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

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The discussion centers on defining a linear operator T on the space of polynomials Pn and determining the dimension of its null space, N(T). It is established that the null space consists of polynomials of degree less than k, leading to the conclusion that the dimension of N(T) is k. The standard basis for Pn is identified as {1, x, x², ..., x^n}, and the basis for N(T) is determined to be {1, x, x², ..., x^(k-1)}. This confirms that dim(N(T)) = k, as the null space includes all polynomials with degree k-1 or less. The proof is clarified and accepted by participants in the discussion.
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Define ne a linear operator T : Pn \rightarrow Pn by
T(p(x)) = \frac{d^{k}x}{dx^{n}}p(x)
where 1 \leqk \leqn. Show that dim(N(T)) = k.

i. The null space of a linear operator is all vectors v \in 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 \rightarrow Pn by
T(p(x)) = \frac{d^{k}x}{dx^{n}}p(x)
where 1 \leqk \leqn. 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 \in 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^{2},...,x^{n}} be the standard basis for P_{n}. 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^{2},...,x^{k-1}] 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^{2},...,x^{n}} be the standard basis for P_{n}. 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^{2},...,x^{k-1}] 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:
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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