Kovacic Picard-Vessiot Theory

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    Picard-Vessiot theory, algebraic groups andgroup schemes

    Jerald J. KovacicDepartment of Mathematics

    The City College of The City University of New YorkNew York, NY 10031email: [email protected]

    URL: mysite.verizon.net/jkovacic

    September 30, 2005

    Abstract

    We start with the classical definition of Picard-Vessiot extension.We show that the Galois group is an algebraic subgroup of GL(n).Next we introduce the notion of Picard-Vessiot ring and describe theGalois group as spec of a certain subring of a tensor product. We shallalso show existence and uniqueness of Picard-Vessiot extensions, usingproperties of the tensor product. Finally we hint at an extension ofthe Picard-Vessiot theory by looking at the example of the Weierstra-function.

    We use only the most elementary properties of tensor products,

    spec, etc. We will define these notions and develop what we need. Noprior knowledge is assumed.

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    1 Introduction

    Throughout this talk we fix an ordinary -field Fof characteristic 0 and withalgebraically closed field of constants

    C = F

    If you want, you may assume that F= C(x) is the field of rational functionsof a single complex variable.

    I usually use the prefix - instead of the word differential. Thus I speak of

    -rings and -fields, -ideals, etc.

    2 Classical Picard-Vessiot theory

    We consider a linear homogeneous -equation

    L(y) = y(n) + an1y(n1) + + a0y = 0

    Definition 2.1. By a fundamental system of solutions ofL(y) = 0, we meana set 1, . . . , n of elements of some -extension field G ofF such that

    1. L(i) = 0,

    2. 1, . . . , n are linearly independent over C.

    We usually write = (1, . . . n) for the row vector.

    Definition 2.2. By a Picard-Vessiot extension for L we mean a -field Gcontaining F such that

    1. G = F = C,

    2. G = F1, . . . , n where 1, . . . , n is a fundamental system of solutionsof L(y) = 0.

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    Definition 2.3. Suppose that G is a Picard-Vessiot extension. Then the

    group of -automorphisms ofG over F,

    G(G/F) = - Aut(G/F)

    is called the Galois group ofG over F.

    Proposition 2.4. Suppose that G is a Picard-Vessiot extension. If G(G/F) then there is an invertible matrix c() with constant coefficients suchthat

    = c().

    The mappingc : G(G/F)

    GL(n)

    is an injective homomorphism.

    Proof. The easiest way to see this is to look at the Wronskian matrix.

    W =

    1 n1 n...

    ...

    (n1)1 (n1)n

    Because 1, . . . , n are linearly independent over C the Wronskian is invert-

    ible.

    A simple computation shows that

    W =

    1 n1 n...

    ...

    (n)1 (n)n

    =

    0 1 0 . . . . . . . 0... 0 1

    ...... 0

    . . ....

    .... . . 1 0

    0 . . . . . . . . . 0 1a0a1. . . . . .an2an1

    1 n1 n...

    ...

    (n1)1 (n1)n

    i.e.

    WW1 = A =

    0 1 0 . . . . . . . 0... 0 1...

    ... 0. . .

    ......

    . . . 1 00 . . . . . . . . . 0 1a0a1. . . . . .an2an1

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    The matrix A is called the companion matrix for L.

    Differentiatec() = W1W

    and you get 0, so c() GLC(n) = GL(C). The first row of W is so

    W = W c() implies that = c() .

    Suppose that , G(G/F). Then

    c() = W1(W c()) = W1(W)c() = c()c() ,

    because c() has constant coordinates and therefore is left fixed by . There-fore c is a homomorphism of groups. c is injective since G = F = F(W).

    3 Algebraic subgroups of GL(n)

    Here we take a classical point of view, later on we shall be more modernand use group schemes.

    We start by putting a topology on affine m-space

    Am = Cm

    Definition 3.1. A subset X ofAm is Zariski closed if there exists a finiteset of polynomials in m variables

    f1, . . . , f r C[X1, . . . , X m]

    such that X is the zero set of f1 = = fr = 0, i.e.

