Tricky Problem: Prove range T = null ##\phi## when null T' has dim 1

In summary, the problem involves proving that the range of a linear transformation \( T \) is equal to the null space of another transformation \( \phi \) when the null space of the adjoint transformation \( T' \) has a dimension of 1. This scenario suggests a relationship between the dimensions of the range and null spaces, emphasizing the interplay between the transformations and their adjoints in linear algebra.
  • #1
zenterix
702
84
Homework Statement
Suppose ##V## and ##W## are finite-dimensional, ##T\in L(V,W)##, and there exists ##\phi\in W'## such that null ##T'## = span(##\phi##). Prove that range ##T## = null ##\phi##.
Relevant Equations
null ##T'## = span(##\phi##)
This is problem 28 from chapter 3F "Duality" of Axler's Linear Algebra Done Right, third edition.

I spent quite a long time on this problem, like a few hours. Since there is no available solution, I am wondering if my solution is correct.

One assumption in this problem is that ##\text{null}(T')=\text{span}(\phi)## where ##\phi\in W'##

We know from a previous theorem that

$$\text{null}(T')=(\text{range}(T))^0\tag{2}$$

The reason for this is as follows

##\text{null}(T')## is formed by ##\phi\in W'## such that

$$\phi(\text{range}(T))=0\tag{3}$$.

Thus, $$\text{null}(T')=\{\phi\in W':\phi v=0\ \forall v\in\ \text{range}\ T\}=(\text{range}(T))^0\tag{4}$$

Moving on, since a single non-zero vector is linearly independent (l.i.) then ##\phi## is a basis for ##\text{null}(T')##. All other ##\alpha\in\ \text{null}(T')## are a multiple of ##\phi##.

Note that for each such ##\alpha\in\ \text{null}(T')##, (4) tells us that every element in ##\text{range}\ T## is in ##\text{null}\ \phi##. That is, $$\text{range}(T) \subseteq\ \text{null} (\phi)\tag{5}$$

Claim: all ##\alpha\in\ \text{null}(T')## have the same nullspace.

Proof

By assumption, ##\text{null}(T')=\ \text{span}(\phi)##.

Then, ##\forall\ \alpha\in\ \text{null}\ T'\implies \alpha=\lambda\phi,\ \lambda\in\mathbb{F}##.

Let ##w\in\ \text{null}(\alpha)##. Then

$$\alpha (w) = (\lambda\phi)(w) = 0\implies \phi(w)=0\tag{6}$$

$$w\in\ \text{null}(\phi)\tag{7}$$

Now, suppose that ##w\in \text{null}(\phi)##. Then

$$\phi(w)=0 \implies \alpha(w) = (\lambda \phi)(w) = 0$$

$$w\in\ \text{null}(\alpha)\tag{8}$$

Therefore, we can infer that ##\text{null}(\alpha)=\text{null}(\phi)##, and since this is true for a generic ##\alpha\in\ \text{null}(T')## then it is true for them all.

Suppose, for proof by contradiction, that ##\text{range}(T) \neq\ \text{null}(\phi)##. That is, there is some ##w\in\ \text{null}(\phi)## that is not in range##(T)##.

Then, ##\phi(w)=0##, which means that not only does ##\phi## annihilate range##(T)##, it also annihilates the subspace span##(w)##.

Now, as we proved above, all ##\alpha\in\ \text{null}(T')## have the same nullspace and thus

$$\forall\ \alpha\in\ \text{null}(T) \implies\ \alpha w=0\tag{9}$$

Consider a ##\beta\in W'## such that ##\forall\ x\in\ W## we have

$$\beta x = \begin{cases} \phi x,\ \text{if}\ x\in\ \text{range}(T) \\ 1,\ \text{if}\ x\in\ W \backslash\text{range}(T) \end{cases}\tag{10}$$

Then, ##\beta\in\ (\text{range}(T))^0=\text{null}(T')##.

But ##w\notin\ \text{null}(\beta)##, which contradicts the fact that all linear functionals in ##\text{null}(T')## have the same nullspace which includes ##w## since by assumption ##\phi (w)=0##.

