Put , including . The restriction of to has kernel , so the rank-nullity theorem gives
Likewise has kernel and hence image dimension . But , which implies
Comparing dimensions yields the required concavity of the kernel dimensions of powers of a nilpotent map:
Write , with . The minimal polynomial means and . Choose with . For each , set . Then
Thus . Also because applying to zero still gives zero. Therefore the kernel dimensions of powers of a nilpotent map increase strictly until the nilpotency index:
The same reasoning covers , when the nilpotent linear map is zero on a nonzero vector space.
We prove by mathematical induction on that every linear map on an -dimensional complex vector space admits both triangular forms. For or this is immediate. When , the fundamental theorem of algebra supplies an eigenvector ; its span is an invariant subspace.
By parts (ii) and (iii), has dimension and is an invariant subspace of the dual map . Apply the induction hypothesis to to choose a basis with an upper triangular matrix. Extend it by a linear functional satisfying . Such a functional exists by basis extension, and cannot belong to . In this basis of , the matrix of has the form
where is an upper triangular matrix; here the last diagonal entry follows by evaluating at , where .
There is a basis of with , since the dual basis construction gives a finite-dimensional bidual evaluation map isomorphism. In particular . The matrix transpose relationship for a dual map gives
a lower triangular matrix. Reversing this basis turns a lower triangular matrix into an upper triangular matrix. If is the permutation matrix reversing the order, we have proved
This completes the induction by triangularization using dual spaces.
Suppose is an invariant subspace for . For and , the dual map satisfies
because and the annihilator of a vector subspace consists of the linear functionals vanishing there. Thus
This is the correspondence between invariant subspaces and annihilators.
For a vector subspace , its annihilator of a vector subspace is
Let and . Extend a basis of to a basis of , and let be the dual basis. Every linear functional has the unique expression . It belongs to precisely when its first coefficients vanish. Consequently
The listed dual basis elements are linearly independent, so counting them proves the formula, including and .
The dual space is the vector space of all linear functionals on :
Addition and scalar multiplication are defined pointwise. The dual map sends an output measurement back along :
The function composition of these linear maps is linear, and is linear in . This is the algebraic dual map, so its definition involves no complex conjugation or inner product.
All calculations here take place in the finite field . For the given matrix , its characteristic polynomial is
The values are , so this quadratic polynomial has no polynomial root in and is an irreducible polynomial. Direct calculation gives
Neither nor is zero. The Cayley-Hamilton theorem says that the minimal polynomial divides ; its proper monic polynomial divisors cannot annihilate , so .
The two kernels give the required primary decomposition theorem for linear maps explicitly:
The determinant of the matrix with these three basis vectors as columns is in , proving . To check these are invariant subspaces, writing and gives and . Hence the matrix of the restriction to in the basis is
with minimal polynomial ; the nonzero vector space has zero restriction and minimal polynomial .
The primary decomposition theorem for linear maps starts with a linear map on a finite-dimensional vector space over a field . Factor its minimal polynomial as
where the are distinct monic polynomials that are irreducible polynomials and . Define . Then
Thus the direct sum separates the irreducible polynomial factors into uniquely determined invariant subspaces. The statement works even when the minimal polynomial does not split into linear polynomials over .
No. On the real vector space , use the symmetric bilinear form
Its matrix of a bilinear form is , whose determinant is , so it is a nondegenerate bilinear form. Let
A vector belongs to the bilinear orthogonal complement exactly when . Hence
In particular, the claimed direct sum fails. The isotropic vector has zero self-pairing, although it pairs nontrivially with other vectors of .
The dimension identity in part (i) counts both vector subspaces but does not force their intersection of vector subspaces to be zero. For a symmetric bilinear form, is the radical of a bilinear form restricted to . Thus the precise criterion is
Indeed, trivial intersection of vector subspaces and part (i) give a sum of vector subspaces of dimension . A positive-definite bilinear form would guarantee this for every ; symmetry alone does not.
For the given nondegenerate bilinear form, define the linear map
By part (a), is a linear isomorphism. The paper's bilinear orthogonal complement uses in the first argument; with this convention,
Here is the annihilator of a vector subspace . Since is a linear isomorphism, its restriction gives a linear isomorphism .
For completeness, choose a basis of and extend it to a basis of . In its dual basis , a linear functional vanishes on exactly when its first coefficients are zero. Therefore
Consequently
The argument includes and , and requires no symmetry assumption on the bilinear form.
Take the Nilpotent Jordan block
Then
Suppose that a complex matrix of size three satisfied . We would have , so would be a nilpotent matrix. Every eigenvalue of must then be zero: if with , applying gives . Its characteristic polynomial is therefore , and the Cayley-Hamilton theorem gives . This contradicts . Hence
The obstruction is that a nilpotent matrix of size three cannot have nilpotency index greater than three.
We construct a cube root of a matrix on each Jordan block. Since is an invertible matrix over the complex numbers, its Jordan normal form is
Consider one block , where is a Nilpotent Jordan block and . Choose a complex cube root of , so .
We need a polynomial with constant term one satisfying
This can be constructed using only polynomial multiplication. Write . Once have been chosen, the coefficient of in is plus an expression depending only on those earlier coefficients. Choose to make this coefficient one at and zero at . Division by three is possible over the complex numbers, so the recursion always succeeds. Its first coefficients are
This is the truncated binomial cube root of the identity plus a nilpotent matrix; equivalently , where the generalized binomial coefficient is and the empty product is one.
Substitute . The polynomial remainder is a multiple of , hence zero. It follows that
For , take , so the same construction covers single-entry blocks. Assemble the block diagonal matrix . Taking matrix powers respects these blocks, and conjugating back gives
Thus every invertible matrix over the complex numbers has at least one cube root of a matrix. The construction uses only finitely many matrix powers.
Write , where and . These kernels satisfy . Also and : for example, when . Thus the proposed linear map between quotient vector spaces is well-defined and has the formula
If belongs to its kernel, then . Therefore , so and is zero. We have proved
These are the injections between successive kernel quotients. In finite dimension, they imply .
Surjectivity need not hold. Take a nonzero vector space and the zero linear map . At , we have and , so
No. Over any field , take , let be the identity operator, and choose the vector subspace
Both and the quotient vector space have dimension one. A one-dimensional vector space has no nonzero proper vector subspace, so neither can have a nonzero proper invariant subspace. The induced linear map on a quotient vector space is again the identity operator.
However, is another nonzero proper vector subspace of , and . Hence
The hypotheses do not prevent a direct sum whose two summands are invariant subspaces.
The quotient vector space identifies two vectors precisely when . Since is an invariant subspace, . Thus
Consequently : the output does not depend on the chosen representative. This proves that the induced linear map on a quotient vector space
is well-defined. It is a linear map because, for scalars ,
Use the general definition of a Cartan subalgebra: a nilpotent Lie algebra that is a Lie subalgebra and equals its normalizer of a Lie subalgebra. In a semisimple Lie algebra, the stated structural fact says every Cartan subalgebra is a toral subalgebra and an abelian Lie algebra. Part (i) therefore gives
Conversely, suppose is a toral subalgebra and an abelian Lie algebra with . An abelian Lie algebra is a nilpotent Lie algebra, because its lower central series of a Lie algebra vanishes at the second term. Part (i) gives . Thus satisfies the defining conditions of a Cartan subalgebra, proving
The normalizer of a Lie subalgebra and the centralizer of a Lie subalgebra are
The second is always contained in the first. Conversely, let and . Then , and, because is an abelian Lie algebra,
By the definition of a toral subalgebra, is diagonalizable. A diagonalizable linear map satisfies : in an eigenbasis, both kernels consist of exactly the eigenvectors whose eigenvalue is zero. Thus . This holds for every , so and
This is the normalizer-centralizer equality for a toral abelian subalgebra; it does not require to be a semisimple Lie algebra.
Use the corrected Lie algebra representation , , from part (i). A vector subspace is invariant under exactly when it is invariant under the printed , since changing the sign of a linear map does not change its invariant subspaces. Define
This is a nonzero proper submodule: preserves each , increases the index, , and for .
We must rule out submodules consisting only of mixtures of weight vectors. Let be any submodule, and choose with finite and every . The eigenvalues of are distinct. For , the Lagrange interpolation polynomial
satisfies . Since is invariant under , it is invariant under every polynomial in , so .
If , repeated applications of give , and . If , repeated applications of give a nonzero multiple of , because the successive coefficients are nonzero in characteristic zero. Repeated applications of to then give every with , so .
Finally, if such a contains any vector outside , that vector has a nonzero coefficient of ; the same polynomial interpolation extracts , forcing . Hence the complete list of submodules is . In particular, is a simple module. The quotient module has basis ; and . It is the one-dimensional trivial Lie algebra representation.
The module extension does not split. If for a submodule , then would be a one-dimensional trivial Lie algebra representation, since it maps isomorphically to . But and , so no such exists. Thus
Here semisimple module means a direct sum of modules that are simple modules, equivalently a module in which every submodule has a complementary submodule. This is the nonsplit zero-weight Verma extension for sl2: rescaling to gives and . Its infinite-dimensional vector space is outside the hypotheses of the Weyl complete reducibility theorem.
There is a sign error in the printed assertion under the standard sl2 triple convention. Work first with the operators exactly as printed. Since the form a Hamel basis, their prescribed images extend to linear maps on ; each vector is a finite linear combination of basis vectors.
For , the operator commutators with are
At , the first identity holds because both sides vanish; the second holds because and . On the other hand, for ,
At , both and , so this identity also holds. Thus the actual relations are
In particular, in characteristic zero; the requested equality cannot hold as printed. Setting
corrects the sign and gives , , . These are the standard sl2 triple relations, so the standard basis of the sl2 Lie algebra acts on by , giving a Lie algebra representation.
For completeness, these operators are linearly independent: applying to gives ; applying it to then gives ; applying it to gives . Hence the printed operators span a Lie subalgebra isomorphic to the sl2 Lie algebra, even though their printed normalization fails. Replacing the coefficient in the printed definition of by is one equivalent way to repair the statement.
For the Lie algebra two-cocycle of part (i), the central extension of a Lie algebra has a basis and Lie brackets
Put . This is still a basis together with , and
Consequently is a Lie subalgebra isomorphic to the affine Lie algebra of the line. It commutes with and has zero intersection with , so both summands are ideals of a Lie algebra and
This also holds for the stricter equivalence of central extensions of a Lie algebra. Indeed, choose the linear functional with , . Since in , the change of section in part (a) gives . Thus every Lie algebra two-cocycle here is a Lie algebra two-coboundary, so in Lie algebra cohomology. The explicit map from the split central extension of a Lie algebra sends to , to , and to ; it fixes the central line and induces the identity on the quotient Lie algebra.

Pinned article: Introduction to the OurBigBook Project

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