Null space of dual map of T = annihilator of range T

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In summary, the null space of the dual map of a linear transformation \( T \) is equivalent to the annihilator of the range of \( T \). This relationship highlights how the properties of the transformation and its dual interact, revealing that vectors in the null space correspond to those that annihilate (or yield zero when applied to) all elements in the range of \( T \).
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Homework Statement
Theorem 3.107 (Linear Algebra Done Right)

Suppose ##V## and ##W## are finite-dimensional and ##T\in L(V,W)##. Then

(a) null T' = (range ##T)^0##
Relevant Equations
I would like to understand item (a) in an intuitive, descriptive way.

There are multiple concepts involved and all are quite abstract. I would like to go over them in my own words before speaking of the theorem in question.

In what follows I do so and end with my understanding of the presented theorem.
Consider the concepts of dual space, dual basis, dual map, and annihilator.

Given a linear map ##T\in L(V,W)##, the dual space of ##T## is the vector space ##V'=L(V,\mathbb{F})## where ##\mathbb{F}## is a field.

Note that given any basis ##v_1, ..., v_n## of ##V##, each distinct linear functional in ##V'## maps the basis vectors ##v_i## in a unique way to scalars in ##\mathbb{F}##.

Consider the ##n## linear functionals defined as

$$\phi_j(v_i)=\begin{cases} 1, \text{ if } i=j \\ 0 \text{ otherwise } \end{cases}$$

for ##j=1,...,n##.

It isn't difficult to see that each linear functional in ##V'## is a linear combination of these ##n## ##\phi_j## linear functionals.

In addition, it can be shown that the ##\phi_j##'s are linearly independent and so are a basis for ##V'##.

We call them the dual basis of ##v_1, ..., v_n## and they are a basis of ##V'##.

Next let's consider what a dual map is. I find this concept to be the most difficult to grasp so far in linear algebra.

Given a linear map ##T\in L(V,W)##, the dual map of ##T## is a specific linear map in ##L(W',V')##, namely ##T'\in L(W',V')## defined by

$$T'(\phi)=\phi\circ T, \text{ for } \phi \in W'\tag{1}$$

Let me try to understand this.

The vectors in the vector space ##L(W', V')## are linear maps that map a linear functional in ##L(W,\mathbb{F})## to a linear functional in ##L(V,\mathbb{F})##.

One specific of these linear maps in ##L(W',V')## is the dual map of ##T\in L(V,W)##.

It is the linear map that maps a ##\phi\in L(W,\mathbb{F})## to ##\phi\circ T##.

##\phi\circ T## is a linear map that maps ##V## to ##W## and then ##W## to ##\mathbb{F}## and thus is in ##V'##.

Next, consider the concept of annihilator.

Given a vector space ##V## and a subset ##U\subset V##, the annihilator of ##U## is the set of all vectors in ##V'## (ie, linear functionals in ##L(V,\mathbb{F})##) that map ##U## (ie every vector in ##U##) to 0.

The annihilator of ##U## is denoted ##U^0## and is a subspace of ##V'##.

Now we get to an extra layer of abstraction.

Consider the null space of the dual map ##T'##.

Since ##T'\in L(W',V')## then its null space is a subspace of ##W'##.

There is a theorem that says that this null space is the same as the annihilator of the range of ##T##.

##T\in L(V,W)## so the range of ##T## is a subspace of ##W##.

The annihilator of range ##T## is then a subspace of ##W'## (the linear functionals in ##W'## that map range ##T## to 0).

The claim in bold above is that the linear functionals mapped by ##T'## to 0 (that is, the linear functionals ##\phi## such that ##\phi\circ T=0##) are the exact same linear functionals that annihilate the range of ##T##.

Now that I wrote it and thought about it more it finally made clicked and made sense:

Since the dual map is formed by functionals that take a ##v\in V## pass it through ##T## to get a ##w\in \text{range} T## and then pass that through a functional ##\phi## in ##W'##, this can only be zero always if the functional ##\phi## is in the annihilator subspace. Thus, any such ##\phi## in the null space of ##T'## is in the annihilator of range ##T##.
 
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You may want to break this into chunks. Given your vector spaces are finite -dimensional, you can represent a linear map , once you've chosen a basis, as a matrix M. Then the dual map is given by its transpose ##M^{T}##. Find the kernel and see if the result is independent of the choice of basis.
 

FAQ: Null space of dual map of T = annihilator of range T

What is the null space of a linear map?

The null space of a linear map \( T: V \to W \) is the set of all vectors in \( V \) that are mapped to the zero vector in \( W \). Formally, it is defined as \( \text{null}(T) = \{ v \in V \mid T(v) = 0 \} \).

What is the dual map of a linear transformation?

The dual map \( T^*: W^* \to V^* \) of a linear transformation \( T: V \to W \) is defined by \( T^*(\phi) = \phi \circ T \) for every linear functional \( \phi \in W^* \). Here, \( W^* \) and \( V^* \) are the dual spaces of \( W \) and \( V \), respectively.

What is the annihilator of a subspace?

The annihilator of a subspace \( U \subseteq V \) is the set of all linear functionals in \( V^* \) that map every vector in \( U \) to zero. It is denoted as \( U^\perp \) and defined as \( U^\perp = \{ \phi \in V^* \mid \phi(u) = 0 \text{ for all } u \in U \} \).

How are the null space of the dual map and the annihilator of the range related?

The null space of the dual map \( T^* \) of a linear transformation \( T \) is the annihilator of the range of \( T \). This means \( \text{null}(T^*) = (\text{range}(T))^\perp \). This relationship arises because a functional in \( W^* \) is in the null space of \( T^* \) if and only if it annihilates every vector in the range of \( T \).

Can you provide an example illustrating this relationship?

Consider a linear map \( T: \mathbb{R}^3 \to \mathbb{R}^2 \) defined by \( T(x, y, z) = (x + y, y + z) \). The range of \( T \) is spanned by the vectors \( (1, 1) \) and \( (0, 1) \) in \( \mathbb{R}^2 \). The annihilator of this range in \( (\mathbb{R}^2)^* \) consists of all functionals that map both \( (1, 1) \) and \( (0, 1)

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