The Use of Filters in Topology

Size: px
Start display at page:

Download "The Use of Filters in Topology"

Transcription

1 The Use of Filters i Topology By ABDELLATF DASSER B.S. Uiversity of Cetral Florida, 2002 A thesis submitted i partial fulfillmet of the requiremets for the degree of Master of Siee i the Departmet of Mathematis i the College of Arts ad Siees at the Uiversity of Cetral Florida Orlado, Florida Fall Term 2004

2 ABSTRACT Sequees are suffiiet to desribe topologial properties i metri spaes or, more geerally, topologial spaes havig a outable base for the topology. However, filters or ets are eeded i more abstrat spaes. Nets are more atural extesio of sequees but are geerally less friedly to work with sie quite ofte two ets have distit direted sets for domais. Operatios ivolvig filters are set theoreti ad geerally ertai to filters o the same set. The oept of a filter was itrodued by H. Carta i 1937 ad a exellet treatmet of the subjet a be foud i N. Bourbaki (1940). ii

3 ACKNOWLEDGEMENTS would like to express my gratitude to my supervisor, Dr. Rihardso, for may isightful oversatios durig the developmet of the ideas i this thesis, his uderstadig, edless patiee, ad eouragemet. would also like to thik my defese ommittee members, Dr. Mohapatra ad Dr. Ha for askig me exellet questios. Fially, but ot least, would like to thik Ahmed Ameur for the friedship ad omi relief whe thigs started to get diffiult. iii

4 TABLE OF CONTENTS CHAPTER 1 NTRODUCTON AND EXAMPLES... 1 CHAPTER 2 FLTERS... 4 CHAPTER 3 ULTRAFLTERS... 8 CHAPTER 4 CONVERGENCE AND FLTERS CHAPTER 5 COMPACTNESS AND FLTERS CHAPTER 6 NTAL STRUCTURES CONCLUSON LST OF REFERENCES iv

5 CHAPTER 1 NTRODUCTON AND EXAMPLES The study of filters is a very atural way to desribe overgee i geeral topologial spae. Filters were itrodued i 1937 by Carta (1937 a,b). Bourbaki (1940) employed filters i order to prove several results i their text. the same year Tukey (1940) studied sets, filters, ad various modifiatios of the two oepts. A omplete reliae o filters for the developmet of topology a be foud i Kowalsky (1961). There are traes of the oept of filters as early as 1914 i Root s artile. More reetly, filters play a fudametal role i the developmet of fuzzy spaes whih have appliatios i omputer siee ad egieerig. Filters are also a importat tool used by researhers desribig o-topologial overgee otios i futioal aalysis. (e.g see Beattie ad Butzma,2002). Moreover, Preuss (2002) has applied filters throughout his book o ategorial topology. The purpose of this paper is to provide thorough disussio of filters ad their appliatios. Filters are used i geeral topology to haraterize suh importat oepts as otiuity, iitial ad fial strutures, ompatess, et. The followig examples are give to show that sequees are ot suffiiet to haraterize poits of losure, otiuity, ad ompatess. Example 1.1 let X to be a uoutable set ad fix x X 0. Defie { A X : ( x A) or ( x Aad A is outable) } (a) φ, X τ τ. The τ is a topology for X. = 0 0 1

6 (b) A, B τ implies that A B τ () A τ, J implies that A τ. The latter holds sie if x0 A for some 0 0, the A = A A 0 whih is outable. Thus, A τ. We laim that x τ x if ad oly if x = x evetually ( ie = x N ). x (a) Suppose that x. Sie{ x } τ, x τ x if ad oly if x 0 (b) Suppose that x = x0 ad x 0 for ifiitely may. Defie F= x = x evetually. x { x x } : x 0. The F τ ad x F evetually fails to hold. Hee x x0 ifiitely ofte. Therefore, x 0 does ot overge to x. Coversely, if does ot overge to x, the there exist x 0 O τ, x 0 O suh that x O ifiitely ofte. That is, x x0 ifiitely ofte. Hee, x x 0 if ad oly if x = x τ 0 evetually. A: { x } but it does ot exist a sequee { x } i { } x0 0 { } x 0 suh that x τ x 0. f x, the x x for all 1 ad by above results, x does ot overge to x 0 0 x. Hee, there is o sequee otaied i { x } 0 that overges to. However, 0 { x } sie O x 0 for eah O τ, x 0 O. Ad therefore, sequees do ot x0 0 { } φ haraterize poits of losure. B: Let σ be the disrete topology for X, ie σ is the set of all subsets of X. Oe a see x 0 that x x 0 if ad oly if x = x evetually. Hee, σ ad τ have the same σ 0 overget sequees. Let the d: (, τ ) ( X,σ ) X deote the idetity futio. The 2

7 futio d is sequetially otiuous sie τ ad σ have the same overget sequees. However, sie τ σ, the above futio is ot otiuous. Hee, sequees do ot haraterize otiuity. Example1.2 Let ( X, d ) be a metri spae that is ot ompat. Ad let ( X *,τ * ) be the Stoe-Ceh ompatifiatio of X ( d ) (, d). Sie X, is ot sequetially ompat, there exist { x } otaied i X whih has o overget subsequee i ( X, d). t is kow that o sequee otaied i X overges to a poit i X * X. Hee, ( X *,τ * ) is ot sequetially ompat. Therefore, sequees do ot haraterize ompatess. 3

8 CHAPTER 2 FLTERS Defiitio 2.1 Cosider a arbitrary set X. A set τ of subsets of X satisfyig the oditios: (a) φ τ ad X τ (b) U V τ wheever u τ ad V τ () The uio of the members of a arbitrary subset of τ belogs to τ is alled a topology o X. A topologial spae is a pair ( X,τ ) where τ is a topology o X. The members of τ are alled ope sets. Defiitio 2.2 Cosider a set X φ. A filter F o X is a set of subsets of X satisfyig the oditios: (a) F φ ad φ F (b) f () f B F the A, A B A F ad A B X the B F F A subset β F is alled a base for the filter F if every member of F otais some member of β. The defiitio of a filter base for some filter is as follows: Defiitio 2.3: β is alled a base for a filter o X if ad oly if β is a set of subsets of X satisfyig the oditios: (a) β φ, φ β 4

