SOME PROPERTIES OF SYMBOL ALGEBRAS OF DEGREE THREE

Size: px
Start display at page:

Download "SOME PROPERTIES OF SYMBOL ALGEBRAS OF DEGREE THREE"

Transcription

1 SOME PROPERTIES OF SYMBOL ALGEBRAS OF DEGREE THREE CRISTINA FLAUT and DIANA SAVIN Communicated by the former editorial board In this paper, we study some properties of the matrix representations of the symbol algebras of degree three Moreover, we study some equations with coefficients in these algebras, we define the Fibonacci symbol elements and we obtain some of their properties AMS 2010 Subject Classification: 15A24, 15A06, 16G30, 1R52, 11R37, 11B39 Key words: symbol algebras, matrix representation, quaternion and octonion algebras, Fibonacci numbers 0 PRELIMINARIES Let n be an arbitrary positive integer, let K be a field whose chark does not divide n and contains ω, a primitive n-th root of the unity Let K = K\{0}, a, b K and let S be the algebra over K generated by elements x and y where x n = a, y n = b, yx = ωxy This algebra is called a symbol algebra also known as a power norm residue algebra and it is denoted by J Milnor, in [13], calls it symbol a, b K,ω algebra because of its connection with the K-theory and with the Steinberg symbol For n = 2, we obtain the quaternion algebra For details about Steinberg symbol, the reader is referred to [11] and for other details about quaternions, the reader is referred to [14] and [16] In the paper [2], using the associated trace form for a symbol algebra, the author studied some properties of such objects and gave some conditions for a symbol algebra to be with division or not Starting from these results, we intend to find some examples of division symbol algebras Since such an example is not easy to provide, we try to find first sets of invertible elements in a symbol algebra and study their algebraic properties and structure see, for example, Proposition 44 MATH REPORTS 1666, ,

2 444 Cristina Flaut and Diana Savin 2 In the special cases of quaternion algebras, octonion algebras and symbol algebras, the definition of a division algebra is equivalent to the fact that all its nonzero elements are invertible since these algebras admit a type of norm n that permits composition, ie nab = n a n b, for all elements a, b in such an algebra From this idea, for a symbol algebra with a = b = 1 Theorem 47, we proved that all Fibonacci symbol elements are invertible This set is included in the set of the elements denoted by M from Proposition 44, in which we proved that M is a Z-module We intend to complete this set with other invertible elements such that the obtained set to be an algebra not only a Z-module and we intend to study some properties of this module if there exist some properties similar with the properties of the modules from [18] The study of symbol algebras in general, and of degree three in particular, involves very complicated calculus and, usually, can be hard to find examples for some notions Hence, the present paper is rather technical, which is however unavoidable given the subject The paper is structured in four sections In the first section, some definitions and general properties of these algebras are introduced Since the theory of symbol algebras has many applications in different areas of mathematics and other applied sciences, in sections two, we studied matrix representations of symbol algebras of degree three and, in section three, we used some of these properties to solve some equations with coefficients in these algebras Since symbol algebras generalize the quaternion algebras, starting from some results given in the paper [9], in which the author defined and studied Fibonacci quaternions, we define in a similar manner the Fibonacci symbol elements and we study their properties We computed the formula for the reduced norm of a Fibonacci symbol element Proposition 45 and, using this expression, we find an infinite set of invertible elements Theorem 47 1 INTRODUCTION In the following, we assume that K is a commutative field with chark 2, 3 and A is a finite dimensional algebra over the field K The center CA of an algebra A is the set of all elements c A which commute and associate with all elements x A An algebra A is a simple algebra if A is not a zero algebra and {0} and A are the only ideals of A The algebra A is called central simple if the algebra A F = F K A is simple for every field extension F of K Equivalently, a central simple algebra is a simple algebra with CA = K We remark that each simple algebra is central simple over its center If A is a central simple algebra, then dim A = n = m 2, with m N The degree of the central simple algebra A, denoted by DegA, is DegA = m

3 3 Some properties of symbol algebras of degree three 445 If A is an algebra over the field K, a subfield of the algebra A is a subalgebra L of A such that L is a field The subfield L is called a maximal subfield of the algebra A if there is not a subfield F of A such that L F If the algebra A is a central simple algebra, the subfield L of the algebra A is called a strictly maximally subfield of A if [L : K] = m, where [L : K] is the degree of the extension K L Let L M be a field extension This extension is called a cyclic extension if it is a Galois extension and the Galois group G M/L is a cyclic group A central simple algebra A is called a cyclic algebra if there is L, a strictly maximally subfield of the algebra A, such that L/K is a cyclic extension Proposition 11 [14], Proposition a, p 277 Let K L be a cyclic extension with the Galois cyclic group G = G L/K of order n and generated by the element σ If A is a cyclic algebra and contains L as a strictly maximally subfield, then there is an element x A {0} such that: i A = x j L; 0 j n 1 ii x 1 γx = σ γ, for all γ L; iii x n = a K We will denote a cyclic algebra A with L, σ, a We remark that a symbol algebra is a central simple cyclic algebra of degree n For details about central simple algebras and cyclic algebras, the reader is referred to [14] Definition 12 [14] Let A be an algebra over the field K If K L is a finite field extension and n a natural number, then a K-algebra morphism ϕ : A M n L is called a representation of the algebra A The ϕ characteristic polynomial of the element a A is P ϕ X, a = detxi n ϕ a, the ϕ norm of the element a A is η ϕ a = det ϕ a and the ϕ trace of the element a A is τ ϕ a = tr ϕ y If A is a K central simple algebra such that n = DegA, then the representation ϕ is called a splitting representation of the algebra A Remark 13 i If X,Y M n K, K an arbitrary field, then we know that tr X t = tr X and tr X t Y = tr XY t It results that tr XY X 1 = tr Y ii [14], p 296 If ϕ 1 : A M n L 1, ϕ 2 : A M n L 2 are two splitting representations of the K algebra A, then P ϕ1 X, a = P ϕ2 X, a It results that the ϕ 1 characteristic polynomial is the same with the ϕ 2 characteristic polynomial, ϕ 1 norm is the same with ϕ 2 norm, the ϕ 1 trace is the same with ϕ 2 trace and we will denote them by P X, a instead of P ϕ X, a, η A/K instead of η ϕ1 or simply η and τ instead of τ ϕ, when is no confusion in

4 446 Cristina Flaut and Diana Savin 4 notation In this case, the polynomial P X, a is called the characteristic polynomial, the norm η is called the reduced norm of the element a A and τ is called the trace of the element a A Proposition 14 [14], Corollary a, p 296 If A is a central simple algebra over the field K of degree m, ϕ : A M r L is a matrix representation of A, then m r, η ϕ = η r/m, τ ϕ = r/m τ and η ϕ a, τ ϕ a K, for all a A 2 MATRIX REPRESENTATIONS FOR THE SYMBOL ALGEBRAS OF DEGREE THREE Let ω be a cubic root of unity, K be a field such that ω K and S = a, b K,ω be a symbol algebra over the field K generated by elements x and y where 21 x 3 = a, y 3 = b, yx = ωxy, a, b K In [17], the author gave many properties of the left and right matrix representations for the real quaternion algebra Since symbol algebras generalize the quaternion algebras, using some ideas from this paper, in the following, we will study the left and the right matrix representations for the symbol algebras of degree 3 A basis in the algebra S is 22 B = {1, x, x 2, y, y 2, xy, x 2 y 2, x 2 y, xy 2 }, see [2, 4, 11, 14] Let z S, 23 z = c 0 + c 1 x + c 2 x 2 + c 3 y + c 4 y 2 + c 5 xy + c 6 x 2 y 2 + c 7 x 2 y + c 8 xy 2 and Λ z M 9 K be the matrix with the coefficients in K which its columns are the coordinates of the elements {z 1, zx, zx 2, zy, zy 2, zxy, zx 2 y 2, zx 2 y, zxy 2 } in the basis B : Λ z = c 0 ac 2 ac 1 bc 4 bc 3 abω 2 c 6 abω 2 c 5 abωc 8 abωc 7 c 1 c 0 ac 2 bc 8 bc 5 bω 2 c 4 abω 2 c 7 abωc 6 bωc 3 c 2 c 1 c 0 bc 6 bc 7 bω 2 c 8 aω 2 c 3 bωc 4 bωc 5 c 3 aωc 7 aω 2 c 5 c 0 bc 4 ac 2 abωc 8 ac 1 abω 2 c 6 c 4 aω 2 c 6 aωc 8 c 3 c 0 aωc 7 ac 1 aω 2 c 5 ac 2 c 5 ωc 3 aω 2 c 7 c 1 bc 8 c 0 abωc 6 ac 2 bω 2 c 4 c 6 ω 2 c 8 ωc 4 c 7 c 2 ωc 5 c 0 ω 2 c 3 c 1 c 7 ωc 5 ω 2 c 3 c 2 bc 6 c 1 bωc 4 c 0 bω 2 c 8 c 8 ω 2 c 4 aωc 6 c 5 c 1 ωc 3 ac 2 aω 2 c 7 c 0

