Dynamics of Piecewise Continuous Functions

Size: px
Start display at page:

Download "Dynamics of Piecewise Continuous Functions"

Transcription

1 Dyamics of Piecewise Cotiuous Fuctios Sauleh Ahmad Siddiqui April 30 th, 2007 Abstract I our paper, we explore the chaotic behavior of a class of piecewise cotiuous fuctios defied o a iterval X i the real lie. A fuctio or curve is piecewise cotiuous if it is cotiuous at all but a fiite umber of poits ad the left ad right had side limits exist at those poits. I particular we will be lookig at the piecewise cotiuous fuctio f : X " X for which the pieces are affie. We will show that show that f is locally evetually oto, has dese periodic poits, ad has sesitive depedece o iitial coditios. We also show that f is quasicojugate to a shift map of fiite type to prove that f is chaotic. While fuctios such as f are kow to be chaotic through proofs developed by measure theory, our paper is uique i that we use topological dyamics to show f is chaotic. Future work may exted these results to other compact metric spaces ad more geeral piecewise cotiuous fuctios. 1

2 \Sectio 1. Itroductio A dyamical system is a meas of describig how oe state develops ito aother state over the course of time. Techically, a dyamical system is a smooth actio of the real umbers or the itegers o aother object [W]. The study of dyamical systems, the brach of mathematics that attempts to uderstad processes i motio, traces its roots to the developmet of models based o oliear ordiary differetial equatios ad their solutios [D]. Newto worked with such problems, but Poicaré was the first mathematicia to study dyamical systems i depth; he came up with a idea similar to chaos whe he submitted his attempted solutio to the -body problem about a hudred years ago. After that other mathematicias, icludig Stephe Smale who used Poicaré s techiques to get ew results, studied this pheomeo of chaos (though it was t called chaos just yet!) i the 1960 s. Oe mathematicia foud chaos by accidet. I 1961, Edward Lorez was modelig chagig weather patters whe he chaged the iitial iput coditios by a extremely tiy fractio. To his amazemet, his predicted weather patters chaged drastically after oly a short period of time [D]. This observatio of a sesitive depedece o iitial coditios would later form the basis of chaos theory. Fially, i 1975 James Yorke ad T.-Y. Li published a paper titled Period Three Implies Chaos (Iterestigly, their results were first aticipated by Sarkovskii i the 1964). This was the first time the word chaos was used i scietific literature to describe the pheomea discovered by Poicaré i the late 19 th cetury [D]. Although Yorke ad Li coied the term more tha thirty years ago, mathematicias have still ot settled o a uiform defiitio of chaos [D]. Robert Devaey s defiitio is the most widely used today ad states that a dyamical system F : X " X is chaotic if the followig three coditios hold [D]. i) F is trasitive. A dyamical system is trasitive if for ay two o-empty ope sets U,V " X, there exists a k such that F k (U) "V # $. ii) F has sesitive depedece o iitial coditios. A dyamical system has sesitive depedece o iitial coditios if there exists a sesitivity costat " F > 0 such that for all o-empty ope sets U " X, ad for ay two distict poits x ad y i U, there exists a k such that F k (x) " F k (y) > # F. 2