9 (b) B 1, B2 β B3 β suh that B3 B1 B 2. Example 2.4 Let X φ be a arbitrary set. Fix x0 X ad the x& 0 = { A : A X ad x0 A} is a filter o X. x 0 x& Note that { 0}. Example 2.5 Fix a set φ A0 X, the 0 = A & { B X B } : A 0 is a filter o X. partiular, if A0 = X, X & ={ X} is the smallest possible filter o X. Example 2.6 f X is ay oempty set ad { x} is a sequee i X. Defie B = { x k : k 1}. The, F = { A X : A B 1} is a filter o X ad is alled the elemetary filter determied by { x }. Example 2.7 f X is a ifiite set the F={ F X : F is fiite} a filter o X ad is alled the ofiite or Fréhet filter. Example 2.8 f X is a topologial spae ad x X, the the family U(x) of all eighborhoods of x is a filter ad is alled the eighborhood filter of x. Example 2.9 The family of all tails of the sequee { x } o X is a base for the orrespodig elemetary filter; a tail is the set of the form = N {{}} Example 2.10 The family x is a base for the filter x& o X. B { x : N}. Let F (X) deote the set of all filters o a set X ad F, G F (X). We all a filter G fier tha the filter F if F G, we also all F oarser that G. Note that F = {X} is the oarsest member i F (X). t is easy to verify that ( F (X ), ) is a poset. 5

10 Also, F( X, ) is ot liearly ordered sie x& y& or y& x&. Before disussig filter ad overgee, oe wats to prove ad defie various thigs about filters. DeMorga s law states that if X φ ad{ A : } is a olletio of subsets of X. The: (a) ( A ) = i A ( ) (b) A = i A Propositio 2.11 Assume that X φ ad F F(X ), (idex set) the F F(X ) is the fiest filter o X whih is oarser tha eah F,. Proof (a): Note that φ F,, implies that φ F ad also X belogs to eah F,. F Thus X ad it follows that F φ. (b): Let A, B F ; the A ad B belog to eah F. Therefore, A B belogs to eah F,, ad thus A B F. (): Let A F ; the A eah F,. Let B A thus B belogs to eah F sie B is a over set of A. t follows that B F. Sie (a), (b) ad () are satisfied, F is a filter. Clearly F F, for eah. 6

11 Next, let G F for eah ad let us prove that G F. Let A G; thus A belogs to eah F,, ad the A F. t follows that G F. geeral, the uio of two filters may or may ot be a filter. For example, if F ad G may otai disjoit members. Propositio 2.12 Let F,, be filters o X. The F ={ A X : A = F } F for some F Proof Let B F ; the B belogs to eah F ad thus B = F by hoosig eah F = B. Coversely, Let B { A X : A = F for some F F }, thus B = F for some F F ad thus B belogs to eah F. Hee B F Letφ X Y. f F F(X ), the F is a filter base o Y. That is { A Y : F A F F } is a filter o Y geerated by F. The geerated filter is deoted by [F ]. Coversely, if G is a filter o Y ad G X φ for eah G G, the F = { G X : G G} F(X). This filter is alled the idued filter o X, or the trae of G o X. Example 2.13 Let X = [0,1], Y = R ad let G be the filter o Y whose base is {( εε, ): ε> 0}. The the trae of G o X is the filter o X havig a base {[ 0, ]: ε > 0 } ε. 7

12 CHAPTER 3 ULTRAFLTERS (, ) Defiitio 3.1 A ultrafilter is a maximal filter i the poset F( X),where the orderig F G meas that F G. That is a filter U o X is a ultrafilter provided U G implies that U =G. Propositio 3.2 ( Zor s lemma ) f X is partially ordered set i whih every liearly ordered subset ( ay two elemets are omparable ) has a upper boud, the X has a maximal elemet. That is, there exists x X suh that there is o y x with x y. Propositio 3.3 Let X be a set ad F a filter o X. The there exists a ultrafilter U o X that is fier tha F.. Proof: Cosider the family P={ G F ( X ) : Gis a filter that fier tha F }. The family P { G } is partially ordered by. Suppose that C = liearly ordered subset of P for eah G P. : Deote H= { G : } ={ A : A G } (a) F P by ostrutio, thus H φ (b) φ H sie φ G, for eahg P is a hai i P. That is C is ( ) Let A, B H; the A Gβ, B G β for some, β. Now, either Gβ G or Gβ G holds. The A, B Gβ ad thus A B G β sie Gβ is a filter. The, A B H. (d) f A H the A G for some G C. f B A the B G ad thus B H. 8

13 Therefore, H is a filter ad hee a upper boud for C i P The partially ordered set P satisfies the assumptios of Zor s lemma; hee there is a maximal elemet U P. Therefore, U is a ultrafilter otaiig F. Propositio 3.4 Let F be a filter o a set X; the, the followig are equivalet: (a) F is a ultrafilter. (b) For ay two subsets A ad B of X we have: f A U B ) For every subset A of X either A F or A F. Proof (a) (b): Assume A U B F ad A F ad B F. F the A F or B F. Defie G = { C X : A C F }; the G F(X).Further, F G, B G ad thus F G. But F is a ultrafilter. Thus, there is a otraditio. Therefore, A F or B F. (b) (): Clearly A A = X F ; therefore A F or A F usig(b). () (a): Let G be a filter that is fier tha F ad let A G be arbitrary. The A F beause A has oempty itersetio with every elemet of F. t follows that A F. Thus, G = F. Propositio 3.5 Let F F(X). The: F = { U : U F U, is aultrafilter o X } Proof Clearly F { U : U F U, is aultrafilter o X }. Assume that there exists a { } A U : U F U, is aultrafilter o X suh that A F. The F A φ for eah F F ad thus β = { F A : F F } is a base for a filter G. Note that F G. 9

