This paper develops an algebraic framework for complex dilatation and Beltrami forms over quadratic field extensions, generalizing classical geometric notions to a broader algebraic context with invariant properties.
Contribution
It introduces an algebraic analogue of complex dilatation and Beltrami forms over quadratic field extensions, providing an invariant and generalized approach.
Findings
01
Establishes a relationship between conformal dilatation and Beltrami form over quadratic extensions.
02
Shows that working with general field extensions clarifies algebraic aspects without added difficulty.
03
Provides an invariant version of the classical geometric approach to complex dilatation.
Abstract
The paper is devoted to an algebraic analogue of a geometric approach to the classical notion of complex dilatation suggested in the paper arXiv:1701.06259 [math.CV] by the author. At the same time it provides an invariant version of this geometric approach. From the algebraic point of view it is only natural to work with a general field extension K/k of degree 2 instead of the fields of real and complex number (under the assumption that the characteristic is not equal to 2). Given a k-linear map between two K-vector spaces of dimension 1 over K, there are two natural measures of deviation of this map from being K-linear: its conformal dilatation, defined in terms of quadratic forms over k, and its Beltrami form, directly generalizing the classical complex dilatation. It turns out that these two measures are related in the same way as in the classical case. Working with a general…
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TopicsMathematics and Applications · Advanced Topics in Algebra · Algebraic Geometry and Number Theory
1****3. Quadratic forms in dimension 1 over \mathboldK
1****4. The structure of a \mathboldK-vector space on \mathboldA(V)
1****5. Conformal structures
1****6. Anti-linear maps
1****7. The structure of Homa(V,V)
1****8. The conformal dilatation and the Beltrami forms
1****9. Identification of M(V) with Homa(V,V)
10. Comparing \mathboldc(f) and μf
References
Introduction
The motivation.
The present paper grew out of the desire to present an invariant treatment of
the geometric interpretation of the complex dilatation suggested in [I] . The main part of [I] is devoted to the real linear maps \mathboldC⟶\mathboldC and heavily uses the standard basis 1,i of \mathboldC as a real vector space. Only the last section of [I] is devoted to
the general case of real linear maps V⟶W, where V,W are two complex vector spaces of dimension 1, and this case is treated by a reduction to the case \mathboldC⟶\mathboldC. This approach
served well to the goals
of the paper [I] ; see [I] , the end of the Introduction.
A recent paper of M. Atiyah [A] reminded the author
that a truly invariant approach requires more than just dealing with maps V⟶W from the very beginning . Namely, to quote M. Atiyah, “one should not distinguish between i and −i whereas one can distinguish between 1 and −1”. An attempt to follow this maxim quickly lead to the realization that one should distinguish between −1 as a purely additive notion and i2.
Since i2=−1 anyhow, the only sensible way to distinguish −1 and i2 is to abandon the axiom i2+1=0 and
replace \mathboldC,\mathboldR by two fields \mathboldK,\mathboldk such that \mathboldK is an extension of \mathboldk of
degree [\mathboldK:\mathboldk]=2. Since quadratic forms behave differently in characteristic 2, it is reasonable to assume that the characteristic of \mathboldk is =2.
This paper is devoted to an analogue of the theory of [I] in this situation, independent on any choices of bases. Working with a general field extension \mathboldK/\mathboldk does not lead to any new difficulties compared to the classical case \mathboldK/\mathboldk=\mathboldC/\mathboldR, but only clarifies the theory. In the rest of the introduction is devoted to an outline of this analogue.
Conformal structures and conformal dilatation.
For a vector space V over \mathboldk we denote by Q(V) the vector space of all quadratic forms on V. A conformal structure on V
is a non-zero quadratic form on V considered up to
multiplication by non-zero elements of \mathboldk, i.e. a point in
the projective space PQ(V) associated with Q(V). If dimV=2, then PQ(V) is a projective plane and
the set C(V)⊂PQ(V) of conformal structures corresponding to degenerate quadratic forms
is a conic in PQ(V). In other terms, C(V) is defined by a homogeneous equation
of degree 2.
This paper is concerned mostly with
vector spaces V of dimension 1 over \mathboldK, considered as a vector spaces over \mathboldk. There is a canonical conformal structure on any such V, denoted by cV. It is invariant
under the multiplication by non-zero elements of \mathboldK.
Let A(V) be the projective line polar ***In the main part of the paper the notion of polarity is not used
and A(V) is defined differently . Theorem 3. Quadratic forms in dimension 1 over \mathboldK implies that
the two definitions are equivalent . to cV with respect to the conic C(V). Then
[TABLE]
is an affine plane containing cV. One can turn M(V) into a vector space over \mathboldk
by designating cV as its zero vector . The structure of a vector space of dimension 1 over \mathboldK on V allows to extend this structure of a vector space over \mathboldk on M(V) to a structure of a vector space over \mathboldK on M(V) in a canonical manner . There is a canonical quadratic form D:M(V)⟶\mathboldk equal to 1 on the conic C(V).
