NON-LINEAR MAPS BETWEEN SUBSETS OF BANACH SPACES

Size: px
Start display at page:

Download "NON-LINEAR MAPS BETWEEN SUBSETS OF BANACH SPACES"

Transcription

1 NON-LINEAR MAPS BETWEEN SUBSETS OF BANACH SPACES A dissertatio submitted to Ket State Uiversity i partial fulfillmet of the reuiremets for the degree of Doctor of Philosophy by Reema Sbeih December, 009

2 Dissertatio writte by Reema Sbeih BS, Birzeit Uiversity, West Bak, Palestie 000 MS, Yougstow State Uiversity, 00 MA, Ket State Uiversity, 008 PhD, Ket State Uiversity, 009 Approved by Dr Per Eflo Dr Adrew Toge Dr Morley Davidso, Chair, Doctoral Dissertatio Committee, Member, Doctoral Dissertatio Committee, Member, Doctoral Dissertatio Committee Dr Keeth Batcher, Member, Outside Disciplie Dr Peter Tady, Member, Graduate Represetative Accepted by Dr Adrew Toge, Chair, Departmet of Mathematical Scieces Dr Joh R D Stalvey, Dea, College of Arts ad Scieces ii

3 TABLE OF CONTENTS ACKNOWLEDGEMENTS iv INTRODUCTION BASIC DEFINITIONS AND NOTATION 3 3 PROJECTIONS ONTO THE UNIT BALL IN L P SPACES 7 4 SCALING DOWN MAPS BETWEEN Sl AND Sl 4 5 SCALING DOWN MAPS BETWEEN Sl AND Sl 4 6 SCALING DOWN MAPS BETWEEN Sl AND Sl as 37 7 CONCLUSION AND FUTURE PROJECTS 48 BIBLIOGRAPHY 50 iii

4 ACKNOWLEDGEMENTS I owe this work to the two people from whom I received my life s blood, my parets My ultimate ispiratio comes from my advisor, Dr Per Eflo, the woderful mathematicia who guided through this icredible ad log jourey iv

5 CHAPTER INTRODUCTION I this dissertatio we study o-liear maps betwee subsets of Baach spaces As a backgroud for this study we should metio two areas of mathematical research: Geometry of Baach Spaces ad Approximatio Theory Oe way to study ad compare the geometry of differet Baach spaces is to study liear maps betwee the spaces ad to study how much these maps distort distaces betwee poits There is a extesive literature o this [], [3], [4], [5] Aother less studied way to compare the geometry of differet Baach spaces is to study maps betwee differet subsets of the spaces I this case the maps are usually o-liear ad the subsets are ofte uit balls or uit spheres of Baach spaces [6], [7], [0], [] I Approximatio Theory, the followig problem is importat: how well ca objects poits from a set A be approximated by objects poits from a set B? Oe importat way to study this approximatio is to fid for every poit i A the earest poit i B, ie, to fid the earest poit map, also called the metric projectio, ad ivestigate its properties [0], [], [3] The maps that we study i this dissertatio, the scalig dow projectio ad the scalig dow maps, are, as we shall see, earest poit maps The dissertatio is orgaized as follows: I Chapter we give the basic defiitios ad otatio that we use i the rest of the paper We also show that the scalig dow projectio ad the scalig dow maps are earest poit maps I Chapter 3, we show that the scalig dow projectio oto the uit sphere i ay

6 Baach space has Lipschitz orm at most ad that is ot attaied We also show that i L 0,, the scalig dow projectio has orm, ad that the scalig dow projectio i L 0, is the best projectio i the sese that all other projectios have orm We also give estimates for the orm of the scalig dow projectio i L p for < p < I chapters 4, 5, ad 6 we study scalig dow maps betwee the uit sphere of l, beig i some sese the largest uit sphere, ad the uit spheres of l-spaces p I particular we study the Baach-Mazur orms of these maps Our results show that the Baach-Mazur orms of these maps are much larger tha the Baach-Mazur orms of the simplest liear maps betwee the spaces

7 CHAPTER BASIC DEFINITIONS AND NOTATION I this chapter we give the basic defiitios ad otatio that we use i this paper We also show that the scalig dow projectio ad the scalig dow map are earest poit maps Defiitio [7] A vector space X is said to be a ormed space if for every x X there is associated a oegative real umber x, called the orm of x, i such a way that a x + y x + y for all x ad y i X, b αx α x if x X ad α is a scalar, c x > 0 if x 0 Every ormed space maybe regarded as a metric space, i which the distace dx, y betwee x ad y is x y Defiitio [7] A Baach space is a ormed space which is complete i the metric defied by its orm; this meas that every Cauchy seuece is reuired to coverge Let X, d be a ormed space Defiitio The uit ball of X, deoted by BX is BX {x X : dx, 0 } Defiitio The uit sphere of X, deoted by SX is SX {x X : dx, 0 } 3

8 4 Defiitio A projectio is a map P : X X such that P P P Defiitio We say that M X is cotractive if there is a projectio P i geeral oliear from X oto M such that dp x, P y dx, y for all x, y X Defiitio Let M, N X A map T : M N is a earest poit map if dx, T x dx, z for all z N Defiitio A map P o X is called a Lipschitz map if there is a costat C such that P x P y C x y for all x, y X The smallest costat C that satisfies is called the Lipschitz orm of P, ad P x P y is deoted by P It is easy to see that P sup x,y X x y Defiitio The map P o X defied by x if x > P x x x if x is called the scalig dow projectio Cosider the orms ad o a vector space Assume x x for every x Let X, Y be the ormed spaces associated with x ad x respectively We have the followig defiitio

9 5 Defiitio The scalig dow map T : SX SY is the map T that takes x γ x x where x ad γ x x Lemma The scalig dow projectio is a earest poit map from X oto BX Proof Let x X ad let y P x If x, the y x ad x y 0 So suppose that x > ; the y x x We eed to show that if z is ay poit i BX the x y x z We have x y x x x x x x, ad x x x z x z x Therefore x y x z for all z BX Corollary The scalig dow map ad its iverse are earest poit maps Defiitio A ormed space X is strictly covex if tx + tx < wheever x ad x are differet poits of SX ad 0 < t < Defiitio A ormed space X is reflexive if every bouded seuece has a weakly coverget subseuece Defiitio A ormed space X is smooth if every poit o the uit sphere of X has a uiue supportig hyperplae Next we will give some of the otatio used i this paper L p E {f : E f p < }, 0 < p < f p f p p, 0 < p < E f if{α : m{x E : fx > α} 0} L E {f : f < }

10 6 Let a {a k } be a seuece of real or complex umbers The we have the followig defiitios: a p k a k p p, 0 < p < a sup k a k l p {a : a p < }, 0 < p < l {a : a < }

11 CHAPTER 3 PROJECTIONS ONTO THE UNIT BALL IN L P SPACES It is kow that uit balls i Hilbert spaces ad spaces of cotiuous fuctios are cotractive I this chapter, we show that i ay Baach space, the scalig dow projectio has Lipschitz orm, ad has orm eual to i L 0, We also show that i L 0,, ay projectio other tha the scalig dow projectio has Lipschitz orm at least We also estimate the orm of the scalig dow projectio i L p 0,, < p < I a Hilbert space, a closed, covex set is cotractive sice the earest poit map is a cotractive projectio Theorem 3 [] Beauzamy-Maurey result Let X be reflexive, strictly covex, smooth Baach space of dimesio 3 or greater If the uit ball of X is cotractive the X is a Hilbert space Remark Sice l ad C0, are ot strictly covex, we caot apply the Beauzamy- Maurey result However, i C0, the uit ball is cotractive To see this, let f, g C0, 7

12 8 Let P f f if f if f if f Ad P g g if g if g if g It is easy to see that P f P g f g Let X be a ormed space Lemma 3 Let x, y X such that x + ɛ ad y Let P be the scalig dow projectio o X The P x P y < x y Proof Let z P x The x + ɛy + ɛz + ɛy + ɛ z y Also x + ɛy x y ɛy x y + ɛ So + ɛ z y x y + ɛ

13 9 Divide both sides of this ieuality by + ɛ x y We get This gives z y x y + ɛ + ɛ + ɛ x y + ɛ + + ɛ + ɛ sice x y ɛ 3 P x P y x y + ɛ Theorem 33 Let x, y X, x y, ad let P be the scalig dow projectio o X The 3 P x P y < x y Proof Let x, y X with x > ad y > Suppose wlog that x > y The 33 x y y y < x y So it is eough to prove the theorem for the case where y which is doe i Lemma 3 I the ext theorem, we show that i L 0,, the Lipschitz orm of the scalig dow projectio is Theorem 34 I L 0,, the Lipschitz orm of the scalig dow projectio is Proof From Theorem 33 we have that the Lipschitz orm To show that the Lipschitz orm is, it is eough to fid oe fuctio fx, outside the uit ball of

