ON FOCK-GONCHAROV COORDINATES OF THE ONCE-PUNCTURED TORUS GROUP

Size: px
Start display at page:

Download "ON FOCK-GONCHAROV COORDINATES OF THE ONCE-PUNCTURED TORUS GROUP"

Transcription

1 ON FOCK-GONCHAROV COORDINATES OF THE ONCE-PUNCTURED TORUS GROUP YUICHI KABAYA Introduction In their seminal paper [3], Fock and Goncharov defined positive representations of the fundamental group of a surface S into a split semi-simple real Lie group G (eg PSL(n, R)) They showed that the space of positive representations satisfies properties similar to those of the Teichmüller space: a positive representation is faithful, has discrete image in G, and the moduli space of positive representations is diffeomorphic to R χ(s) dim G In fact, when G = PSL(2, R), the space of positive representations coincides with the Teichmüller space They showed that the space of positive representations coincides with the Hitchin component [9] in the representation space of π (S) into G It should be mentioned here that Labourie introduced in [] the notion of Anosov representations, whose moduli space coincides with the Hitchin component and the space of positive representations [], [8] When the Lie group is PSL(n, R) and an ideal triangulation of S is fixed, Fock and Goncharov defined two types of invariants for positive representations: vertex functions and edge functions A vertex function is also called a triple ratio, which we will use in this note They showed that these invariants give a set of coordinates of positive representations (Their coordinates are also defined for more general representations into PSL(n, C)) The Fock-Goncharov coordinates are extensively studied: there are generalizations to 3-manifolds groups [], [6], [5]; the McShane identities are studied in [2]; Fenchel-Nielsen type coordinates for the Hitchin component in [2] In [0], I and Xin Nie give a parametrization of PGL(n, C)-representations of a surface group as an analogue of the Fenchel-Nielsen coordinates In this note, I will explain Fock-Goncharov coordinates and give an explicit construction of matrix generators for once-punctured torus group, in terms of Fock-Goncharov coordinates 2 Flags Let GL(n, C) be the general linear group of n n complex matrices We define two subgroups B and U by B =, U = O O The center of GL(n, C) is isomorphic to C, the set of diagonal matrices with the same diagonal entries We let PGL(n, C) = GL(n, C)/C We have a short exact sequence Z/nZ SL(n, C) PGL(n, C) Received December 3, 202?

2 A (complete) flag in C n is a sequence of subspaces {0} = V 0 V V 2 V n = C n We denote the set of all flags by F n GL(n, C) and PGL(n, C) act naturally on F n from the left We represent X GL(n, C) by n column vectors as X = ( x x 2 x n) where x i = t (x i,, x i n) are column vectors By setting X i = span C {x,, x i }, we obtain a flag {0} X X n from an element of GL(n, C) Thus we have a map from GL(n, C) to F n Since an upper triangular matrix acts from the right as b b n () X = ( b x b 2 x + b 22 x 2 b n x + + b nn x n), O b nn the map induces a map GL(n, C)/B F n We can easily show that this is bijective and equivariant with respect to the left action of GL(n, C) Thus we can identify F n with GL(n, C)/B We can also identify F n with PGL(n, C)/B where we also denote by B for the quotient in PGL(n, C) by abuse of notation We let AF n = GL(n, C)/U and call an element of AF n an affine flag We have the following short exact sequence: B/U AF n F n GL(n, C)/U GL(n, C)/B Example 2 When n = 2, F n can be identified with the set of lines in C 2 In other words, F 2 is the projective line CP If we regard CP as C { }, PGL(2, C) acts on CP by linear fractional transformations and the stabilizer at is the subgroup B of upper triangular matrices Thus we have F 2 = CP = PGL(2, C)/B 3 Triples of flags We will describe the moduli space of configurations of generic n-tuples of flags Definition 3 Let (X,, X k ) be a k-tuple of flags We fix a matrix representative X i = (x i x n i ) GL(n, C) for each i A k-tuple of flags (X,, X k ) is called generic if (2) det(x x i x 2 x i 2 2 x k x i k k ) 0 for any 0 i,, i k n satisfying i + i i k = n We remark that the genericity does not depend on the choice of the matrix representatives Moreover the determinant in (2) is a well-defined complex number if X,, X k AF n (recall ()) We denote the determinant by det(x i X i 2 2 X i k k ) for a k-tuple of affine flags In this note, we only consider generic triples or quadruples of flags Let (X, Y, Z) be a generic triple of F n We fix lifts of X, Y, Z to AF n For a triple (i, j, k) of integers satisfying 0 i, j, k n and i + j + k = n, we denote i,j,k = det(x i Y j Z k ) Consider a big triangle subdivided into n 2 small triangles as in Figure Such a triple 2

3 (4, 0, 0) (3, 0, ) (2, 0, 2) (, 0, 3) (0, 4, 0) (0, 0, 4) Figure A subdivision into n 2 triangles (n = 4) (i, j, k) corresponds to a vertex of the subdivided triangle For an interior vertex (i, j, k) (in other words i, j, k n and i + j + k = n), the triple ratio is defined by T i,j,k (X, Y, Z) = i+,j,k i,j+,k i,j,k+ i+,j,k i,j+,k i,j,k+ We show a graphical representation of T i,j,k (X, Y, Z) in Figure 2 Each factor of the numerator (resp denominator) corresponds to a vertex colored by black (resp white) in Figure 2 We remark that T i,j,k (X, Y, Z) does not depend on the choice of the matrix representatives By definition, we have (3) (4) (5) T i,j,k (X, Y, Z) = T j,k,i (Y, Z, X) = T k,i,j (Z, X, Y ), T i,j,k (X, Y, Z) = T i,k,j (X, Z, Y ), T i,j,k (X, Y, Z) = T i,j,k (AX, AY, AZ), for any generic triple X, Y, Z F n and A PGL(n, C) X (i +, j, k ) (i +, j, k) (i, j +, k ) (i, j, k) (i, j, k + ) Y Z (i, j +, k) (i, j, k + ) Figure 2 The black (resp white) vertices correspond to the factors of the numerator (resp denominator) of the triple ratio If we denote Conf k (F n ) = GL(n, C)\{(X,, X k ) generic k-tuple of F n }, T i,j,k are functions on Conf 3 (F n ) by (5) Moreover, we have the following theorem Theorem 32 (Fock-Goncharov) A point of Conf 3 (F n ) is completely determined by the (n )(n 2) 2 triple ratios In particular, Conf 3 (F n ) = (C ) (n )(n 2)/2 This theorem follows from the existence of the following normal form of a generic triple of flags 3