Let f:V⟶W be a map linear over \mathboldk between vector spaces V,W of dimension 1 over \mathboldK. A natural measure of the distortion of the canonical conformal structure by f is
the pull-back \mathboldc(f)=f∗cW∈PQ(V), called the conformal dilatation of f.
Anti-linear maps and Beltrami forms.
Since [\mathboldK:\mathboldk]=2, there is only one non-trivial automorphism of \mathboldK fixed on \mathboldk, which is denoted by z⟼z.
Let V,W be vector spaces of dimension 1 over \mathboldK. A map g:V⟶W is said to be anti-linear if
it is linear over \mathboldk and g(zv)=zg(v) for all z∈\mathboldK, v∈V. Such maps form a vector space Homa(V,W) over \mathboldK. There is a canonical quadratic form
[TABLE]
In view of Lemma 7. The structure of Homa(V,V) it can be defined by D(g)=−detg, where the determinant is taken over \mathboldk.
If a map f:V⟶W is linear over \mathboldk, then f=Lf+Af, where Lf is linear over \mathboldK and Af is anti-linear . Moreover , the maps Lf,Af are uniquely determined by f. If Lf=0, then Lf is invertible and the composition
[TABLE]
is a natural measure of failure of f to
be linear over \mathboldK, called the Beltrami form of f.
Comparing the conformal dilatation and Beltrami forms.
The results of [I] suggest that \mathboldc(f) and μf should be related by an analogue of the map
relating the Klein and the Poincaré models of the hyperbolic plane. As it turns out , this is indeed the case.
There is a canonical isomorphism of M(V) and Homa(V,V) as vector spaces over \mathboldK. Moreover , this isomorphism turns
the quadratic forms D, D one into the other . One can use this isomorphism to identify M(V) and Homa(V,V).
Let f:V⟶W be a map linear over \mathboldk. The map f is called regular if \mathboldc(f)∈M(V), and exceptional otherwise. The exceptional maps are a new feature of the general case. If the extension \mathboldK/\mathboldk resembles enough
the classical case of \mathboldC/\mathboldR, then all non-zero maps f are regular . This is the case if the field \mathboldk is ordered and \mathboldK
is obtained by adjoining a root of a negative element to \mathboldk, as it easily follows from Theorem 10. Comparing \mathboldc(f) and μf.
Suppose that Lf=0. If 1+D(μf)=0, then f is regular and
[TABLE]
after the identification of M(V) with Homa(V,V). See Theorem 10. Comparing \mathboldc(f) and μf. A simple calculation (see [I] , Corollary 3.3) shows that for \mathboldK=\mathboldC, \mathboldk=\mathboldR, and V=\mathboldC this relation between \mathboldc(f) and μf is the same as in [I].
If 1+D(μf)=0, then f is exceptional. In this case the relation between \mathboldc(f) and μf is even simpler . See Theorem 10. Comparing \mathboldc(f) and μf.
1. Bilinear and quadratic forms
Bilinear forms, their matrices and determinants.
Let us fix a vector space V over \mathboldk of finite dimension n
and a basis v1,v2,…,vn of V. A bilinear form φ:V×V⟶\mathboldk gives rise to
an n×n matrix M(φ)=(Mij(φ)) with the entries
[TABLE]
called the matrix ofφ with respect to the basis v1,v2,…,vn. The determinant
[TABLE]
is called the determinant of φ (with respect to the basis v1,v2,…,vn).
Change of basis.
If v1′,v2′,…,vn′ is some other basis of V, then
[TABLE]
for some invertible matrix A=(aij) and
[TABLE]
where M′(φ) is the matrix of φ with respect to the basis v1′,v2′,…,vn′, and At is the transposed matrix of A. Therefore
[TABLE]
where det′φ is the determinant of φ with respect to the basis v1′,v2′,…,vn′.
Bilinear forms and linear maps.
If f:V⟶V is a linear map, then
[TABLE]
where F=(fij) is the matrix of f in the basis v1,v2,…,vn. Together with the form φ the map f gives rise to a new bilinear form, the left product
[TABLE]
of f and φ. The matrix M(f⋅φ) of f⋅φ is equal to FM(φ), and hence
[TABLE]
where detf=detF is independent on the choice of the basis.
Non-degenerate bilinear forms.
