ON THE FIXED POINTS OF AN AFFINE TRANSFORMATION: AN ELEMENTARY VIEW

Size: px
Start display at page:

Download "ON THE FIXED POINTS OF AN AFFINE TRANSFORMATION: AN ELEMENTARY VIEW"

Transcription

1 ON THE FIXED POINTS OF AN AFFINE TRANSFORMATION: AN ELEMENTARY VIEW Abstrct. This note shows how the fixed points of n ffine trnsformtion in the plne cn be constructed by n elementry geometric method. The pproch presented here lso shows how the ffinities of the plne cn be clssified with the help of their fixed points. 1. Introduction Every mthemtics mjor college student hs to be known the fixed point theorem of the similrities of R n : if similrity of R n is not n isometry, then it hs unique fixed point. Perhps most of them dds lso the rgument: the sttement is simple consequence of the fmous Bnch fixed point theorem for contrctions in complete metric spce. However, the fixed points not only of similrities but lso the broder clss of ffine trnsformtions in R n cn be studied with more elementry tools. This note shows how the fixed points of n ffine trnsformtion in the plne cn be constructed by n elementry geometric method. I lerned the bse ide from [1], where n elementry ruler construction is given for the fixed point of similrity in the plne. However, this construction cn be esily pplied for ffine trnsformtions of the plne, too. Perhps this fct ws well-known in the golden ge of clssicl projective geometry, but its erliest source I found in [6]. This pproch lso shows how the ffinities of the plne cn be clssified with the help of their fixed points. I hve successfully presented this tretment severl times, in geometry course for mthemtics mjors who hve studied liner lgebr. 2. Affine trnsformtions Bsic properties of ffine trnsformtions re well-known (reference [5] is good nlytic introduction), however, for the reders convenience, I recll some bsic notions. ZDM Subject Clssifiction. G05, G45, G75. Key words nd phrses. Fixed point theorem, ffine trnsformtion, equiffine trnsformtion. 1

2 2 A bijective trnsformtion F : R n R n is clled ffine, if (1) t R, x, y R n : F (tx + (1 t)y) = tf (x) + (1 t)f (y), or equivlently F = τ v φ for unique liner utomorphism φ Gl(R n ), nd for unique trnsltion τ v : R n R n, x x + v, (v R n ). φ is clled the liner prt of F. A vector x R n is fixed point of F (i.e., F (x) = x) if nd only if φ(x) + v = x, or in more illuminting form, if (2) (φ id)(x) = v. (2) cn be recognized s system of liner equtions, so in the solvble cse rnk r of the liner opertor φ id sys everything on the structure of fixed points, nmely the set of ll fixed points is n ffine subspce of dimension n r in R n. Of course in cse of r = n one does not need to ssume the solvbility of (2), nd one gets immeditely the fixed point theorem of ffine trnsformtions: Theorem 1. An ffine trnsformtion F = τ v φ hs unique fixed point if nd only if φ id is n isomorphism of R n. Moreover, the unique fixed point is (φ id) 1 ( v). Corollry 1 (Fixed point theorem of similrities). If similrity of R n is not n isometry, then it hs unique fixed point. Proof. Let F be similrity with mgnifiction fctor 1 λ > 0. The liner prt of F is λψ, where ψ is n orthogonl trnsformtion of R n. We need only to show tht the kernel of λψ id contins the zero vector lone. If x R n is vector in the kernel of λψ id, then λψ(x) = x, therefore λ ψ(x) = x. Since ψ preserves the norm, we hve (λ 1) x = 0, hence x = 0. The fundmentl theorem of the plne-ffine geometry sttes tht ny two tringles (or equivlently, ny two prllelogrms) of the plne cn be relted by unique ffine trnsformtion. This theorem enbles us to define plne ffine mp through the ssignment of the relted tringles. For exmple, given line t nd two points p, q off t, there is unique ffine trnsformtion tht leves every point on t fixed, nd sends p to q. This ffine trnsformtion is denoted by [t, p q], nd is clled n xil ffine trnsformtion. 3. The construction Herefter for x y R 2 the line tx+(1 t)y (t R) will be denoted by xy, while the segment tx + (1 t)y (t [0, 1]) by [xy].

3 ON THE FIXED POINTS OF AN AFFINE TRANSFORMATION 3 s m q d c r d c r d c b b p q b c d b p s d c r b p b c q d s Figure 1. Ruler construction for fixed points of n ffine trnsformtion in the plne Theorem 2. Let F : R 2 R 2, z F (z) = z be n ffine trnsformtion of the plne. Let (, b, c, d) be prllelogrm i.e., let, b, c, d R 2 non-colliner points such tht b = c d. Suppose, moreover, tht rnk(b, b ) = rnk(d, d ) = 2. Let, finlly, b b = p, dc d c = r, bc b c = q, d d = s. With these nottions, we hve: (1) if F hs unique fixed point m, then m = pr qs, (2) if F hs no fixed point, then pr qs but pr qs, (3) if F hs pointwise-fixed line, then this line is pr = qs, (Figure 1). I note tht the proof of Theorem 2 in [6] computes the equtions of lines pr nd qs in specil coordinte-system. From these equtions system of liner equtions is formed, nd the equivlence of this system nd (2) is proven. The following pure nlytic proof differs from the

