Yang-Baxter Equations, Informatics and Unifying Theories
|
|
|
- Constance Potter
- 10 years ago
- Views:
Transcription
1 Yang-Baxter Equations, Informatics and Unifying Theories Radu Iordanescu, Florin F. Nichita and Ion M. Nichita April 11, 2015 Abstract The quantum mechanics had an important influence on building computers; nowadays, the quantum mechanics principles are used for the processing and transmission of information. The Yang-Baxter equation is related to the universal gates from quantum computing and it realizes a unification of certain non-associative structures. Unifying structures could be seen as structures which comprise the information contained in other (algebraic) structures. Recently, we gave the axioms of a structure which unifies associative algebras, Lie algebras and Jordan algebras. Our presentation is a review and a continuation of that approach. Keywords: universal gate, quantum computer, Yang-Baxter equation, Jordan algebras, Lie algebras, associative algebras 1 Introduction The importance of computers in our days is that big that we could call our times the computers era. The quantum mechanics had an impor- The first two authors are researchers at the Simion Stoilow Institute of Mathematics of the Romanian Academy, 21 Calea Grivitei Street, Bucharest, Romania, while the third author is a computer scientist. tant influence on building computers; for example, it led to the production of transistors. At present, the quantum mechanics laws are used for the processing and transmission of information. The first quantum computer (which uses principles of quantum mechanics) was sold to the aerospace and security of defense company Lockheed Martin. The manufacturing company, D-Wave, founded in 1999 and called a company of quantum computing promised to perform professional services for the computer maintenance as well. The quantum computer can address issues related to number theory and optimization, which require large computational power. An example is the Shor s algorithm, a quantum algorithm that determines quickly and effectively the prime factors of a big number. With enough qubii, such a computer could use the Shor s algorithm to break algorithms encryption used today. Non-associative algebras are currently a research direction in fashion (see [1], and the references therein). There are two important classes of non-associative structures: Lie structures and Jordan structures (see [2]). Various Jordan structures play an important role in quantum group theory and in fundamental physical theories (see [3]). Associative algebras and Lie algebras can be unified at the level of Yang-Baxter structures. A new unification for associative al- ISBN:
2 gebras, Jordan algebras and Lie algebras was obtained recently (see [4]), and we present further results in this paper. Several papers published in the open access journal AXIOMS deal with the Yang-Baxter equation (see [5] and the references therein). The Yang-Baxter equation can be interpreted in terms of combinatorial logical circuits, and, in logic, it represents some kind of compatibility condition, when working with many logical sentences in the same time. This equation is also related to the theory of universal quantum gates and to the quantum computers (see, for example, [6]). It has many applications in quantum groups and knot theory. The organization of our paper is the following. In the next section we give the preliminaries and some interpretations of the Yang- Baxter equation in geometry. Section 3 deals with algorithms and interpretations of this equation in computer science. In Section 4, we discuss about the applications of the Yang-Baxter equation in quantum groups and knot theory (with few remarks about universal gates). Sections 5 and 6 are about unification theories for non-associative algebras, and their connections with the previous sections. Sections 7 and 8 are about transcendental numbers and some of their applications. A conclusions section ends our paper. 2 The Yang-Baxter Equations All tensor products will be defined over the field k, and for V a k-space, we denote by τ : V V V V the twist map defined by τ(v w) = w v, and by I : V V the identity map of the space V. For R : V V V V a k-linear map, let R 12 = R I, R 23 = I R, R 13 = (I τ)(r I)(I τ). Definition 2.1 A Yang-Baxter operator is k- linear map R : V V V V, which is invertible, and it satisfies the braid condition (the Yang-Baxter equation): R 12 R 23 R 12 = R 23 R 12 R 23. (1) An important observation is that if R satisfies (1) then both R τ and τ R satisfy the QYBE: R 12 R 13 R 23 = R 23 R 13 R 12. (2) Thus, the equations (1) and (2) are equivalent. There is a similar terminology for the settheoretical Yang-Baxter equation, for which V is replaced by a set and the tensor product by the Cartesian product (see for example [7, 8]). Let us now consider the interpretations of the Yang-Baxter equation in geometry. Z O Y P (a, b, c) X The symmetries of the point P (a, b, c) about the axes OX, OY, OZ are defined as follows: S OX (a, b, c) = (a, b, c), S OY (a, b, c) = ( a, b, c), S OZ (a, b, c) = ( a, b, c). They form a group isomorphic with Klein s group: {I, S OX, S OY, S OZ }. The symmetries of the point P (a, b, c) about the planes XOY, XOZ, Y OZ are defined as follows: ISBN:
