How can I prove the following theorem with explanation? please

158 Views Asked by At

How can I prove the following theorem with explanation. please

For any nonempty subset $M$ of a Hilbert space $H$, the span of $M$ is dense in $H$ if and only if $M^{\perp}=\{0\}$

I read the prove from Erwin kreyszig page 149 but I didn't understand anything

If $V$ is a subspace of a Hilbert space $H$ and $V^{\perp}=${$0$} so $\rightarrow$ $V=H$ is this correct or not ? Or $V$ has to be closed?

I want help

1

There are 1 best solutions below

3
On BEST ANSWER

First let us assume that $Span(M)$ is dense in $H$. We need to show that $M^{\perp} = \{0\}$. So, let $x\in M^{\perp}$ be any arbitrary element. Since $Span(M)$ is dense in $H$ so there exists a sequence $(x_n)$ of elements of $Span(M)$ such that $x_n\longrightarrow x$. Now, by continuity of inner product it follows that $\langle x_n, x\rangle \longrightarrow \langle x,x\rangle$. But each $\langle x_n, x\rangle = 0$, so, $\langle x,x\rangle = \|x\|^2 = 0$ which implies $x=0$. Thus, $M^{\perp}=\{0\}$.

$\textbf{Note:}$ Notice that $x$ was in $M^{\perp}$, so, $\langle x,y\rangle = 0$ for all $y \in M^{\perp}$. But this also implies that $\langle x,z\rangle = 0$ for all $z \in Span(M)$ because any $z \in Span(M)$ is a finite linear combination of elements of $M$ and inner product is linear in first variable and conjugate linear in second variable. This is the reason why $\langle x_n, x\rangle = 0$ for all $n$ above.

Conversely, let us assume that $M^{\perp} = \{0\}$. Then notice that $(Span(M))^{\perp}$ is a closed subspace of $H$. Therefore, by lemma 3.3.4 on page 146 you can write \begin{equation} H = (Span(M))^{\perp} \oplus ((Span(M))^{\perp})^{\perp}. \end{equation} Since $((Span(M))^{\perp})^{\perp} = \overline{Span(M)}$See this link, it follows that \begin{equation} H = (Span(M))^{\perp} \oplus \overline{Span(M)}. \end{equation} So, it is enough to show that $(Span(M))^{\perp}= \{0\}$. But this is easy to see and this is also done in the book.