A bilinear form φ gives rise to a linear map
[TABLE]
taking v∈V to the map w⟼φ(v,w). The form φ is said to be non-degenerate if φ is an isomorphism. As is well known, this condition is equivalent to detφ=0.
Suppose that φ,β are bilinear forms on V and φ is non-degenerate. By the previous paragraph, for every v∈V the homomorphism w⟼β(v,w) is equal to
[TABLE]
for a unique f(v)∈V. A trivial verification shows that f is linear
and hence β=f⋅φ.
Quadratic forms.
A bilinear form φ:V×V⟶\mathboldk is called symmetric if
[TABLE]
for all v,w∈V. A bilinear form
is symmetric if and only if its matrix is symmetric. A quadratic form on V
is a map q:V⟶\mathboldk of the form v⟼φ(v,v), where φ is a
symmetric bilinear form. The form φ is uniquely determined by q as
its polarization
[TABLE]
A quadratic form q is said to be non-degenerate if its polarization
is non-degenerate.
The Gram matrixG(q) of a quadratic form q is defined as the matrix of its polarization, and the determinant detq of q is defined as the determinant
of its polarization, i.e.
[TABLE]
A quadratic form q is non-degenerate if and only if detq=0.
The determinant map.
The set Q(V) of quadratic forms on V is a vector space over \mathboldk. The map q⟼G(q) is an isomorphism between Q(V) and the space of symmetric n×n matrices
with entries in \mathboldk. The determinants detq lead to the determinant map
[TABLE]
If det′ is the determinant map corresponding to
some other basis of V, then
[TABLE]
where A is the matrix defined as above. It follows that up to a multiplication by a non-zero constant the determinant map
is independent from the choice of basis of V.
Symmetric maps.
A linear map f:V⟶V is said to be symmetric with respect to a bilinear form φ if
[TABLE]
for all v,w∈V. If φ is symmetric, then φ(v,f(w))=φ(f(w),v) for all v,w∈V. It follows that f is symmetric with respect to a symmetric bilinear form φ if and only if the left product f⋅φ is symmetric.
Quadratic forms and symmetric maps.
A linear map f:V⟶V is said to be symmetric with respect to a quadratic form q on V if f is symmetric with respect to the polarization of q, i.e. if the bilinear form
[TABLE]
is symmetric. If q is a quadratic form with the polarization φ and f is a linear map symmetric with respect to q, then the productf⋅q is defined as the quadratic form with the polarization f⋅φ. Equivalently , the product of f and q is the map
[TABLE]
By applying (1.1) to f and the polarization φ of q, we see that
[TABLE]
Suppose that n is a non-degenerate quadratic form on V. Let p be an arbitrary quadratic form on V. Then there exist a unique linear map f:V⟶V such that
[TABLE]
for all v,w∈V. Since the polarization (v,w)p is symmetric, f is symmetric with respect to n. By taking v=w in the last displayed formula, we see that p=f⋅n. The map f is uniquely determined by the forms p,n. We will denote it by p/n.
The operations p⟼p/n and
f⟼f⋅n are mutually inverse in the sense that
[TABLE]
for all p∈Q(V) and all maps f:V⟶V symmetric with respect to n.
Anisotropic forms.
A quadratic form q is called anisotropic if q(v)=0 for v=0. Suppose that q is an anisotropic form with the polarization φ. If v=0, then the map w⟼φ(v,w) is non-zero because φ(v,v)=q(v)=0. It follows that φ is injective
and hence is an isomorphism. Therefore φ and q are non-degenerate.
The case of vector spaces of dimension 2.
Suppose now that the dimension of V is 2. Let v,w be a basis of V. If q∈Q(V), then
[TABLE]
is the Gram matrix of q with respect to the basis v,w. It follows that the determinant map det:Q(V)⟶\mathboldk with respect to the basis v,w has the form
[TABLE]
Therefore the determinant map itself is a non-degenerate quadratic form.
Orthogonality .
Two vectors v,w∈V are said to be orthogonal with respect to a form q∈Q(V) if (v,w)q=0, i.e. if
[TABLE]
Suppose now that the dimension of V is 2. Let p,q be two quadratic forms on V. They are said to be orthogonal if p,q are orthogonal with respect to
a determinant map det considered as
a quadratic form on Q(V), i.e. if
[TABLE]
Since different determinant maps differ by the multiplication
by a non-zero element of \mathboldk, the property (1.3) does not depend on the choice
of the determinant map.
1.1. Theorem.Let V be a vector space over \mathboldk of dimension 2 and let p,q∈Q(V).
Suppose that v,w is a basis of V orthogonal with respect to p. Then the forms p,q are orthogonal with respect
to any determinant map if and only if
[TABLE]
Proof**.** By the remark preceding the theorem, it is sufficient to consider the orthogonality with respect to determinant map
defined by the basis v,w.
