ILinear Transformations / Isomorphs

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Homework Help Overview

The discussion revolves around determining whether a given function, specifically f : IR² → IR defined by f(x, y) = x + y, qualifies as a linear transformation. Participants explore the properties of linearity and the definitions that govern such transformations.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the definition of linear transformations and the necessary conditions for a function to be considered linear. There are attempts to verify if the function f satisfies these conditions, with some participants questioning the implications of the function's output being a scalar rather than a vector.

Discussion Status

The conversation is ongoing, with various interpretations and approaches being explored. Some participants have provided guidance on how to check the conditions for linearity, while others express confusion about the concepts involved. There is no explicit consensus on the final classification of the function as a linear transformation.

Contextual Notes

Participants note the importance of using clear and consistent notation to avoid confusion, particularly distinguishing between vectors and scalar outputs. There is also mention of homework constraints that limit the type of assistance that can be provided.

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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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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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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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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?
 
The result of your function is in R so it is not a column vector it is the sum of the components.
 
I don't understand.
 
F of your vector
x+a
y+b

Is x+a+y+b which indeed equals to x+y+a+b
 
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?
 
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!
 

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