3 iii) Periodic poits of F are dese i X. A poit x " X is a periodic poit of F if there exists a k > 0 such that F k (x) = x. The set of periodic poits of F is dese i X if for all " > 0, ad for all x " X, there exists a periodic poit p such that x " p < #. Please ote that for all x " X, F 0 (x) = x, F 1 (x) = F(x), ad F k (x) = F " F k#1 (x) for all k " #. Mathematicias have devoted a lot of time towards studyig cotiuous dyamical systems because they ca be used to model several atural pheomea (such as weather patters) as well as solve complex theoretical problems (such as the -body problem). Dr. Aalisa Craell has studied quasicotiuous dyamical systems, which was the origial motivatio for this project [C1]. Accordig to Dr. Mario Martelli, quasicotiuous systems serve to bridge the gap i the study of dyamical systems betwee measure theory ad topological dyamics [M]. Dr. Youga Choi at Motclair State Uiversity, a measure theorist, curretly studies piecewise expadig maps [C2, C3]. Our project is based o Choi s work, though we will be takig the topological dyamics route istead of usig measure theory. It is for this reaso that while we kow about her work ad results, we have ot read her methods or techiques. This paper will show that our fuctio f, similar to Choi s piecewise expadig map, is chaotic. The ext sectio will describe our fuctio f. After that, we will look at the properties of ", a well-kow shift map of fiite type, ad our fial sectio will focus o showig that the system f : X " X is quasicojugate to " : # $ #. Sectio 2. Uderstadig f Whe readig this sectio, it will be helpful to look at Figure 2.1 o page 5. We start by defiig the space X, o which our fuctio f operates. We defie X " # to be a closed iterval such that X = U I ad I k k 's are half-ope itervals for all 1 " k " ( #1) ad closed for k =. k=1 Specifically, we defie X = [d 0,d +1 ], I k = [d k"1,d k ) for all 1 " k " ( #1), I = [d,d "1 +1 ], ad we defie the poit of discotiuity i I as d. While we are allowed to specify d 0,d 1,d 2,Kd "1 ad d +1, d is determied by the legths of I 1 ad I. We deote the legth of a iterval I k as " k. Note that " k = d k # d k#1 for all 1" k " ( #1), ad " = d +1 # d #1. I Figure 2.1 = 4; that is, X is divided ito four itervals. 3

4 We defie f : X " X i the followig fashio. The fuctio f is a piecewise affie, piecewise cotiuous fuctio such that f : X " X where f I k is cotiuous for all "1 1" k " ( #1), f is cotiuous o U I k, ad f has two poits of discotiuity; oe at d +1 ad oe k=1 at d. Also, f (I k ) = I k +1 for all 1" k " ( #1), ad f (I ) = I 1 U I. Furthermore, f '(x) is costat ad positive o the iterior of each I k. For 0 " i " # 2, f (d i ) = d i+1 ; f (d "1 ) = d 0 ; f (d ) = d "1 ; ad f (d +1 ) = d +1. Agai, Figure 1 gives a picture of f for = 4. The algebraic equatio for the fuctio looks like the followig: + $ x + d 1 # " ' 2 - & d 0 ) for d 0 * x < d 1 - % ( - " 3 $ x + d 2 # " ' 3 - & d 1 ) for d 1 * x < d 2 - % ( f (x) =, M - " + $ x + d 0 # " + " ' 1 - & d #1 ) for d #1 * x < d - " % " ( - " + $ x + d #1 # " + " ' 1 - & d ) for d * x * d +1. " % " ( Note that the slope of the lies i the last iterval (for d "1 # x # d +1 ) is greater tha 1, which meas that ay two poits close by i I = [d "1,d +1 ] will be pushed far apart by oe iteratio of f. I Figures 2.1, 2.2, ad 2.3, we look at images of f uder three successive iterates. The graphs below are of the simples case where all the itervals are of equal legth ( = = " 3 = " 4 ) ad the umber of itervals i our partitio = 4. Equal slopes are colored with the same color. Also see below, multiple iteratios of f icrease the slopes of lies i the fourth iterval. 4