The forms p,q are orthogonal
if and only if (1.3) holds, i.e. if and only if
[TABLE]
[TABLE]
The basis v,w is orthogonal with respect to p and hence (v,w)p=0 and
Since (p+q)(u)=p(u)+q(u) for all u∈V, the left hand side of (1.5) is equal to
[TABLE]
and hence (1.5) is equivalent to p(v)q(w)+q(v)p(w)=0. The theorem follows. ■
2. The norm and the trace
The norm and the trace.
Recall that z⟼z is the only
non-trivial automorphism of the field \mathboldK fixed on \mathboldk. Let N,tr:\mathboldK⟶\mathboldk be the maps
[TABLE]
Then N is the norm of the extension \mathboldK/\mathboldk and tr is the half of the trace of \mathboldK/\mathboldk. The map tr has the advantage of being equal to the identity on \mathboldk. If \mathboldK/\mathboldk=\mathboldC/\mathboldR, then z is the complex conjugate of z, tr(z)=\mboxRez and N(z)=∣z∣2.
The norm as a quadratic form on \mathboldK. Let
[TABLE]
Then ⟨z,u⟩ is a bilinear form on \mathboldK considered as a vector space over \mathboldk. Since
[TABLE]
for all z,u∈\mathboldK, the bilinear form ⟨z,u⟩ is symmetric. Since zz=tr(zz) for all z∈\mathboldK, it follows that N is a quadratic form on \mathboldK with polarization ⟨z,u⟩. Obviously, the quadratic form N is anisotropic and
hence is non-degenerate.
The orthogonal complement of \mathboldk.
Let \mathboldk⊥ be the orthogonal complement of \mathboldk in \mathboldK with respect to N, i.e. the set of all ρ∈\mathboldK such that ⟨ρ,a⟩=0 for all a∈\mathboldk. Since N is anisotropic, \mathboldk∩\mathboldk⊥=∅ and hence \mathboldK=\mathboldk⊕\mathboldk⊥. Since the dimension of \mathboldK over \mathboldk is equal to 2, the dimension of \mathboldk⊥ over \mathboldk is equal to 1.
The orthogonal complement \mathboldk⊥ is equal to
the kernel of tr:\mathboldK⟶\mathboldk, as it follows from the fact that ⟨ρ,a⟩=atr(ρ) for a∈\mathboldk. Therefore ρ∈\mathboldk⊥ implies that
[TABLE]
3. Quadratic forms in dimension 1 over \mathboldK
The framework.For the remaining part of the paper we will
assume that V is a vector space over \mathboldK of dimension 1 over \mathboldK. By the restriction of scalars we may consider V also as a vector space over \mathboldk. By a quadratic form on V we will understand a quadratic form on V
as a vector space over \mathboldk. As a vector space over \mathboldk
the vector space Q(V) of quadratic forms on V
depends only on the structure of V as a vector space over \mathboldk.
The norm-like quadratic forms.
A form n∈Q(V) is said to be norm-like if
[TABLE]
for all v∈V and z∈\mathboldK. Let \mathboldN(V) be the space of all norm-like forms on V.
The dimension of \mathboldN(V) over \mathboldk is equal to 1. Indeed, let v∈V and v=0. Then every element of V is equal to zv for some z∈\mathboldK and hence every norm-like form is determined by its value at v. On the other hand, for every a∈\mathboldk the map zv⟼N(z)a is a norm-like form and takes the value a at v.
Every non-zero n∈\mathboldN(V) is anisotropic and hence is non-degenerate. Indeed, if n(v)=0, then every non-zero element w of V is equal to zv for some non-zero z∈\mathboldK. Since N is anisotropic, together with (3.1) this implies that n(w)=0.
The polarization of any norm-like form n is closely related to
the polarization ⟨z,u⟩ of N. Let v∈V and z,u∈\mathboldK. Then
[TABLE]
Indeed, the maps z⟼n(zv) and z⟼N(z)n(v) are quadratic forms on \mathboldK. By (3.1) they are equal. Hence their polarizations are equal also. But the left and the right hand sides of (3.2) are nothing else but these polarizations.
3.1. Lemma.A quadratic form n on V is norm-like if and only if
[TABLE]
*for every v,w∈V and every z∈\mathboldK. *
Proof**.** Suppose that n is norm-like. We may assume that v=0. Then v is a basis of V over \mathboldK and hence w=uv for some u∈\mathboldK. The identity (3.2) implies that
[TABLE]
[TABLE]
On the other hand, tr(zu)=tr(zu)=tr(1⋅zu) and hence
[TABLE]
By combining these equalities
we see that (3.3) holds. Conversely , if (3.3) holds, then
[TABLE]
and hence n(zv)=N(z)n(v) for all z∈\mathboldK, v∈V. ■
The anti-norm-like quadratic forms.
