Equality in part (a) requires to lie in the span of the two chosen unit vectors. Equivalently, there are real constants such that
One can also see the necessity directly by writing the nonnegative deficit as
where and are the means of the even and odd entries. The deficit vanishes exactly when each group is constant; the two group constants need not be equal.
Let . Orthonormality gives for every , so is orthogonal to . The Pythagorean theorem for inner product spaces gives
Since a squared norm is nonnegative,
This is Bessel's inequality, with equality exactly when belongs to the span of the orthonormal set.
Part (b) requires to be a monic divisor of . The constant divisor one cannot annihilate a nonzero vector space. Every remaining divisor can occur in dimension three:
Here are corresponding matrices, all satisfying :
The last matrix contains a size-two nilpotent Jordan block, requiring the factor , and an eigenvector with eigenvalue one, requiring . Thus its minimal polynomial is exactly . The zero matrix has minimal polynomial , providing the other requested example.
Write for the minimal polynomials of the two restrictions. Since vanishes on and vanishes on , part (b) gives
Hence are coprime. By the direct-sum decomposition, a polynomial annihilates exactly when it annihilates both restrictions, which happens exactly when it is divisible by both and . Consequently
If and , this immediately gives . Conversely, if , the monic polynomials and have product one, so each is one. Thus
This also handles a zero summand, whose minimal polynomial is one; a nonconstant factor cannot be its minimal polynomial.
Since and are coprime, Bézout's identity for polynomials gives with . For every ,
The first summand belongs to : applying gives . The second belongs to by the same calculation. Here all polynomials in commute, and . Thus .
If , both terms on the right of the identity vanish, so . Therefore
Finally, whenever ; hence . Replacing by proves . These are invariant subspaces; this is the coprime-factor case of the primary decomposition theorem for linear maps.
Apply polynomial division in :
Evaluation at gives . A nonzero remainder could be rescaled to a monic polynomial annihilating of smaller degree, contradicting the defining minimality. Hence and
In particular, the annihilating polynomials form the principal ideal .
The minimal polynomial of a linear transformation is the unique monic polynomial of least degree among the nonzero polynomials satisfying :
Such a polynomial exists because the endomorphism space is finite-dimensional, so sufficiently many powers are linearly dependent. Monic normalization is possible over the field . Two monic polynomials annihilating of the same least degree have a difference of smaller degree annihilating , so their difference is zero. For the zero vector space the convention is .

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