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''' | ''' vecteur propre ''' | ||
== Anglais == | == Anglais == | ||
''' | ''' eigenvector''' | ||
Eigen, meaning ‘characteristic of’ or ‘peculiar to’, describes a set of values, vectors, spaces and functions, that fulfill the same related definition. Here we consider eigenvectors which fulfill the following definition. A transformation t (which operates on and creates vectors) has a scalar eigen value if there is a vector (not zero) such that t()= . Intuitively this can be understand as a system where the only thing that happens to is simple multiplication by . This is important because the identity of is still preserved and can be recovered by dividing out . | Eigen, meaning ‘characteristic of’ or ‘peculiar to’, describes a set of values, vectors, spaces and functions, that fulfill the same related definition. Here we consider eigenvectors which fulfill the following definition. A transformation t (which operates on and creates vectors) has a scalar eigen value if there is a vector (not zero) such that t()= . Intuitively this can be understand as a system where the only thing that happens to is simple multiplication by . This is important because the identity of is still preserved and can be recovered by dividing out . | ||
Version du 30 avril 2021 à 10:59
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Français
vecteur propre
Anglais
eigenvector
Eigen, meaning ‘characteristic of’ or ‘peculiar to’, describes a set of values, vectors, spaces and functions, that fulfill the same related definition. Here we consider eigenvectors which fulfill the following definition. A transformation t (which operates on and creates vectors) has a scalar eigen value if there is a vector (not zero) such that t()= . Intuitively this can be understand as a system where the only thing that happens to is simple multiplication by . This is important because the identity of is still preserved and can be recovered by dividing out .
Contributeurs: Claire Gorjux, wiki
