What Does \Re2 \rightarrow \Re2 Mean in Linear Transformations?

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Discussion Overview

The discussion revolves around the notation and concepts related to linear transformations, specifically the notation \Re2 \rightarrow \Re2 and its implications in the context of a test review. Participants seek clarification on the meaning of this notation and related concepts such as domain, codomain, and properties of functions like injectivity and surjectivity.

Discussion Character

  • Conceptual clarification
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants explain that the left-hand side of the arrow represents the starting space (domain) and the right-hand side represents the target space (codomain), specifically in the context of \Re2.
  • There is a suggestion that the notation T1: \Re2 \rightarrow \Re2 indicates a function with domain \Re2 and codomain \Re2, and that the expression x \rightarrow Ax describes the action of applying a matrix A to a vector x.
  • One participant expresses a preference for using the \mapsto notation instead of \to for clarity in representing functions.
  • Another participant raises a question about the difference between onto (surjective) and one-to-one (injective) functions, seeking clarification on the criteria for determining these properties, such as Null(A) and Col(A).
  • A definition of injective and surjective functions is provided, but the discussion remains open regarding examples and deeper understanding.

Areas of Agreement / Disagreement

Participants generally agree on the basic definitions of domain and codomain, as well as the meanings of injective and surjective functions. However, there is no consensus on the preferred notation for representing functions, and the discussion about the differences between onto and one-to-one functions remains unresolved.

Contextual Notes

Some participants express confusion regarding the notation and its implications, indicating a need for further examples and clarification on the properties of linear transformations.

Who May Find This Useful

This discussion may be useful for students preparing for tests in linear algebra or those seeking to understand the notation and properties of linear transformations and functions in mathematical contexts.

DmytriE
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Hi Pf,

Here is a question regard a test review that we have. I am not looking for the answer but rather a clarification about the notation.

1. What does the following mean? T1: [itex]\Re[/itex]2 [itex]\rightarrow[/itex] [itex]\Re[/itex]2 by x [itex]\rightarrow[/itex] Ax?

2. What does it mean to go [itex]\Re[/itex]2 [itex]\rightarrow[/itex] [itex]\Re[/itex]2

Thanks.
 
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DmytriE said:
Hi Pf,

Here is a question regard a test review that we have. I am not looking for the answer but rather a clarification about the notation.

1. What does the following mean? T1: [itex]\Re[/itex]2 [itex]\rightarrow[/itex] [itex]\Re[/itex]2 by x [itex]\rightarrow[/itex] Ax?

2. What does it mean to go [itex]\Re[/itex]2 [itex]\rightarrow[/itex] [itex]\Re[/itex]2

Thanks.

Hey DmytriE.

Basically the LHS of the arrow is your starting space and the RHS is your target space. In other words we are starting in R^2 (2D vector with real numbers in each element) and we are going to a 2D vector.

In terms x -> Ax, this means that we start with a vector x and then we apply the operator A to the vector x by calculating Ax using normal matrix multiplication to get a new vector (still in R^2) called x' where x' = Ax.
 
Thanks Chiro!
 
The technical terms for "starting space" and "target space" are "domain" and "codomain". The notation ##\mathbb R## (\mathbb R) is more common than ##\Re## (\Re).

It strikes me as a bit odd to write "##T_1:\mathbb R^2\to\mathbb R^2## by ##x\to Ax##". The notation ##T_1:\mathbb R^2\to\mathbb R^2## tells us that ##T_1## is a function with domain ##\mathbb R^2## and codomain ##\mathbb R^2##. The notation ##x\to Ax## should mean "the function that takes x to Ax". Wouldn't you denote that function by A? Hm, I guess that the most likely explanation is that A is a matrix, and the person who wrote this would like to emphasize that the linear operator T1 that corresponds to the matrix A isn't the same thing as A (even though T1 acting on x gives us the same result as A times x).

By the way, I prefer to use the \mapsto arrow in the second notation, i.e. I would write ##x\mapsto Ax## instead of ##x\to Ax##. Some people prefer to never use the mapsto arrow. That's OK too.
 
I was trying to us the \mapsto arrow but when I clicked on it it gave me the bidirectional arrow and I did not know it's proper name so I just selected the normal arrow.

Here is another thing that confused me and my professor explained but I guess I was unable to grasp it. What is the difference between onto and one-to-one? What quantities would you look at to determine if it is one-to-one or onto (i.e. Null(A) or Col(A))? An example would help a lot.
 
A function f:X→Y is said to be injective (or one-to-one) if for all x,y in X, f(x)=f(y) implies x=y.

A function f:X→Y is said to be surjective (or onto) if for all y in Y, there's an x in X such that f(x)=y.

You can find examples in the wikipedia articles for these terms.
 

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