A form q∈Q(V) is said to be anti-norm-like if
[TABLE]
for all v∈V and ρ∈\mathboldk⊥. Let \mathboldA(V) be the space of all anti-norm-like forms on V.
As in the case of norm-like forms, the identity (3.4) can be extended to the polarizations. Let q is an anti-norm-like form. Let v,w∈V and let ρ∈\mathboldk⊥. Then
[TABLE]
Indeed, the maps v⟼q(ρv) and v⟼−N(ρ)q(v) are quadratic forms on V. By (3.4) they are equal. Hence their polarizations are equal also. But the left and the right hand sides of (3.5) are nothing else but these polarizations.
3.2. Lemma.A quadratic form q on V is anti-norm-like if and only if
[TABLE]
*for every v,w∈V and every z∈\mathboldK. *
Proof**.** Suppose that q is anti-norm-like. Every z∈\mathboldK has the form z=a+ρ, where a∈\mathboldk and ρ∈\mathboldk⊥. If ρ=0, then z=a∈\mathboldk and hence (3.6) holds. If ρ=0, then ρ−1 is defined
and (3.5) implies that
[TABLE]
On the other hand , (av,w)q=(v,aw)q because a∈\mathboldk. Therefore
[TABLE]
It follows that (zv,w)q=(v,zw)q, i.e. the identity (3.6) holds.
Suppose now that (3.6) holds. If v∈V and ρ∈\mathboldk⊥, then
[TABLE]
and hence q(ρv)=ρ2q(v). It follows that q is anti-norm-like. ■
3.3. Theorem.
*\mathboldA(V) is equal to the orthogonal complement of \mathboldN(V) in Q(V). *
Proof**.** Suppose that n∈\mathboldN(V), n=0. Let v∈V, v=0. Since n is non-zero, the property (3.1) implies that n(v)=0. Let ρ∈\mathboldk⊥. Then (3.2) implies that
[TABLE]
and hence ρv is orthogonal to v with respect to n.
4. The structure of a \mathboldK-vector space on \mathboldA(V)
The multiplication maps.
For z∈\mathboldK let mz:V⟶V be the map
[TABLE]
We consider mz as a map linear over \mathboldk (although it is linear over \mathboldK also). Then
[TABLE]
If V=\mathboldK, this is a well known result of the Galois theory . Since V is isomorphic to \mathboldK as a vector space over \mathboldK, this special case implies the general one.
The anti-norm-like quadratic forms and the multiplication maps.
Suppose that q is an anti-norm-like quadratic form on V and let z∈\mathboldK. Lemma 3. Quadratic forms in dimension 1 over \mathboldK implies that mz is symmetric with respect to q, and hence the product mz⋅q is defined.
4.1. Lemma.If q is an anti-norm-like quadratic form on V and z∈\mathboldK, then the product mz⋅q is also anti-norm-like.
Proof**.** Let ρ∈\mathboldk⊥. By applying (3.5) to zv,v in the roles of v,w, we see that
[TABLE]
[TABLE]
It follows that mz⋅q is anti-norm-like. ■
4.2. Lemma.If q is an anti-norm-like quadratic form on V and z∈\mathboldK, then
[TABLE]
*for every determinant map det:Q(V)⟶\mathboldk. *
Proof**.** It is sufficient to combine (1.2) with (4.1). ■
The structure of a vector space over \mathboldK on \mathboldA(V).
Let us define the multiplication (z,q)⟼zq of forms q∈\mathboldA(V) by elements z∈\mathboldK by the formula
The multiplication mz is used instead of the more natural mz in order to avoid z in Lemma 6. Anti-linear maps. This makes the identification maps from Section 10. Comparing \mathboldc(f) and μf linear over \mathboldK.
5. Conformal structures
Conformal structures.
A conformal structure on a vector space U over \mathboldk is defined
as a non-zero quadratic form on U
considered up to multiplication by a non-zero element of \mathboldk. The conformal structure determined by q∈Q(U) is called the conformal class of q
and is denoted by [q]. It is called non-degenerate if the form q is non-degenerate. The set of all conformal structures on U is nothing else but the projective spacePQ(U) associated with the vector space Q(U) of quadratic forms on V.
Conformal structures in dimension 1 over \mathboldK.
The conformal class cV=[n] of a non-zero n∈\mathboldN(V) does not depend on the choice of n and is called the canonical conformal structure on V. A conformal structure on V is called exceptional if it is equal to the conformal class [q] of a non-zero q∈\mathboldA(V), and regular regular otherwise.