3 S XOY (a, b, c) = (a, b, c), S XOZ (a, b, c) = (a, b, c), S Y OZ (a, b, c) = ( a, b, c). One could check the following instances of the Yang-Baxter equation. S XOY S XOZ S Y OZ = S Y OZ S XOZ S XOY (3) S OX S OY S OZ = S OZ S OY S OX (4) Remark 2.2 Let us observe that S OX S OY S OZ = Id k 3, and we can generalize the symmetries about the axes as follows: S OX (a, b, c) = (a, pb, qc), (a, b, c) = ( pa, b, qc), S OY S OZ (a, b, c) = ( pa, qb, c), for p, q k, such that S OX S OY S OZ = S OZ S OY S OX. This is a generalization for the formula (3) as well. It can be proved that the only rotation operators R which satisfy (2) are the identity and the operator related to S OX, S OY and S OZ. 3 The Yang-Baxter Equations in Informatics The Yang-Baxter equation can be interpreted in terms of combinatorial logical circuits (see [9]). It is also related to the theory of universal quantum gates and to the quantum computers (see [6, 10]). In logic, it represents some kind of compatibility condition, when working with many logical sentences in the same time. Let us consider three logical sentences p, q, r. Let us suppose that if all of them are true, then the conclusion A could be drawn, and if p, q, r are all false then the conclusion C can be drawn; in other cases, we say that the conclusion B is true. Modeling this situation by the map R, defined by (p, q) (p = p q, q = p q), helps to comprise our analysis: we can apply R to the pair (p, q), then to (q, r), and, finally to (p, q ). The Yang-Baxter equation explains that the order in which we start this analysis is not important; more explicitly, in this case, it states that ( (p ), q, r ) = ( p, q, (r ) ). Another interpretation of the Yang-Baxter equation is related to the algorithms which order sequences of numbers (see, for example, a recent paper on sorting: [11]). For example, the core of the following algorithm is related to the left hand side of (2). include iostream int L,n,j,aux,i, sir[20],a,b; int main() { std::cout You may choose how many numbers will be compared ; std::cin L; int sir[l]; int sir2[l]; for (n=1;n L;n++) { std::cout Please, give the numbers A[ n ]= ; std::cin sir[n]; std::cout endl; } std::cout We are now ordering the given numbers! ; std::cout std::endl; for (i=1;i L-1;i++) for (j=i+1;j L;j++) ISBN:
4 if (sir[i] sir[j]) { aux=sir[i]; sir[i]=sir[j]; sir[j]=aux; } for (n=1;n L;n++) std::cout sir[n]; std::cout std::endl; system( PAUSE ); return EXIT SUCCESS; } The following Bubble sort algorithm is related to the right hand side of (1). int m, aux; m=l; while (m) { for (int i=1; i L-1; i++) if (a[l-i] a[l+1-i]) { aux = a[l+1-i]; a[l+1-i] = a[l-i]; a[l-i] = aux; } m - -; } Ordering three numbers is related to the following common solution of the equations (1) and (2): R(a, b) = (min(a, b), max(a, b)) Since R can be extended to a braiding in a certain monoidal category, we obtain an interpretation for the case when we order more numbers. The divide et impera algorithm for finding the maximum of sequence of numbers could be related to Yang-Baxter systems and to the gluing procedure from [12]. 4 The Yang-Baxter Equation in Quantum Groups and Knot Theory For A be a (unitary) associative k-algebra, and α, β, γ k, the authors of [13] defined the k- linear map R A α,β,γ : A A A A, a b αab 1 + β1 ab γa b (5) which is a Yang-Baxter operator if and only if one of the following cases holds: (i) α = γ 0, β 0; (ii) β = γ 0, α 0; (iii) α = β = 0, γ 0. The link invariant associated to (5) is the Alexander polynomial of knots (cf. [14, 15]). For (L, [, ]) a Lie super-algebra over k, z Z(L) = {z L : [z, x] = 0 x L}, z = 0 and α k, the authors of the papers [16] and [17] defined the following Yang-Baxter operator: φ L α : L L L L, x y α[x, y] z + ( 1) x y y x. (6) Remark 4.1 In dimension two, Rα,β,α A τ, can be expressed as: q q 0 η 0 0 q (7) where η {0, 1}, and q k {0}. For η = 0 and q = 1, R A α,β,α becomes: (8) which is a universal gate (according to [10]), and it is related to the CNOT gate: ISBN:
5 CNOT = (9) Remark 4.2 The matrix (8) can be interpreted as a sum of Yang-Baxter operators, using the techniques of [12]. Then: (V, θ) is a Jordan algebra (V, θ) is a non-unital commutative (associative) algebra. The next remark finds a relationship between Jordan algebras, Lie algebras and associative algebras. In this case, we have an extrinsic result about non-associative structures. Remark 4.3 Using Theorem 3.1 (i) and Remark 3.3 from [18], we can construct a bialgebra structure associated to the operator R A α,β,γ (a b) = αab 1 + β1 ab γa b, if one of the following cases holds: (i) α = γ 0, β 0; (ii) β = γ 0, α 0; (iii) α = β = 0, γ 0. For γ = 1 and α = β = 0, this is the tensor algebra T (A) associated to the underlying vector space of the algebra A. 5 Nonassociative Algebras Jordan algebras emerged in the early thirties, and their applications are in physics, differential geometry, ring geometries, quantum groups, analysis, biology, etc (see [3, 19, 20]). One of our main results is the following theorem, which explains when the Jordan identity implies associativity. It is an intrinsic result. Theorem 5.1 Let V be a vector space spanned by a and b, which are linearly independent. Let θ : V V V, θ(x y) = xy, be a linear map which is a commutative operation with the property a 2 = b, b 2 = a. (10) Remark 5.2 For the vector space V, let η : V V V, η(x y) = xy, be a linear map such that for any a, b, c V we have: (ab)c + (bc)a + (ca)b = a(bc) + b(ca) + c(ab) ; (11) (a 2 b)a = a 2 (ba). (12) Then, (V, η) is a structure which unifies (nonunital) associative algebras, Lie algebras and Jordan algebras. Indeed, the associativity and the Lie identity are unified by relation (11). Also, the commutativity of a Jordan algebra implies (11). But, the Jordan identity, (12), which appears in the definition of Jordan algebras, is verified in any associative algebra and Lie algebra. 6 Unification of Nonassociative Structures The formulas (5) and (6) lead to the unification of associative algebras and Lie (super)algebras in the framework of Yang-Baxter structures (see [2, 21]). On the other hand, for the invertible elements in a Jordan algebra, one can associate a ISBN:
6 symmetric space (see [19], page 58), and, therefore, a Yang-Baxter operator. Thus, the Yang- Baxter equation can be thought as a unifying equation. The first isomorfism theorem for groups (algebras) and the first isomorfism theorem for Lie algebras, can be unified as an isomorphism theorem for Yang-Baxter structures (see [25]). Definition 6.1 For the vector space V, let η : V V V, η(a b) = ab, be a linear map which satisfies: (ab)c+(bc)a+(ca)b = a(bc)+b(ca)+c(ab), (13) Remark 6.5 If (A, θ), where θ : A A A, θ(a b) = ab, is a (non-unital) associative algebra, then we define (A, θ ), where θ (a b) = αab + βba. If α = 1 2 and β = 1 2, then (A, θ ) is a Jordan algebra. If α = 1 and β = 1, then (A, θ ) is a Lie algebra. If α = 0 and β = 1, then (A, θ ) is the opposite algebra of (A, θ). Obviously, if α = 1 and β = 0, then (A, θ ) is the algebra (A, θ). If we put no restrictions on α and β, then (V, θ) is a UJLA structure. (a 2 b)a = a 2 (ba), (14) a, b, c V. Then, (V, η) is called a UJLA structure. Remark 6.2 The UJLA structures unify Jordan algebras, Lie algebras and (non-unital) associative algebras; results for UJLA structures could be decoded in properties of Jordan algebras, Lie algebras or (non-unital) associative algebras. Remark 6.3 An anti-commutative UJLA structure is a Lie algebra. Obviously, a commutative UJLA structure is a Jordan algebra. Remark 6.4 Let W be a vector space spanned by a and b, which are linearly independent. Let θ : W W W, θ(x y) = xy, be a linear map with the property: a 2 = b, b 2 = a. If θ satisfies also the relations (13) and (14), then (W, θ) is a (non-unital) associative algebra. 7 Transcendental Numbers The following identities which contain the transcendental numbers e and π are well-known: + + e iπ + 1 = 0, (15) e x2 dx = π, (16) e ix2 dx = π (1 i). (17) 2 Other inequalities for e and π are quite new: e 1 z + e z > π z C, (18) b a e x2 dx < ee π ( 1 e πa 1 e πb ). Numerical / experimental results are very important in studying these new results. The use ISBN:
7 of TI graphing calculators could be the first step in this approach. There exist real solutions for the equations x 2 πx+(1+ 1 r )r = 0, r Q, for r sufficiently small, but there are no real solutions for the limit equation x 2 πx + e = 0, because = π 2 4e < 0. The question if = π 2 4e is a transcendental number is an open problem! (Numerical / experimental results could give a partial answer for this problem.) Resembling the problem of squaring the circle, the geometrical interpretation of the formula π 2 < 4e could be stated as: The length of the circle with diameter π is almost equal (and less) to the perimeter of a square with edges of length e. In this case, the area of the above circle is greater than the area of the above square, because π 3 > 4e 2. OPEN PROBLEMS. For an arbitrary closed curve, we consider the smallest diameter (d) and the maximum diameter (D). (These can be found by considering the center of mass of a body which corresponds to the domain inside the given curve.) (i) If L is the length of the given curve and the domain inside the given curve is a convex set, then we conjecture that: L D π L d. (ii) Moreover, the first inequality becomes equality if and only if the second inequality becomes equality if and only if the given curve is a circle. (iii) If the area of the domain inside the given curve is A, then d D > A. (iv) The equation x 2 L 2 x + A = 0 and its implications are not completely understood. For example, if the given curve is an ellipse, solving this equation in terms of the semi-axes of the ellipse is an unsolved problem. Remark 7.1 Graphics for arbitrary closed convex curves related to the above open-problems could be represented using graphing calculators and computers. Thus, some numerical (experimental) results can be obtained. This direction seems to be a challenging one for computer scientists. Remark 7.2 One could consider the equation x i = i x x R +, which is equivalent to e π 2 = x 1 x x R +, and it has no real solution, because π 2 > 1 e. At this moment we do not have convincing numerical / experimental results for the following generalization of the above equation. z i = i z z C This is work in progress. (We tried to solve it with MathLab.) OPEN PROBLEM. Prove the inequality: n 1 1 < 2 k 2 3 ( n+1 n )n n N. 8 Transcendental Numbers in Mathematical Physics The Yang-Baxter equation first appeared in theoretical physics, in a paper by the Nobel laureate C.N. Yang, and in statistical mechanics, in ISBN:
8 R.J. Baxter s work. It has applications in many areas of physics, informatics and mathematics. Many scientists have used computer calculations or the axioms of various algebraic structures in order to solve this equation, but the full classification of its solutions remains an open problem (see [22, 23, 24, 25]). Below, we describe its connection with transcendental numbers. Let V be a complex vector space, and I j : V j V j j {1, 2} identity maps. We consider J : V 2 V 2 a linear map which satisfies J J = I 2 and J 12 J 23 = J 23 J 12, where J 12 = J I 1, J 23 = I 1 J. R(x) = cos xi 2 + sin xj satisfies the colored Yang-Baxter equation: R 12 (x) R 23 (x + y) R 12 (y) = = R 23 (y) R 12 (x + y) R 23 (x). (19) The proof of (19) could be done by writing R(x) = e x J, and checking that (19) reduces to x J 12 + (x + y) J 23 + yj 12 = y J 23 + (x + y) J 12 + xj 23. Such an operator J could have, in dimension two, the following matrix form (for α R): α