Gauss-Jordan Elimination: Solving Linear Equations and Finding Null Space Bases, Assignments of Linear Algebra

A detailed solution to a system of linear equations using gauss-jordan elimination. How to find the reduced row echelon form (rref) of the augmented matrix, identify the rank and dimensions of the matrix, and determine if the columns or rows are linearly dependent. Additionally, it shows how to find bases for the null spaces of the matrix and its transpose. The document also includes the transition matrices for the change of basis between different bases.

Typology: Assignments

Pre 2010

Uploaded on 07/29/2009

koofers-user-wfx
koofers-user-wfx 🇺🇸

10 documents

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
1
HW for Oct 15
1.
A=
2 3 5 1
3 1 4 2
347 1
Gauss-Jordan
C=
1 0 1 1
0111
0 0 0 0
RREF
Ccorresponds to the system x1=x3x4and x2=x3+x4.
ATGauss-Jordan
D=
1 0 9/7
0 1 1/7
0 0 0
0 0 0
RREF
Dcorresponds to the system y1= (9/7)y3and y2= (1/7)y3.
m= # rows of A= 3.
n= # columns of A= 4.
r= rank(A) = # non-zero rows of C= # non-zero rows of D= 2.
dim span(A) = dim rowspan(A) = r= 2.
dim N(A) = nr= 4 2 = 2.
dim N(AT) = mr= 3 2 = 1.
v1, v2, v3, v4R3are the columns of Aand u1, u2, u3R1×4are the rows of A.
2 = r < n = 4 =the columns of Aare linearly dependent and the rows of Aare
non-spanning of R1×4.
2 = r < m = 3 =the rows of Aare linearly dependent and the columns are
non-spanning of R3.
Let
B1=
2 3
3 1
34
, B0
1=
1 0
0 1
9/71/7
,and B2=
11
1 1
1 0
0 1
.
pf3

Partial preview of the text

Download Gauss-Jordan Elimination: Solving Linear Equations and Finding Null Space Bases and more Assignments Linear Algebra in PDF only on Docsity!

HW for Oct 15

A =

 −Gauss-Jordan−−−−−−→ C =

RREF

C corresponds to the system x 1 = −x 3 − x 4 and x 2 = −x 3 + x 4.

AT^ −Gauss-Jordan−−−−−−→ D =

RREF

D corresponds to the system y 1 = (9/7)y 3 and y 2 = (1/7)y 3. m = # rows of A = 3. n = # columns of A = 4. r = rank(A) = # non-zero rows of C = # non-zero rows of D = 2. dim span(A) = dim rowspan(A) = r = 2. dim N (A) = n − r = 4 − 2 = 2. dim N (AT^ ) = m − r = 3 − 2 = 1. v 1 , v 2 , v 3 , v 4 ∈ R^3 are the columns of A and u 1 , u 2 , u 3 ∈ R^1 ×^4 are the rows of A. 2 = r < n = 4 =⇒ the columns of A are linearly dependent and the rows of A are non-spanning of R^1 ×^4. 2 = r < m = 3 =⇒ the rows of A are linearly dependent and the columns are non-spanning of R^3. Let

B 1 =

 , B′

 , and B 2 =

Then the columns of B 1 form a basis of span(A). Same for B 1 ′. The columns of B 2 form a basis for N (A). Also we have that

(−1)v 1 + (−1)v 2 + 1v 3 = ¯ 0 and [− 1 , − 1 , 1 , 0] 6 ∈ rowspan(A).

Let

B 3 =

[

]

, B 3 ′ =

[

]

, and B 4 =

Then the rows of B 3 form a basis of rowspan(A). Same for B 3 ′. The columns of B 4 form a basis for N (AT^ ). Also we have that

(9/7)u 1 + (1/7)u 2 + 1u 3 = ¯ 0 and [9/ 7 , 1 / 7 , 1]T^6 ∈ span(A).

Let T ∈ R^2 ×^2 be the transition matrix for the change of basis from [v 1 , v 2 ] (the columns of B 1 ) to [w 1 , w 2 ] (the columns of B 1 ′) of span(A). The first column of T is the solution to the system B′ 1 x = v 1 and the second to B 1 ′x = v 2. Hence

T =

[

]

A =

 −Gauss-Jordan−−−−−−→ C =

RREF

C corresponds to the system x 1 = 0 and x 2 = 0.

AT^ −Gauss-Jordan−−−−−−→ D =

[

]

RREF

D corresponds to the system y 1 = (10/7)y 3 and y 2 = (9/7)y 3.