5

This question comes from Rudin's Functional Analysis, exercise 3.5(d). It concerns the $\ell^p$ spaces (for $0<p<1$) topologized by the metric

$d(x,y)=\sum_{k=1}^\infty |x(k)-y(k)|^p\tag*{($x,y\in\ell^p$)}$

I am asked to prove that there is a one-to-one correspondence $\Lambda\leftrightarrow y$ between $(\ell^p)^*$ and $\ell^\infty$ by

$\Lambda x = \sum_{k=1}^\infty x(k)y(k)\tag*{($x\in\ell^p$)}$

So far, I have shown that for each $y\in\ell^\infty$, the map $F_y:\ell^p\to\mathbb{C}$ given by $F_y(x)=\sum_{k=1}^\infty x(k)y(k)$ is linear (this is obvious) and continuous (by showing it is bounded on the unit ball in $\ell^p$), hence $F_y\in(\ell^p)^*$. Also, to each $\Lambda\in(\ell^p)^*$ corresponds a function $y_\Lambda:\mathbb{N}\to\mathbb{C}$ given by $y_\Lambda(n)=\Lambda(e_n)$, where $e_n:\mathbb{N}\to\mathbb{C}$ maps $n$ to $1$ and $e_n(k)=0$ for all $k\neq n$.

The issue lies in proving that $y_\Lambda$ is in $\ell^\infty$. I am currently trying to prove this via the following approach:

Since $\ell^p$ is a subspace of $\ell^1$, any $\Lambda\in(\ell^p)^*$ can be extended to a linear functional $\Lambda'\in(\ell^1)^*\cong\ell^\infty$, which is possible by a corollary to the Hahn-Banach theorem (this corollary is Theorem 3.6 in Rudin's book).

This argument seems fine, however I only know that $\Lambda$ is continuous on $\ell^p$ with respect to the $\ell^p$-metric, not the metric induced by the $\ell^1$ norm. I have hit a roadblock in showing that $\Lambda$ is continuous in this metric.

So my question is this: would anyone be able to provide any hints/suggestions regarding where I should go from here? I could do the dirty work myself, I would just like to know that this method will lead to the answer. Any assistance would be greatly appreciated.

P.S. This is my first question here on stackexchange, so any criticism about my question would go a long way.

Aweygan
  • 23,883
  • 4
    If $\Lambda(e_n)$ is not bounded, we can assume $n_k$ is such that $\Lambda(e_{n_k})$ diverges monotonically. We can assume it tends to infinity if we want, and even more $\Lambda(e_{n_k})>2^k$. Then consider $x=(x_n)$ defined to be zero for all $n$ except for $x_{n_k}=1/2^k$. Then $x\in\ell^p$ and $\Lambda(x)\geq1+1+1+...$. Contradiction. Hence $\Lambda(e_n)$ is bounded. – Alamos Apr 30 '15 at 03:01
  • Ahh, thank you very much! That is much simpler than what I had in mind. – Aweygan Apr 30 '15 at 03:05
  • 2
    @Alamos: may I suggest you post your answer as an answer? – Martin Argerami Apr 30 '15 at 03:18

1 Answers1

7

This is an old posting and one of the comments addresses partially the question in the OP. Here, I would like to give a simple and direct proof that $(\ell_p)^*=\ell_\infty$. I hope the OP, who is now an expert in functional analysis, does not object to my posting.

The main tool used here is the fact (see Theorem 1.18 in Rudin's FA, 2nd edition) that:

Theorem A: If $X$ is a topological linear space and $\Lambda:X\rightarrow \mathbb{C}$ is a linear map, then $\Lambda$ is continuous iff $\Lambda$ is bounded in a neighborhood $V$ of $0$ in $X$.


Notation:

  1. For any $x,y\in \ell_p$, $$d_p(x,y)=\sum_{n\geq1}|x(n)-y(n)|^p$$
  2. For any $x_0\in\ell_p$ and $a>0$, define $B_p(x_0;a):=\{x\in \ell_p: d_p(x,x_0)<a\}$.
  3. For any $y\in \ell_\infty$, define $\Lambda_y:x\mapsto\sum_m y(m)x(m)$ for $x\in\ell_p$.