4 4 one presented in [6], nd tries to grsp the geometric ide of the proof in [1]. Proof. The third sttement nd its converse is obvious. If F is n xil ffine trnsformtion, then the corresponding lines meet ech other on the xis. Conversely, if pr = qs then for some t R we hve (3) p = t + (1 t)b. Since cb d nd c b d, (3) implies: p = ts + (1 t)q = p = t + (1 t)b = p = p, nd nlogously r = r. Thus the line pr = qs is pointwise fixed. Now we prove the first sttement. From the definition of points p nd r, it follows tht there exist α, β, γ, δ R, such tht: (4) (5) tht is (6) (7) From (6) nd (4) we obtin tht p = α + (1 α)b = β + (1 β)b r = γd + (1 γ)c = δd + (1 δ)c, p = α + (1 α)b r = γd + (1 γ)c. (8) p p = (α β)( b ). Similrly, from (7) nd (5) we get (9) r r = (γ δ)(d c ). Since (, b, c, d ) is prllelogrm, it follows tht (10) b = d c = x. For some t R, multiply (8) by t nd (9) by (1 t). This leds to (11) (12) tp tp = t(α β)x, (1 t)r (1 t)r = (1 t)(γ δ)x. Now, dding (11) nd (12) we obtin (13) tp + (1 t)r = tp + (1 t)r + [t(α β) + (1 t)(γ δ)]x. Observe tht if φ id is liner utomorphism, then we cn determine t such tht (14) t(α β)+(1 t)(γ δ) = 0 t[(α β) (γ δ)] = (γ δ). Indeed, rguing by contrdiction, if (α β) (γ δ) = 0 then from (8) nd (9) we get p p = r r = φ(p) p = φ(r) r = (φ id)(p r) = 0,

5 ON THE FIXED POINTS OF AN AFFINE TRANSFORMATION 5 which is impossible. With formul (13) reduces to γ δ t = (α β) (γ δ), (15) tp + (1 t)r = tp + (1 t)r. The point so obtined is denoted by m. Now pplying F to m we get F (m) = F (tp (1 t)r) = tp + (1 t)r = m. It mens tht the fixed point m is on the line pr, nd nlogously on qs. Thus the first sttement is proved. Further nlysis of (13) leds to the second sttement. If α β = γ δ = 0, then from (8) nd (9) we get p = p nd r = r, mening tht F leves p nd r fixed. If n ffine trnsformtion leves fixed two distinct points, then it leves fixed every point on the joining line of these points. This is cse 3, so if F hs no fixed point, then α β = γ δ 0. From (8) nd (9) we get p p = r r φ(p r) = p r φ(p r) (p r) = 0 p r Ker(φ id). Anlogously, q s Ker(φ id). Since dim Ker(φ id) = 1, it follows tht q s p r. This is the second sttement. 4. Clssifiction of ffine trnsformtions of the plne A simple consequence of the fundmentl theorem of plne-ffine geometry is the following: every ffine trnsformtion in the plne is the product of similrity nd n xil ffine trnsformtion. Nmely, let the ffine trnsformtion F be given by (p, q, r) (p, q, r ). Let χ denote similrity for which χ(p) = p nd χ(p) = q. Then F is the product of χ nd the xil ffine trnsformtion [p q, χ(r) r ]. If F hs unique fixed point, then it cn be chosen s p, thus p = p. Theorem 3. If ffine trnsformtion of the plne hs unique fixed point p, then it is the product of rottion round p, centrl dilttion with center p nd n xil ffinity, where p is on the xis. If there re no fixed points, the similrity reduces to trnsltion, nd we hve Theorem 4. Every ffine trnsformtion of the plne without fixed points is the product of trnsltion nd n xil ffine trnsformtion.

6 6 Proof. As consequence of the fixed point theorem, in this cse dim Ker(φ id) 1. Let q p Ker(φ id), (p, q R 2, p q). Then F (q) F (p) = q p, therefore (p, q) cn be trnslted to (F (p), F (q)). The trnsltion, determined by p F (p), is denoted by τ. Now the required ffine trnsformtion cn be given s (p, q, r) (F (p), F (q), F (r)). This ffinity is the product of the trnsltion τ nd the xil ffine trnsformtion [F (p)f (q), τ(r) F (r)] (Figure 2.) τ(r) F (r) r F (p) = τ(p) F (q) = τ(q) p q Figure 2. An ffine trnsformtion without fixed point is the product of trnsltion nd n xil ffinity 5. The equiffine cse An ffine trnsformtion of the plne tht preserves the re is clled equiffine trnsformtion. Let p, q, r be non-colliner points in R 2. The unique ffine trnsformtion tht leves p fixed, while interchnges q nd r, is clled n ffine reflection nd denoted by [p, q r]. In ddition, let s be the midpoint of the segment qr. The bove ffine reflection leves fixed every point of ps but no other points. Clerly, every Eucliden reflection is n ffine reflection. Let p, q, r be non-colliner points in R 2. The unique ffine trnsformtion leving every point fixed on the line through p nd prllel to qr nd tht tkes q to r, is denoted by [p; q r] nd is clled sher. The sher [p; q r] hs the line through p prllel to qr s its set of fixed points. From the fixed point-construction one cn derive simple proof of Veblen s well-known theorem ([7, Theorem 49 of Chp. III]): Theorem 5 (Veblen). Every equiffine trnsformtion of the plne is the product of two ffine reflections.