5 f (X) I 1 I 2 I 3 I 4 X Figure 2.1: The graph of f : X " X. 5

6 f 2 (X) I 1 I 2 I 3 I 4 X Figure 2.2: The graph of f 2 : X " X. 6

7 f 3 (X) I 1 I 2 I 3 I 4 X Figure 2.2: The graph of f 3 : X " X. 7

8 We may guess from the graphs that successive iterates of f will evetually map ay iterval I k " X across all of X. We ow show this result more rigorously i Theorem 2.1. Theorem 2.1. For every k such that 1" k ", there exists a i " # + such that f i (I k ) = X. Proof. Pick k such that 1 " k ". We begi by cosiderig the last (th) iterval. If k =, cosider f "1 (I ). The f "1 (I ) = f "2 (I 1 ) # f "2 (I ) ( ) = f "3 (I 2 ) # f "3 (I 1 ) # f "3 (I ) ad f "1 (I ) = I "1 # I "2 #$$$# I 2 # ( I 1 # I ) = X. = f 1 (I "2 ) # f 1 (I "3 ) #$ $ $# f 1 (I 1 ) # f 1 (I ), If 1 " k " #1, we kow that f "k (I k ) = I, ad therefore ad we are doe. f 2"1"k (I k ) = f ("1)+("k ) (I k ) = f ("1) f "k (I k ) = f "1 (I ) = X, The result of Theorem 2.1 is our first step to showig that f is locally evetually oto (defied later i Defiitio 3.1). While we will later show that f is locally evetually oto by establishig a quasicojugacy, Theorem 2.1 is a ice result that does t ivolve complicated methods. We have metioed how icreasig slopes of the successive iterates hit at the fuctio f beig chaotic. The followig two theorems show that f has sesitive depedece o iitial coditios. But to prove theorem 2.2, we eed to prove the followig lemma. Lemma 2.1. Pick ay two poits a ad b i the th iterval I. The, if the distace betwee a # 2 " ad b is greater tha max 1 " " & $, ', f (a) ad f (b) will be i differet itervals. % + " + " ( 8

9 Proof. Recall that = I 1 = d 1 # d 0 ad " = I = d +1 # d #1. Sice the slope of f i the th iterval is give by + ", we kow that + " " = 1. Therefore, the distace betwee d "1 ad " " d # d #1 d is give by " + " ad, similarly, the distace betwee d ad d +1 is give by " 2 + ". Therefore, if a ad b are i the th iterval ad the distace betwee them is greater tha # 2 " max 1 " " & $, ' % + " + " (, f (a) ad f (b) have to be i differet itervals (oe i I ad oe i I ). 1 This becomes clearer with the picture below. Figure 2.2: Behavior of fuctio i I 9

10 Now we are ready to prove the followig theorem. Theorem 2.2. For ay two poits a ad b i X, there exists a i " 0 such that f i (a) ad f i (b) are i separate itervals. Proof. If a ad b are i separate itervals the f 0 (a) ad f 0 (b) are i separate itervals so we are doe. Assume istead that a ad b are i the same iterval I k with legth " k ad there exists a M " N such that for all m < M, f m (a) ad f m (b) are i the same iterval. By usig the costat slope we get f (b) " f (a) = # k +1 # k b " a, f 2 (b) " f 2 (a) = # k +2 f (b) " f (a) = # $ k +2 # k +1 ' & b " a) # k +1 # k +1 % # k ( = # k +2 # k b " a, ad so o. The distace betwee the ( k)th images of a ad b i I is give by f "k (b) " f "k (a). We see the that f "k (b) " f "k (a) # $ $ k b " a. By Lemma 2.1, if the distace # 2 " betwee two poits is greater tha max 1 " " & $, ' i the th iterval, the the ext iteratio % + " + " ( of f will take the poits ito separate itervals. There are three possibilities at this poit. Oe possibility is that f "k (b) " f "k (a) # $ % 2 $ b " a # max 1 $ $ ( &, ) $ k ' + $ + $ * i which case the ext iteratio of f takes images of a ad b ito differet itervals ad we are doe. Aother possibility is that the ext iteratio of f takes these images ito the 1 st iterval ad the subsequetly back ito the th iterval after aother 1 iteratios. Oce the images are back i the th iterval, they ca oce agai either go ito the 1 st iterval or the th iterval. Fially, the ext iteratio of f ca take images of a ad b back ito the th iterval. Let " = "(M) deote the umber of times f takes images of a ad b to the first iterval durig the first M 10