    X = {(a1, . . . , am) Cm | f1(a1, . . . , am) = = fr(a1, . . . , am) = 0} .

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    We can drop the adjective finite in the definition. Indeed X being the zero

    set of a collection fi (i I) of polynomials is equivalent to saying that X isthe zero set of the entire ideal

    a = ((fi)iI)

    and even the radical ideala = {f | fe a for some e N}

    By the Hilbert Basis Theorem this ideal is generated by a finite number ofpolynomials.

    Theorem 3.2. (Hilbert Nullstellensatz) There is a bijection between closedsubsets ofAm and radical ideals ofC[X1, . . . , X m].

    Now lets put a topology on GL(n), the set of invertible n n matrices withcoefficients in C. We do this by embedding GL(n) into An

    2+1:

    c11 c1n...

    ...cn1 cnn

    (c11, . . . , c1n, . . . , cn1, . . . , cnn, 1/ det cij) An2+1 .

    The image is closed, it is the zero set of

    det(Xij)Y = 1

    where Y is the (n2 + 1)st coordinate.

    Definition 3.3. A subset X GL(n) is Zariski closed is if it closed in thesubset topology as a subset ofAn

    2+1.

    Definition 3.4. A linear algebraic group is a closed subgroup of GL(n) forsome n.

    4 The Galois group of a Picard-Vessiot ex-

    tension

    In this section G is a Picard-Vessiot extension ofF.

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    Proposition 4.1. The image of

    c : G(G/F) GL(n)is an algebraic subgroup of GL(n).

    Proof. Let y1, . . . , yn be -indeterminates over F. This means that

    y1, . . . , yn, y

    1, . . . , y

    n, y

    1 , . . . y

    n, . . .

    is an infinite family of indeterminates over F. We use vector notation andwrite y = (y1, . . . , yn). Then

    F{y} = F[y, y, . . . ]is a polynomial ring in an infinite number of variables. There is a homomor-phism over F, called the substitution homomorphism, defined by

    : F{y} F{}yi iyi i

    ...

    Evidently, it is a -homomorphism. Let p be its kernel

    0 E p E F{y} E F{} E 0

    For C GL(n) we let C be the substitution homomorphismC: F{y} F{y}

    y yCThis means

    yi j yjCji .Lemma 4.2. C is in the image of c : G(G/F) GL(n) if and only if

    Cp p and C1p p(This is equivalent to Cp = p.)

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    Proof. Suppose that C = c() for some

    G(G/F). We have both

    = C and Cy = yC

    We have the commutative diagram:

    0 E p E F{y} E F{} E 0

    cC

    c

    0 E p E F{y} E F{} E 0

    To show that Cp p, we chase the diagram. If a p then a = 0 so0 = (a) = (Ca)

    which implies thatCa ker = p .

    We have shown thatCp p .

    For the other inclusion, use 1.

    Now suppose that Cp = p. Then there is a -homomorphism

    0 E p E F{y} E F{} E 0

    cC

    cC

    c

    0 E p E F{y} E F{} E 0In fact is defined by

    a = (CA), where A = a (a F{}, A F{y}) .Since y = , we have the matrix equation

    = (C(y)) = (yC) = C

    We can see that is bijective by diagram chasing. Tberefore extends to a-automorphism of the field of quotients

    : F = G G

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    So

    G(G/F) and since = C,

    c() = C .

    We think ofp as a vector space over F and choose a basis A for it. We alsoextend A to a basis B ofF{y} over F, so that A B.Lemma 4.3. There exist polynomials

    Qbc F[X11, . . . , X nn] b, c Bwith the property that for every C GL(n) and b B,

    C(b) =dB

    Qbc(C) d .

    Proof. We first examine how C acts on F{y}. Let M be the set of monomials,thus an element M ofM is a power product

    M =r

    k=1y

    (ek)ik

    fk

    of the yi and their derivatives. Since the coordinates of C are constants,

    C(y(e)i ) =

    k

    y(e)k Cki .

