The vector triple product identity gives . Decompose , where and . Then
The linear map acts as the identity on and as multiplication by along . Consequently it is invertible exactly when , with
Applying to this expression recovers the perpendicular and parallel components of separately.
At , is the orthogonal projection onto the plane perpendicular to . Its image of a linear map and kernel of a linear map are
Every perpendicular vector is unchanged and every parallel vector is annihilated. The image plane is perpendicular to the kernel axis by the definition of ; their dimensions two and one also agree with the rank-nullity theorem.
Expanding the formula from part (a) in components gives , with repeated indices summed. Hence the matrix of a linear map and its inverse, when , have entries
Here is the Kronecker delta. To check the matrix inverse, write ; because . Thus and , whose product is the identity matrix.
For the specified unit vector,
For a cyclic matrix with first row , its determinant is . Here it gives
Therefore has only the zero solution if . At , and has kernel consisting of the equal-coordinate vectors. The complete answer is
Geometrically, , and , so is a rotation matrix about the axis. Its matrix trace is two, giving ; its skew part selects angle about the oriented axis . It has no fixed nonzero perpendicular vector. Meanwhile preserves perpendicular components and scales the axial component by . Comparing these components first forces , and then , exactly matching the determinant calculation, including the noninvertible case .

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