14 Let UG be a ultrafilter otaiig G. Sie, F UG, A U G. However, A G U G ad thus A A U, a otraditio. Therefore, G F = U : U F U, is aultrafilter o X. { } Propositio 3.6 Let U be a ultrafilter o the set X. f AA..., 1 2 A are subsets of X suh that A belogs to U, the at least oe of the sets belogs to U. =1 i i A i A i Proof f o belogs to U, the A belogs to U for i i = 1,2,..., by Propositio 2.3, ad hee A = ( A ) belogs to U, whih is impossible sie A is give to belog to U.. i i =1 i i Propositio 3.7 let U be a ultrafilter o X ad A U A φ for all U U. The A U. X suh that Proof Assume that A U ad defie β = { A U U } φ β ad β φ sie U A ( U1 A) ( U 2 A)= ( U U 2 ) A β φ for all U U. Also, U :. Note that 1 sie ( U 1 U 2 ) U. Thus β is a base filter for some filter G.Note that A G beause A U A ad A U. Therefore, U G, a otraditio ad hee A U. Propositio 3.8 Let f : X Y be a futio ad U is a ultrafilter o X. The f (U ) is a ultrafilter o Y. Proof Assume that ( ) A f U ; the for eah U U, A f ( U ) φ. 10

15 1 Hee, f ( A ) U φ 1 Therefore, f ( f ( A ) f ( U ) is a ultrafilter o Y. 1 for eah U U ad thus by Propositio 2.6, f ( A ) U. ad thus f ( U ) A 1 sie f ( f ( A )) A. Hee, f (U) 11

16 CHAPTER 4 CONVERGENCE AND FLTERS Defiitio 4.1 Let ( X,τ ) be a topologial spae ad let U (x) deote the eighborhood filter at x. A filter F o X overges to x if U (x) F. Propositio 4.2 Let A be a subset of a topologial spae X. The, for x X, x Ā if ad oly if there exists a filter o X whih otais A ad overges to x. Proof Assume that x Ā. The ay eighborhood of x has a oempty itersetio with A. Now all the sets A U, where U is a eighborhood of x, form a filter base, ad the orrespodig filter overges to x. Coversely, assume that F is a filter otaiig A ad overgig to x. Choose ay eighborhood U of x. The U F, ad thus U A φ sie A F. This proves that x Ā. Defiitio 4.3 A topologial spae ( X, τ ) is Hausdorff or T 2 provided if x y, the there exist sets O x, O y τ suh that x Ox, y Oy ad O x O y = φ. Propositio 4.4 ( X, τ ) is T if ad oly if eah filter overges to at most oe poit, i.e. 2 F τ x, y implies x=y. Proof Suppose that ( X, τ ) is Hausdorff ad suppose F τ x, y where x y. The there exist O x, O y τ suh that x Ox, y Oy ad O x O y = φ.however, F τ x, y implies that O F, x Oy F, ad 12

17 Ox O y =φ F whih is a otraditio. Therefore, eah filter overges to at most oe poit. Coversely, suppose that x y ad assume that O O φ for eah x y O x, O y τ, x Ox, y Oy We laim that β = O O : O τ, O τ, x O, y O } is a base for some filter { x y x y x y F.Observe that ( Ox O y ) ( G x G y ) = ( Ox Gx ) ( Oy G y ) β sie ( Ox Gx ) is a ope set otaiig x ad O G ) is a ope set otaiig y. Thus β is a base ( y y for some filter F sie O O O ) implies that eah Ox F, x ( x y F overges to x. Likewise, Oy ( Ox Oy ) implies that Oy F, ad thus F overges to y, a otraditio. Therefore, there does t exist a O ad O suh thato where x ad y O. Hee ( X, τ ) is Hausdorff. O x y x y x O The followig result shows that otiuity of maps betwee topologial spaes a be haraterized i terms of overgee of filters. Reall that a mappig g: X Y betwee two topologial spaes is otiuous at x provided that for eah eighborhood V of g ( x ), there exist a eighborhood U of x suh that g(u) V. Propositio 4.5 Let X, Y be topologial spaes with x X ad y φ g: X Y. The g is otiuous at x if ad oly if wheever F is a filter suh that F x, g(f ) g(x). Proof Suppose g is otiuous at x ad F x. Let V be a eighborhood of g(x). By otiuity there is a eighborhood U of x suh that g(u) V. Sie U F, 13

18 g(u) g(f ). Ad thus V g(f ). Hee g (F ) g(x). Coversely, suppose that wheever F x, g(f) g (x). The g( U ( x) ) g( x) by hypothesis. The, for eah eighborhood V of g (x), V g ( U ( x) g (U) V ad thus g is otiuous at x. ). The there exists a U U(x) suh that 14

19 CHAPTER 5 COMPACTNESS AND FLTERS Reall that a topologial spae ( X,τ ) is ompat provided eah ope overig of X has a fiite suboverig. t is show below that ompatess a be haraterized i terms of overgee of ultrafilters. Propositio 5.1 Let ( X, τ ) be a topologial spae. The the followig statemets are equivalet: (a) ( X, τ ) is ompat (b) Eah ultrafilter o X overges () { A: A } F φ for eah filter o X Proof (a) (b): Suppose ( X, τ ) is ompat ad that there exist a ultrafilter F that does t overge. The for eah x X, there exists F V V ad thus C = { V : x X} x x is a ope over of X. Hee V i= xi 1. =X. Sie F is a ultrafilter, implies that Vx F for eah x X ad therefore X = φ F, whih is a otraditio. = = i 1 Vx i Thus, eah ultrafilter o X overges. (b) (): Give ay filter F o X; let G be a ultrafilter otaiig F. The G overges to x i ( X, τ ), for some x X. Give ay eighborhood V of x ad A F; the A G ad V G. Hee, A V G ad thus A V φ. Therefore, x A. 15

