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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 TL(V,V) be an operator in V. Then a subspace UV is called an invariant subspace under T if

TuUfor all uU.
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={TuuU}U.

Example 7.1.1

The subspaces null(T) and range(T) are invariant subspaces under T. To see this, let unull(T). This means that Tu=0. But, since 0null(T), this implies that Tu=0null(T). Similarly, let urange(T). Since Tvrange(T) for all vV, we certainly also have that Turange(T).

Example 7.1.2

Take the linear operator T:R3R3 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={auaF}.

In this case, we must have

Tu=λu for some λF.

This motivates the definitions of eigenvectors and eigenvalues of a linear operator, as given in the next section.


This page titled 7.1: Invariant Subspaces is shared under a not declared license and was authored, remixed, and/or curated by Isaiah Lankham, Bruno Nachtergaele, & Anne Schilling.

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