i 0 0 i 0 0 i 0 0 (20) αi Based on results from the previous section, a counterpart for the formula e π J + I 4 = 0 4 could be the following inequality: J, I 4, 0 4 M 4 (C) X 2 + ei 2 > πx, (21) X M 2 (R +), trace(x) > π. 9 Conclusions Many ideas of the current paper emerged after the International Conference Mathematics Days in Sofia, July 7-10, 2014, Sofia, Bulgaria. Dr. Violeta Ivanova ([26]) was interested in the applications of these problems in informatics. The Yang-Baxter equation can be interpreted in terms of combinatorial logical circuits, and, in logic, it represents some kind of compatibility condition, when working with many logical sentences in the same time. This equation is also related to the theory of universal quantum gates and to the quantum computers (see, for example, [6]). The first quantum computer (which uses principles of quantum mechanics) was sold to the aerospace and security of defense company Lockheed Martin. It can address issues related to number theory and optimization, which require large computational power. An example is the Shor s algorithm, a quantum algorithm that determines quickly and effectively the prime factors of a large number. With enough qubii, such a computer could use the Shor s algorithm to break algorithms encryption used today. An explanation of the fact that the study of Jordan structures and their applications is at present a wide-ranging field of mathematical research could be the following: at the beginning, mathematics was associative and commutative, then (after the invention of matrices) it became associative and non-commutative, and now (after the invention of non-associative structures) it becomes non-associative and non-commutative (see [20]). Our talk will follow results from [28, 29]. Then, it will present other applications in informatics and system theory, and implications in art. Also, we will refer to the work of math- ISBN:
9 ematicians from Barcelona (see [8]), and other scientists from Spain (see [30]), France (see [31]), Hungary, Romania (see, for example, [32, 33]), etc. Acknowledgment The authors would like to thank the Simion Stoilow Institute of Mathematics of the Romanian Academy. References [1] Wills-Toro, L. A. Classification of some graded not necessarily associative division algebras I. Communications in Algebra 2014, 42: [2] Iordanescu, R. The associativity in present mathematics and present physics. Presentation, Bucharest, [3] Iordanescu, R. Jordan structures in mathematics and physics. Mathematics 2011, [4] Iordanescu, R.; Nichita, F.F.; Nichita, I.M. Non-associative algebras, Yang-Baxter equations and quantum computers. Bulgarian Journal of Physics 2014, vol.41 n.2, [5] Nichita, F.F. On Transcendental Numbers. Axioms 2014, 3, [6] Alagic, G.; Bapat, A.; Jordan, S. Classical simulation of Yang- Baxter gates. Mathematics [7] T. Gateva-Ivanova (2014) Quadratic algebras, Yang-Baxter equation,and Artin- Schelter regularity, presentation - Sofia. [8] David Bachiller, Ferran Cedo, Eric Jespers Solutions of the Yang-Baxter equation associated with a left brace, arxiv: [9] Nichita, F.F.; Nichita, I.M. Some Problems On Combinational Logical Circuits. Acta Universitatis Apulensis 2002, 4, [10] Kauffman, L.H.; Lomonaco, S.J. Braiding Operators are Universal Quantum Gates. New Journal of Physics 2004, Volume 6, 134. [11] Adjeroh, D.; Nan, F. Suffix-Sorting via Shannon-Fano-Elias Codes. Algorithms 2010, 3, [12] T. Brzezinski, T.; Nichita, F.F. Yang- Baxter systems and entwined structures, Communications in Algebra 2005, vol. 33(4), [13] S. Dăscălescu, F. F. Nichita, Yang-Baxter operators arising from (co)algebra structures. Comm. Algebra 1999, 27, [14] Turaev, V., The Yang-Baxter equation and invariants of links, Invent. Math [15] Massuyeau, G.; Nichita, F.F. Yang-Baxter operators arising from algebra structures and the Alexander polynomial of knots, Comm. Algebra 2005, 33 (7) [16] Majid S. Solutions of the Yang-Baxter equation from braided-lie algebras and braided groups. J. Knot Theory and Its Ramifications 1995, 4, [17] Nichita, F.F.; Popovici, B.P. Yang-Baxter operators from (G, θ)-lie algebras. Romanian Reports in Physics 2011, 63(3), ISBN:
10 [18] Nichita, F.F. Yang-Baxter systems, algebra factorizations and braided categories. Axioms 2013, 2(3), [19] Iordanescu, R. Jordan structures in geometry and physics with an Appendix on Jordan structures in analysis, Romanian Academy Press, [20] Iordanescu, R. Romanian contributions to the study of Jordan structures and their applications, Mitteilungen des Humboldt- Clubs Rumanien , No. 8-9, Bukarest, [21] Nichita, F.F. Lie algebras and Yang-Baxter equations. Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics 2012, 5(54), [22] Nichita, F.F. (Editor), Special Issue Hopf Algebras, Quantum Groups and Yang-Baxter Equations 2014, Axioms Open Access Journal, special issues/hopf algebras [23] B. Abdesselam, A. Chakrabarti, V. K. Dobrev, S. G. Mihov, Exotic bialgebras from 9 9 unitary braid matrices, Physics of Atomic Nuclei 74, 2011, [24] Wang, G., Xue, K., Sun, C., Du, G. Yang- Baxter R matrix, Entanglement and Yangian, arxiv: the aim of improving the accuracy, presentation - Sofia. [27] Nichita, F.F. Introduction to the Yang- Baxter Equation with Open Problems. Axioms 2012, 1(1), [28] Iordanescu, R.; Nichita, F.F.; Nichita, I.M. The Yang-Baxter Equation, (Quantum) Computers and Unifying Theories. Axioms 2014, 3, [29] Solomon Marcus, Florin F. Nichita, On transcendental numbers: new results and a little history, arxiv: [30] Samuel G. Moreno, A One-Sentence and Truly Elementary Proof of the Basel Problem, arxiv: [math.ho]. [31] Filippo Bonchi and Fabio Zanasi, Bialgebraic Semantics for Logic Programming, Indexed Feb 21, [32] Nicolescu, B. Manifesto of Transdisciplinarity, State University of New York (SUNY) Press, New York, 2002, translation in English by Karen-Claire Voss. [33] Florin F. Nichita, On Models for Transdisciplinarity, Transdisciplinary Journal of Engineering and Science, Vol. 2011, [25] Nichita, F.F. Non-linear Equations, Quantum Groups and Duality Theorems, VDM Verlag, [26] V. N. Ivanova (2014) Approaches to the parallelization of data mining algorithms with ISBN:
