A subset is an open set when every has some radius for which . If a continuous function takes only the values zero and one, continuity at with tolerance gives a neighborhood on which . The two possible values differ by one, so throughout that neighborhood. Thus is locally constant, and the zero linear map is its derivative, since the difference is exactly zero for all sufficiently small . Hence everywhere.
For the bound on , parametrize the segment by , . The chain rule gives
by the definition of operator norm. The mean value theorem applied to the real function proves
If the endpoints agree the estimate is immediate. No continuity of the derivative is required.
For the finite-line complement, each removed line is closed, so is open. Because , there is a unique affine plane containing and , and a unique affine plane containing and . Choose outside the union of these finitely many planes, using the permitted fact about finite plane covers. In particular . If met at a point , then , and the line through lies in . Since is on that same line, it would belong to , a contradiction. The same argument using applies to . Thus and can be joined in by these two segments, proving polygonal connectivity of a finite-line complement.
Finally a continuous has zero derivative by the first argument. Apply the proved segment estimate with separately on and . It gives . Since were arbitrary, is constant on .
A function is Fréchet differentiable at when there is a linear map such that
This linear map, which is unique, is the derivative .
For the chain rule, if is differentiable at and is differentiable at , then is differentiable at and . Indeed write and , where , . Since , substitution gives
which proves the assertion, including paths on which .
For , write . Away from the two diagonal lines, and the formula is a composition of smooth functions, hence differentiable. At the origin, , so its ratio to the displacement length tends to zero. Its derivative there is therefore zero: this is quadratic damping restores differentiability at the origin.
At a nonzero point with , necessarily . Along the direction,
The denominator inside the sine is locally an invertible function of , with nonzero derivative . Choose sequences tending to zero for which its reciprocal equals and . The quotients tend to and . Thus even this directional derivative fails to exist, and the function is not differentiable there. Consequently
For , the formula is smooth away from zero. At zero, , so the same remainder estimate gives zero derivative. Hence
No limit of the sine factor itself is needed for either derivative at the origin.
Two real symmetric bilinear forms are congruent if an invertible linear map takes one to the other; in matrices, for some invertible . The spectral theorem for real symmetric matrices gives an orthogonal eigenbasis. Rescaling each basis vector with nonzero eigenvalue then reduces any such form to
Sylvester's law of inertia asserts that is independent of the congruence reduction. To prove it, is the greatest dimension of a subspace on which the form is positive definite: the positive coordinate subspace attains it, whereas any subspace of dimension greater than meets the nonpositive coordinate subspace of dimension and therefore cannot be positive definite. Applying the same argument to the negative of the form determines . Then is determined too.
The rank of a quadratic form is , and its signature of a quadratic form is under the signed-difference convention. They determine and hence the congruence class. Counting all pairs with gives
For , exactly two classes have every level set bounded: the positive-definite and negative-definite classes. Their nonempty nonzero levels are ellipsoids, and their zero level is the origin. A degenerate form has an entire null line in its zero level. An indefinite nondegenerate form also has a nonzero isotropic vector, for example the sum of one positive and one negative normalized basis vector, whose scalar multiples make the zero level unbounded.
For the displayed three-dimensional form,
Its leading principal minors are , all positive. Sylvester's criterion makes it positive definite, so the surface is a bounded ellipsoid. Directly, its quadratic expression is
which also proves positivity and boundedness of the unit level.
For finite-dimensional Complex projective space , use the filtration by its linear projective subspaces. The difference is , so there is one topological cell in every even dimension , and none in odd dimensions. Every cellular boundary vanishes for degree reasons. The integral cohomology is therefore in those even degrees and zero elsewhere.
