Definition of an operator in a vector space

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Discussion Overview

The discussion revolves around the definition of an operator in the context of vector spaces, particularly focusing on whether a linear map from a vector space to a subspace can be considered an operator. Participants explore the implications of dimensionality on properties such as injectivity, surjectivity, and invertibility of operators.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • Some participants define an operator as a linear map from a vector space into itself, while others note that some authors may not require the map to be into itself or even linear.
  • A participant questions whether a linear map from a vector space to a subspace can be called an operator, suggesting that terminology may vary among authors.
  • Concerns are raised about a theorem stating that certain properties (invertibility, injectivity, surjectivity) are equivalent for operators, particularly when the dimensions of the vector space and subspace differ.
  • Another participant argues that if the target space of the operator is defined as a subspace, it can still be surjective if its range equals that subspace.
  • Further clarification is offered that the theorem is valid only when the dimensions of the vector space and subspace are equal, and examples are provided to illustrate cases of injectivity and surjectivity based on dimensionality.

Areas of Agreement / Disagreement

Participants generally disagree on the definition of an operator and the implications of dimensionality on the properties of linear maps. There is no consensus on whether a linear map to a subspace can be classified as an operator, and the discussion remains unresolved regarding the validity of the theorem under different dimensional conditions.

Contextual Notes

Participants express uncertainty about the definitions and properties of operators, particularly in relation to injectivity and surjectivity when the dimensions of the vector space and subspace differ. The discussion highlights the dependence on specific definitions and the potential for varying interpretations among different authors.

maNoFchangE
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In the book that I read, an operator is defined to be a linear map which maps from a vector space into itself. For example, if ##T## is an operator in a vector space ##V##, then ##T:V\rightarrow V##. Now, what if I have an operator ##O## such that ##T:V\rightarrow U## where ##U## is a subspace of ##V##. Can I call ##O## an operator in ##V##?
 
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maNoFchangE said:
In the book that I read, an operator is defined to be a linear map which maps from a vector space into itself. For example, if ##T## is an operator in a vector space ##V##, then ##T:V\rightarrow V##. Now, what if I have an operator ##O## such that ##T:V\rightarrow U## where ##U## is a subspace of ##V##. Can I call ##O## an operator in ##V##?
I assume you meant ##O:V\rightarrow U##. The answer is: yes. Usually one says "operator on", reserving "in" for injective functions and "onto" for surjective functions. However, that may differ from author to author.
Surjective means ##im (O) = O(V) = U## and injective that ##O(v) = 0 ⇒ v=0## or ##O: V → U## is an embedding, e.g. if ##V ⊆ U## which of course would imply ##V=U## in the case ##U## is a sub vector space of ##V##.
 
maNoFchangE said:
In the book that I read, an operator is defined to be a linear map which maps from a vector space into itself.

It's worth pointing out some authors drop the "into itself" or "to itself" part altogether. In fact, there are people who drop the linearity requirement as well, so "operators" and "linear operators" are different things. Wikipedia seems to be of this convention.
 
Thanks for the answers.
Ok, if ##O## defined above is an operator, then the following theorem (which I also read in the same book) is wrong:
Suppose ##V## is finite dimensional. If ##O\in\mathcal{L}(V)##, then the following are equivalent:
a) ##O## is invertible
b) ##O## is injective
c) ##O## is surjective
It can be wrong because for the special case when ##\textrm{dim } U<\textrm{dim } V##, ##O## cannot be injective, but it can still be surjective.
 
maNoFchangE said:
Thanks for the answers.
Ok, if ##O## defined above is an operator, then the following theorem (which I also read in the same book) is wrong:

It can be wrong because for the special case when ##\textrm{dim } U<\textrm{dim } V##, ##O## cannot be injective, but it can still be surjective.
If ##\textrm{dim } U<\textrm{dim } V## then ##O## is neither injective, nor surjective, nor invertible. E.g. surjective plus ##O\in \cal{L}(V)##means ##O(V)=V##. In the cases listed ##U=V##.

Edit: The theorem says, if one of the properties holds, then all three are valid. It doesn't say it must always be the case. But if then ##O(V) = V##.
 
Last edited:
fresh_42 said:
If ##\textrm{dim } U<\textrm{dim } V## then ##O## is neither injective, nor surjective, nor invertible. E.g. surjective plus ##O\in \cal{L}(V)##means ##O(V)=V##. In the cases listed ##U=V##.
Why can't it be surjective? I think we have defined the target space of ##O## to be ##U## not ##V##. Despite ##U## being a subspace of ##V##, if ##\textrm{range }O=U##,then it is surjective. Consider the following example. Suppose ##V = \mathbb{R}^3## and ##U = \mathbb{R}^2##, and ##O## is a projection matrix,
$$
\begin{pmatrix}
1 & 0 & 0 \\
0 & 1 & 0 \\
0 & 0 & 0
\end{pmatrix}
$$
so ##O\in \mathcal{L}(\mathbb{R}^3)##. Furthermore, ##O## is surjective because ##\textrm{range }O=\mathbb{R}^2## but it's not injective.
 
Last edited:
maNoFchangE said:
Thanks for the answers.
Ok, if ##O## defined above is an operator, then the following theorem (which I also read in the same book) is wrong:
Suppose ##V## is finite dimensional. If ##O \in \mathcal L(V)## , then the following are equivalent:
a) ##O## is invertible
b) ##O## is injective
c) ##O## is surjective
It can be wrong because for the special case when ##\textrm{dim } U<\textrm{dim } V##, ##O## cannot be injective, but it can still be surjective.
The theorem is only valid if ##\dim(V)=\dim(U)##. (Although I assume that the book meant linear operators from ##V \to V##.)
If we look at linear operators from ##V \to U##:
If ##\dim(V)<\dim(U)##, a linear operator ##O## can be injective, but can not be surjective.
If ##\dim(V)>\dim(U)##, a linear operator ##O## can be surjective, but can not be injective.
 
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Thanks @Samy_A ,
Samy_A said:
The theorem is only valid if ##\dim(V)=\dim(U)##.
Since in one of the previous posts, I have defined ##U## to be a subspace of ##V##, this implies that the theorem is valid when ##U=V##?
 
maNoFchangE said:
Thanks @Samy_A ,

Since in one of the previous posts, I have defined ##U## to be a subspace of ##V##, this implies that the theorem is valid when ##U=V##?
Yes, the theorem is valid if ##U=V##.
 

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