Basis of Null Space and Column Space

The video tutorial explains how to determine the basis of the column space and null space of a matrix by reducing it to row echelon form. It covers identifying pivot columns to find the basis of the column space and using free variables to determine the basis of the null space. Two examples are provided to illustrate these concepts.

What is the purpose of reducing a matrix to row echelon form?

• To identify pivot columns and solve linear equations

• To simplify the matrix for addition

• To find the determinant of the matrix

• To convert the matrix into a diagonal form

Tags

CCSS.HSN.VM.C.6

How do pivot columns relate to the basis of the column space?

• They indicate the matrix is singular

• They are used to find the inverse of the matrix

• They determine the number of vectors in the basis

• They are irrelevant to the column space

Tags

CCSS.HSN.VM.C.6

What is the next step after identifying pivot columns to find the basis for the column space?

• Transpose the matrix

• Calculate the determinant of the matrix

• Refer back to the original matrix columns

• Use the pivot columns from the row echelon form

What equation is solved to find the basis for the null space?

• A times vector x equals vector a

• A times vector x equals zero vector

• A times vector x equals identity matrix

• A times vector x equals vector b

What indicates the number of vectors in the basis of the null space?

• The number of pivot columns

• The number of columns in the matrix

• The number of free variables

• The number of rows in the matrix

In the second example, how many pivot columns are identified?

• One

• Two

• Three

• Four

What are the basic variables in the second example?

• x sub two and x sub four

• x sub one and x sub three

• x sub one and x sub two

• x sub three and x sub four

Tags

CCSS.7.EE.B.3

How many free variables are there in the second example?

• One

• None

• Two

• Three

Tags

CCSS.7.EE.B.3

What is the total number of vectors in the basis of the null space in the second example?

• One

• Two

• Three

• Four

Why is it important to identify free variables?

• They help in finding the inverse of the matrix

• They determine the number of vectors in the null space basis

• They are used to calculate the determinant

• They indicate the matrix is non-singular