5 5 Some properties of symbol algebras of degree three 447 Let α ij M 3 K be the matrix with 1 in position i, j and zero in the rest and 0 0 a γ 1 = 1 0 0, β 1 = 0 0 1, β 2 = 1 0 0, β 3 = ω 0, β 4 = ω 0 0 Proposition 21 The map Λ : S M 9 K, z Λ z is a K algebra morphism γ Proof With the above notations, let Λ x = X = 0 α 31 aβ 2 0 β 1 α 13 0 bα 12 ωbβ 4 M 9 K and Λ y = Y = β 3 α 21 0 ω 2 α 23 ωα 33 ω 2 α 12 By straightforward calculations, we obtain: Λ x 2 = X 2, Λ y 2 = Y 2, Λ xy = XY, Λ x 2 y = Λ x 2 Λ y = ΛxΛxy = X 2 Y, Λ xy 2 = Λ x Λ y 2 = ΛxyΛy = XY 2, Λ x 2 y 2 = Λ x 2 Λ y 2 = ΛxΛxy 2 = Λx 2 yλy = X 2 Y 2 Therefore, we have Λ z 1 z 2 = Λ z 1 Λ z 2 It results that Λ is a K algebra morphism The morphism Λ is called the left matrix representation for the algebra S Definition 22 For Z S, we denote by Z = c 0, c 1, c 2, c 3, c 4, c 5, c 6, c 7, c 8 t M 9 1 K the vector representation of the element Z Proposition 23 Let Z, A S, then: i 1 Z = Λ Z 0 ii AZ = Λ A Z Proof ii From i, we obtain that 1 1 AZ = Λ AZ = Λ A Λ Z 0 0, where 0 M 8 1 K is the zero matrix = Λ A Z Remark 24 1 We remark that an element z S is an invertible element in S if and only if det Λ z 0

6 448 Cristina Flaut and Diana Savin 6 2 The Λ norm of the element z S is η Λ z = det Λ z = η 3 z and τ Λ z = 9trΛ z Indeed, from Proposition 14, if A = S, K = L, m = 3, r = 9, ϕ = Λ, we obtain the above relation 3 We have that τ Λ z = trλ z = 9c 0 Let z S, z = A + By + Cy 2, where A = c 0 + c 1 x + c 2 x 2, B = c 3 + c 5 x + c 7 x 2, C = c 4 + c 8 x + c 6 x 2 We denote by z ω = A + ωby + ω 2 Cy 2, z ω 2 = A + ω 2 By + ωcy 2 Proposition 25 Let S = 1,1 K,ω Then η Λ z = η Λ z ω = η Λ z ω 2 Proof The left matrix representation for the element z S is Λ z = c 0 c 2 c 1 c 4 c 3 ω 2 c 6 ω 2 c 5 ωc 8 ωc 7 c 1 c 0 c 2 c 8 c 5 ω 2 c 4 ω 2 c 7 ωc 6 ωc 3 c 2 c 1 c 0 c 6 c 7 ω 2 c 8 ω 2 c 3 ωc 4 ωc 5 c 3 ωc 7 ω 2 c 5 c 0 c 4 ac 2 ωc 8 c 1 ω 2 c 6 c 4 ω 2 c 6 ωc 8 c 3 c 0 ωc 7 c 1 ω 2 c 5 c 2 c 5 ωc 3 ω 2 c 7 c 1 c 8 c 0 ωc 6 c 2 ω 2 c 4 c 6 ω 2 c 8 ωc 4 c 7 c 2 ωc 5 c 0 ω 2 c 3 c 1 c 7 ωc 5 ω 2 c 3 c 2 c 6 c 1 ωc 4 c 0 ω 2 c 8 c 8 ω 2 c 4 ωc 6 c 5 c 1 ωc 3 c 2 ω 2 c 7 c 0 and for the element z ω is c 0 c 2 c 1 ω 2 c 4 ωc 3 ωc 6 c 5 c 8 ω 2 c 7 c 1 c 0 c 2 ω 2 c 8 ωc 5 ωc 4 c 7 c 6 ω 2 c 3 c 2 c 1 c 0 ω 2 c 6 ωc 7 ωc 8 c 3 c 4 ω 2 c 5 c 3 ω 2 c 7 c 5 c 0 ω 2 c 4 c 2 c 8 c 1 ωc 6 Λ z ω = c 4 ωc 6 c 8 ωc 3 c 0 ω 2 c 7 c 1 c 5 c 2 c 5 ω 2 c 3 c 7 c 1 ω 2 c 8 c 0 c 6 c 2 ωc 4 c 6 ωc 8 c 4 ωc 7 c 2 ω 2 c 5 c 0 c 3 c 1 c 7 ω 2 c 5 c 3 c 2 ω 2 c 6 c 1 c 4 c 0 ωc 8 c 8 ωc 4 c 6 ωc 5 c 1 ω 2 c 3 c 2 c 7 c 0 Denoting by D rs = d rs ij M 9 K the matrix defined such that d rs kk = 1 for k / {r, s}, d rs rr = d rs ss = 0, d rs rs = d rs sr = 1 and zero in the rest, we have that det D rs = 1 If we multiply a matrix A to the left with D rs, the new matrix is obtained from A by changing the line r with the line s and if we multiply a matrix A to the right with D rs, the new matrix is obtained from A by changing the column r with the column s By straightforward calculations, it results that Λ z ω = D 79 D 48 D 46 D 57 D 21 D 23 Λ z D 12 D 23 D 49 D 79 D 48 D 59, therefore η Λ z = det Λ z = det Λ z ω = η Λ z ω In the same way, we get that η Λ z = det Λ z = det Λ z ω 2 = η Λ z ω 2

7 7 Some properties of symbol algebras of degree three 449 Similar to the matrix Λ z, z S, we define Γ z M 9 K to be the matrix with the coefficients in K of the basis B for the elements {z 1, xz, x 2 z, yz, y 2 z, xyz, x 2 y 2 z, x 2 yz, xy 2 z} in their columns This matrix is Γ z = c 0 ac 2 ac 1 bc 4 bc 3 abω 2 c 6 abω 2 c 5 abωc 8 abωc 7 c 1 c 0 ac 2 bωc 8 bω 2 c 5 bc 4 abωc 7 abω 2 c 6 bc 3 c 2 c 1 c 0 bω 2 c 6 bωc 7 bωc 8 ac 3 bc 4 bω 2 c 5 c 3 ac 7 ac 5 c 0 bc 4 aω 2 c 2 abω 2 c 8 aωc 1 abωc 6 c 4 ac 6 ac 8 c 3 c 0 aω 2 c 7 aω 2 c 1 aωc 5 aωc 2 c 5 c 3 ac 7 ωc 1 bω 2 c 8 c 0 abωc 6 aω 2 c 2 bc 4 c 6 c 8 c 4 ω 2 c 7 ωc 2 ωc 5 c 0 c 3 ω 2 c 1 c 7 c 5 c 3 ω 2 c 2 bωc 6 ωc 1 bc 4 c 0 bω 2 c 8 c 8 c 4 ac 6 ωc 5 ω 2 c 1 c 3 aωc 2 aω 2 c 7 c 0 Let α ij M 3 K be the matrix with 1 in position i, j and zero in the rest and β 5 = 0 0 1, β 6 = ω 0 0, 0 ω β 7 = , β 8 = Proposition 26 With the above notations, we have: i Γ d 1 z 1 + d 2 z 2 = d 1 Γ z 1 +d 2 Γ z 2, for all z 1, z 2 S and d 1, d 1 K ii Γ z 1 z 2 = Γ z 2 Γ z 1, for all z 1, z 2 S Proof Let Γ x = U = Γ y = V = 0 bα 12 ωbβ 8 β 7 α 21 0 α 23 α 33 α 12 γ ωα 31 aωβ 6 0 ωβ 5 ω 2 α 13 M 9 K and By straightforward calculations, we obtain: Γ x 2 = U 2, Γ y 2 = V 2, Γ yx = UV, Γ x 2 y = Γ y Γ x 2 = ΓxyΓx = V U 2, Γ xy 2 = Γ y 2 Γ x = ΓyΓxy = V 2 U, Γ x 2 y 2 = Γ y 2 Γ x 2 = Γxy 2 Γx = ΓyΓx 2 y = V 2 U 2 Therefore, we have that Γ z 1 z 2 = Γ z 2 Γ z 1 and Γ is a K algebra morphism