4 Lemma 33 Let (X, Y, Z) be a generic triple of F n Then there exists a unique A GL(n, C) and upper triangular matrices B, B 2, B 3 up to scalar multiplication such that 0 0 O O AXB = O, AY B 2 =, AZB 3 = O O This means that the lower triangular part of AZB 3 gives a set of complete invariants for configurations of generic triples of flags We will later give a brief sketch of the proof of Lemma 33, which gives an explicit construction of the matrix A Combining with the following lemma, we complete the proof of Theorem 32 Lemma 34 Each entry of the lower triangular part of AZB 3 in Lemma 33 is written by a Laurent polynomial of the triple ratios T i,j,k (X, Y, Z) This can be proved by induction Probably the Laurent polynomial might be a polynomial Here are some examples for small n Example 35 When n = 3, let T = T,, (X, Y, Z), then we have the following normal form: (6) X = , Y = , Z = T + In fact, we have T,, (X, Y, Z) = det det det det det det T T + = T When n = 4, let T ijk = T i,j,k (X, Y, Z), then we have the following normal form: X = I 4, Y = C 4, Z = 0 0 T 2 + 0, (T 2 + )T 2 + (T 2 + )T 2 + where I 4 is the identity matrix and C 4 is the counter diagonal matrix with all counter diagonal entries Sketch of proof of Lemma 33 First we show that for a generic triple of flags (X, Y, Z), there exists a unique matrix A GL(n, C) such that O AX =, AY =, AZ = O 4

5 We need to find a matrix A = (a ij ) satisfying a i x j + a i2 x j a in x j n = 0, (j < i) a i y j + a i2 y j a in y j n = 0, (j < n i + ) a i z + a i2 z a in z n = This system of linear equations is equivalent to the matrix equation x x n x i x i n a i (7) y yn = 0 0, i =,, n a in y n i yn n i z zn Since (X, Y, Z) is generic, we can show that the n n-matrix in the above equation is invertible So we have a unique solution A M(n, C) We can show that det A 0 by genericity Multiplying an upper triangular matrix from the right, we can eliminate the upper right (or lower right) triangular part of a matrix This completes the proof of Lemma 33 From the proof of Lemma 33, we have the following proposition Proposition 36 () Let X, Y F n and z CP n be a generic triple, and X, Y F n and z CP n another generic triple Then there exists a unique matrix A PGL(n, C) such that AX = X, AY = Y, Az = z (2) Let X, Y F n and z CP n be a generic triple and T i,j,k be nonzero complex numbers for i, j, k satisfying i, j, k n and i + j + k = n Then there exists a unique flag Z such that Z = z and T i,j,k (X, Y, Z) = T i,j,k 4 Quadruples of flags Let X, Z be affine flags and y, t be non-zero n-dimensional vectors We say that (X, Z, y) is generic if det(x k Z n k y) 0 for k = 0,, n If (X, Z, y) and (X, Z, t) are generic, we define the edge function for i =,, n by (8) δ i (X, y, Z, t) = det(xi yz n i ) det(x i Z n i t) det(x i yz n i ) det(x i Z n i t) We show a graphical representation of δ i (X, y, Z, t) in Figure 3 We can easily check that δ i (X, y, Z, t) is well-defined for X, Z F n and y, t CP n By definition, we have (9) δ i (X, y, Z, t) = δ i (X, t, Z, y), (0) δ i (X, y, Z, t) = δ n i (Z, t, X, y), () δ i (X, y, Z, t) = δ i (AX, Ay, AZ, At), for any A PGL(n, C) For a generic quadruple X, Y, Z, T F n, we simply denote δ i (X, Y, Z, T ) = δ i (X, Y, Z, T ) 5

6 By (), δ i (X, Y, Z, T ) are functions on Conf 4 (F n ) For a generic quadruple (X, Y, Z, T ), we have (n )(n 2) triple ratios for each (X, Y, Z) and (X, Z, T ) and (n ) edge functions 2 These (n )(n 2) + (n ) = (n ) 2 invariants completely determine a point of Conf 4 (F n ) First we show the following proposition X (i,, n i ) (i, n i, ) y t (i, n i, 0) Z (i,, n i) (i, n i, ) Figure 3 The black (resp white) vertices correspond to the factors of the numerator (resp denominator) of the edge function Proposition 4 Let X, Z F n and y CP n such that the triple (X, Z, y) is generic For any d,, d n C, there exists a unique t CP n such that δ i (X, y, Z, t) = d i, i =,, n In fact, by () and Proposition 36 (), we can assume that the triple (X, Z, y) is of the form O O (2) X =, Z =, y = O O We denote the identity matrix of size i by I i and the counter diagonal matrix of size i with counter diagonal entries by C i We let t = [t : : t n ] CP n, then we have I i O I i O O O O O t i+ O C n i O C n i δ i (X, y, Z, t) = = t i+ I i O I i O t i O O O O t i O C n i O C n i Thus t is uniquely determined by d,, d n Corollary 42 A point (X, Y, Z, T ) of Conf 4 (F n ) is uniquely determined by T i,j,k (X, Y, Z), T i,j,k (X, Z, T ) and δ i (X, Y, Z, T ) In fact, (X, Y, Z) is uniquely determined by T i,j,k (X, Y, Z) by Theorem 32 Then T CP n is determined by δ i (X, Y, Z, T ) by Proposition 4, and then T F n is determined by T i,j,k (X, Z, T ) by Proposition 36 (2) We remark that the quadruple (X, Y, Z, T ) determined by arbitrary given T i,j,k (X, Y, Z), T i,j,k (X, Z, T ) and δ i (X, Y, Z, T ) might not be generic but the triples (X, Y, Z) and (X, Z, T ) are generic (If we further assume positivity of triple ratios and edge functions, then the quadruple must be generic) By a similar argument, we can show that a configuration of generic k flags is uniquely determined by some triple ratios and edge functions 6

7 Example 43 When n = 2, we observed in Example 2 that F 2 is nothing but CP So we assume that X, Z CP In this identification, the normalization (2) corresponds to X = [ : 0] =, Z = [0 : ] = 0, y = [ : ] = Then we have δ (,, 0, t) = t (See Figure 4) Thus if we define the cross ratio by [x 0 : x : x 2 : x 3 ] = x 3 x 0 x 2 x, x 3 x x 2 x 0 we have δ (X, y, Z, t) = [X : Z : y : t] X = Z = 0 t = δ (X, y, Z, t) y = Figure 4 5 Fock-Goncharov coordinates We will use triple ratios and edge functions to give a parametrization of PGL(n, C)- representations of a surface group Let S be an orientable surface with at least one puncture We assume that S admits a hyperbolic metric An ideal triangle is a triangle with the vertices removed An ideal triangulation of S is a system of disjointly embedded arcs on S which decomposes S into ideal triangles,, N, see Figure 5 (If S is a surface of genus g with p punctures, then N = 4g 4 + 2p) We denote the universal cover of S by S, which can be identified with the hyperbolic plane H 2 The ideal triangulation of S lifts to an ideal triangulation of S Each ideal vertex of an ideal triangle of S defines a point on the ideal boundary H 2 Let S H 2 be the set of these ideal points The fundamental group π (S) acts on the universal cover S by deck transformations It also acts on the ideal triangulation of S and the ideal boundary S γ γ 2 Figure 5 Let ρ : π (S) PGL(n, C) be a representation A map f : S F n is called a developing map for ρ if it is ρ-equivariant ie it satisfies f(γx) = ρ(γ)f(x) for x S and γ π (S) The representation ρ is recovered from the developing map as follows Fix an 7