11 iteratios. Let " = "(M) deote the umber of times f takes images of a ad b to the th iterval durig the first M iteratios. We claim that if M = " k + # + $ the f M (b) " f M (a) = # $ b " a # ' & +1) # k % # 1 ( * $ #1 + ' & +1). % # ( Why is this true? We kow that if we pick ay two poits c ad e i the th iterval I, if f (c) ad f (e) are i the 1 st iterval, the distace betwee them is give by f (c) " f (e) = # 1 + # # c " e. Subsequetly, after ( 1) further iteratios of f, the images of c ad e arrive back to I, where $ their distace is give by f (c) " f (e) = c " e # ' & +1). Similarly, the distace betwee ay two % # 1 ( poits c ad e i the th iterval I, if f (c) ad f (e) are i the th iterval, is give by f (c) " f (e) = # 1 + # # c " e. The, we see that f "k +# +$ (c) " f "k +# +$ (e) % & c " e & # $ ' * ' &1 + & ) +1 *, ),. & k ( & 1 + ( + We will ow use the above claim to show that f i (a) ad f i (b) are i separate itervals for # " some i. Sice both & # " % +1( ad 1 & % +1( are greater tha oe, " $ b # a " ' & +1) $ ' $ " ' " k % ( & * $ "1 ' & +1) % " ( evetually be greater tha ay positive value as either " or " get large. Thus, for large eough values of m, f m (b) " f m (a) # $ % b " a $ ( ' +1* $ k & ) % ( ' +1* & $ ) + $1 m"(+ +1)+k # $ + $ ad we have foud a i for which f i (a) ad f i (b) are i separate itervals. + ca Theorem 2.3. The fuctio f : X " X has sesitive depedece o iitial coditios. Proof. We wat to show that there exists a sesitivity costat " f > 0 such that for ay o-empty ope set U " X, there exist two distict poits a ad b i U for which there exists a k such that f k (a) " f k (b) > # f. We will show that " f = mi {# 2,# 3,...# ($1) } is a sesitivity costat. Pick 11

12 a ope set U " X ad choose two distict poits a ad b i U where a < b such that a ad b are i the same iterval; the by Theorem 2.2, there exists a smallest k such that f k (a) ad f k (b) are i separate itervals. The oly way f k (a) ad f k (b) will be i separate itervals is that if f k"1 (a) ad f k"1 (b) are i the th iterval. The ext iteratio of f will esure that f k (a) ad f k (b) are i separate itervals (oe of them will be i the first iterval ad the other oe will be i the th iterval). The f k (a) " f k (b) > (# 2 + # 3 + # 4 + $$$ + # "1 ) > % F. Thus, f has sesitive depedece o iitial coditios. To complete the proof that f is chaotic, we eed to show that f is trasitive ad has dese periodic poits. This is difficult to do directly, so we will first study a well-kow chaotic fuctio, the shift map of fiite type, i sectio 3. We will the show that f is chaotic because it is quasicojugate to this particular shift map of fiite type. Sectio 3. Uderstadig σ We chose to study σ, a shift map of fiite type, because the space o which it operates, Σ, gives us a good way to represet poits movig ito differet itervals. That is, Σ codes the iterates of poits i X as they move because of f. We will describe this i more detail below. We defie Σ by " = {# = # 0 # 1 # 2... # j $ { 1,2,...,},%j,# j # j +1 $ A} where A (meaig allowable pairs ) is defied by A = { 12,23,34,...,( "1),,1}. That is, for all 1 " k " ( #1) if " j = k, the " j +1 = k +1; ad if " j =, the " j +1 = or " j +1 =1. Thus, we ll show a poit that starts off i the 2 d iterval ca be coded by " = ( #1) We will see that this correspods to a poit x " I 2 for which ad so o. f (x) " I 3, f 2 (x) " I 4,..., f #2 (x) " I, f "1 (x) # I, f (x) # I, f +1 (x) # I