20 () (a): Suppose ( X,τ ) is ot ompat. Let C ={ O J} : be a ope over of X with o fiite subover. The, = i 1 O i X, for eah. Let F be the filter o X whose base O, i = i 1 : 1 O whih is a otraditio. C.However, { A : A F } O = ( O ) = X φ, = J Propositio 5.2 Let f : ( X, τ ) ( Y, σ ) be a otiuous futio ad oto. f ( X, τ ) is ompat the ( Y, σ ) is ompat. 1 Proof Let U be a ultrafilter o Y, F = ( U ) f ad by Propositio2.2 there exist a ultrafilter o X. G F. The: G τ x, for some x X sie ( X, τ ) is ompat. The otiuity assumptio of f implies that f (G ) f(x) aordig to Propositio 4.6. Sie G F the f (G) f ( F ) =f (f 1 ( U)) U. Also f is oto ad thus 1 f (f (U))= U. Hee, f(g ) U ad sie U is a ultrafilter f ( G ) = U. Cosequetly, f (G ) f (x) implies that U f(x). Therefore, by Propositio 4.1, ( Y, σ ) is ompat. 16

21 CHAPTER 6 NTAL STRUCTURES f Propositio 6.1 Cosider the soure X ( Y ), J The:, where J, is a idex lass. τ (a) There exists a oarsest (smallest) topology τ o X for whih eah f :( X, τ ) ( Y, τ ) is otiuous, J. (b) Eah g: Y, σ ) ( X, τ ) is otiuous if ad oly if f ο g ( Y, σ ) ( Y, τ ) is ( otiuous, for eah J. () τ is the uique topology for X whih obeys (b) ( ) (d) Give F F X, τ x if ad oly if f τ F ( F ) f ( x ) i : for eah J. Proof A subbase for τ is S ={ f ( O ) : O } 1 τ. (a) t easily follows that τ is the oarsest suh topology suh that eah f is otiuous. (b) The ompositio of two otiuous futios i otiuous. Coversely, assume that 1 f ο g is otiuous, for eah J. Let f ( O ) S the, 1 )) = ( fο g) ( O ) σ ad thus, ( ) σ g ( f ( O g f ( O ) Sie otiuity of g: Y, σ ) ( X, τ ) ( follows that g: Y, σ ) ( X, τ ) is otiuous. ( is determied by the subbase S for τ, it 17

22 () Let τ be aother topology for X obeyig (b). Sie id: X, τ ) ( X, τ ) is X ( X otiuous, f ( X, τ X ) ( Y, τ ) is otiuous, for eah J. Hee by (a), τ τ X. : Moreover, osider id: X, τ ) ( X, τ ). ( X Sie f f ο id ( X, τ ) ( Y, τ ) = is otiuous for eah J, the hypothesis : implies that id: ( X, τ ) ( X, τ X ) is otiuous. Hee, τ X τ ad thus τ X = τ. (d) Sie eah f :( X, τ ) ( Y, τ ) f τ ( f ( x). Coversely, assume that is otiuous, F τ x implies that. τ F) f ( ) f ( x) F for eah J. Now, 1 f ( O ) S ad if x f 1 ( O ), f ( x) O f ( F) ad thus f ( F ) O for some F F 1. Hee f ( O ) F ad thus 1 f ( ) F. Sie f 1 ( ) is a base O = i 1 i O i member for τ, it follows that base members otaiig x belog to F. τ Hee F x. partiular, whe X ΠX is a produt set ad = P f = are projetio maps, τ is alled the produt topology for X. Aordig to Propositio 5.1 τ is the oarsest topology for X suh that eah projetio map is otiuous. 18

23 CONCLUSON A disussio of filters ad their appliatios to the theory of geeral topology has bee preseted. These ideas have bee primarily developed by Europea mathematiias, begiig with the work of H. Carta ad reorded i the various texts writte uder the pseudoame N. Bourbaki. The Moore- Smith et overgee has bee more widely taught i Ameria uiversities. Both are used to haraterize topologial oepts i more abstrat spaes. 19

24 LST OF REFERENCES Beattie, R. ad Butzma, H.-P., Covergee struture ad appliatios to Futioal aalysis, klwwer aod. Pub., Dordreht, Bourbaki, N.(1940), Topologie geerale. Chapitre 1 et 2. Atualites Si. d., 858 Carta, H.(1937a), Theorie des filters, ompt. Red., 205, Carta, H.(1937b), Filtres et ultrafiltres, Compt. Red., 205, Kowalsky, H. J.(1961), Topologishe Raume, Basel-Stuttgart (Topologial Spaes, Aademi Press, New York, 1964 ). Preuess, Gerhard, Foudatios of Topology, kluwer aod. Pub., Dordreht, Root, R.(1914), terated limits i geeral aalysis, Am. J. Math., 36,

ε > 0 N N n N a n < ε. Now notice that a n = a n.

ε > 0 N N n N a n < ε. Now notice that a n = a n. 4 Sequees.5. Null sequees..5.. Defiitio. A ull sequee is a sequee (a ) N that overges to 0. Hee, by defiitio of (a ) N overges to 0, a sequee (a ) N is a ull sequee if ad oly if ( ) ε > 0 N N N a < ε..5..