8 450 Cristina Flaut and Diana Savin 8 Proposition 27 Let Z, A S, then: i 1 Z = Γ Z 0 ii ZA = Γ A Z iii Λ A Γ B = Γ B Λ A Proposition 28 Let S = Theorem 29 Let S =, where 0 M 8 1 K is the zero matrix a,b K,ω 1,1 K,ω M 9 = 1, 1 a x, 1 a x2, 1 b y, 1 b y2, 1 ab xy, 1 ab x2 y 2, 1 ab x2 y, 1 ab xy2,, therefore η Γ z = η Γ z ω = η Γ z ω 2 be a symbol algebra of degree three and N 9 = 1, x 2, x, y 2, y, x 2 y 2, xy, xy 2, x 2 y t, M 10 = 1, 1 a x2, 1 a x, 1 b y2, 1 b y, 1 ab x2 y 2, 1 ab xy, 1 ab xy2, 1 ab x2 y, N 10 = 1, x, x 2, y, y 2, xy, x 2 y 2, x 2 y, xy 2 t The following relation is true M 9 Λ z N 9 = M 10 Γ t z N 10 = 3z, z S 3 SOME EQUATIONS WITH COEFFICIENTS IN A SYMBOL ALGEBRA OF DEGREE THREE Using some properties of left and right matrix representations found in the above section, we solve some equations with coefficients in a symbol algebra of degree three Let S be an associative algebra of degree three For z S, let P X, z be the characteristic polynomial for the element a 31 P X, z = X 3 τ z X 2 + π z X η z 1, where τ is a linear form, π is a quadratic form and η a cubic form Proposition 31 [1] With the above notations, denoting by z = z 2 τ z z + π z 1, for an associative algebra of degree three, we have: i π z = τ z ii 2π z = τ z 2 τ z 2 iii τ zw = τ wz iv z = η z z v zw = w z vi π zw = π wz In the following, we will solve some equations with coefficients in the symbol algebra of degree three S = For each element Z S relation a,b K,ω 31 holds First, we remark that if the element Z S has η Z 0, then Z is an invertible element Indeed, from 31, we have that ZZ = η Z, therefore Z 1 = Z ηz

9 9 Some properties of symbol algebras of degree three 451 We consider the following equations: 32 AZ = ZA 33 AZ = ZB 34 AZ ZA = C 35 AZ ZB = C, with A, B, C S Proposition 32 i Equation 32 has non-zero solutions in the algebra S ii If equation 33 has nonzero solutions Z in the algebra S such that η Z 0, then τ A = τ B and η A = η B iii If equation 34 has solution, then this solution is not unique iv If Λ A ΓB is an invertible matrix, then equation 35 has a unique solution Proof i Using vector representation, we have that AZ = ZA It results that Λ A Z = Γ A Z, therefore Λ A Γ A Z = 0 The matrix ΛA Γ A has the determinant equal with zero first column is zero, then equation 32 has non-zero solutions ii We obtain η AZ = η BZ and η A = η B since Z is an invertible element in S Using representation Λ, we get Λ A Λ Z = Λ Z Λ B From Remark 13 i, it results that Λ A = Λ Z Λ B Λ Z 1 Therefore τ A = tr Λ A = tr Λ Z Λ B Λ Z 1 = tr Λ B = τ B K iii Using the vector representation, we have Λ A Γ A Z = C and, since the matrix ΛA Γ A has the determinant equal with zero first column is zero, if equation 34 has solution, then this solution is not unique iv Using vector representation, we have Λ A Γ B Z = C Proposition 33 Let A = a 0 + a 1 x + a 2 x 2 + a 3 y + a 4 y 2 + a 5 xy + a 6 x 2 y 2 + a 7 x 2 y + a 8 xy 2 S, B = b 0 + b 1 x + b 2 x 2 + b 3 y + b 4 y 2 + b 5 xy + b 6 x 2 y 2 + b 7 x 2 y + b 8 xy 2 S, A 0 = A a 0 0 and B 0 = B b 0 0 If a 0 = b 0, A 0 B 0, η A 0 = η B 0 = 0 and π A 0 = π B 0 0, then all solutions of equation 33 are in the K-algebra A A, B, the subalgebra of S generated by the elements A and B, and have the form λ 1 X 1 + λ 2 X 2, where λ 1, λ 2 K, X 1 = A 0 + B 0 and X 2 = π A 0 A 0 B 0 Proof First, we verify that X 1 and X 2 are solutions of the equation 33 Now, we prove that X 1 and X 2 are linearly independent elements If α 1 X 1 + α 2 X 2 = 0, it results that α 2 π A 0 = 0, therefore α 2 = 0 We obtain

10 452 Cristina Flaut and Diana Savin 10 that α 1 = 0 Obviously, each element of the form λ 1 X 1 + λ 2 X 2, where λ 1, λ 2 K is a solution of the equation 33 and since π A 0 0 we have that A A, B = A X 1, X 2 Since each solution of the equation 33 belongs to algebra A A, B, it results that all solutions have the form λ 1 X 1 +λ 2 X 2, where λ 1, λ 2 K 4 FIBONACCI SYMBOL ELEMENTS In this section, we will introduce the Fibonacci symbol elements and we will compute the reduced norm of such an element This relation helps us to find an infinite set of invertible elements First of all, we recall [3], [7] and give some properties of Fibonacci numbers, properties which will be used in our proofs Fibonacci numbers are the following sequence of numbers 0, 1, 1, 2, 3, 5, 8, 13, 21,, with the nth term given by the formula: f n = f n 1 + f n 2, n 2, where f 0 = 0, f 1 = 1 The expression for the nth term is 41 f n = 1 5 [α n β n ], where α = and β = Remark 41 Let f n n 0 be the Fibonacci sequence f 0 = 0, f 1 = 1, f n+2 = f n+1 + f n, n N Then f n + f = 2f n+2, n N f n + f n+4 = 3f n+2, n N Remark 42 Let f n n 0 be the Fibonacci sequence f 0 = 0, f 1 = 1, f n+2 = f n+1 + f n, n N Let ω be a primitive root of unity of order 3, let K = Q ω be the cyclotomic field and let S = be the symbol algebra a,b K,ω of degree 3 Thus, S has a K- basis { x i y j 0 i, j < 3 } such that x 3 = a K, y 3 = b K, yx = ωxy Let z S, z = n i,j=1 x i y j c ij The reduced norm of z is ηz=a 2 c 3 20+bc 3 21+b 2 c bc 20 c 21 c 22 +a c bc 3 11+b 2 c bc 10 c 11 c a c 00 c 10 c 20 +bc 01 c 11 c 21 +b 2 c 02 c 12 c 22-3abω c 00 c 12 c 21 +c 01 c 10 c 22 +c 02 c 11 c 20 -

11 11 Some properties of symbol algebras of degree three abω 2 c 00 c 11 c 22 +c 02 c 10 c 21 +c 01 c 12 c 20 +c 3 00+bc 3 01+b 2 c bc 00 c 01 c 02 See [14], p 299 We define the n th Fibonacci symbol element to be the element F n = f n 1 + f n+1 x + f n+2 x 2 + f y+ 43 +f n+4 xy + f n+5 x 2 y + f n+6 y 2 + f n+7 xy 2 + f n+8 x 2 y 2 In [8] AF Horadam generalized the Fibonacci numbers, giving by: h n = h n 1 + h n 2, n N, n 2, h 0 = p, h 1 = q, where p, q are arbitrary integers From [8], relation 7, we have that these numbers satisfy the equality h n+1 = pf n + qf n+1, n N In the following will be easy to use instead of h n+1 the notation h p,q n+1 It is obvious that h p,q n + h p,q n = h p+p,q+q n, for n a positive integers number and p, q, p, q integers numbers See [4] Remark 43 Let f n n 0 be the Fibonacci sequence f 0 = 0, f 1 = 1, f n+2 = f n+1 + f n, n N Then i fn 2 + fn 1 2 = f 1, n N ; ii fn+1 2 f n 1 2 = f, n N ; iii f 2 = 2f n f n+1 2 f n, 2 n N; iv fn 2 f n 1 f n+1 = 1 n 1, n N ; v f = fn 2 + 2f n f n 1 We define the n th generalized Fibonacci symbol element to be the element H p,q n = h p,q n 1 + h p,q n+1 x + hp,q n+2 x2 + h p,q y+ 44 +h p,q n+4 xy + hp,q n+5 x2 y + h p,q n+6 y2 + h p,q n+7 xy2 + h p,q n+8 x2 y 2 What algebraic structure has the set of Fibonacci symbol elements or the set of generalized Fibonacci symbol? The answer will be found in the following proposition Proposition 44 Let M the set { n } M = H p i,q i n i n N, p i, q i Z, i = 1, n {0} is a Z module i=1

