Undergrad Dimension of a set with vector function

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The discussion centers on determining the dimension of the set T, defined as T = { x ∈ R^(3N) | Ψ(x) = 0 }, where Ψ: R^(3N) → R^p is a function with Ψ(v) = 0 for a vector v in R^(3N). It is established that if Ψ is linear, T corresponds to the kernel of Ψ. The dimension of the kernel is given by the formula dim(ker Ψ) = 3N - p, contingent upon Ψ being surjective. This relationship is derived from the rank-nullity theorem, which connects the dimensions of the kernel and image of linear transformations. The conclusion emphasizes the importance of the function's properties in determining the dimension of the set T.
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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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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Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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