Non-Associative Algebras, Yang-Baxter equations, and Quantum Computers
Bulg. J. Phys. 41 (2014) 71 76 Non-Associative Algebras, Yang-Baxter equations, and Quantum Computers R. Iordanescu 1, F.F. Nichita 1, I.M. Nichita 2 1 Institute of Mathematics Simion Stoilow of the Romanian
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
= 2 + 1 2 2 = 3 4, Now assume that P (k) is true for some fixed k 2. This means that
Instructions. Answer each of the questions on your own paper, and be sure to show your work so that partial credit can be adequately assessed. Credit will not be given for answers (even correct ones) without
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
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,
You know from calculus that functions play a fundamental role in mathematics.
CHPTER 12 Functions You know from calculus that functions play a fundamental role in mathematics. You likely view a function as a kind of formula that describes a relationship between two (or more) quantities.
Math 241, Exam 1 Information.
Math 241, Exam 1 Information. 9/24/12, LC 310, 11:15-12:05. Exam 1 will be based on: Sections 12.1-12.5, 14.1-14.3. The corresponding assigned homework problems (see http://www.math.sc.edu/ boylan/sccourses/241fa12/241.html)
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
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
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
Algebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13 school year.
This document is designed to help North Carolina educators teach the Common Core (Standard Course of Study). NCDPI staff are continually updating and improving these tools to better serve teachers. Algebra
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
Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks
Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks Welcome to Thinkwell s Homeschool Precalculus! We re thrilled that you ve decided to make us part of your homeschool curriculum. This lesson
REVIEW EXERCISES DAVID J LOWRY
REVIEW EXERCISES DAVID J LOWRY Contents 1. Introduction 1 2. Elementary Functions 1 2.1. Factoring and Solving Quadratics 1 2.2. Polynomial Inequalities 3 2.3. Rational Functions 4 2.4. Exponentials and
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
Current Standard: Mathematical Concepts and Applications Shape, Space, and Measurement- Primary
Shape, Space, and Measurement- Primary A student shall apply concepts of shape, space, and measurement to solve problems involving two- and three-dimensional shapes by demonstrating an understanding of:
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
Algebra 1 Course Title
Algebra 1 Course Title Course- wide 1. What patterns and methods are being used? Course- wide 1. Students will be adept at solving and graphing linear and quadratic equations 2. Students will be adept
Numerical Analysis Lecture Notes
Numerical Analysis Lecture Notes Peter J. Olver 5. Inner Products and Norms The norm of a vector is a measure of its size. Besides the familiar Euclidean norm based on the dot product, there are a number
Essential Mathematics for Computer Graphics fast
John Vince Essential Mathematics for Computer Graphics fast Springer Contents 1. MATHEMATICS 1 Is mathematics difficult? 3 Who should read this book? 4 Aims and objectives of this book 4 Assumptions made
MATH. ALGEBRA I HONORS 9 th Grade 12003200 ALGEBRA I HONORS
* Students who scored a Level 3 or above on the Florida Assessment Test Math Florida Standards (FSA-MAFS) are strongly encouraged to make Advanced Placement and/or dual enrollment courses their first choices
Mathematics Review for MS Finance Students
Mathematics Review for MS Finance Students Anthony M. Marino Department of Finance and Business Economics Marshall School of Business Lecture 1: Introductory Material Sets The Real Number System Functions,
Big Ideas in Mathematics
Big Ideas in Mathematics which are important to all mathematics learning. (Adapted from the NCTM Curriculum Focal Points, 2006) The Mathematics Big Ideas are organized using the PA Mathematics Standards
Sequence of Mathematics Courses
Sequence of ematics Courses Where do I begin? Associates Degree and Non-transferable Courses (For math course below pre-algebra, see the Learning Skills section of the catalog) MATH M09 PRE-ALGEBRA 3 UNITS
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
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
PCHS ALGEBRA PLACEMENT TEST
MATHEMATICS Students must pass all math courses with a C or better to advance to the next math level. Only classes passed with a C or better will count towards meeting college entrance requirements. If
Diablo Valley College Catalog 2014-2015
Mathematics MATH Michael Norris, Interim Dean Math and Computer Science Division Math Building, Room 267 Possible career opportunities Mathematicians work in a variety of fields, among them statistics,
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
Curriculum Map by Block Geometry Mapping for Math Block Testing 2007-2008. August 20 to August 24 Review concepts from previous grades.
