Linear algebra, rank and nullity

This means that you have duplicated one of the rows, which is incorrect.In summary, the correct answer is rank 2 and nullity 3.
  • #1
vs55
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0

Homework Statement


Find the rank and nullity of the given matrix:

|-2 2 1 1 -2 |----->(1)
|1 -1 -1 -3 3 |----->(2)
|-1 1 -1 7 5 |----->(3)


The attempt at a solution
i know rank is the number of non-zero rows and nullity is the # of columns minus the rank
matrix:
i took (1)+(2) then (1) x -1 to get:
|1 -1 0 2 -1 |
| 1 -1 -1 -3 3 |
|-1 1 -1 7 5 |

(2)+(3)

|1 -1 0 2 -1 |
|0 0 -2 4 8 |
|-1 1 -1 7 5 |

(3)+(1)
|1 -1 0 2 -1 |
|0 0 -2 4 8 |
|0 0 -1 9 4 |

by this the rank should be 3 right? and the nullity is 5-3 = 2

the correct answer is rank 2 and nullity 3
what am i doing wrong?
 
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  • #2
You have probably made some calculation errors.

For example, in your first step, instead of
|1 -1 0 2 -1 |
| 1 -1 -1 -3 3 |
|-1 1 -1 7 5 |

I get

|1 -1 0 2 -1 |
| 1 -1 0 2 -1|
|-1 1 -1 7 5 |
 
  • #3


Your solution is incorrect because when you added (2) and (3), you did not take into account the negative signs in front of the first and second rows. The correct addition should be:

(2)+(3)
|1 -1 0 2 -1 |
|-1 1 -1 4 8 |
|-1 1 -1 7 5 |

This leads to the same matrix as when you added (1)+(2), and therefore the rank is still 2. However, when you add (3)+(1), you get:

(3)+(1)
|1 -1 0 2 -1 |
|0 0 -2 4 8 |
|0 0 -2 8 4 |

This matrix has a row of zeros, so the rank is now 2. Therefore, the correct answer is rank 2 and nullity 3.
 

Related to Linear algebra, rank and nullity

1. What is linear algebra?

Linear algebra is a branch of mathematics that deals with the study of vectors and linear transformations between vectors, as well as their properties and operations.

2. What is the rank of a matrix?

The rank of a matrix is the maximum number of linearly independent rows or columns in the matrix. It represents the dimension of the vector space spanned by the rows or columns of the matrix.

3. How is rank related to the number of solutions to a system of linear equations?

The rank of a matrix can determine the number of solutions to a system of linear equations. If the rank of the matrix is equal to the number of variables in the system, then there is a unique solution. If the rank is less than the number of variables, then there are infinite solutions.

4. What is the nullity of a matrix?

The nullity of a matrix is the dimension of the null space, which is the set of all solutions to the homogeneous system of linear equations represented by the matrix. It is equal to the number of free variables in the system.

5. How are rank and nullity related?

The rank and nullity of a matrix are related by the rank-nullity theorem, which states that the sum of the rank and nullity is equal to the number of columns in the matrix. In other words, the rank and nullity are complementary and can provide information about the structure of the matrix and its solutions.

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