14 0 L 0, that caot be projected to the uit ball without gettig the Lipschitz orm arbitrarily close to Take fx + ɛ o [0, ] Let h P f, h, the h o [0, ] Defie the fuctio g as follows: + ɛ o A, for some A [0, ], ma gx + ɛ 0 o A c the g Ad This gives f g + ɛ + ɛ ɛ h g ɛ + ɛ + ɛ + ɛ + ɛ h g f g + ɛ as ɛ 0 Theorem 35 Let P be a projectio oto the uit ball i L 0, If P is ot the scalig dow projectio, the P Proof We show that for every projectio P that is ot the scalig dow projectio, there are g ad f, g, f + ɛ such that 34 P f P g f g + ɛ Cosider f + ɛ o [0, ] Let h P f, h Let B be a set of measure ɛ such that ht dt ɛ The ht dt ɛ Put B [0,] B gt 0 if t B ɛ if t [0, ] B

15 We ca see by the defiitio of g that g The g f gt ft dt + B ɛ + ɛ + ɛ [0,] B ɛ + ɛ + ɛ ɛ + ɛ gt ft dt + ɛ ɛ We have P g P f g h sice P g g ad P f h Now g h B gt ht dt + [0,] B gt ht dt We eed to fid gt ht dt ad gt ht dt We start with gt B [0,] B B ht dt We kow that gt 0 o B ad that ht dt ɛ So gt ht dt B B ɛ Now we eed to fid gt ht dt [0,] B [0,] B gt ht dt [0,] B gt dt [0,] B ht dt So This gives gt ɛ P g P f B o [0, ] B ad ɛ ɛ, sice gt ht dt + P f P g f g [0,] B [0,] B ɛ ɛ + ɛ + ɛ ht dt ɛ gt ht dt ɛ If f is ot mapped oto the uit sphere but P f < the let Qf be the poit o the lie segmet tf + tp f, 0 < t < such that Qf The, as above

16 Qf g we fid a g, g such that Obviously P g g Sice Qf is f g + ɛ o the lie segmet betwee f ad P f we obviously have Qf g max f g, P f g P f g For this case proof of the theorem is complete P f P g f g, ad the + ɛ We do ot kow if the scalig dow projectio i L p 0,, < p < has miimal Lipschitz orm The proof we gave for the case where p does ot geeralize I the ext theorem, we give a estimate from below of the orm of the scalig dow projectio i L p 0, for < p < We observe that this estimate goes to as p ad goes to as p Theorem 36 The Lipschitz orm of the scalig dow projectio i L p 0,, < p < is greater tha or eual to p p p + p p where is arbitrary such that < p < Proof Take fx + ɛ o [0, ] Let h P f, the h o [0, ] Defie the fuctio g as follows, + ɛ o A [0, ], ma p gx δ o A c where δ is such that g p We have g p which implies + ɛ p p + δ p p So we get δ ɛ p p Where we used the approximatio + ɛ p + ɛp ad δ p δp, the error

17 3 beig of order of magitude ɛ ad δ, respectively We get g f p p ɛ + ɛ p p p p, ad p g h p p ɛ p p ɛ p + p p Therefore g h p p g f p p ɛ p ɛ p p + p ɛ + ɛ p p p p p p p + p p p p p p p p + p p p p p p p p p + p p By choosig large, we get that as p, the expressio above goes to Ad by lettig, the expressio above goes to as p

18 CHAPTER 4 SCALING DOWN MAPS BETWEEN Sl AND Sl I this chapter, we study scalig dow maps betwee the uit spheres of l ad l These are, i a sese, the simplest possible maps betwee these uit spheres ad have the property that both the map ad its iverse are earest poit maps We show that the Lipschitz orms of these maps are of the order of magitude, so the Baach-Mazur orm, as defied below, is of the order of magitude This should be compared to the simplest possible liear maps where the Baach-Mazur orm is We start with some defiitios Let X, d, Y, d be metric spaces ad let M X, N Y Defiitio A map T : M N is called a Lipschitz map if there is a costat C such that 4 d T x, T y Cd x, y for all x, y M The smallest costat C that satisfies 4 is called the Lipschitz orm of T, ad is deoted by T It s easy to see that T sup x,y M d T x, T y d x, y Defiitio If T : M N is a oe-to-oe ad oto Lipschitz map, ad T is also Lipschitz, we defie the Baach-Mazur orm of T as T T 4

19 5 Theorem 4 If T is the scalig dow map from Sl to Sl the T d T x, T y Proof We eed to show that T sup, where x ad y are poits x,y d x, y o the uit sphere of l Let d deote the distace i l ad d deote the distace i l Take x, 0 ad y 0, The d x, y ad d T x, T y d x, y Which implies T To show that T, we show that d T x, T y d x, y 0, There are four cases to cosider: wheever x, 0 ad y x, a, y b,, 0 a, b, a b x, a, y b,, 0 a, b 3 x, a, y b,, 0 a, b, a b 4 x, a, y, b, 0 a, b, a b We show that if x ad y satisfy ay of the four cases above, the d T x, T y d x, y Case x, a, y b,, 0 a, b, a b This gives Thus d T x, T y d x, y a T x, a + a + a, a + a T y b b, + b + b, + b + a b + + b + b a + a a + a + b + b ab + a + b

20 6 So d T x, T y d x, y ab a + b Case x, a, y b,, 0 a, b This gives Thus So d x, y + a T x, a + a T y b, + b d T x, T y + a, a + a b + b, + b + a b + b + + b + a + a + a + a + b + b + b d T x, T y d x, y + a + b Case 3 x, a, y b,, 0 a, b, a b This gives Thus d x, y + b T x, a + a T y b, + b d T x, T y + a, a + a b + b, + b + a + b + b + + b + a + a

21 7 So d T x, T y d x, y + b Case 4 x, a, y, b, 0 a, b, a b This gives Thus T x, a + a T y, b + b d T x, T y d x, y a b + a, a + a + b, b + b + a + b + b + b a + a a b + a b a b So d T x, T y d x, y Cases through 4 show that T This proves Theorem 4 Theorem 4 If T is the scalig dow map from Sl to Sl, 3, the T Proof We start by showig that T Take x,, ad y, a,, a,, a a, where a is a large positive umber This gives d x, y a

22 8 T x T y a, a + a a +, a,, a,, a a So Thus d T x, T y a a + d T x, T y d x, y a + a a + a a + a as a a + So T sup x,y d T x, T y d x, y Now we eed to show that T To do that, take two poits x ad y o the uit sphere of l Let x a, a,, a, a i for i,, ad a i for some i, ad y b, b,, b, b i for i,, ad b i for some i Here d x, y max a i b i i Let a i A ad b i B, the i i a T x A, a A, a A b T y B, b B, b B Thus d T x, T y a A b B + a A b B + + a A b B a i A b i B i

23 9 Notice that So Now a i A b i B a i A b i B i a i B b i A AB a i B b i B + b i B b i A AB a i B b i B + b i B A AB a i b i A i i i B A a i b i A a i b i A a i b i A + b ib A AB i i b i B A AB b i B A AB B A A b i a i i bi a i i Claim: b i a i a i b i Proof a i b i a i b i ad b i a i b i a i Therefore a i b i a i b i So B A This gives a i b i i d T x, T y a i A b i B i a i b i A i max i a i b i

24 0 So d T x, T y d x, y This gives T Theorem 43 If T is the scalig dow map from Sl to Sl,, the T Proof We start by showig that T To do this, we show that if x,y sphere of l To show that if x,y the uit sphere of l satisfyig d T x, T y d x, y Take x,,, d T x, T y where x ad y are poit o the uit d x, y d T x, T y, we eed to fid poits x ad y o d x, y ad y, δ, δ,, δ, where δ i 0, i,, Assume δ i < δ < δ i i, i This gives d x, y δ T x,,,, Let k δ i i T y, δ,, δ δ i i

25 The d T x, T y k + δ k δ + + k k + + δ k k i δ i Notice that Now So We get i k δ i k + + k i k This gives d T x, T y k + k + i δ i i δ i + i δ i δ i d T x, T y δ i + i + d T x, T y d x, y i δ i + δ + δ δ δ + + for large

