I'm studying functional analysis and I ask this question mainly because I want a feedback on my proof and suggestions to formalize better my argument (if not already well formalized); any other hint to work on this kind of problem in a better way is well accepted and desired.
The exercise I was facing is the following:
Let $T$ be the operator $$T \colon C^0([0,1],\mathbb{R},||\cdot||_{\infty}) \to C^0([0,1],\mathbb{R},||\cdot||_{\infty})$$ defined by, $\forall u \in C^0([0,1],\mathbb{R})$ (which from now on I'll denote by $X$), $$(Tu)(x) := \int_0^x \sqrt t \cdot u(t)dt.$$ Prove that the operator is compact and compute the point spectrum $\sigma_p(T)$ and the full spectrum $\sigma(T)$.
I'll write now my solution divided in parts.
- $T$ is linear. The proof is obvious.
- $T$ is continuous. To prove this, since it's linear and $(C^0([0,1],\mathbb{R},||\cdot||_{\infty})$ is a Banach space, I just need to prove that it's bounded. For any $x \in X$ we have:
$$|Tu(x)| = \left| \int_0^x \sqrt t \cdot u(t)dt \right|\leq \int_0^1 |\sqrt t \cdot u(t)dt| \leq ||u||_{\infty}\int_0^1 \sqrt t dt = \frac{2}{3}||u||_{\infty} < \infty$$ where the second inequality follows from Cauchy-Schwarz and the last one follows from the fact that $u$ is bounded since it's continuous on a compact interval. By taking the supremum we have $$||Tu||_{\infty} = \sup_{x \in X}|Tu(x)| \leq \frac{2}{3} ||u||_{\infty}$$ and so the operator is bounded and hence continuous.
We want now to prove that T is compact i.e. for every bounded sequence $(u_n)_n$, $||u_n||_{\infty} \leq M$ for some $M > 0$ and $\forall n \in \mathbb{N}$, the image $(Tu_n)_n$ has a convergent subsequence. By using Ascoli-Arzelà theorem this is the same as proving $(Tu_n)_n$ is uniformly equicontinuous and uniformly bounded. Now, $\forall x \in [0,1]$, $$|(Tu_n)(x)| \leq \int_0^1 |\sqrt t| \cdot |u(t)| dt \leq \frac{2}{3}M$$ and by taking the supremum we have $$||Tu_n||_{\infty} \leq \frac{2}{3}M$$ and so $(Tu_n)$ is uniformly bounded. Let's now prove it's uniformly equicontinuous. We know $\sqrt t$ is continuous in $X$ since it's constant with respect to the variable $x$. Let $\delta$ such that $|x - \tilde{x}| < \delta $. We have: $$|(Tu_n)(x) - (Tu_n)(\tilde{x})| = \left| \int_x^{\tilde{x}} \sqrt t \cdot u(t)dt \right| \leq M \cdot \delta$$ and so by taking $\delta = \frac{\epsilon}{M}$ we have the uniform equicontinuity.
Since $T$ is compact we have $\sigma(T) = \sigma_p(T) \cup \{0\}$. Let $\lambda \in \sigma_p(T)$ an eigenvalue with eigenvector $u$. Then: $$(Tu)(x) = \int_0^x \sqrt t \cdot u(t) dt = \lambda u(x)$$ and differentiating both sides we obtain $$\sqrt x \cdot u(x) = \lambda u'(x)$$ with $u(0)=0$. The Cauchy's problem: \begin{equation} \left\{\begin{aligned} u'(x) &= \frac{\sqrt x \cdot u(x)}{\lambda} \\ u(0) &= 0 \end{aligned} \right. \end{equation} has $u \equiv 0$ as the only solution for Gronwall's Lemma since $\int_0^1 \frac{\sqrt x}{\lambda}$ is finite. In conclusion we have $\sigma_p(T) = \emptyset$ and so $\sigma(T) = \{0\}$.
So, here it was my proof. I'll tell you quickly where I suspect I may have done something imperfect and that's why I'm here to ask.
- Chosing $\delta$ as I needed was fair? Or do I need to do something else to prove the equicontinuity?
- Is using Gronwall's Lemma for the computation of the eigenvalue like shooting with a cannon to a fly? Is there a simpler method I should use in a first course of functional analysis without calling to differential equations?
I thank in advance any of you willing to help me correct/confirm this proof and clear my mind from doubts.