Curriculum Map by Geometry Mapping for Math Testing 2007-2008 Pre- s 1 August 20 to August 24 Review concepts from previous grades. August 27 to September 28 (Assessment to be completed by September 28)
WHAT ARE MATHEMATICAL PROOFS AND WHY THEY ARE IMPORTANT?
WHAT ARE MATHEMATICAL PROOFS AND WHY THEY ARE IMPORTANT? introduction Many students seem to have trouble with the notion of a mathematical proof. People that come to a course like Math 216, who certainly
26. Determinants I. 1. Prehistory
26. Determinants I 26.1 Prehistory 26.2 Definitions 26.3 Uniqueness and other properties 26.4 Existence Both as a careful review of a more pedestrian viewpoint, and as a transition to a coordinate-independent
LAKE ELSINORE UNIFIED SCHOOL DISTRICT
LAKE ELSINORE UNIFIED SCHOOL DISTRICT Title: PLATO Algebra 1-Semester 2 Grade Level: 10-12 Department: Mathematics Credit: 5 Prerequisite: Letter grade of F and/or N/C in Algebra 1, Semester 2 Course Description:
NOTES ON CATEGORIES AND FUNCTORS
NOTES ON CATEGORIES AND FUNCTORS These notes collect basic definitions and facts about categories and functors that have been mentioned in the Homological Algebra course. For further reading about category
Math 312 Homework 1 Solutions
Math 31 Homework 1 Solutions Last modified: July 15, 01 This homework is due on Thursday, July 1th, 01 at 1:10pm Please turn it in during class, or in my mailbox in the main math office (next to 4W1) Please
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
South Carolina College- and Career-Ready (SCCCR) Pre-Calculus
South Carolina College- and Career-Ready (SCCCR) Pre-Calculus Key Concepts Arithmetic with Polynomials and Rational Expressions PC.AAPR.2 PC.AAPR.3 PC.AAPR.4 PC.AAPR.5 PC.AAPR.6 PC.AAPR.7 Standards Know
15.062 Data Mining: Algorithms and Applications Matrix Math Review
.6 Data Mining: Algorithms and Applications Matrix Math Review The purpose of this document is to give a brief review of selected linear algebra concepts that will be useful for the course and to develop
Unified Lecture # 4 Vectors
Fall 2005 Unified Lecture # 4 Vectors These notes were written by J. Peraire as a review of vectors for Dynamics 16.07. They have been adapted for Unified Engineering by R. Radovitzky. References [1] Feynmann,
SURVEY ON DYNAMICAL YANG-BAXTER MAPS. Y. Shibukawa
SURVEY ON DYNAMICAL YANG-BAXTER MAPS Y. Shibukawa Department of Mathematics, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan e-mail: [email protected] Abstract In this survey,
NEW MEXICO Grade 6 MATHEMATICS STANDARDS
PROCESS STANDARDS To help New Mexico students achieve the Content Standards enumerated below, teachers are encouraged to base instruction on the following Process Standards: Problem Solving Build new mathematical
Understanding Basic Calculus
Understanding Basic Calculus S.K. Chung Dedicated to all the people who have helped me in my life. i Preface This book is a revised and expanded version of the lecture notes for Basic Calculus and other
ISU Department of Mathematics. Graduate Examination Policies and Procedures
ISU Department of Mathematics Graduate Examination Policies and Procedures There are four primary criteria to be used in evaluating competence on written or oral exams. 1. Knowledge Has the student demonstrated
3. INNER PRODUCT SPACES
. INNER PRODUCT SPACES.. Definition So far we have studied abstract vector spaces. These are a generalisation of the geometric spaces R and R. But these have more structure than just that of a vector space.
Precalculus REVERSE CORRELATION. Content Expectations for. Precalculus. Michigan CONTENT EXPECTATIONS FOR PRECALCULUS CHAPTER/LESSON TITLES
Content Expectations for Precalculus Michigan Precalculus 2011 REVERSE CORRELATION CHAPTER/LESSON TITLES Chapter 0 Preparing for Precalculus 0-1 Sets There are no state-mandated Precalculus 0-2 Operations
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
FUZZY CLUSTERING ANALYSIS OF DATA MINING: APPLICATION TO AN ACCIDENT MINING SYSTEM
International Journal of Innovative Computing, Information and Control ICIC International c 0 ISSN 34-48 Volume 8, Number 8, August 0 pp. 4 FUZZY CLUSTERING ANALYSIS OF DATA MINING: APPLICATION TO AN ACCIDENT
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 [email protected] Daniel Chan (UNSW) MATH1231 Algebra 1 / 43 Chapter
4.5 Linear Dependence and Linear Independence
4.5 Linear Dependence and Linear Independence 267 32. {v 1, v 2 }, where v 1, v 2 are collinear vectors in R 3. 33. Prove that if S and S are subsets of a vector space V such that S is a subset of S, then
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
6 EXTENDING ALGEBRA. 6.0 Introduction. 6.1 The cubic equation. Objectives
6 EXTENDING ALGEBRA Chapter 6 Extending Algebra Objectives After studying this chapter you should understand techniques whereby equations of cubic degree and higher can be solved; be able to factorise
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
Problem Set 5 Due: In class Thursday, Oct. 18 Late papers will be accepted until 1:00 PM Friday.