Claim I: $\ell_\infty\subset (\ell_p)^*$.
Suppose $y\in \ell_\infty$. Since $0<p<1$, for any $x\in B_p(0;1)$, $|x(m)|\leq |x(m)|^p<1$ for all $m\in\mathbb{N}$. Hence $$\sum_m|y(m)||x(m)|\leq\|y\|_\infty\sum_m|x(m)|^p=\|y\|_\infty d_p(x,0)<\|y\|_\infty$$ From this, it is clear that (1) the map $\Lambda_y:x\mapsto \sum_my(m)x(m)$ is well defined (i.e. the series converges) and linear, and (2) $\Lambda_y$ is bounded in a neighborhood $B_p(0,1)$ of $0$ in $\ell_p$. Consequently, $\Lambda_y\in(\ell_p)^*$. By using the sequence $e_n$ defined as $e_n(m):=\mathbb{1}_{\{n\}}(m)$, it is easy to prove that \begin{align} \sup\{|\Lambda_yx|:x\in B_p(0;1)\}=\|y\|_\infty\tag{1}\label{one} \end{align}

Claim II: For each $\Lambda\in \ell^*_p$ there exists a unique $y\in \ell_\infty$ such that $\Lambda=\Lambda_y$.
By Theorem A there is $a>0$ and $M>0$ such that $$|\Lambda(x)|\leq M \qquad\forall \,x\in B_p(0;a).$$ Define $\bar{y}\in\mathbb{C}^\mathbb{N}$ as $\bar{y}(m)=\Lambda(e_m)$. Since $$|\bar{y}(m)|=|2^{1/p}a^{-1/p}\Lambda(2^{-1/p}a^{1/p} e_m)|\leq 2^{1/p}a^{-1/p}M$$ for all $m$, we have that $\bar{y}\in \ell_\infty$. By Claim I, $\Lambda_{\bar{y}}\in(\ell_p)^*$. Notice that $$\Lambda(x)=\Lambda_{\bar{y}}(x)\qquad\forall\,x\in L:=\operatorname{span}(e_n:n\in\mathbb{N})$$ Since $L$ is dense in $\ell_p$, it follows that $\Lambda=\Lambda_{\bar{y}}$. The uniqueness of the representation $\Lambda=\Lambda_{\bar{y}}$ follows from \eqref{one}.

Mittens
  • 46,352
  • I know it´s been a while since the last post, but I would like to insist on the point that @Aweygan makes regarding the use of Hahn-Banach Theorem. This approach is used for your Claim II, isn´t it? Since $\ell_p$ is a subspace of $\ell_1$, any $\Lambda \in (\ell_p)^$ can be extended to a linear functional $\Lambda' \in (\ell_1)^ \cong \ell_\infty$. That means that to every element $l_p^*$ there is an element in $l_{\infty}$, right? Thus, the proof will be finished with no need to prove anything else. Is this reasoning correct? Could you comment a bit the approach of Aweygan? – Mths Dec 10 '24 at 18:47
  • The question in the comment above was addressed here. To summarise, the approach in that comment addresses what the (topological) dual of $\ell_{p}$ with the induced topology from the $\ell_{1}$ norm rather then the dual of $\ell_{p}$ with the metric topology. It is then unclear how to directly relate the two dual spaces. – Dean Miller Dec 21 '24 at 23:50
  • @Mths: I am not using any imbedding of $\ell_p$ ($0<p<1$) into $\ell_1$ not the Hahn-Banach theorem. My argument is more pedestrian: Given two functions $f$ and $g$ from a metric space $X$ into another metric space $Y$, if $f=g$ on a set $Y\subset X$ and $Y$ is dense in $X$, then $f=g$ on $X$. The proof of this is rather basic: take $x\in X$ and a sequence $x_n$ in $Y$ such that $x_n\xrightarrow{n\rightarrow\infty}x$ in $X$. Then $f(x)=\lim_n f(x_n)=\lim_ng(x_n)=g(x)$. – Mittens Dec 22 '24 at 23:09