Using the Action Menu
ueigVc
Function: Returns a matrix in which each column represents an eigenvector of a square matrix.
•Since an eigenvector usually cannot be determined uniquely, it is standardized as
follows to its norm, which is 1:
When V = [x1, x2, ..., xn], 
( x1 2 + x22 + .... + xn2) = 1.
Syntax: eigVc (Mat [ ) ]
Example: To obtain the eigenvector(s) of the matrix [[3, 4] [1, 3]]
Menu Item:
uLU
Function: Returns the LU decomposition of a square matrix.
Syntax: LU (Mat, lVariableMem, uVariableMem [ ) ]
Example: To obtain the LU decomposition of the matrix [[1, 2, 3] [4, 5, 6] [7, 8, 9]]
•The lower matrix is assigned to the first variable L, while the upper matrix is assigned to the second variable U.
Menu Item:
To display the lower matrix
Menu Item: [VAR][CAP][L][EXE]
To display the upper matrix
Menu Item: [VAR][CAP][U][EXE]
20060301