Index: /issm/trunk-jpl/src/c/shared/Matrix/MatrixUtils.cpp
===================================================================
--- /issm/trunk-jpl/src/c/shared/Matrix/MatrixUtils.cpp	(revision 24753)
+++ /issm/trunk-jpl/src/c/shared/Matrix/MatrixUtils.cpp	(revision 24754)
@@ -391,9 +391,9 @@
 		 *    <Ax,y> = <x,tAy>
 		 * Here, M'(M-lambda*Id) is symmetrical, which gives:
-		 *    ∀(x,y)∈R²xR² <M'x,y> = <M'y,x>
+		 *    \forall (x,y)\in R²xR² <M'x,y> = <M'y,x>
 		 * And we have the following:
-		 *    if y∈Ker(M'), ∀x∈R² <M'x,y> = <x,M'y> = 0
+		 *    if y\in Ker(M'), \forall x\in R² <M'x,y> = <x,M'y> = 0
 		 * We have shown that
-		 *    Im(M') ⊥ Ker(M')
+		 *    Im(M') \perp Ker(M')
 		 *
 		 * To find the eigen vectors of M, we only have to find two vectors