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Zusammenfassung

Eine Determinantenfunktion auf \({\mathbb{R}}^{n}\) ist eine Abbildung

$$D:\quad\begin{aligned}\displaystyle&\displaystyle{\mathbb{R}}^{n}\times\dots\times{\mathbb{R}}^{n}\to{\mathbb{R}}\\ \displaystyle&\displaystyle(v_{1},v_{2},\dots,v_{n})\mapsto D(v_{1},v_{2},\dots,v_{n})\end{aligned}$$

mit folgenden Eigenschaften:

  1. (i)

    die Abbildung \(v_{i}\mapsto D(v_{1},\dots,v_{i},\dots,v_{n})\) ist linear für alle \(i=1,\dots,n\),

  2. (ii)

    falls \(v_{i}=v_{j}\) ist für gewisses \(i\not=j\), dann gilt \(D(v_{1},\dots,v_{n})=0\),

  3. (iii)

    \(D(e_{1},\dots,e_{n})=1\), wenn \(\{e_{1},\dots,e_{n}\}\) die kanonische Basis von \({\mathbb{R}}^{n}\) ist.

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Correspondence to Michel Chipot .

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Chipot, M. (2016). Determinanten. In: Mathematische Grundlagen der Naturwissenschaften. Springer-Lehrbuch. Springer Spektrum, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47088-6_13

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