    The right hand side is linear combination of the y(e)i with coefficients that

    are coordinates of C. If we apply C to a monomial we will get productof these right hand sides which is a linear combination of monomials withcoefficients that are polynomials over Z in the coordinates of C. I.e. there

    exist polynomials

    PMN Z[X11, . . . , X nn] M, N Msuch that

    CM =NM

    PMN(C)N .

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    Because B and M are both bases ofF

    {y

    }over F, we can express each element

    of B as a linear combination over F of monomials, and, conversely, everymonomial as a linear combination over F of elements ofB. It follows thatthere exist polynomials

    Qbc F[X11, . . . , X nn] b, c Bwith the property that for every C GL(n) and b B,

    C(b) =dB

    Qbc(C) d .

    Lemma 4.4. There is a (possibly infinite) family of polynomials

    Ri F[X11, . . . , X nn, Y] i Isuch that C GL(n) is in the image of c if and only if

    Ri(C,1

    detC) = 0, i I

    Proof. We know, by Lemma 4.2, that C GL(n) is in the image of c if andonly if

    Cp p and C1p p .Recall that A is a basis ofp over F and, by the previous lemma,

    C(a) =b

    Qab(C) b

    so Cp p if and only ifQab(C) = 0 for every a A, b B, b / A .

    Similarly C1p p if and only if

    Qab(C

    1) = 0 for every a A, b B, b / A .

    Of course, the coordinates of C1 are 1detC

    times polynomials in the coordi-nates ofC. Thus there exist polynomials

    Rab F[X11, . . . , X nn, Y]

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    such that

    Rab(C, 1detC) = Qab(C

    1)

    To conclude the proof of the theorem we need to find polynomials as above,except that the coefficients should be in C not F.

    Choose a basis ofF over C. We then can write

    Ri =

    Si

    whereSi C[X11, . . . , X nn, Y] .

    If Ri(C,1

    detC) = 0 then

    0 =

    Si(C,1

    detC)

    Because the elements of are linearly independent over C, we must have

    Si(C,1

    detC) = 0 for all

    It follows from the previous lemma that C GL(n) is in the image of c ifand only if

    Si(C,1

    detC) = 0 for all i I and

    This proves the theorem.

    5 Matrix equations

    Starting with a linear homogeneous -equation (a scalar -equation) we chosea fundamental system of solutions 1, . . . , n and formed the Wronskian

    1 n...

    ...

    (n1)1 (n1)n

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    We discovered that

    W

    = AWwhere

    A =

    0 1 0 . . . . . . . 0... 0 1

    ...... 0

    . . ....

    .... . . 1 0

    0 . . . . . . . . . 0 1a0a1. . . . . .an2an1

    was a matrix with coefficients in F.

    We can also start with a matrix equation

    Y = AY

    where A MatF(n) is any matrix with coordinates in F, and look for asolution matrix Z that is invertible. The matrix Z is called a fundamentalsolution matrix for the matrix -equation.

    6 The Picard-Vessiot ring

    Let A MatF(n) be a given n n matrix with coefficients in F.Definition 6.1. By a Picard-Vessiot ring for A we mean an integral domainR such that

    1. (qfR) = F = C,

    2. R = F[Z, Z1] where ZZ1 = A MatF(n).

    Item 2 could also be written R = F[Z, 1detZ

    ]. There is a popular abuse of

    notation that writes R = F[Z,1det ].

    Proposition 6.2. If G = F = F(W) is a Picard-Vessiot extension, asbefore, thenR = F[W, W1] is a Picard-Vessiot ring.

    Conversly, ifR is a Picard-Vessiot ring then G = qfR is a Picard-Vessiotextension.

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    IfF contains a non-constant this is a consequence of the cyclic vector the-

    orem. IfF= C it must (and can be) proven by a different method.

