Linear Transformations for Polynomials: Onto vs. One-to-One

In summary, we are looking for linear transformations from the vector space P of all polynomials to itself that are onto but not one-to-one, and one-to-one but not onto. Some examples of functions that meet these criteria are A(x)=x^2 and B(x)=x+1, respectively.
  • #1
greendays
17
0
write P for the vector space of all polynomials, a[itex]_{0}[/itex]+a[itex]_{1}[/itex]x+a[itex]_{2}[/itex]x[itex]^{2}[/itex]+...+a[itex]_{n}[/itex]x[itex]^{n}[/itex], , a[itex]_{0}[/itex], a[itex]_{1}[/itex],...,a[itex]_{n}[/itex][itex]\in[/itex]R, n=0,1,2...

1. Find a linear transformation P->P that is onto but not one-to one
2. Find such a linear transformation, that is one-to-one but not onto

I have been thinking about this question for a long time, but still could not come up with some thoughts, can someone give me some hints?

Thanks in advance!
 
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  • #2
So if it is onto, the linear combination should have infinitely many solutions?
If it is one-to-one, then the linear combination should have only one solution?
 
  • #3
No. First, it doesn't make sense to say that a linear combination has solutions. What I think you are referring to are the solutions to the equation ##a_0+a_1 x+ a_2 x^2 + \cdots a_n x^n = 0##. But this has nothing to do with the problem at hand.

What you have is P, the set of all polynomials, and you're trying to find functions that map a polynomial f(x), which is an element of P, to another polynomial g(x), which is also an element of P. For example, say function A: P→P maps a polynomial f(x) to the polynomial f(x)+1. Then
\begin{align*}
A(1) &= 2 \\
A(10x-4) &= 10x-3 \\
A(x^2) &= x^2+1
\end{align*} for instance. You can show that A is one-to-one and onto, but it's not linear. You need to figure out some functions from P to P which will meet the specified criteria.
 
  • #4
vela said:
No. First, it doesn't make sense to say that a linear combination has solutions. What I think you are referring to are the solutions to the equation ##a_0+a_1 x+ a_2 x^2 + \cdots a_n x^n = 0##. But this has nothing to do with the problem at hand.

What you have is P, the set of all polynomials, and you're trying to find functions that map a polynomial f(x), which is an element of P, to another polynomial g(x), which is also an element of P. For example, say function A: P→P maps a polynomial f(x) to the polynomial f(x)+1. Then
\begin{align*}
A(1) &= 2 \\
A(10x-4) &= 10x-3 \\
A(x^2) &= x^2+1
\end{align*} for instance. You can show that A is one-to-one and onto, but it's not linear. You need to figure out some functions from P to P which will meet the specified criteria.

Thanks very much for your input, vela.
But how did you get A(1)=2?
 
  • #5
vela said:
No. First, it doesn't make sense to say that a linear combination has solutions. What I think you are referring to are the solutions to the equation ##a_0+a_1 x+ a_2 x^2 + \cdots a_n x^n = 0##. But this has nothing to do with the problem at hand.

What you have is P, the set of all polynomials, and you're trying to find functions that map a polynomial f(x), which is an element of P, to another polynomial g(x), which is also an element of P. For example, say function A: P→P maps a polynomial f(x) to the polynomial f(x)+1. Then
\begin{align*}
A(1) &= 2 \\
A(10x-4) &= 10x-3 \\
A(x^2) &= x^2+1
\end{align*} for instance. You can show that A is one-to-one and onto, but it's not linear. You need to figure out some functions from P to P which will meet the specified criteria.

Say function T:A-->B, if onto but not one-to-one, then every element from B from get mapped to from A. If one-to-one but not onto, then some or every element from B get mapped to from A? But how can I come up with the function then?:confused:
 
  • #6
greendays said:
Thanks very much for your input, vela.
But how did you get A(1)=2?
1+1 = 2

greendays said:
Say function T:A-->B, if onto but not one-to-one, then every element from B from get mapped to from A. If one-to-one but not onto, then some or every element from B get mapped to from A? But how can I come up with the function then?:confused:
Here is a simple example. Let f:ℤ→ℤ be the mapping that takes n to 2n. This function is one-to-one; however, it does not map onto ℤ because its image, f(ℤ), doesn't contain the odd integers.
 
  • #7
vela said:
1+1 = 2


Here is a simple example. Let f:ℤ→ℤ be the mapping that takes n to 2n. This function is one-to-one; however, it does not map onto ℤ because its image, f(ℤ), doesn't contain the odd integers.

Hmmm, let f: P-->P be the mapping that takes x to x[itex]^{2}[/itex], this function is onto but not one-to-one? (Is this correct for this question?)

I still cannot think of a function that is one-to-one, but not onto:confused:
 
  • #8
I don't think you understood the point I made in my first reply to you. You need to get that down before you can go onto the rest of the problem.
 
  • #9
vela said:
No. First, it doesn't make sense to say that a linear combination has solutions. What I think you are referring to are the solutions to the equation ##a_0+a_1 x+ a_2 x^2 + \cdots a_n x^n = 0##. But this has nothing to do with the problem at hand.

What you have is P, the set of all polynomials, and you're trying to find functions that map a polynomial f(x), which is an element of P, to another polynomial g(x), which is also an element of P. For example, say function A: P→P maps a polynomial f(x) to the polynomial f(x)+1. Then
\begin{align*}
A(1) &= 2 \\
A(10x-4) &= 10x-3 \\
A(x^2) &= x^2+1
\end{align*} for instance. You can show that A is one-to-one and onto, but it's not linear. You need to figure out some functions from P to P which will meet the specified criteria.

