A linear map is a nilpotent endomorphism if for some positive integer , and a semisimple endomorphism if it is diagonalizable over . Decompose into its generalized eigenspaces , where . Define on to be , and set . Then is diagonalizable, is nilpotent, and both preserve these vector subspaces and commute. ThusFor uniqueness, suppose with semisimple, nilpotent and . Both commute with , so preserve each . On an eigenspace of of eigenvalue inside , the map is and has only the eigenvalue . Since the same subspace lies in , . Hence on , proving and . This is the additive Jordan–Chevalley decomposition.
We need a polynomial consequence of this decomposition. Hermite interpolation supplies a polynomial with , by prescribing for each eigenvalue. For any endomorphism , its semisimple part can likewise be expressed as a polynomial in with zero constant term: if zero is an eigenvalue, its interpolation condition already forces this; if not, add the independent condition .
On , the maps and commute. The first is diagonalizable, with eigenvalues on . The second is nilpotent, sincewhich vanishes for when . Uniqueness therefore proves adjoint compatibility of additive Jordan decomposition: .
Now assume . The condition implies that both and are invariant under , and every polynomial in with zero constant term maps into . Define to be multiplication by on . It commutes with . On , acts by . Polynomial interpolation on the finite set of differences gives with . The preceding paragraph then expresses as a polynomial in with zero constant term. Consequently , so .
The assumed trace orthogonality nilpotence lemma now follows directly. On , and , while the matrix trace of the nilpotent restriction of is zero. HenceEvery summand is nonnegative, so every eigenvalue of is zero. Its Jordan–Chevalley decomposition therefore has , and is nilpotent. Notice that neither nor was required to be a Lie subalgebra.
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