26 So if x,y d T x, T y d x, y This gives T To show that T, take two poits x, x o the uit sphere of l such that x x a, where 0 < a < Let T x y ad T x y We kow that x is o the uit sphere of l, so x, which implies that x Now y c x for some costat c, which implies y c x, we get c x, which implies c sice x Similarly y c x with c Suppose c c ad cosider the poits z c y ad z c y By Theorem 33: x x, which implies z z a z z sice x x a But z z y y y y c c c Thus y y c z z a c So y y a c So y y x x c sice c This gives T Theorem 44 The Baach-Mazur orm of the scalig dow map from Sl to Sl is greater tha or eual to 4 ad less tha or eual to 8 Proof Let T be the scalig dow map from Sl to Sl I Theorem4, we showed that T I Theorem43, we showed that T 4 So 4 T T 8

27 3 Theorem 45 The Baach-Mazur orm of the scalig dow map from Sl to Sl is greater tha or eual to ad less tha or eual to 4 Proof Let T be the scalig dow projectio from Sl to Sl I Theorem4, we showed that T I Theorem43, we showed that T So T T 4

28 CHAPTER 5 SCALING DOWN MAPS BETWEEN Sl AND Sl I this chapter, we do a similar study as i chapter four, but comparig istead l ad l Theorem 5 If T is the scalig dow map from Sl to Sl, the T d T x, T y Proof We eed to show that T sup, where x ad y are x,y d x, y poits o the uit sphere of l Here, d deotes the distace i l ad d deote the distace i l Take x, 0 ad y 0, The d x, y ad d T x, T y d x, y So d T x, T y This gives T To show that T d x, y d T x, T y, we show that wheever x, 0 ad y 0, There are d x, y five cases to cosider: x, a, y b,, 0 a, b, a b x, a, y b,, 0 a, b 3 x, a, y b,, 0 a, b, a b 4 x, a, y, b, 0 a, 0 b, a b 5 x, a, y, b, 0 a, 0 b, a b Case x, a, y b,, 0 a, b, a b This gives d x, y a T x, a + a 4

29 5 Thus d T x, T y T y b, + b b + a + a + b + b + a + a b + a + b + b + b + + b a + a + b + a + a a + b + a + b a + b + a + b So d T x, T y a + b + a + b To show that d T x, T y, we eed to show that d x, y a + b a for 0 a, b, a b Notice that + a + b a + b + a + b is largest whe a b So a + b + a + b a + a a + a a So d T x, T y d x, y a a

30 6 Case x, a, y b,, 0 a, b This gives T x d x, y + a T y, a + a b, + b Thus d T x, T y b + + a + a + b + b + a + a b + a + b + b + b + + b a + + a + b + a + a a b + + a + b a b + + a + b So d T x, T y + a b + a + b To show that d T x, T y, we eed to show that d x, y a b + + a for 0 a, b + a + b Notice that So + + a b + a + b is largest whe b 0 a b + a + b a + + a + a

31 7 Thus d T x, T y d x, y + a + a Case 3 x, a, y b,, 0 a, b, a b This gives T x T y d x, y + b, a + a b, + b So d T x, T y + b + + a + a + b + b + a + a + b + a + b + b + b + + b a + + a + b + a + a a + b + + a + b a + b + + a + b So d T x, T y + a + b + a + b To show that d T x, T y, we eed to show that d x, y a + b + + a + b + b Notice that + a + b + a + b is largest whe a b

32 8 So + a + b + a + b + b + b + b + b + b Thus d T x, T y d x, y Case 4 x, a, y, b, 0 a, 0 b, a b This gives d x, y a + b T x T y, a + a, b + b So d T x, T y a + + b + a + b + a + b ab + a + b ab + a + b To show that d T x, T y d x, y, we eed to show that ab + a + b a + b Notice that ab + a + b ab + b sice a b b + ab + b ba + b + b a + b

33 9 Thus d T x, T y d x, y Case 5 x, a, y, b, 0 a, 0 b, a b This gives d x, y b a T x T y, a + a, b + b So d T x, T y a + b + a + b + a + b + ab + a + b + ab + a + b To show that d T x, T y + ab, we eed to show that d x, y + a + b b a + ab + a + b b a b a + ab + a + b b a + b a 4 + ab + a b + a + b b a + b a 4 + a + b + ab + a b + a + b + a b b a + b a 4 + ab + a b + a + b + a b b a + a + b + a b + b a 4 + a + b + a b + ab + a b a ab + b b a + a + b + a b b a 4 + a + b + a b Here, a ab + b b a, divide both sides of the last ieuality by b a, we

34 30 get + a + b + a b b a + a + b + a b b a + a + b + a b This ieuality holds which implies that the ieuality + ab + a + b b a also holds So d T x, T y d x, y Cases through 5 show that T This proves Theorem 5 Theorem 5 If T is the scalig dow map from Sl to Sl, 3, the T Proof We start by showig that T Take x,,,, a a ad y,,,, a a where a is a large positive umber This gives d x, y a T x, a + a T y, a + a sice x y + a a,, a,,, a, a a + a

35 3 So d T x, T y + a + a + a + a + Thus So T sup x,y d T x, T y d x, y d T x, T y d x, y a a + a a + as a Now we eed to show that T To do this, take two poits x ad y o Sl Let x a, a,, a, a i for i,, ad a i for some i, ad y b, b,, b, b i for i,, ad b i for some i Here d x, y max a i b i Let a i A ad b i B, the i i i a T x A, a A, a b ad T y A B, b B, b B [ ai Thus d T x, T y A b ] i B i [ ] ai B b i A AB i [ ] ai b i B + b i B A AB i [ ai b i A + b ] ib A AB i [ ] ai b i + b i B A, here we used the A A B i ieuality a + b a + b for ay two real umbers a ad b

36 3 [ i [ i [ i a i b i + b A i i a i b i A + a i b i A + B A A B A ] a i b i i B A b i a i i i A A B ] ], sice Take the suare root of both sides of the euality above, we get B A b i a i i i y x But y x x y a i b i i Thus B A a i b i i This gives B A So So a i b i i d T x, T y a i b i i A a i b i d T x, T y d x, y i max i a i b i max i a i b i

37 33 This gives T Theorem 53 If T is the scalig dow map from Sl to Sl,, the Proof We first show that T T d T x, T y To do this, we show that if where x ad y are poits o the x,y d x, y uit sphere of l d T x, T y To show that if, we eed to fid poits x,y d x, y x ad y o the uit sphere of l satisfyig d T x, T y d x, y Take x,,, ad y, δ,, δ, where δ 0 The d x, y δ T x,, T y, δ,, δ + δ Which gives d T x, T y + δ + δ + δ To see what d d approaches, we will use the followig approximatios: + δ + δ + δ + δ + δ δ δ δ δ,

38 34 this follows from the above approximatio for + δ Now δ δ + δ δ δ + δ δ δ, agai this follows from the above approximatio for + δ Now δ δ δ δ δ + δ δ + δ δ This gives d T x, T y δ + 3 δ + 3 δ δ δ δ

39 35 Recall that d x, y δ, which implies that d T x, T y d x, y So d T x, T y d x, y So if x,y d T x, T y d x, y This gives T To show that T, take two poits x, x o the uit sphere of l such that x x a, where 0 < a < Let T x y, ad T x y We kow that x is o the uit sphere of l, so x, which implies that x Now y c x for some costat c, which implies y c x, we get c x sice y is o the uit sphere of l Which implies c sice x Similarly y c x with c Suppose c c ad cosider the poits z y ad z y By Theorem 33, x x So z z a c c z z sice x x a But z z y y c c y y Thus y y c c z z a c So y y a c So y y c x x sice c This gives T Theorem 54 The Baach-Mazur orm of the scalig dow map from Sl to Sl is greater tha or eual to ad less tha or eual to 4 Proof Let T be the scalig dow map from Sl to Sl I Theorem5, we showed that T I Theorem53, we showed that T So T T 4

40 36 Theorem 55 The Baach-Mazur orm of the scalig dow map from Sl to Sl, 3 is greater tha or eual to ad less tha or eual to Proof Let T be the scalig dow map from Sl to Sl, 3 I Theorem5, we showed that T I Theorem53, we showed that T So T T

41 CHAPTER 6 SCALING DOWN MAPS BETWEEN Sl AND Sl as I this chapter, we do a similar study as i chapters four ad five, but comparig istead l ad l as We start with some defiitios Let X, d, Y, d be metric spaces ad let M X, N Y Defiitio Give x 0 X Defie B ɛ x 0 {x X : d x 0, x < ɛ} Defiitio A map T : M N is called locally Lipschitz at x 0 if T is Lipschitz o B ɛ x 0 for some ɛ > 0 Defiitio Give a locally Lipschitz map T : M N at x 0 Defie, T ɛ,x0 sup x,y B ɛ x 0 d T x, T y d x, y Defiitio The local Lipschitz orm at x o of a locally Lipschitz map T : M N at x 0, deoted by T loc x0, is T loc x0 lim ɛ 0 T ɛ,x0 Defiitio If T : M N is oe to oe ad oto ad locally Lipschitz at x 0, ad if T is also locally Lipschitz at T x 0, we defie the local Baach-Mazur orm of T 37

