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Using the Action Menu

SeigVc

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 + ÷ x2÷2 + .... + ÷ xn÷2 ) = 1.

Syntax: eigVc (Mat [ ) ]

Example: To obtain the eigenvector(s) of the matrix [[3, 4] [1, 3]]

Menu Item: [Action][Matrix-Calculation][eigVc]

SLU

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]

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