Linear Transformations p2 to R2

In summary, this conversation is about a linear transformation from p2 to R2. The attempted solution is gibberish and does not make sense.
  • #1
says
594
12

Homework Statement


f: p2 to R2, f(ax2+bx+c) = (a+b, b+c) = V12. Homework Equations
Create a p2 to R2 polynom and R2 equation that is equivalent to the above statement, so:

f(dx2+ex+g) = (d+e, e+g) = V2

Therefore a=d b=e c=g

f(ax2+bx+c) = (a+b, b+c) = f(dx2+ex+g) = (d+e, e+g)

The Attempt at a Solution



T(V1+V2) = T(V1) + T(V2)

T(V1+V2) = T(V1) +T(V2) for a linear transformation

T(V1+V2) =T(a+d, b+e) + (b+e, c+g) = T(a+d+b+e, b+e+c+g)

T(V1) + T(V2) = (a+b, b+c) + (d+e, e+g) = T(a+b+d+e, b+c+e+g)

T(a+d+b+e, b+e+c+g) = T(a+b+d+e, b+c+e+g) FIRST CONDITION MET!

T(wV1) = Tw(V1)

T(w(a+b,b+c) = Tw(a+b,b+c)
T(wa+wb, wb+wc) = (Twa+Twb, Twb +Twc)
(Twa+Twb, Twb +Twc) = (Twa+Twb, Twb +Twc) SECOND CONDITION MET!

This is a linear transformation from p2 to R2.

I was hoping someone could help me out just to make sure I'm on the right track. I get a bit confused with vectors and column vector notation in linear algebra.
 
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  • #2
says said:

Homework Statement


f: p2 to R2, f(ax2+bx+c) = (a+b, b+c) = V12. Homework Equations
Create a p2 to R2 polynom and R2 equation that is equivalent to the above statement, so:

f(dx2+ex+g) = (d+e, e+g) = V2


Therefore a=d b=e c=g

f(ax2+bx+c) = (a+b, b+c) = f(dx2+ex+g) = (d+e, e+g)

The Attempt at a Solution

The attempt at a solution to what problem? Are you trying to show that this is a linear transformation? You didn't say that!

T(V1+V2) = T(V1) + T(V2)

T(V1+V2) = T(V1) +T(V2) for a linear transformation

T(V1+V2) =T(a+d, b+e) + (b+e, c+g) = T(a+d+b+e, b+e+c+g)
This makes no sense. V1 and V2 are the vectors above so T(V1+ V2) makes sense but then T(a+d, b+e) does not. T is not applied to pairs of numbers.
You are not distinguishing between the linear transformation, T, you are applying and the result of applying it.

T(V1) + T(V2) = (a+b, b+c) + (d+e, e+g) = T(a+b+d+e, b+c+e+g)
(a+d+b+e, b+e+c+g) = T(a+b+d+e, b+c+e+g) FIRST CONDITION MET!

T(wV1) = Tw(V1)

T(w(a+b,b+c) = Tw(a+b,b+c)
T(wa+wb, wb+wc) = (Twa+Twb, Twb +Twc)
(Twa+Twb, Twb +Twc) = (Twa+Twb, Twb +Twc) SECOND CONDITION MET!
Same criticism here. Certainlt "(Twa+ Twb, Twb+ Twc)" makes no sense and saying it is equal to itself is meaningless.

This is a linear transformation from p2 to R2.

I was hoping someone could help me out just to make sure I'm on the right track. I get a bit confused with vectors and column vector notation in linear algebra.
 
  • #3
Yes, sorry I'm trying to show that it is a linear transformation.

So T (V1 + V2) = T(a+b + d+e) in R2 = T(a+b, d+e) ?
 
  • #4
says said:
Yes, sorry I'm trying to show that it is a linear transformation.

So T (V1 + V2) = T(a+b + d+e) in R2 = T(a+b, d+e) ?
The work you show is very confusing. In post 1, you have a function (transformation) named f, where f: P2 → R2. After that, you don't use f any more, but change to T.

I'm assuming that f and T represent the same transformation.

With regard to your equation just above, T(V1 + V2) makes no sense. From your first post, V1 is apparently a vector in R2, so it makes no sense to use it as an input to the transformation.

T(a + b + d + e) also makes no sense. a + b + d + e represents a single number. The domain of T is polynomials of degree less than or equal to 2. .
T(a + b, d + e) also makes no sense for the same reason.

Try to be more careful in what you write. According to your definition in post 1, T(ax2 + bx + c) = <a + b, b + c>. T (or f as you originally used) is a map from polynomials of degree 2 to vectors in R2.

One of the things you need to prove is that T(p1 + p2) = T(p1) + T(p2), where p1 and p2 are arbitrary polynomials of degree 2.

When you write stuff like T(V1 + V2), it would appear that you don't understand how this transformation works.
 
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  • #5
Yeah, I'm so confused with linear transformations, image, range, kernel, etc. and it's so hard to find something online that goes through the process step by step without being inundated with a whole bunch of new terms...
 