13 We defie a metric d o Σ to describe the distace betwee two poits " = (" 0...) ad " = (" 0...) as d [",#] = % & j= 0 " j $ # j 2 j. This metric iduces a topology o Σ whose basis is defied as the set of all subsets C m [" 0 ] = {" 0 $ 0 $ 2... " m#1 $ 0 % A} where " 0 $ 0 $ 2... is a allowable sequece i Σ. That is, C m is a set of all elemets for which the first m terms are the same. Without loss of geerality, we may assume that " m#1 =. This is because the oly place two sequeces i Σ ca differ is where the previous positio is occupied by. I symbolic dyamics, these sets are commoly called cyliders. Whe " 0 are uderstood, we will abbreviate C m [" 0 ] to C m. The fuctio " : # $ # is defied, for all " # $ as "(#) = "(# 0 # 1 # 2...) = # 1 # 2... It is well kow that σ, the shift map of fiite type, is cotiuous [D]. To show that σ is chaotic o Σ, we oly eed to show that it is trasitive ad has dese periodic poits [B]. I Theorem 3.1 we will show that σ is locally evetually oto, which is stroger tha showig it is trasitive. Theorem 3.2 shows that σ has dese periodic poits. Defiitio 3.1. A fuctio F : X " X is locally evetually oto if for every o-empty ope set U " X, there exists a i such that F i (U) = X. Lemma 3.1. Give a locally evetually oto fuctio F : X " X it follows that F is trasitive. Proof. Pick o-empty ope sets V,W " X. We kow there exists a i " N such that F i (V ) = X. The, sice W is a o-empty ope subset of X, F i (V ) "W = X "W = W # $ ad we are doe. Theorem 3.1. The shift map of fiite type " : # $ # is locally evetually oto ad thus trasitive. Proof. Pick a ope set U " #. The, there exists a basis elemet C m [" 0 ] such that C m " U. The, " m (C m ) = {" m (#)} = {" m (# 0 # 1 # 2...# m$1 % 0 % 1 % 2...)} = {% 0 % 1 % 2...}. 13

14 Now, " m#1 $ 0 is a allowable pair, so " 0 is ot arbitrary. Sice all the poits of C m are similar up to " m#1, ad " m#1 =, " 0 must be either 1 or. After aother 1 iteratios, " #1 ca be ay member of a sequece. Sice " #1 " " is ay allowable sequece i Σ, " m +#1 (C m ) is the set of all allowable sequeces i Σ, ad thus the whole space Σ. Sice C m is a subset of U, " m + (U) = # ad we are doe. Theorem 3.2. The shift map of fiite type " : # $ # has dese periodic poits. Proof. Pick a o-empty ope set U " #. The, there exists a basis elemet C m [" 0 ] so that C m is a ope subset of U. The, there exists a q > 0 such that " q # 0 is a allowable pair. Now, pick a elemet " # C m such that " = " 0 $ 0 $ 2...$ q " 0 $ 0 $ 2...$ q...= " 0 $ 0 $ 2...$ q. The, " m +q +1 (#) = " m +q +1 (# 0 # 1 # 2...# m$1 % 0 % 1 % 2...% q ) = (# 0 # 1 # 2...# m$1 % 0 % 1 % 2...% q ) = #. Therefore, is a periodic poit of σ with periodicity m + q + 1 i U. Sice we chose a arbitrary ope set U i Σ, it follows that σ has dese periodic poits. (Please ote that " sigifies a elemet of Σ while " 0 ( ) sigifies repeatig a fiite sequece.) Sectio 4. Quasicojugacy This sectio of the paper is the fial step to prove that f is chaotic. We have already show that f has sesitive depedece o iitial coditios ad we have show that σ is trasitive ad has dese periodic poits. If the dyamical system ( f,x) is quasicojugate to the dyamical system (",#), the f is chaotic [C1]. Before we defie what it meas for a system to be quasicojugate to aother system, we must defie what it meas for a fuctio to be quasicotiuous. Defiitio 4.1. A fuctio F : X " Y, where X ad Y are metric spaces, is quasicotiuous if "x # X ad for "# > 0, there exists a o-empty ope set U " X with x " U ad F(U) " B # (F(x)). 14