Thus, but proof by contradiction, we infer that $$\text{range}\ T =\ \text{null}\phi$$.
 
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  • #2
I don't have Axler on hand, but I assume
[tex]
T' : W' \to V',\quad (T'w^*)v := w^* (Tv),\quad w^*\in W', v\in V.
[/tex]

(6) You use that ##\alpha (\phi w) =0## for ALL ##\alpha##, therefore ##\phi w = 0##. Otherwise, proof of Claim is correct.

You defined ##\beta## in (10), but is it well defined? It's not obvious to me. For instance, if ##x+y\in T(V)##, then ##\beta (x+y) = \phi (x+y) = \phi x + \phi y## ..but then what?
 
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  • #3
Your proposed [itex]\beta[/itex] is not linear (what is [itex]\beta(2x)[/itex] if [itex]\newcommand{\range}{\operatorname{range}}x \notin \range T[/itex]?) and is therefore not in [itex]W'[/itex].

I think perhaps you meant to construct [itex]\beta[/itex] through its action on a basis [itex]B[/itex] of [itex]W[/itex], obtained by extending a basis of [itex]\range T[/itex] and such that [itex]w \in B[/itex]. But really it's only necessary to specify [itex]\beta(\range T) = \{0\}[/itex] and [itex]\beta(w) = 1[/itex].
 
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  • #4
You already know that ##\mathrm{span}\phi=\mathrm{Ker}T' = T(V)^0 = \{w^*\in W' \mid w^*\vert_{T(V)}=0\} ##. By assumption all such ##w^*## are multiples of ##\phi##. So you are to conclude that if ##\lambda \phi \vert_{T(V)} = 0## for all ##\lambda\in\mathbb K##, then ##\mathrm{Ker}\phi = T(V)##.
 
  • #5
pasmith said:
Your proposed [itex]\beta[/itex] is not linear (what is [itex]\beta(2x)[/itex] if [itex]\newcommand{\range}{\operatorname{range}}x \notin \range T[/itex]?) and is therefore not in [itex]W'[/itex].

I think perhaps you meant to construct [itex]\beta[/itex] through its action on a basis [itex]B[/itex] of [itex]W[/itex], obtained by extending a basis of [itex]\range T[/itex] and such that [itex]w \in B[/itex]. But really it's only necessary to specify [itex]\beta(\range T) = \{0\}[/itex] and [itex]\beta(w) = 1[/itex].
Indeed. How about if I define it as follows

Let ##w_1,...,w_n## be a basis of range ##T##.

Extend this to a basis of ##W##: ##w_1,...,w_n,w_{n+1},...,w_m##.

Consider ##\beta\in W'## defined by

$$\beta(w_i)=\phi(w_i)=0,\ \text{for}\ i=1,...,n$$

$$\beta(w_i)=1,\ \text{for}\ i=n+1,...,m$$

I think the rest of the proof still holds. That is

1) ##\beta## still annihilates range ##T##, thus ##\beta\in (\text{range})^0=\text{null}(T')##.

2) This is a contradiction since ##\beta## does not map ##w## to zero but instead maps it to some non-zero number.
 
  • #6
nuuskur said:
I don't have Axler on hand, but I assume
[tex]
T' : W' \to V',\quad (T'w^*)v := w^* (Tv),\quad w^*\in W', v\in V.
[/tex]

(6) You use that ##\alpha (\phi w) =0## for ALL ##\alpha##, therefore ##\phi w = 0##. Otherwise, proof of Claim is correct.

You defined ##\beta## in (10), but is it well defined? It's not obvious to me. For instance, if ##x+y\in T(V)##, then ##\beta (x+y) = \phi (x+y) = \phi x + \phi y## ..but then what?
Let me try that portion of the proof again:

By assumption, ##\text{null}(T')=\text{span}(\phi)##.

Every ##\alpha\in\ \text{null}(T')## is thus a scalar multiple of ##\phi##.

