Dimension of a set with vector function

In summary, given a vector ##\textbf{v} \in \mathbb{R}^{3N}## and a linear function ##\textbf{Ψ} : \mathbb{R}^{3N} \longrightarrow \mathbb{R}^p## with ##\textbf{Ψ}(\textbf{v})=0##, the set ##T=\{ \textbf{x} \in \mathbb{R}^{3N} \ | \ \textbf{Ψ}(\textbf{x})=0 \}## has dimension ##n=3N-p## if and only if ##\textbf{Ψ}## is surjective.
  • #1
fcoulomb
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I have a vector ##\textbf{v} \in \mathbb{R}^{3N}## and a function ##\textbf{Ψ} : \mathbb{R}^{3N} \longrightarrow \mathbb{R}^p##
such that ##\textbf{Ψ}(\textbf{v})=0##.

Why the set ##T=\{ \textbf{x} \in \mathbb{R}^{3N} \ | \ \textbf{Ψ}(\textbf{x})=0 \}## has dimension ##n=3N-p##?
 
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  • #2
fcoulomb said:
I have a vector ##\textbf{v} \in \mathbb{R}^{3N}## and a function ##\textbf{Ψ} : \mathbb{R}^{3N} \longrightarrow \mathbb{R}^p##
such that ##\textbf{Ψ}(\textbf{v})=0##.

Why the set ##T=\{ \textbf{x} \in \mathbb{R}^{3N} \ | \ \textbf{Ψ}(\textbf{x})=0 \}## has dimension ##n=3N-p##?

There are surely details missing. Assuming that your function ##\Psi## is linear, we have that ##T = ker \Psi## and ##\dim( ker \Psi) = 3N - p## if and only if ##\Psi## is surjective where we used the rank-nullity theorem (also known as second dimension theorem).
 
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1. What is the definition of dimension in a set with vector function?

Dimension in a set with vector function refers to the minimum number of independent vectors needed to span the entire set. It represents the number of parameters or degrees of freedom required to uniquely describe every point in the set.

2. How is the dimension of a set with vector function determined?

The dimension of a set with vector function can be determined by finding the maximum number of linearly independent vectors within the set. This can be done by performing a row reduction on the matrix containing the vectors and counting the number of non-zero rows.

3. Can the dimension of a set with vector function be greater than the number of vectors in the set?

Yes, it is possible for the dimension of a set with vector function to be greater than the number of vectors in the set. This can happen when the vectors are not linearly independent, meaning they can be expressed as a combination of other vectors in the set.

4. How does the dimension of a set with vector function relate to its span?

The dimension of a set with vector function is equal to the number of vectors needed to span the set. This means that if a set has a dimension of n, then n linearly independent vectors can be used to span the entire set.

5. Can the dimension of a set with vector function change?

Yes, the dimension of a set with vector function can change depending on the vectors that are added or removed from the set. Adding linearly independent vectors can increase the dimension, while adding linearly dependent vectors or removing vectors can decrease the dimension.

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