    Definition 6.3. By the Galois group ofR over F, denoted G(R/F) we meanthe group of a -automorphisms ofR over F.

    Proposition 6.4. IfG = qfR, then G(R/F) = G(G/F).

    7 Differential simple rings

    Definition 7.1. Let R be a -ring. We say that R is -simple ifR has noproper non-trivial -ideal.

    In algebra (not -algebra) a simple (commutative) ring R is uninteresting.Indeed (0) is a maximal ideal and the quotient

    R/(0) = R

    is a field, i.e. R is a field. But in -algebra the concept is very important.

    Example 7.2. Let R = C[x] where x

    = 1 i s -simple. If a R is anon-zero -ideal then it contains a non-zero polynomial. Choose a non-zeropolynomial P(x) in a having smallest degree. But P a has smaller degree,so P = 0. But that makes P C so 1 a.

    Note that (0) is a maximal -ideal (there is no proper -ideal containing it)but is not a maximal ideal.

    More generally, ifR is any -ring and m a maximal -ideal ofR then R/mis -simple. It is a field if and only ifm is a maximal ideal.

    Proposition 7.3. LetR be a Picard-Vessiot ring. ThenR is -simple.

    Proposition 7.4. Suppose thatR is a -simple ring containingF. Then

    1. R is an integral domain, and

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    2. (qfR) = C.

    This suggests a way of creating Picard-Vessiot rings.

    Theorem 7.5. LetA MatF(n). Then there exists a Picard-Vessiot ringRfor A.

    Proof. Let y = (yij) be a family of n2 -indeterminates over F and let

    S = F{y}[ 1det y

    ]

    (The derivation on F{y} extends to S by the quotient rule.) We want to finda maximal -ideal ofS that contains the -ideal

    a = [y Ay]

    We can do this, using Zorns Lemma, as long as a is proper, i.e. no power ofdet y is in a. But this is certainly true since every element ofa has order atleast 1 and det y has order 0.

    Let m be a maximal -ideal ofS that contains a and set

    R = S/m

    R is -simple so it is a domain and (qfR) = C. If Z is the image of thematrix y in R then

    Z = AZ

    since a is contained the kernel ofS R.Corollary 7.6. Given a linear homogeneous-equation L(y) = 0 there existsa Picard-Vessiot extension for L.

    8 Example where [y A] is not maximal

    The example I gave at the seminar was wrong. I had forgotten that thecontaining ring is F{}[ 1

    det y].

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    Let F= C(ex) and A = 1 (a 1

    1 matrix). The we must look at the ideal

    [y y] F{y}[1y

    ] = F{y, 1y}

    I had asserted that [yy] [y], which is indeed true, but not relevant, since1 [y]. However

    [y y] [y ex] .Indeed

    y y = (y ex) (y ex)Also [y ex] is a maximal -ideal (even a maximal ideal) since it is the kernelof the substitution homomorphism

    F{y, 1y} F{ex, ex} = C(ex) = F

    9 Tensor products

    Let R and S be -rings that both contain F. We are interested in the tensorproduct

    R

    FS

    This is a -ring. The easiest way to describe it uses vector space bases.

    Let {xi}, (i I), be a vector space basis ofR over F and {yj}, (j J), bea basis ofS over F. Consider the set of all pairs (xi, yj) and the set RFSof all formal finite sums

    i.j

    aij(xi, yj) where aij F

    RFS is a vector space over Fwith basis (xi, yi).

    If x =

    i aixi R and y =

    j bjyj S we write

    x y =i

    j

    aibj(xi, yj) RFS

    We have

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    1. (x + x)

    y = x

    y + x

    y

    2. x (y + y) = x y + x y3. a(x y) = ax y = x ay

    One defines multiplication so that

    (x y)(x y) = xx yyand shows that R F S is a ring. Finally we define a derivation with theproperty

    (x

    y) = x

    y + x

    y

    and we get a -ring.