42 38 at x 0 as T loc x0 T loc T x0 Theorem 6 If T is the scalig dow map from Sl Sl,, the lim T T Proof We first prove the theorem i dimesio i order to itroduce the techiue that will be used ad the move to higher dimesios Let T : Sl Sl be the scalig dow map We show that: lim T lim T We will start with Take x, 0 ad y 0, The d x, y, ad d T x, T y d x, y d T x, T y So So T This gives lim T d x, y Take x, ad y, δ, where δ a, 0 < a < The d x, y δ T x t,, 0 < t < such that t + t This gives t So T x, Similarly T y s, δ, 0 < s < such that s + s, δ

43 39 This gives s So T y + δ, + δ Thus d T x, T y δ + δ [ ] + + δ [ δ + δ To see what d d approaches as, we will use few approximatios As oted earlier, δ a, 0 < a < ] So d T x, T y + a + a + a d We are iterested i lim d Note that: lim + a + ea e a + e a lim So d a + a e a [ e a e a + e a e a + e a + ] + [ ] e a + [ l e a e a + l ] + [ l l e a + ] Where we used the fact that l + b b, i other words lb b for small b

44 40 So d This gives d Now we use the fact that [ l e a e a + l ] [ + l ] l e a + [ ] [ ] l ea + l ea + e a + [ ] [ ] l ea + l ea + e a + We eed to fid a such that: To do that we eed to solve e a e a + ea + 4e a e a + 4e a e a + e a + e a e a + 0 e a 0 lim a + a max{a, a } l ea e a + l ea + e a e a + ea + for a a 0 So l ea e a + l ea + whe a is small So for small a, d l ea + Note that l ea + l a +, here we used the fact that ea a + So, l ea + l a + a l + a, usig the fact that lb + b for small b So d a

45 4 Thus d d a a This gives lim T Thus lim T T This proves the theorem for dimesio Next, we will prove the theorem i dimesio Let T : Sl Sl be the scalig dow map We will show that: lim T lim T We will start with Take x, 0,, 0 ad y 0,, 0, The d x, y ad d T x, T y d x, y Thus T This gives lim T Take x,, ad y, δ, δ,, δ where δ a, 0 < a < The d x, y δ T x t,,, 0 < t < such that t + + t This gives t So T x,, Similarly T y s, δ,, δ, 0 < s < such that s + s δ + + s δ [ ] This gives s + δ + + δ

46 4 Let A + δ + + δ δ δ The T y,,, A A A We eed to fid d T x, T y [ d T x, T y A + [ δ A ] + ] [ δ A ] + To see what d approaches as, we use few approximatios As oted earlier, d δ a, 0 < a < We get: lim δ lim a e a lim δ lim a e a lim A + e + + [ a e a e a So d + e a + + e a [ + + [ Let B + e a + + e a e a + e a + + e a ] e a + e a + + e a + e a + + e a ] + ] So d [ e a B ] + [ ] e a + B + [ B ]

47 43 So d [ l e a B l ] + [ l ] e a l + B + [ l l B ] Where we used the fact that lb b for small b So d [ l e a B ] [ ] [ B + l + + l B ] e a d To fid lim, we use the fact that d lim a + a + + a max i {a i} All the terms iside the parethesis of the expressio for d are approximately eual whe a is small So d l B l + ea + + e a + + a a l Where we used the fact that e b + b for small b So a d + l l + a a, usig the fact that l + b b for small b

48 44 Fially This gives Therefore d a d a lim T lim T T Defiitio A poit x Sl is a smooth poit if oe coordiate of x is ad the other coordiates have absolute value < I Theorem 6, we will prove that if we ca cosider poits that are smooth o the uit sphere of l, the locally aroud those poits we will have lim T loc T loc Theorem 6 If T : Sl Sl is the scalig dow map, the for every smooth poit x i Sl, we have lim T loc x T loc T x Proof We first prove the theorem i dimesio Let T : Sl Sl be the scalig dow map Take x, δ ad y, δ γ where 0 < δ < is fixed ad γ 0 as We show that lim T loc x T loc T x For the poits x, y, we have d x, y γ Ad T x t, δ, 0 < t < such that t + t δ This gives t + δ δ Thus T x, + δ + δ

49 45 Similarly T y s, δ γ, 0 < s < such that s + s δ γ This gives s + δ γ Thus T y + δ γ, We eed to fid a estimate for d as d We have d γ, we eed to fid d d T x, T y [ + δ [ δ + + δ δ γ + δ γ + δ γ δ γ + δ γ ] ] To see what d approaches as, we make some observatios d Note that δ 0 as sice 0 < δ < Similarly δ γ 0 as So + δ Hece [ + δ as Ad as + δ γ ] 0 as + δ γ This gives a estimate for the first term i d We eed to fid a estimate for the [ ] δ δ γ term + δ + δ γ Note that Similarly δ + δ δ γ + δ γ δ + δ δ γ δ as + δ γ δ γ as Fially, we have d [ δ δ γ] γ as

50 46 So d T x, T y γ So d T x, T y d x, y γ γ Fially lim T loc x T loc T x This proves the theorem for dimesio Next, we will prove the theorem i dimesio Let T : Sl Sl be the scalig dow map Take x, δ,, δ, ad y, δ γ,, δ γ, where 0 < δ i <, i are fixed ad γ i 0 as for i For the poits x, y, we have, d x, y max {γ i} i To fid d, we eed to fid T x ad T y T x t, δ,, δ, 0 < t < such that t + t δ + + t δ This gives t + δ + + δ Put K + δ + + δ δ δ Thus T x,,, K K K Similarly T y s, δ γ,, δ γ, 0 < s < such that s + s δ γ + + s δ γ This gives s + δ γ + + δ γ Put M + δ γ + + δ γ

51 47 Thus T y M, δ γ M,, δ γ M We eed to fid a estimate for d as We have d max d {γ i}, we eed to i fid d d T x, T y [ M K ] + [ δ K δ γ M ] + + [ δ K δ γ M ] To see what d d approaches as, we make some observatios: lim + δ + + δ sice 0 < δi < for all i lim + δ γ + + δ γ 0 < δ i, γ i < for i δi lim lim δ i lim K δi γ i lim M lim δ i γ i lim From these observatios, we get that d γ + + γ as So d [ γ + + γ ] Which implies d sice δi, i K δi γ i, i M max {γ i} as i So d T x, T y d x, y Fially lim T loc x T loc T x

52 CHAPTER 7 CONCLUSION AND FUTURE PROJECTS The ivestigatios ad results i this thesis provide a opeig for further research, which we will briefly discuss here For the projectios oto the uit ball ivestigated i Chapter three, it is atural to ask whether the assumptio that outside poits be projected oto the uit sphere ca be removed The followig example i the Euclidea plae shows that projectios which do ot map outside poits to the boudary ca have as small Lipschitz orm as those which do Example: For each α, 0 α, cosider the followig projectio oto the lower half-plae i R For y 0, P α x, y x, αy For y < 0, P α x, y x, y It is easy to see that P α, but oly for α 0 does P α map outside poits to the boudary Theorem 36 estimates the orm of the scalig dow projectio oto the uit ball for < p < It is atural to cojecture that for < p, the scalig dow projectio is the projectio oto the uit ball of L p with miimal Lipschitz orm However, the proof of Theorem 34 which gives the result for p does ot geeralize i ay simple way For < p < we do ot have a cojecture about what is the projectio oto the uit ball i L p with miimal Lipschitz orm For p, it is ot the scalig dow projectio Sice L 0, is a subspace of L ad l, theorem 34 gives that the scalig dow projectio i L ad l has orm, but the trucatio projectio has orm I Chapters four, five, ad six, the Baach-Mazur orm of the scalig dow map 48

53 49 betwee the uit spheres of l ad l is estimated to a exact order of magitude The problem about the order of magitude of the Baach-Mazur distace betwee these uit spheres remais ope For the liear case it is easy to see that the Baach- Mazur orm of the idetity map betwee l ad l is exactly But it is well kow that the Baach-Mazur distace betwee l ad l is of the order of magitude I this dissertatio we have limited the ivestigatios to the most classical Baach spaces It should be a iterestig task to study the correspodig problems for other Baach spaces as well as for other topological liear spaces like the L p -spaces where 0 < p <

