Levy-Desplanques theorem
A strictly diagonally dominant matrix is non-singular. In other words, let be a matrix satisfying the property
then .
Proof: Let ; then a non-zero vector exists such that ; let be the index such that , so that ; we have
which implies:
that is
in contrast with strictly diagonally dominance definition.
Remark:
the Levy-Desplanques theorem is equivalent![]()
to the well-known Gerschgorin circle theorem
![]()
. In fact, let’s assume Levy-Desplanques theorem is true, and let a complex-valued matrix, with an eigenvalue
![]()
; let’s apply Levy-Desplanques theorem to the matrix , which is singular
by definition of eigenvalue: an index must exist for which , which is Gerschgorin circle theorem.
On the other hand, let’s assume Gerschgorin circle theorem is true, and let be a strictly diagonally dominant complex matrix. Then, since the absolute value
![]()
of each disc center is strictly greater than the same disc radius , the point can’t belong to any circle, so it doesn’t belong to the spectrum of , which therefore can’t be singular.
| Title | Levy-Desplanques theorem |
|---|---|
| Canonical name | LevyDesplanquesTheorem |
| Date of creation | 2013-03-22 15:34:50 |
| Last modified on | 2013-03-22 15:34:50 |
| Owner | Andrea Ambrosio (7332) |
| Last modified by | Andrea Ambrosio (7332) |
| Numerical id | 9 |
| Author | Andrea Ambrosio (7332) |
| Entry type | Theorem |
| Classification | msc 15-00 |