Rank & Nullity: 3x3 Matrix w/ Plane Origin & LD Vectors

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In summary, the conversation discusses the properties of a 3x3 matrix, including its column space and the geometry objects associated with its null space and row space. It also presents a problem to prove that if a matrix is not square, then either its row vectors or column vectors must be linearly dependent. To solve this problem, the conversation suggests considering a 2x3 matrix with row vectors from $\mathbb{R}^2$ and generalizing from there.
  • #1
Swati
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1.(a) Give an example of 3*3 matrix whose column space is a plane through the origin in 3-space
(b) what kind of geometry object is the null space and row space of your matrix

2. Prove that if a matrix A is not square, then either the row vectors or the column vectors of A are linearly dependent.
 
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  • #2
#2 rowrank(A) = columnrank(A) -- seems to follow immediately.
 
  • #3
we have to prove. please explain clearly.
 
  • #4
Swati said:
1.(a) Give an example of 3*3 matrix whose column space is a plane through the origin in 3-space
(b) what kind of geometry object is the null space and row space of your matrix

2. Prove that if a matrix A is not square, then either the row vectors or the column vectors of A are linearly dependent.
I assume that the entries of the matrices are reals.
Q2. Consider a 2x3 matrix. Let its row vectors be (a,b), (c,d),(e,f). So we got 3 vectors from $\mathbb{R}^2$. They have to be linearly dependent since dimension of $\mathbb{R}^2$ is 2. Can you generalize?
 
  • #5
Swati said:
we have to prove. please explain clearly.
More effort on your part is required. What have you tried and what don't you understand.
 

FAQ: Rank & Nullity: 3x3 Matrix w/ Plane Origin & LD Vectors

What is the rank of a 3x3 matrix?

The rank of a 3x3 matrix is the maximum number of linearly independent rows or columns in the matrix.

How is the rank of a 3x3 matrix related to the number of solutions to a system of equations?

The rank of a 3x3 matrix determines the number of solutions to a system of equations. If the rank 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 infinitely many solutions. If the rank is less than the number of variables, then there are no solutions.

What is the nullity of a 3x3 matrix?

The nullity of a 3x3 matrix is the number of linearly independent vectors in the null space, which is the set of all solutions to the homogeneous system of equations Ax=0.

How is the nullity of a 3x3 matrix related to the rank?

The nullity of a 3x3 matrix is equal to the number of columns or rows minus the rank. This is because the rank is equal to the number of linearly independent rows or columns, and the nullity is equal to the number of linearly independent vectors in the null space, which is the number of columns or rows minus the rank.

How do LD vectors and the plane origin affect the rank and nullity of a 3x3 matrix?

The LD vectors and plane origin do not have a direct effect on the rank and nullity of a 3x3 matrix. However, they can provide insights into the structure of the matrix and the relationships between its rows and columns, which can in turn impact the rank and nullity.

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