  • #6
says said:
Yeah, I'm so confused with linear transformations, image, range, kernel, etc. and it's so hard to find something online that goes through the process step by step without being inundated with a whole bunch of new terms...
Your textbook should have definitions of all of these terms.

For this problem, though, image, range, and kernel are not relevant. The only term of those you listed that is relevant is "linear transformation."
 
  • #7
f: p2 to R2, f(ax2+bx+c) = (a+b, b+c)

p1: ax2+bx+c
p2: dx2+ex+g

(p1+p2) = ((a+d)+(b+e)+(c+g))
f(p1+p2) = (a+b+d+e, b+c+e+g)

f(p1) = (a+b, b+c)
f(p2) = (d+e, e+g)

f(p1+p2) = f(p1) + f(p2)
f(p1+p2) = (a+b+d+e, b+c+e+g) = (a+b, b+c) + (d+e, e+g)

First condition met!

replacing the term c with the letter j.

f(jp1) = j(a+b, b+c)
fj(p1) = j(ax2+bx+c)

j(a+b, b+c) ≠ j(ax2+bx+c)

Second condition not met, unless there is some other way to write the j(ax2+bx+c) polynomial which I'm unaware of.
 
  • #8
says said:
f: p2 to R2, f(ax2+bx+c) = (a+b, b+c)

p1: ax2+bx+c
p2: dx2+ex+g

(p1+p2) = ((a+d)+(b+e)+(c+g))
No, (p1+ p2)= (a+d)x2+ (b+ e)x+ (c+ g)

f(p1+p2) = (a+b+d+e, b+c+e+g)

f(p1) = (a+b, b+c)
f(p2) = (d+e, e+g)

f(p1+p2) = f(p1) + f(p2)
f(p1+p2) = (a+b+d+e, b+c+e+g) = (a+b, b+c) + (d+e, e+g)

First condition met!

replacing the term c with the letter j.

f(jp1) = j(a+b, b+c)
fj(p1) = j(ax2+bx+c)
"fj(p1)" makes no sense. It looks like you have a new function "fj" that you have not defined. If you mean "j times f(p1)" that would be jf(p1) or f(p1)j.

j(a+b, b+c) ≠ j(ax2+bx+c)

Second condition not met, unless there is some other way to write the j(ax2+bx+c) polynomial which I'm unaware of.
It is difficult to understand what you are doing because your notation is so bad. What you have here is NOT that f(jp1) is not equal to jf(p1) but that jf(p1) is not equal to jp1- and that has nothing to do with f being a linear transformation.

Given p1= ax2+ bx+ c then jp1= ajx2+ bjx+ cj and then f(jp1)= (aj+ bj, bj+ cj). Of course, jf(p1)= j(a+ b, b+ c)= (j(a+b),j(b+ c))= (aj+ bj, bj+ cj).[/sup][/sup]
 
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  • #9
says said:
f: p2 to R2, f(ax2+bx+c) = (a+b, b+c)

p1: ax2+bx+c
p2: dx2+ex+g

(p1+p2) = ((a+d)+(b+e)+(c+g))
f(p1+p2) = (a+b+d+e, b+c+e+g)
You're skipping steps again. p1 + p2 is the sum of the two polynomials, so that ( p1 + p2)(x) = (a + d)x2 + (b + e)x + (c + g)
says said:
f(p1) = (a+b, b+c)
f(p2) = (d+e, e+g)

f(p1+p2) = f(p1) + f(p2)
Don't write the above, since that's what you're trying to show. Calculate f(p1 + p2) and f(p1) + f(p2) separately. If these two expressions turn out to be equal, you will have established that f(p1+p2) = f(p1) + f(p2).
says said:
f(p1+p2) = (a+b+d+e, b+c+e+g) = (a+b, b+c) + (d+e, e+g)

First condition met!

replacing the term c with the letter j.

f(jp1) = j(a+b, b+c)
fj(p1) = j(ax2+bx+c)
Again, you're skipping steps, plus your notation is hard to understand (HallsOfIvy couldn't follow it).

Instead of j, use a different letter for the scalar, say, k.
You want to show that f(k*p1) = k * f(p1).
Do this by calculating f(k * p1), and then k * f(p1).

For the first one, don't skip steps. Calculate k * p1, and then f(k * p1). Compare that to k * f(p1) to see whether they are equal.
says said:
j(a+b, b+c) ≠ j(ax2+bx+c)

Second condition not met, unless there is some other way to write the j(ax2+bx+c) polynomial which I'm unaware of.
 
  • #10
Sorry, I knew they were the sum of the two polynomials, i just didn't write them in.

(p1 + p2) = (a + d)x2+ (b + e)x + (c + g)

f(p1) = (ax2+bx, bx+c)
f(p2) = (dx2+ex, ex+g)

f(p1+p2) = (ax2+dx2+bx+ex, bx+ex+c+g)

(ax2+dx2+bx+ex, bx+ex+c+g) = (ax2+bx, bx+c) + (dx2+ex, ex+g)

First condition met.
 