54 BIBLIOGRAPHY [] Beauzamy, B, Maurey, B Poits miimaux et esembles optimaux das les espaces de Baach J Fuctioal Aalysis 4 977, o, [] Lidestrauss, J, Szakowski, A O the Baach-Mazur distace betwee spaces havig a ucoditioal basis Aspects of positivity i fuctioal aalysis J Tubige, 985, 9-36, North-Hollad Math Stud,, North-Hollad, Amsterdam, 986 [3] Tomczak-Jaegerma, N The Baach-Mazur distace betwee symmetric spaces Israel Joural of Mathematics, v 46 issue -, 983, p [4] Sachez Perez, E A A estimate of the Baach-Mazur distaces betwee Hilbert spaces ad Baach spaces Redicoti del Circolo Matematico di Palermo Serie II, v 46 issue 3, 997, p [5] Giaopoulos, A A A ote o the Baach-Mazur distace to the cubeeglish summary Geometric aspects of fuctioal aalysis Israel, , 67 73, Oper Theory Adv Appl, 77, Birkhuser, Basel, 995 [6] Lovblom, G Uiform homeomorphisms betwee the uit balls i L p ad l p Proceedigs of the America Mathematical Society, v 3 issue, 995, p [7] Lovblom, G Uiform homeomorphisms betwee uit balls i L p -spaces Mathematica Scadiavica, v 6 issue, 988, p [8] Larsso, J Sets of miimal poits i L p 0, Mathematica Scadiavica, v 63 issue, 988, p 5-68 [9] Beyamii, Y, Lidestrauss, J Geometric oliear fuctioal aalysis Vol Eglish summary America Mathematical Society Collouium Publicatios, 48 America Mathematical Society, Providece, RI, 000 xii+488 pp ISBN: [0] Beyamii, Y Spheres i ifiite-dimesioal ormed spaces are Lipschitz cotractible Proceedigs of the America Mathematical Society, v 88 issue 3, 983, p [] Beyamii, Y Noexpasive selectios of metric projectios i spaces of cotiuous fuctios Joural of Approximatio Theory, v 37 issue, 005, p

55 5 [] Mazur, S Ue remarue sur l homomorphie des champs foctioels Stud Math, [3] Morris, P D Chebyshev subspaces of L p 0, with liear metric projectio Joural of Approximatio Theory, v 9 issue 3, 980, p 3-34 [4] Noll, D Directioal differetiability of the metric projectio i Hilbert space Pacific J Math Volume 70, Number 995, [5] Wheede, R, Zygmud, A Measure ad Itegral Moographs ad Textbooks i Pure ad Applied Mathematics 977 [6] Meggiso, R A Itroductio to Baach Space Theory Graduate Texts i Mathematics 99 [7] Rudi, W Fuctioal Aalysis, Secod Editio Iteratioal Series i Pure ad Applied Mathematics 99

Equivalent Banach Operator Ideal Norms 1

Equivalent Banach Operator Ideal Norms 1 It. Joural of Math. Aalysis, Vol. 6, 2012, o. 1, 19-27 Equivalet Baach Operator Ideal Norms 1 Musudi Sammy Chuka Uiversity College P.O. Box 109-60400, Keya sammusudi@yahoo.com Shem Aywa Maside Muliro Uiversity

More information

Math Solutions to homework 6

Math Solutions to homework 6 Math 175 - Solutios to homework 6 Cédric De Groote November 16, 2017 Problem 1 (8.11 i the book): Let K be a compact Hermitia operator o a Hilbert space H ad let the kerel of K be {0}. Show that there

More information

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4. 4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad

More information

2 Banach spaces and Hilbert spaces

2 Banach spaces and Hilbert spaces 2 Baach spaces ad Hilbert spaces Tryig to do aalysis i the ratioal umbers is difficult for example cosider the set {x Q : x 2 2}. This set is o-empty ad bouded above but does ot have a least upper boud

More information

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3 MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special

More information

Generalization of Contraction Principle on G-Metric Spaces

Generalization of Contraction Principle on G-Metric Spaces Global Joural of Pure ad Applied Mathematics. ISSN 0973-1768 Volume 14, Number 9 2018), pp. 1159-1165 Research Idia Publicatios http://www.ripublicatio.com Geeralizatio of Cotractio Priciple o G-Metric

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

Solutions to home assignments (sketches)

Solutions to home assignments (sketches) Matematiska Istitutioe Peter Kumli 26th May 2004 TMA401 Fuctioal Aalysis MAN670 Applied Fuctioal Aalysis 4th quarter 2003/2004 All documet cocerig the course ca be foud o the course home page: http://www.math.chalmers.se/math/grudutb/cth/tma401/

More information

ON MEAN ERGODIC CONVERGENCE IN THE CALKIN ALGEBRAS

ON MEAN ERGODIC CONVERGENCE IN THE CALKIN ALGEBRAS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX0000-0 ON MEAN ERGODIC CONVERGENCE IN THE CALKIN ALGEBRAS MARCH T. BOEDIHARDJO AND WILLIAM B. JOHNSON 2

More information

Sequences and Series of Functions

Sequences and Series of Functions Chapter 6 Sequeces ad Series of Fuctios 6.1. Covergece of a Sequece of Fuctios Poitwise Covergece. Defiitio 6.1. Let, for each N, fuctio f : A R be defied. If, for each x A, the sequece (f (x)) coverges

More information

On Weak and Strong Convergence Theorems for a Finite Family of Nonself I-asymptotically Nonexpansive Mappings

On Weak and Strong Convergence Theorems for a Finite Family of Nonself I-asymptotically Nonexpansive Mappings Mathematica Moravica Vol. 19-2 2015, 49 64 O Weak ad Strog Covergece Theorems for a Fiite Family of Noself I-asymptotically Noexpasive Mappigs Birol Güdüz ad Sezgi Akbulut Abstract. We prove the weak ad

More information

f n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that

f n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that Lecture 15 We have see that a sequece of cotiuous fuctios which is uiformly coverget produces a limit fuctio which is also cotiuous. We shall stregthe this result ow. Theorem 1 Let f : X R or (C) be a

More information

SOME SEQUENCE SPACES DEFINED BY ORLICZ FUNCTIONS

SOME SEQUENCE SPACES DEFINED BY ORLICZ FUNCTIONS ARCHIVU ATHEATICU BRNO Tomus 40 2004, 33 40 SOE SEQUENCE SPACES DEFINED BY ORLICZ FUNCTIONS E. SAVAŞ AND R. SAVAŞ Abstract. I this paper we itroduce a ew cocept of λ-strog covergece with respect to a Orlicz

More information

Math 451: Euclidean and Non-Euclidean Geometry MWF 3pm, Gasson 204 Homework 3 Solutions

Math 451: Euclidean and Non-Euclidean Geometry MWF 3pm, Gasson 204 Homework 3 Solutions Math 451: Euclidea ad No-Euclidea Geometry MWF 3pm, Gasso 204 Homework 3 Solutios Exercises from 1.4 ad 1.5 of the otes: 4.3, 4.10, 4.12, 4.14, 4.15, 5.3, 5.4, 5.5 Exercise 4.3. Explai why Hp, q) = {x

More information

lim za n n = z lim a n n.

lim za n n = z lim a n n. Lecture 6 Sequeces ad Series Defiitio 1 By a sequece i a set A, we mea a mappig f : N A. It is customary to deote a sequece f by {s } where, s := f(). A sequece {z } of (complex) umbers is said to be coverget

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

A remark on p-summing norms of operators

A remark on p-summing norms of operators A remark o p-summig orms of operators Artem Zvavitch Abstract. I this paper we improve a result of W. B. Johso ad G. Schechtma by provig that the p-summig orm of ay operator with -dimesioal domai ca be

More information

Homework 4. x n x X = f(x n x) +

Homework 4. x n x X = f(x n x) + Homework 4 1. Let X ad Y be ormed spaces, T B(X, Y ) ad {x } a sequece i X. If x x weakly, show that T x T x weakly. Solutio: We eed to show that g(t x) g(t x) g Y. It suffices to do this whe g Y = 1.