8 ideal triangle of S, and denote its ideal vertices by v, v 2, v 3 Since f is ρ-equivariant, we have f(γv i ) = ρ(γ)f(v i ) for any γ π (S) and i =, 2, 3 By Proposition 36 (), ρ(γ) is uniquely determined by these data as an element of PGL(n, C) Let be an ideal triangle of the ideal triangulation of S We take a lift of to S Then the ideal vertices of the triangle are mapped to a triple of flags by f If the triple is generic, we can define the triple ratios for Since f is ρ-equivariant and by (5), the triple ratios do not depend on the choice of the lift We can similarly define the edge functions for each edge of the ideal triangulation Thus, if S is a surface of genus g with p punctures, we have (4g 4+2p) (n )(n 2) triple ratio parameters and (6g 6+3p)(n ) edge functions Altogether we have (n 2 )(2g 2+p) parameters These parameters completely determine f and hence ρ up to conjugacy In fact, we can reconstruct f from these parameters First we choose one ideal triangle in S and denote the ideal vertices by v, v 2, v 3 Then take arbitrary X, X 2 F n and x 3 CP n Define f(v i ) = X i for i =, 2 By Proposition 36 (2), there exists unique f(v 3 ) F n such that f(v 3 ) = x 3 and the triple ratios T i,j,k (f(v ), f(v 2 ), f(v 3 )) are the same as the prescribed ones Let (v, v 2, v 4 ) be the ideal triangle of S adjacent to (v, v 2, v 3 ) By Proposition 4, f(v 4 ) CP n is uniquely determined by the edge functions δ i (f(v ), f(v 3 ), f(v 2 ), f(v 4 ) ) Again by Proposition 36 (2), f(v 4 ) F n is determined by the triple ratios T i,j,k (f(v ), f(v 2 ), f(v 4 )) Iterating these steps, f : S Fn is uniquely determined by these data If we change the first choice of X, X 2 F n and x 3 CP n, then the result differs by a conjugation The conjugating element is explicitly given by Proposition 36 () This system of triple ratio and edge function parameters are called Fock-Goncharov coordinates 6 Once-punctured torus case Let S be a once punctured torus Fix an ideal triangulation of S as in Figure 5 We take a system of generators γ, γ 2 of π (S) as in the right of Figure 5 We give the explicit representation ρ : π (S) PGL(n, C) when n = 3 parametrized by Fock-Goncharov coordinates X 5 X c d X 3 a f w a b z e b X 4 c d X 2 X 6 Figure 6 Figure 6 shows a part of the universal cover S We let z, w be the triple ratios for the two ideal triangles and a, b, c, d, e, f be the edge functions for the three edges as indicated in Figure 6 Each X i in Figure 6 indicates the flag corresponding to the ideal vertex 8

9 First we fix X = , X 2 = , X4 = By (4), we have z = T,, (X, X 4, X 2 ) = (T,, (X, X 2, X 4 )) From the normal form (6), we have X 4 = /z Next we compute X 5 Put X 5 = [s : s 2 : s 3 ] By the definition (8), we have a = δ 2 (X, X 5, X 4, X 2) = s 0 s 2 0 s 3 0 s 0 s s b = δ (X, X 5, X 4, X 2) = s /z s 2 ( + /z) + s 3 s 2 s 3 = s 2 s 3 s 3, Solving these equations, we have X 5 = [s : s 2 : s 3 ] = [abz + az + a + : a + : ] Similarly we have X 3 = [ : e : ef], X 6 = [cdz : cdz + cz : cdz + cz + c + ] Next we determine X 3 in F n We have X = I 3, X 2 = C 3, X 3 = e, ef where I 3 and C 3 are defined as in Example 35 Since this triple is obtained from the normal form of (X, X 2, X 3 ) by multiplication by a diagonal matrix with diagonal entries (, e, ef), we have X 3 = 0 0 e e 0 ef ef( + w) ef The matrix ρ(γ ) maps the triple (X, X 2, X 3 ) to (X5, X 4, X ) Decompose ρ(γ ) into two matrices as (X 2, X 3, X) A (I 3, C 3, ) B (X 4, X, X5), each of which is calculated explicitly by (7) After some computation, we have ( + a(z + ) + abz)efw f(w + ) + afw(z + ) ρ(γ ) = ( + a)efw f(w + ) + afw efw f(w + ) 9

10 Similarly, since ρ(γ 2 ) maps (X, X2, X 3 ) to (X 4, X6, X 2 ), we obtain cdefwz cdf(w + )z cdz ρ(γ 2 ) = cdefwz cfz + cdf(w + )z cz + cdz cdefwz cf(z + ) + cdf(w + )z + c(z + ) + cdz We end this note by drawing some pictures of the images of developing maps If we restrict the coordinates to real numbers, we obtain a PGL(3, R)-representation A PGL(3, R) representation preserving a convex set in RP 2 is called a convex projective representation In [4], Fock and Goncharov showed that, when all triple ratios and edge functions are positive, the associated PGL(3, R)-representation is convex projective We remark that Goldman gave a parametrization of convex projective structures in [7] Figures 7, 8 and 9 are drawn in local coordinates of RP 2 given by ( z y [x : y : z] x + z, x y ) x + z In particular, X = [ : 0 : 0] maps to (0, ), X 2 = [0 : 0 : ] to (0, 0) and X 4 = [ : : ] to (0, 0) I only drew triangles developed by the products of ρ(γ ) and ρ(γ 2 ) whose word lengths within 4 by using Sage [3] I remark that these pictures might miss large triangles in the developed images References [] N Bergeron, E Falbel and A Guilloux, Tetrahedra of flags, volume and homology of SL(3), preprint 20, arxiv:742 [2] F Bonahon and G Dreyer, Parametrizing Hitchin components, prepreint 202, arxiv: [3] V Fock and A Goncharov, Moduli spaces of local systems and higher Teichmüller theory, Publ Math Inst Hautes Études Sci No 03 (2006), 2 [4] V Fock and A Goncharov, Moduli spaces of convex projective structures on surfaces, Adv Math 208 (2007), no, [5] S Garoufalidis, M Goerner and C Zickert, Gluing equations for PGL(n,C)-representations of 3- manifolds, preprint 202, arxiv:20767 [6] S Garoufalidis,D Thurston and C Zickert, The complex volume of SL(n,C)-representations of 3- manifolds, pareprint 20, arxiv:2828 [7] W Goldman, Convex real projective structures on compact surfaces, J Differential Geom, 3, 3 (990), [8] O Guichard, Composantes de Hitchin et représentations hyperconvexes de groupes de surface, J Differential Geom 80, 3 (2008), [9] N Hitchin, Lie groups and Teichmüller space, Topology, 3, 3 (992), [0] Y Kabaya and X Nie, Parametrization of PSL(n, C)-representations of surface groups, in preparation [] F Labourie, Anosov flows, surface groups and curves in projective space, Invent Math, 65, (2006), 5 4 [2] F Labourie and G McShane, Cross ratios and identities for higher Teichmüller-Thurston theory, Duke Math J, 49, 2 (2009), [3] W Stein et al, Sage Mathematics Software (Version 50), The Sage Development Team, 202, Department of Mathematics, Osaka University, JSPS Research Fellow address: y-kabaya@crmathsciosaka-uacjp 0