7 ON THE FIXED POINTS OF AN AFFINE TRANSFORMATION 7 Proof. If the equiffine trnsformtion of the plne differs from trnsltion, hlf-turn or sher, then it cn be given by (, b, c, d) (b, c, c, d ), d = d c, where (, b, c, d) is prllelogrm (see [1, Chp. 13.4]). The fixed point construction is illustrted by Figure 3. Let n be the midpoint of the segment [b]. Join n with the unique fixed point m, or in the fixed point free cse drw prllel line through n with pr (qs). This line is denoted by t. In the cse of the unique fixed point, the ffinity cn be given by (, b, m) (b, c, m), moreover in the fixed point free cse by (, b, d) (b, c, d ). In both cses the ffinity is the composition of the ffine reflections [t, b] nd [p, c]. m t d = r d = s c n b = = p c = b = q t d = r d = s c n b = = p c = b = q Figure 3

8 8 The cse of sher cn be esily hndled: the sher [p; q r] is just the product of the ffine reflections [p; q s] nd [p; s r], where s is on the imge of qr by the hlf-turn with center p. A trnsltion or hlf-turn is the product of two Eucliden reflections, so the sttement is obvious. The equiffine geometry nd the equiffine group hs been extensively studied. A recent pproch to the geometric xiomtiztion of equiffine geometry is presented in pper [4]. A higher dimensionl generliztion of Veblen s theorem cn be found in [2]. Acknowledgments I m deeply indebted to P.T. Ngy (University of Debrecen, Hungry) for inspiring converstions on this topic. I lso pprecite the help of J. Horváth (University of Sopron, Hungry) t very erly stge of this pper. His joint work with M. Holli [3] seems to me the closest in spirit to my own view. I m lso grteful to the referees for their comments which improved the finl ppernce of this pper. References [1] H. S. M. Coxeter. Introduction to Geometry. John Wiley & Sons, Inc., Second edition, [2] E. W. Ellers. Decomposition of equiffinities into reflections. Geometrie Dedict, 6: , [3] M. Holli nd J. Horváth. Affine trnsformtions in the plne nd in the spce. In Studies on Mthemticl Eduction, pges Fculty of Science, ELTE, Hungry, Hungrin. [4] V. Pmbuccin. Wht is plne equiffine geometry? Aequtiones Mthemtice, 66:90 99, [5] P. J. Ryn. Eucliden nd non-eucliden Geometry. Cmbridge University Press, [6] Z. A. Skopec. On fixpoints of ffine mppings. Mtemtik v skole, 3:5 10, Russin. [7] O. Veblen nd J. W. Young. Projective Geometry. Vol. I., II. Blisdell Publishing Compny, Zoltán Kovács, Institute of Mthemtics nd Computer Science, College of Nyíregyház, 4401 Nyíregyház, Pf. 166., Hungry E-mil ddress: kovcsz@nyf.hu

Chapter 3. Vector Spaces

Chapter 3. Vector Spaces 3.4 Liner Trnsformtions 1 Chpter 3. Vector Spces 3.4 Liner Trnsformtions Note. We hve lredy studied liner trnsformtions from R n into R m. Now we look t liner trnsformtions from one generl vector spce

More information

Convex Sets and Functions

Convex Sets and Functions B Convex Sets nd Functions Definition B1 Let L, +, ) be rel liner spce nd let C be subset of L The set C is convex if, for ll x,y C nd ll [, 1], we hve 1 )x+y C In other words, every point on the line

More information

MATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35

MATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35 MATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35 9. Modules over PID This week we re proving the fundmentl theorem for finitely generted modules over PID, nmely tht they re ll direct sums of cyclic modules.

More information

arxiv: v1 [math.ra] 1 Nov 2014

arxiv: v1 [math.ra] 1 Nov 2014 CLASSIFICATION OF COMPLEX CYCLIC LEIBNIZ ALGEBRAS DANIEL SCOFIELD AND S MCKAY SULLIVAN rxiv:14110170v1 [mthra] 1 Nov 2014 Abstrct Since Leibniz lgebrs were introduced by Lody s generliztion of Lie lgebrs,

More information

Numerical Linear Algebra Assignment 008

Numerical Linear Algebra Assignment 008 Numericl Liner Algebr Assignment 008 Nguyen Qun B Hong Students t Fculty of Mth nd Computer Science, Ho Chi Minh University of Science, Vietnm emil. nguyenqunbhong@gmil.com blog. http://hongnguyenqunb.wordpress.com

More information

Here we study square linear systems and properties of their coefficient matrices as they relate to the solution set of the linear system.

Here we study square linear systems and properties of their coefficient matrices as they relate to the solution set of the linear system. Section 24 Nonsingulr Liner Systems Here we study squre liner systems nd properties of their coefficient mtrices s they relte to the solution set of the liner system Let A be n n Then we know from previous

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

The Algebra (al-jabr) of Matrices

The Algebra (al-jabr) of Matrices Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense

More information

Infinite Geometric Series

Infinite Geometric Series Infinite Geometric Series Finite Geometric Series ( finite SUM) Let 0 < r < 1, nd let n be positive integer. Consider the finite sum It turns out there is simple lgebric expression tht is equivlent to

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

A BRIEF INTRODUCTION TO UNIFORM CONVERGENCE. In the study of Fourier series, several questions arise naturally, such as: c n e int

A BRIEF INTRODUCTION TO UNIFORM CONVERGENCE. In the study of Fourier series, several questions arise naturally, such as: c n e int A BRIEF INTRODUCTION TO UNIFORM CONVERGENCE HANS RINGSTRÖM. Questions nd exmples In the study of Fourier series, severl questions rise nturlly, such s: () (2) re there conditions on c n, n Z, which ensure

More information

arxiv:math/ v2 [math.ho] 16 Dec 2003

arxiv:math/ v2 [math.ho] 16 Dec 2003 rxiv:mth/0312293v2 [mth.ho] 16 Dec 2003 Clssicl Lebesgue Integrtion Theorems for the Riemnn Integrl Josh Isrlowitz 244 Ridge Rd. Rutherford, NJ 07070 jbi2@njit.edu Februry 1, 2008 Abstrct In this pper,

More information

Notes on length and conformal metrics

Notes on length and conformal metrics Notes on length nd conforml metrics We recll how to mesure the Eucliden distnce of n rc in the plne. Let α : [, b] R 2 be smooth (C ) rc. Tht is α(t) (x(t), y(t)) where x(t) nd y(t) re smooth rel vlued