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

1+x 1 + α+x. x = 2(α x2 ) 1+x

1+x 1 + α+x. x = 2(α x2 ) 1+x Math 2030 Homework 6 Solutios # [Problem 5] For coveiece we let α lim sup a ad β lim sup b. Without loss of geerality let us assume that α β. If α the by assumptio β < so i this case α + β. By Theorem

More information

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS EDUARD KONTOROVICH Abstract. I this work we uify ad geeralize some results about chaos ad sesitivity. Date: March 1, 005. 1 1. Symbolic Dyamics Defiitio

More information

Convergence of random variables. (telegram style notes) P.J.C. Spreij

Convergence of random variables. (telegram style notes) P.J.C. Spreij Covergece of radom variables (telegram style otes).j.c. Spreij this versio: September 6, 2005 Itroductio As we kow, radom variables are by defiitio measurable fuctios o some uderlyig measurable space

More information

INEQUALITIES BJORN POONEN

INEQUALITIES BJORN POONEN INEQUALITIES BJORN POONEN 1 The AM-GM iequality The most basic arithmetic mea-geometric mea (AM-GM) iequality states simply that if x ad y are oegative real umbers, the (x + y)/2 xy, with equality if ad

More information

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

More information

Common Coupled Fixed Point of Mappings Satisfying Rational Inequalities in Ordered Complex Valued Generalized Metric Spaces

Common Coupled Fixed Point of Mappings Satisfying Rational Inequalities in Ordered Complex Valued Generalized Metric Spaces IOSR Joural of Mathematics (IOSR-JM) e-issn: 78-578, p-issn:319-765x Volume 10, Issue 3 Ver II (May-Ju 014), PP 69-77 Commo Coupled Fixed Poit of Mappigs Satisfyig Ratioal Iequalities i Ordered Complex

More information

Research Article Approximate Riesz Algebra-Valued Derivations

Research Article Approximate Riesz Algebra-Valued Derivations Abstract ad Applied Aalysis Volume 2012, Article ID 240258, 5 pages doi:10.1155/2012/240258 Research Article Approximate Riesz Algebra-Valued Derivatios Faruk Polat Departmet of Mathematics, Faculty of

More information

Analytic Continuation

Analytic Continuation Aalytic Cotiuatio The stadard example of this is give by Example Let h (z) = 1 + z + z 2 + z 3 +... kow to coverge oly for z < 1. I fact h (z) = 1/ (1 z) for such z. Yet H (z) = 1/ (1 z) is defied for

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

PRELIM PROBLEM SOLUTIONS

PRELIM PROBLEM SOLUTIONS PRELIM PROBLEM SOLUTIONS THE GRAD STUDENTS + KEN Cotets. Complex Aalysis Practice Problems 2. 2. Real Aalysis Practice Problems 2. 4 3. Algebra Practice Problems 2. 8. Complex Aalysis Practice Problems

More information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

More information

Lecture 3 : Random variables and their distributions

Lecture 3 : Random variables and their distributions Lecture 3 : Radom variables ad their distributios 3.1 Radom variables Let (Ω, F) ad (S, S) be two measurable spaces. A map X : Ω S is measurable or a radom variable (deoted r.v.) if X 1 (A) {ω : X(ω) A}

More information

A Proof of Birkhoff s Ergodic Theorem

A Proof of Birkhoff s Ergodic Theorem A Proof of Birkhoff s Ergodic Theorem Joseph Hora September 2, 205 Itroductio I Fall 203, I was learig the basics of ergodic theory, ad I came across this theorem. Oe of my supervisors, Athoy Quas, showed

More information

MATH 413 FINAL EXAM. f(x) f(y) M x y. x + 1 n

MATH 413 FINAL EXAM. f(x) f(y) M x y. x + 1 n MATH 43 FINAL EXAM Math 43 fial exam, 3 May 28. The exam starts at 9: am ad you have 5 miutes. No textbooks or calculators may be used durig the exam. This exam is prited o both sides of the paper. Good

More information

CHAPTER I: Vector Spaces

CHAPTER I: Vector Spaces CHAPTER I: Vector Spaces Sectio 1: Itroductio ad Examples This first chapter is largely a review of topics you probably saw i your liear algebra course. So why cover it? (1) Not everyoe remembers everythig

More information

Minimal surface area position of a convex body is not always an M-position

Minimal surface area position of a convex body is not always an M-position Miimal surface area positio of a covex body is ot always a M-positio Christos Saroglou Abstract Milma proved that there exists a absolute costat C > 0 such that, for every covex body i R there exists a

More information

Math 299 Supplement: Real Analysis Nov 2013

Math 299 Supplement: Real Analysis Nov 2013 Math 299 Supplemet: Real Aalysis Nov 203 Algebra Axioms. I Real Aalysis, we work withi the axiomatic system of real umbers: the set R alog with the additio ad multiplicatio operatios +,, ad the iequality

More information

s = and t = with C ij = A i B j F. (i) Note that cs = M and so ca i µ(a i ) I E (cs) = = c a i µ(a i ) = ci E (s). (ii) Note that s + t = M and so

s = and t = with C ij = A i B j F. (i) Note that cs = M and so ca i µ(a i ) I E (cs) = = c a i µ(a i ) = ci E (s). (ii) Note that s + t = M and so 3 From the otes we see that the parts of Theorem 4. that cocer us are: Let s ad t be two simple o-egative F-measurable fuctios o X, F, µ ad E, F F. The i I E cs ci E s for all c R, ii I E s + t I E s +

More information

MATH 10550, EXAM 3 SOLUTIONS

MATH 10550, EXAM 3 SOLUTIONS MATH 155, EXAM 3 SOLUTIONS 1. I fidig a approximate solutio to the equatio x 3 +x 4 = usig Newto s method with iitial approximatio x 1 = 1, what is x? Solutio. Recall that x +1 = x f(x ) f (x ). Hece,

More information

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and MATH01 Real Aalysis (2008 Fall) Tutorial Note #7 Sequece ad Series of fuctio 1: Poitwise Covergece ad Uiform Covergece Part I: Poitwise Covergece Defiitio of poitwise covergece: A sequece of fuctios f

More information

Approximation by Superpositions of a Sigmoidal Function

Approximation by Superpositions of a Sigmoidal Function Zeitschrift für Aalysis ud ihre Aweduge Joural for Aalysis ad its Applicatios Volume 22 (2003, No. 2, 463 470 Approximatio by Superpositios of a Sigmoidal Fuctio G. Lewicki ad G. Mario Abstract. We geeralize

More information

Assignment 5: Solutions

Assignment 5: Solutions McGill Uiversity Departmet of Mathematics ad Statistics MATH 54 Aalysis, Fall 05 Assigmet 5: Solutios. Let y be a ubouded sequece of positive umbers satisfyig y + > y for all N. Let x be aother sequece

More information

Notes #3 Sequences Limit Theorems Monotone and Subsequences Bolzano-WeierstraßTheorem Limsup & Liminf of Sequences Cauchy Sequences and Completeness

Notes #3 Sequences Limit Theorems Monotone and Subsequences Bolzano-WeierstraßTheorem Limsup & Liminf of Sequences Cauchy Sequences and Completeness Notes #3 Sequeces Limit Theorems Mootoe ad Subsequeces Bolzao-WeierstraßTheorem Limsup & Limif of Sequeces Cauchy Sequeces ad Completeess This sectio of otes focuses o some of the basics of sequeces of

More information

Fall 2013 MTH431/531 Real analysis Section Notes

Fall 2013 MTH431/531 Real analysis Section Notes Fall 013 MTH431/531 Real aalysis Sectio 8.1-8. Notes Yi Su 013.11.1 1. Defiitio of uiform covergece. We look at a sequece of fuctios f (x) ad study the coverget property. Notice we have two parameters

More information

Exponential Functions and Taylor Series

Exponential Functions and Taylor Series MATH 4530: Aalysis Oe Expoetial Fuctios ad Taylor Series James K. Peterso Departmet of Biological Scieces ad Departmet of Mathematical Scieces Clemso Uiversity March 29, 2017 MATH 4530: Aalysis Oe Outlie

More information

Riesz-Fischer Sequences and Lower Frame Bounds

Riesz-Fischer Sequences and Lower Frame Bounds Zeitschrift für Aalysis ud ihre Aweduge Joural for Aalysis ad its Applicatios Volume 1 (00), No., 305 314 Riesz-Fischer Sequeces ad Lower Frame Bouds P. Casazza, O. Christese, S. Li ad A. Lider Abstract.