More information

β COMPACT SPACES IN FUZZIFYING TOPOLOGY *

β COMPACT SPACES IN FUZZIFYING TOPOLOGY * Iraia Joural of Siee & Tehology, Trasatio A, Vol 30, No A3 Prited i The Islami Republi of Ira, 2006 Shiraz Uiversity FUZZ IRRESOLUTE FUNCTIONS AND FUZZ COMPACT SPACES IN FUZZIFING TOPOLOG * O R SAED **

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

Chapter 8 Hypothesis Testing

Chapter 8 Hypothesis Testing Chapter 8 for BST 695: Speial Topis i Statistial Theory Kui Zhag, Chapter 8 Hypothesis Testig Setio 8 Itrodutio Defiitio 8 A hypothesis is a statemet about a populatio parameter Defiitio 8 The two omplemetary

More information

ANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION

ANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION ANOTHER PROOF FOR FERMAT S LAST THEOREM Mugur B. RĂUŢ Correspodig author: Mugur B. RĂUŢ, E-mail: m_b_raut@yahoo.om Abstrat I this paper we propose aother proof for Fermat s Last Theorem (FLT). We foud

More information

Chapter 0. Review of set theory. 0.1 Sets

Chapter 0. Review of set theory. 0.1 Sets Chapter 0 Review of set theory Set theory plays a cetral role i the theory of probability. Thus, we will ope this course with a quick review of those otios of set theory which will be used repeatedly.

More information

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution Chapter V ODE V.4 Power Series Solutio Otober, 8 385 V.4 Power Series Solutio Objetives: After the ompletio of this setio the studet - should reall the power series solutio of a liear ODE with variable

More information

Fixed Point Approximation of Weakly Commuting Mappings in Banach Space

Fixed Point Approximation of Weakly Commuting Mappings in Banach Space BULLETIN of the Bull. Malaysia Math. S. So. (Seod Series) 3 (000) 8-85 MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Fied Poit Approimatio of Weakly Commutig Mappigs i Baah Spae ZAHEER AHMAD AND ABDALLA J. ASAD

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 ypothesis testig Covers (most of) the followig material from hapter 8: Setio 8. Setios 8.. ad 8..3 Setio 8.3. Setio 8.3. (util defiitio 8.3.6) Ørulf Borga Departmet of Mathematis Uiversity

More information

Exercises 1 Sets and functions

Exercises 1 Sets and functions Exercises 1 Sets ad fuctios HU Wei September 6, 018 1 Basics Set theory ca be made much more rigorous ad built upo a set of Axioms. But we will cover oly some heuristic ideas. For those iterested studets,

More information

Summation Method for Some Special Series Exactly

Summation Method for Some Special Series Exactly The Iteratioal Joural of Mathematis, Siee, Tehology ad Maagemet (ISSN : 39-85) Vol. Issue Summatio Method for Some Speial Series Eatly D.A.Gismalla Deptt. Of Mathematis & omputer Studies Faulty of Siee

More information

Measure and Measurable Functions

Measure and Measurable Functions 3 Measure ad Measurable Fuctios 3.1 Measure o a Arbitrary σ-algebra Recall from Chapter 2 that the set M of all Lebesgue measurable sets has the followig properties: R M, E M implies E c M, E M for N implies

More information

Bipolar soft connected, bipolar soft disconnected and bipolar soft compact spaces

Bipolar soft connected, bipolar soft disconnected and bipolar soft compact spaces Sogklaakari J Si Tehol 39 (3) 359-37 May - Ju 07 http://wwwsjstpsuath Origial Artile Bipolar soft oeted bipolar soft disoeted ad bipolar soft ompat spaes Muhammad Shabir ad Ayreea Bakhtawar* Departmet

More information

Sx [ ] = x must yield a

Sx [ ] = x must yield a Math -b Leture #5 Notes This wee we start with a remider about oordiates of a vetor relative to a basis for a subspae ad the importat speial ase where the subspae is all of R. This freedom to desribe vetors

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

1 Introduction. 1.1 Notation and Terminology

1 Introduction. 1.1 Notation and Terminology 1 Itroductio You have already leared some cocepts of calculus such as limit of a sequece, limit, cotiuity, derivative, ad itegral of a fuctio etc. Real Aalysis studies them more rigorously usig a laguage

More information

Explicit and closed formed solution of a differential equation. Closed form: since finite algebraic combination of. converges for x x0

Explicit and closed formed solution of a differential equation. Closed form: since finite algebraic combination of. converges for x x0 Chapter 4 Series Solutios Epliit ad losed formed solutio of a differetial equatio y' y ; y() 3 ( ) ( 5 e ) y Closed form: sie fiite algebrai ombiatio of elemetary futios Series solutio: givig y ( ) as

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

Commutativity in Permutation Groups

Commutativity in Permutation Groups Commutativity i Permutatio Groups Richard Wito, PhD Abstract I the group Sym(S) of permutatios o a oempty set S, fixed poits ad trasiet poits are defied Prelimiary results o fixed ad trasiet poits are

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

Bernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2

Bernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2 Beroulli Numbers Beroulli umbers are amed after the great Swiss mathematiia Jaob Beroulli5-705 who used these umbers i the power-sum problem. The power-sum problem is to fid a formula for the sum of the

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

Lecture 8. Dirac and Weierstrass

Lecture 8. Dirac and Weierstrass Leture 8. Dira ad Weierstrass Audrey Terras May 5, 9 A New Kid of Produt of Futios You are familiar with the poitwise produt of futios de ed by f g(x) f(x) g(x): You just tae the produt of the real umbers

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

More information

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

More information

SOLVED EXAMPLES

SOLVED EXAMPLES Prelimiaries Chapter PELIMINAIES Cocept of Divisibility: A o-zero iteger t is said to be a divisor of a iteger s if there is a iteger u such that s tu I this case we write t s (i) 6 as ca be writte as

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

4 The Sperner property.

4 The Sperner property. 4 The Sperer property. I this sectio we cosider a surprisig applicatio of certai adjacecy matrices to some problems i extremal set theory. A importat role will also be played by fiite groups. I geeral,

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

More Properties of Semi-Linear Uniform Spaces

More Properties of Semi-Linear Uniform Spaces pplied Mathematis 25 6 69-75 Published Olie Jue 25 i SiRes http://wwwsipog/oual/am http://dxdoiog/4236/am256697 Moe Popeties of Semi-Liea Uifom Spaes Depatmet of Mathematis l-balqa pplied Uivesity lsalt

More information

Société de Calcul Mathématique SA Mathematical Modelling Company, Corp.