Math 312, Fall 2012 Jerry L. Kazdan Problem Set 5 Due: In class Thursday, Oct. 18 Late papers will be accepted until 1:00 PM Friday. In addition to the problems below, you should also know how to solve
On using numerical algebraic geometry to find Lyapunov functions of polynomial dynamical systems
Dynamics at the Horsetooth Volume 2, 2010. On using numerical algebraic geometry to find Lyapunov functions of polynomial dynamical systems Eric Hanson Department of Mathematics Colorado State University
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
INTRODUCTORY SET THEORY
M.Sc. program in mathematics INTRODUCTORY SET THEORY Katalin Károlyi Department of Applied Analysis, Eötvös Loránd University H-1088 Budapest, Múzeum krt. 6-8. CONTENTS 1. SETS Set, equal sets, subset,
ISOMETRIES OF R n KEITH CONRAD
ISOMETRIES OF R n KEITH CONRAD 1. Introduction An isometry of R n is a function h: R n R n that preserves the distance between vectors: h(v) h(w) = v w for all v and w in R n, where (x 1,..., x n ) = x
Mathematics (MAT) MAT 061 Basic Euclidean Geometry 3 Hours. MAT 051 Pre-Algebra 4 Hours
MAT 051 Pre-Algebra Mathematics (MAT) MAT 051 is designed as a review of the basic operations of arithmetic and an introduction to algebra. The student must earn a grade of C or in order to enroll in MAT
DELAWARE MATHEMATICS CONTENT STANDARDS GRADES 9-10. PAGE(S) WHERE TAUGHT (If submission is not a book, cite appropriate location(s))
Prentice Hall University of Chicago School Mathematics Project: Advanced Algebra 2002 Delaware Mathematics Content Standards (Grades 9-10) STANDARD #1 Students will develop their ability to SOLVE PROBLEMS
Eigenvalues and Eigenvectors
Chapter 6 Eigenvalues and Eigenvectors 6. Introduction to Eigenvalues Linear equations Ax D b come from steady state problems. Eigenvalues have their greatest importance in dynamic problems. The solution
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
Pre-Algebra 2008. Academic Content Standards Grade Eight Ohio. Number, Number Sense and Operations Standard. Number and Number Systems
Academic Content Standards Grade Eight Ohio Pre-Algebra 2008 STANDARDS Number, Number Sense and Operations Standard Number and Number Systems 1. Use scientific notation to express large numbers and small
A Correlation of Pearson Texas Geometry Digital, 2015
A Correlation of Pearson Texas Geometry Digital, 2015 To the Texas Essential Knowledge and Skills (TEKS) for Geometry, High School, and the Texas English Language Proficiency Standards (ELPS) Correlations
Indiana State Core Curriculum Standards updated 2009 Algebra I
Indiana State Core Curriculum Standards updated 2009 Algebra I Strand Description Boardworks High School Algebra presentations Operations With Real Numbers Linear Equations and A1.1 Students simplify and
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.,
Prentice Hall Algebra 2 2011 Correlated to: Colorado P-12 Academic Standards for High School Mathematics, Adopted 12/2009
Content Area: Mathematics Grade Level Expectations: High School Standard: Number Sense, Properties, and Operations Understand the structure and properties of our number system. At their most basic level
ON UNIQUE FACTORIZATION DOMAINS
ON UNIQUE FACTORIZATION DOMAINS JIM COYKENDALL AND WILLIAM W. SMITH Abstract. In this paper we attempt to generalize the notion of unique factorization domain in the spirit of half-factorial domain. It
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
Notes on the representational possibilities of projective quadrics in four dimensions
bacso 2006/6/22 18:13 page 167 #1 4/1 (2006), 167 177 [email protected] http://tmcs.math.klte.hu Notes on the representational possibilities of projective quadrics in four dimensions Sándor Bácsó and
04 Mathematics CO-SG-FLD004-03. Program for Licensing Assessments for Colorado Educators
04 Mathematics CO-SG-FLD004-03 Program for Licensing Assessments for Colorado Educators Readers should be advised that this study guide, including many of the excerpts used herein, is protected by federal
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
PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5.
PUTNAM TRAINING POLYNOMIALS (Last updated: November 17, 2015) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include
Georgia Department of Education Kathy Cox, State Superintendent of Schools 7/19/2005 All Rights Reserved 1
Accelerated Mathematics 3 This is a course in precalculus and statistics, designed to prepare students to take AB or BC Advanced Placement Calculus. It includes rational, circular trigonometric, and inverse
Applied Linear Algebra I Review page 1
Applied Linear Algebra Review 1 I. Determinants A. Definition of a determinant 1. Using sum a. Permutations i. Sign of a permutation ii. Cycle 2. Uniqueness of the determinant function in terms of properties
Common Core Unit Summary Grades 6 to 8
Common Core Unit Summary Grades 6 to 8 Grade 8: Unit 1: Congruence and Similarity- 8G1-8G5 rotations reflections and translations,( RRT=congruence) understand congruence of 2 d figures after RRT Dilations
Factoring Patterns in the Gaussian Plane
Factoring Patterns in the Gaussian Plane Steve Phelps Introduction This paper describes discoveries made at the Park City Mathematics Institute, 00, as well as some proofs. Before the summer I understood
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
CORRELATED TO THE SOUTH CAROLINA COLLEGE AND CAREER-READY FOUNDATIONS IN ALGEBRA
We Can Early Learning Curriculum PreK Grades 8 12 INSIDE ALGEBRA, GRADES 8 12 CORRELATED TO THE SOUTH CAROLINA COLLEGE AND CAREER-READY FOUNDATIONS IN ALGEBRA April 2016 www.voyagersopris.com Mathematical
Quantum Computing. Robert Sizemore
Quantum Computing Robert Sizemore Outline Introduction: What is quantum computing? What use is quantum computing? Overview of Quantum Systems Dirac notation & wave functions Two level systems Classical
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.
