The functional is linear and nonzero because . It therefore has rank one, and rank-nullity theorem gives
No Gram–Schmidt argument is needed. Every vector decomposes uniquely as , where and . Substitution gives . Thus the eigenspace for is , and that for is . The latter is an actual eigenvalue when ; when its eigenspace is zero and only occurs. In the plane the map is reflection in the line perpendicular to .
For equal-length crystallographic root configurations in a plane, taking in the closure condition gives , so every vector occurs with its negative. For fixed , a vector has , because both vectors are unit vectors. Thus its angle relative to belongs to the finite list .
If all vectors are collinear, the set is exactly , giving two opposite points of the unit circle.
If an orthogonal vector occurs, closure supplies . A unit vector making an angle of or with would have inner product with , contradicting integrality of twice that inner product. Thus these four points are the whole set: the vertices of a square.
In the remaining case a noncollinear pair makes an angle of or . Changing a sign, take their angles as . Reflecting the second in the line perpendicular to the first supplies the angle , and negation supplies the other three hexagon vertices. No perpendicular vector can occur, by the preceding inner-product obstruction. The initial finite list now leaves only these six points. Conversely the opposite pair, square and regular hexagon each satisfy both reflection closure and the integrality condition. Hence

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