Let P\mathboldA(V)⊂PQ(V) be the set of the exceptional conformal structures, i.e. be the set of conformal classes [q] of quadratic forms q∈\mathboldA(V). Its complement
[TABLE]
is the set of all regular conformal structures on V. The set P\mathboldA(V) is a line in
the projective plane PQ(V), and its complement M(V) is an affine plane.
The structure of a vector space
over \mathboldK on M(V).
Let n∈\mathboldN(V), n=0. The map q⟼[n+q] is a bijection \mathboldA(V)⟶M(V). One can use it to transfer the structure of a vector space over \mathboldK from \mathboldA(V) to M(V). The resulting multiplication by elements z∈\mathboldK is given by the formula
[TABLE]
While the bijection \mathboldA(V)⟶M(V) depends on the choice of n, an immediate verification shows that the resulting multiplication does not . Therefore, the above construction defines a canonical
structure of a vector space
over \mathboldK on M(V). The canonical conformal structure cV on V serves as the zero of this vector space.
A canonical quadratic form on M(V).
Every point of M(V) has the form [n+q], where n∈\mathboldN(V), n=0, and q∈\mathboldA(V). Let us define a map D:M(V)⟶\mathboldk by
[TABLE]
If [n′+q′]=[n+q], then n′=an, q′=aq for some a∈\mathboldk, and hence
[TABLE]
It follows that D is correctly defined. If we temporarily fix n and identify M(V) with \mathboldA(V) by the map q⟼[n+q], then D turns into the map −det/detn restricted to \mathboldA(V). Since det is a quadratic form, this implies that D is a quadratic form on M(V). Lemma 4. The structure of a \mathboldK-vector space on \mathboldA(V) implies that D is norm-like.
6. Anti-linear maps
Anti-linear maps.
Let U,W be vector spaces over \mathboldK, and let f be a map U⟶W linear over \mathboldk. The map f said to be anti-linear over \mathboldK, or simply anti-linear if
[TABLE]
for all z∈\mathboldK, u∈U. Let Homa(U,W) be
the space of all anti-linear maps U⟶W.
6.1. Lemma.If f∈Homa(V,V) and n∈\mathboldN(V), then f is symmetric with respect to n.
Proof**.** If v,w∈V and v=0, then w=zv for some z∈\mathboldK, and
6.2. Lemma.
*Let n∈\mathboldN(V), n=0. If f:V⟶V is anti-linear , then f⋅n is defined and f⋅n∈\mathboldA(V). Conversely , if q∈\mathboldA(V), then f=q/n is anti-linear . *
Proof**.** If f:V⟶V is anti-linear , then by Lemma 6. Anti-linear mapsf is symmetric with respect to n and hence f⋅n is defined. Let q=f⋅n. If z∈\mathboldK and v,w∈V, then
[TABLE]
by anti-linearity of f and the definition of q, and
Suppose now that q∈\mathboldA(V). Since n is non-degenerate, the map f=q/n:V⟶V is defined and is symmetric with respect to n. If z∈\mathboldK and v,w∈V, then
for all z∈\mathboldK and all v,w∈V. Since n is non-degenerate and w is arbitrary , it follows that f(zv)=zf(v) for all z∈\mathboldK, v∈V, i.e. that f is anti-linear . ■
6.3. Lemma.Let n∈\mathboldN(V), n=0. If f∈Homa(V,V) and z∈\mathboldK, then
[TABLE]
Proof**.** Let q=f⋅n and p=(zf)⋅n. Let v,w∈V. Then
[TABLE]
by the definition of the product zq. On the other hand, (zf)(v)=zf(v)=f(zv) by the definition
of the product zf and the anti-linearity of f and hence
[TABLE]
by the definition of p and q. It follows that p=zq, i.e. (zf)⋅n=z(f⋅n). ■
7. The structure of Homa(V,V)
The structure of a vector space over \mathboldK on Homa(V,V).
The product zf of an element z∈\mathboldK with f∈Homa(V,V) is defined by the formula
[TABLE]
Obviously , this operation turns Homa(V,V) into a vector space over \mathboldK. Since the dimension of V over \mathboldK is 1, an anti-linear map V⟶V is determined by
its value on any given non-zero v∈V. It follows that the dimension of Homa(V,V) over \mathboldK is also 1, and hence any non-zero g∈Homa(V,V) is a basis of Homa(V,V).
The composition (f,g)⟼f∘g is a hermitian map
[TABLE]
in the sense that it is bilinear and (zf)∘(ug)=zu(f∘g) for all z,u∈\mathboldK.
