Dual spaces play a key role in functional analysis. Given a vector space \(\mathbb{V}\), the dual space consists of all continuous linear functionals from \(\mathbb{V}\) into \(\mathbb{R}\). For instance, \(\ell_{1}\) is the dual of \(c_0\) because every continuous linear functional on \(c_0\) corresponds uniquely to an element in \(\ell_{1}\).
In the given problem, \(\f\) as defined corresponds to summing the elements of sequences in \(\ell_{1}\backslash c_{0}\). Importantly, while \(\f\) respects the norm structure of \(\ell_{1}\), mapping norms in \(\ell_{1}\) to norms in \(c_0\), it isn't necessarily weak-star continuous.
- Continuous Linear Functionals: Basic building blocks of dual spaces.
- \ell_{1} as the dual of \(c_0\): Summarizes how dual relationships work in sequence spaces.
- Weak-star Continuity test: Shows limits of such functionals under pointwise convergence.
This context completes the fuller picture behind why the functional \(\f\) from the problem is norm continuous yet not weak-star continuous.