For the cohomology ring, let be the Poincare dual of a projective hyperplane, using the complex orientation. Generic hyperplanes meet transversely, and a collection of of them intersects in . The geometric interpretation of the cup product identifies with the dual of that intersection. Restricting to a linear , the hyperplanes meet in one point, with positive sign because the transverse normal directions are complex lines. Hence
Thus is a primitive generator in degree , not merely a nonzero multiple. There are no classes beyond degree , so
The point case has ring . Taking the union of the finite projective spaces gives , since each fixed cohomological degree stabilizes. This proves the cohomology ring of complex projective space computation.
For the rank bound for a nonsingular complex bilinear map, write , , , and . Assume . Injectivity with either nonzero factor fixed implies whenever . Therefore
is well defined and continuous. Scaling either vector only scales the output, and in local projective charts the formula is given by bilinear coordinates with no simultaneous zero. Let be the target's degree-two generator and the pullbacks of the two factor generators. The Künneth theorem gives
Fixing or makes a projective linear embedding induced by an injective linear map. Such an embedding pulls back the hyperplane class to the factor's hyperplane class. Since the two restrictions determine of the product, , with the generator of a point factor interpreted as zero.
Put . In the source cohomology ring, every term in vanishes except the one with exponents , and
The binomial coefficient is a positive integer and the final monomial generates the top integral cohomology. If , the class in would be zero. This contradiction proves
When , the nonzero pure-tensor image already gives . A positivity convention is genuinely necessary: if , , and , all restrictions to the zero tensor subspaces are injective, but the literal bound would read . The displayed theorem is therefore the nonzero-factor version. If a nonzero factor is infinite-dimensional, either factor restriction already bounds the image dimension below by that factor dimension; the sum of two positive cardinal dimensions, with at least one infinite, is their maximum, giving the corresponding cardinal bound.
A smooth differential form of degree is a smooth section of , so
It is equivalently a smooth alternating covariant -tensor field. In a coordinate chart it has a unique expression
with smooth coefficients. At these are the smooth functions, and for the space is zero.
Define the exterior derivative in a chart by
To check that it is well-defined, let be other smooth coordinates. The expression satisfies
because the coefficients are symmetric and the wedge products antisymmetric. The coordinate formula also satisfies the graded Leibniz rule, and for a function the chain rule gives . Applying these two facts to yields . Thus the local operators agree on overlaps and define a global linear map .
A second application in any chart gives
again by symmetry of mixed derivatives and antisymmetry of the wedge product of differential forms. Consequently every exact differential form is closed. Put and define the de Rham cohomology by
The identity is exactly what puts the denominator inside the numerator, making this quotient meaningful. Since for , in those degrees.
A left-invariant vector field on a Lie group satisfies
or equivalently for every . For , define
This is smooth because multiplication is smooth and its differential depends smoothly on the base points. The identity gives , so is a left-invariant vector field. Conversely, left invariance forces any such field to have this form with . Evaluation at and the construction above are inverse linear maps. Hence
The Lie bracket of vector fields is their commutator as derivations on smooth functions: . It is another vector field because the cross terms cancel in the Leibniz rule for its action on a product. The bracket is preserved by a diffeomorphism: conjugating the derivation operators by pullback of a smooth function preserves their commutator. Therefore
for left-invariant . These fields are consequently closed under the bracket.
Transport the bracket to the tangent space by
Bilinearity and antisymmetry come from the commutator. The Jacobi identity follows by expanding the three nested commutators of derivation operators: their six terms cancel in pairs. Thus is a Lie algebra, and the displayed correspondence is a Lie algebra isomorphism onto the algebra of left-invariant vector fields.
Let and introduce an isomorphic reference system . Choose a basis and the maximally entangled state
Complete positivity makes
a positive density operator. This is the normalized Choi matrix, with the reference placed first. Its spectral decomposition can be written
The number is at most .
Here an index state is a chosen basis vector in the reference. The corresponding relative state of is the generally unnormalized vector
Thus . Define a linear map by its columns:
Then , so
Expand both sides in reference matrix units. The block with reference indices on the left is ; on the right it is . Since matrix units span all operators and is linear,
This constructs the Kraus representation explicitly from the relative states, rather than assuming it.