11 e = f = 05 - e = f = 2 - e = f = 2 Figure 7 a = b = c = d = 2, z = w = (These correspond to Fuchsian representations, so the developed images are in a round disk) z =, w = - - z = 5, w = z = 3, w = Figure 8 a = b = c = d = e = f = e = 2, f = e = 2, f = e = 2, f = 5 e = 2, f = 2 Figure 9 a = b = c = d = 2, z = w =

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Mathematics Course 111: Algebra I Part IV: Vector Spaces Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are

More information

ON TORI TRIANGULATIONS ASSOCIATED WITH TWO-DIMENSIONAL CONTINUED FRACTIONS OF CUBIC IRRATIONALITIES.

ON TORI TRIANGULATIONS ASSOCIATED WITH TWO-DIMENSIONAL CONTINUED FRACTIONS OF CUBIC IRRATIONALITIES. ON TORI TRIANGULATIONS ASSOCIATED WITH TWO-DIMENSIONAL CONTINUED FRACTIONS OF CUBIC IRRATIONALITIES. O. N. KARPENKOV Introduction. A series of properties for ordinary continued fractions possesses multidimensional

More information

Classification of Cartan matrices

Classification of Cartan matrices Chapter 7 Classification of Cartan matrices In this chapter we describe a classification of generalised Cartan matrices This classification can be compared as the rough classification of varieties in terms

More information

Math 115A HW4 Solutions University of California, Los Angeles. 5 2i 6 + 4i. (5 2i)7i (6 + 4i)( 3 + i) = 35i + 14 ( 22 6i) = 36 + 41i.

Math 115A HW4 Solutions University of California, Los Angeles. 5 2i 6 + 4i. (5 2i)7i (6 + 4i)( 3 + i) = 35i + 14 ( 22 6i) = 36 + 41i. Math 5A HW4 Solutions September 5, 202 University of California, Los Angeles Problem 4..3b Calculate the determinant, 5 2i 6 + 4i 3 + i 7i Solution: The textbook s instructions give us, (5 2i)7i (6 + 4i)(

More information

MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set.

MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set. MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set. Vector space A vector space is a set V equipped with two operations, addition V V (x,y) x + y V and scalar

More information

Mathematical Research Letters 1, 249 255 (1994) MAPPING CLASS GROUPS ARE AUTOMATIC. Lee Mosher

Mathematical Research Letters 1, 249 255 (1994) MAPPING CLASS GROUPS ARE AUTOMATIC. Lee Mosher Mathematical Research Letters 1, 249 255 (1994) MAPPING CLASS GROUPS ARE AUTOMATIC Lee Mosher Let S be a compact surface, possibly with the extra structure of an orientation or a finite set of distinguished

More information

α = u v. In other words, Orthogonal Projection

α = u v. In other words, Orthogonal Projection Orthogonal Projection Given any nonzero vector v, it is possible to decompose an arbitrary vector u into a component that points in the direction of v and one that points in a direction orthogonal to v

More information

Inner Product Spaces and Orthogonality

Inner Product Spaces and Orthogonality Inner Product Spaces and Orthogonality week 3-4 Fall 2006 Dot product of R n The inner product or dot product of R n is a function, defined by u, v a b + a 2 b 2 + + a n b n for u a, a 2,, a n T, v b,

More information

1 Sets and Set Notation.

1 Sets and Set Notation. LINEAR ALGEBRA MATH 27.6 SPRING 23 (COHEN) LECTURE NOTES Sets and Set Notation. Definition (Naive Definition of a Set). A set is any collection of objects, called the elements of that set. We will most

More information

Surface bundles over S 1, the Thurston norm, and the Whitehead link

Surface bundles over S 1, the Thurston norm, and the Whitehead link Surface bundles over S 1, the Thurston norm, and the Whitehead link Michael Landry August 16, 2014 The Thurston norm is a powerful tool for studying the ways a 3-manifold can fiber over the circle. In

More information

Fiber sums of genus 2 Lefschetz fibrations

Fiber sums of genus 2 Lefschetz fibrations Proceedings of 9 th Gökova Geometry-Topology Conference, pp, 1 10 Fiber sums of genus 2 Lefschetz fibrations Denis Auroux Abstract. Using the recent results of Siebert and Tian about the holomorphicity

More information

GENERATING SETS KEITH CONRAD

GENERATING SETS KEITH CONRAD GENERATING SETS KEITH CONRAD 1 Introduction In R n, every vector can be written as a unique linear combination of the standard basis e 1,, e n A notion weaker than a basis is a spanning set: a set of vectors

More information

8.1 Examples, definitions, and basic properties

8.1 Examples, definitions, and basic properties 8 De Rham cohomology Last updated: May 21, 211. 8.1 Examples, definitions, and basic properties A k-form ω Ω k (M) is closed if dω =. It is exact if there is a (k 1)-form σ Ω k 1 (M) such that dσ = ω.

