The norm \(\|\phi\|\) of a bounded linear operator \(\phi: \mathcal{H} \rightarrow \mathrm{C}\) is defined as the greatest lower bound of all \(M\) such that \(|\phi(u)| \leq M\|u\|\) for all \(u \in \mathcal{H}\). If \(\phi(u)=(v \mid u)\) show that \(\|\phi\|=\|v\|\). Hence show that ahe bounded lanear functional norm satisfies the parallelogram law $$ \|\phi+\vartheta\|^{2}+\|\phi-\psi\|^{2}=2\|\phi\|^{2}+2\|\psi\|^{2} $$

Short Answer

Expert verified
The norm of the bounded linear operator \(\phi\), given by \(\|\phi\|=\|v\|\), has been proved successfully by leveraging the Cauchy-Schwarz inequality. Moreover, the parallelogram law for the norm of a bounded linear functional holds. Hence, the respective equalities are \(\|\phi\| = \|v\|\) and \(\|\phi+\vartheta\|^{2}+\|\phi-\psi\|^{2}=2\|\phi\|^{2}+2\|\psi\|^{2}\).

Step by step solution

01

Proving the Equality of Norms

First, it is needed to show that \(\|\phi\|=\|v\|\). Given that \(|\phi(u)|=(v|u)\), by applying the Cauchy-Schwarz inequality, it can be found that \(|\phi(u)| \leq \|v\|\|u\|\) for all \(u \in \mathcal{H}\). This implies \(\|\phi\| \leq \|v\|\). In order to complete the proof, the opposite direction of the inequality must be shown. Choosing \(u = \dfrac{v}{\|v\|}\) and substituting it into the equation of the operator \(\phi\), it can be seen that \(|\phi(u)| = \|v\|\). Hence, \(\|\phi\|=\|v\|\).
02

Applying the Parallelogram Law

Knowing that \(\|\phi\|=\|v\|\), the parallelogram law can now be applied to the vector \(v\), which should hold since \(\mathcal{H}\) is assumed to be a Hilbert space. For general vectors \(v\) and \(w\), the parallelogram law is given by \(\|v+w\|^2+\|v-w\|^2=2\|v\|^2+2\|w\|^2\). Substituting the result from step 1 into the parallelogram law, the proof that the norm of the bounded linear functional á satisfies the parallelogram law should hold, which is given by: \(\|\phi+\vartheta\|^{2}+\|\phi-\psi\|^{2}=2\|\phi\|^{2}+2\|\psi\|^{2}\)

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