    We have two canonical mappings

    : R RFSa a 1

    and

    : S RFSa 1 a

    10 CR C

    Be careful. Tensor products are usually much worse than the rings youstarted with. For example

    CR Cis not a field, in fact it is not even an integral domain! Indeed

    (i 1 + 1 i)(i 1 1 i) = 1 1 i i + i i 1 1 = 0

    In fact CR C C C. Every element ofCR C has the formx = a(1 1) + b(i 1) + c(1 i) + d(i i)

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    We define : C

    R C

    C2 by

    (x) =

    (a + d) + (b c)i, (a d) + (b + c)iIt is straightforward to check that is an isomorphism or rings.

    11 Uniqueness of a Picard-Vessiot ring

    Suppose that R and S are both Picard-Vessiot rings for the matrix A. Say

    R = F[Z, Z1

    ] S = F[W, W1

    ]

    whereZZ1 = A = WW1

    If Z and W were in some common ring extension T of both R and S, then

    W = ZC

    for some matrix of constants, C T. We can easily find a common ringextension of both R and S, namely

    RFSAnd we can find one whose ring of constants is C

    T= (RFS)/mwhere m is a maximal -ideal ofRFS. (It is -simple!)Proposition 11.1. Suppose thatm is a maximal -ideal ofRFS and let

    : RFS (RFS)/m = Tbe the canonical homomorphism. Then

    : R RFS T

    and

    : S RFS T

    are isomophisms.

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    Proof. The kernel of is a proper -ideal ofR. Because R is -simple, this

    ideal must be (0), so is injective.

    Since Z = AZ and W = AW and A has coefficients in F,

    C = (1 W)(Z 1)1

    is a matrix of constants and hence has coordinates in C. Therefore

    (1 W) = C(Z 1) = (CZ 1)and

    (1 S) (R 1)

    orT= (R S) (R 1) = ((R)) .

    The following proposition says that a Picard-Vessiot ring for A is uniqueup to -isomorphism. It follows that a Picard-Vessiot extension for a linearhomogeneous -equation is also unique up to a -isomorphism.

    Theorem 11.2. R andS are-isomorphic.

    Proof. Both R and S are -isomorphic to T.

    12 RFR

    We continue to assume that R is a Picard-Vessiot ring. Here we are interestedin the -ring

    RFRand in particular relating it to the Galois group G(R/F).

    Let G(R/F). Define a mapping : RFR R

    by(a b) = ab.

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    Proposition 12.1. If

    G(R/F) then the kernel of is a maximal-ideal

    m.

    Proof.(RFR)/m R

    Because R is -simple, m is a maximal -ideal.

    Proposition 12.2. Let G(R/F). Thenm is generated as an ideal by

    a 1 1 a a R .

    Proof. If a R then

    (a 1 1 a) = a a = 0

    so a 1 1 a m.

    Now suppose that

    x =i

    ai bi m so thati

    aibi = 0

    Then

    x =i

    (ai 1)(1 bi bi 1) +i

    aibi 1

    = i

    (ai 1)(bi 1 1 bi)

    With this we can prove the converse of Proposition 12.1.

    Theorem 12.3. Letm be a maximal -ideal ofR FR. Then there exists G(G/F) such thatm = m.

    Proof. SetT= (RFR)/m, : RFR T

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    By Proposition 11.1 the mappings

    : R T and : R T

    are isomorphisms.

    Define : R R by = ( )1 ( )

    i.e., so thatR

    E R

    c c

    RFR E T ' RFRcommutes.

    Let a R, then But

    (a 1 1 a) = ((a)) (a) = ( )(a) ( )(a) = 0

    Thereforea

    1

    1

    a

    ker = m

    By Proposition 12.2m m

    But m is a maximal -ideal, therefore

    m = m .

    We have shown that G(R/F) is in bijective correspondence (i.e. can be

    identified with the set of maximal -ideals ofRFR, i.e.G(R/F) max diffspec(RFR) .

    We have diffspec but we want spec.