More information

NOTES ON LINEAR TRANSFORMATIONS

NOTES ON LINEAR TRANSFORMATIONS NOTES ON LINEAR TRANSFORMATIONS Definition 1. Let V and W be vector spaces. A function T : V W is a linear transformation from V to W if the following two properties hold. i T v + v = T v + T v for all

More information

The Characteristic Polynomial

The Characteristic Polynomial Physics 116A Winter 2011 The Characteristic Polynomial 1 Coefficients of the characteristic polynomial Consider the eigenvalue problem for an n n matrix A, A v = λ v, v 0 (1) The solution to this problem

More information

G = G 0 > G 1 > > G k = {e}

G = G 0 > G 1 > > G k = {e} Proposition 49. 1. A group G is nilpotent if and only if G appears as an element of its upper central series. 2. If G is nilpotent, then the upper central series and the lower central series have the same

More information

Section 1.1. Introduction to R n

Section 1.1. Introduction to R n The Calculus of Functions of Several Variables Section. Introduction to R n Calculus is the study of functional relationships and how related quantities change with each other. In your first exposure to

More information

ORIENTATIONS. Contents

ORIENTATIONS. Contents ORIENTATIONS Contents 1. Generators for H n R n, R n p 1 1. Generators for H n R n, R n p We ended last time by constructing explicit generators for H n D n, S n 1 by using an explicit n-simplex which

More information

MATH 304 Linear Algebra Lecture 18: Rank and nullity of a matrix.

MATH 304 Linear Algebra Lecture 18: Rank and nullity of a matrix. MATH 304 Linear Algebra Lecture 18: Rank and nullity of a matrix. Nullspace Let A = (a ij ) be an m n matrix. Definition. The nullspace of the matrix A, denoted N(A), is the set of all n-dimensional column

More information

SHINPEI BABA AND SUBHOJOY GUPTA

SHINPEI BABA AND SUBHOJOY GUPTA HOLONOMY MAP FIBERS OF CP 1 -STRUCTURES IN MODULI SPACE SHINPEI BABA AND SUBHOJOY GUPTA Abstract. Let S be a closed oriented surface of genus g 2. Fix an arbitrary non-elementary representation ρ: π 1

More information

Singular fibers of stable maps and signatures of 4 manifolds

Singular fibers of stable maps and signatures of 4 manifolds 359 399 359 arxiv version: fonts, pagination and layout may vary from GT published version Singular fibers of stable maps and signatures of 4 manifolds OSAMU SAEKI TAKAHIRO YAMAMOTO We show that for a

More information

4. Expanding dynamical systems

4. Expanding dynamical systems 4.1. Metric definition. 4. Expanding dynamical systems Definition 4.1. Let X be a compact metric space. A map f : X X is said to be expanding if there exist ɛ > 0 and L > 1 such that d(f(x), f(y)) Ld(x,

More information

IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction

IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL R. DRNOVŠEK, T. KOŠIR Dedicated to Prof. Heydar Radjavi on the occasion of his seventieth birthday. Abstract. Let S be an irreducible

More information

TOPOLOGY OF SINGULAR FIBERS OF GENERIC MAPS

TOPOLOGY OF SINGULAR FIBERS OF GENERIC MAPS TOPOLOGY OF SINGULAR FIBERS OF GENERIC MAPS OSAMU SAEKI Dedicated to Professor Yukio Matsumoto on the occasion of his 60th birthday Abstract. We classify singular fibers of C stable maps of orientable

More information

4: EIGENVALUES, EIGENVECTORS, DIAGONALIZATION

4: EIGENVALUES, EIGENVECTORS, DIAGONALIZATION 4: EIGENVALUES, EIGENVECTORS, DIAGONALIZATION STEVEN HEILMAN Contents 1. Review 1 2. Diagonal Matrices 1 3. Eigenvectors and Eigenvalues 2 4. Characteristic Polynomial 4 5. Diagonalizability 6 6. Appendix:

More information

LINEAR ALGEBRA W W L CHEN

LINEAR ALGEBRA W W L CHEN LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,

More information

SOME PROPERTIES OF FIBER PRODUCT PRESERVING BUNDLE FUNCTORS

SOME PROPERTIES OF FIBER PRODUCT PRESERVING BUNDLE FUNCTORS SOME PROPERTIES OF FIBER PRODUCT PRESERVING BUNDLE FUNCTORS Ivan Kolář Abstract. Let F be a fiber product preserving bundle functor on the category FM m of the proper base order r. We deduce that the r-th

More information

MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors. Jordan canonical form (continued).

MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors. Jordan canonical form (continued). MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors Jordan canonical form (continued) Jordan canonical form A Jordan block is a square matrix of the form λ 1 0 0 0 0 λ 1 0 0 0 0 λ 0 0 J = 0

More information

Section 6.1 - Inner Products and Norms

Section 6.1 - Inner Products and Norms Section 6.1 - Inner Products and Norms Definition. Let V be a vector space over F {R, C}. An inner product on V is a function that assigns, to every ordered pair of vectors x and y in V, a scalar in F,

More information

The cover SU(2) SO(3) and related topics

The cover SU(2) SO(3) and related topics The cover SU(2) SO(3) and related topics Iordan Ganev December 2011 Abstract The subgroup U of unit quaternions is isomorphic to SU(2) and is a double cover of SO(3). This allows a simple computation of

More information

Adding vectors We can do arithmetic with vectors. We ll start with vector addition and related operations. Suppose you have two vectors

Adding vectors We can do arithmetic with vectors. We ll start with vector addition and related operations. Suppose you have two vectors 1 Chapter 13. VECTORS IN THREE DIMENSIONAL SPACE Let s begin with some names and notation for things: R is the set (collection) of real numbers. We write x R to mean that x is a real number. A real number

More information

Continued Fractions and the Euclidean Algorithm

Continued Fractions and the Euclidean Algorithm Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction

More information

1 Local Brouwer degree

1 Local Brouwer degree 1 Local Brouwer degree Let D R n be an open set and f : S R n be continuous, D S and c R n. Suppose that the set f 1 (c) D is compact. (1) Then the local Brouwer degree of f at c in the set D is defined.

