Proving Linear Maps are One-to-One

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In summary, a linear map T: Rn->Rm is one to one if and only if the dimension of the image of T is equal to the dimension of the domain. This can be proven by using the rank nullity theorem and the independence assumption, as well as finding a basis of $\mathbb{R}^n$ and showing that the image of this basis under T cannot be linearly independent in $\mathbb{R}^m$. This leads to a contradiction, proving that T cannot be one to one.
  • #1
baseball3030
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One to One

Prove that A linear map T: Rn->Rm is one to one:

Again, the only thing I can think of doing is possibly using rank nullity theorem but then again I think this can be proved by using independence assumption.
 
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Hint: find a basis of $\mathbb{R}^n$ (the columns of $I_n$ will do) and show that the image of this basis under $T$ cannot be linearly independent in $\mathbb{R}^m$. Use this to show that $\mathbf{0} \in \mathrm{R}^m$ has two preimages under $T$.​
 
  • #3
From a previous topic, if $B$ is any basis for $\Bbb R^n$, then $T(B)$ is linearly independent if $T$ is 1-1.

Thus $\text{dim}(\text{im}(T)) = |T(B)| = n$.

Since any basis $C$ of $\Bbb R^m$ is a MAXIMAL linearly independent set, we have $n \leq m$, contradicting $m < n$.

Our only assumption was that $T$ was 1-1, so this cannot be the case.

(Bacterius' approach is good, too :))
 

Related to Proving Linear Maps are One-to-One

1. How do you prove that a linear map is one-to-one?

To prove that a linear map is one-to-one, you need to show that for any two distinct inputs, the outputs are also distinct. This can be done by setting up equations with the inputs and solving for the outputs. If the outputs are different, then the linear map is one-to-one.

2. What is the significance of a linear map being one-to-one?

A linear map being one-to-one means that every input has a unique output, which is important for many applications in mathematics and science. It ensures that no information is lost in the transformation, making it easier to analyze and manipulate the data.

3. Can a linear map be both one-to-one and onto?

Yes, a linear map can be both one-to-one and onto. This means that every input has a unique output and every output has a corresponding input. This type of linear map is called a bijection and is useful for solving equations and finding inverse functions.

4. What techniques can be used to prove that a linear map is one-to-one?

There are several techniques that can be used to prove that a linear map is one-to-one. These include setting up and solving equations with the inputs and outputs, using properties of matrices, and using the definition of a one-to-one function. It is important to carefully analyze the inputs and outputs to determine the most appropriate method for proving one-to-one.

5. Can a linear map be one-to-one if it is not a function?

No, a linear map must be a function in order to be one-to-one. This means that for every input, there is exactly one output. If a linear map is not a function, then it is not well-defined and cannot be proven to be one-to-one.

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