More information

Lesson Notes: Week 40-Vectors

Lesson Notes: Week 40-Vectors Lesson Notes: Week 40-Vectors Vectors nd Sclrs vector is quntity tht hs size (mgnitude) nd direction. Exmples of vectors re displcement nd velocity. sclr is quntity tht hs size but no direction. Exmples

More information

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of

More information

Math 6455 Oct 10, Differential Geometry I Fall 2006, Georgia Tech

Math 6455 Oct 10, Differential Geometry I Fall 2006, Georgia Tech Mth 6455 Oct 10, 2006 1 Differentil Geometry I Fll 2006, Georgi Tech Lecture Notes 12 Riemnnin Metrics 0.1 Definition If M is smooth mnifold then by Riemnnin metric g on M we men smooth ssignment of n

More information

Approximation of functions belonging to the class L p (ω) β by linear operators

Approximation of functions belonging to the class L p (ω) β by linear operators ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 3, 9, Approximtion of functions belonging to the clss L p ω) β by liner opertors W lodzimierz Lenski nd Bogdn Szl Abstrct. We prove

More information

The Hadamard s inequality for quasi-convex functions via fractional integrals

The Hadamard s inequality for quasi-convex functions via fractional integrals Annls of the University of Criov, Mthemtics nd Computer Science Series Volume (), 3, Pges 67 73 ISSN: 5-563 The Hdmrd s ineulity for usi-convex functions vi frctionl integrls M E Özdemir nd Çetin Yildiz

More information

KRASNOSEL SKII TYPE FIXED POINT THEOREM FOR NONLINEAR EXPANSION

KRASNOSEL SKII TYPE FIXED POINT THEOREM FOR NONLINEAR EXPANSION Fixed Point Theory, 13(2012), No. 1, 285-291 http://www.mth.ubbcluj.ro/ nodecj/sfptcj.html KRASNOSEL SKII TYPE FIXED POINT THEOREM FOR NONLINEAR EXPANSION FULI WANG AND FENG WANG School of Mthemtics nd

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

Note 16. Stokes theorem Differential Geometry, 2005

Note 16. Stokes theorem Differential Geometry, 2005 Note 16. Stokes theorem ifferentil Geometry, 2005 Stokes theorem is the centrl result in the theory of integrtion on mnifolds. It gives the reltion between exterior differentition (see Note 14) nd integrtion

More information

A HELLY THEOREM FOR FUNCTIONS WITH VALUES IN METRIC SPACES. 1. Introduction

A HELLY THEOREM FOR FUNCTIONS WITH VALUES IN METRIC SPACES. 1. Introduction Ttr Mt. Mth. Publ. 44 (29), 159 168 DOI: 1.2478/v1127-9-56-z t m Mthemticl Publictions A HELLY THEOREM FOR FUNCTIONS WITH VALUES IN METRIC SPACES Miloslv Duchoň Peter Mličký ABSTRACT. We present Helly

More information

The Regulated and Riemann Integrals

The Regulated and Riemann Integrals Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue

More information

Semigroup of generalized inverses of matrices

Semigroup of generalized inverses of matrices Semigroup of generlized inverses of mtrices Hnif Zekroui nd Sid Guedjib Abstrct. The pper is divided into two principl prts. In the first one, we give the set of generlized inverses of mtrix A structure

More information

Vectors , (0,0). 5. A vector is commonly denoted by putting an arrow above its symbol, as in the picture above. Here are some 3-dimensional vectors:

Vectors , (0,0). 5. A vector is commonly denoted by putting an arrow above its symbol, as in the picture above. Here are some 3-dimensional vectors: Vectors 1-23-2018 I ll look t vectors from n lgeric point of view nd geometric point of view. Algericlly, vector is n ordered list of (usully) rel numers. Here re some 2-dimensionl vectors: (2, 3), ( )

More information

Frobenius numbers of generalized Fibonacci semigroups

Frobenius numbers of generalized Fibonacci semigroups Frobenius numbers of generlized Fiboncci semigroups Gretchen L. Mtthews 1 Deprtment of Mthemticl Sciences, Clemson University, Clemson, SC 29634-0975, USA gmtthe@clemson.edu Received:, Accepted:, Published:

More information

Hilbert Spaces. Chapter Inner product spaces

Hilbert Spaces. Chapter Inner product spaces Chpter 4 Hilbert Spces 4.1 Inner product spces In the following we will discuss both complex nd rel vector spces. With L denoting either R or C we recll tht vector spce over L is set E equipped with ddition,

More information

(e) if x = y + z and a divides any two of the integers x, y, or z, then a divides the remaining integer

(e) if x = y + z and a divides any two of the integers x, y, or z, then a divides the remaining integer Divisibility In this note we introduce the notion of divisibility for two integers nd b then we discuss the division lgorithm. First we give forml definition nd note some properties of the division opertion.

More information

Self-similarity and symmetries of Pascal s triangles and simplices mod p

Self-similarity and symmetries of Pascal s triangles and simplices mod p Sn Jose Stte University SJSU ScholrWorks Fculty Publictions Mthemtics nd Sttistics Februry 2004 Self-similrity nd symmetries of Pscl s tringles nd simplices mod p Richrd P. Kubelk Sn Jose Stte University,

More information

Research Article On Existence and Uniqueness of Solutions of a Nonlinear Integral Equation

Research Article On Existence and Uniqueness of Solutions of a Nonlinear Integral Equation Journl of Applied Mthemtics Volume 2011, Article ID 743923, 7 pges doi:10.1155/2011/743923 Reserch Article On Existence nd Uniqueness of Solutions of Nonliner Integrl Eqution M. Eshghi Gordji, 1 H. Bghni,

More information

The Banach algebra of functions of bounded variation and the pointwise Helly selection theorem

