Abstract
We consider a square distance matrix which arises from a preconditioned Jacobian matrix for the numerical computation of the Cahn–Hilliard problem. We prove strict negativity of all but one associated eigenvalues. This solves a conjecture in Christieb et al. (J Comput Phys 257:193–215, 2014).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1029-1035 |
| Number of pages | 7 |
| Journal | Journal of Statistical Physics |
| Volume | 166 |
| Issue number | 3-4 |
| DOIs | |
| State | Published - Feb 1 2017 |
All Science Journal Classification (ASJC) codes
- Statistical and Nonlinear Physics
- Mathematical Physics
- Condensed Matter Physics
- Applied Mathematics
Keywords
- Distance matrix
- Eigenvalue
- Solvability
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