18.06 Problem Set 4 Solution Due Wednesday, 11 March 2009 at 4 pm in 2-106. Total: 175 points.
806 Problem Set 4 Solution Due Wednesday, March 2009 at 4 pm in 2-06 Total: 75 points Problem : A is an m n matrix of rank r Suppose there are right-hand-sides b for which A x = b has no solution (a) What
Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm.
Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm. We begin by defining the ring of polynomials with coefficients in a ring R. After some preliminary results, we specialize
Overview. Essential Questions. Precalculus, Quarter 4, Unit 4.5 Build Arithmetic and Geometric Sequences and Series
Sequences and Series Overview Number of instruction days: 4 6 (1 day = 53 minutes) Content to Be Learned Write arithmetic and geometric sequences both recursively and with an explicit formula, use them
How To Understand And Solve Algebraic Equations
College Algebra Course Text Barnett, Raymond A., Michael R. Ziegler, and Karl E. Byleen. College Algebra, 8th edition, McGraw-Hill, 2008, ISBN: 978-0-07-286738-1 Course Description This course provides
COURSE SYLLABUS Pre-Calculus A/B Last Modified: April 2015
COURSE SYLLABUS Pre-Calculus A/B Last Modified: April 2015 Course Description: In this year-long Pre-Calculus course, students will cover topics over a two semester period (as designated by A and B sections).
Algebra 1 2008. Academic Content Standards Grade Eight and Grade Nine Ohio. Grade Eight. Number, Number Sense and Operations Standard
Academic Content Standards Grade Eight and Grade Nine Ohio Algebra 1 2008 Grade Eight STANDARDS Number, Number Sense and Operations Standard Number and Number Systems 1. Use scientific notation to express
1 Symmetries of regular polyhedra
1230, notes 5 1 Symmetries of regular polyhedra Symmetry groups Recall: Group axioms: Suppose that (G, ) is a group and a, b, c are elements of G. Then (i) a b G (ii) (a b) c = a (b c) (iii) There is an
NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS
NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS TEST DESIGN AND FRAMEWORK September 2014 Authorized for Distribution by the New York State Education Department This test design and framework document
MATHEMATICS (MATH) 3. Provides experiences that enable graduates to find employment in sciencerelated
194 / Department of Natural Sciences and Mathematics MATHEMATICS (MATH) The Mathematics Program: 1. Provides challenging experiences in Mathematics, Physics, and Physical Science, which prepare graduates
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
Irreducibility criteria for compositions and multiplicative convolutions of polynomials with integer coefficients
DOI: 10.2478/auom-2014-0007 An. Şt. Univ. Ovidius Constanţa Vol. 221),2014, 73 84 Irreducibility criteria for compositions and multiplicative convolutions of polynomials with integer coefficients Anca
The Fourth International DERIVE-TI92/89 Conference Liverpool, U.K., 12-15 July 2000. Derive 5: The Easiest... Just Got Better!
The Fourth International DERIVE-TI9/89 Conference Liverpool, U.K., -5 July 000 Derive 5: The Easiest... Just Got Better! Michel Beaudin École de technologie supérieure 00, rue Notre-Dame Ouest Montréal
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
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
Figure 1.1 Vector A and Vector F
CHAPTER I VECTOR QUANTITIES Quantities are anything which can be measured, and stated with number. Quantities in physics are divided into two types; scalar and vector quantities. Scalar quantities have
Tennessee Mathematics Standards 2009-2010 Implementation. Grade Six Mathematics. Standard 1 Mathematical Processes
Tennessee Mathematics Standards 2009-2010 Implementation Grade Six Mathematics Standard 1 Mathematical Processes GLE 0606.1.1 Use mathematical language, symbols, and definitions while developing mathematical
Dedekind s forgotten axiom and why we should teach it (and why we shouldn t teach mathematical induction in our calculus classes)
Dedekind s forgotten axiom and why we should teach it (and why we shouldn t teach mathematical induction in our calculus classes) by Jim Propp (UMass Lowell) March 14, 2010 1 / 29 Completeness Three common
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,
C relative to O being abc,, respectively, then b a c.
2 EP-Program - Strisuksa School - Roi-et Math : Vectors Dr.Wattana Toutip - Department of Mathematics Khon Kaen University 200 :Wattana Toutip [email protected] http://home.kku.ac.th/wattou 2. Vectors A
Introduction. Appendix D Mathematical Induction D1
Appendix D Mathematical Induction D D Mathematical Induction Use mathematical induction to prove a formula. Find a sum of powers of integers. Find a formula for a finite sum. Use finite differences to
