asked 123k views
2 votes
Find the rank and nullity of the matrix; then verify that the values obtained satisfy Formula (4) in the Dimension Theorem. A=⎣⎡​11−34​2−308​3−2−312​83−1832​9−11−336​⎦⎤​rank(A)=nullity(A)=rank(A)+nullity(A)=​

asked
User Memeplex
by
8.0k points

1 Answer

3 votes

Answer:

To find the rank and nullity of A, we need to find the row echelon form of A. After performing Gaussian elimination, we get:

⎡⎣

1 -3/4 0 -1/4

0 1 -10 3

0 0 0 0

0 0 0 0

0 0 0 0

⎤⎦

The non-zero rows of the row echelon form of A correspond to the rows of A that contain the pivots. Therefore, the rank of A is 2.

To find the nullity of A, we need to find all solutions to the equation Ax = 0, where 0 is a vector of zeros and x is a vector of unknowns. We can solve this equation using Gaussian elimination and back-substitution on the row echelon form of A:

x1 = 3/4x4

x2 = 10x4 - 3x3

x3 = free

x4 = free

Thus, the general solution to Ax = 0 is:

x = t1 * ⎡⎣

-3/4

3

0

1

⎤⎦

+ t2 * ⎡⎣

-3/4

0

1

0

⎤⎦

where t1 and t2 are any constants.

Therefore, the nullity of A is 2.

By the Dimension Theorem, we have:

rank(A) + nullity(A) = 2 + 2 = 4 = number of columns of A

This verifies that the values we obtained for the rank and nullity of A satisfy Formula (4) in the Dimension Theorem.

answered
User DoubleE
by
7.3k points