Journal
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Volume 33, Issue 3, Pages 1212-1233Publisher
SIAM PUBLICATIONS
DOI: 10.1137/100785922
Keywords
ordinary differential equation; uncertainty quantification; polynomial chaos; stochastic Jacobian; eigenvalue
Categories
Funding
- DOE [DE-FG02-97ER25308]
- Sandia Corporation, a Lockheed Martin Company [DE-AC04-94-AL85000]
- U.S. Department of Energy (DOE), Office of Advanced Scientific Computing Research (ASCR)
- DOE Office of Basic Energy Sciences (BES) Division of Chemical Sciences, Geosciences, and Biosciences
Ask authors/readers for more resources
Projection onto polynomial chaos (PC) basis functions is often used to reformulate a system of ordinary differential equations (ODEs) with uncertain parameters and initial conditions as a deterministic ODE system that describes the evolution of the PC modes. The deterministic Jacobian of this projected system is different and typically much larger than the random Jacobian of the original ODE system. This paper shows that the location of the eigenvalues of the projected Jacobian is largely determined by the eigenvalues of the original Jacobian, regardless of PC order or choice of orthogonal polynomials. Specifically, the eigenvalues of the projected Jacobian always lie in the convex hull of the numerical range of the Jacobian of the original system.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available