More information

THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS

THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS KEITH CONRAD 1. Introduction The Fundamental Theorem of Algebra says every nonconstant polynomial with complex coefficients can be factored into linear

More information

MATH1231 Algebra, 2015 Chapter 7: Linear maps

MATH1231 Algebra, 2015 Chapter 7: Linear maps MATH1231 Algebra, 2015 Chapter 7: Linear maps A/Prof. Daniel Chan School of Mathematics and Statistics University of New South Wales danielc@unsw.edu.au Daniel Chan (UNSW) MATH1231 Algebra 1 / 43 Chapter

More information

INVARIANT METRICS WITH NONNEGATIVE CURVATURE ON COMPACT LIE GROUPS

INVARIANT METRICS WITH NONNEGATIVE CURVATURE ON COMPACT LIE GROUPS INVARIANT METRICS WITH NONNEGATIVE CURVATURE ON COMPACT LIE GROUPS NATHAN BROWN, RACHEL FINCK, MATTHEW SPENCER, KRISTOPHER TAPP, AND ZHONGTAO WU Abstract. We classify the left-invariant metrics with nonnegative

More information

Similarity and Diagonalization. Similar Matrices

Similarity and Diagonalization. Similar Matrices MATH022 Linear Algebra Brief lecture notes 48 Similarity and Diagonalization Similar Matrices Let A and B be n n matrices. We say that A is similar to B if there is an invertible n n matrix P such that

More information

Lecture 3: Finding integer solutions to systems of linear equations

Lecture 3: Finding integer solutions to systems of linear equations Lecture 3: Finding integer solutions to systems of linear equations Algorithmic Number Theory (Fall 2014) Rutgers University Swastik Kopparty Scribe: Abhishek Bhrushundi 1 Overview The goal of this lecture

More information

Linear Algebra Notes for Marsden and Tromba Vector Calculus

Linear Algebra Notes for Marsden and Tromba Vector Calculus Linear Algebra Notes for Marsden and Tromba Vector Calculus n-dimensional Euclidean Space and Matrices Definition of n space As was learned in Math b, a point in Euclidean three space can be thought of

More information

Solving Systems of Linear Equations

Solving Systems of Linear Equations LECTURE 5 Solving Systems of Linear Equations Recall that we introduced the notion of matrices as a way of standardizing the expression of systems of linear equations In today s lecture I shall show how

More information

Math 181 Handout 16. Rich Schwartz. March 9, 2010

Math 181 Handout 16. Rich Schwartz. March 9, 2010 Math 8 Handout 6 Rich Schwartz March 9, 200 The purpose of this handout is to describe continued fractions and their connection to hyperbolic geometry. The Gauss Map Given any x (0, ) we define γ(x) =

More information

GROUP ALGEBRAS. ANDREI YAFAEV

GROUP ALGEBRAS. ANDREI YAFAEV GROUP ALGEBRAS. ANDREI YAFAEV We will associate a certain algebra to a finite group and prove that it is semisimple. Then we will apply Wedderburn s theory to its study. Definition 0.1. Let G be a finite

More information

December 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B. KITCHENS

December 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B. KITCHENS December 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B KITCHENS The equation 1 Lines in two-dimensional space (1) 2x y = 3 describes a line in two-dimensional space The coefficients of x and y in the equation

More information

Labeling outerplanar graphs with maximum degree three

Labeling outerplanar graphs with maximum degree three Labeling outerplanar graphs with maximum degree three Xiangwen Li 1 and Sanming Zhou 2 1 Department of Mathematics Huazhong Normal University, Wuhan 430079, China 2 Department of Mathematics and Statistics

More information

SHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH

SHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH 31 Kragujevac J. Math. 25 (2003) 31 49. SHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH Kinkar Ch. Das Department of Mathematics, Indian Institute of Technology, Kharagpur 721302, W.B.,

More information

Notes on Determinant

Notes on Determinant ENGG2012B Advanced Engineering Mathematics Notes on Determinant Lecturer: Kenneth Shum Lecture 9-18/02/2013 The determinant of a system of linear equations determines whether the solution is unique, without

More information

Recall that two vectors in are perpendicular or orthogonal provided that their dot

Recall that two vectors in are perpendicular or orthogonal provided that their dot Orthogonal Complements and Projections Recall that two vectors in are perpendicular or orthogonal provided that their dot product vanishes That is, if and only if Example 1 The vectors in are orthogonal

More information

Sets of Fibre Homotopy Classes and Twisted Order Parameter Spaces

Sets of Fibre Homotopy Classes and Twisted Order Parameter Spaces Communications in Mathematical Physics Manuscript-Nr. (will be inserted by hand later) Sets of Fibre Homotopy Classes and Twisted Order Parameter Spaces Stefan Bechtluft-Sachs, Marco Hien Naturwissenschaftliche

More information

RIGIDITY OF HOLOMORPHIC MAPS BETWEEN FIBER SPACES

RIGIDITY OF HOLOMORPHIC MAPS BETWEEN FIBER SPACES RIGIDITY OF HOLOMORPHIC MAPS BETWEEN FIBER SPACES GAUTAM BHARALI AND INDRANIL BISWAS Abstract. In the study of holomorphic maps, the term rigidity refers to certain types of results that give us very specific

More information

Integer Sequences and Matrices Over Finite Fields

Integer Sequences and Matrices Over Finite Fields Integer Sequences and Matrices Over Finite Fields arxiv:math/0606056v [mathco] 2 Jun 2006 Kent E Morrison Department of Mathematics California Polytechnic State University San Luis Obispo, CA 93407 kmorriso@calpolyedu

More information

Factorization Theorems

Factorization Theorems Chapter 7 Factorization Theorems This chapter highlights a few of the many factorization theorems for matrices While some factorization results are relatively direct, others are iterative While some factorization

More information

Linear Maps. Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007)

Linear Maps. Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007) MAT067 University of California, Davis Winter 2007 Linear Maps Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (February 5, 2007) As we have discussed in the lecture on What is Linear Algebra? one of

More information

Solving Linear Systems, Continued and The Inverse of a Matrix

Solving Linear Systems, Continued and The Inverse of a Matrix , Continued and The of a Matrix Calculus III Summer 2013, Session II Monday, July 15, 2013 Agenda 1. The rank of a matrix 2. The inverse of a square matrix Gaussian Gaussian solves a linear system by reducing

More information

Systems of Linear Equations

Systems of Linear Equations Systems of Linear Equations Beifang Chen Systems of linear equations Linear systems A linear equation in variables x, x,, x n is an equation of the form a x + a x + + a n x n = b, where a, a,, a n and

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS 1. SYSTEMS OF EQUATIONS AND MATRICES 1.1. Representation of a linear system. The general system of m equations in n unknowns can be written a 11 x 1 + a 12 x 2 +

More information

Factoring of Prime Ideals in Extensions

Factoring of Prime Ideals in Extensions Chapter 4 Factoring of Prime Ideals in Extensions 4. Lifting of Prime Ideals Recall the basic AKLB setup: A is a Dedekind domain with fraction field K, L is a finite, separable extension of K of degree

More information

by the matrix A results in a vector which is a reflection of the given

by the matrix A results in a vector which is a reflection of the given Eigenvalues & Eigenvectors Example Suppose Then So, geometrically, multiplying a vector in by the matrix A results in a vector which is a reflection of the given vector about the y-axis We observe that

More information

Let H and J be as in the above lemma. The result of the lemma shows that the integral

Let H and J be as in the above lemma. The result of the lemma shows that the integral Let and be as in the above lemma. The result of the lemma shows that the integral ( f(x, y)dy) dx is well defined; we denote it by f(x, y)dydx. By symmetry, also the integral ( f(x, y)dx) dy is well defined;

