ILinear Transformations / Isomorphs

In summary, the homework statement is "Determine if the following is a linear transformation or not". A linear transformation is a function that satisfies the two conditions for linearity, which are that the result of the function is in R and that the function takes a 2-vector and gives as output a 2-vector.
  • #1
says
594
12

Homework Statement


Determine if the following is a linear transformation or not

f : IR2 → IR, f(x, y) = x + y

Homework Equations


T(x+y) = T(x) + T(y)
T(ca) = Tc(a)

The Attempt at a Solution


I can't tell you how much I've read, how many youtube videos I've watched over the last couple of hours. I'm so confused with linear transformations.
They are basically functions, only we want to think of them slightly differently and visualise them as moving, squishing, stretching a vector.
Can somebody eli5 (explain like I'm 5) and help me understand linear transformations / isomorphs. I added the example above as a reference.
 
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  • #2
Linearity is a property of functions between vector spaces. Of course some functions are linear, others not.
Linearity is defined by the relevant equations you stated. Although you didn't state it, in order for a function to be linear the equations have to be true for all vectors x, y, a and for all (real) numbers c.

Take two functions, f and g
##f: \mathbb R² \to \mathbb R##: ##(x,y) \mapsto x+y##
##g: \mathbb R² \to \mathbb R##: ##(x,y) \mapsto x²+y##

##g## is not linear because it doesn't satisfy the relevant equations you stated, and which define what a linear function is.

Let's check it:
##g(1,1)+g(2,3)=1²+1+2²+3=9##
##g((1,1)+(2,3))=g(1+2,1+3)=g(3,4)=3²+4=13##
##9 \neq 13## , so g doesn't satisfy your first relevant equation.

##g(3(2,4))=g(3*2,3*4)=g(6,12)=36+12=48##
##3g(2,4)=3(2²+4)=3*8=24##
##48 \neq 24## , so g doesn't satisfy your second relevant equation.

Now try to prove that f does satisfy the two conditions for linearity.
 
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  • #3
Basically you have to check if f ((x,y)+(a,b))=f (x,y)+f (a,b)

And f (a (x,y))=af (x,y)

We suppose that the operations are (x,y)+(a,b)=(x+a,y+b) and a (x,y)=(ax,ay)
 
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  • #4
so f(x,y) = x+y

We write this as a column vector
x
y
Then we create out own corresponding column vector a+b, which gives us two column vectors:
x a
y b
for it to be a linear transformation
x+a
y+b
has to =
x+y
a+b

Is this correct for the first rule of linear transformations?
 
  • #5
The result of your function is in R so it is not a column vector it is the sum of the components.
 
  • #6
I don't understand.
 
  • #7
F of your vector
x+a
y+b

Is x+a+y+b which indeed equals to x+y+a+b
 
  • #8
So it is a linear transformation? If it wanted the answer in R2 though it wouldn't be a linear transformation? Was my answer in R2?
 
  • #9
A function from R2->R2 takes a 2-vector and gives as output a 2-vector for exemple

$$\begin{array}{c}x\\y\end {array}\mapsto\begin {array}{c} 2x+y
\\x-y\end {array} $$

We are not supposed to give direct answers but to give hints to the problems.
 
  • #10
I'm conceptually having problems though -- my question isn't homework, it's about understanding the theory behind what I'm doing without loading myself with too many new terms.
 
  • #11
Isn't x+y one vector though?
 
  • #12
says said:
I'm conceptually having problems though -- my question isn't homework, it's about understanding the theory behind what I'm doing without loading myself with too many new terms.

says said:
Isn't x+y one vector though?
You should try to use clear and consistent notation.

For example, write vectors in ##\mathbb R²## as ##(x,y)##.
That way, you can easily see the difference between a vector, ##(x,y)##, and a number, ##x+y##.
 
  • #13
A transformation from R2 to R1 would take 2 vectors V1: x+y and V2: a+b and give an output as one vector.

so T:x+y= T(x+y+a+b)
This is equal to T(V1) + T(V2), which = T(x+y) + T(a+b) = T(x+y+a+b)
T(ca) = Tc(a)

T(c*x+y) = T(cx+y)
Tc(x+y) = Tcx+Tcy

T(cx+y) does not equal Tcx+Tcy

I think this is better. The first condition is met, but the second is not, which means it is not a linear transformation.
 
  • #14
Let's rewrite the first part of your post:
says said:
A transformation from R2 to R1 would take 2 vectors V1: x+y and V2: a+b and give an output as one vector.

so T:x+y= T(x+y+a+b)
This is equal to T(V1) + T(V2), which = T(x+y) + T(a+b) = T(x+y+a+b)
##V1=(x,y), V2=(a,b)##
We have to prove that ##T(V1)+T(V2)=T(V1+V2)##
##T(V1)+T(V2)=x+y + a+b##
##T(V1+V2)=T((x+a,y+b))=x+a+y+b##
As ##x+y + a+b=x+a+y+b##, the first condition is met.

Now try to check the second condition, using a clear notation.
 
  • #15
T(cx) = Tc(x), where x=V1T(cV1) = Tc(V1)
T(c(x+y)) = Tc(x+y)

T(cx+cy) = Tcx+Tcy
Tcx+Tcy = Tcx+Tcy

So it is a linear transformation because the second condition is met. I made a little mistake in the post above.
 
  • #16
says said:
T(cx) = Tc(x), where x=V1T(cV1) = Tc(V1)
T(c(x+y)) = Tc(x+y)

T(cx+cy) = Tcx+Tcy
Tcx+Tcy = Tcx+Tcy

So it is a linear transformation because the second condition is met. I made a little mistake in the post above.
This is almost unreadable.
It would help to use consistent notation. For example, in your post ##x## represents a vector in ##\mathbb R²## but also the first coordinate of that vector: very confusing.

Moreover "Tcx" and "Tcy" are meaningless, as T is an operator on ##\mathbb R²##, while cx and cy are (I assume) numbers.

Your conclusion is correct, T is linear, but try to write the proof in a correct way.
 
  • #17
Thanks for your help!
 

Related to ILinear Transformations / Isomorphs

What is a linear transformation?

A linear transformation is a mathematical function that maps one vector space to another while preserving the structure of the space. This means that the transformation maintains the properties of addition and scalar multiplication.

What is an isomorph?

An isomorph is a type of linear transformation that is both one-to-one and onto. This means that every element in the original vector space is mapped to a unique element in the new vector space, and every element in the new vector space has a corresponding element in the original vector space.

What is the difference between an isomorph and a linear transformation?

An isomorph is a type of linear transformation, but not all linear transformations are isomorphs. Isomorphs have the additional property of being both one-to-one and onto, while linear transformations may only have one of these properties.

What is the purpose of studying linear transformations and isomorphs?

Studying linear transformations and isomorphs is important in understanding the structure and properties of vector spaces. They are used in many areas of mathematics, such as linear algebra, geometry, and differential equations, and have applications in fields such as physics, computer graphics, and economics.

How can linear transformations and isomorphs be represented?

Linear transformations and isomorphs can be represented in various ways, such as matrices, systems of equations, and geometric transformations. They can also be visualized using graphs and diagrams to better understand their effects on vector spaces.

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