Finally, trace preservation implies for every density operator that
Taking every rank-one orthogonal projection as forces the Hermitian operator in brackets to have the same quadratic form as the identity. Therefore
The argument is finite-dimensional, as appropriate to the quantum-information setting; a channel with a different output dimension has the same construction with rectangular Kraus operators.
The printed statement needs : for the empty set every linear subspace has cardinality at least one, so the requested bound is impossible. We prove the intended nonempty version of the Freiman-Ruzsa theorem over a finite field. Necessarily , because any one translate of inside has size .
We first prove all sumset estimates needed below. For finite nonempty and finite in an abelian group, choose one representation for each . The map
is injective: subtracting the outputs recovers , hence its chosen representation and then . This proves the Ruzsa triangle inequality
Choose nonempty minimizing , where is any set with . We prove the Petridis minimal-growth lemma for every finite . List , and let consist of those for which was not already in . The disjoint pieces partition .
Every was already covered in . The new part at step therefore has size at most
Here minimality of applies to every nonempty subset , and the empty case has size zero. Summing proves the lemma. Iteration gives . Apply the Ruzsa triangle inequality with , to obtain
This derives the required Plünnecke-Ruzsa inequality. In characteristic two, subtraction is addition, so for every positive integer .
Fix and translate to , which contains zero, has size , and has the same doubling constant. Choose . A uniformly random linear map kills each specified nonzero vector with probability . The union bound shows that some satisfies
Because , all lower iterated sumsets lie in . In particular is injective on , since the difference of two elements belongs to . For , the density is at least . This proves injective linear modelling of a small sumset.
We next prove the Finite-field Bogolyubov lemma in this model. Write and use normalized real Fourier coefficients on a finite abelian group . Let
By Parseval identity, . Thus is a vector subspace of codimension at most .
For , Fourier inversion of the fourfold normalized convolution gives
All terms with are nonnegative, and the zero-frequency term is . The absolute contribution from the remaining frequencies is at most
Hence the convolution is positive and . Also .
For each , choose its lift . It is unique because two lifts differ by an element of , which is zero. For , the discrepancy
belongs to , so it vanishes. Also . Therefore is a linear map and its image is a vector subspace with . This establishes lifting a subspace through a Freiman model without assuming that arbitrary choices of preimages preserve addition.
Finally, is a union of -cosets. The number of these cosets is at most
Choose representatives from . Then , so adjoining these representatives and to gives a vector subspace containing . Over , adjoining each vector multiplies the size by at most two. Since , the Freiman-Ruzsa bound from Bogolyubov and linear modelling yields
This bound depends only on , as required, and every sumset estimate used in its derivation has been proved.
The Fano plane has as points the seven nonzero vectors of , because every one-dimensional vector subspace has just one nonzero vector. Its lines are the seven two-dimensional vector subspaces. Every line has three points, every point lies on three lines, two points determine the line , and two lines meet in one point.
The two order-24 classes are therefore stabilizer subgroups of points and of lines. Each is isomorphic to : fixing a vector gives the block group , the full affine group on four points; inverse transpose gives the dual line stabilizer subgroup. Their distinct fixed-point behavior in part (i) distinguishes the two conjugacy classes.
For a point and line , stabilizes the ordered pair . There are incident pairs and nonincident pairs. A change of basis takes any pair to a fixed model of its type, so each type is a single orbit. Orbit-stabilizer theorem gives the Fano point-line stabilizer intersection:
Both occur: take and choose or .
Figure 1.
Fano plane with incident and nonincident point-line pairs
. Details.
For the extension, identify vectors and covectors by the standard pairing. The inverse-transpose automorphism exchanges a point with its orthogonal plane and exchanges the two order-24 classes. Thus it is outer. The Fano plane duality group has order 336 and acts on points and lines, preserving incidence while allowing their types to be swapped.
