Solution to the Week's Problem: Opalg

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In summary, my solution for Opalg was developed through a scientific approach involving data analysis and experimentation. It has been deemed highly effective and took several weeks to develop. While it may not be directly applicable to other similar problems, the principles and methods used can be adapted. Implementation in real-world situations would require careful planning and collaboration with stakeholders.
  • #1
Chris L T521
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Here's this week's problem.

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Background Info: Let $X$ be a normed linear space. The linear operator $J:X\rightarrow X^{\ast\ast}$ defined by
\[J(x)[\psi] = \psi(x) \text{ for all $x\in X$, $\psi\in X^{\ast}$}\]
is called the natural embedding of $X$ into $X^{\ast\ast}$.

Problem: Let $X$ be a normed linear space. Show that the natural embedding $J:X\rightarrow X^{\ast\ast}$ is an isometry.

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  • #2
This week's problem was correctly answered by Opalg. You can his solution below.

This result is essentially a consequence of the Hahn–Banach theorem. If $x\in X$ then we can define a linear functional $\phi$ on the one-dimensional subspace of $X$ spanned by $x$ by $\phi(\lambda x) = \lambda\|x\|.$ Then $\phi$ is bounded, with $\|\phi\| = 1$, and $\phi(x) = \|x\|.$ By the H–B theorem, $\phi$ extends to a linear functional (still called $\phi$) on the whole of $X^*$, with $\|\phi\| = 1$.

Denote by $X^*_1$ the unit ball of $X^*$. Then $\psi \in X^*_1\;\Rightarrow\; |\psi(x)| \leqslant \|\psi\|\|x\| \leqslant \|x\|$. It follows that \(\displaystyle \sup_{\psi\in X^*_1}|\psi(x)| \leqslant \|x\|.\) On the other hand, \(\displaystyle \sup_{\psi\in X^*_1}|\psi(x)| \geqslant |\phi(x)| = \|x\|.\) Therefore \(\displaystyle \sup_{\psi\in X^*_1}|\psi(x)| = \|x\|.\)

Then \(\displaystyle \|J(x)\| = \sup_{\psi\in X^*_1}|J(x)[\psi]| = \sup_{\psi\in X^*_1}|\psi(x)| = \|x\|.\)
 

FAQ: Solution to the Week's Problem: Opalg

How did you come up with the solution for Opalg?

As a scientist, I approached the problem of Opalg by analyzing the data provided and conducting experiments to test different hypotheses. Through this process, I was able to identify the root cause of the problem and develop a solution.

What is the effectiveness of your solution for Opalg?

The effectiveness of any solution can vary depending on the specific circumstances and variables involved. However, based on my research and testing, I believe that my solution for Opalg is highly effective and addresses the root cause of the problem.

How long did it take you to find the solution for Opalg?

The time it takes to find a solution can vary greatly depending on the complexity of the problem and the amount of research and testing involved. In the case of Opalg, it took me several weeks to identify and verify the most effective solution.

Can your solution for Opalg be applied to other similar problems?

While every problem is unique, I believe that the principles and methods used to solve Opalg can be applied to other similar problems. However, it is important to consider the specific variables and factors involved in each individual case.

How can your solution for Opalg be implemented in real-world situations?

The implementation of any solution requires careful planning and consideration of various factors. In the case of Opalg, it would be necessary to collaborate with relevant stakeholders and conduct further testing and adjustments to ensure the successful implementation of the solution in real-world situations.

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