Section 3.3 The Range
Definition 3.3.1.
Given a linear transformation \(T:\mathbb{L}_1 \longrightarrow \mathbb{L}_2\) the set of points in \(\mathbb{L}_2\) that are the result of \(T\) applied to at least one element of \(\mathbb{L}_1\) is called the range of \(T\) and written:
Checkpoint 3.3.2.
Describe the range of \(T:\mathbb{R}^3 \longrightarrow \mathbb{R}^3\) if T is the linear transformation that
rotates all points around the z-axis by 90\(^\circ\)
projects all points perpendicularly onto the xy-plane
projects all points horizontally onto the z-axis
reflects all points across the xy-plane
moves all points straight out to twice their distance from origin
Checkpoint 3.3.3.
What is the range of \(T:\mathbb{P} \longrightarrow \mathbb{P}\) if \(T\) is the linear transformation defined by \(T(p(x)) = x\cdot p(x)\text{.}\)
Checkpoint 3.3.4.
For \(T:\mathbb{R}^2 \longrightarrow \mathbb{R}^3\) find \(T(\mathbb{R}^2)\) and \(dim(T(\mathbb{R}^2))\) if T is the linear transformation defined by
\(\displaystyle T(x,y) = (0, 0, 0)\)
\(\displaystyle T(x,y) = (0, 0 ,x+y)\)
\(\displaystyle T(x,y) = (x,y,0)\)
\(\displaystyle T(x,y) = (x, y, x+y)\)
Theorem 3.3.5.
For any linear transformation \(T:\mathbb{L}_1 \longrightarrow \mathbb{L}_2\)
the kernel of \(T\text{,}\) \(ker(T)\) is a subspace of \(\mathbb{L}_1\)
the range of \(T\text{,}\) \(T(\mathbb{L}_1)\) is a subspace of \(\mathbb{L}_2\)
Challenge 3.3.6.
Prove for any linear transformation \(T:\mathbb{L}_1 \longrightarrow \mathbb{L}_2\) where \(\mathbb{L}_1\) is a finite dimensional linear space: \(dim(ker(T))+dim(T(\mathbb{L}_1)) = dim(\mathbb{L}_1)\)