Société de Calcul Mathématique SA Mathematical Modelling Company, Corp. oiété de Calul Mathéatique A Matheatial Modellig Copay, Corp. Deisio-aig tools, sie 995 iple Rado Wals Part V Khihi's Law of the Iterated Logarith: Quatitative versios by Berard Beauzay August 8 I this

More information

Non Linear Dynamics of Ishikawa Iteration

Non Linear Dynamics of Ishikawa Iteration Iteratioal Joural of Computer Appliatios (975 8887) Volume 7 No. Otober No Liear Dyamis of Ishiawa Iteratio Rajeshri Raa Asst. Professor Applied Siee ad Humaities Departmet G. B. Pat Egg. College Pauri

More information

Certain inclusion properties of subclass of starlike and convex functions of positive order involving Hohlov operator

Certain inclusion properties of subclass of starlike and convex functions of positive order involving Hohlov operator Iteratioal Joural of Pure ad Applied Mathematial Siees. ISSN 0972-9828 Volume 0, Number (207), pp. 85-97 Researh Idia Publiatios http://www.ripubliatio.om Certai ilusio properties of sublass of starlike

More information

Relations Among Algebras

Relations Among Algebras Itroductio to leee Algebra Lecture 6 CS786 Sprig 2004 February 9, 2004 Relatios Amog Algebras The otio of free algebra described i the previous lecture is a example of a more geeral pheomeo called adjuctio.

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

A Note on Chromatic Weak Dominating Sets in Graphs

A Note on Chromatic Weak Dominating Sets in Graphs Iteratioal Joural of Mathematis Treds ad Tehology (IJMTT) - Volume 5 Number 6 Jauary 8 A Note o Chromati Weak Domiatig Sets i Graphs P. Selvalakshmia ad S. Balamurugab a Sriivasa Ramauja Researh Ceter

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

Theorem 3. A subset S of a topological space X is compact if and only if every open cover of S by open sets in X has a finite subcover.

Theorem 3. A subset S of a topological space X is compact if and only if every open cover of S by open sets in X has a finite subcover. Compactess Defiitio 1. A cover or a coverig of a topological space X is a family C of subsets of X whose uio is X. A subcover of a cover C is a subfamily of C which is a cover of X. A ope cover of X is

More information

The Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

The beta density, Bayes, Laplace, and Pólya

The beta density, Bayes, Laplace, and Pólya The beta desity, Bayes, Laplae, ad Pólya Saad Meimeh The beta desity as a ojugate form Suppose that is a biomial radom variable with idex ad parameter p, i.e. ( ) P ( p) p ( p) Applyig Bayes s rule, we

More information

Calculus 2 TAYLOR SERIES CONVERGENCE AND TAYLOR REMAINDER

Calculus 2 TAYLOR SERIES CONVERGENCE AND TAYLOR REMAINDER Calulus TAYLO SEIES CONVEGENCE AND TAYLO EMAINDE Let the differee betwee f () ad its Taylor polyomial approimatio of order be (). f ( ) P ( ) + ( ) Cosider to be the remaider with the eat value ad the

More information

Observer Design with Reduced Measurement Information

Observer Design with Reduced Measurement Information Observer Desig with Redued Measuremet Iformatio I pratie all the states aot be measured so that SVF aot be used Istead oly a redued set of measuremets give by y = x + Du p is available where y( R We assume

More information

Riemann Integral Oct 31, such that

Riemann Integral Oct 31, such that Riem Itegrl Ot 31, 2007 Itegrtio of Step Futios A prtitio P of [, ] is olletio {x k } k=0 suh tht = x 0 < x 1 < < x 1 < x =. More suitly, prtitio is fiite suset of [, ] otiig d. It is helpful to thik of

More information

FUNDAMENTALS OF REAL ANALYSIS by

FUNDAMENTALS OF REAL ANALYSIS by FUNDAMENTALS OF REAL ANALYSIS by Doğa Çömez Backgroud: All of Math 450/1 material. Namely: basic set theory, relatios ad PMI, structure of N, Z, Q ad R, basic properties of (cotiuous ad differetiable)

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

Part A, for both Section 200 and Section 501

Part A, for both Section 200 and Section 501 Istructios Please write your solutios o your ow paper. These problems should be treated as essay questios. A problem that says give a example or determie requires a supportig explaatio. I all problems,

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

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

Lecture 3 The Lebesgue Integral

Lecture 3 The Lebesgue Integral Lecture 3: The Lebesgue Itegral 1 of 14 Course: Theory of Probability I Term: Fall 2013 Istructor: Gorda Zitkovic Lecture 3 The Lebesgue Itegral The costructio of the itegral Uless expressly specified

More information

MA131 - Analysis 1. Workbook 2 Sequences I

MA131 - Analysis 1. Workbook 2 Sequences I MA3 - Aalysis Workbook 2 Sequeces I Autum 203 Cotets 2 Sequeces I 2. Itroductio.............................. 2.2 Icreasig ad Decreasig Sequeces................ 2 2.3 Bouded Sequeces..........................

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

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

Sequences I. Chapter Introduction

Sequences I. Chapter Introduction Chapter 2 Sequeces I 2. Itroductio A sequece is a list of umbers i a defiite order so that we kow which umber is i the first place, which umber is i the secod place ad, for ay atural umber, we kow which

More information

CHAPTER 5 SOME MINIMAX AND SADDLE POINT THEOREMS

CHAPTER 5 SOME MINIMAX AND SADDLE POINT THEOREMS CHAPTR 5 SOM MINIMA AND SADDL POINT THORMS 5. INTRODUCTION Fied poit theorems provide importat tools i game theory which are used to prove the equilibrium ad eistece theorems. For istace, the fied poit

More information

ON THE SM -OPERATORS

ON THE SM -OPERATORS Soepara d O The SM-operators ON THE SM -OPERTORS Soepara Darawijaya Musli sori da Supaa 3 3 Matheatis Departeet FMIP UGM Yogyaarta eail: aspoo@yahoo.o Matheatis Departeet FMIP Uiversitas Lapug Jl. Soeatri

More information

(for homogeneous primes P ) defining global complex algebraic geometry. Definition: (a) A subset V CP n is algebraic if there is a homogeneous

(for homogeneous primes P ) defining global complex algebraic geometry. Definition: (a) A subset V CP n is algebraic if there is a homogeneous Math 6130 Notes. Fall 2002. 4. Projective Varieties ad their Sheaves of Regular Fuctios. These are the geometric objects associated to the graded domais: C[x 0,x 1,..., x ]/P (for homogeeous primes P )

More information

MAS111 Convergence and Continuity

MAS111 Convergence and Continuity MAS Covergece ad Cotiuity Key Objectives At the ed of the course, studets should kow the followig topics ad be able to apply the basic priciples ad theorems therei to solvig various problems cocerig covergece

More information

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size.