More information

ON GALOIS REALIZATIONS OF THE 2-COVERABLE SYMMETRIC AND ALTERNATING GROUPS

ON GALOIS REALIZATIONS OF THE 2-COVERABLE SYMMETRIC AND ALTERNATING GROUPS ON GALOIS REALIZATIONS OF THE 2-COVERABLE SYMMETRIC AND ALTERNATING GROUPS DANIEL RABAYEV AND JACK SONN Abstract. Let f(x) be a monic polynomial in Z[x] with no rational roots but with roots in Q p for

More information

Survey and remarks on Viro s definition of Khovanov homology

Survey and remarks on Viro s definition of Khovanov homology RIMS Kôkyûroku Bessatsu B39 (203), 009 09 Survey and remarks on Viro s definition of Khovanov homology By Noboru Ito Abstract This paper reviews and offers remarks upon Viro s definition of the Khovanov

More information

Invariant Metrics with Nonnegative Curvature on Compact Lie Groups

Invariant Metrics with Nonnegative Curvature on Compact Lie Groups Canad. Math. Bull. Vol. 50 (1), 2007 pp. 24 34 Invariant Metrics with Nonnegative Curvature on Compact Lie Groups Nathan Brown, Rachel Finck, Matthew Spencer, Kristopher Tapp and Zhongtao Wu Abstract.

More information

x1 x 2 x 3 y 1 y 2 y 3 x 1 y 2 x 2 y 1 0.

x1 x 2 x 3 y 1 y 2 y 3 x 1 y 2 x 2 y 1 0. Cross product 1 Chapter 7 Cross product We are getting ready to study integration in several variables. Until now we have been doing only differential calculus. One outcome of this study will be our ability

More information

Group Theory. Contents

Group Theory. Contents Group Theory Contents Chapter 1: Review... 2 Chapter 2: Permutation Groups and Group Actions... 3 Orbits and Transitivity... 6 Specific Actions The Right regular and coset actions... 8 The Conjugation

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a

More information

Lectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain

Lectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain Lectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain 1. Orthogonal matrices and orthonormal sets An n n real-valued matrix A is said to be an orthogonal

More information

Mean Value Coordinates

Mean Value Coordinates Mean Value Coordinates Michael S. Floater Abstract: We derive a generalization of barycentric coordinates which allows a vertex in a planar triangulation to be expressed as a convex combination of its

More information

Linear Codes. Chapter 3. 3.1 Basics

Linear Codes. Chapter 3. 3.1 Basics Chapter 3 Linear Codes In order to define codes that we can encode and decode efficiently, we add more structure to the codespace. We shall be mainly interested in linear codes. A linear code of length

More information

GROUPS ACTING ON A SET

GROUPS ACTING ON A SET GROUPS ACTING ON A SET MATH 435 SPRING 2012 NOTES FROM FEBRUARY 27TH, 2012 1. Left group actions Definition 1.1. Suppose that G is a group and S is a set. A left (group) action of G on S is a rule for

More information

How To Prove The Dirichlet Unit Theorem

How To Prove The Dirichlet Unit Theorem Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if

More information

THREE DIMENSIONAL GEOMETRY

THREE DIMENSIONAL GEOMETRY Chapter 8 THREE DIMENSIONAL GEOMETRY 8.1 Introduction In this chapter we present a vector algebra approach to three dimensional geometry. The aim is to present standard properties of lines and planes,

More information

The Essentials of CAGD

The Essentials of CAGD The Essentials of CAGD Chapter 2: Lines and Planes Gerald Farin & Dianne Hansford CRC Press, Taylor & Francis Group, An A K Peters Book www.farinhansford.com/books/essentials-cagd c 2000 Farin & Hansford

More information

ON SELF-INTERSECTIONS OF IMMERSED SURFACES

ON SELF-INTERSECTIONS OF IMMERSED SURFACES PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 126, Number 12, December 1998, Pages 3721 3726 S 0002-9939(98)04456-6 ON SELF-INTERSECTIONS OF IMMERSED SURFACES GUI-SONG LI (Communicated by Ronald

More information

Orthogonal Projections

Orthogonal Projections Orthogonal Projections and Reflections (with exercises) by D. Klain Version.. Corrections and comments are welcome! Orthogonal Projections Let X,..., X k be a family of linearly independent (column) vectors

More information

University of Lille I PC first year list of exercises n 7. Review

University of Lille I PC first year list of exercises n 7. Review University of Lille I PC first year list of exercises n 7 Review Exercise Solve the following systems in 4 different ways (by substitution, by the Gauss method, by inverting the matrix of coefficients

More information

Fiber Polytopes for the Projections between Cyclic Polytopes

Fiber Polytopes for the Projections between Cyclic Polytopes Europ. J. Combinatorics (2000) 21, 19 47 Article No. eujc.1999.0319 Available online at http://www.idealibrary.com on Fiber Polytopes for the Projections between Cyclic Polytopes CHRISTOS A. ATHANASIADIS,

More information

THE DEGREE OF THE SPECIAL LINEAR CHARACTERS OF A RANK TWO FREE GROUP. ======== To appear in Geometriae Dedicata ========

THE DEGREE OF THE SPECIAL LINEAR CHARACTERS OF A RANK TWO FREE GROUP. ======== To appear in Geometriae Dedicata ======== THE DEGREE OF THE SPECIAL LINEAR CHARACTERS OF A RANK TWO FREE GROUP RICHARD J. BROWN Abstract. Given a word W in the free group on letters F, Horowitz showed that the special linear character of W is

More information

ABSTRACT. For example, circle orders are the containment orders of circles (actually disks) in the plane (see [8,9]).

