Showing a transformation is not linear

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Homework Help Overview

The discussion revolves around the properties of linear transformations in the context of various mathematical problems. Participants are examining specific transformations to determine whether they meet the criteria for linearity, including the preservation of vector addition and scalar multiplication.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants analyze specific transformations by checking if they satisfy the properties of linearity. They present examples and counterexamples to illustrate their reasoning. Some participants express uncertainty about their proofs and seek clarification on their approaches.

Discussion Status

The conversation includes affirmations of correctness for some attempts, while others are met with requests for clarification or suggestions for improvement. Participants are actively engaging with each other's reasoning and exploring different aspects of the problems presented.

Contextual Notes

Some participants mention the need to provide explicit values to demonstrate non-linearity, while others discuss the implications of injective and surjective transformations in relation to dimensionality. There is an ongoing exploration of definitions and properties related to linear transformations.

TranscendArcu
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Homework Statement



http://img526.imageshack.us/img526/4926/screenshot20120128at941.png

The Attempt at a Solution


A linear transformation must satisfy the property: T(a \vec{X} ) = a T(\vec{X} ) \forall X \in V, a \in R. However, it is not in general true that (a^2 x^2,a^2 y^2 = a(x^2,y^2). In particular, we can see this fails for a = 3, x= 4,y=5. Indeed,

(3^2 4^2,3^2 5^2) ≠ 3(4^2,5^2)
(9 \ast 16,9 \ast 25) ≠ 3(16,25)
(144,225) ≠ (48,75)

Thus, this is not a linear transformation.

Am I doing this right?
 
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This is perfect!
 
Good to hear I did the first one right. Thanks! There are four of these problems in total and I want to make sure I know how to do them correctly.

http://img267.imageshack.us/img267/844/screenshot20120128at956.png

A linear transformation must satisfy the property that T(\vec{A} + \vec{B}) = T(\vec{A}) + T(\vec{B}). Let two vectors in R^3 be denoted by (x_1,y_1,z_1),(x_2,y_2,z_2). Thus,

T((x_1,y_1,z_1) + (x_2,y_2,z_2)) = T(x_1 +x_2,y_1 + y_2, z_1 + z_2)
T(x_1 +x_2,y_1 + y_2, z_1 + z_2) = (x_1 +x_2+y_1 + y_2+z_1 + z_2,1)

But, T(x_1,y_1,z_1) + T(x_2,y_2,z_2) = (x_1+y_1+z_1,1) + (x_2+y_2+z_2,1)
(x_1+y_1+z_1,1) + (x_2+y_2+z_2,1) = (x_1 +x_2+y_1 + y_2+z_1 + z_2,2)

However, (x_1 +x_2+y_1 + y_2+z_1 + z_2,1) ≠ (x_1 +x_2+y_1 + y_2+z_1 + z_2,2). Thus, this is not a linear transformation.
 
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Also good!
 
http://img192.imageshack.us/img192/7066/screenshot20120128at100.png

We said earlier that a linear transformation has the property: T(a \vec{X} ) = a T(\vec{X}). In this problem,

T(a x) = (1,-1). However, a T(x) = a (1,-1) = (a,-a).

The equation (1,-1) = (a,-a) holds only in the case a =1. Because the equation does not hold for any other number, this is not a linear transformation.
 
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Fine!
 
http://img85.imageshack.us/img85/6540/screenshot20120128at101.png
We'll use the same property as in the first and third problems to show this is not a linear transformation.

T[a(x,y)] = T(ax,ay) = (a^2 x y,ay,ax). However, aT(x,y) = a(xy,y,x) = (axy,ay,ax). Again, we observe that (a^2 x y,ay,ax) = (axy,ay,ax) will be true only in two particular cases. These are a = 1,a= 0. Because the equation is not true in general, we conclude this is not a linear transformation.
 
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Good! (maybe it's also good to find explicit values of a,x and y such that the equation doesn't hold)
 
Okay. I'll add a specific case to show that the equation does not hold. Thanks! My other homework problems are a little bit different, but I'd like to talk about this one in particular:

http://img220.imageshack.us/img220/7180/screenshot20120128at104.png

First, I considered the idea of multiplication as a binary operator. That is, for well-chosen a_1,a_2,a_3 \in R it is conceivable that a_1 * a_2 = a_3. That is, I am able to input two numbers and get one number as a result. With regard to this question, I said let T(x) = y where y \in R. Thus, using the idea of multiplication as a binary operator, I would have x * t = y. In the cases that x ≠ 0 I can solve to find t = \frac{y}{x} \in R. In the case x=0, we know that any linear transformation of the zero vector of the domain must map to the zero vector of the codomain. In this case, t can be any such number because t * \vec{0} = \vec {0}.

First of all, is this a proof? It seems conceivable to me that this could work but I'm not entirely sure.
 
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  • #10
Hmmm, I don't quite understand the proof :( So I guess it's not correct.

Here's a way to prove it: let T(1)=t. Can you now use linearity to show that T(x)=tx??
 
  • #11
micromass said:
Hmmm, I don't quite understand the proof :( So I guess it's not correct.
:,(
Here's a way to prove it: let T(1)=t. Can you now use linearity to show that T(x)=tx??
Alright, letting T(1) = t. We know that x \in R. Thus, we may treat x as a kind of scalar. We can write,

T(x) = T(1*x) = xT(1) = xt. Thus, the existence of such a t is shown.
 
  • #12
TranscendArcu said:
:,(
Alright, letting T(1) = t. We know that x \in R. Thus, we may treat x as a kind of scalar. We can write,

T(x) = T(1*x) = xT(1) = xt. Thus, the existence of such a t is shown.

Tht's good!
 
  • #13
Okay. That's much shorter than what I had previously, so that's an improvement (and it's right, too!). Below is another problem that I'd like my work checked on.

http://img337.imageshack.us/img337/1043/screenshot20120129at101.png

Let \left\{ A_1,...,A_n \right\} be a basis for V, and \left\{ B_1,...,B_n \right\} be a basis for W. If T is injective, then T(A_i) ≠ T(A_k) where 1≤i,k≤n. If T is injective, then ker(T) = \left\{ 0 \right\}. We know, dim(V) = dim(ker(T)) + dim(Im(T)). We write n = 0 + dim(Im(T)). This implies dim(Im(T)) = n, and thus, Im(T) = V, which means T is surjective.

Suppose T is surjective. Then Im(T) = V. Thus, dim(Im(T)) = dim(V). We write, dim(Im(T)) = n. We know, dim(V) = dim(ker(T)) + dim(Im(T)). We write, n = dim(ker(T)) + n. This implies dim(ker(T)) = 0, and thus ker(T) = \left\{ 0 \right\}. This means that T is injective.
 
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  • #14
Seems ok!
 

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