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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.
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HW for Oct 15
−Gauss-Jordan−−−−−−→ C =
C corresponds to the system x 1 = −x 3 − x 4 and x 2 = −x 3 + x 4.
AT^ −Gauss-Jordan−−−−−−→ D =
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
, 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 =
, 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
−Gauss-Jordan−−−−−−→ C =
C corresponds to the system x 1 = 0 and x 2 = 0.
AT^ −Gauss-Jordan−−−−−−→ D =
D corresponds to the system y 1 = (10/7)y 3 and y 2 = (9/7)y 3.