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    13 C

    R C bis

    C is a Galois extension of R with Galois group {id, }, being complexconjugation. It turns out that C R C has precisely two prime ideals andthey are both maximal. The first is generated by

    a 1 1 a a C

    which corresponds the the identity automorphism, and the other generatedby

    a

    1

    1

    a a

    C

    which corresponds to the automorphism . Thus

    max spec(CR C) = spec(CR C)

    is a finite scheme, which is in fact a group scheme and is isomorphic to theGalois group.

    14 The constants ofRFR

    Definition 14.1. LetK = (RFR)

    Remember that R = C, so we might expect K to be rather small (maybeK = C). This is very far from the truth.

    Example 14.2. Let F= C(x) and let

    Z = (ex) GL(1)

    Note thatZ = Z, so A = 1 .

    The Picard-Vessiot ring is

    R = F[ex, ex] .

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    Then

    (ex e

    x)

    = ex e

    x + ex (e

    x) = 0so

    c = ex ex KExample 14.3. Now let

    Z =

    1 log x0 1

    Here

    Z =

    0 1

    x

    0 0

    =

    0 1x0 0

    1 log x0 1

    = AZ

    andR = F[log x]

    Letc = log x 1 1 log x

    then

    c =1

    x 1

    1

    1

    x

    = 0

    so K.

    If M, N MatR(n) we defineM N MatRFR(n)

    be the matrix whose ijth coordinate is

    (M N)ij =k

    Mik Nkj

    Proposition 14.4.Suppose that

    R=F

    [Z, Z

    1

    ]. Then = Z Z1

    is a matrix of constants.

    Theorem 14.5.

    K = C[, 1]

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    15 Ideals in R

    CK

    Definition 15.1. LetI(K)

    denote the set of ideals ofK and

    I(RCK)

    the set of -ideals ofRCK.

    Suppose that ao is an ideal ofK, then

    RC aois a -ideal ofRCK. This gives a mapping

    : I(K) I(RCK)

    Ifa RCK is a -ideal then

    {c K | 1 c a}

    is an ideal ofK and we have a mapping

    : I(RCK) I(K)

    Theorem 15.2. The mappings and are bijective and inverse to eachother.

    The mappings and are order-preserving, so we get a bijection betweenmaximal ideals ofK and maximal -ideals ofRCK.

    16 RFR RC K

    This is one of the most important theorems of Picard-Vessiot rings.

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    Recall that

    K = (RFR)so, in particular, K RFR. We have a homomorphism

    : RCK RFRgiven by

    r k (r 1) kTheorem 16.1. RFR RCK

    Proof. We consider

    : RCK RFRThe kernel is a -ideal ofRCK. By Theorem 15.2, there is an ideal ao Kwith

    R ao = ker But restricted to 1 K is injective, so ao = 0. Therefore is injective.

    For surjectivity we need to show that 1 R R 1)[K]. But1 Z = (Z 1)(Z1 Z) = (Z 1) (R 1)[K]

    17 specK

    Theorem 17.1. IfR is a Picard-Vessiot ring and

    K = (RFR)

    then

    G(R/F)

    max diffspec(RFR)

    max diffspec(RCK) max specK

    Proof. The first line is Theorem 12.3, the second line is Theorem 16.1 andthe last is Theorem 15.2.

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    18 Zariski topology on specK

    X = specK is the set of prime ideals ofK. Ifa K is a radical ideal, thenwe define

    V(a) = {p K | a p}Note that V is order-reversing:

    a b = V(a) V(b)

    Also

    V((1)) = V((0)) = X

    V(a b) = V(a) V(b)V(i

    ai) =i

    V(ai)

    We put a topology on X, called the Zariski topology, by defining the closedsets to be sets of the form V(a) for some radical ideal a ofK.

    By a closed point p of X we mean a point (prime ideal) such that

    V(p) = {p} .

    Thus the closed points are precisely the maximal ideals, i.e. the set of closedpoints is what I previously called max specK.

