondheim.
Research interests: stochastic partial differential equations, probability theory, optimal matching, dynamical systems.
Institutional webpage:
https://www.mn.uio.no/math/english/people/aca/ptr/index.html
Preprints and papers:
K.H. Karlsen and P.H.C. Pang. Convergence of stochastic integrals with applications to transport equations and conservation laws with noise. arXiv:2404.16157 [math.PR], (2024), 1--31. Submitted.
U.S. Fjordholm, K.H. Karlsen, and P.H.C. Pang. Convergent finite difference schemes for stochastic transport equations. arXiv:2309.02208v2[math.NA], (2023), 1 -- 42. Submitted.
L. Galimberti, H. Holden, K.H. Karlsen, and P.H.C. Pang. Global existence of dissipative solutions to the Camassa--Holm equation with transport noise. J. Differential Equations, 387 (2024), 1 -- 103.
H. Holden, K.H. Karlsen, and P.H.C. Pang. Global well-posednes of the viscous stochastic Camassa--Holm equation with gradient noise. Discrete Contin. Dyn. Syst., 43(2) (2023), 568 -- 618.
H. Holden, K.H. Karlsen, and P.H.C. Pang. Strong solutions of a stochsatic differential equation with irregular random drift. Stochastic Process. Appl., 150 (2022), 655 -- 677.
H. Holden, K.H. Karlsen, and P.H.C. Pang. The Hunter--Saxton equation with noise. J. Differential Equations, 270 (2021), 725 -- 786.
G.-Q. G. Chen, and P.H.C. Pang. Invariant measures for nonlinear conservation laws driven by stochastic forcing. Chinese Ann. Math. B, 40(6) (2019), 967 -- 1004.
G.-Q. G. Chen, and P.H.C. Pang. Nonlinear anisotropic degenerate parabolic-hyperbolic equations with stochastic forcing. J. Funct. Anal., 281 (2021), 109222.
Notes:
The stochastic compactness method in SPDEs, mini-course delivered at the Mittag-Leffler institute, 20th--24th November, 2023. (updated: 25th April, 2024.)