More information

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number MATH 532 Itegrable Fuctios Dr. Neal, WKU We ow shall defie what it meas for a measurable fuctio to be itegrable, show that all itegral properties of simple fuctios still hold, ad the give some coditios

More information

ON THE FUZZY METRIC SPACES

ON THE FUZZY METRIC SPACES The Joural of Mathematics ad Computer Sciece Available olie at http://www.tjmcs.com The Joural of Mathematics ad Computer Sciece Vol.2 No.3 2) 475-482 ON THE FUZZY METRIC SPACES Received: July 2, Revised:

More information

Chapter 7 Isoperimetric problem

Chapter 7 Isoperimetric problem Chapter 7 Isoperimetric problem Recall that the isoperimetric problem (see the itroductio its coectio with ido s proble) is oe of the most classical problem of a shape optimizatio. It ca be formulated

More information

Metric Space Properties

Metric Space Properties Metric Space Properties Math 40 Fial Project Preseted by: Michael Brow, Alex Cordova, ad Alyssa Sachez We have already poited out ad will recogize throughout this book the importace of compact sets. All

More information

The value of Banach limits on a certain sequence of all rational numbers in the interval (0,1) Bao Qi Feng

The value of Banach limits on a certain sequence of all rational numbers in the interval (0,1) Bao Qi Feng The value of Baach limits o a certai sequece of all ratioal umbers i the iterval 0, Bao Qi Feg Departmet of Mathematical Scieces, Ket State Uiversity, Tuscarawas, 330 Uiversity Dr. NE, New Philadelphia,

More information

McGill University Math 354: Honors Analysis 3 Fall 2012 Solutions to selected problems

McGill University Math 354: Honors Analysis 3 Fall 2012 Solutions to selected problems McGill Uiversity Math 354: Hoors Aalysis 3 Fall 212 Assigmet 3 Solutios to selected problems Problem 1. Lipschitz fuctios. Let Lip K be the set of all fuctios cotiuous fuctios o [, 1] satisfyig a Lipschitz

More information

Real Numbers R ) - LUB(B) may or may not belong to B. (Ex; B= { y: y = 1 x, - Note that A B LUB( A) LUB( B)

Real Numbers R ) - LUB(B) may or may not belong to B. (Ex; B= { y: y = 1 x, - Note that A B LUB( A) LUB( B) Real Numbers The least upper boud - Let B be ay subset of R B is bouded above if there is a k R such that x k for all x B - A real umber, k R is a uique least upper boud of B, ie k = LUB(B), if () k is

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

Ma 530 Infinite Series I

Ma 530 Infinite Series I Ma 50 Ifiite Series I Please ote that i additio to the material below this lecture icorporated material from the Visual Calculus web site. The material o sequeces is at Visual Sequeces. (To use this li

More information

Mathematical Foundations -1- Sets and Sequences. Sets and Sequences

Mathematical Foundations -1- Sets and Sequences. Sets and Sequences Mathematical Foudatios -1- Sets ad Sequeces Sets ad Sequeces Methods of proof 2 Sets ad vectors 13 Plaes ad hyperplaes 18 Liearly idepedet vectors, vector spaces 2 Covex combiatios of vectors 21 eighborhoods,

More information

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial.

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial. Taylor Polyomials ad Taylor Series It is ofte useful to approximate complicated fuctios usig simpler oes We cosider the task of approximatig a fuctio by a polyomial If f is at least -times differetiable

More information

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck!

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck! Uiversity of Colorado Dever Dept. Math. & Stat. Scieces Applied Aalysis Prelimiary Exam 13 Jauary 01, 10:00 am :00 pm Name: The proctor will let you read the followig coditios before the exam begis, ad

More information

Homework 2. Show that if h is a bounded sesquilinear form on the Hilbert spaces X and Y, then h has the representation

Homework 2. Show that if h is a bounded sesquilinear form on the Hilbert spaces X and Y, then h has the representation omework 2 1 Let X ad Y be ilbert spaces over C The a sesquiliear form h o X Y is a mappig h : X Y C such that for all x 1, x 2, x X, y 1, y 2, y Y ad all scalars α, β C we have (a) h(x 1 + x 2, y) h(x

More information

Some Common Fixed Point Theorems in Cone Rectangular Metric Space under T Kannan and T Reich Contractive Conditions

Some Common Fixed Point Theorems in Cone Rectangular Metric Space under T Kannan and T Reich Contractive Conditions ISSN(Olie): 319-8753 ISSN (Prit): 347-671 Iteratioal Joural of Iovative Research i Sciece, Egieerig ad Techology (A ISO 397: 7 Certified Orgaizatio) Some Commo Fixed Poit Theorems i Coe Rectagular Metric

More information

Machine Learning Theory Tübingen University, WS 2016/2017 Lecture 12

Machine Learning Theory Tübingen University, WS 2016/2017 Lecture 12 Machie Learig Theory Tübige Uiversity, WS 06/07 Lecture Tolstikhi Ilya Abstract I this lecture we derive risk bouds for kerel methods. We will start by showig that Soft Margi kerel SVM correspods to miimizig

More information

Math 508 Exam 2 Jerry L. Kazdan December 9, :00 10:20

Math 508 Exam 2 Jerry L. Kazdan December 9, :00 10:20 Math 58 Eam 2 Jerry L. Kazda December 9, 24 9: :2 Directios This eam has three parts. Part A has 8 True/False questio (2 poits each so total 6 poits), Part B has 5 shorter problems (6 poits each, so 3

More information

Problem Cosider the curve give parametrically as x = si t ad y = + cos t for» t» ß: (a) Describe the path this traverses: Where does it start (whe t =

Problem Cosider the curve give parametrically as x = si t ad y = + cos t for» t» ß: (a) Describe the path this traverses: Where does it start (whe t = Mathematics Summer Wilso Fial Exam August 8, ANSWERS Problem 1 (a) Fid the solutio to y +x y = e x x that satisfies y() = 5 : This is already i the form we used for a first order liear differetial equatio,

More information

ON THE EXTENDED AND ALLAN SPECTRA AND TOPOLOGICAL RADII. Hugo Arizmendi-Peimbert, Angel Carrillo-Hoyo, and Jairo Roa-Fajardo

ON THE EXTENDED AND ALLAN SPECTRA AND TOPOLOGICAL RADII. Hugo Arizmendi-Peimbert, Angel Carrillo-Hoyo, and Jairo Roa-Fajardo Opuscula Mathematica Vol. 32 No. 2 2012 http://dx.doi.org/10.7494/opmath.2012.32.2.227 ON THE EXTENDED AND ALLAN SPECTRA AND TOPOLOGICAL RADII Hugo Arizmedi-Peimbert, Agel Carrillo-Hoyo, ad Jairo Roa-Fajardo

More information

AN EXTENSION OF SIMONS INEQUALITY AND APPLICATIONS. Robert DEVILLE and Catherine FINET

AN EXTENSION OF SIMONS INEQUALITY AND APPLICATIONS. Robert DEVILLE and Catherine FINET 2001 vol. XIV, um. 1, 95-104 ISSN 1139-1138 AN EXTENSION OF SIMONS INEQUALITY AND APPLICATIONS Robert DEVILLE ad Catherie FINET Abstract This article is devoted to a extesio of Simos iequality. As a cosequece,

More information

Introduction to Extreme Value Theory Laurens de Haan, ISM Japan, Erasmus University Rotterdam, NL University of Lisbon, PT

Introduction to Extreme Value Theory Laurens de Haan, ISM Japan, Erasmus University Rotterdam, NL University of Lisbon, PT Itroductio to Extreme Value Theory Laures de Haa, ISM Japa, 202 Itroductio to Extreme Value Theory Laures de Haa Erasmus Uiversity Rotterdam, NL Uiversity of Lisbo, PT Itroductio to Extreme Value Theory

More information

A constructive analysis of convex-valued demand correspondence for weakly uniformly rotund and monotonic preference

A constructive analysis of convex-valued demand correspondence for weakly uniformly rotund and monotonic preference MPRA Muich Persoal RePEc Archive A costructive aalysis of covex-valued demad correspodece for weakly uiformly rotud ad mootoic preferece Yasuhito Taaka ad Atsuhiro Satoh. May 04 Olie at http://mpra.ub.ui-mueche.de/55889/

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

Differentiable Convex Functions

Differentiable Convex Functions Differetiable Covex Fuctios The followig picture motivates Theorem 11. f ( x) f ( x) f '( x)( x x) ˆx x 1 Theorem 11 : Let f : R R be differetiable. The, f is covex o the covex set C R if, ad oly if for

More information

Machine Learning for Data Science (CS 4786)

Machine Learning for Data Science (CS 4786) Machie Learig for Data Sciece CS 4786) Lecture & 3: Pricipal Compoet Aalysis The text i black outlies high level ideas. The text i blue provides simple mathematical details to derive or get to the algorithm

More information

Topologie. Musterlösungen

Topologie. Musterlösungen Fakultät für Mathematik Sommersemester 2018 Marius Hiemisch Topologie Musterlösuge Aufgabe (Beispiel 1.2.h aus Vorlesug). Es sei X eie Mege ud R Abb(X, R) eie Uteralgebra, d.h. {kostate Abbilduge} R ud

More information

Almost Surjective Epsilon-Isometry in The Reflexive Banach Spaces

Almost Surjective Epsilon-Isometry in The Reflexive Banach Spaces CAUCHY JURNAL MATEMATIKA MURNI DAN APLIKASI Volume 4 (4) (2017), Pages 167-175 p-issn: 2086-0382; e-issn: 2477-3344 Almost Surjective Epsilo-Isometry i The Reflexive Baach Spaces Miaur Rohma Departmet

More information

Council for Innovative Research

Council for Innovative Research ABSTRACT ON ABEL CONVERGENT SERIES OF FUNCTIONS ERDAL GÜL AND MEHMET ALBAYRAK Yildiz Techical Uiversity, Departmet of Mathematics, 34210 Eseler, Istabul egul34@gmail.com mehmetalbayrak12@gmail.com I this

More information

Introduction to Optimization Techniques

Introduction to Optimization Techniques Itroductio to Optimizatio Techiques Basic Cocepts of Aalysis - Real Aalysis, Fuctioal Aalysis 1 Basic Cocepts of Aalysis Liear Vector Spaces Defiitio: A vector space X is a set of elemets called vectors

More information

} is said to be a Cauchy sequence provided the following condition is true.