    We can do the same thing for -rings R. Thus diffspecR is the set of prime-ideals, if a is a radical -ideal ofR then V(a) is defined similarly. Andwe get a topology, called the Kolchin topology. The set of closed points ismax diffspecR.

    Beware Despite the similarity of definitions of diffspecR and specK, thereare vast differences in the theory.

    I want to describe max specK a little further. We know that

    K = C[, 1det

    ]

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    where = Z1

    Z

    MatK(n). Let X = (Xij) be indeterminates over C

    and Y another indeterminate. Then

    : C[X, Y] KX Y 1

    det

    We have an exact sequence

    0 E a E C[X, Y] E K E 0

    where a is the kernel of .

    An element of max specK comes from a maximal ideal ofC[X, Y] that con-tains a and conversely, i.e.

    max specK {m C[X, Y] | m is a maximal ideal that contains a}

    If c GL(n) is a zero ofa then

    m = (X

    c, (det c)Y

    1)

    is a maximal ideal containing a. The converse is also true - this is the weakHilbert Nullstellensatz. Therefore the set of maximal ideals containing a,max specK, is the zero set ofa.

    19 Affine scheme and morphisms

    Theorem 19.1. LetR and S beC-algebras. An algebra homomorphism

    : R S

    induces a scheme morphism

    a : spec S spec R

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    Conversely, a scheme morphism

    f: spec S spec Rinduces an algebra homomorphism

    f# : R SThere is a bijection

    Mor(spec S, spec R) Hom(R, S)

    Note that the arrows get reversed.

    Theorem 19.2. LetR and S beC-algebras. Then

    spec R spec S = spec(R C S)

    20 Group scheme

    A group in the category of sets is well-known. But a group in the category

    of schemes is somewhat different. It is NOT a group in the category of sets.In category theory one deals with objects and arrows. Here too. We writeG = specK and C = specC. All products are over C, i.e. = C.Definition 20.1. G = specK is a group scheme if there are mappings

    m : G G G, (multiplication)e : C G, (identity)i : G G, (inverse)

    such that the following diagrams commute.

    G G G midG E G G

    cidGm

    cm

    G G m E G

    (associativity)

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    G C idGe E G G

    cm

    GidG E G

    Tm

    C G eidG E G G

    (identity)

    G G(idG,i)

    mdd

    dG E C

    e E G

    (i,idG)

    dd

    dm

    G G

    (inverse)

    21 Hopf algebra

    We can translate the group scheme mappings into algebra homomorphisms.

    Definition 21.1. K is a Hopf algebra if there are mappings

    : K KK, (comultiplication)I: K C, (coidentity)S: K K, (coinverse or antipode)

    such that the following diagrams commute.

    K E KK

    c

    cidK

    KK idK E KKK

    (coassociativity)

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    KK idKI E K CT

    KidK E K

    c

    KK IidK E CK

    (coidentity)

    KKidKS

    dd

    ds

    K'

    CI' K

    SidKd

    dds

    KK

    (antipode)

    Theorem 21.2. K is a Hopf algebra if and only ifspecK is a group scheme.

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    22 Sweedler coring

    There is a natural structure of coring (which I will not define) on R FRdefined by

    : RFR (RFR) R (RFR)a b a 1 1 b

    I: RFR Fa

    b

    ab

    S: RFR RFRa b b a

    This looks like a Hopf algebra but, in fact, is not quite.

    Proposition 22.1. The mappings above restrict to

    : K KCK

    I

    :K

    C

    S: K KTheorem 22.2. K together with , I and S is a Hopf algebra.

    Theorem 22.3. specK is a group scheme.

    23 Matrices return

    We can compute the comultiplication on K. Recall that

    K = C[,1

    det ], = Z1 Z .

    so() = Z1 F1 R 1 FZ = Z1 FZR Z1 FZR

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    because Z has coordinates in R. Thus

    () = C i.e.