15 I Defiitio 4.2 we will defie a fuctio S betwee the dyamical systems ( f,x) ad (",#). Defiitio 4.3 the describes the ecessary coditios for S to be a quasicojugacy. Defiitio 4.2. We defie a fuctio S : X " # by S(x) = " 0... where f i (x) " I #i ad [" 0...] # $ for all x " X. Defiitio 4.3. Let X ad Y be metric spaces ad let " ad " be fuctios such that " : X # X ad " :Y # Y. Let F be a quasicotiuous fuctio such that F : X " Y, F "1 :Y # X is cotiuous, F : X " Y is oe to oe ad oto (with the exceptio of a coutable umber of poits), ad F o " =# o F. The, the map F is called a quasicojugacy betwee the systems (", X) ad (",Y). Now cosider S : X " # where we claim S is a quasicojugacy betwee the systems (X, f ) ad (",#). Sice we kow that ay two poits i X will ed up i separate itervals by successive iteratios of f, each poit ca be writte as a uique sequece of symbols i the sequece space ". Thus, a poit i the 1 st iterval ca be writte as ( ) i the sequece space, depedig o which iterval it goes to from the th iterval. The followig theorem is just a cosequece of the fact that ay two distict poits i X have uique represetatios i the sequece space. Theorem 4.1. S : X " # is oe-to-oe. Proof. We wat to show that for ay two distict poits a ad b i X, S(a) ad S(b) are distict poits i Σ as well. Pick two distict poits a ad b i X. The, by Theorem 2.2, there exists a i " 0 such that f i (a) ad f i (b) are i separate itervals. This meas that the sequeces give by S(a) ad S(b) will evetually be differet at the ith term. Thus, for all a ad b i X, S(a) ad S(b) are distict poits i Σ. We ow show that S : X " # is almost oto (that is, it is oto except for a coutable umber of poits). The reaso that S : X " # is ot completely oto is that sequeces i Σ that start with some other umber " 0 but ed i have o correspodig poits i X. Oly 15

16 d +1 " X maps oto i Σ but, for example, there is o poit i X that maps oto ( 1) i Σ. Therefore, if we igore all the poits i Σ ot edig i a cotiuous sequece of s, S : X " # is oto. It s clear that the sequeces i Σ that ed with are coutable. Note that the periodic poits described i Theorem 3.2 do t ed i this way, so it turs out that the periodic poits i Σ have couterparts i X ad vice versa. We defie the space Σ without all sequeces that ed i as ". Theorem 4.2. S : X " # is oto. Proof. We wat to show that for all " i ", there exists a x i X such that S(x) = ". Pick " i " such that " = " 0... Now cosider the set N U N = I f "i (I #i ) = I #0 $ f "1 (I #1 ) $ f "2 (I #2 ) $ f "3 (I #3 )...f "N (I #N ). 0 I i= 0 First, ote that U 0 = f "i (I #i ) = I #0 is closed, o-empty, ad cotais i= 0 1 U 1 = I f "i (I #i ) = I #0 $ f "1 (I #1 ). i= 0 Notice that f (U 0 ) = I "1 ad f (U 1 ) = f ( I "0 # f $1 (I "1 )) = f (I "0 ) # f ( f $1 (I "1 )) % I "1. I geeral, f i (U j ) " I #i. We will use iductio to show that for all N, U N is closed, o-empty ad cotais U N +1. k Now, suppose that U k = I f "i (I #i ) is closed ad o-empty. The, cosider k +1 I i= 0 U k +1 = f "i (I #i ) = U k $ f "(k +1) (I #k+1 ). We see that U k +1 is closed because it is the itersectio of i= 0 k +1 two closed sets. Also, U k +1 " U k because U k +1 = I f "i (I #i ) = U k $ f "(k +1) (I #k+1 ). Furthermore, U k +1 is o-empty because the closed iverse images will cotai a set of poits that itersect with the origial iterval I "0. Therefore, by the priciple of mathematical iductio, U N is closed, oempty iterval ad cotais a closed ad o-empty iterval U N +1 for all N. Now let U = I U N. Sice U is composed of a ifiite itersectio of closed bouded itervals, it cotais oe poit. i= 0 " N= 0 16