12 454 Cristina Flaut and Diana Savin 12 Proof The proof is immediate if we remark that for n 1, n 2 N, p 1, p 2, α 1, α 2 Z, we have: α 1 h p 1,q 1 n 1 + α 2 h p 2,q 2 n 2 = h α 1p 1,α 1 q 1 n 1 + h α 2p 2,α 2 q 2 n 2 Therefore, we obtain that M is a Z submodule of the symbol algebra S In the following, we will compute the reduced norm for the nth Fibonacci symbol element Proposition 45 Let F n be the nth Fibonacci symbol element Let ω be a primitive root of order 3 of unity and let K = Q ω be the cyclotomic field Then the norm of F n is ηf n = 4a 2 h 211,14 +a[f n+2 ωh 30766, h 22358, f 2 n ωh 45013, h 33683,27523 h 84,135 2fn 2 + 8h 8,3 +f h 12,20 fn 2 + ωh 4368,1453 +h 14128, n ωh 1472, h 12982,24138 Proof In this proof, we denote with E x, y, z = x 3 + y 3 + z 3 3xyz We obtain: ηf n = ηf n ω + ω 2 f n 3 + fn fn+2++f 3 n+8 3 = a 2 f n fn fn+8-3f 3 n+2 f n+5 f n+8 +a f n fn fn+7-3f 3 n+1 f f n+7 +a f n 3 + fn fn+2-3f 3 n f n+1 f n+2 +a f 3 + fn fn+5-3f 3 f n+4 f n+5 +a f n fn fn+8-3f 3 n+6 f n+7 f n+8 +a ω 3 fn 3 + fn fn+7-3ωf 3 n f n+5 f n+7 +a f n f 3 + ω 3 fn+8-3ωf 3 n+1 f f n+8 +a f n fn ω 3 fn+6-3ωf 3 n+2 f n+4 f n+6 +a f n 3 + fn ω 6 fn+8-3ω 3 2 f n f n+4 f n+8 +a ω 6 fn fn fn+6-3ω 3 2 f n+1 f n+5 f n+6 +a f n f 3 + ω 6 fn+7 3 3ω 2 f n+2 f f n+7 + fn 3 + f 3 + fn+6-3f 3 n f f n+6 = a 2 E f n+2, f n+5, f n+8 + a E f n+1, f n+4, f n+7 +a E f n, f n+1, f n+2 + a E f, f n+4, f n+5 +a E f n+6, f n+7, f n+8 + a E ωf n, f n+5, f n+7 +a E f n+1, f, ωf n+8 + a E f n+2, f n+4, ωf n+6 - ]

13 13 Some properties of symbol algebras of degree three 455 +a E f n, f n+4, ω 2 f n+8 + a E ω 2 f n+1, f n+5, f n+6 +a E f n+2, f, ω 2 f n+7 + E fn, f, f n+6 Now, we compute E f n+2, f n+5, f n+8 E f n+2, f n+5, f n+8 = = 1 [ 2 f n+2 + f n+5 + f n+8 f n+5 -f n f n+8 -f n f n+8 -f n+2 2] Using Remark 41, Remark 42, Remark 43 iii and the recurrence of the Fibonacci sequence, we obtain: E f n+2, f n+5, f n+8 = = 1 [ 2 2f n+4+f n+8 f n+4 +f n f n+7 +f n f n+1 +2f n+4 +f n+7 2] = = 1 [ 2 f n+4 + 3f n+6 2f 2 + 2f n f + 2f n+6 2] = = 4 11f n f 135f 2 n f 2 n 51f 2 n 1 Then, we have: 46 E f n+2, f n+5, f n+8 =4 11f n+2 +14f 135f 2 n+1+82f 2 n-51f 2 n 1 Using Remark 43 i, ii and the definition of the generalized Fibonacci sequence it is easy to compute that: E f n+2, f n+5, f n+8 =4 11f n+2 +14f 135f +84f 1-2fn 2 = =4 11f n f h 84,135 2fn 2 =4h 11,14 h 84,135 2fn 2 Therefore, we obtain 47 E f n+2, f n+5, f n+8 = 4h 11,14 h 84,135 2fn 2 Replacing n n 1 in relation 46 and using Remark 43, iii and the recurrence of the Fibonacci sequence, we obtain: 48 E f n+1, f n+4, f n+7 =4 3f n+2 +11f 51f 2 n+1+33f 2 n-20f 2 n 1 Now, we calculate E f n, f n+1, f n+2 E f n, f n+1, f n+2 = 1 [ 2 f n+f n+1 +f n+2 f n+1 -f n 2 + f n+2 -f n f n+2 -f n 2] = So, we obtain =f n+2 f 2 n 1 + f 2 n + f 2 n+1 49 E f n, f n+1, f n+2 = f n+2 f 2 n+1 + f 2 n + f 2 n 1

14 456 Cristina Flaut and Diana Savin 14 Replacing n n + 3 in relation 49, using Remark 43 iii and the recurrence of the Fibonacci sequence we obtain: 410 E f, f n+4, f n+5 = f n+2 + 2f 23f 2 n f 2 n 9f 2 n 1 Replacing n n + 3 in relation 410, using Remark 43 iii and the recurrence of the Fibonacci sequence we obtain: 411 E f n+6, f n+7, f n+8 = 3f n+2 +4f 635f 2 n+1+387f 2 n-239f 2 n 1 Adding equalities , after straightforward calculation, we have: E f n+1, f n+4, f n+7 +E f n, f n+1, f n+2 +E f, f n+4, f n+5 +E f n+6, f n+7, f n+8 =f n f 2 n f 2 n-965f 2 n 1 +f 4790f 2 n f 2 n-1854f 2 n 1 Using Remark 43 i, ii, it is easy to compute that: E f n+1, f n+4, f n+7 +E f n, f n+1, f n+2 +E f, f n+4, f n+5 +E f n+6, f n+7, f n+8 = f n f f +27f 2 n +f 2936f f 1 +94f 2 n = 412 = f n+2 h 965, f h 1854, fn 2 h 67,1 Then, we obtained that: n+4 E f n+1, f n+4, f n+7 +E f n, f n+1, f n+2 +E f, f n+4, f n+5 +E f n+6, f n+7, f n+8 = 413 = f n+2 h 965, f h 1854, fn 2 h 67,1 n+4 Replacing n by n 1 in relation 48, using Remark 43 iii and the recurrence of the Fibonacci sequence we obtain: 414 E f n, f, f n+6 =8 8f n+2 +3f 20f 2 n+1+11f 2 n 8f 2 n 1 Using Remark 43 i,ii, the definition of the generalized Fibonacci sequence, we have: E f n, f, f n+6 =8 8f n+2 +3f [20 fn+1 2 fn f 2 n 1 +fn 2 ] f 2 n = =8h 8,3 8 8f n+2 +3f 20f +12f 1 fn 2 Therefore, 415 E f n, f, f n+6 = 8h 8,3 h 12,20 fn 2 Now, we compute E ωf n, f n+5, f n+7 E ωf n, f n+5, f n+7 = 1 2 ωf n+f n+5 +f n+7 + f n+7 -ωf n 2] h 12,20 fn 2 [ f n+7 -f n f n+5 -ωf n 2

15 15 Some properties of symbol algebras of degree three 457 By repeatedly using of Fibonacci sequence recurrence and Remark 43 iii, we obtain: E ωf n, f n+5, f n+7 = 1 2 [2 2+ω f n+2+ 7 ω f ] [104f 2 n+1+65f 2 n 40f 2 n 1+ 8 ωf n+1 +ω 3f n 1 2 In the same way, we have: + 11 ωf n+1 +ω 8f n 1 2 ] E ωf n, f n+5, f n+7 = 1 2 [2 2+ω f n ω f ] [-40ω+287 f 2 n ω+31 f 2 n 1+ 64ω+285 f 2 n-4 16ω-55-1 n] Now, we calculate E f n+1, f, ωf n+8 E f n+1, f, ωf n+8 = 1 2 f n+1 + f + ωf n+8 [ f f n ωf n+8 f 2 + ωf n+8 f n+1 2] By repeatedly using the Fibonacci sequence recurrence and Remark 43 iii, it is easy to compute that: 417 E f n+1, f, ωf n+8 =[5ω 1 f n ω 1 f ] [ 2 696ω +578f 2 n+1 182ω+169f 2 n ω+441 f 2 n+ 970ω n ] Now, we calculate E f n+2, f n+4, ωf n+6 E f n+2, f n+4, ωf n+6 = = 1 [ 2 f n+2+f n+4 +ωf n+6 f n+4 -f n ωf n+6 -f n ωf n+6 -f n+2 2] 418 In the same way, we obtain: E f n+2, f n+4, ωf n+6 = 1 2 [2 ω+1 f n+2+ 3ω+1 f ] [520ω +309 f 2 n+1+ 80ω+47 f 2 n ω 21 f 2 n+8 14ω+3 1 n ] Adding relations 416, 417, 418 and making some calculus, it results: E ωf n, f n+5, f n+7 + E f n+1, f, ωf n+8 + E f n+2, f n+4, ωf n+6 = = f n+2 [10138ω+6127 f 2 n ω+5231 f 2 n+ 301ω+1132 f 2 n 1 1 n 1235ω+5315]+f [4103ω f 2 n ω+8566 f 2 n ω+1771 f 2 n 1 1 n 11396ω+16279]

