7.1: Invariant Subspaces
( \newcommand{\kernel}{\mathrm{null}\,}\)
To begin our study, we will look at subspaces U of V that have special properties under an operator T in L(V,V).
Definition 7.1.1: invariant subspace
Let V be a finite-dimensional vector space over F with dim(V)≥1, and let T∈L(V,V) be an operator in V. Then a subspace U⊂V is called an invariant subspace under T if
Tu∈Ufor all u∈U.
That is, U is invariant under T if the image of every vector in U under T remains within U. We denote this as TU={Tu∣u∈U}⊂U.
Example 7.1.1
The subspaces null(T) and range(T) are invariant subspaces under T. To see this, let u∈null(T). This means that Tu=0. But, since 0∈null(T), this implies that Tu=0∈null(T). Similarly, let u∈range(T). Since Tv∈range(T) for all v∈V, we certainly also have that Tu∈range(T).
Example 7.1.2
Take the linear operator T:R3→R3 corresponding to the matrix
[120110002]
with respect to the basis (e1,e2,e3). Then span(e1,e2) and span(e3) are both invariant subspaces under T.
An important special case of Definition 7.1.1 involves one-dimensional invariant subspaces under an operator T in L(V,V). If dim(U)=1, then there exists a nonzero vector u in V such that
U={au∣a∈F}.
In this case, we must have
Tu=λu for some λ∈F.
This motivates the definitions of eigenvectors and eigenvalues of a linear operator, as given in the next section.
Contributors
- Isaiah Lankham, Mathematics Department at UC Davis
- Bruno Nachtergaele, Mathematics Department at UC Davis
- Anne Schilling, Mathematics Department at UC Davis
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