Abstract
In considering the elements of the vector space \(\mathbb{R}^{d}\) as column vectors, the vector space \((\mathbb{R}^{d})^{t}\) of row vectors is obviously related to \(\mathbb{R}^{d}\), but is not necessarily identical to it. What, therefore, is one to make of row vectors and of the transpose ξ ↦ ξ t operation applied to column vectors ξ? The usual product of matrices and vectors indicates that each ξ t is a linear transformation \(\mathbb{R}^{d} \rightarrow \mathbb{R}\) via ξ t(η) = ξ t η, for (column) vectors \(\eta \in \mathbb{R}^{d}\).
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Farenick, D. (2016). Dual Spaces. In: Fundamentals of Functional Analysis. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-45633-1_6
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DOI: https://doi.org/10.1007/978-3-319-45633-1_6
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