In linear algebra, a completely-S matrix is a square matrix such that for every principal submatrix R there exists a positive vector u such that Ru > 0. [1]
- ^ Chen, Hong (1996). "A sufficient condition for the positive recurrence of a semimartingale reflecting Brownian motion in an orthant". Annals of Applied Probability. 6 (3): 758–765. doi: 10.1214/aoap/1034968226.
 | This article about matrices is a stub. You can help Wikipedia by expanding it. |
In linear algebra, a completely-S matrix is a square matrix such that for every principal submatrix R there exists a positive vector u such that Ru > 0. [1]
- ^ Chen, Hong (1996). "A sufficient condition for the positive recurrence of a semimartingale reflecting Brownian motion in an orthant". Annals of Applied Probability. 6 (3): 758–765. doi: 10.1214/aoap/1034968226.
|
| This article about matrices is a stub. You can help Wikipedia by expanding it. |