Function lq, Function qr, Matrix quadratic forms – HP 49g+ User Manual

Page 373

Advertising
background image

Page 11-51

1: [[-1.03 1.02 3.86 ][ 0 5.52 8.23 ][ 0 –1.82 5.52]]

Function LQ

The LQ function produces the LQ factorization of a matrix

A

n

×

m

returning a

lower

L

n

×

m

trapezoidal matrix, a

Q

m

×

m

orthogonal matrix, and a

P

n

×

n

permutation matrix, in stack levels 3, 2, and 1. The matrices

A, L, Q and P

are related by

P⋅A = L⋅Q. (A trapezoidal matrix out of an n×m matrix is the

equivalent of a triangular matrix out of an n

×n matrix). For example,

[[ 1, -2, 1][ 2, 1, -2][ 5, -2, 1]] LQ

produces

3: [[-5.48 0 0][-1.10 –2.79 0][-1.83 1.43 0.78]]
2:

[[-0.91 0.37 -0.18] [-0.36 -0.50 0.79] [-0.20 -0.78 -0.59]]

1: [[0 0 1][0 1 0][1 0 0]]

Function QR

In RPN, function QR produces the QR factorization of a matrix

A

n

×

m

returning

a

Q

n

×

n

orthogonal matrix, a

R

n

×

m

upper trapezoidal matrix, and a

P

m

×

m

permutation matrix, in stack levels 3, 2, and 1. The matrices

A, P, Q and R

are related by

A⋅P = Q⋅R. For example,

[[ 1,-2,1][ 2,1,-2][ 5,-2,1]] QR

produces

3: [[-0.18 0.39 0.90][-0.37 –0.88 0.30][-0.91 0.28 –0.30]]
2: [[ -5.48 –0.37 1.83][ 0 2.42 –2.20][0 0 –0.90]]
1: [[1 0 0][0 0 1][0 1 0]]

Note: Examples and definitions for all functions in this menu are available
through the help facility in the calculator. Try these exercises in ALG mode to
see the results in that mode.

Matrix Quadratic Forms

A quadratic form from a square matrix

A is a polynomial expression

originated from

x⋅A⋅x

T

. For example, if we use

A = [[2,1,–1][5,4,2][3,5,–

1]], and

x = [X Y Z]

T

, the corresponding quadratic form is calculated as

Advertising
This manual is related to the following products: