Positivity of the linear functional gives monotonicity. For any , the pointwise bounds therefore imply
Thus the positive linear functional is bounded, hence continuous, and its operator norm is at most . Evaluating on the constant function , which has supremum norm one when is nonempty, gives the reverse inequality. Hence
For empty the function space and functional are zero, so the same conclusion holds. This is the norm of a positive functional on C(K) identity.
Put . If , the linear functional is zero and is positive. Otherwise, for a nonzero let . Then and , so boundedness gives
Positive rescaling gives . Thus is a positive linear functional. This is the scalar form of the unital contraction positivity criterion.
We construct the Jordan decomposition of a bounded functional on C(K) directly, without assuming a measure representation. For , define
This is finite, nonnegative, and positively homogeneous, since is allowed and . If , separately chosen approximate maximizers add to an admissible function for , giving . For the converse, any splits into the continuous functions
with and . Hence and is additive on the positive cone.
Extend it to a linear functional by for . This is well defined: two decompositions satisfy , and additivity gives the same difference. Every continuous real function has such a decomposition, for example into its pointwise positive and negative parts. The extension is positive. Define ; for , the choice shows , so is also positive. Part (a) makes both positive linear functionals continuous.
Their operator norms satisfy
The last equality uses symmetry of the real unit ball. Therefore
A character of an algebra is a nonzero multiplicative complex linear functional . Nonzeroness and multiplicativity force , so it is onto . Its kernel is an ideal, and the quotient is the field , making the kernel maximal.
Continuity is automatic. The element cannot be invertible, since applying to an inverse equation would give . On the other hand is invertible whenever , by the Neumann series. Hence , the automatic continuity of characters bound.
Conversely let be a maximal ideal. Its closure is an ideal, because multiplication is continuous. That closure is proper: otherwise there would be with , making invertible by the Neumann series and forcing . Maximality gives . The quotient is consequently a Banach algebra. It is a division algebra: for any , the larger ideal equals , so the class of has an inverse. By the Gelfand-Mazur theorem, , and its quotient map gives a continuous character of an algebra with kernel .
If two algebra characters have the same kernel, then lies in the second kernel, giving for every . Thus
is a bijection. This proves that maximal ideals of a commutative complex unital Banach algebra are character kernels.
There is a qualification in the printed hypotheses: quadratic ellipticity does not bound a nonsymmetric coefficient matrix. The intended standard existence proof needs , or more generally a bounded principal bilinear form. To see why this does not follow from the displayed inequalities, take and
Then for every . However, choose equal to , respectively, on a small rectangle about the origin. There , whose positive part has infinite integral. Thus the standard principal pairing is not a finite Lebesgue integral even for these smooth test functions. This demonstrates the missing form hypothesis, rather than assuming that all unbounded skew coefficients prevent solvability.
Under the intended bounded-coefficient hypothesis the proof is as follows. On use the Hilbert space norm , equivalent to the norm by the Poincaré inequality on a bounded domain. The form from part (i) is bounded, since
It is a coercive bilinear form even without symmetry:
Here the nonpositive sign of is essential. With , the required equation becomes
The Cauchy-Schwarz inequality, bounded coefficients and the Poincaré inequality show that is a bounded linear functional on . The Lax-Milgram theorem states that a bounded coercive bilinear form on a real Hilbert space represents each bounded linear functional in this way with a unique . It therefore yields with the required boundary condition and weak equation. For completeness, if are solutions, satisfies ; coercivity and the Poincaré inequality imply .
With the missing bounded-form hypothesis, the weak solution exists and is unique. For nonsymmetric matrices the printed quadratic inequalities omit the hypothesis needed for this standard formulation and proof. No maximum principle is used. In part (iii), symmetry makes the quadratic upper bound a bound on the whole matrix, so no such qualification is needed there.
The Frankl-Wilson theorem in its uniform form says: let be a prime number, let have size , and let have , while for every distinct pair of members. Then
The modular-intersection, nonuniform form of the Frankl-Wilson theorem is as follows. Let be a prime number, let have elements, and let satisfy for each , whereas for distinct . Then
This nonuniform Frankl-Wilson theorem allows different sizes and different diagonal residues; in particular it applies when all sizes have one common residue outside .
To prove it by the polynomial method in combinatorics, work over the finite field and associate to each member the intersection polynomial
Replace each positive power of in its expansion by to obtain its multilinear reduction on the Boolean cube . This preserves evaluation on every characteristic vector, whose coordinates are zero or one, and leaves degree at most . At the characteristic vector ,
It is zero for distinct , and nonzero for by the diagonal hypothesis. If , evaluating at each forces . Thus the multilinear polynomials are linearly independent. They belong to the vector space with basis the square-free monomials for , whose dimension is the displayed sum. This proves the nonuniform form, including , where distinct members are impossible and the empty product is one.
For the sharp uniform form, we need the low-degree evaluation rank on a uniform layer. Form the integer matrix whose rows are indexed by with , columns by -subsets , and entries . These are evaluations of the square-free monomials. Over the rational numbers, the row of a -subset satisfies
Indeed, when the left side counts the -subsets between and , and otherwise both sides vanish. Since , the coefficient is a positive integer. Thus the degree- rows span all the rows over the rational numbers, giving . Every square submatrix of larger size has integer determinant zero, so its determinant remains zero modulo . Hence
This reduction of matrix rank is the reason one must not try to divide by directly in .
The evaluations of the on the th uniform layer of the Boolean cube lie in the row linear span of over . They are linearly independent as functions there, because restriction to the columns corresponding to still gives the nonzero diagonal evaluation matrix. Their number is consequently at most . This completes the proof of the uniform Frankl-Wilson theorem as well.
For the odd-cardinality problem the sharper Oddtown theorem follows directly from linear algebra. Let be the characteristic vector. The parity conditions say
For any linear combination , take its dot product with . All off-diagonal terms vanish, leaving . Hence these vectors are linearly independent in an -dimensional vector space, giving
The singleton sets show that the bound can be attained. Notice why the constant term in the general nonuniform Frankl-Wilson theorem is unnecessary here: these dot products already give a diagonal evaluation matrix using only the coordinate functions.
For even , partition into the pairs and take every union of a selection of these pairs. This gives exactly distinct sets, including the empty set. Each has even size; every pairwise intersection is again a union of entire pairs and therefore has even size. This attains the proposed bound.
For any set family satisfying the even-cardinality conditions, let be the linear span of its characteristic vectors over . Now the self-dot products vanish as well as the off-diagonal ones. By bilinearity, for all , so : it is a self-orthogonal binary subspace.
For completeness the standard bilinear form on is nondegenerate, because a vector orthogonal to every coordinate vector has every coordinate zero. Thus the map from onto the dual space is surjective: every linear functional on extends to the whole vector space by extending a basis, and every such functional on is a dot product with a vector. Its kernel is . The rank-nullity theorem consequently gives . The inclusion implies . Finally, distinct members have distinct characteristic vectors, all in , and a -dimensional vector space over has exactly elements. Therefore
This proves the Eventown theorem and also explains the suggested dimension contradiction if the set family had more than members.
The special linear group over a finite field consists of the determinant-one invertible matrices over . Counting an ordered basis gives
The determinant map is onto , so
A transvection has the form , where , the linear functional is nonzero and . It has determinant one, fixes the hyperplane pointwise, and its displacement has image the line . In particular for is an elementary transvection when .
Row addition is multiplication by such a matrix. Gaussian elimination reduces a determinant-one matrix to diagonal form using row additions and determinant-one pivot exchanges. The latter, and all remaining diagonal factors, are themselves products of transvections: within two coordinates,
A diagonal matrix with product of entries one is a product of these two-coordinate diagonal matrices. Thus transvections generate . This generation statement actually holds for every and every finite field; the exclusions in the question are needed for the subsequent simplicity assertion.
Commuting with all elementary matrices forces the group center to consist of scalar matrices with , so its order is . The projective quotient acts faithfully on the one-dimensional subspaces. Its action is two-transitive: send an ordered pair of independent representative vectors to any other pair and adjust the determinant by rescaling a representative without changing its line. Therefore it is primitive.
The Iwasawa simplicity lemma says that in a faithful primitive action, if a point stabilizer has an abelian normal subgroup whose conjugates generate the group, every nontrivial normal subgroup contains the derived subgroup. In particular a nontrivial perfect group satisfying these conditions is simple. No proof of the lemma is required here.
For the point , the subgroup
is abelian, is normal in the line stabilizer, and its conjugates contain all transvections. Its image in the projective quotient has the same properties. Perfectness follows explicitly from elementary commutators. If , choose a third index to obtain
If , choose with and set . Then
Every upper transvection is a commutator, and conjugation gives the lower ones. The group and its projective quotient are perfect. Iwasawa's simplicity lemma now proves
The order of is . Its faithful projective-line action has degree five, so its image is an index-two subgroup of , necessarily . Thus .
For the order is . We construct a faithful degree-five action. In take
They satisfy and . Their quaternion subgroup projects to a Sylow 2-subgroup . Its projective centralizer is : a lift of a centralizing element conjugates each of to itself or its negative. In the matrix basis , those four sign choices each leave a one-dimensional space, and determinant one leaves just its two quaternion representatives. The matrix
has order three and cyclically permutes the three nonidentity elements of . The normalizer quotient embeds in and has order dividing both and , so it has order exactly three. Hence and there are five Sylow 2-subgroups. Their conjugation action is nontrivial and transitive, and simplicity makes it faithful. Its image again has order in , proving
Finally,
In characteristic two an involutory matrix has form with . Its Jordan blocks have size at most two. A projective involution in has a unique involutory lift to : its square is central, and squaring is an automorphism of the scalar center of order three, allowing a unique scalar adjustment. The nonidentity Jordan form in dimension three is only . This GL-class remains a single SL-class, since the centralizer contains of every determinant . Thus has one involution class.
In there are two forms, and , so there are two involution classes. More concretely, the first group's single class has elements, counting image line, kernel plane through it and nonzero map between the quotient and image. The rank-one class in dimension four over has elements; the rank-two class has . Isomorphisms preserve conjugacy classes, so
First consider finite-dimensional Lie algebra representations. The operators representing an abelian Lie algebra commute. They have a common eigenvector: take an eigenspace for the first operator of a basis of the algebra, observe that every remaining operator preserves it, and repeat inside this nonzero space. The resulting line is an invariant subspace, so an irreducible representation must be one-dimensional. Its action has the form for a linear functional . Conversely, every such functional defines a Lie algebra representation, since both the Lie brackets in the algebra and the commutators of its scalar operators vanish. Distinct functionals give nonisomorphic representations. Thus the irreducibles are precisely the characters .
Indecomposable does not imply irreducible. For the one-dimensional abelian Lie algebra , let act on by the Nilpotent Jordan block
The line spanned by the first coordinate vector is an invariant subspace, so the module is reducible. If it were a direct sum of two nonzero submodules, both would have dimension one; nilpotence would force to act as zero on both, contrary to . Thus it is an indecomposable representation.
For a finite-dimensional module , put and define its generalized weight spaces intrinsically by
To obtain the decomposition, choose a basis of , split into generalized eigenspaces of , and successively split each piece by . All the pieces are submodules because the acting operators commute. On one resulting piece, has a unique eigenvalue . The commuting operators can be simultaneously upper triangularized by repeating the common-eigenvector argument on quotients. Hence on this piece every is strictly upper triangular. Any linear combination is also strictly upper triangular, and its th power vanishes. Extending linearly therefore identifies the piece with . Different tuples give disjoint pieces; if a component has a different tuple from , at least one is invertible there. Consequently
with only finitely many nonzero summands. Since the definition uses every rather than a chosen basis, this generalized-weight decomposition for a nilpotent Lie algebra is canonical. Its summands need not be irreducible, as the Jordan block example already shows.
Use the printed bilinear pairing , which is complex linear in both arguments. For the conjugate exponents , Holder inequality gives , proving well-definedness, continuity, and . Linearity of follows from linearity of integration.
For , take
with the numerator defined as zero where . Since , this has and . Hence ; the same identity holds for . This also proves injectivity.
For surjectivity, let be a nonzero bounded linear functional on . Choose with and let . The closest point theorem for a closed convex subset of Lp supplies the nearest point ; write . For every , the whole line lies in , so the norm derivative at the minimum vanishes for real . Applying this also to shows that the complex linear functional
vanishes on . Since , each is in , giving and . Therefore
Membership follows from . The zero functional is represented by . This proves the asserted Lp duality isometric isomorphism, including surjectivity, without a separate representation theorem.
An idempotent gives a projective module , since . It is primitive when it cannot be written as a sum of two nonzero orthogonal idempotents. This is equivalent to indecomposability of : a projection onto a direct summand is an idempotent of , and conversely such an idempotent splits . Starting with , split any nonprimitive summand repeatedly. The process terminates because each splitting increases the number of nonzero vector-space summands in a finite-dimensional algebra. Thus
with orthogonal primitive idempotents and indecomposable projective modules. Each summand is generated by its idempotent.
Let . A Frobenius algebra is a finite-dimensional algebra with as left modules over , where . Equivalently there is a linear functional for which is nondegenerate. A symmetric algebra satisfies the stronger bimodule isomorphism , with ; equivalently the functional can be chosen with . This is the associative-algebra meaning of symmetric, rather than the symmetric algebra of a vector space.
For a finite-dimensional module,
The socle is its largest semisimple submodule, and the radical of a module gives its largest semisimple quotient. With one has and : is semisimple, and annihilates every simple module.
Now let for a primitive idempotent, allowing the field to be nonsplit. Symmetry identifies with through the pairing
It is nondegenerate on these corners. If , choose with ; then . The other variable is treated similarly. The pairing respects the left -action, so
The right-module quotient is simple. A primitive idempotent remains primitive modulo the nilpotent radical: idempotents lift through that radical, so a decomposition in the quotient would lift to one in . In the semisimple algebra , the left simple and the dual of the right simple belong to the same matrix block. There is exactly one left simple isomorphism class in that block, even over a nonalgebraically closed field. Hence the head-socle identity for a symmetric algebra is
This is an isomorphism of left modules, and need not be canonical.
For the modular examples put , , so and . The coefficient-of-identity functional on the group algebra is symmetric and nondegenerate, so the identity just proved applies.
In characteristic two, the central idempotents are and . The first block has basis and is . For the second, choose a primitive cube root and use
The two -eigenlines are interchanged by , proving irreducibility. Polynomial interpolation in gives diagonal matrix units, and multiplying by gives the off-diagonal units. Thus the four-dimensional block maps onto and is isomorphic to it:
There are two simple modules, the trivial one-dimensional module and the two-dimensional module ; the sign module equals . Their projective covers are , with layers , and . The regular module is , and the Cartan matrix of a group algebra is . Every module is a sum of : the first block is classified by Jordan chains for a nilpotent linear map of lengths one and two, while the matrix block is semisimple. Thus there are exactly three indecomposable isomorphism classes. This describes the 2-modular blocks of S3.
In characteristic three put . The ideal satisfies , and , so . The only simples are the trivial and sign modules . Put . The projectives have dimension three. A convenient radical generator is :
The basis gives the radical layers
Thus and its Cartan matrix of a group algebra is
The elements and give one arrow in each direction between the two simples. All paths of length three vanish, and the six paths of lengths zero, one and two are linearly independent. Hence is the path algebra of that two-vertex oriented cycle modulo the ideal of paths of length three. Its connected quiver also proves there is a single block of S3 in characteristic three.
Any module is a -graded vector space given by the -eigenspaces, with interchanging the grades and . Constructing Jordan chains with homogeneous bases in the kernel and image filtrations and homogeneous lifts decomposes it into graded chains. Each chain has length or and is determined by its top sign. It is a uniserial module and hence indecomposable. Consequently there are exactly six indecomposables, the length- quotients , .
For a finite group, define the Frattini subgroup by
the intersection is when there are no maximal subgroups, which for a finite group happens only for . A second definition is the set of non-generators: an element such that always implies .
If and , put in a maximal subgroup . Then , so . Conversely, if , some maximal subgroup omits it; maximality gives , although . This proves equivalence.
Every group automorphism permutes maximal subgroups, so is a characteristic subgroup, in particular a normal subgroup. Also
a proper would lie in a maximal subgroup containing both factors.
Set and take a Sylow subgroup of . For , normality of makes a Sylow subgroup of . Conjugating inside therefore gives the Frattini argument factorization . The preceding generating property forces . Thus every Sylow subgroup of is normal, and part (i) shows that is a nilpotent group.
Now suppose is a finite p-group. The normalizer condition makes every maximal subgroup normal: and maximality force . The quotient has no proper nontrivial subgroup, hence is cyclic of prime order; its p-power order makes that prime . Consequently every such contains
where the two factors are the commutator subgroup and the subgroup generated by pth powers. Thus .
The quotient is an elementary abelian group, hence a vector space over . If , extend the nonzero vector to a basis and choose a linear functional nonzero on it. Its kernel pulls back to a subgroup of index , a maximal subgroup omitting . Therefore , proving
The two factors in the last formula are multiplied; the superscripted expression in the TeX aid is not the formula printed in the PDF.
We first prove the algebraic extension step needed for Hahn-Banach separation theorem. Suppose is a finite sublinear functional on a real vector space and is a linear functional on a vector subspace , with there. For , choose a real number between
This interval is nonempty: for any ,
Taking or also bounds the endpoints by finite numbers. Define . For , the upper bound for , applied to , proves . For , writing and using the lower bound at proves the same inequality. The case is the original domination. Thus a dominated linear functional extends over one further direction. Order all dominated extensions by extension of their domains. A chain has its union as an upper bound, so Zorn's lemma supplies a maximal extension. The one-direction argument shows its domain is the whole vector space. This proves the required algebraic Hahn-Banach theorem, rather than assuming the separation result.
Choose , and put . This is a radially open convex set containing zero. It is absorbing: along each line through zero, sufficiently small multiples of any vector lie in . Its Minkowski functional
is finite and nonnegative. Positive homogeneity follows by rescaling . If and , convexity gives , proving subadditivity by taking infima. Moreover,
Indeed, gives for some , hence by convexity and . Conversely, radial openness at permits for some , giving .
Since , and for every . Define a linear functional on by
It is well defined because . For , write ; then . For , domination follows from . The extension step therefore gives with , and . If , then
so . Consequently
Because , this kernel of a linear map has codimension one and is a hyperplane. This establishes the geometric Hahn-Banach theorem for radially open sets without assuming a norm or a topology on .
For the convex function, use its strict epigraph in . It is nonempty and convex, and does not contain . It is also radially open: on every affine line, a finite convex function is continuous. To justify this last fact, convexity orders secant slopes; on a smaller interval the slopes are bounded above and below by slopes to two fixed exterior endpoints, giving a local Lipschitz bound. Thus is continuous, and a strict negative value persists near .
Apply the separation theorem with the zero subspace. A nonzero separating linear functional has form . Its values on the convex epigraph cannot have both signs, since a line segment would then meet its kernel. Choose the sign so that on the epigraph. At and this gives . Letting decrease to yields . Therefore
The resulting linear functional need not be nonzero: for example, the zero functional is the only linear minorant of on .
Now suppose the norm and continuity hypotheses hold. Domination at and gives
If and in norm, apply this inequality to . Since and both bounding values tend to , we obtain . The kernel of a linear map is therefore closed.
Finally, a linear functional with closed kernel on a normed vector space is continuous. If , this is immediate. Otherwise choose with and put . Closedness gives . For , , so . The same resulting bound holds when :
This proves continuity and explains exactly how closedness of the kernel is used.
False. Take the separable Banach space , whose continuous dual space is . We prove that first countability of the weak unit ball would force this dual to be norm separable, producing a contradiction.
Suppose that had a countable weak neighbourhood base at zero. Inside each , choose a basic relative weak neighbourhood specified by finitely many continuous linear functionals . The union is countable. For any and , some lies in . On the vector subspace
this implies , by scaling vectors into . The Hahn-Banach theorem extends to with . The functional vanishes on and is therefore a linear combination of : it factors through the finite-dimensional coordinate map , and a linear functional on that map's image extends to the finite-dimensional coordinate space. Hence
Every thus belongs to the norm closure of . Taking rational coefficients, or rational real and imaginary parts, gives a countable norm-dense subset of . This proves that weak-ball metrizability requires a norm-separable dual.
For , every bounded sequence defines with . Conversely, the values of any bounded linear functional determine such a sequence and recover by density of finitely supported vectors. Thus . The uncountable family in has distance one between distinct members, so this dual is not norm separable: disjoint balls of radius less than would require distinct members of any countable dense set. Since every metrizable space is first countable, the weak unit ball of is not metrizable.
A uniform algebra on a compact Hausdorff space is a closed complex subalgebra containing the constants and separating points of , with the supremum norm. It is therefore a commutative unital Banach algebra. Its character space of an algebra , also called its carrier space, consists of nonzero multiplicative linear functionals, equipped with the Gelfand topology.
For , evaluation gives the character of an algebra . The map is continuous: composing it with the coordinate gives the continuous function for every . It is injective because separates points. The Gelfand topology is Hausdorff because distinct algebra characters differ on some element of . A continuous injection from compact into a Hausdorff space is a homeomorphism onto its image: closed subsets of have compact, hence closed, images. Its image is also compact and closed. Thus
is the asserted homeomorphism. A natural uniform algebra is one for which this image is all of .
Here is the matrix form of Rado's theorem. A matrix with entries in the rational numbers and columns is a partition regular matrix if every finite coloring of the positive integers admits a vector whose coordinates are monochromatic and for which . Its columns condition asks for an ordered partition into nonempty blocks , with
Rado's theorem states that these two conditions are equivalent. Coordinates need not be distinct; positivity is required for every coordinate.
First prove necessity using the finite separating-functional proof of the columns condition. Clearing denominators does not change either the kernel or the columns condition, so assume that has integer entries. For each pair of disjoint index sets , with nonempty, for which is outside the rational linear span of the -columns, choose an integer linear functional such that
Such a linear functional exists: extend a basis over the rational numbers of the indicated linear span by , prescribe values zero on the former basis and one on , extend to a basis of the ambient vector space over the rational numbers, and then clear the functional's denominators. There are only finitely many pairs . Choose a prime number larger than the absolute values of all their nonzero evaluations; if there are none, choose any prime number.
Color by its last nonzero digit coloring value, namely
where is the P-adic valuation. By partition regularity, choose a positive solution all of whose coordinates have the same nonzero digit . Group its indices into nonempty blocks according to increasing distinct P-adic valuations .
Suppose that a block sum is outside the rational linear span of the earlier columns, and put , taking for . Apply the selected linear functional to . The earlier terms vanish exactly. Divide the remaining integer equality by and reduce modulo . Later blocks vanish modulo , while each coordinate in contributes its common digit . We obtain
which is impossible by the choice of and because . Thus each block sum lies in the earlier linear span. For the first block, this span is zero, so . This proves the columns condition.
For sufficiency, assume the columns condition and choose rational coefficients , for , such that
Choose a positive integer clearing all these coefficients' denominators and a positive integer with for every coefficient. Use the permitted monochromatic m-p-c set theorem, in the suffix convention for an m-p-c set, to obtain positive generators such that the full set
is positive and monochromatic. The positivity of the full m-p-c set is important: we do not discard expressions that happen to be negative. For , set
All these coordinates belong to , so they are positive and monochromatic. On collecting coefficients of each , their matrix product is
This explicit Rado solution inside an m-p-c set proves sufficiency and completes the proof of Rado's theorem.
To deduce the Finite sums theorem directly from the columns condition, introduce one positive variable for each nonempty and impose
For there are no equations and any positive integer works. For , write for the column belonging to . Partition the columns into blocks in the order . Consider the row indexed by a set with . The sum of the columns in has row value
For this is always zero. For it equals one exactly for those with and . Each such is the negative coordinate vector in row , and it belongs to an earlier block. Therefore
which verifies the columns condition, rather than assuming the desired Finite sums theorem. Apply Rado's theorem to this system. Its monochromatic positive solution satisfies with , and hence
Use the derived series of a Lie algebra
A solvable Lie algebra has for some . For a two-dimensional algebra with basis , alternating bilinearity shows that is contained in the line spanned by . A one-dimensional Lie algebra is abelian, so . Every two-dimensional complex Lie algebra is solvable, with derived length at most two. This dimension argument actually works over any field with the alternating definition of a Lie bracket.
There is a genuine qualification in the last request: the assertion about all Irreducible Lie algebra representations is true for finite-dimensional representations. Without that restriction, the infinite-dimensional simple module for the two-dimensional affine Lie algebra is a counterexample. Take , with , and let it act on by
Then , so this is a Lie algebra representation. Any nonzero submodule is stable under multiplication by , hence is an ideal . Stability under implies . The two polynomials have the same degree; their leading coefficients also agree, so . In characteristic zero this forces to be constant. Thus is infinite-dimensional and irreducible, while is solvable. The literal unrestricted assertion is false.
Here is a proof of the intended finite-dimensional assertion, including the essential Lie theorem argument. We prove that a nonzero finite-dimensional representation of a complex solvable algebra has a common eigenvector, by induction on . If , any nonzero vector works. Otherwise ; choose a hyperplane containing . It is a solvable ideal, and . Induction gives and with for all . Write and suppress on elements of .
Let and let be the first index for which lies in the span of . The space is -invariant. Repeatedly using and proves inductively that
Thus is -invariant, and every has constant diagonal in this basis. The trace of a commutator is zero, so
Since we work over , for all . Therefore the nonzero simultaneous eigenspace
is -invariant: . A complex linear operator on a nonzero finite-dimensional space has an eigenvector. An eigenvector of is consequently a common eigenvector for .