The Banach algebra of functions of bounded variation and the pointwise Helly selection theorem The Bnch lgebr of functions of bounded vrition nd the pointwise Helly selection theorem Jordn Bell jordn.bell@gmil.com Deprtment of Mthemtics, University of Toronto Jnury, 015 1 BV [, b] Let < b. For f

More information

MATH 174A: PROBLEM SET 5. Suggested Solution

MATH 174A: PROBLEM SET 5. Suggested Solution MATH 174A: PROBLEM SET 5 Suggested Solution Problem 1. Suppose tht I [, b] is n intervl. Let f 1 b f() d for f C(I; R) (i.e. f is continuous rel-vlued function on I), nd let L 1 (I) denote the completion

More information

Chapter 14. Matrix Representations of Linear Transformations

Chapter 14. Matrix Representations of Linear Transformations Chpter 4 Mtrix Representtions of Liner Trnsformtions When considering the Het Stte Evolution, we found tht we could describe this process using multipliction by mtrix. This ws nice becuse computers cn

More information

13.3 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS

13.3 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS 33 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS As simple ppliction of the results we hve obtined on lgebric extensions, nd in prticulr on the multiplictivity of extension degrees, we cn nswer (in

More information

Linearly Similar Polynomials

Linearly Similar Polynomials Linerly Similr Polynomils rthur Holshouser 3600 Bullrd St. Chrlotte, NC, US Hrold Reiter Deprtment of Mthemticl Sciences University of North Crolin Chrlotte, Chrlotte, NC 28223, US hbreiter@uncc.edu stndrd

More information

The Projective Line as a Meridian by Kelly McKennon

The Projective Line as a Meridian by Kelly McKennon The Projective Line s Meridin by Kelly McKennon 1 Introduction (11) Abstrct We investigte tht mthemticl ide which in lgebr is known s cross rtio, in one-dimensionl geometry s projective line, in two-dimensionl

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

ON THE NILPOTENCY INDEX OF THE RADICAL OF A GROUP ALGEBRA. XI

ON THE NILPOTENCY INDEX OF THE RADICAL OF A GROUP ALGEBRA. XI Mth. J. Okym Univ. 44(2002), 51 56 ON THE NILPOTENCY INDEX OF THE RADICAL OF A GROUP ALGEBRA. XI Koru MOTOSE Let t(g) be the nilpotency index of the rdicl J(KG) of group lgebr KG of finite p-solvble group

More information

PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS

PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS To strt on tensor clculus, we need to define differentition on mnifold.a good question to sk is if the prtil derivtive of tensor tensor on mnifold?

More information

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f 1. Appliction of functionl nlysis to PEs 1.1. Introduction. In this section we give little introduction to prtil differentil equtions. In prticulr we consider the problem u(x) = f(x) x, u(x) = x (1) where

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

More information

STRAND J: TRANSFORMATIONS, VECTORS and MATRICES

STRAND J: TRANSFORMATIONS, VECTORS and MATRICES Mthemtics SKE: STRN J STRN J: TRNSFORMTIONS, VETORS nd MTRIES J3 Vectors Text ontents Section J3.1 Vectors nd Sclrs * J3. Vectors nd Geometry Mthemtics SKE: STRN J J3 Vectors J3.1 Vectors nd Sclrs Vectors

More information

Set Integral Equations in Metric Spaces

Set Integral Equations in Metric Spaces Mthemtic Morvic Vol. 13-1 2009, 95 102 Set Integrl Equtions in Metric Spces Ion Tişe Abstrct. Let P cp,cvr n be the fmily of ll nonempty compct, convex subsets of R n. We consider the following set integrl

More information

4 VECTORS. 4.0 Introduction. Objectives. Activity 1

4 VECTORS. 4.0 Introduction. Objectives. Activity 1 4 VECTRS Chpter 4 Vectors jectives fter studying this chpter you should understnd the difference etween vectors nd sclrs; e le to find the mgnitude nd direction of vector; e le to dd vectors, nd multiply

More information

ON A CONVEXITY PROPERTY. 1. Introduction Most general class of convex functions is defined by the inequality

ON A CONVEXITY PROPERTY. 1. Introduction Most general class of convex functions is defined by the inequality Krgujevc Journl of Mthemtics Volume 40( (016, Pges 166 171. ON A CONVEXITY PROPERTY SLAVKO SIMIĆ Abstrct. In this rticle we proved n interesting property of the clss of continuous convex functions. This

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

Some estimates on the Hermite-Hadamard inequality through quasi-convex functions

Some estimates on the Hermite-Hadamard inequality through quasi-convex functions Annls of University of Criov, Mth. Comp. Sci. Ser. Volume 3, 7, Pges 8 87 ISSN: 13-693 Some estimtes on the Hermite-Hdmrd inequlity through qusi-convex functions Dniel Alexndru Ion Abstrct. In this pper

More information

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.)

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.) MORE FUNCTION GRAPHING; OPTIMIZATION FRI, OCT 25, 203 (Lst edited October 28, 203 t :09pm.) Exercise. Let n be n rbitrry positive integer. Give n exmple of function with exctly n verticl symptotes. Give

More information

Lecture notes. Fundamental inequalities: techniques and applications

Lecture notes. Fundamental inequalities: techniques and applications Lecture notes Fundmentl inequlities: techniques nd pplictions Mnh Hong Duong Mthemtics Institute, University of Wrwick Emil: m.h.duong@wrwick.c.uk Februry 8, 207 2 Abstrct Inequlities re ubiquitous in

More information

4. Calculus of Variations

4. Calculus of Variations 4. Clculus of Vritions Introduction - Typicl Problems The clculus of vritions generlises the theory of mxim nd minim. Exmple (): Shortest distnce between two points. On given surfce (e.g. plne), nd the

More information

arxiv: v1 [math.ca] 28 Jan 2013

arxiv: v1 [math.ca] 28 Jan 2013 ON NEW APPROACH HADAMARD-TYPE INEQUALITIES FOR s-geometrically CONVEX FUNCTIONS rxiv:3.9v [mth.ca 8 Jn 3 MEVLÜT TUNÇ AND İBRAHİM KARABAYIR Astrct. In this pper we chieve some new Hdmrd type ineulities

More information

On the diagram below the displacement is represented by the directed line segment OA.

