Kernel, Basis, Rank: Hints & Answers

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Homework Help Overview

The discussion revolves around concepts related to linear transformations, specifically focusing on the kernel, basis, and rank of a differential operator. Participants are examining the properties of the operator D applied to polynomials, particularly in the context of polynomial spaces.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the dimensions of the kernel and rank of the operator D, with some suggesting the use of the rank-nullity theorem. Questions arise regarding the correct interpretation of the dimensions of polynomial spaces and the implications of differentiating polynomials multiple times.

Discussion Status

There is an active exploration of the relationships between the kernel and rank of the operator, with some participants providing hints and guidance on how to approach the explanations. Multiple interpretations of the problem are being discussed, particularly regarding the dimensionality of the polynomial space and the behavior of the operator D.

Contextual Notes

Participants note that the problem is abstract and conceptual, with some expressing uncertainty about how to articulate their reasoning. The discussion includes references to specific polynomial bases and the implications of differentiating polynomials beyond their degree.

victoranderson
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Please see attached question
In my opinion this question is conceptional and abstract..

For part a and b,
I think dim(Ker(D)) = 1 and Rank(D) = n
but I do not know how to explain them

For part c
What I can think of is if we differentiate f(x) by n+1 times
then we will get 0

Can somebody give me some hints, please?
 

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victoranderson said:
Please see attached question
In my opinion this question is conceptional and abstract..

For part a and b,
I think dim(Ker(D)) = 1 and Rank(D) = n
but I do not know how to explain them

For part c
What I can think of is if we differentiate f(x) by n+1 times
then we will get 0

Can somebody give me some hints, please?

dim(ker(D))=1, yes. Rank(D)=n, also right. I think you should start by writing down a basis for ##P_n##. Use that to try and explain.
 
Last edited:
Why is Rank(D) not = n? Pn has dimension n+1.
 
PeroK said:
Why is Rank(D) not = n? Pn has dimension n+1.

It does. I miscounted. Sorry. I edited the original answer.
 
victoranderson said:
Please see attached question
In my opinion this question is conceptional and abstract.
I don't think that's a bad thing, is it? :-p

victoranderson said:
For part a and b,
I think dim(Ker(D)) = 1 and Rank(D) = n
but I do not know how to explain them
For part (a), what are the only polynomials with derivative zero?

For part (b), we have a couple options. The easiest way is by our rank-nullity theorem.

victoranderson said:
For part c
What I can think of is if we differentiate f(x) by n+1 times
then we will get 0
Again, look at the kernel.
 
Just figure out what a basis is..

Basis of P = ##{x^n,x^{n-1},...,x,1}##

Kernel is everything that gets mapped to 0
The only polynomial with derivative 0 is ##a_0##, with basis 1
so basis for kernel D is 1

Is this a correct explanation?
 
Last edited:
(b) null (D) = 1
since dim(##P_n##)=n+1
by rank-nullity theorem, rank (D) = n
Pretty sure this explanation is correct
 
For part (c)

I think the matrix D is look like (see attached)
but how does we relate to D^(n+1)?
 

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victoranderson said:
Just figure out what a basis is..

Basis of P = ##{x^n,x^{n-1},...,x,1}##

Kernel is everything that gets mapped to 0
The only polynomial with derivative 0 is ##a_0##, with basis 1
so basis for kernel D is 1

Is this a correct explanation?

Best to say the basis for kernel(D) is {1} because it's a set. But yes, correct.

victoranderson said:
(b) null (D) = 1
since dim(##P_n##)=n+1
by rank-nullity theorem, rank (D) = n
Pretty sure this explanation is correct

Also correct.

victoranderson said:
For part (c)

I think the matrix D is look like (see attached)
but how does we relate to D^(n+1)?

What the matrix looks like depends on which components of the vector correspond to which basis elements. Yours is where the topmost element of the vector corresponds to the coefficient of x^n. But, yes, it's fine. D^(n+1) is just that matrix multiplied by itself n+1 times. What's the result?
 
  • #10
Dick said:
Best to say the basis for kernel(D) is {1} because it's a set. But yes, correct.

Also correct.

What the matrix looks like depends on which components of the vector correspond to which basis elements. Yours is where the topmost element of the vector corresponds to the coefficient of x^n. But, yes, it's fine. D^(n+1) is just that matrix multiplied by itself n+1 times. What's the result?

Obviously, D^(n+1) = 0
but how to show it? Is there any suitable method except showing by induction?
 
  • #11
victoranderson said:
Obviously, D^(n+1) = 0
but how to show it? Is there any suitable method except showing by induction?

You could argue it's true just by using what you know about derivatives. Also your matrix has zeros along the diagonal and is only nonzero along the first subdiagonal. If you look at D^2 that's zero everywhere except along the second subdiagonal. By the time you get to D^(n+1) you'll run out a subdiagonals. I don't think it needs a formal induction argument.
 

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