Kernel on linear transformation proof

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Discussion Overview

The discussion revolves around a proof involving the kernel of linear transformations. Participants explore the relationship between the intersection of kernels of multiple linear transformations and the kernel of their sum, addressing conceptual and set-theoretic aspects of the proof.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant seeks hints for proving that if a vector belongs to the intersection of the kernels of two linear transformations, it also belongs to the kernel of their sum.
  • Another participant suggests examining what can be inferred about the transformations applied to a vector in the intersection of the kernels.
  • A participant clarifies that there is only one zero element in the vector space, emphasizing that the zero in the intersection and the zero in the sum are the same.
  • Further explanation is provided regarding the implications of a vector being in the kernel of multiple transformations, leading to the conclusion that it must also be in the kernel of their sum.
  • An example involving specific linear transformations in \(\mathbb{R}^3\) is presented to illustrate the concepts discussed, including the identification of kernels and their intersection.

Areas of Agreement / Disagreement

Participants generally agree on the conceptual framework of the proof and the nature of the zero element in the vector space. However, there is an initial confusion regarding the relationship between the zero of the intersection and the zero of the sum, which is addressed but not fully resolved.

Contextual Notes

The discussion includes assumptions about the properties of linear transformations and the structure of vector spaces, which may not be explicitly stated. The example provided is specific to \(\mathbb{R}^3\) and may not generalize without further clarification.

Cristian1
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hi guys :D

im having trouble with this proof, any hints?

let V be a vector space over a field F and let T1, T2: V--->V be linear transformations

prove that
 

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Hi Cristian,

If $$v\in \text{ker}(T_{1})\cap\text{ker}(T_{2}),$$

then what can we say about $$T_{1}(v)$$ and $$T_{2}(v)$$? With this question answered, we then look at

$$(T_{1}+T_{2})(v)=T_{1}(v)+T_{2}(v)=\ldots$$

I'm trying to give you a few hints so you can fill in the gaps on your own. Let me know if you're still confused/unclear on something.
 
thank you!
I see the point but don't see clearly the difference between the zero of the intersection and the zero of the sum
 
I will try to address what I think may be the confusion; if I have misunderstood you, just let me know.

My understanding of your question is that there is a perceived difference in the zero of the intersection and the zero of the sum. This is not the case: there is a single vector space, $$V,$$ and only one zero element of $$V.$$

What we are trying to show is ultimately set-theoretic in nature: we want to show that if an element $$v\in\bigcap_{i=1}^{n}\text{ker}(T_{i}),$$ then $$v\in \text{ker}\left(\sum_{i=1}^{n}T_{i} \right).$$ Let's break down what all this means:

To say that a vector belongs to the kernel of a linear transformation means that the linear transformation sends that vector to zero. So, by assuming $$v\in\bigcap_{i=1}^{n}\text{ker}(T_{i})$$ we are saying that $$v$$ makes all of the linear transformations zero; i.e.

$$T_{1}(v)=0,~ T_{2}(v)=0,\ldots, T_{n}(v)=0$$

In each case above the zero is the zero element of $$V,$$ they are not different zeros. Now, to show that $$v\in \text{ker}\left(\sum_{i=1}^{n}T_{i} \right),$$ we must show that when we plug $$v$$ into the function/linear transformation $$\sum_{i=1}^{n}T_{i}$$ we still get zero. For this we compute:

$$\left( \sum_{i=1}^{n}T_{i}\right)(v)=\sum_{i=1}^{n}T_{i}(v)=T_{1}(v)+T_{2}(v)+\ldots+T_{n}(v)=0+0+\ldots+0=0$$

Hence, $$v\in\text{ker}\left(\sum_{i=1}^{n}T_{i} \right).$$ Since $$v\in\bigcap_{i=1}^{n}\text{ker}(T_{i})$$ was arbitrary, the proof is finished.

Let's take an example to help us along. Let our vector space be

$$V=\mathbb{R}^{3}=\left\{\begin{bmatrix}x\\ y\\ z \end{bmatrix}: x, \, y, \, z\in\mathbb{R} \right\}$$

and our linear transformations $$T_{1}$$ & $$T_{2}$$ be given by

$$T_{1}\left(\begin{bmatrix}x\\y\\z \end{bmatrix} \right)=\begin{bmatrix}0\\y\\0 \end{bmatrix}$$

and

$$T_{2}\left(\begin{bmatrix}x\\y\\z \end{bmatrix} \right)=\begin{bmatrix}x\\0\\0 \end{bmatrix}$$

The zero element in this example is $$\begin{bmatrix}0\\0\\0\end{bmatrix}$$

Notice that $$T_{1}\left(\begin{bmatrix}x\\y\\z \end{bmatrix} \right)=\begin{bmatrix}0\\0\\0\end{bmatrix}$$

if and only if $$y=0.$$ Hence, $$\text{ker}(T_{1})=xz$$ plane. Similarly, $$\text{ker}(T_{2})=yz$$ plane. The intersection of these two kernels is the entire $$z$$ axis; i.e.

$$\bigcap_{i=1}^{2}\text{ker}(T_{i})=\left\{\begin{bmatrix}0\\0\\z \end{bmatrix}: z\in\mathbb{R} \right\}$$

(Drawing a picture of the two planes to see that their intersection is the $$z$$ axis may be helpful)

Now, if we wish to demonstrate the general proof you're working on in this example, we take an element $$\begin{bmatrix}0\\0\\z\end{bmatrix}\in \bigcap_{i=1}^{2}\text{ker}(T_{i})$$ and compute using the definitions of $$T_{1}$$ & $$T_{2}$$

$$\left(T_{1}+T_{2}\right)\left(\begin{bmatrix}0\\0\\z\end{bmatrix} \right)=T_{1}\left(\begin{bmatrix}0\\0\\z\end{bmatrix} \right)+T_{2}\left(\begin{bmatrix}0\\0\\z\end{bmatrix} \right)=\begin{bmatrix}0\\0\\0 \end{bmatrix} + \begin{bmatrix}0\\0\\0 \end{bmatrix} = \begin{bmatrix}0\\0\\0 \end{bmatrix}
$$

Hence, $$\begin{bmatrix}0\\0\\z\end{bmatrix}\in\text{ker}\left(\sum_{i=1}^{2}T_{i} \right)$$ as well. Thus, for this specific example,

$$\bigcap_{i=1}^{2}\text{ker}(T_{i})\subseteq \text{ker}\left(\sum_{i=1}^{2}T_{i} \right),$$

as it should be from your general exercise.

This is a long post, but I hope I have understood and addressed your concern. Let me know if anything is unclear/not quite right.
 
thank you very much! :)
 

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