Understanding the Dimension of Null Space for Linear Operator T in Pn

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Homework Help Overview

The discussion revolves around understanding the dimension of the null space of a linear operator T defined on polynomials of degree n. The operator is expressed in terms of derivatives, and participants are tasked with showing that the dimension of the null space, dim(N(T)), equals k, where k is a specified integer within a certain range.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the definition of the null space and its relation to polynomial degrees. Some express confusion about the nature of the null space, questioning whether it includes all k derivatives or specific polynomials. Others suggest that the null space consists of polynomials of degree less than k.

Discussion Status

The discussion is active, with participants providing insights and questioning each other's reasoning. One participant has proposed a basis for the null space and believes they have reached a clearer understanding, while others have offered corrections and clarifications regarding the definitions involved.

Contextual Notes

Participants are working under the constraints of polynomial degree definitions and the properties of linear operators. There is an ongoing examination of assumptions related to the degrees of polynomials in relation to the operator T.

Mr.Tibbs
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Define ne a linear operator T : Pn [itex]\rightarrow[/itex] Pn by
T(p(x)) = [itex]\frac{d^{k}x}{dx^{n}}[/itex]p(x)
where 1 [itex]\leq[/itex]k [itex]\leq[/itex]n. Show that dim(N(T)) = k.

i. The null space of a linear operator is all vectors v [itex]\in[/itex] V such that T(v) = 0

ii. The dimension of a vector space V, is the number of vectors in any basis of V.

My logical understanding is that the null space of T is any k derivative that gives 0 i.e. k is bigger than n. Thus the dimension has k number of possible vectors. My problem is I don't know how to write the proof. . . I'm assuming that I just have to write the null space as a summation of derivatives from 1 to k thus the dimension of the null is k (the largest possible number).
 
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Mr.Tibbs said:
Define ne a linear operator T : Pn [itex]\rightarrow[/itex] Pn by
T(p(x)) = [itex]\frac{d^{k}x}{dx^{n}}[/itex]p(x)
where 1 [itex]\leq[/itex]k [itex]\leq[/itex]n. Show that dim(N(T)) = k.

I assume you mean ##\frac {d^k x}{dx^k}p(x)##. Or for easy display, ##D^kp(x)##.

i. The null space of a linear operator is all vectors v [itex]\in[/itex] V such that T(v) = 0

ii. The dimension of a vector space V, is the number of vectors in any basis of V.

My logical understanding is that the null space of T is any k derivative that gives 0

No. The null space isn't "any k derivative". The null space is a subspace of your nth degree polynomials.

i.e. k is bigger than n. Thus the dimension has k number of possible vectors. My problem is I don't know how to write the proof. . . I'm assuming that I just have to write the null space as a summation of derivatives from 1 to k thus the dimension of the null is k (the largest possible number).

No again, the null space is not a "summation of derivatives". For example if ##n=5## so you are considering polynomials of degree ##5##, and you operate on them with ##D^2##, which ones would map to the zero polynomial?
 
Awesome! So I've been sitting here and had an epiphany. . . I think. . . so here is what I came up with.

Let B = {1,x,x[itex]^{2}[/itex],...,x[itex]^{n}[/itex]} be the standard basis for P[itex]_{n}[/itex]. Since p(x) is in the N(T) iff it's degree is < k, then the null space is all the polynomials with degree k-1 or less, thus [1,x,x[itex]^{2}[/itex],...,x[itex]^{k-1}[/itex]] is a basis for N(T),

and the dim(N(T)) = k


:) I think I have it what do you think?
 
Mr.Tibbs said:
Awesome! So I've been sitting here and had an epiphany. . . I think. . . so here is what I came up with.

Let B = {1,x,x[itex]^{2}[/itex],...,x[itex]^{n}[/itex]} be the standard basis for P[itex]_{n}[/itex]. Since p(x) is in the N(T) iff it's degree is < k, then the null space is all the polynomials with degree k-1 or less, thus [1,x,x[itex]^{2}[/itex],...,x[itex]^{k-1}[/itex]] is a basis for N(T),

and the dim(N(T)) = k


:) I think I have it what do you think?

I think that's much better. :smile:
 

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