Knowee
Questions
Features
Study Tools

Matrix A has full rank ifa.determinant of A is positiveb.rows of Matrix A are linearly dependentc.determinant of A is negatived.columns of Matrix A are linearly dependent

Question

Matrix A has full rank ifa.determinant of A is positiveb.rows of Matrix A are linearly dependentc.determinant of A is negatived.columns of Matrix A are linearly dependent

🧐 Not the exact question you are looking for?Go ask a question

Solution

Matrix A has full rank if:

a. The determinant of A is not zero. It can be either positive or negative. The determinant being non-zero ensures that the matrix is invertible, which is a necessary condition for the matrix to have full rank.

b. The rows of Matrix A are linearly independent. This means that no row in the matrix can be written as a linear combination of the other rows. If the rows were linearly dependent, then the rank of the matrix would be less than the total number of rows.

c. The determinant of A is not zero. As mentioned in point a, the determinant being non-zero ensures that the matrix is invertible, which is a necessary condition for the matrix to have full rank.

d. The columns of Matrix A are linearly independent. This means that no column in the matrix can be written as a linear combination of the other columns. If the columns were linearly dependent, then the rank of the matrix would be less than the total number of columns.

This problem has been solved

Similar Questions

The determinant rank of an 𝑚×𝑛 matrix A is equal to the ___ of A

The rank of a matrix is always less than or equal to:a.The maximum element in the matrixb.The sum of the elements in the matrixc.The minimum element in the matrixd.The smaller of the number of rows and columns of the matrix

Let A and B be n × p matrix respectively and p × q matrix and defineC = AB. Prove the following statements.(a) If the columns of B are linearly dependent, then the columns of C are linearlydependent.(b) If the rows of A are linearly dependent, then the rows of C are linearly depen-dent.

Use the fact that matrices A and B are row-equivalent.A = −2 −5 8 0 −17 1 3 −5 1 5−5 −9 13 7 −671 7 −13 5 −3B = 1 0 1 0 1 0 1 −2 0 30 0 0 1 −50 0 0 0 0(a) Find the rank and nullity of A.rank nullity

If 0 is an Eigen value of a matrix A, then the set of columns of A isQuestion 5Select one:Linearly independent always.Linearly independent or linearly dependent..Cannot be determined.Linearly dependent always.

1/3

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.