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eigVc
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:
x
x
When V = [
1,
2, ...,
Syntax: eigVc (Mat [ ) ]
Example: To obtain the eigenvector(s) of the matrix [[3, 4] [1, 3]]
Menu Item: [Action][Matrix-Calculation][eigVc]
LU
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: [Action][Matrix-Calculation][LU]
To display the lower matrix
Menu Item: [VAR][CAP][L][EXE]
To display the upper matrix
Menu Item: [VAR][CAP][U][EXE]
2-8-35
Using the Action Menu
xn
x
x
],
(
1
2
+
2
2
+ .... +
20060301
xn
2
) = 1.
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