Its span is a one-dimensional submodule. If is irreducible, that span must be all of . Hence every finite-dimensional irreducible representation of a finite-dimensional complex solvable Lie algebra has dimension one. Conversely a one-dimensional representation is given by a linear functional on , because every commutator acts by zero. Passing repeatedly to quotients also gives the simultaneous triangularization of a Lie algebra representation. Neither the eigenvector step nor the trace argument extends to the infinite-dimensional counterexample above.
Let . A semilinear action on an -vector space is an additive action with . The Galois descent of vector spaces theorem says that is a -vector space and the natural map
is an isomorphism. In particular . Morphisms also descend: an -linear equivariant map is the scalar extension of its restriction to invariant subspaces.
We prove that the invariant vectors span over , without dividing by . For and , the vector
is invariant, because every merely permutes the terms. Suppose their -span were proper. There would be a nonzero -linear functional annihilating that span. For each fixed , we would have
The Artin independence theorem makes all coefficients zero, in particular for every , a contradiction. To recall its elementary proof, take a nontrivial linear relation between distinct field automorphisms with the fewest nonzero coefficients. Replace the input by and subtract one automorphism's value on times the original relation. Choose on which two participating automorphisms differ. The resulting nonzero relation has fewer terms, contradicting minimality.
Choose an -basis consisting of invariant vectors. If is invariant, uniqueness of coordinates gives for every , so every lies in . These vectors are therefore a -basis of , proving the displayed map is an isomorphism. Restriction and scalar extension are visibly inverse on equivariant morphisms, completing the descent theorem. The argument remains valid when the characteristic divides .
Now put , and let act on by applying to each entry. The group is a -group under . Its nonabelian first cohomology consists of cocycles satisfying
modulo for . This convention is equivalent to the usual one after replacing by its inverse. The matrix-automorphism calculation above identifies this coefficient group with .
For a central simple algebra of degree split by , choose . Transport the natural semilinear action to and set
It is -linear and multiplicative, and gives the cocycle identity. Replacing by changes by the displayed coboundary equivalence. Isomorphic -algebras give the same class, so this defines the descent classification of central simple algebras map naturally.
Conversely, a cocycle defines a semilinear algebra action . Let
The vector-space descent theorem gives , with the natural map also respecting multiplication and the identity. Hence . If is a nonzero two-sided ideal of , then is a nonzero ideal of , so it is all of . Dimensions force , proving simplicity. If is central in , it commutes with its -span , and thus is a scalar matrix with scalar . Twisted invariance of a scalar matrix means , so . The center is exactly . Thus is central simple, of degree , and split by .
Equivalent cocycles have conjugate semilinear actions: , so restricts to a -algebra isomorphism between the fixed algebras. In the other direction, an isomorphism of fixed algebras extends to an -algebra automorphism of and intertwines the two actions, giving exactly that equivalence relation. Starting from recovers the fixed algebra of , namely ; starting from a cocycle recovers its action. Therefore
This is a bijection of pointed sets, with the split algebra corresponding to the trivial cocycle. Fixed-degree algebra classes do not carry the Brauer group's tensor-product group law, so a pointed-set interpretation is the appropriate meaning of the isomorphism here.
Work over or . A Fréchet space is a Hausdorff, complete, metrizable locally convex space. Its topology is generated by a countable separating family of seminorms . A neighbourhood base at zero consists of finite intersections
Replacing by makes the family increasing. One compatible translation-invariant metric is
Completeness means that a sequence Cauchy for all these seminorms converges in the space. The separating condition ensures that only when .
Let denote the continuous dual space for the original topology . The weak topology is the coarsest topology making all continuous. Its basic zero-neighbourhoods are
Equivalently, it is generated by the seminorms .
To prove the Hausdorff property, fix . Some continuous seminorm has . On the one-dimensional span of , define . Then . The real or complex Hahn-Banach theorem extends this to with . Thus is originally continuous and . This proves continuous-dual point separation. For distinct , inverse images under such an of disjoint small scalar neighbourhoods of and are disjoint weak neighbourhoods. Hence the weak topology is Hausdorff.
If a linear functional is originally continuous, it belongs to and is weakly continuous by definition. Conversely, is coarser than , so every weakly continuous scalar function is originally continuous. In particular,
This special case of the continuous dual of a weak topology needs no completeness argument.
For the linear map , original continuity implies that whenever . Each such composition is weakly continuous on , so the defining property of the target weak topology makes weak-to-weak continuous.