I thought I understood what u meant:redface:
For my question, say a function A: P→P maps a polynomial f(x) to the polynomial f(x). Then
A(x)=x[itex]^{2}[/itex]
A(x+2)=(x+2)[itex]^{2}[/itex]
So this function is onto, but not one-to-one?:rolleyes:
 
  • #10
greendays said:
Hmmm, let f: P-->P be the mapping that takes x to x[itex]^{2}[/itex], this function is onto but not one-to-one? (Is this correct for this question?)
Note that x and x2 are elements of P. So what you wrote above doesn't mean the same thing as what you wrote below.

greendays said:
I thought I understood what u meant:redface:
For my question, say a function A: P→P maps a polynomial f(x) to the polynomial f(x). Then
A(x)=x[itex]^{2}[/itex]
A(x+2)=(x+2)[itex]^{2}[/itex]
So this function is onto, but not one-to-one?:rolleyes:
How do you get that A is onto? For example, the function f(x)=x is in P, right? What polynomial when squared is equal to x? There isn't one, so A can't be surjective.
 
  • #11
vela said:
Note that x and x2 are elements of P. So what you wrote above doesn't mean the same thing as what you wrote below.


How do you get that A is onto? For example, the function f(x)=x is in P, right? What polynomial when squared is equal to x? There isn't one, so A can't be surjective.

Hi vela,

Can you give me hints on this question? I have been thinking about it over and over again, but still can not figure it out:frown:
 
  • #12
Let's step back for a second. Consider functions from ℝ2 to ℝ2. Can you give an example of a function that is 1-1 but not onto and one that is onto but not 1-1?
 
  • #13
f(x)=2x+1 is 1-1 but not onto?
 
  • #14
vela said:
Let's step back for a second. Consider functions from ℝ2 to ℝ2. Can you give an example of a function that is 1-1 but not onto and one that is onto but not 1-1?

no, I don't think I got the idea, so confused:cry:
 
  • #15
What are the definitions of a one-to-one function and an onto function? It doesn't seem like you know those.
 
  • #16
vela said:
What are the definitions of a one-to-one function and an onto function? It doesn't seem like you know those.

Let T: V[itex]\rightarrow[/itex]W be a linear transformation.

1. T is said to be onto if I am T=W.

2. T is said to be one-to-one if T (v)=T(v[itex]_{1}[/itex]) implies v=v[itex]_{1}[/itex].

I think I understand the definitions, it just seems so hard to apply them into questions:frown:
 
  • #17
OK, suppose f:ℝ→ℝ is given by f(x)=2x+1. This isn't a linear function, but that doesn't matter here. It turns out this function is both one-to-one and onto.

To show it's one-to-one, suppose f(x)=f(y). That means 2x+1=2y+1, which implies x=y.

To show it's onto, let ##y \in \mathbb{R}##. You want to show there is an ##x \in \mathbb{R}## such that f(x)=y. That's easy enough to do. Just solve 2x+1=y for x.

Does this make sense?
 
  • #18
vela said:
OK, suppose f:ℝ→ℝ is given by f(x)=2x+1. This isn't a linear function, but that doesn't matter here. It turns out this function is both one-to-one and onto.

To show it's one-to-one, suppose f(x)=f(y). That means 2x+1=2y+1, which implies x=y.

To show it's onto, let ##y \in \mathbb{R}##. You want to show there is an ##x \in \mathbb{R}## such that f(x)=y. That's easy enough to do. Just solve 2x+1=y for x.

Does this make sense?

yes, but back to the original question, how do you approach that question? I mean I know the definitions, but how to apply them to that question?
 
  • #19
Can you answer the question I asked in post 12?
 
  • #20
vela said:
Can you answer the question I asked in post 12?

I tried to answer it in post 13, as I mentioned, I know the definitions, but have no clue how to use them.
 
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  • #21
If you don't know how to use them, you don't really know the definitions. Post 17 is an example of how to use them. Just consider plain old functions from ℝ to ℝ. Give an example of each type of function and explain/prove why you think a function is 1-1 or onto.
 

FAQ: Linear Transformations for Polynomials: Onto vs. One-to-One

What is a linear transformation for polynomials?

A linear transformation for polynomials is a function that maps one polynomial to another polynomial in a linear fashion. This means that the output of the transformation is equal to the sum of the individual transformations of each term in the polynomial.

What does it mean for a linear transformation to be onto?

A linear transformation is onto if every element in the range is mapped to by at least one element in the domain. In other words, the transformation covers all possible outputs.

What does it mean for a linear transformation to be one-to-one?

A linear transformation is one-to-one if each element in the range is mapped to by only one element in the domain. This means that there are no repeated outputs.

How can I determine if a linear transformation for polynomials is onto or one-to-one?

To determine if a linear transformation for polynomials is onto, you can check if the range contains all possible outputs. To determine if it is one-to-one, you can check if there are any repeated outputs in the range.

What is the significance of knowing if a linear transformation for polynomials is onto or one-to-one?

Knowing if a linear transformation for polynomials is onto or one-to-one can help in understanding the behavior of the function and its relationship between the input and output. For example, if a transformation is onto, it means that every output has a corresponding input, which can be useful in solving equations. If a transformation is one-to-one, it means that each input has a unique output, which can be helpful in simplifying expressions and finding inverse functions.

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