Let ##\alpha\in\ \text{null}(T')##.

Then, ##\alpha=\lambda\phi## for some ##\lambda\in\mathbb{F}##.

Let ##w\in\ \text{null}(\alpha)##.

Then, since ##\alpha(w)=0## we have that ##(\lambda\phi)(w)=0## and by linearity of ##\phi## we have ##\lambda\phi(w)=0## so ##\phi(w)=0##.

Thus, ##w\in\ \text{null}(\phi)##.

As for the definition of ##\beta##, it is indeed incorrect. See the post just above this one with the corrected version.
 
  • #7
But ##w\notin\ \text{null}(\beta)##, which contradicts the fact that all linear functionals in ##\text{null}(T')## have the same nullspace which includes ##w## since by assumption ##\phi (w)=0##.
This works, since ##\beta\vert _{T(V)} = 0## by definition of ##\beta##. Hence, ##\beta = \lambda \phi## and ##1=\beta w = \lambda \phi w = 0##, a contradiction.
 
  • #8
nuuskur said:
You already know that ##\mathrm{span}\phi=\mathrm{Ker}T' = T(V)^0 = \{w^*\in W' \mid w^*\vert_{T(V)}=0\} ##. By assumption all such ##w^*## are multiples of ##\phi##. So you are to conclude that if ##\lambda \phi \vert_{T(V)} = 0## for all ##\lambda\in\mathbb K##, then ##\mathrm{Ker}\phi = T(V)##.
Is this an entire proof or is this a hint. It is not clear if in the last sentence you are concluding a proof or giving a hint.
 
  • #9
zenterix said:
Is this an entire proof or is this a hint. It is not clear if in the last sentence you are concluding a proof or giving a hint.
It's a rewording of the problem statement in a way that makes it immediately clear why said equality holds.

As for #5, the take away is to define linear maps on bases, then you do not have to worry about whether they are well defined.

Now retrace your steps and identify where you explicitly made use of finite dimension. You do not require finite dimension to define ##\beta##.
 

FAQ: Tricky Problem: Prove range T = null ##\phi## when null T' has dim 1

What is the definition of the range of a linear transformation \( T \)?

The range of a linear transformation \( T \), often denoted as \(\text{Range}(T)\) or \(\text{Im}(T)\), is the set of all vectors that can be expressed as \( T(\mathbf{v}) \) for some vector \(\mathbf{v}\) in the domain of \( T \). In other words, it is the set of all possible outputs of the transformation \( T \).

What does it mean for the null space of the transpose \( T' \) to have dimension 1?

The null space of the transpose \( T' \), denoted as \(\text{null}(T')\), is the set of all vectors \(\mathbf{w}\) such that \( T'(\mathbf{w}) = 0 \). If \(\text{null}(T')\) has dimension 1, it means that this set forms a one-dimensional subspace, implying that there is a single linearly independent vector \(\mathbf{w}\) in \(\text{null}(T')\).

How does the dimension of the null space of \( T' \) relate to the range of \( T \)?

According to the rank-nullity theorem, for a linear transformation \( T \) from a vector space \( V \) to a vector space \( W \), the dimension of \( V \) is equal to the dimension of the range of \( T \) plus the dimension of the null space of \( T \). For the transpose \( T' \), the range of \( T \) is the orthogonal complement of the null space of \( T' \). If \(\text{null}(T')\) has dimension 1, then the range of \( T \) must be the orthogonal complement of a 1-dimensional space, which implies that the range of \( T \) is null.

Why does the dimension of the null space of \( T' \) being 1 imply that the range of \( T \) is null?

The dimension of the null space of \( T' \) being 1 means that there is a single independent vector orthogonal to the range of \( T \). Since the null space and the range are orthogonal complements in the dual space, a 1-dimensional null space of \( T' \) implies that the range of \( T \) must be orthogonal to a 1-dimensional space, leading to the conclusion that the range of \( T \) is null (i.e., it contains only the zero vector).

Can you provide an example to illustrate this concept?

Consider a linear transformation \( T

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