16 458 Cristina Flaut and Diana Savin 16 Now, we compute E f n, f n+4, ω 2 f n+8 E f n, f n+4, ω 2 f n+8 = = 1 fn + f n+4 +ω 2 f n+8 [f n+4 -f n 2 + ω 2 2 f n+8 f n+4 + ω 2 ] 2 f n+8 f n 2 Using Remark 42, the recurrence of the Fibonacci sequence we obtain: f n +f n+4 =3f n+2 ; f n+4 f n = 3f n+1 +f n ; f n+8 = 5f n+2 +8f Using Remark 43 iv it is easy to compute that: E f n, f n+4, ω 2 f n+8 = [ 5ω + 8 fn+2 +8 ω+1 f ] [1460ω+325 f 2 n ω+42 f 2 n ω+127 f 2 n- 1030ω n ] Similarly, it is easy to compute that: E f n+2, f, ω 2 f n+7 = [3ω + 2 fn+2 + 5ω + 4 f ] [546ω+112 f 2 n+1+ 80ω+17 f 2 n 1 418ω+87 f 2 n 418ω+87 1 n ] Now, we compute E f n+5, f n+6, ω 2 f n+1 E f n+5, f n+6, ω 2 1 f n+1 = fn+5 + f n+6 + ω 2 f n+1 2 [f n+6 f n f n+5 ω 2 2 f n+1 + fn+6 ω 2 ] 2 f n+1 Using the recurrence of the Fibonacci sequence, we have: f n+5 +f n+6 +ω 2 f n+1 = ω+4 f n+2 + ω+4 f ; f n+6 f n+5 =3f n+1 +2f n, f n+5 ω 2 f n+1 = ω+6 f n+1 +3f n ; f n+6 ω 2 f n+1 = ω+9 f n+1 +4f n Using Remark 43 iv it is easy to compute that: 422 E f n+5, f n+6, ω 2 f n+1 = [ω + 4 fn+2 + ω + 4 f ] [23ω+151 f 2 n+1+19f 2 n 1 6ω+107 f 2 n 6ω n] Adding equalities , we have: E f n, f n+4, ω 2 f n+8 +E ω 2 f n+1, f n+5, f n+6 +E fn+2, f, ω 2 f n+7 = f n+2 [17785ω f 2 n ω+7667 f 2 n+ 2542ω+1658 f 2 n ω n ]+f [ 2650ω 6171 f 2 n ω+7859 f 2 n ω f 2 n ω n ] Adding ,423, it results:

17 17 Some properties of symbol algebras of degree three E f n+1, f n+4, f n+7 + E f n, f n+1, f n+2 + E f, f n+4, f n+5 + E f n+6, f n+7, f n+8 + E ωf n, f n+5, f n+7 + E f n+1, f, ωf n+8 + E f n+2, f n+4, ωf n+6 + E f n, f n+4, ω 2 f n+8 + E ω 2 f n+1, f n+5, f n+6 + E fn+2, f, ω 2 f n+7 = f n f n f 2 n 2 965fn 1 +f 4790f 2 n f 2 n fn f n+2 [27923ω f 2 n ω f 2 n ω f 2 n ω n ]+f [1453ω f 2 n ω f 2 n ω f 2 n ω n ] Using Remark 43 i, ii and the definition of the generalized Fibonacci numbers, it is easy to compute that: E f n+1, f n+4, f n+7 +E f n, f n+1, f n+2 +E f, f n+4, f n+5 f 2 n +E f n+6, f n+7, f n+8 + E ωf n, f n+5, f n+7 +E f n+1, f, ωf n+8 +E f n+2, f n+4, ωf n+6 + E f n, f n+4, ω 2 f n+8 +E ω 2 f n+1, f n+5, f n+6 +E fn+2, f, ω 2 f n+7 = f n+2 ωh 30766, h 22358, f ωh 45013, h 33683, n+1 Therefore, we obtain: ωh 4368,1453 +h 14128,12163 ωh 1472, h 12982, E f n+1, f n+4, f n+7 +E f n, f n+1, f n+2 +E f, f n+4, f n+5 +E f n+6, f n+7, f n+8 + E ωf n, f n+5, f n+7 + E f n+1, f, ωf n+8 + E f n+2, f n+4, ωf n+6 + E f n, f n+4, ω 2 f n+8 + E ω 2 f n+1, f n+5, f n+6 + E fn+2, f, ω 2 f n+7 = f n+2 ωh 30766, h 22358, f fn 2 ωh 45013, h 33683, n+1 Adding equalities 47, 415, 425, we have: ηf n =4a 2 h 211,14 h 84,135-2fn 2 +8h 8,3 +a[f n+2 ωh 30766, h 22358,20533 ωh 4368,1453 +h 14128,12163 ωh 1472, h 12982,24138 h 12,20 fn 2 +

18 460 Cristina Flaut and Diana Savin 18 f ωh 4368,1453 +h 14128,12163 fn 2 1 n ωh 1472, h 12982,24138 ωh 45013, h 33683,27523 ] Corollary 46 Let F n be the n th Fibonacci symbol element Let ω be a primitive root of order 3 of unity and let K = Q ω be the cyclotomic field Then, the norm of F n is ηf n =f n+2 ωh 30766, h 26822, f ωh 4368, h 19120,20203 fn 2 ωh 45013, h 33835, n+1 ωh 1472, h 12982,24138 Proof From the relation 47, we know that E f n+2, f n+5, f n+8 = 4 11f n f Therefore, we obtain 426 Ef n+2, f n+5, f n+8 =f n+2 h 3696,5940 From the relation 415, we know that 88f 2 n E f n, f, f n+6 = 8 8f n+2 + 3f h 84,135 2fn 2 +f h 4704,7560 h 12,20 fn 2 112f 2 n Then, we obtain 427 E f n, f, f n+6 = f n+2 h 768, fn 2 + f h 288,480 24fn 2 Adding equalities 426 and 427 it is easy to compute that: =f n+2 h 3696,5940 +h 768,1280 It results E f n+2, f n+5, f n+8 +E f n, f, f n+6 = +f h 4704,7560 +h 288,480 =f n+2 h 4464,7220 +f h 4992,8040 f 2 nh 152,136 ηf n =f n+2 h 4464,7220 +f h 4992,8040 fnh 2 152,136 +f n+2 ωh 30766, h 22358, f ωh 4368,1453 +h 14128,12163 fn 2 ωh 45013, n ωh 1472, h 12982,24138 f 2 n 152f n f +h 33683,27523 Therefore ηf n =f n+2 ωh 30766, h 26822, f ωh 4368,1453 +h 19120,20203 fn 2 ωh 45013, h 33835, n+1 ωh 1472, h 12982,24138

19 19 Some properties of symbol algebras of degree three 461 In conclusion, even indices of the top of generalized Fibonacci numbers are very large, the expressions of the norm ηf n from Proposition 45 and from Corollary 46 are much shorter than the formula founded in [14] and, in addition, the powers of Fibonacci numbers in these expressions are 1 or 2 Let S = 1,1 Q,ω be a symbol algebra of degree 3 Using the norm form given in the Corollary 46, we obtain: η F n =ω f n+2 h 30766, f h 4368,1453 fnh , n+1 h 1472, f n+2 h 26822, f h 19120,20203 fnh , n+1 h 12982,24138 If η F n 0, we know that the element F n is invertible From relation η F n 0, it results 428 f n+2 h 30766, f h 4368,1453 f 2 nh 45013, n+1 h 1472, or 429 f n+2 h 26822, f h 19120,20203 f 2 nh 33835, n+1 h 12982, Using relation 41 and Remark 43, i and v, we obtain that f n+2 h 26822, f h 19120,20203 fnh , n+1 h 12982,24138 = 26822f n+2 f f n+2 f f f f f 33835f 2 nf n f 2 nf + 1 n f n n f = 26822f n+2 f 2 n f n+2 f 2 n f n+2 f 2 n f n 1 f n f n f f 2 n f f 2 n f f 33835f 2 nf n f 2 nf + 1 n f n n f = 26822f n+2 f 2 n n f n f n+2 f 2 n f n+2 f 2 n 27659f 2 nf f n 1 f n f n n f f f 2 n f f 33835f 2 nf n f f 2 n 1 We remark that 26822f n+2 f 2 n 1 + 1n f n+2 > 0 We have 26822f n+2 fn f n+2 fn fnf 2 = 54575f n+2 fn fnf 2 0, since 54575f n+2 > 27659f is equivalently with f n+2 f > , 506,which is true for all n 1For n = 0, we have 54575f n+2fn fnf 2 = 0 Obviously, f n 1 f n f n n f = 55506f n 1 f n f n n f > 0, since f f n+2 < , 29

20 462 Cristina Flaut and Diana Savin 20 And, finally, 19120f fn f f 33835fnf 2 n+2 > 0, since f > fn 2 and = > From the above, we have that the term f n+2 h 26822, f h 19120,20203 fnh , n+1 h 12982,24138 > 0 for all n N We just proved the following result: Theorem 47 Let S = 1,1 Q,ω be a symbol algebra of degree 3 All symbol Fibonacci elements are invertible elements 5 CONCLUSIONS In this paper, we studied some properties of the matrix representation of symbol algebras of degree 3 Using some properties of left matrix representations, we solved equations with coefficients in these algebras The study of symbol algebras of degree three involves very complicated calculus and, usually, can be hard to find examples for some notions We introduced the Fibonacci symbol elements, we gave an easier expression of reduced norm of Fibonacci symbol elements, and, from this formula, we found examples of many invertible elements, namely all Fibonacci symbol elements are invertible Using some ideas from this paper, we expect to obtain some interesting new results in a further research and we hope that this kind of sets of invertible elements will help us to provide, in the future, examples of symbol division algebra of degree three or of degree greater than three This idea will be developped in our next researchs Acknowledgments The authors would like to thank the referee for his/her patience and suggestions, which helped us improve this paper Since the second author had the first ideas of this paper during her visit to the International Centre of Theoretical Physics ICTP in Trieste in August 2011, she wishes to express her thanks to the Department of Mathematics of ICTP for hospitality and support REFERENCES [1] JR Faulkner, Finding octonion algebras in associative algebras Proc Amer Math Soc , [2] R Flatley, Trace forms of Symbol Algebras Algebra Colloq , [3] C Flaut and V Shpakivskyi, On Generalized Fibonacci Quaternions and Fibonacci- Narayana Quaternions Adv Appl Clifford Algebr , [4] B Gezer and O Bizim, Cubes in elliptic divisibility sequences, Math Rep , 1, [5] P Gille and T Szamuely, Central Simple Algebras and Galois Cohomology Cambridge University Press, 2006 [6] M Hazewinkel, Handbook of Algebra Vol 2, North Holland, Amsterdam, 2000