17 Let this poit be x. Note that, sice x " U, x " U 0 which meas that x " I #0. I geeral, x " U N for all N. The, f (x) " I #1, f 2 (x) " I #2, ad, i geeral, f N (x) " I #N. Therefore, x ca be represeted by the sequece " = " 0... i ". Therefore, S : X " # is oto. The followig two theorems will complete our proof that S is a quasicojugacy. We will first show that S is quasicotiuous ad the that S -1 is cotiuous. Theorem 4.3. S : X " # is quasicotiuous. Proof. From our defiitio of quasicotiuity, it is sufficiet to show that "x # X ad for "# > 0, "# > 0 such that S ((x, x + ")) # B $ (S(x)). Pick x " X ad choose " > 0. Let S(x) = " 0... Choose m such that 2 m +1 < ". By the defiitio of the metric o Σ, there exists a cylider C m such that C m [" 0 ] $ B % (S(x)). Therefore, the elemets of C m are give by C m = {" 0 $ 0 $ 2...} where " 0 are the first m terms of S(x) ad " m#1 $ 0 $ 2... is a allowable sequece i Σ. Now choose " small eough such that the followig coditios hold. 1) The ope iterval(x, x + ") does ot cotai d k for ay k. 2) For all atural umbers N < m, the ope iterval ( f N (x), f N (x + ")) does ot cotai d k for ay k. 3) For all atural umbers N < m, f N (x + ") # f N (x) = " $ % $ ( ' +1* $ k & ) % ( ' +1* & $ ) + $1 N#(+ +1)+k, 2 $ < max 1 $ $ / -, 0. + $ + $ 1. This last coditio is related to our stretch factor i Lemma 2.1. Therefore, combiig the above coditios ad simplifyig our expressio, choose " such that " < $ 2 # max 1 # # ' %, ( & # 1 + # # 1 + # ) 0 # * # - * #1 -, +1/, +1/ # k + # 1. + #. N1(0 +1)+k 17

18 Our choice of " esures that for all the poits i (x, x + "), ad for all 0 " k " m f k (x, x + ") # I j for some 1 " j ". That meas that the itieraries of all poits i (x, x + ") share the same iterval for at least m iteratios of f. Therefore, all the poits i (x, x + ") will have represetative sequeces i the sequece space with correspodig first m terms. Sice all the poits i (x, x + "), f k (x, x + ") # I j for some 1" j " ad all 0 " k " m, the represetative sequeces of all these poits will have first m terms as the same as the first m terms of S(x). Therefore, all poits i (x, x + ") will have represetative sequeces i the sequece space all iside the set C m = {" 0 $ 0 $ 2...}, that is, S ((x,x + ") # C m # B $ ( S(x) ). Therefore, S is quasicotiuous. The ext theorem proves the cotiuity of the iverse image of S. We have to be careful here because ot all poits i Σ have iverse images uder S i X. For example, the poit 23 ( 1) does ot have a iverse image i X. If we avoid such poits, we ca properly defie the iverse image of S ad show that the iverse image is cotiuous. We do that i the ext defiitio ad theorem. Defiitio 4.3. We defie a fuctio S "1 : # $ X by S "1 (# ) = S "1 (# 0 # 1 # 2...) = x where x " X ad x " f #i ( I $i ) for all " # $ that do ot ed i Theorem 4.4. S "1 : # $ X is cotiuous. Proof. We wat to show that "# $ %,"& > 0,'( > 0 such that S "1 B # ($) ( ) % B & (S "1 ($)). Pick " = " 0... # $. Choose " > 0. Choose M large eough such that U M = I f "i (I #i ) $ B % (S "1 (#)) (recall that we used this defiitio of U M i theorem 4.2). The, S "1 ( C m [# 0 # 1 # 2...# M "1 ]) $ B % (S "1 (#)). Now, choose " by lettig " < 1 2. The, we have show that ( m +1 S"1 B # ($)) % S "1 ( C m ) % B & (S "1 ($)) which implies S "1 : # $ X is cotiuous. M i= 0 18

