Problem of the Week #45 - April 8th, 2013

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SUMMARY

The discussion focuses on the analysis of the annihilator of the function \( e^x \) within the context of the vector space \( V = C^{\infty}(\mathbb{R}) \) and the derivative operator \( D \in \text{End}_{\mathbb{C}}(V) \). It establishes that for any function \( f \in V \) and \( \lambda \in \mathbb{C} \), the equation \( Df = \lambda f \) holds if and only if \( f(x) = C \cdot e^{\lambda x} \) for some constant \( C \). Furthermore, it proves that the dimension of the inverse image under the operator \( [D - \lambda]^{-1}(W) \) is at most \( \dim(W) + 1 \) and that solutions to a homogeneous linear differential equation with constant coefficients form a subspace of \( V \) with dimension at most \( n \.

PREREQUISITES
  • Understanding of vector spaces, specifically \( C^{\infty}(\mathbb{R}) \)
  • Familiarity with linear operators and their properties in functional analysis
  • Knowledge of differential equations, particularly those with constant coefficients
  • Concept of annihilators in the context of vector spaces
NEXT STEPS
  • Study the properties of the derivative operator \( D \) in functional analysis
  • Learn about the concept of annihilators in vector spaces
  • Explore the theory of homogeneous linear differential equations with constant coefficients
  • Investigate the implications of the dimension theorem in linear algebra
USEFUL FOR

Mathematicians, students of advanced calculus, and anyone studying functional analysis or differential equations will benefit from this discussion.

Chris L T521
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Here's this week's problem.

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Problem: Let $V=C^{\infty}(\mathbb{R})$ denote the $\mathbb{C}$-vector space of continuous functions $f:\mathbb{R}\rightarrow\mathbb{C}$ which have continuous $n^{\text{th}}$ derivatives for all $n\geq 1$. Let $D\in\text{End}_{\mathbb{C}}(V)$ denote the derivative operator. View $V$ as a $\mathbb{C}[X]$-module, in the usual way, so that $X\cdot v=D(v)$ for all $v\in V$.
  1. Describe $\text{Ann}\{e^x\}$ (the annihilator of $e^x$), and prove the accuracy of your description.
  2. It is a basic result in analysis that for any $f\in V$, and any $\lambda\in\mathbb{C}$, $Df=\lambda\cdot f$ if and only if $f(x)=C\cdot e^{\lambda x}$ for some $C\in\mathbb{C}$. Now assume that $W$ is a subspace of $V$. Define \[ [D-\lambda]^{-1}(W)=\{f\in V: Df-\lambda f\in W\}.\] Prove that $\dim([D-\lambda]^{-1}W)\leq\dim(W)+1$.
  3. Consider a homogeneous linear differential equation with constant coefficients, of the following form: \[D^nf+a_{n-1}D^{n-1}f+\cdots+a_nDf+a_0f=0.\] Prove that the set of solutions $f\in V$ to this equation is a subspace of $V$ with dimension at most $n$.

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No one answered this week's question. You can find my solution below.

  1. Claim: $\text{Ann}\{e^x\}=(X-1)$, the ideal generated by $X-1$.
    Proof: Consider the element $X-1\in\mathbb{C}[X]$. Since $V$ is a $C[X]$-module, we see that$$(X-1)\cdot e^x = X\cdot e^x - 1\cdot e^x= De^x-e^x = e^x-e^x = 0.$$
    Therefore, $X-1\in\text{Ann}\{e^x\}$. Since $\mathbb{C}[X]$ is a PID, and $\text{Ann}\{e^x\}\neq (0)$, it follows that $\text{Ann}\{e^x\}$ is generated by a unique monic polynomial $P$. Since $X-1\in\text{Ann}\{e^x\}$, $P$ divides $X-1$. So, $P=1$ or $P=X-1$. If $P=1$, then $1\cdot e^x=e^x\neq 0$ for all $x$. Thus, $1\notin\text{Ann}\{e^x\}$ and $P\neq 1$. Therefore $P=X-1$, which implies that $(X-1)=\text{Ann}\{e^x\}$.$\hspace{1in}\mathbf{Q.E.D.}$
  2. Proof: We first show that $[D-\lambda]^{-1}(W)$ is a subspace of $V$. Let $f,g\in[D-\lambda]^{-1}(W)$. By definition, $w = Df-\lambda f\in W$ and $w^{\prime} = Dg-\lambda g\in W$. Furthermore,
    $$D(f+g)-\lambda(f+g)=Df+Dg-\lambda f-\lambda g = (Df-\lambda f)+(Dg-\lambda g) = w+w^{\prime}\in W.$$
    Therefore, $f+g\in[D-\lambda]^{-1}(W)$.\vskip0.5pc
    Similarly, let $f\in[D-\lambda]^{-1}(W)$ and $\alpha\in\mathbb{C}$. By definition, $w=Df-\lambda f\in W$. Thus,
    $$D(\alpha\cdot f)-\lambda\cdot(\alpha\cdot f)=\alpha\cdot Df-\alpha\cdot (\lambda\cdot f)=\alpha\cdot(Df-\lambda f)=\alpha w\in W.$$
    Therefore $\alpha\cdot f\in[D-\lambda]^{-1}(W)$.

    Now, let $\varphi:[D-\lambda]^{-1}(W)\rightarrow W$ be a map defined as $\phi( f)=Df-\lambda f$ for all $f\in[D-\lambda]^{-1}(W)$. We see that $\phi$ is a homomorphism of $\mathbb{C}$ vector spaces, based on calculations done above. Therefore, by the Rank-Nullity theorem,
    $$\dim([D-\lambda]^{-1}(W))=\dim(\text{Im}(\varphi))+\dim(\ker(\varphi)).$$
    $\text{Im}(\varphi)$ is a subspace of $W$; hence $\dim(\text{Im}(\varphi))\leq\dim(W)$. It is an analytic result that, for any $f\in V$ and $\lambda\in\mathbb{C}$, $Df=\lambda f$ iff $f(x)=C\cdot e^{\lambda x}$ for some $C\in\mathbb{C}$. That is,
    $$\ker(\varphi)=\{f\in[D-\lambda]^{-1}(W): Df-\lambda f=0\}$$
    is at most one-dimensional, so $\dim(\ker(\varphi))\leq 1$. Therefore, we now see that
    $$\dim([D-\lambda]^{-1}(W))=\dim(\text{Im}(\varphi))+\dim(\ker(\varphi))\leq\dim(W)+1.\hspace{1in}\mathbf{Q.E.D}$$
  3. Proof: Note that $D$ is a linear operator (follows a similar argument presented in part 2). If $f$ is a solution to the differential equation, then
    $$\begin{aligned} & D^nf+a_{n-1}D^{n-1}f+\cdots+a_1Df+a_0f = 0\\ \implies &Df-a_1^{-1}a_0f = -a_1^{-1}D^nf-a_1^{-1}a_{n-1}D^{n-1}f-\cdots-a_1^{-1}a_2D^2f.\end{aligned}$$
    Therefore, $f\in[D-\lambda]^{-1}(W)$ with $\lambda=a_1^{-1}a_0$ with $W$ being spanned by $\{D^2f,\ldots,D^nf\}$. This implies that the set of solutions to this linear equation is a subspace of $[D-\lambda]^{-1}(W)$. So the dimension of the solution set is at most the dimension of $[D-\lambda]^{-1}(W)$, which $n-1+1=n$. $\hspace{1in}\mathbf{Q.E.D.}$
 

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