    (ij) =k

    ik C kj

    which is matrix multiplication.

    AlsoI() = I(Z1 Z) = Z1Z = 1 GLR(n)

    so

    I

    () = 1 GLC(n)Finally

    S() = S(Z1 FZ) = ZFZ1 = (Z1 Z)1 = 1

    24 The Weierstra -function

    Up to now we have dealt only with Picard-Vessiot extensions. The Galois

    group is a subgroup of GL(n), in particular, it is affine. There is a moregeneral theory, the theory of strongly normal extensions. Here we examineone simple example. We use classical language of algebraic geometry.

    Start with projective 2-space P2 = P2(C). This is the set of equivalence classof triples

    (a,b,c) C3 (a,b,c) = 0 ,modulo the equivalence relation

    (a,b,c) (a,b,c) C, = 0 .

    The equivalence class of (a,b,c) is denoted [a,b,c].

    Recall that a polynomial P C[X, Y , Z] is homogeneous if every term hasthe same degree. A subset S P2 is closed (in the Zariski topology) if it isthe set of all zeros of a finite set of homogeneous polynomials

    f1, . . . , f r C[X, Y , Z]

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    We define E

    P2 to be the elliptic curve, the zero set of the single homoge-

    neous polynomialY2Z 4X3 + g2XZ2 + g3Z3

    where g2, g3 C and the discriminant g32 27g23 is not 0.

    If [a,b,c] E and c = 0 then

    [a,b,c] = [a

    c,

    b

    c, 1] = [x,y, 1], y2 = 4x3 g2x g3 .

    If c = 0 then it follows that a = 0. We get the single point [0, 1, 0] which wedenote by

    .

    We can interpret the equation y2 = 4x3 g2x g3 as defining a Riemannsurface. It has genus 1. We can integrate on this surface and the integral isdefined up to homotopy (which we call periods).

    Theorem 24.1. (Abel) Given P1, P2 E there is a uniqueP3 E such thatP1

    dt

    s+

    P2

    dt

    s=

    P3

    dt

    s(mod periods)

    Here t is a dummy variable and s2 = 4t3

    g2t

    g3.

    This puts an addition on E and makes it an algebraic group.

    It turns out that[x,y, 1] = [x, y, 1]

    Suppose that [x1, y1, 1] and [x2, y2, 1] are in E and x1 = x2. Then

    [x1, y1, 1] + [x2, y2, 1] =

    [

    (x1 + x2) +

    14

    y2 y1x2 x1

    2

    ,

    y2 y1x2 x1

    x3

    y1x2 y2x1

    x2 x1, 1]

    Weierstra inverted the integral to define (x):

    x =

    (x)

    dt

    s.

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    so that

    2 = 43 g2 g3 .

    In general, we simply define to be a solution of this -equation.

    Definition 24.2. A -field extension G ofF is said to be Weierstrassian if

    1. G = F = C,

    2. G = F where 2 = 43 g2 g3.

    Compute

    2 = 122 g2 to get = 62 12g2 ,therefore

    G = F = F(, ) .

    Let G(G/F) be the group of all -automorphisms ofG over F. If G(G/F)then

    2 = 43 g2 g3

    We may think of [,

    , 1] as an element of E(G

    ), the elliptic curve withcoordinates in G. (Recall E had coordinates in C.) The above equationshows that [, , 1] is also an element of E(G). So we can subtract thesepoints.

    Assume that = and let[,, 1] = [, , 1] [, , 1] = [,, 1] + [, , 1] .

    From the formulas above we have:

    = ( + ) + 14

    2

    We claim that is a constant. First compute

    +

    = 2( )

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    and then

    = + 12

    +

    2( ) = 0Because

    2 = 43 g2 g3 , is also a constant.

    By assumption, G = F = C so [,, 1] E.Theorem 24.3. There is an mapping

    G(G

    /F

    ) Egiven by

    [, , 1] [, , 1]It is injective and the image is an algebraic subgroup of E.

    33