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size. Lecture 7: Measure ad Category The Borel hierarchy classifies subsets of the reals by their topological complexity. Aother approach is to classify them by size. Filters ad Ideals The most commo measure

More information

An Introduction to the Theory of Imprecise Soft Sets

An Introduction to the Theory of Imprecise Soft Sets IJ Itelliget Systems ad Appliatios 22 75-83 Published Olie Otober 22 i MECS (http://wwwmes-pressorg/) DOI: 585/isa229 A Itrodutio to the Theory of Impreise Soft Sets Tridiv Jyoti eog Dept of Mathematis

More information

Final Solutions. 1. (25pts) Define the following terms. Be as precise as you can.

Final Solutions. 1. (25pts) Define the following terms. Be as precise as you can. Mathematics H104 A. Ogus Fall, 004 Fial Solutios 1. (5ts) Defie the followig terms. Be as recise as you ca. (a) (3ts) A ucoutable set. A ucoutable set is a set which ca ot be ut ito bijectio with a fiite

More information

Nonparametric Goodness-of-Fit Tests for Discrete, Grouped or Censored Data 1

Nonparametric Goodness-of-Fit Tests for Discrete, Grouped or Censored Data 1 Noparametri Goodess-of-Fit Tests for Disrete, Grouped or Cesored Data Boris Yu. Lemeshko, Ekateria V. Chimitova ad Stepa S. Kolesikov Novosibirsk State Tehial Uiversity Departmet of Applied Mathematis

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

Math F215: Induction April 7, 2013

Math F215: Induction April 7, 2013 Math F25: Iductio April 7, 203 Iductio is used to prove that a collectio of statemets P(k) depedig o k N are all true. A statemet is simply a mathematical phrase that must be either true or false. Here

More information

MA131 - Analysis 1. Workbook 3 Sequences II

MA131 - Analysis 1. Workbook 3 Sequences II MA3 - Aalysis Workbook 3 Sequeces II Autum 2004 Cotets 2.8 Coverget Sequeces........................ 2.9 Algebra of Limits......................... 2 2.0 Further Useful Results........................

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

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

3 Gauss map and continued fractions

3 Gauss map and continued fractions ICTP, Trieste, July 08 Gauss map ad cotiued fractios I this lecture we will itroduce the Gauss map, which is very importat for its coectio with cotiued fractios i umber theory. The Gauss map G : [0, ]

More information

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as

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

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

MA541 : Real Analysis. Tutorial and Practice Problems - 1 Hints and Solutions

MA541 : Real Analysis. Tutorial and Practice Problems - 1 Hints and Solutions MA54 : Real Aalysis Tutorial ad Practice Problems - Hits ad Solutios. Suppose that S is a oempty subset of real umbers that is bouded (i.e. bouded above as well as below). Prove that if S sup S. What ca

More information

Week 5-6: The Binomial Coefficients

Week 5-6: The Binomial Coefficients Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers

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

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

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

Sums, products and sequences

Sums, products and sequences Sums, products ad sequeces How to write log sums, e.g., 1+2+ (-1)+ cocisely? i=1 Sum otatio ( sum from 1 to ): i 3 = 1 + 2 + + If =3, i=1 i = 1+2+3=6. The ame ii does ot matter. Could use aother letter

More information

Chapter IV Integration Theory

Chapter IV Integration Theory Chapter IV Itegratio Theory Lectures 32-33 1. Costructio of the itegral I this sectio we costruct the abstract itegral. As a matter of termiology, we defie a measure space as beig a triple (, A, µ), where

More information

TENSOR PRODUCTS AND PARTIAL TRACES

TENSOR PRODUCTS AND PARTIAL TRACES Lecture 2 TENSOR PRODUCTS AND PARTIAL TRACES Stéphae ATTAL Abstract This lecture cocers special aspects of Operator Theory which are of much use i Quatum Mechaics, i particular i the theory of Quatum Ope

More information

Advanced Stochastic Processes.

Advanced Stochastic Processes. Advaced Stochastic Processes. David Gamarik LECTURE 2 Radom variables ad measurable fuctios. Strog Law of Large Numbers (SLLN). Scary stuff cotiued... Outlie of Lecture Radom variables ad measurable fuctios.

