Let [itex]V= \mathbb{R}_3[x][/itex] be the vector space of polynomials

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Homework Help Overview

The discussion revolves around the application of the Rank-nullity theorem in the context of the vector space of polynomials with real coefficients of degree at most 3, denoted as V = ℝ₃[x]. Participants are examining the linear operator D, which takes the derivative of polynomials in this space.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants are attempting to verify the Rank-nullity theorem and are questioning the injectivity and surjectivity of the derivative operator D. There is discussion about the nature of the kernel and image of D, with some participants suggesting that D is not surjective due to the restriction on polynomial degrees.

Discussion Status

The discussion is ongoing, with participants exploring different interpretations of the Rank-nullity theorem in relation to the properties of the operator D. Some have provided clarifications regarding the dimensions of the kernel and image, and there is acknowledgment of the need to reassess the definitions and assumptions regarding the polynomial space.

Contextual Notes

There is mention of nonstandard notation in the problem, with some participants suggesting that the space of real polynomials of degree less than n is typically referred to as Pn, which may lead to confusion in the context of this discussion.

Ted123
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Let [itex]V= \mathbb{R}_3[x][/itex] be the vector space of polynomials with real coefficients with degree at most 3 and let [itex]D:V\to V[/itex] be the linear operator of taking derivatives, [itex]D(f)=f'[/itex].

I'm trying to check the Rank-nullity theorem for this example but it doesn't seem to hold:

Since [itex]D[/itex] is not injective (e.g. images of [itex]x^2[/itex] and [itex]x^2+1[/itex] are both [itex]2x[/itex]), [itex]\text{Ker}(D)\neq \{ \bf{0} \}[/itex]. (The kernel is actually all the constant polynomials).

Since [itex]D[/itex] is surjective (as every polynomial is the derivative of some other polynomial), [itex]\text{Im}(D)=V=\mathbb{R}_3[x][/itex].

Now the Rank-nullity formula is:

[itex]\text{dim}(\text{Ker}(D)) + \text{dim}(\text{Im}(D)) = \text{dim}(V)[/itex].

But [itex]\text{dim}(\text{Im}(D)) = \text{dim}(\mathbb{R}_3[x]) = 4 = \text{dim}(V)[/itex]

so if the Rank-nullity formula holds this would imply [itex]\text{dim}(\text{Ker}(D))=0[/itex] but it doesn't as [itex]D[/itex] is not injective, so what's going on?

EDIT: D is not surjective! How do I find a basis for the Kernel and Image?
 
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Ted123 said:
Let [itex]V= \mathbb{R}_3[x][/itex] be the vector space of polynomials with real coefficients with degree at most 3 and let [itex]D:V\to V[/itex] be the linear operator of taking derivatives, [itex]D(f)=f'[/itex].

I'm trying to check the Rank-nullity theorem for this example but it doesn't seem to hold:

Since [itex]D[/itex] is not injective (e.g. images of [itex]x^2[/itex] and [itex]x^2+1[/itex] are both [itex]2x[/itex]), [itex]\text{Ker}(D)\neq \{ \bf{0} \}[/itex]. (The kernel is actually all the constant polynomials).

Since [itex]D[/itex] is surjective (as every polynomial is the derivative of some other polynomial), [itex]\text{Im}(D)=V=\mathbb{R}_3[x][/itex].
Your mistake is here. Im(D) != R3. The image of a polynomial of degree 3 is a polynomial of degree 2, so Im(D) does not contain 3rd degree polynomials, hence D is not onto (surjective).

BTW, the notation used in this problem seems nonstandard to me. The space of real polynomials of degree less than n is often called Pn. So your space would normally be called P4. At least, that's the notation I've seen most often.
Ted123 said:
Now the Rank-nullity formula is:

[itex]\text{dim}(\text{Ker}(D)) + \text{dim}(\text{Im}(D)) = \text{dim}(V)[/itex].

But [itex]\text{dim}(\text{Im}(D)) = \text{dim}(\mathbb{R}_3[x]) = 4 = \text{dim}(V)[/itex]

so if the Rank-nullity formula holds this would imply [itex]\text{dim}(\text{Ker}(D))=0[/itex] but it doesn't as [itex]D[/itex] is not injective, so what's going on?

EDIT: D is not surjective! How do I find a basis for the Kernel and Image?
 


Mark44 said:
Your mistake is here. Im(D) != R3. The image of a polynomial of degree 3 is a polynomial of degree 2, so Im(D) does not contain 3rd degree polynomials, hence D is not onto (surjective).

BTW, the notation used in this problem seems nonstandard to me. The space of real polynomials of degree less than n is often called Pn. So your space would normally be called P4. At least, that's the notation I've seen most often.

Yeah I realized that restricting the degrees of the polynomials made D not surjective.

So with this notation does [itex]\text{Im}(D) = \mathbb{R}_2[x][/itex] (i.e. Polynomials in x with real coefficients with degree at most 2)?

We know [itex]\text{Ker}(D)=\{ \text{constant polynomials} \}[/itex] so to describe all the bases of [itex]\text{Ker}(D)[/itex] can I just say the set of singletons [itex]\{k\}[/itex] where [itex]k\in\mathbb{R} \setminus \{0\}[/itex] ? So [itex]\text{Ker}(D)[/itex] has dimension 1.

And [itex]\text{Im}(D) = \mathbb{R}_2[x][/itex] so a basis for the image is [itex]\{1,x,x^2 \}[/itex] with dimension 3. Then 1+3=4=dim(V) so the Rank-nullity formula is satisfied.
 


Ted123 said:
Yeah I realized that restricting the degrees of the polynomials made D not surjective.

So with this notation does [itex]\text{Im}(D) = \mathbb{R}_2[x][/itex] (i.e. Polynomials in x with real coefficients with degree at most 2)?
Yes.
Ted123 said:
We know [itex]\text{Ker}(D)=\{ \text{constant polynomials} \}[/itex] so to describe all the bases of [itex]\text{Ker}(D)[/itex] can I just say the set of singletons [itex]\{k\}[/itex] where [itex]k\in\mathbb{R} \setminus \{0\}[/itex] ? So [itex]\text{Ker}(D)[/itex] has dimension 1.
Yes, Ker(D) has dimension 1. You don't need to (and shouldn't) exclude the 0 polynomial.
Ted123 said:
And [itex]\text{Im}(D) = \mathbb{R}_2[x][/itex] so a basis for the image is [itex]\{1,x,x^2 \}[/itex] with dimension 3. Then 1+3=4=dim(V) so the Rank-nullity formula is satisfied.
 

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