} is said to be a Cauchy sequence provided the following condition is true. Math 4200, Fial Exam Review I. Itroductio to Proofs 1. Prove the Pythagorea theorem. 2. Show that 43 is a irratioal umber. II. Itroductio to Logic 1. Costruct a truth table for the statemet ( p ad ~ r

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

A General Iterative Scheme for Variational Inequality Problems and Fixed Point Problems

A General Iterative Scheme for Variational Inequality Problems and Fixed Point Problems A Geeral Iterative Scheme for Variatioal Iequality Problems ad Fixed Poit Problems Wicha Khogtham Abstract We itroduce a geeral iterative scheme for fidig a commo of the set solutios of variatioal iequality

More information

DANIELL AND RIEMANN INTEGRABILITY

DANIELL AND RIEMANN INTEGRABILITY DANIELL AND RIEMANN INTEGRABILITY ILEANA BUCUR We itroduce the otio of Riema itegrable fuctio with respect to a Daiell itegral ad prove the approximatio theorem of such fuctios by a mootoe sequece of Jorda

More information

Math 525: Lecture 5. January 18, 2018

Math 525: Lecture 5. January 18, 2018 Math 525: Lecture 5 Jauary 18, 2018 1 Series (review) Defiitio 1.1. A sequece (a ) R coverges to a poit L R (writte a L or lim a = L) if for each ǫ > 0, we ca fid N such that a L < ǫ for all N. If the

More information

1 Approximating Integrals using Taylor Polynomials

1 Approximating Integrals using Taylor Polynomials Seughee Ye Ma 8: Week 7 Nov Week 7 Summary This week, we will lear how we ca approximate itegrals usig Taylor series ad umerical methods. Topics Page Approximatig Itegrals usig Taylor Polyomials. Defiitios................................................

More information

Dirichlet s Theorem on Arithmetic Progressions

Dirichlet s Theorem on Arithmetic Progressions Dirichlet s Theorem o Arithmetic Progressios Athoy Várilly Harvard Uiversity, Cambridge, MA 0238 Itroductio Dirichlet s theorem o arithmetic progressios is a gem of umber theory. A great part of its beauty

More information

Math 113, Calculus II Winter 2007 Final Exam Solutions

Math 113, Calculus II Winter 2007 Final Exam Solutions Math, Calculus II Witer 7 Fial Exam Solutios (5 poits) Use the limit defiitio of the defiite itegral ad the sum formulas to compute x x + dx The check your aswer usig the Evaluatio Theorem Solutio: I this

More information

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS 18th Feb, 016 Defiitio (Lipschitz fuctio). A fuctio f : R R is said to be Lipschitz if there exists a positive real umber c such that for ay x, y i the domai

More information

Advanced Real Analysis

Advanced Real Analysis McGill Uiversity December 26 Faculty of Sciece Fial Exam Advaced Real Aalysis Math 564 December 9, 26 Time: 2PM - 5PM Examier: Dr. J. Galkowski Associate Examier: Prof. D. Jakobso INSTRUCTIONS. Please

More information

II. EXPANSION MAPPINGS WITH FIXED POINTS

II. EXPANSION MAPPINGS WITH FIXED POINTS Geeralizatio Of Selfmaps Ad Cotractio Mappig Priciple I D-Metric Space. U.P. DOLHARE Asso. Prof. ad Head,Departmet of Mathematics,D.S.M. College Jitur -431509,Dist. Parbhai (M.S.) Idia ABSTRACT Large umber

More information

Properties of Fuzzy Length on Fuzzy Set

Properties of Fuzzy Length on Fuzzy Set Ope Access Library Joural 206, Volume 3, e3068 ISSN Olie: 2333-972 ISSN Prit: 2333-9705 Properties of Fuzzy Legth o Fuzzy Set Jehad R Kider, Jaafar Imra Mousa Departmet of Mathematics ad Computer Applicatios,

More information

Sequences and Limits

Sequences and Limits Chapter Sequeces ad Limits Let { a } be a sequece of real or complex umbers A ecessary ad sufficiet coditio for the sequece to coverge is that for ay ɛ > 0 there exists a iteger N > 0 such that a p a q

More information

y X F n (y), To see this, let y Y and apply property (ii) to find a sequence {y n } X such that y n y and lim sup F n (y n ) F (y).

y X F n (y), To see this, let y Y and apply property (ii) to find a sequence {y n } X such that y n y and lim sup F n (y n ) F (y). Modica Mortola Fuctioal 2 Γ-Covergece Let X, d) be a metric space ad cosider a sequece {F } of fuctioals F : X [, ]. We say that {F } Γ-coverges to a fuctioal F : X [, ] if the followig properties hold:

More information

On Random Line Segments in the Unit Square

On Random Line Segments in the Unit Square O Radom Lie Segmets i the Uit Square Thomas A. Courtade Departmet of Electrical Egieerig Uiversity of Califoria Los Ageles, Califoria 90095 Email: tacourta@ee.ucla.edu I. INTRODUCTION Let Q = [0, 1] [0,

More information

Beurling Integers: Part 2

Beurling Integers: Part 2 Beurlig Itegers: Part 2 Isomorphisms Devi Platt July 11, 2015 1 Prime Factorizatio Sequeces I the last article we itroduced the Beurlig geeralized itegers, which ca be represeted as a sequece of real umbers

More information

A Characterization of Compact Operators by Orthogonality

A Characterization of Compact Operators by Orthogonality Australia Joural of Basic ad Applied Scieces, 5(6): 253-257, 211 ISSN 1991-8178 A Characterizatio of Compact Operators by Orthogoality Abdorreza Paahi, Mohamad Reza Farmai ad Azam Noorafa Zaai Departmet

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion Topics i Aalysis 3460:589 Summer 007 Itroductio Ree descartes - aalysis (breaig dow) ad sythesis Sciece as models of ature : explaatory, parsimoious, predictive Most predictios require umerical values,

More information

Math 312 Lecture Notes One Dimensional Maps

Math 312 Lecture Notes One Dimensional Maps Math 312 Lecture Notes Oe Dimesioal Maps Warre Weckesser Departmet of Mathematics Colgate Uiversity 21-23 February 25 A Example We begi with the simplest model of populatio growth. Suppose, for example,

More information

Boundaries and the James theorem

Boundaries and the James theorem Boudaries ad the James theorem L. Vesely 1. Itroductio The followig theorem is importat ad well kow. All spaces cosidered here are real ormed or Baach spaces. Give a ormed space X, we deote by B X ad S

More information

Several properties of new ellipsoids

Several properties of new ellipsoids Appl. Math. Mech. -Egl. Ed. 008 9(7):967 973 DOI 10.1007/s10483-008-0716-y c Shaghai Uiversity ad Spriger-Verlag 008 Applied Mathematics ad Mechaics (Eglish Editio) Several properties of ew ellipsoids

More information

n=1 a n is the sequence (s n ) n 1 n=1 a n converges to s. We write a n = s, n=1 n=1 a n

n=1 a n is the sequence (s n ) n 1 n=1 a n converges to s. We write a n = s, n=1 n=1 a n Series. Defiitios ad first properties A series is a ifiite sum a + a + a +..., deoted i short by a. The sequece of partial sums of the series a is the sequece s ) defied by s = a k = a +... + a,. k= Defiitio

More information

5. Matrix exponentials and Von Neumann s theorem The matrix exponential. For an n n matrix X we define

5. Matrix exponentials and Von Neumann s theorem The matrix exponential. For an n n matrix X we define 5. Matrix expoetials ad Vo Neuma s theorem 5.1. The matrix expoetial. For a matrix X we defie e X = exp X = I + X + X2 2! +... = 0 X!. We assume that the etries are complex so that exp is well defied o

More information