On the diagram below the displacement is represented by the directed line segment OA. Vectors Sclrs nd Vectors A vector is quntity tht hs mgnitude nd direction. One exmple of vector is velocity. The velocity of n oject is determined y the mgnitude(speed) nd direction of trvel. Other exmples

More information

2 Fundamentals of Functional Analysis

2 Fundamentals of Functional Analysis Fchgruppe Angewndte Anlysis und Numerik Dr. Mrtin Gutting 22. October 2015 2 Fundmentls of Functionl Anlysis This short introduction to the bsics of functionl nlysis shll give n overview of the results

More information

FINAL REVIEW. 1. Vector Fields, Work, and Flux Suggested Problems:

FINAL REVIEW. 1. Vector Fields, Work, and Flux Suggested Problems: FINAL EVIEW 1. Vector Fields, Work, nd Flux uggested Problems: { 14.1 7, 13, 16 14.2 17, 25, 27, 29, 36, 45 We dene vector eld F (x, y) to be vector vlued function tht mps ech point in the plne to two

More information

Dually quasi-de Morgan Stone semi-heyting algebras II. Regularity

Dually quasi-de Morgan Stone semi-heyting algebras II. Regularity Volume 2, Number, July 204, 65-82 ISSN Print: 2345-5853 Online: 2345-586 Dully qusi-de Morgn Stone semi-heyting lgebrs II. Regulrity Hnmntgoud P. Snkppnvr Abstrct. This pper is the second of two prt series.

More information

Conducting Ellipsoid and Circular Disk

Conducting Ellipsoid and Circular Disk 1 Problem Conducting Ellipsoid nd Circulr Disk Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 (September 1, 00) Show tht the surfce chrge density σ on conducting ellipsoid,

More information

8 Laplace s Method and Local Limit Theorems

8 Laplace s Method and Local Limit Theorems 8 Lplce s Method nd Locl Limit Theorems 8. Fourier Anlysis in Higher DImensions Most of the theorems of Fourier nlysis tht we hve proved hve nturl generliztions to higher dimensions, nd these cn be proved

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

CIRCULAR COLOURING THE PLANE

CIRCULAR COLOURING THE PLANE CIRCULAR COLOURING THE PLANE MATT DEVOS, JAVAD EBRAHIMI, MOHAMMAD GHEBLEH, LUIS GODDYN, BOJAN MOHAR, AND REZA NASERASR Astrct. The unit distnce grph R is the grph with vertex set R 2 in which two vertices

More information

The Projective Line as a Meridian

The Projective Line as a Meridian The Projective Line s Meridin 1 Introduction (11) Prologue This pper investigtes tht mthemticl ide which in lgebr is known s cross rtio, in one-dimensionl geometry s projective line, in two-dimensionl

More information

Lecture 3. Limits of Functions and Continuity

Lecture 3. Limits of Functions and Continuity Lecture 3 Limits of Functions nd Continuity Audrey Terrs April 26, 21 1 Limits of Functions Notes I m skipping the lst section of Chpter 6 of Lng; the section bout open nd closed sets We cn probbly live

More information

Math Solutions to homework 1

Math Solutions to homework 1 Mth 75 - Solutions to homework Cédric De Groote October 5, 07 Problem, prt : This problem explores the reltionship between norms nd inner products Let X be rel vector spce ) Suppose tht is norm on X tht

More information

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b.

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b. Mth 255 - Vector lculus II Notes 4.2 Pth nd Line Integrls We begin with discussion of pth integrls (the book clls them sclr line integrls). We will do this for function of two vribles, but these ides cn

More information

Things to Memorize: A Partial List. January 27, 2017

Things to Memorize: A Partial List. January 27, 2017 Things to Memorize: A Prtil List Jnury 27, 2017 Chpter 2 Vectors - Bsic Fcts A vector hs mgnitude (lso clled size/length/norm) nd direction. It does not hve fixed position, so the sme vector cn e moved

More information

Euler, Ioachimescu and the trapezium rule. G.J.O. Jameson (Math. Gazette 96 (2012), )

Euler, Ioachimescu and the trapezium rule. G.J.O. Jameson (Math. Gazette 96 (2012), ) Euler, Iochimescu nd the trpezium rule G.J.O. Jmeson (Mth. Gzette 96 (0), 36 4) The following results were estblished in recent Gzette rticle [, Theorems, 3, 4]. Given > 0 nd 0 < s

More information

UniversitaireWiskundeCompetitie. Problem 2005/4-A We have k=1. Show that for every q Q satisfying 0 < q < 1, there exists a finite subset K N so that

UniversitaireWiskundeCompetitie. Problem 2005/4-A We have k=1. Show that for every q Q satisfying 0 < q < 1, there exists a finite subset K N so that Problemen/UWC NAW 5/7 nr juni 006 47 Problemen/UWC UniversitireWiskundeCompetitie Edition 005/4 For Session 005/4 we received submissions from Peter Vndendriessche, Vldislv Frnk, Arne Smeets, Jn vn de

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60.