21 21 Some properties of symbol algebras of degree three 463 [7] S Halici, On some inequalities and Hankel matrice involving Pell, Pell-Lucas numbers Math Rep , 1, 1 10 [8] AF Horadam, A Generalized Fibonacci Sequence Amer Math Monthly , [9] AF Horadam, Complex Fibonacci Numbers and Fibonacci Quaternions Amer Math Monthly , [10] L Kaplansky, Infinite-dimensional quadratic forms admitting composition Proc Amer Math , [11] TY Lam, Introduction To Quadratic Forms Over Fields Graduate Studies in Mathematics 67, American Mathematical Society, Providence RI, 2005 [12] JS Milne, Class field theory [13] J Milnor, Introduction to Algebraic K-Theory Annals of Mathematics Studies, Princeton Univ Press, 1971 [14] RS Pierce, Associative Algebras Springer Verlag, New York, Heidelberg, Berlin, 1982 [15] D Savin, C Flaut and C Ciobanu, Some properties of the symbol algebras Carpathian J Math , 2, [16] M Tărnăuceanu, A characterization of the quaternion group An Ştiinţ Univ Ovidius Constanţa Ser Mat , [17] Y Tian, Matrix reprezentations of octonions and their applications Adv Appl Clifford Algebra , [18] E Türkmen, Pad Supplemented modules An Ştiinţ Univ Ovidius Constanţa Ser Mat , Received 2 December 2012 Ovidius University, Faculty of Mathematics and Computer Science, Bd Mamaia 124, , Constanţa, Romania cflaut@univ-ovidiusro, cristina flaut@yahoocom Ovidius University, Faculty of Mathematics and Computer Science, Bd Mamaia 124, , Constanţa, Romania savindiana@univ-ovidiusro, dianet72@yahoocom

Associativity condition for some alternative algebras of degree three

Associativity condition for some alternative algebras of degree three Associativity condition for some alternative algebras of degree three Mirela Stefanescu and Cristina Flaut Abstract In this paper we find an associativity condition for a class of alternative algebras

More information

The Australian Journal of Mathematical Analysis and Applications

The Australian Journal of Mathematical Analysis and Applications The Australian Journal of Mathematical Analysis and Applications Volume 7, Issue, Article 11, pp. 1-14, 011 SOME HOMOGENEOUS CYCLIC INEQUALITIES OF THREE VARIABLES OF DEGREE THREE AND FOUR TETSUYA ANDO

More information

minimal polyonomial Example

minimal polyonomial Example Minimal Polynomials Definition Let α be an element in GF(p e ). We call the monic polynomial of smallest degree which has coefficients in GF(p) and α as a root, the minimal polyonomial of α. Example: We

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

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

Row Ideals and Fibers of Morphisms

Row Ideals and Fibers of Morphisms Michigan Math. J. 57 (2008) Row Ideals and Fibers of Morphisms David Eisenbud & Bernd Ulrich Affectionately dedicated to Mel Hochster, who has been an inspiration to us for many years, on the occasion

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

The Notebook Series. The solution of cubic and quartic equations. R.S. Johnson. Professor of Applied Mathematics

The Notebook Series. The solution of cubic and quartic equations. R.S. Johnson. Professor of Applied Mathematics The Notebook Series The solution of cubic and quartic equations by R.S. Johnson Professor of Applied Mathematics School of Mathematics & Statistics University of Newcastle upon Tyne R.S.Johnson 006 CONTENTS

More information

Cyclotomic Extensions

Cyclotomic Extensions Chapter 7 Cyclotomic Extensions A cyclotomic extension Q(ζ n ) of the rationals is formed by adjoining a primitive n th root of unity ζ n. In this chapter, we will find an integral basis and calculate

More information

FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z

FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z DANIEL BIRMAJER, JUAN B GIL, AND MICHAEL WEINER Abstract We consider polynomials with integer coefficients and discuss their factorization

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

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

Linear Algebra I. Ronald van Luijk, 2012

Linear Algebra I. Ronald van Luijk, 2012 Linear Algebra I Ronald van Luijk, 2012 With many parts from Linear Algebra I by Michael Stoll, 2007 Contents 1. Vector spaces 3 1.1. Examples 3 1.2. Fields 4 1.3. The field of complex numbers. 6 1.4.

More information

MATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets.

MATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets. MATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets. Norm The notion of norm generalizes the notion of length of a vector in R n. Definition. Let V be a vector space. A function α

More information

1 = (a 0 + b 0 α) 2 + + (a m 1 + b m 1 α) 2. for certain elements a 0,..., a m 1, b 0,..., b m 1 of F. Multiplying out, we obtain

1 = (a 0 + b 0 α) 2 + + (a m 1 + b m 1 α) 2. for certain elements a 0,..., a m 1, b 0,..., b m 1 of F. Multiplying out, we obtain Notes on real-closed fields These notes develop the algebraic background needed to understand the model theory of real-closed fields. To understand these notes, a standard graduate course in algebra is

More information

ON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP. A. K. Das and R. K. Nath

ON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP. A. K. Das and R. K. Nath International Electronic Journal of Algebra Volume 7 (2010) 140-151 ON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP A. K. Das and R. K. Nath Received: 12 October 2009; Revised: 15 December

More information

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2. Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given

More information

DEFINITION 5.1.1 A complex number is a matrix of the form. x y. , y x

DEFINITION 5.1.1 A complex number is a matrix of the form. x y. , y x Chapter 5 COMPLEX NUMBERS 5.1 Constructing the complex numbers One way of introducing the field C of complex numbers is via the arithmetic of matrices. DEFINITION 5.1.1 A complex number is a matrix of

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

SECOND DERIVATIVE TEST FOR CONSTRAINED EXTREMA

SECOND DERIVATIVE TEST FOR CONSTRAINED EXTREMA SECOND DERIVATIVE TEST FOR CONSTRAINED EXTREMA This handout presents the second derivative test for a local extrema of a Lagrange multiplier problem. The Section 1 presents a geometric motivation for the

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

Ideal Class Group and Units

Ideal Class Group and Units Chapter 4 Ideal Class Group and Units We are now interested in understanding two aspects of ring of integers of number fields: how principal they are (that is, what is the proportion of principal ideals

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

ECE 842 Report Implementation of Elliptic Curve Cryptography

ECE 842 Report Implementation of Elliptic Curve Cryptography ECE 842 Report Implementation of Elliptic Curve Cryptography Wei-Yang Lin December 15, 2004 Abstract The aim of this report is to illustrate the issues in implementing a practical elliptic curve cryptographic

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

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

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

ACTA UNIVERSITATIS APULENSIS No 15/2008 PRODUCTS OF MULTIALGEBRAS AND THEIR FUNDAMENTAL ALGEBRAS. Cosmin Pelea

ACTA UNIVERSITATIS APULENSIS No 15/2008 PRODUCTS OF MULTIALGEBRAS AND THEIR FUNDAMENTAL ALGEBRAS. Cosmin Pelea ACTA UNIVERSITATIS APULENSIS No 15/2008 PRODUCTS OF MULTIALGEBRAS AND THEIR FUNDAMENTAL ALGEBRAS Cosmin Pelea Abstract. An important tool in the hyperstructure theory is the fundamental relation. The factorization

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

Chapter 17. Orthogonal Matrices and Symmetries of Space

Chapter 17. Orthogonal Matrices and Symmetries of Space Chapter 17. Orthogonal Matrices and Symmetries of Space Take a random matrix, say 1 3 A = 4 5 6, 7 8 9 and compare the lengths of e 1 and Ae 1. The vector e 1 has length 1, while Ae 1 = (1, 4, 7) has length

More information

F. ABTAHI and M. ZARRIN. (Communicated by J. Goldstein)

F. ABTAHI and M. ZARRIN. (Communicated by J. Goldstein) Journal of Algerian Mathematical Society Vol. 1, pp. 1 6 1 CONCERNING THE l p -CONJECTURE FOR DISCRETE SEMIGROUPS F. ABTAHI and M. ZARRIN (Communicated by J. Goldstein) Abstract. For 2 < p

More information

Galois Theory III. 3.1. Splitting fields.