A canonical bilinear form on Homa(V,V).
Given f,g∈Homa(V,V), let
[TABLE]
where the trace is taken over \mathboldk. Clearly , ⟨f,g⟩ is a bilinear form and since
[TABLE]
for all maps f,g:V⟶V linear over \mathboldk, this bilinear form is symmetric. Therefore
[TABLE]
is a quadratic form on Homa(V,V) having the form ⟨f,g⟩ as its polarization.
Reflections.
Let σ be the map z⟶z. Then σ is an anti-linear map \mathboldK⟶\mathboldK and σ∘σ=\mboxid\mathboldK. Since σ(a)=a for a∈\mathboldk and σ(ρ)=−ρ for ρ∈\mathboldk⊥, the determinant detσ over \mathboldk is equal to −1.
Since V is isomorphic to \mathboldK as a vector space over \mathboldK, it follows that there exist anti-linear maps g:V⟶V such that g∘g=\mboxidV and detg=−1. We will call any such anti-linear map V⟶V a reflection.
7.1. Lemma.
*If f∈Homa(V,V), then f∘f=D(f)\mboxidV and detf=−D(f), where the determinant is taken over \mathboldk. *
Proof**.** Let g∈Homa(V,V) be a reflection. Then g=0 and hence g is a basis of Homa(V,V). It follows that f=zg for some z∈\mathboldK and hence
[TABLE]
Therefore D(f)=Tr(f∘f)/2=N(z). It follows that f∘f=D(f)\mboxidV.
Since we already proved that D(f)=N(z), it follows that detf=−D(f). ■
8. The conformal dilatation and Beltrami forms
Pull-backs of quadratic forms.
Let U,U′ be
vector spaces over \mathboldk and f:U⟶U′ be a linear map. Let q∈Q(U′). The pull-backf∗q∈Q(U) is the quadratic form
[TABLE]
The pull-backs f∗q lead to a linear map f∗:Q(U′)⟶Q(U). If U′′ is one more vector space over \mathboldk and g:U′⟶U′′ is a linear map, then (g∘f)∗=f∗∘g∗. If f is an isomorphism, then f∗ is an isomorphism also.
If p∈Q(U′) and f∗p=0, then the conformal structure [f∗p] depends only on [p]. It is called the pull-back of p by f and is denoted by f∗[p].
The conformal dilatation.
Let W be another vector space of dimension 1 over \mathboldK
and let f:V⟶W be a non-zero map linear over \mathboldk. The pull-back
[TABLE]
of the canonical conformal structure cW on W is called the conformal dilatation of f.
The map f is called exceptional if the conformal structure \mathboldc(f) is exceptional , and regular otherwise. If f is regular , then we consider \mathboldc(f) as an element of M(V).
If the field extension \mathboldK/\mathboldk resembles enough
the classical case \mathboldC/\mathboldR, then all non-zero f are regular . For example, by using Theorem 10. Comparing \mathboldc(f) and μf it is not hard to prove that
this is the case if \mathboldk is an ordered field
and \mathboldK=\mathboldk(ρ) with ρ2<0.
The map f is called conformal if the pull-back by f of the canonical conformal structure on W is equal to the canonical conformal structure on V, i.e. if
[TABLE]
Since cV serves as the zero of M(V), the map f is conformal if and only if f is regular
and \mathboldc(f)=0∈M(V). In general, the conformal dilatation of f is a natural measure
of the distortion of the canonical conformal structure by f.
Linear maps over \mathboldk as sums of linear and anti-linear over \mathboldK maps.
Every map f:V⟶W linear over \mathboldk admits a unique presentation as a sum
[TABLE]
of a map Lf linear over \mathboldK and a map Af anti-linear over \mathboldK. Indeed, let ρ∈\mathboldk⊥, ρ=0. If f=Lf+Af is such a presentation of f, then
[TABLE]
and hence
[TABLE]
for all v∈V. This proves uniqueness. Conversely , one can define Lf and Af by the last displayed formulas. Since \mathboldk⊥ has dimension 1 over \mathboldk, this definition does not depend on the choice of ρ. We leave to the reader the verification that so defined maps Lf and Af are linear and anti-linear over \mathboldK respectively .
Beltrami forms.
Let f:V⟶W is a map linear over \mathboldk
such that Lf=0. Then
[TABLE]
is called the Beltrami form of f. The map f is linear over \mathboldK if and only if μf=0. In general, the Beltrami form of f is a natural measure of deviation of f from being linear over \mathboldK. It is a direct generalization of the classical
Beltrami forms from the theory of quasi-conformal mappings. See, for example, [H], Section 4.8.
9. An identification of M(V) with Homa(V,V)
An identification of M(V) with Homa(V,V).
