Eigenvector and eigenvalue for differential operator

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Discussion Overview

The discussion revolves around finding eigenvectors and eigenvalues for the differential operator defined on the vector space of real-coefficient polynomials of degree at most 3. Participants explore the implications of the operator and the conditions under which polynomials can be considered eigenvectors.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that the polynomial $p(x) = \frac{x^2}{2}$ could be an eigenvector for the operator $D$, leading to the equation $\frac{d}{dx}p(x) = \lambda p(x)$.
  • Others argue that $D\Big(\frac{x^2}{2}\Big) = x$, which does not satisfy the eigenvector condition since it is not a scalar multiple of $p(x)$.
  • A participant suggests considering a generic polynomial $p(x) = ax^3 + bx^2 + cx + d$ to analyze the eigenvalue equation $D(p(x)) = \lambda p(x)$ and asks what solutions can be found for $\lambda$ and the coefficients.
  • Another participant notes the difficulty in solving for the coefficients without knowing if $\lambda$, $a$, $b$, $c$, and $d$ are nonzero.
  • One participant introduces two cases for $\lambda$: $\lambda = 0$ and $\lambda \ne 0$, prompting further discussion on the implications for the coefficients of the polynomial.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the eigenvector and eigenvalue problem. There are multiple competing views regarding the validity of $p(x) = \frac{x^2}{2}$ as an eigenvector, and the discussion remains unresolved regarding the specific solutions for $\lambda$ and the coefficients.

Contextual Notes

Participants express uncertainty about the conditions under which the coefficients of the polynomial can be assumed to be nonzero, which affects the ability to solve the eigenvalue problem. The discussion also highlights the need for matching coefficients in the polynomial equation.

kalish1
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My friends and I have been struggling with the following problem, and don't understand how to do it. We have gotten several different answers, but none of them make sense. Can you help us?

**Problem statement:** Let $V$ be the vector space of real-coefficient polynomials of degree at most $3$. Let $D:V \rightarrow V$ be the differential operator; $D(p(x))=\frac{d}{dx}p(x)$. Give an example of an eigenvector for $D$. What is the corresponding eigenvalue?

We ended up getting that $\frac {d}{dx}p(x)=\lambda p(x)$, so that $p(x)=\frac{x^2}{2}$. Is this correct?

Thanks.
 
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kalish said:
My friends and I have been struggling with the following problem, and don't understand how to do it. We have gotten several different answers, but none of them make sense. Can you help us?

**Problem statement:** Let $V$ be the vector space of real-coefficient polynomials of degree at most $3$. Let $D:V \rightarrow V$ be the differential operator; $D(p(x))=\frac{d}{dx}p(x)$. Give an example of an eigenvector for $D$. What is the corresponding eigenvalue?

We ended up getting that $\frac {d}{dx}p(x)=\lambda p(x)$, so that $p(x)=\frac{x^2}{2}$. Is this correct?

Thanks.

I don't think so, since:
$$D\Big(\frac{x^2}{2}\Big) = x \ne \lambda \cdot \frac{x^2}{2}$$

Let's pick a generic polynomial in V:
$$p(x) = ax^3 + bx^2 + cx + d$$
where $a, b, c, d \in \mathbb R$.

Then we have:
$$D(p(x)) = \lambda p(x)$$
$$3ax^2 + 2bx + c = \lambda ax^3 + \lambda bx^2 + \lambda cx + \lambda d$$
Which solutions can you find for $\lambda$? And for $a, b, c, d$?
 
kalish said:
My friends and I have been struggling with the following problem, and don't understand how to do it. We have gotten several different answers, but none of them make sense. Can you help us?

**Problem statement:** Let $V$ be the vector space of real-coefficient polynomials of degree at most $3$. Let $D:V \rightarrow V$ be the differential operator; $D(p(x))=\frac{d}{dx}p(x)$. Give an example of an eigenvector for $D$. What is the corresponding eigenvalue?

We ended up getting that $\frac {d}{dx}p(x)=\lambda p(x)$, so that $p(x)=\frac{x^2}{2}$. Is this correct?
$p(x) = \frac{x^2}{2}$ is not an eigenvector, because $D(p(x)) = x$, which is not a scalar multiple of $p(x)$.

You might find it helpful to represent the operator $D$ by a matrix. Take the set $\{x^3,x^2,x,1\}$ to be a basis for $V$. Then the matrix of $D$ with respect to that basis is $\begin{bmatrix}0&0&0&0 \\ 3&0&0&0 \\ 0&2&0&0 \\ 0&0&1&0 \end{bmatrix}.$ Now use the usual algebraic method to calculate eigenvectors and eigenvalues for that matrix. Finally, you have to figure out what that tells you in terms of polynomials.

Edit. *sigh* As usual, I like Serena beat me to it. But he and I have given two different approaches to the problem, so I hope that one of them works for you.
 
I like Serena said:
I don't think so, since:
$$D\Big(\frac{x^2}{2}\Big) = x \ne \lambda \cdot \frac{x^2}{2}$$

Let's pick a generic polynomial in V:
$$p(x) = ax^3 + bx^2 + cx + d$$
where $a, b, c, d \in \mathbb R$.

Then we have:
$$D(p(x)) = \lambda p(x)$$
$$3ax^2 + 2bx + c = \lambda ax^3 + \lambda bx^2 + \lambda cx + \lambda d$$
Which solutions can you find for $\lambda$? And for $a, b, c, d$?

Hi,
This is where we got stuck, because we couldn't solve for the values without knowing if lambda, a, b, c, d are nonzero...
 
kalish said:
Hi,
This is where we got stuck, because we couldn't solve for the values without knowing if lambda, a, b, c, d are nonzero...

Consider two cases:
  1. $\lambda = 0$
  2. $\lambda \ne 0$
What can you say about a, b, c, and d in each of those cases?
Note that the coefficient of each power of x must match left and right.
 

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