Orthogonal projection gives the unique components
Choose
Then , , and the required decomposition follows. If one projection vanishes, its coefficient is zero and the corresponding normalized vector may be chosen arbitrarily in that subspace; the nonzero projected components remain unique.
Conjugating a reflection by a unitary reflects in the transported vector. Since ,
and every vector orthogonal to is fixed. Hence
in particular both sides act identically on .
Using as the horizontal axis and as the vertical axis,
Thus and
The operator reverses the component and fixes , so it is reflection in the horizontal axis. The operator reverses the component parallel to and fixes its perpendicular line; multiplication by reverses those roles. Hence is reflection in the line spanned by .
Both operators map linear combinations of and to linear combinations of the same two vectors: merely changes one coefficient, while
has . Therefore each leaves invariant.
The product of reflections in two lines meeting at angle is a rotation through . Here rotates toward the good axis by . Since initially makes angle with the bad axis,
A single use replaces the angle by .
The amplitude amplification success probability is
Choose to be the nearest integer to . Then differs from by at most , so . Since , this uses
iterations and makes the good amplitude arbitrarily close to one when is small.

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