Every conformal structure in M(V) has the form [n+q] for some non-zero n∈\mathboldN(V) and some q∈\mathboldA(V). Let
[TABLE]
be the map defined by the rule [n+q]⟼q/n. Since, obviously , aq/an=q/n for all non-zero a∈\mathboldk, this map is well defined.
Let us choose some n∈\mathboldN(V), n=0. Let
[TABLE]
be the map defined by the rule f⟼[n+f⋅n]. Since, obviously , f⋅(an)=a(f⋅n) and hence [an+f⋅(an)]=[a(n+f⋅n)]=[n+f⋅n] for all non-zero a∈\mathboldk, this map in fact does not depend on the choice of n.
Since the operations q⟼q/n and
f⟼f⋅n are mutually inverse, these two maps between M(V) and Homa(V,V) are mutually inverse bijections. Lemma 6. Anti-linear maps implies that the second map
is linear over \mathboldK. It follows that the first map is linear over \mathboldK also, and hence both of these maps are isomorphisms of vector spaces over \mathboldK. We will identify M(V) and Homa(V,V) by these isomorphisms.
The identification of the quadratic forms D and D.
Let det:Q(V)⟶\mathboldk be a determinant map. Let n∈\mathboldN(V), n=0. Suppose that f∈Homa(V,V) and let q=f⋅n. Then f is identified with the conformal class [n+f⋅n]=[n+q].
By applying (1.2) to f and to n in the role of q, we see that detq=detf⋅detn. Since detf=−D(f) by Lemma 7. The structure of Homa(V,V), it follows that
[TABLE]
On the other hand, by the definition (5.1) the quotient −detq/detn is nothing else but
the value of D on the conformal class [n+q] identified with f.
It follows that the pull-back of the quadratic form D by the map (9.2) is equal to D. Since the map (9.1) is equal to the inverse of (9.2), this implies that also the pull-back of the quadratic form D by the map (9.1) is equal to D.
In other words, the identification of M(V) and Homa(V,V) identifies the canonical quadratic forms D and D on these spaces.
10. Comparing \mathboldc(f) and μf
The framework.
Let V,W be two vector spaces over \mathboldK, and let f:V⟶W be a map linear over \mathboldk. Suppose that Lf=0 and let μ=μf be the Beltrami form of f.
10.1. Lemma.The conformal dilatation \mathboldc(f) of f is equal to the conformal class of
[TABLE]
*for any non-zero n∈\mathboldN(V). *
Proof**.** Since the conformal class of (1+D(μ))n+2μ⋅n does not depend on the choice of n=0, it is sufficient to prove the claim
only for one particular n=0.
Let m∈\mathboldN(W), m=0. By the definition, \mathboldc(f) is equal to the conformal class of f∗m. Let n=(Lf)∗(m). Then n∈\mathboldN(V) because Lf is linear over \mathboldK and n=0 because Lf=0 and m is anisotropic. It follows that (Lf−1)∗n=m and hence
[TABLE]
[TABLE]
[TABLE]
Let p=f∗m. By the above calculation p=(\mboxid+μ)∗n and hence
[TABLE]
[TABLE]
[TABLE]
By Lemma 6. Anti-linear maps the map μ is symmetric with respect to n. It follows that
It follows that f∗m=p=(1+D(μ))n+2μ⋅n. Since \mathboldc(f) is equal to the conformal class of f∗m, this proves the lemma. ■
10.2. Theorem.If 1+D(μ)=0, then f is regular , \mathboldc(f)∈M(V), and
[TABLE]
*after the identification of M(V) with Homa(V,V). *
Proof**.** If 1+D(μ)=0, then the quadratic form (10.1) does not belong to \mathboldA(V) and the conformal class of the form (10.1) is equal to the conformal class of
[TABLE]
In view of Lemma 10. Comparing \mathboldc(f) and μf, this implies that \mathboldc(f)∈M(V) and \mathboldc(f) is equal to the conformal class of (10.2). It remains to notice that conformal class is identified with
[TABLE]
10.3. Theorem.If 1+D(μ)=0, then f is exceptional , \mathboldc(f)∈P\mathboldA(V), and
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1[A] M. Atiyah, The non-existent complex 6 6 6 -sphere, ar Xiv:1610.09366 v 1, 2016, 7 pp.
2[H] J.H. Hubbard, Teichm ller Theory and Applications to Geometry, Topology, and Dynamics, Volume I: Teichm ller Theory , Matrix Editions, 2006, xx, 461 pp.
3[I] N.V. Ivanov, The geometric meaning of the conformal dilatation, ar Xiv:1701.06259, 2017, 20 pp.