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60. Mth 104: finl informtion The finl exm will tke plce on Fridy My 11th from 8m 11m in Evns room 60. The exm will cover ll prts of the course with equl weighting. It will cover Chpters 1 5, 7 15, 17 21, 23

More information

Well Centered Spherical Quadrangles

Well Centered Spherical Quadrangles Beiträge zur Algebr und Geometrie Contributions to Algebr nd Geometry Volume 44 (003), No, 539-549 Well Centered Sphericl Qudrngles An M d Azevedo Bred 1 Altino F Sntos Deprtment of Mthemtics, University

More information

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004 Advnced Clculus: MATH 410 Notes on Integrls nd Integrbility Professor Dvid Levermore 17 October 2004 1. Definite Integrls In this section we revisit the definite integrl tht you were introduced to when

More information

Diophantine Steiner Triples and Pythagorean-Type Triangles

Diophantine Steiner Triples and Pythagorean-Type Triangles Forum Geometricorum Volume 10 (2010) 93 97. FORUM GEOM ISSN 1534-1178 Diophntine Steiner Triples nd Pythgoren-Type Tringles ojn Hvl bstrct. We present connection between Diophntine Steiner triples (integer

More information

Bernoulli Numbers Jeff Morton

Bernoulli Numbers Jeff Morton Bernoulli Numbers Jeff Morton. We re interested in the opertor e t k d k t k, which is to sy k tk. Applying this to some function f E to get e t f d k k tk d k f f + d k k tk dk f, we note tht since f

More information

A product convergence theorem for Henstock Kurzweil integrals

A product convergence theorem for Henstock Kurzweil integrals A product convergence theorem for Henstock Kurzweil integrls Prsr Mohnty Erik Tlvil 1 Deprtment of Mthemticl nd Sttisticl Sciences University of Albert Edmonton AB Cnd T6G 2G1 pmohnty@mth.ulbert.c etlvil@mth.ulbert.c

More information

Zero-Sum Magic Graphs and Their Null Sets

Zero-Sum Magic Graphs and Their Null Sets Zero-Sum Mgic Grphs nd Their Null Sets Ebrhim Slehi Deprtment of Mthemticl Sciences University of Nevd Ls Vegs Ls Vegs, NV 89154-4020. ebrhim.slehi@unlv.edu Abstrct For ny h N, grph G = (V, E) is sid to

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

STUDY GUIDE FOR BASIC EXAM

STUDY GUIDE FOR BASIC EXAM STUDY GUIDE FOR BASIC EXAM BRYON ARAGAM This is prtil list of theorems tht frequently show up on the bsic exm. In mny cses, you my be sked to directly prove one of these theorems or these vrints. There

More information

MATH STUDENT BOOK. 10th Grade Unit 5

MATH STUDENT BOOK. 10th Grade Unit 5 MATH STUDENT BOOK 10th Grde Unit 5 Unit 5 Similr Polygons MATH 1005 Similr Polygons INTRODUCTION 3 1. PRINCIPLES OF ALGEBRA 5 RATIOS AND PROPORTIONS 5 PROPERTIES OF PROPORTIONS 11 SELF TEST 1 16 2. SIMILARITY

More information

Integrals along Curves.

Integrals along Curves. Integrls long Curves. 1. Pth integrls. Let : [, b] R n be continuous function nd let be the imge ([, b]) of. We refer to both nd s curve. If we need to distinguish between the two we cll the function the

More information

SOLUTIONS FOR ADMISSIONS TEST IN MATHEMATICS, COMPUTER SCIENCE AND JOINT SCHOOLS WEDNESDAY 5 NOVEMBER 2014

SOLUTIONS FOR ADMISSIONS TEST IN MATHEMATICS, COMPUTER SCIENCE AND JOINT SCHOOLS WEDNESDAY 5 NOVEMBER 2014 SOLUTIONS FOR ADMISSIONS TEST IN MATHEMATICS, COMPUTER SCIENCE AND JOINT SCHOOLS WEDNESDAY 5 NOVEMBER 014 Mrk Scheme: Ech prt of Question 1 is worth four mrks which re wrded solely for the correct nswer.

More information

Dually quasi-de Morgan Stone semi-heyting algebras I. Regularity

Dually quasi-de Morgan Stone semi-heyting algebras I. Regularity Volume 2, Number, July 204, 47-64 ISSN Print: 2345-5853 Online: 2345-586 Dully qusi-de Morgn Stone semi-heyting lgebrs I. Regulrity Hnmntgoud P. Snkppnvr Abstrct. This pper is the first of two prt series.

More information

TRAPEZOIDAL TYPE INEQUALITIES FOR n TIME DIFFERENTIABLE FUNCTIONS

TRAPEZOIDAL TYPE INEQUALITIES FOR n TIME DIFFERENTIABLE FUNCTIONS TRAPEZOIDAL TYPE INEQUALITIES FOR n TIME DIFFERENTIABLE FUNCTIONS S.S. DRAGOMIR AND A. SOFO Abstrct. In this pper by utilising result given by Fink we obtin some new results relting to the trpezoidl inequlity

More information

REPRESENTATION THEORY OF PSL 2 (q)

REPRESENTATION THEORY OF PSL 2 (q) REPRESENTATION THEORY OF PSL (q) YAQIAO LI Following re notes from book [1]. The im is to show the qusirndomness of PSL (q), i.e., the group hs no low dimensionl representtion. 1. Representtion Theory

More information

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 UNIFORM CONVERGENCE Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 Suppose f n : Ω R or f n : Ω C is sequence of rel or complex functions, nd f n f s n in some sense. Furthermore,

More information

Inner-product spaces

Inner-product spaces Inner-product spces Definition: Let V be rel or complex liner spce over F (here R or C). An inner product is n opertion between two elements of V which results in sclr. It is denoted by u, v nd stisfies:

More information

1 ELEMENTARY ALGEBRA and GEOMETRY READINESS DIAGNOSTIC TEST PRACTICE

1 ELEMENTARY ALGEBRA and GEOMETRY READINESS DIAGNOSTIC TEST PRACTICE ELEMENTARY ALGEBRA nd GEOMETRY READINESS DIAGNOSTIC TEST PRACTICE Directions: Study the exmples, work the prolems, then check your nswers t the end of ech topic. If you don t get the nswer given, check

More information

Parallel Projection Theorem (Midpoint Connector Theorem):

Parallel Projection Theorem (Midpoint Connector Theorem): rllel rojection Theorem (Midpoint onnector Theorem): The segment joining the midpoints of two sides of tringle is prllel to the third side nd hs length one-hlf the third side. onversely, If line isects

More information

BEZOUT INEQUALITY FOR MIXED VOLUMES

BEZOUT INEQUALITY FOR MIXED VOLUMES BEZOUT INEQUALITY FOR MIXED VOLUMES IVAN SOPRUNOV AND ARTEM ZVAVITCH Abstrct. In this pper we consider the following nlog of Bezout inequlity for mixed volumes: V (P 1,..., P r, n r )V n( ) r 1 V (P i,

More information

Math 33A Discussion Example Austin Christian October 23, Example 1. Consider tiling the plane by equilateral triangles, as below.

Math 33A Discussion Example Austin Christian October 23, Example 1. Consider tiling the plane by equilateral triangles, as below. Mth 33A Discussion Exmple Austin Christin October 3 6 Exmple Consider tiling the plne by equilterl tringles s below Let v nd w be the ornge nd green vectors in this figure respectively nd let {v w} be

More information

Best Approximation in the 2-norm

Best Approximation in the 2-norm Jim Lmbers MAT 77 Fll Semester 1-11 Lecture 1 Notes These notes correspond to Sections 9. nd 9.3 in the text. Best Approximtion in the -norm Suppose tht we wish to obtin function f n (x) tht is liner combintion

More information

Fourier series. Preliminary material on inner products. Suppose V is vector space over C and (, )

Fourier series. Preliminary material on inner products. Suppose V is vector space over C and (, ) Fourier series. Preliminry mteril on inner products. Suppose V is vector spce over C nd (, ) is Hermitin inner product on V. This mens, by definition, tht (, ) : V V C nd tht the following four conditions

More information

Handout 4. Inverse and Implicit Function Theorems.

Handout 4. Inverse and Implicit Function Theorems. 8.95 Hndout 4. Inverse nd Implicit Function Theorems. Theorem (Inverse Function Theorem). Suppose U R n is open, f : U R n is C, x U nd df x is invertible. Then there exists neighborhood V of x in U nd

More information

A PROOF OF THE FUNDAMENTAL THEOREM OF CALCULUS USING HAUSDORFF MEASURES

A PROOF OF THE FUNDAMENTAL THEOREM OF CALCULUS USING HAUSDORFF MEASURES INROADS Rel Anlysis Exchnge Vol. 26(1), 2000/2001, pp. 381 390 Constntin Volintiru, Deprtment of Mthemtics, University of Buchrest, Buchrest, Romni. e-mil: cosv@mt.cs.unibuc.ro A PROOF OF THE FUNDAMENTAL

More information

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1.

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1. 398 CHAPTER 11 ORTHOGONAL FUNCTIONS AND FOURIER SERIES 11.1 ORTHOGONAL FUNCTIONS REVIEW MATERIAL The notions of generlized vectors nd vector spces cn e found in ny liner lger text. INTRODUCTION The concepts

More information

THIELE CENTRE. Linear stochastic differential equations with anticipating initial conditions

THIELE CENTRE. Linear stochastic differential equations with anticipating initial conditions THIELE CENTRE for pplied mthemtics in nturl science Liner stochstic differentil equtions with nticipting initil conditions Nrjess Khlif, Hui-Hsiung Kuo, Hbib Ouerdine nd Benedykt Szozd Reserch Report No.

More information

Intuitionistic Fuzzy Lattices and Intuitionistic Fuzzy Boolean Algebras

Intuitionistic Fuzzy Lattices and Intuitionistic Fuzzy Boolean Algebras Intuitionistic Fuzzy Lttices nd Intuitionistic Fuzzy oolen Algebrs.K. Tripthy #1, M.K. Stpthy *2 nd P.K.Choudhury ##3 # School of Computing Science nd Engineering VIT University Vellore-632014, TN, Indi

More information

A formula for the coincidence Reidemeister trace of selfmaps on bouquets of circles

A formula for the coincidence Reidemeister trace of selfmaps on bouquets of circles Firfield University DigitlCommons@Firfield Mth & Computer Science Fculty Publictions Mth & Computer Science Deprtment 1-1-2009 A formul for the coincidence Reidemeister trce of selfmps on bouquets of circles

More information

Czechoslovak Mathematical Journal, 55 (130) (2005), , Abbotsford. 1. Introduction

Czechoslovak Mathematical Journal, 55 (130) (2005), , Abbotsford. 1. Introduction Czechoslovk Mthemticl Journl, 55 (130) (2005), 933 940 ESTIMATES OF THE REMAINDER IN TAYLOR S THEOREM USING THE HENSTOCK-KURZWEIL INTEGRAL, Abbotsford (Received Jnury 22, 2003) Abstrct. When rel-vlued

More information

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS. THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS RADON ROSBOROUGH https://intuitiveexplntionscom/picrd-lindelof-theorem/ This document is proof of the existence-uniqueness theorem

More information

1 The Lagrange interpolation formula

1 The Lagrange interpolation formula Notes on Qudrture 1 The Lgrnge interpoltion formul We briefly recll the Lgrnge interpoltion formul. The strting point is collection of N + 1 rel points (x 0, y 0 ), (x 1, y 1 ),..., (x N, y N ), with x

More information