Galois Theory III. 3.1. Splitting fields. Galois Theory III. 3.1. Splitting fields. We know how to construct a field extension L of a given field K where a given irreducible polynomial P (X) K[X] has a root. We need a field extension of K where

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

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

Gröbner Bases and their Applications

Gröbner Bases and their Applications Gröbner Bases and their Applications Kaitlyn Moran July 30, 2008 1 Introduction We know from the Hilbert Basis Theorem that any ideal in a polynomial ring over a field is finitely generated [3]. However,

More information

Quotient Rings and Field Extensions

Quotient Rings and Field Extensions Chapter 5 Quotient Rings and Field Extensions In this chapter we describe a method for producing field extension of a given field. If F is a field, then a field extension is a field K that contains F.

More information

Factorization in Polynomial Rings

Factorization in Polynomial Rings Factorization in Polynomial Rings These notes are a summary of some of the important points on divisibility in polynomial rings from 17 and 18 of Gallian s Contemporary Abstract Algebra. Most of the important

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

RINGS WITH A POLYNOMIAL IDENTITY

RINGS WITH A POLYNOMIAL IDENTITY RINGS WITH A POLYNOMIAL IDENTITY IRVING KAPLANSKY 1. Introduction. In connection with his investigation of projective planes, M. Hall [2, Theorem 6.2]* proved the following theorem: a division ring D in

More information

FACTORISATION YEARS. A guide for teachers - Years 9 10 June 2011. The Improving Mathematics Education in Schools (TIMES) Project

FACTORISATION YEARS. A guide for teachers - Years 9 10 June 2011. The Improving Mathematics Education in Schools (TIMES) Project 9 10 YEARS The Improving Mathematics Education in Schools (TIMES) Project FACTORISATION NUMBER AND ALGEBRA Module 33 A guide for teachers - Years 9 10 June 2011 Factorisation (Number and Algebra : Module

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

I. GROUPS: BASIC DEFINITIONS AND EXAMPLES

I. GROUPS: BASIC DEFINITIONS AND EXAMPLES I GROUPS: BASIC DEFINITIONS AND EXAMPLES Definition 1: An operation on a set G is a function : G G G Definition 2: A group is a set G which is equipped with an operation and a special element e G, called

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

WHEN DOES A CROSS PRODUCT ON R n EXIST?

WHEN DOES A CROSS PRODUCT ON R n EXIST? WHEN DOES A CROSS PRODUCT ON R n EXIST? PETER F. MCLOUGHLIN It is probably safe to say that just about everyone reading this article is familiar with the cross product and the dot product. However, what

More information

7. Some irreducible polynomials

7. Some irreducible polynomials 7. Some irreducible polynomials 7.1 Irreducibles over a finite field 7.2 Worked examples Linear factors x α of a polynomial P (x) with coefficients in a field k correspond precisely to roots α k [1] of

More information

Pythagorean vectors and their companions. Lattice Cubes

Pythagorean vectors and their companions. Lattice Cubes Lattice Cubes Richard Parris Richard Parris (rparris@exeter.edu) received his mathematics degrees from Tufts University (B.A.) and Princeton University (Ph.D.). For more than three decades, he has lived

More information

ABSTRACT ALGEBRA: A STUDY GUIDE FOR BEGINNERS

ABSTRACT ALGEBRA: A STUDY GUIDE FOR BEGINNERS ABSTRACT ALGEBRA: A STUDY GUIDE FOR BEGINNERS John A. Beachy Northern Illinois University 2014 ii J.A.Beachy This is a supplement to Abstract Algebra, Third Edition by John A. Beachy and William D. Blair

More information

JUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson

JUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson JUST THE MATHS UNIT NUMBER 1.8 ALGEBRA 8 (Polynomials) by A.J.Hobson 1.8.1 The factor theorem 1.8.2 Application to quadratic and cubic expressions 1.8.3 Cubic equations 1.8.4 Long division of polynomials

More information

On the representability of the bi-uniform matroid

On the representability of the bi-uniform matroid On the representability of the bi-uniform matroid Simeon Ball, Carles Padró, Zsuzsa Weiner and Chaoping Xing August 3, 2012 Abstract Every bi-uniform matroid is representable over all sufficiently large

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

FINITE DIMENSIONAL ORDERED VECTOR SPACES WITH RIESZ INTERPOLATION AND EFFROS-SHEN S UNIMODULARITY CONJECTURE AARON TIKUISIS

FINITE DIMENSIONAL ORDERED VECTOR SPACES WITH RIESZ INTERPOLATION AND EFFROS-SHEN S UNIMODULARITY CONJECTURE AARON TIKUISIS FINITE DIMENSIONAL ORDERED VECTOR SPACES WITH RIESZ INTERPOLATION AND EFFROS-SHEN S UNIMODULARITY CONJECTURE AARON TIKUISIS Abstract. It is shown that, for any field F R, any ordered vector space structure

More information

COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS

COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS Bull Austral Math Soc 77 (2008), 31 36 doi: 101017/S0004972708000038 COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS IGOR V EROVENKO and B SURY (Received 12 April 2007) Abstract We compute

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

Finite dimensional C -algebras

Finite dimensional C -algebras Finite dimensional C -algebras S. Sundar September 14, 2012 Throughout H, K stand for finite dimensional Hilbert spaces. 1 Spectral theorem for self-adjoint opertors Let A B(H) and let {ξ 1, ξ 2,, ξ n

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

By reversing the rules for multiplication of binomials from Section 4.6, we get rules for factoring polynomials in certain forms.

By reversing the rules for multiplication of binomials from Section 4.6, we get rules for factoring polynomials in certain forms. SECTION 5.4 Special Factoring Techniques 317 5.4 Special Factoring Techniques OBJECTIVES 1 Factor a difference of squares. 2 Factor a perfect square trinomial. 3 Factor a difference of cubes. 4 Factor

More information

Modern Optimization Methods for Big Data Problems MATH11146 The University of Edinburgh

Modern Optimization Methods for Big Data Problems MATH11146 The University of Edinburgh Modern Optimization Methods for Big Data Problems MATH11146 The University of Edinburgh Peter Richtárik Week 3 Randomized Coordinate Descent With Arbitrary Sampling January 27, 2016 1 / 30 The Problem

More information

11 Ideals. 11.1 Revisiting Z

11 Ideals. 11.1 Revisiting Z 11 Ideals The presentation here is somewhat different than the text. In particular, the sections do not match up. We have seen issues with the failure of unique factorization already, e.g., Z[ 5] = O Q(

More information

it is easy to see that α = a

it is easy to see that α = a 21. Polynomial rings Let us now turn out attention to determining the prime elements of a polynomial ring, where the coefficient ring is a field. We already know that such a polynomial ring is a UF. Therefore

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

Math Review. for the Quantitative Reasoning Measure of the GRE revised General Test

Math Review. for the Quantitative Reasoning Measure of the GRE revised General Test Math Review for the Quantitative Reasoning Measure of the GRE revised General Test www.ets.org Overview This Math Review will familiarize you with the mathematical skills and concepts that are important

More information

Monogenic Fields and Power Bases Michael Decker 12/07/07

Monogenic Fields and Power Bases Michael Decker 12/07/07 Monogenic Fields and Power Bases Michael Decker 12/07/07 1 Introduction Let K be a number field of degree k and O K its ring of integers Then considering O K as a Z-module, the nicest possible case is

More information

Inner Product Spaces

Inner Product Spaces Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and

More information

Introduction to Matrix Algebra

Introduction to Matrix Algebra Psychology 7291: Multivariate Statistics (Carey) 8/27/98 Matrix Algebra - 1 Introduction to Matrix Algebra Definitions: A matrix is a collection of numbers ordered by rows and columns. It is customary

More information

COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS

COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS IGOR V. EROVENKO AND B. SURY ABSTRACT. We compute commutativity degrees of wreath products A B of finite abelian groups A and B. When B

More information

A characterization of trace zero symmetric nonnegative 5x5 matrices

A characterization of trace zero symmetric nonnegative 5x5 matrices A characterization of trace zero symmetric nonnegative 5x5 matrices Oren Spector June 1, 009 Abstract The problem of determining necessary and sufficient conditions for a set of real numbers to be the

More information

discuss how to describe points, lines and planes in 3 space.

discuss how to describe points, lines and planes in 3 space. Chapter 2 3 Space: lines and planes In this chapter we discuss how to describe points, lines and planes in 3 space. introduce the language of vectors. discuss various matters concerning the relative position

More information

MATH 590: Meshfree Methods

MATH 590: Meshfree Methods MATH 590: Meshfree Methods Chapter 7: Conditionally Positive Definite Functions Greg Fasshauer Department of Applied Mathematics Illinois Institute of Technology Fall 2010 fasshauer@iit.edu MATH 590 Chapter

More information

Linear Algebra Done Wrong. Sergei Treil. Department of Mathematics, Brown University

Linear Algebra Done Wrong. Sergei Treil. Department of Mathematics, Brown University Linear Algebra Done Wrong Sergei Treil Department of Mathematics, Brown University Copyright c Sergei Treil, 2004, 2009, 2011, 2014 Preface The title of the book sounds a bit mysterious. Why should anyone

More information

Introduction to Finite Fields (cont.)