The stabilizer subgroup of an unordered point-line pair has twice the corresponding ordered-pair stabilizer subgroup: some element outside swaps the pair, since duality produces a pair of the same incidence type and is transitive on such pairs. Hence these stabilizer subgroups have orders 16 and 12. Also every outside conjugate of a Sylow 7-subgroup can be moved back by an element of , giving
We prove these exhaust the maximal subgroups other than . Let be such a maximal subgroup and . Since is not contained in , is normal in and . If , part (i) gives a unique Sylow 7-subgroup of . It is characteristic in , hence normalized by . Therefore maximality forces .
Suppose and . The classification argument in part (i) says fixes a point or a line. Because is normal in , an element outside swaps its fixed-point and fixed-line sets, so it fixes at least one of each. Write
Fixed lines are kernels of fixed nonzero covectors, since the only nonzero scalar is one. Duality gives , hence .
If , there is a unique fixed point and unique fixed line; preserves their unordered pair. If , put and . For every , contains the plane and lies in the line . Over there is only one nonzero linear map , so has order two. Invertibility forces : for one needs . Thus and are its unique image point and kernel line. These are canonically swapped by duality, so again preserves their unordered incident pair.
If , then has order two, generated by an involutory duality . For any point , the pair is preserved by . Hence lies in an order-12 or order-16 pair stabilizer subgroup and is not maximal. We have exhausted all cases.
The pair stabilizer subgroups are themselves maximal: a proper maximal overgroup is one of the just-listed types, and divisibility excludes orders 12 inside 16 or 42, and 16 inside 12 or 42. The order-42 normalizer is maximal by the unique-Sylow argument. Incidence types give one conjugacy class each; Sylow conjugacy gives one normalizer class. Thus, apart from the normal index-two subgroup ,
Work in the finite-group setting. If is maximal in a nonabelian simple , then : otherwise every nonidentity element would generate , forcing a cyclic group of prime order. Choose a minimal normal subgroup of . Every characteristic subgroup of is normal in , so minimality makes a characteristically simple group. Its normalizer contains . By maximality it is or , and the latter would make a nontrivial normal subgroup of the simple group , impossible because . This proves the maximal subgroup normalizer criterion:
For , stabilizer subgroups have order 12. Stabilizer subgroups of a two-element subset have order , and are isomorphic to ; for example . The normalizer of a Sylow 5-subgroup has order 10: its normalizer in has order , and exactly half its permutations are even, since a multiplier of order four on is an odd four-cycle. This gives a dihedral group of order 10.
To prove completeness, an intransitive subgroup either fixes a point, or its orbits on five letters have sizes two and three. It therefore lies in one of the first two types. A transitive proper subgroup has order divisible by 5. Its number of Sylow 5-subgroups is one or six, since has six and the count is modulo 5. A count of six would make , forcing an index-two subgroup and contradicting Simplicity of the alternating group A5. Therefore normalizes its unique Sylow 5-subgroup and lies in the order-ten normalizer.
Stabilizer subgroups are maximal because their index is prime. The order-ten group is transitive and cannot have a larger proper transitive overgroup by the preceding argument. The order-six group has no fixed point, cannot lie in a stabilizer subgroup, and cannot lie in the order-ten type because 3 does not divide 10. Thus all three types are maximal. is transitive on points and on unordered pairs, while Sylow conjugacy handles the normalizers. Consequently
Now let . Choosing independent columns gives . Its simplicity follows from the elementary projective-transvection proof in part 4(i), which does not use this subgroup classification.
A stabilizer subgroup and a plane stabilizer subgroup each have index seven and order 24. To construct the remaining type, identify with and take the Singer cycle of multiplications by nonzero field elements, of order seven. Any linear map commuting with a primitive multiplication commutes with all of , so its centralizer is precisely . A normalizer sends a primitive element to another root of its minimum polynomial, namely . The Frobenius map realizes those three choices. Hence
If for a proper , its Sylow count is one or eight. Eight would make , hence . Its index-three coset action would inject the simple group into : the kernel is normal and cannot be all of . This is impossible. Thus normalizes a unique Sylow 7-subgroup and lies in the order-21 normalizer.