Conversely, suppose is weak-to-weak continuous. Every , , is then weakly continuous, and hence continuous for . We show that the graph of a linear operator is closed in the original product topology. If in and in , then
By continuous-dual point separation on , this forces . The product is metrizable, so sequential closedness is closedness. The closed graph theorem for Fréchet spaces now gives original continuity of .
The relevant version of that theorem does use completeness of both spaces: a closed graph is a Fréchet space, its first-coordinate projection is a continuous linear bijection onto , and the open mapping theorem for Fréchet spaces gives a continuous inverse. Composing with the second-coordinate projection gives . Thus
Equality of continuous scalar functionals does not imply equality of the two topologies; the closed graph theorem for Fréchet spaces is the extra step that makes this conclusion valid.
Construct the densities using the Riesz representation theorem for a Hilbert space, rather than assuming the measure-decomposition conclusion. Put , a finite dominating measure, and work in the real L2 space . The linear functional
is well-defined on its equivalence classes because . By the Cauchy-Schwarz inequality,
Thus the Riesz representation theorem supplies such that . Since is finite, is also integrable. Testing gives
The first identity and nonnegativity of rule out a positive-measure set where ; for example, test . The second identity and nonnegativity of similarly rule out . Modify a measurable representative on a -null set so that everywhere. This is the Hilbert-space construction of dominated measure densities.
Set
Then and . The indicator identities for extend to integrals of nonnegative measurable functions by approximation with simple functions and the monotone convergence theorem. Consequently,
and, for every ,
Hence
This proves Lebesgue decomposition from a sum-measure density. The argument includes the cases of zero measures; there is no division on , where the denominator vanishes.
Absolute continuity of measures, written , means that implies for every . If , then in the construction above, so the singular term vanishes. Conversely, if with a nonnegative integrable , that integral is zero on every -null set. Thus
This is the finite-measure Radon-Nikodym theorem as a consequence of the proved construction.
Finally restrict the base measure to the sub-sigma-algebra . For a real , write , with both parts nonnegative and integrable. On define finite positive measures
They are absolutely continuous with respect to . The result just proved gives nonnegative, -measurable densities satisfying
Set . Since , this is in , and subtraction gives
For complex , apply the real construction separately to its real and imaginary parts and combine the two results. This is conditional expectation from finite-measure densities. The resulting conditional expectation is unique almost everywhere: for two real versions, their difference has integral zero on its positive and negative level sets in , forcing it to vanish; apply this to both components in the complex case. No probability normalization of is required.
The endomorphisms of the finite-dimensional vector space over the complex numbers form the general linear Lie algebra with the usual addition and scalar multiplication and Lie bracket . This commutator is bilinear and antisymmetric, and expanding the six products verifies the Jacobi identity.
For a Lie subalgebra , being an abelian Lie algebra means . A nilpotent Lie algebra has , eventually zero; a solvable Lie algebra has , eventually zero. These are the lower central series of a Lie algebra and derived series of a Lie algebra, respectively. Nilpotence is a condition on the Lie bracket, and does not require every member to be a nilpotent endomorphism: a nonzero scalar multiple of the identity spans an abelian Lie algebra.
A flag of a vector space is an increasing chain of vector subspaces. The flag we construct is a complete flag, , where , and each is an invariant subspace for . We first prove the common-eigenvector assertion in the Lie theorem, by induction on ; the zero algebra is immediate. For nonzero solvable , its derived algebra is proper, so there is a codimension-one ideal of a Lie algebra containing . Write . By induction there are and a linear functional on such that for every .
Let be the cyclic subspace spanned by . The commutator derivation identity and show inductively that
Thus and all its initial cyclic spans are -invariant. If , the first cyclic vectors form a basis, is also -invariant, and . For , the trace of a matrix commutator gives
Hence , since the field has characteristic zero. The nonzero common weight space
is -invariant: . The restriction of to has an eigenvector, because is an algebraically closed field. This is a common eigenvector for . Its line is invariant, and repeating the argument on the quotient vector space gives the complete invariant flag. Equivalently, this proves simultaneous triangularization of a Lie algebra representation.
In a basis adapted to this complete flag, every member of is upper triangular, so every member of its derived algebra is strictly upper triangular. Products of strictly upper triangular matrices vanish, and each iterated Lie bracket of such matrices is a sum of these products. Consequently the derived algebra is a nilpotent Lie algebra. We may therefore take : it is an ideal, and the quotient Lie algebra is abelian. This also covers .