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  • #11
p1=ax2+bx+c

k*p1 = kax2+kbx+kc

f(k*p1) = (kax2+kbx, kbx+kc)

f(p1) = (ax2+bx, bx+c)

k*f(p1) = (kax2+kbx, kbx+kc)

Second condition met.
 
  • #12
says said:
Sorry, I knew they were the sum of the two polynomials, i just didn't write them in.

(p1 + p2) = (a + d)x2+ (b + e)x + (c + g)
OK, except the left side is really (p1 + p2)(x).
says said:
f(p1) = (ax2+bx, bx+c)
f(p2) = (dx2+ex, ex+g)
No. f(p1) is a vector in R2, as is f(p2). x should not appear on the right sides of these two equations.
You need to recalculate f(p1) and f(p2).
says said:
f(p1+p2) = (ax2+dx2+bx+ex, bx+ex+c+g)
No.
You have (p1 + p2)(x) = ##(a + d)x^2 + (b + e)x + (c + g)##, and ##f(rx^2 + sx + t) = <r + s, s + t>##, based on how f is defined in post #1.
Try again at calculating f( (p1 + p2)(x)).
says said:
(ax2+dx2+bx+ex, bx+ex+c+g) = (ax2+bx, bx+c) + (dx2+ex, ex+g)

First condition met.
 
  • #13
says said:
p1=ax2+bx+c

k*p1 = kax2+kbx+kc

f(k*p1) = (kax2+kbx, kbx+kc)
No. You're still skipping steps.
f(k * p1) = ##f(kax^2 + kbx + kc)## = ?
What does f do to an input polynomial? Again, x should NOT appear in the output of this function.
says said:
f(p1) = (ax2+bx, bx+c)

k*f(p1) = (kax2+kbx, kbx+kc)

Second condition met.
Nope.
 
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  • #14
f(k*p1) = (ka+kb, kb+kc)

f(p1) = (a+b, b+c)

k*f(p1) = k(a+b, b+c) = (((k(a+b),(k(b+c)))
 
  • #15
says said:
f(k*p1) = (ka+kb, kb+kc)

f(p1) = (a+b, b+c)

k*f(p1) = k(a+b, b+c) = (((k(a+b),(k(b+c)))
So is f(k*p1) = k * f(p1)?

What about the other part, showing that f(p1 + p2) = f(p1) + f(p2)?
 
  • #16
Yes, the second condition is met.f(ax2+bx+c+dx2+ex+g) = (a+d+b+e, b+e+c+g)

f(p1) = (a+b, b+c)
f(p2) = (d+e, e+g)

f(p1) + f(p2) = (a+b, b+c) + (d+e, e+g) = (a+b+d+e, b+c+e+g)

The first condition is met.
 
  • #17
says said:
Yes, the second condition is met.
Better would be to actually show your work that supports saying that f(k*p1) = k * f(p1).
says said:
f(ax2+bx+c+dx2+ex+g) = (a+d+b+e, b+e+c+g)

f(p1) = (a+b, b+c)
f(p2) = (d+e, e+g)

f(p1) + f(p2) = (a+b, b+c) + (d+e, e+g) = (a+b+d+e, b+c+e+g)

The first condition is met.
Yes. You could summarize what you found by saying that you have shown that f(p1 + p2) = f(p1) + f(p2)
 

1. What is a linear transformation from p2 to R2?

A linear transformation from p2 to R2 is a mathematical process that maps a vector from the two-dimensional polynomial space (p2) to the two-dimensional real space (R2). This transformation is represented by a matrix and follows certain rules and properties, such as preserving vector addition and scalar multiplication.

2. How is a linear transformation from p2 to R2 represented?

A linear transformation from p2 to R2 is represented by a 2x2 matrix, where the first column represents the transformation of the x-coordinate and the second column represents the transformation of the y-coordinate. The transformation can be written as T(x,y) = [a b; c d] * [x; y], where [a b; c d] is the transformation matrix and [x; y] is the vector in p2.

3. What does it mean for a linear transformation from p2 to R2 to be invertible?

A linear transformation from p2 to R2 is invertible if there exists a transformation matrix that can map the vectors from R2 back to p2. In other words, the transformation can be reversed and the original vector in p2 can be obtained. This inverse transformation matrix is found by taking the inverse of the original transformation matrix.

4. Can a linear transformation from p2 to R2 change the dimension of a vector?

No, a linear transformation from p2 to R2 cannot change the dimension of a vector. The transformation only maps vectors from one space to another, but the dimension of the vector remains the same. For example, a vector in p2 with two components will still have two components in R2 after the transformation.

5. How are linear transformations from p2 to R2 used in real-life applications?

Linear transformations from p2 to R2 have various applications in fields such as computer graphics, physics, and engineering. They are used to transform objects in two-dimensional space, such as images or shapes, and to model physical phenomena, such as transformations in forces or motion. They are also used in data analysis and machine learning to identify patterns and relationships between variables.

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