An invariant subspace of a linear map is a vector subspace satisfying . For a group representation, invariance means for every represented group element .
Invariance of a vector subspace does not mean that each individual vector stays fixed. The zero-sum plane in the three-coordinate example is invariant even though the cyclic permutation rotates its nonzero vectors. By contrast, the constant-coordinate line is pointwise fixed. Distinguishing these statements prevents a symmetry-preserved mode space from being mistaken for a static mode.
For a quarter-turn rotation of about a unit axis vector , the only real invariant subspaces are , the axis , its perpendicular plane , and all of .
Indeed fixes the axis and negates the perpendicular plane. Hence is the linear projection onto the axis, while is the linear projection onto the perpendicular plane. An invariant subspace is preserved by these polynomials in , so
The first intersection is either zero or the axis. If the second contains a nonzero , it also contains . These are perpendicular nonzero vectors, so they span the perpendicular plane. This proves the classification.
Over the complex numbers the situation changes: the rotation matrix has eigenvalues , giving three one-dimensional eigenspaces. The absence of real eigenvalues on the perpendicular plane explains why it has no real one-dimensional invariant subspace.
For a linear group representation, the common fixed vectors of a subgroup form an invariant subspace for any equivariant map restricted to it. Its dimension is central to symmetry-based branching theorems. It need not be invariant under the entire group; conjugate subgroups have conjugate fixed-point subspaces.
A nonzero representation is reducible when it has a nonzero proper invariant subspace; otherwise it is an irreducible representation.

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In functional analysis and operator theory, an **invariant subspace** refers to a subspace of a given vector space that is preserved under the action of a given linear operator. More formally, let \( T: V \to V \) be a linear operator on a vector space \( V \).