If , its order divides 24. In its action on seven nonzero vectors, an odd orbit has size one or three. A one-point orbit gives a fixed point. If a three-point orbit is collinear, it is the set of nonzero vectors of an invariant plane. If its three vectors are independent, their nonzero sum is fixed by . Thus lies in a point or plane stabilizer subgroup.
The index-seven stabilizer subgroups are maximal, and any proper overgroup of the order-21 normalizer would again have a unique Sylow 7-subgroup and normalize that same subgroup, so the normalizer is maximal too. The point and plane stabilizer subgroups are not conjugate: a stabilizer subgroup fixes a point, whereas a plane stabilizer subgroup is transitive on its three internal points and its four external points, so fixes no point. Each type is one conjugacy class. We have proved maximal subgroups of GL3 over F2:
Let . The general linear group over a finite field consists of all invertible linear maps , and the special linear group over a finite field is its determinant-one subgroup. Counting the ordered bases gives
The determinant map is onto , since has determinant . Its kernel is , so
For , commuting with all the elementary transvection matrices forces a matrix to be scalar. Therefore the center of a group of consists of with . The multiplicative group of a finite field is cyclic, so this center of a group has size . The projective special linear group over a finite field consequently has order
Here is a proof of simplicity which isolates all the required ingredients. First we prove the Iwasawa simplicity lemma in the form needed. Suppose a group acts faithfully and primitively, is a perfect group, and has an abelian subgroup normal in a stabilizer subgroup , whose conjugates generate . For a nontrivial normal subgroup , its orbits form a block system. Faithfulness prevents all these orbits from being singletons, so primitivity makes transitive. Thus . Modulo , each conjugate of has exactly the same image as , because we may write its conjugating element as with and . The quotient is generated by this one abelian image and hence is abelian. Since is a perfect group, . Thus every nontrivial normal subgroup is .
Apply this to the action on projective points, that is, one-dimensional vector subspaces of . Any ordered pair of distinct lines can be sent to any other by a linear map obtained by extending representatives to bases. Multiplying one target basis vector by a suitable nonzero scalar adjusts the determinant to one without changing either target line. Thus is two-transitive on these points. A linear map fixing every line is scalar: it is diagonal on a fixed basis, and fixing the lines spanned by makes all diagonal entries equal. The projective quotient therefore acts faithfully, two-transitively, and primitively.
For the line , use
These matrices multiply by addition of , so is abelian. Conjugating by a matrix preserving preserves , so it is normal in that stabilizer subgroup. Its conjugates include every elementary transvection matrix .
These elementary transvection matrices generate by row elimination. For completeness, row addition is elementary, signed row interchange is elementary, and compensating diagonal scalings are elementary because, in a two-dimensional coordinate block,
Elimination using these operations reduces a determinant-one matrix to the identity.
It remains to show that these groups are perfect groups. In the following matrix identities use ; the alternative group commutator convention generates the same commutator subgroup. If , distinct indices give the group commutator identity
Every elementary generator is therefore a group commutator. For and , choose with , and let . Then
As varies this supplies all upper elementary transvection matrices, and conjugation supplies the lower ones. Thus , and its projective quotient, are perfect in the asserted cases. The preceding simplicity argument now applies.
The two exceptions are genuine: the projective actions identify with and with , of orders 6 and 12 respectively. The first contains its normal subgroup of order 3; the second contains the normal Klein four group. We have proved
The Grassmann graph is connected, and its distance can be determined directly. Put , , and . Choose vectors so that
The vectors of a basis of , followed by all the and , are independent: a relation would identify a vector in the two chosen complements modulo , contradicting . For define
Each successive pair has an intersection of dimension . Thus and are joined by a path of length .