More information

Sets. Sets. Operations on Sets Laws of Algebra of Sets Cardinal Number of a Finite and Infinite Set. Representation of Sets Power Set Venn Diagram

Sets. Sets. Operations on Sets Laws of Algebra of Sets Cardinal Number of a Finite and Infinite Set. Representation of Sets Power Set Venn Diagram Sets MILESTONE Sets Represetatio of Sets Power Set Ve Diagram Operatios o Sets Laws of lgebra of Sets ardial Number of a Fiite ad Ifiite Set I Mathematical laguage all livig ad o-livig thigs i uiverse

More information

A REMARK ON A PROBLEM OF KLEE

A REMARK ON A PROBLEM OF KLEE C O L L O Q U I U M M A T H E M A T I C U M VOL. 71 1996 NO. 1 A REMARK ON A PROBLEM OF KLEE BY N. J. K A L T O N (COLUMBIA, MISSOURI) AND N. T. P E C K (URBANA, ILLINOIS) This paper treats a property

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

Modern Algebra. Previous year Questions from 2017 to Ramanasri

Modern Algebra. Previous year Questions from 2017 to Ramanasri Moder Algebra Previous year Questios from 017 to 199 Ramaasri 017 S H O P NO- 4, 1 S T F L O O R, N E A R R A P I D F L O U R M I L L S, O L D R A J E N D E R N A G A R, N E W D E L H I. W E B S I T E

More information

Principal Component Analysis

Principal Component Analysis Priipal Compoet Aalysis Nuo Vasoelos (Ke Kreutz-Delgado) UCSD Curse of dimesioality Typial observatio i Bayes deisio theory: Error ireases whe umber of features is large Eve for simple models (e.g. Gaussia)

More information

Lecture 4: Grassmannians, Finite and Affine Morphisms

Lecture 4: Grassmannians, Finite and Affine Morphisms 18.725 Algebraic Geometry I Lecture 4 Lecture 4: Grassmaias, Fiite ad Affie Morphisms Remarks o last time 1. Last time, we proved the Noether ormalizatio lemma: If A is a fiitely geerated k-algebra, the,

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

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

Local Estimates for the Koornwinder Jacobi-Type Polynomials

Local Estimates for the Koornwinder Jacobi-Type Polynomials Available at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol. 6 Issue (Jue 0) pp. 6 70 (reviously Vol. 6 Issue pp. 90 90) Appliatios ad Applied Mathematis: A Iteratioal Joural (AAM) Loal Estimates

More information

The Borel-Cantelli Lemma and its Applications

The Borel-Cantelli Lemma and its Applications The Borel-Catelli Lemma ad its Applicatios Ala M. Falleur Departmet of Mathematics ad Statistics The Uiversity of New Mexico Albuquerque, New Mexico, USA Dig Li Departmet of Electrical ad Computer Egieerig

More information

5 Many points of continuity

5 Many points of continuity Tel Aviv Uiversity, 2013 Measure ad category 40 5 May poits of cotiuity 5a Discotiuous derivatives.............. 40 5b Baire class 1 (classical)............... 42 5c Baire class 1 (moder)...............

More information

Control of the 1D continuous version of the Cucker-Smale model*

Control of the 1D continuous version of the Cucker-Smale model* otrol of the 1D otiuous versio of the uker-smale model* Beedetto Pioli 1, Fraeso Rossi 2 ad Emmauel Trélat 3 Abstrat The well-kow uker-smale model is a marosopi system reproduig the aligmet of veloities

More information

Lecture Notes for CS 313H, Fall 2011

Lecture Notes for CS 313H, Fall 2011 Lecture Notes for CS 313H, Fall 011 August 5. We start by examiig triagular umbers: T () = 1 + + + ( = 0, 1,,...). Triagular umbers ca be also defied recursively: T (0) = 0, T ( + 1) = T () + + 1, or usig

More information

Principal Component Analysis. Nuno Vasconcelos ECE Department, UCSD

Principal Component Analysis. Nuno Vasconcelos ECE Department, UCSD Priipal Compoet Aalysis Nuo Vasoelos ECE Departmet, UCSD Curse of dimesioality typial observatio i Bayes deisio theory: error ireases whe umber of features is large problem: eve for simple models (e.g.

More information

Cardinality Homework Solutions

Cardinality Homework Solutions Cardiality Homework Solutios April 16, 014 Problem 1. I the followig problems, fid a bijectio from A to B (you eed ot prove that the fuctio you list is a bijectio): (a) A = ( 3, 3), B = (7, 1). (b) A =

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Lecture 27. Capacity of additive Gaussian noise channel and the sphere packing bound

Lecture 27. Capacity of additive Gaussian noise channel and the sphere packing bound Lecture 7 Ageda for the lecture Gaussia chael with average power costraits Capacity of additive Gaussia oise chael ad the sphere packig boud 7. Additive Gaussia oise chael Up to this poit, we have bee

More information

Homework 9. (n + 1)! = 1 1

Homework 9. (n + 1)! = 1 1 . Chapter : Questio 8 If N, the Homewor 9 Proof. We will prove this by usig iductio o. 2! + 2 3! + 3 4! + + +! +!. Base step: Whe the left had side is. Whe the right had side is 2! 2 +! 2 which proves

More information

FUNDAMENTALS OF REAL ANALYSIS by. V.1. Product measures

FUNDAMENTALS OF REAL ANALYSIS by. V.1. Product measures FUNDAMENTALS OF REAL ANALSIS by Doğa Çömez V. PRODUCT MEASURE SPACES V.1. Product measures Let (, A, µ) ad (, B, ν) be two measure spaces. I this sectio we will costruct a product measure µ ν o that coicides

More information

10.1 Sequences. n term. We will deal a. a n or a n n. ( 1) n ( 1) n 1 2 ( 1) a =, 0 0,,,,, ln n. n an 2. n term.

10.1 Sequences. n term. We will deal a. a n or a n n. ( 1) n ( 1) n 1 2 ( 1) a =, 0 0,,,,, ln n. n an 2. n term. 0. Sequeces A sequece is a list of umbers writte i a defiite order: a, a,, a, a is called the first term, a is the secod term, ad i geeral eclusively with ifiite sequeces ad so each term Notatio: the sequece

More information

Lecture 2 Measures. Measure spaces. µ(a n ), for n N, and pairwise disjoint A 1,..., A n, we say that the. (S, S) is called

Lecture 2 Measures. Measure spaces. µ(a n ), for n N, and pairwise disjoint A 1,..., A n, we say that the. (S, S) is called Lecture 2: Measures 1 of 17 Course: Theory of Probability I Term: Fall 2013 Istructor: Gorda Zitkovic Lecture 2 Measures Measure spaces Defiitio 2.1 (Measure). Let (S, S) be a measurable space. A mappig

More information