Matrix dimension of a vector in R4

In summary, the subspace W in R4 defined by W={x:V^TX=0}, where V=(1 2 -3 -1)^T and V^T means V Transpose, has a dimension of 3. This can be determined by solving for the variables a,b,c,d in the equation a+2b-3c-d=0 and expressing them in terms of b, c, and d.
  • #1
Nicksto
2
0

Homework Statement


Let W be the subspace of R4 defined by W={x:V^TX=0}. Calculate dim(w) where
V=(1 2 -3 -1)^T
note: V^T means V Transpose, sorry I don't know how to do transpose sign in here.


Homework Equations





The Attempt at a Solution


I tries to do it (1 2 -3 -1)(x1 x2 x3 x4)^T=0
x1+2(x2)-3(x3)-x4=0
So does it means dim(w)=1 ?
 
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  • #2
Nicksto said:

Homework Statement


Let W be the subspace of R4 defined by W={x:V^TX=0}. Calculate dim(w) where
V=(1 2 -3 -1)^T
note: V^T means V Transpose, sorry I don't know how to do transpose sign in here.


Homework Equations





The Attempt at a Solution


I tries to do it (1 2 -3 -1)(x1 x2 x3 x4)^T=0
x1+2(x2)-3(x3)-x4=0
So does it means dim(w)=1 ?

No. I will use a,b,c,d instead of the subscripted x's to save typing. You have ##a+2b-3c-d=0##. Solving for ##a## gives ##a=-2b+3c+d##. So$$
\left(\begin{array}{c} a \\ b \\ c \\d \end{array}\right) =
\left(\begin{array}{c} -2b+3c+d \\ b \\ c \\d \end{array}\right) =
b\left(\begin{array}{c} -2 \\ 1 \\ 0 \\0 \end{array}\right) +
c\left(\begin{array}{c} 3 \\ 0 \\ 1 \\0 \end{array}\right) +
d\left(\begin{array}{c} 1 \\ 0 \\ 0 \\1 \end{array}\right)

$$
Does that give you a hint about the dimension?
 
Last edited:
  • #3
It's 3 right? thanks man
 

Related to Matrix dimension of a vector in R4

1. What is the matrix dimension of a vector in R4?

The matrix dimension of a vector in R4 is 4x1. This means that the vector has 4 rows and 1 column.

2. How is the matrix dimension of a vector in R4 determined?

The matrix dimension of a vector in R4 is determined by the number of elements in the vector. Since a vector in R4 has 4 components, it is represented as a 4x1 matrix.

3. Can a vector in R4 have a different matrix dimension?

No, a vector in R4 will always have a matrix dimension of 4x1. This is because R4 is a 4-dimensional vector space, meaning that all vectors in this space have 4 components.

4. Why is the matrix dimension of a vector in R4 important?

The matrix dimension of a vector in R4 is important because it determines the size and shape of the matrix that represents the vector. This is crucial for performing mathematical operations on vectors and for representing them in a geometric space.

5. What is the difference between a vector in R4 and a 4x1 matrix?

A vector in R4 and a 4x1 matrix are essentially the same thing. Both represent a vector with 4 components. The only difference is in how they are written and how they are interpreted in different contexts. In linear algebra, a vector in R4 is typically represented as a column vector, while in other contexts, it may be represented as a row vector.

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