Can You Find a Matrix Where Column Space Equals Null Space?

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In summary, for a 4 x 4 matrix to have col A = nul A, it must have a dimension of 2 for both col A and null A. Matrices with this property are called nilpotent.
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iNagib
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Hey fellas could use a hand on a linear question that has been bugging me.

Give an example of a 4 x 4 matrix such that col A = nul A
Appreciate any help!
Thanks,
ib
 
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To start with, remember that dim(col A) + dim(null A) = 4, so we better have dim(col A) = dim(null A) = 2.
 
  • #3
If col A = null A, then given any vector x in R4, Ax ∈ col A = null A, so A2x = 0. Since x is arbitrary, A2 = 0. Conversely, if A2 = 0, you can show that col A ⊆ null A, and you need dim(col A) = 2. This might help a bit in finding such a matrix.

(Matrices A such that Ak = 0 for some integer k are called nilpotent.)
 

FAQ: Can You Find a Matrix Where Column Space Equals Null Space?

What does "nullity" mean in terms of linear algebra?

Nullity refers to the dimension of the null space of a matrix. In other words, it is the number of linearly independent columns or rows that can be combined to form a zero vector.

How is the nullity of a matrix related to its rank?

The nullity of a matrix is equal to the number of columns or rows that are linearly independent and not included in the rank of the matrix. In other words, it is the dimension of the space spanned by the columns or rows that are not in the column space or row space of the matrix.

What is the column space of a matrix?

The column space of a matrix is the span of its column vectors, which represents all possible linear combinations of those vectors. It is also known as the range of the matrix.

How can we determine the column space of a matrix?

To determine the column space of a matrix, we can perform row operations on the matrix and reduce it to its row echelon form. The columns of the resulting matrix that contain pivot positions will form the column space of the original matrix.

What is the relationship between the nullity and the dimension of the column space of a matrix?

The nullity and the dimension of the column space of a matrix are complementary. This means that the sum of the nullity and the rank of a matrix is equal to the number of columns in the matrix. In other words, the nullity and the rank together determine the dimension of the column space.

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