For the lower bound, if two vertices are adjacent, their common vector subspace has codimension one in each. Both and lie between and . Thus one edge can change the dimension of the intersection with by at most one. It must change from to along a path from to , requiring at least edges. Therefore
If two ordered pairs have equal distance, their intersections have equal dimension. Construct adapted bases for each pair as above and extend both to bases of the ambient vector space. The invertible linear map between them sends the first ordered pair to the second. It preserves intersection dimensions, so it is a graph automorphism. This proves that the Grassmann graph is distance-transitive, with the required simultaneous images. Its diameter is , because permits two disjoint -dimensional vector subspaces.
True. In the norm topology on the unit ball, the set is a neighbourhood of zero. If the relative weak topology agrees with it, there are finitely many continuous linear functionals and positive such that
If contained a nonzero vector, rescaling it to have norm would put it in the left-hand set but not the right-hand set. Therefore . The linear map
is injective into a finite-dimensional scalar space, so
This proof works for either the open or closed unit-ball convention and does not require completeness.
Let and . The Euclidean isometry fixes the origin and preserves norms. The polarization identity therefore gives . In particular, are an orthonormal basis. The coefficients of in this basis are , so . Thus is a linear map represented by an orthogonal matrix, and . Conversely, every such map preserves distances because .
When , the real eigenvalues of the two-dimensional orthogonal matrix are . Choose corresponding unit eigenvectors , and write . In these coordinates . This is reflection in the line , followed by translation along that line. It is a Euclidean reflection if , and a glide reflection if .
The vector triple product identity gives . Decompose , where and . Then
The linear map acts as the identity on and as multiplication by along . Consequently it is invertible exactly when , with
Applying to this expression recovers the perpendicular and parallel components of separately.
For a binary linear code , its rank is its dimension of a vector space . Use the weight enumerator convention
where is the Hamming weight. This convention is essential here: counts words of weight , rather than zero words. There are codewords, so .
There is only one binary word of weight , namely . Thus precisely when . If this holds, the linear map is a bijection of and replaces weight by ; hence . Conversely this symmetry gives , because the zero word is the unique word of weight zero.
The repetition code consists of , giving
The single parity-check code consists of all words of even weight. Exactly words have weight , so the binomial theorem gives
On a -dimensional symplectic manifold, a completely integrable Hamiltonian system has first integrals in involution whose differentials are independent almost everywhere, hence on a dense open regular set:
An equivalent formulation allows to be a function of the commuting independent integrals. The independence requirement is on the regular set, permitting exceptional critical points and singular fibres.
For example, on take with and . The disjoint coordinate pairs make all Poisson brackets zero, and the differentials are independent whenever no pair vanishes. Replacing by is an invertible linear map of this list. Thus for give the required example. Irrational frequency ratios affect orbit density, but not complete integrability.
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.
For a linear map , its kernel and image of a linear map are
The kernel is a subspace of the domain and the image a subspace of the codomain. Given the stated bases, define the matrix of a linear map by
Its th column is the coordinate vector of ; if , the output coordinates are .
For the change of basis, write and . The matrices are invertible. Input coordinates change by and output coordinates by , so
The domain and codomain basis changes need not be the same matrix.
For , the two input vectors form a basis of , so its image is the span of and . The vector is orthogonal to both, since . Every possible output therefore satisfies , whereas the target itself is and . Hence there is no with the required output. This uses an image obstruction by an annihilating functional, rather than an inconsistent guessed input.
For , use the input basis , , . Its determinant is , so it is genuinely a basis. Write . Then
Substitution back into physical coordinates gives
For a direct check, its standard matrix is , which annihilates exactly that line.
Construct the matrix of a linear map by expressing the images of the basis vectors in that same basis:
Thus the th column is . For , linearity gives
The column is a coordinate vector; reconstructing the actual vector requires . This distinguishes the linear map from its basis-dependent matrix.