ABSTRACT. For example, circle orders are the containment orders of circles (actually disks) in the plane (see [8,9]). Degrees of Freedom Versus Dimension for Containment Orders Noga Alon 1 Department of Mathematics Tel Aviv University Ramat Aviv 69978, Israel Edward R. Scheinerman 2 Department of Mathematical Sciences

More information

An algorithmic classification of open surfaces

An algorithmic classification of open surfaces An algorithmic classification of open surfaces Sylvain Maillot January 8, 2013 Abstract We propose a formulation for the homeomorphism problem for open n-dimensional manifolds and use the Kerekjarto classification

More information

CHAPTER 9. Integer Programming

CHAPTER 9. Integer Programming CHAPTER 9 Integer Programming An integer linear program (ILP) is, by definition, a linear program with the additional constraint that all variables take integer values: (9.1) max c T x s t Ax b and x integral

More information

OPERS. The geometric Langlands correspondence conjectures a correspondence

OPERS. The geometric Langlands correspondence conjectures a correspondence OPERS JONATHAN BARLEV The geometric Langlands correspondence conjectures a correspondence Qcoloc-sysL Gx)) = D-modBun G )) on the level of derived categories. As remarked previously in theseminar,toeach

More information

The Ideal Class Group

The Ideal Class Group Chapter 5 The Ideal Class Group We will use Minkowski theory, which belongs to the general area of geometry of numbers, to gain insight into the ideal class group of a number field. We have already mentioned

More information

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1. MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column

More information

1 VECTOR SPACES AND SUBSPACES

1 VECTOR SPACES AND SUBSPACES 1 VECTOR SPACES AND SUBSPACES What is a vector? Many are familiar with the concept of a vector as: Something which has magnitude and direction. an ordered pair or triple. a description for quantities such

More information

SPERNER S LEMMA AND BROUWER S FIXED POINT THEOREM

SPERNER S LEMMA AND BROUWER S FIXED POINT THEOREM SPERNER S LEMMA AND BROUWER S FIXED POINT THEOREM ALEX WRIGHT 1. Intoduction A fixed point of a function f from a set X into itself is a point x 0 satisfying f(x 0 ) = x 0. Theorems which establish the

More information

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS A QUIK GUIDE TO THE FOMULAS OF MULTIVAIABLE ALULUS ontents 1. Analytic Geometry 2 1.1. Definition of a Vector 2 1.2. Scalar Product 2 1.3. Properties of the Scalar Product 2 1.4. Length and Unit Vectors

More information

PROJECTIVE GEOMETRY. b3 course 2003. Nigel Hitchin

PROJECTIVE GEOMETRY. b3 course 2003. Nigel Hitchin PROJECTIVE GEOMETRY b3 course 2003 Nigel Hitchin hitchin@maths.ox.ac.uk 1 1 Introduction This is a course on projective geometry. Probably your idea of geometry in the past has been based on triangles

More information

Chapter 13: Basic ring theory

Chapter 13: Basic ring theory Chapter 3: Basic ring theory Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 42, Spring 24 M. Macauley (Clemson) Chapter 3: Basic ring

More information

Introduction to Topology

Introduction to Topology Introduction to Topology Tomoo Matsumura November 30, 2010 Contents 1 Topological spaces 3 1.1 Basis of a Topology......................................... 3 1.2 Comparing Topologies.......................................

More information

Chapter 7: Products and quotients

Chapter 7: Products and quotients Chapter 7: Products and quotients Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 42, Spring 24 M. Macauley (Clemson) Chapter 7: Products

More information

A REMARK ON ALMOST MOORE DIGRAPHS OF DEGREE THREE. 1. Introduction and Preliminaries

A REMARK ON ALMOST MOORE DIGRAPHS OF DEGREE THREE. 1. Introduction and Preliminaries Acta Math. Univ. Comenianae Vol. LXVI, 2(1997), pp. 285 291 285 A REMARK ON ALMOST MOORE DIGRAPHS OF DEGREE THREE E. T. BASKORO, M. MILLER and J. ŠIRÁŇ Abstract. It is well known that Moore digraphs do

More information

Chapter 7. Permutation Groups

Chapter 7. Permutation Groups Chapter 7 Permutation Groups () We started the study of groups by considering planar isometries In the previous chapter, we learnt that finite groups of planar isometries can only be cyclic or dihedral

More information

Nonzero degree tangential maps between dual symmetric spaces

Nonzero degree tangential maps between dual symmetric spaces ISSN 1472-2739 (on-line) 1472-2747 (printed) 709 Algebraic & Geometric Topology Volume 1 (2001) 709 718 Published: 30 November 2001 ATG Nonzero degree tangential maps between dual symmetric spaces Boris

More information

CHAPTER 1 BASIC TOPOLOGY

CHAPTER 1 BASIC TOPOLOGY CHAPTER 1 BASIC TOPOLOGY Topology, sometimes referred to as the mathematics of continuity, or rubber sheet geometry, or the theory of abstract topological spaces, is all of these, but, above all, it is

More information

EXERCISES FOR THE COURSE MATH 570, FALL 2010

EXERCISES FOR THE COURSE MATH 570, FALL 2010 EXERCISES FOR THE COURSE MATH 570, FALL 2010 EYAL Z. GOREN (1) Let G be a group and H Z(G) a subgroup such that G/H is cyclic. Prove that G is abelian. Conclude that every group of order p 2 (p a prime

More information

Recall the basic property of the transpose (for any A): v A t Aw = v w, v, w R n.

Recall the basic property of the transpose (for any A): v A t Aw = v w, v, w R n. ORTHOGONAL MATRICES Informally, an orthogonal n n matrix is the n-dimensional analogue of the rotation matrices R θ in R 2. When does a linear transformation of R 3 (or R n ) deserve to be called a rotation?

More information

Inner product. Definition of inner product

Inner product. Definition of inner product Math 20F Linear Algebra Lecture 25 1 Inner product Review: Definition of inner product. Slide 1 Norm and distance. Orthogonal vectors. Orthogonal complement. Orthogonal basis. Definition of inner product

More information

Topological Treatment of Platonic, Archimedean, and Related Polyhedra

Topological Treatment of Platonic, Archimedean, and Related Polyhedra Forum Geometricorum Volume 15 (015) 43 51. FORUM GEOM ISSN 1534-1178 Topological Treatment of Platonic, Archimedean, and Related Polyhedra Tom M. Apostol and Mamikon A. Mnatsakanian Abstract. Platonic

More information

5.3 The Cross Product in R 3

5.3 The Cross Product in R 3 53 The Cross Product in R 3 Definition 531 Let u = [u 1, u 2, u 3 ] and v = [v 1, v 2, v 3 ] Then the vector given by [u 2 v 3 u 3 v 2, u 3 v 1 u 1 v 3, u 1 v 2 u 2 v 1 ] is called the cross product (or

More information

Name: Section Registered In:

Name: Section Registered In: Name: Section Registered In: Math 125 Exam 3 Version 1 April 24, 2006 60 total points possible 1. (5pts) Use Cramer s Rule to solve 3x + 4y = 30 x 2y = 8. Be sure to show enough detail that shows you are

More information

Department of Pure Mathematics and Mathematical Statistics University of Cambridge GEOMETRY AND GROUPS

Department of Pure Mathematics and Mathematical Statistics University of Cambridge GEOMETRY AND GROUPS Department of Pure Mathematics and Mathematical Statistics University of Cambridge GEOMETRY AND GROUPS Albrecht Dürer s engraving Melencolia I (1514) Notes Michaelmas 2012 T. K. Carne. t.k.carne@dpmms.cam.ac.uk

More information