A vector bundle morphism over is a smooth map with whose restriction is linear for every . A vector bundle isomorphism is such a map with a smooth bundle-morphism inverse. Equivalently, a fiberwise bijective smooth bundle morphism is an isomorphism: in local vector bundle trivializations it is multiplication by an invertible smooth matrix, and its inverse matrix is smooth.
For a diffeomorphism , define
The derivative is a linear isomorphism by the chain rule, since . In manifold charts, is represented by the smooth Jacobian matrix of , so it is a smooth bundle morphism. Its inverse is
which is also smooth and fiberwise linear. Consequently
This identifies the bundles over the same base ; the tangent map by itself is a map from to covering .
There is an orientation convention in this statement: the two volume forms must be positive for one fixed orientation, as is usual in Moser theorem for volume forms. Without that convention, the stated necessity is false. For example, on an oriented two-sphere, take a positive volume form and an orientation-reversing diffeomorphism , and set . Then but . We prove the intended result with a common orientation.
If , positivity forces to preserve the orientation, and integration of the pullback of a differential form gives equality of the integrals.
For sufficiency, top-degree de Rham cohomology gives a differential form of degree with . Put . Positivity makes every a volume form. The interior product of a differential form gives an linear isomorphism
Thus there is a unique smooth time-dependent vector field satisfying . Since is compact, its local flow exists throughout and defines a smooth isotopy starting at the identity. By Cartan's magic formula, and since a top-degree differential form has zero exterior derivative,
Hence
The zero-dimensional case, a single point, is immediate from equality of the integrals.
Use the decomposition into Lagrangian subspaces from part (a). The bilinear form pairs and nondegenerately: a vector in either summand annihilating the other already annihilates its own summand and hence all of , so is zero.
Choose a basis of . The linear map
is an linear isomorphism. Let correspond to the dual basis of the . Then , and the pairings within each summand vanish. Thus
Assume . Then
Set , choose a direct-sum complement such that , and choose a complement such that .
The restriction is injective because , and it is surjective because every image equals after decomposing . It is therefore a isomorphism, so and . Also . Hence
has all the required properties.
An invariant bilinear form defines a linear map
Invariance gives
so is an -homomorphism. Its kernel is a -subrepresentation of irreducible . Hence either , so , or is injective and therefore a linear isomorphism . In the latter case is a nondegenerate.
If and are two nonzero invariant forms, then
By Schur lemma, this endomorphism is scalar, so . Cases involving the zero form are immediate. Thus any two invariant bilinear forms are proportional.
A Schauder basis of a real Banach space is a sequence for which every has a unique norm-convergent expansion . Its basis projection is
and its basis constant is .
For the sequence space in the question, define
Convergence in the definition of makes well defined, and uniqueness of basis coefficients makes it a linear bijection. Moreover,
whereas
Thus is an isomorphism and, in particular, the displayed supremum really is a complete norm on .
The coordinate functional of a Schauder basis is
It is bounded because . On finite linear combinations of the , the nth partial-sum operator is the restriction of , since
The operators have norms at most , so the standard basis criterion shows that the dual sequence of a Schauder basis is a basic sequence in . For every and ,
which is precisely in the weak-star topology.
Suppose now that is a reflexive Banach space. If did not tend to zero, approximation by finite basis blocks would give a bounded block sequence and an such that . Reflexivity gives a weakly convergent subsequence. Every fixed coordinate functional is eventually zero on a block sequence, so its weak limit has every basis coordinate zero and is therefore zero. This contradicts . Hence in norm for every , so the basis is shrinking and is a basis of .
The converse fails. The standard basis of is shrinking because its dual sequence is the standard basis of , but is not reflexive.
Finally assume is a basis of . Map to
For ,
so . Conversely, if and , define
The limit exists: for ,
because is a basis. Also , so and . These two constructions are inverse and satisfy
Thus and are isomorphic.
Every vector space has a basis and is classified up to linear isomorphism by its dimension. Over a finite field, a vector is a finite linear combination of basis Elements. If the basis has infinite cardinality , the set of finite such combinations has cardinality : there are at least basis vectors and at most a countable union of finite powers of , each of size . Thus the underlying cardinality of an infinite space equals its dimension.
Any two models of cardinality therefore have bases of cardinality . A bijection between their bases extends uniquely to an -isomorphism. A space with that basis size exists, giving the required existence clause as well. Hence is categorical in every infinite cardinal.
For quantifier elimination for infinite underlying vector spaces, we first justify that formulas cannot make finer distinctions than their linear-equation data. In any infinite underlying vector space, eliminate an existential variable from a disjunction of conjunctions of linear equations and inequations. If an equation has a nonzero coefficient of that variable, solve for it and substitute. If none does, the inequations forbid only finitely many values, leaving an available value in the infinite domain; the remaining equations concern only the other variables. Terms are linear combinations, so induction gives quantifier elimination for and completeness, since closed terms reduce to zero.
For one variable there are two possible complete types, zero and nonzero. Both are isolated, and every definable set is their union. Thus
For types of pairs of vectors over a finite field, the linear relation kernel determines the complete type. If , the possibilities are one rank-zero pair, rank-one directions, and one rank-two independent type. Concretely these are ; with for each ; ; and the independent pairs. Their isolating formulas are finite because is finite. Hence
Every class is the union of a selection of these atoms. Basis extension also shows that pairs with the same relation kernel are conjugate by a linear automorphism within any infinite-dimensional model.
Fix , write , , and let on this interval. The Hermite interpolation conditions give both
Two applications of integration by parts therefore give
On this single cubic piece, the same calculation also gives
Here inside the interval, and all four endpoint values of are zero. Since , we obtain the exact identity
This is an integral inequality, with no assertion that the integrand on the left has one sign pointwise. The stronger nodal derivative conditions make the boundary terms vanish on each interval separately; part (i) only needed their cancellation after summing.
The stated Hermite interpolating polynomial exists uniquely in . Indeed, a polynomial in the kernel of a linear map of the value-and-derivative data map has a double root of a polynomial at each of distinct interpolation nodes. A nonzero such polynomial would have polynomial degree at least , which is impossible. The map is therefore an injective function and a linear map between vector spaces of the same finite dimension of a vector space, , and hence is a linear isomorphism. No higher smoothness of the original function is required to construct it.
An explicit illustration uses interpolation nodes , values , and zero derivatives at every interpolation node. The clamped cubic spline is on and its reflection on . Its Hermite interpolating polynomial is the quartic polynomial . On , , and the corresponding reflected formula holds on . Direct integration gives , , and , exactly as the energy identity predicts.
Define by . It is well-defined by the definition of , and
Thus is a linear map. If , comparing first components gives , proving injectivity. Every element of has the form , proving surjectivity. Hence is a linear isomorphism, with inverse , and .
After choosing ordered bases, identify a tensor with its matrix . This is a linear isomorphism between and the vector space of -by- matrices: each tensor-product basis element becomes the matrix with one entry equal to one and all others zero. In particular, a pure tensor has the outer product coefficient formula
Here on the right denote column coordinate vectors. The identification depends on the chosen bases, while the tensor itself does not. Over the complex numbers, the same formula uses the ordinary transpose , with no complex conjugation; replacing it by the conjugate transpose would conjugate the scalar in the second input, violating bilinearity.
Figure 1.
A pure tensor has an outer-product coefficient grid, while the identity grid needs two pure tensors
. Details.
On a compact connected oriented -dimensional smooth manifold without boundary, integration is a linear isomorphism . Thus two top-degree differential forms have the same de Rham cohomology class exactly when their integrals agree.