Introduction to Finite Fields (cont.) Chapter 6 Introduction to Finite Fields (cont.) 6.1 Recall Theorem. Z m is a field m is a prime number. Theorem (Subfield Isomorphic to Z p ). Every finite field has the order of a power of a prime number

More information

Chapter 6. Orthogonality

Chapter 6. Orthogonality 6.3 Orthogonal Matrices 1 Chapter 6. Orthogonality 6.3 Orthogonal Matrices Definition 6.4. An n n matrix A is orthogonal if A T A = I. Note. We will see that the columns of an orthogonal matrix must be

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

MATH 4552 Cubic equations and Cardano s formulae

MATH 4552 Cubic equations and Cardano s formulae MATH 455 Cubic equations and Cardano s formulae Consider a cubic equation with the unknown z and fixed complex coefficients a, b, c, d (where a 0): (1) az 3 + bz + cz + d = 0. To solve (1), it is convenient

More information

9.2 Summation Notation

9.2 Summation Notation 9. Summation Notation 66 9. Summation Notation In the previous section, we introduced sequences and now we shall present notation and theorems concerning the sum of terms of a sequence. We begin with a

More information

Linear algebra and the geometry of quadratic equations. Similarity transformations and orthogonal matrices

Linear algebra and the geometry of quadratic equations. Similarity transformations and orthogonal matrices MATH 30 Differential Equations Spring 006 Linear algebra and the geometry of quadratic equations Similarity transformations and orthogonal matrices First, some things to recall from linear algebra Two

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

Lecture 18 - Clifford Algebras and Spin groups

Lecture 18 - Clifford Algebras and Spin groups Lecture 18 - Clifford Algebras and Spin groups April 5, 2013 Reference: Lawson and Michelsohn, Spin Geometry. 1 Universal Property If V is a vector space over R or C, let q be any quadratic form, meaning

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

(a) Write each of p and q as a polynomial in x with coefficients in Z[y, z]. deg(p) = 7 deg(q) = 9

(a) Write each of p and q as a polynomial in x with coefficients in Z[y, z]. deg(p) = 7 deg(q) = 9 Homework #01, due 1/20/10 = 9.1.2, 9.1.4, 9.1.6, 9.1.8, 9.2.3 Additional problems for study: 9.1.1, 9.1.3, 9.1.5, 9.1.13, 9.2.1, 9.2.2, 9.2.4, 9.2.5, 9.2.6, 9.3.2, 9.3.3 9.1.1 (This problem was not assigned

More information

Equations, Inequalities & Partial Fractions

Equations, Inequalities & Partial Fractions Contents Equations, Inequalities & Partial Fractions.1 Solving Linear Equations 2.2 Solving Quadratic Equations 1. Solving Polynomial Equations 1.4 Solving Simultaneous Linear Equations 42.5 Solving Inequalities

More information

Galois Theory. Richard Koch

Galois Theory. Richard Koch Galois Theory Richard Koch April 2, 2015 Contents 1 Preliminaries 4 1.1 The Extension Problem; Simple Groups.................... 4 1.2 An Isomorphism Lemma............................. 5 1.3 Jordan Holder...................................

More information

CURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC. 1. Introduction

CURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC. 1. Introduction Acta Math. Univ. Comenianae Vol. LXXXI, 1 (2012), pp. 71 77 71 CURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC E. BALLICO Abstract. Here we study (in positive characteristic) integral curves

More information

Core Maths C1. Revision Notes

Core Maths C1. Revision Notes Core Maths C Revision Notes November 0 Core Maths C Algebra... Indices... Rules of indices... Surds... 4 Simplifying surds... 4 Rationalising the denominator... 4 Quadratic functions... 4 Completing the

More information

THE UNIVERSITY OF CHICAGO CLIFFORD ALGEBRAS AND SHIMURA S LIFT FOR THETA-SERIES A DISSERTATION SUBMITTED TO

THE UNIVERSITY OF CHICAGO CLIFFORD ALGEBRAS AND SHIMURA S LIFT FOR THETA-SERIES A DISSERTATION SUBMITTED TO THE UNIVERSITY OF CHICAGO CLIFFORD ALGEBRAS AND SHIMURA S LIFT FOR THETA-SERIES A DISSERTATION SUBMITTED TO THE FACULTY OF THE DIVISION OF THE PHYSICAL SCIENCES IN CANDIDACY FOR THE DEGREE OF DOCTOR OF

More information

Au = = = 3u. Aw = = = 2w. so the action of A on u and w is very easy to picture: it simply amounts to a stretching by 3 and 2, respectively.

Au = = = 3u. Aw = = = 2w. so the action of A on u and w is very easy to picture: it simply amounts to a stretching by 3 and 2, respectively. Chapter 7 Eigenvalues and Eigenvectors In this last chapter of our exploration of Linear Algebra we will revisit eigenvalues and eigenvectors of matrices, concepts that were already introduced in Geometry

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

Rotation Matrices and Homogeneous Transformations

Rotation Matrices and Homogeneous Transformations Rotation Matrices and Homogeneous Transformations A coordinate frame in an n-dimensional space is defined by n mutually orthogonal unit vectors. In particular, for a two-dimensional (2D) space, i.e., n

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

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

Lecture L3 - Vectors, Matrices and Coordinate Transformations

Lecture L3 - Vectors, Matrices and Coordinate Transformations S. Widnall 16.07 Dynamics Fall 2009 Lecture notes based on J. Peraire Version 2.0 Lecture L3 - Vectors, Matrices and Coordinate Transformations By using vectors and defining appropriate operations between

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

FACTORING IN QUADRATIC FIELDS. 1. Introduction. This is called a quadratic field and it has degree 2 over Q. Similarly, set

FACTORING IN QUADRATIC FIELDS. 1. Introduction. This is called a quadratic field and it has degree 2 over Q. Similarly, set FACTORING IN QUADRATIC FIELDS KEITH CONRAD For a squarefree integer d other than 1, let 1. Introduction K = Q[ d] = {x + y d : x, y Q}. This is called a quadratic field and it has degree 2 over Q. Similarly,

More information

On duality of modular G-Riesz bases and G-Riesz bases in Hilbert C*-modules

On duality of modular G-Riesz bases and G-Riesz bases in Hilbert C*-modules Journal of Linear and Topological Algebra Vol. 04, No. 02, 2015, 53-63 On duality of modular G-Riesz bases and G-Riesz bases in Hilbert C*-modules M. Rashidi-Kouchi Young Researchers and Elite Club Kahnooj

More information

COLLEGE ALGEBRA. Paul Dawkins

COLLEGE ALGEBRA. Paul Dawkins COLLEGE ALGEBRA Paul Dawkins Table of Contents Preface... iii Outline... iv Preliminaries... Introduction... Integer Exponents... Rational Exponents... 9 Real Exponents...5 Radicals...6 Polynomials...5

More information

Powers of Two in Generalized Fibonacci Sequences

Powers of Two in Generalized Fibonacci Sequences Revista Colombiana de Matemáticas Volumen 462012)1, páginas 67-79 Powers of Two in Generalized Fibonacci Sequences Potencias de dos en sucesiones generalizadas de Fibonacci Jhon J. Bravo 1,a,B, Florian

More information

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12 CONTINUED FRACTIONS AND PELL S EQUATION SEUNG HYUN YANG Abstract. In this REU paper, I will use some important characteristics of continued fractions to give the complete set of solutions to Pell s equation.

More information

Bounds on the spectral radius of a Hadamard product of nonnegative or positive semidefinite matrices

Bounds on the spectral radius of a Hadamard product of nonnegative or positive semidefinite matrices Electronic Journal of Linear Algebra Volume 20 Volume 20 (2010) Article 6 2010 Bounds on the spectral radius of a Hadamard product of nonnegative or positive semidefinite matrices Roger A. Horn rhorn@math.utah.edu

More information

SOME EXAMPLES OF INTEGRAL DEFINITE QUATERNARY QUADRATIC FORMS WITH PRIME DISCRIMINANT KI-ICHIRO HASHIMOTO

SOME EXAMPLES OF INTEGRAL DEFINITE QUATERNARY QUADRATIC FORMS WITH PRIME DISCRIMINANT KI-ICHIRO HASHIMOTO K. Hashimoto Nagoya Math. J. Vol. 77 (1980), 167-175 SOME EXAMPLES OF INTEGRAL DEFINITE QUATERNARY QUADRATIC FORMS WITH PRIME DISCRIMINANT KI-ICHIRO HASHIMOTO Introduction In the theory of integral quadratic

More information

s-convexity, model sets and their relation

s-convexity, model sets and their relation s-convexity, model sets and their relation Zuzana Masáková Jiří Patera Edita Pelantová CRM-2639 November 1999 Department of Mathematics, Faculty of Nuclear Science and Physical Engineering, Czech Technical

More information

Geometrical Characterization of RN-operators between Locally Convex Vector Spaces

Geometrical Characterization of RN-operators between Locally Convex Vector Spaces Geometrical Characterization of RN-operators between Locally Convex Vector Spaces OLEG REINOV St. Petersburg State University Dept. of Mathematics and Mechanics Universitetskii pr. 28, 198504 St, Petersburg

More information