19 Fially, we are ow i a positio to prove that S is a quasicojugacy betwee the systems ( f, X) ad (",#). Theorem 4.5. S is a quasicojugacy betwee the systems ( f,x) ad (",#). Proof. By theorems 4.1, 4.2, 4.3, 4.4 we kow that S is a quasicotiuous fuctio such that S : X " #, S "1 : # $ X is cotiuous, ad S : X " # is oe to oe ad oto (with the exceptio of a coutable umber of poits). To show that S o f = " o S, it is sufficiet to prove that "x # X, f (x) = S "1 o# o S(x). Pick x " X ad let f (x) = y. Let S(x) = " = " 0... ad the S(y) = " 3... The ( ) ( ) S "1 o# o S(x) = S "1 o# $ 0 $ 2... = S "1 $ 2 $ 3... = y. Therefore, f (x) = y = S "1 o# o S(x) ad we are doe. Sectio 5. Coclusio By showig that the systems ( f,x) ad (",#) are quasicojugate we have show f is chaotic. Without this quasicojugacy, it would have bee extremely difficult ad complicated to study the dyamical properties of f. The idea of quasicojugacy is, thus, a very useful oe. The use of quasicojugacy i our project also highlights the importace of quasicotiuous fuctios i the study of dyamical systems. The systems ( f,x) ad (",#) are ot cojugate to each other, simply because S is ot a homeomorphism. But S is a quasicotiuous fuctio with a cotiuous iverse image ad those properties ca defiitely be used to our advatage i determiig the chaotic properties of f. Future projects ca exted our work to o-liear fuctios. We could also chage the cofiguratios of the fuctio i this paper by havig differet poits of cotiuity as well as a mixture of egative ad positive slopes. It would be very straightforward to show that such fuctios are chaotic. Aother iterestig study would be to divide X ito a coutably ifiite umber of itervals. Furthermore, maps that take two dimesioal figures o the plae to other two dimesioal figures could also be studied. Fially, the ultimate goal should be to exted the results of this paper to all compact metric spaces icludig the oes metioed above. 19

20 Bibliography [B] Baks, J; Brooks, J; Cairs, G; Davis, G; Stacey, P. O Devaey s Defiitio of Chaos. America Mathematical Mothly. No. 99 (1992), pp [C1] Craell, A; Fratz, M; LeMasurier, M. Closed Relatios ad Equivalece Classes of Quasicotiuous Fuctios. Real Aalysis Exchage. Vol. 31 (2), 2005/2006, pp [C2] Choi, Youga. Topology of attractors from two-piece expadig maps. Dy. Syst. 21 (2006), o. 4, [C3] Choi, Youga. Attractors from oe dimesioal Lorez-like maps. Discrete Coti. Dy. Syst. 11 (2004), o. 2-3, [D] Devaey, Robert. A First Course i Chaotic Dyamical Systems. Addiso-Wesley Publishig Compay Ic. [M] Martelli, Mario. Persoal commuicatio at Joit Mathematics Meetigs i New Orleas o Jauary 7 th, [W] Weisstei, Eric W. "Dyamical System." From MathWorld--A Wolfram Web Resource. < Last updated

Seunghee Ye Ma 8: Week 5 Oct 28

Seunghee Ye Ma 8: Week 5 Oct 28 Week 5 Summary I Sectio, we go over the Mea Value Theorem ad its applicatios. I Sectio 2, we will recap what we have covered so far this term. Topics Page Mea Value Theorem. Applicatios of the Mea Value

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

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

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

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

(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

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 XVI - Lifting of paths and homotopies

Lecture XVI - Lifting of paths and homotopies Lecture XVI - Liftig of paths ad homotopies I the last lecture we discussed the liftig problem ad proved that the lift if it exists is uiquely determied by its value at oe poit. I this lecture we shall

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

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

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

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

2.4 Sequences, Sequences of Sets

2.4 Sequences, Sequences of Sets 72 CHAPTER 2. IMPORTANT PROPERTIES OF R 2.4 Sequeces, Sequeces of Sets 2.4.1 Sequeces Defiitio 2.4.1 (sequece Let S R. 1. A sequece i S is a fuctio f : K S where K = { N : 0 for some 0 N}. 2. For each

More information

Square-Congruence Modulo n

Square-Congruence Modulo n Square-Cogruece Modulo Abstract This paper is a ivestigatio of a equivalece relatio o the itegers that was itroduced as a exercise i our Discrete Math class. Part I - Itro Defiitio Two itegers are Square-Cogruet

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations Differece Equatios to Differetial Equatios Sectio. Calculus: Areas Ad Tagets The study of calculus begis with questios about chage. What happes to the velocity of a swigig pedulum as its positio chages?

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

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

NUMERICAL METHODS FOR SOLVING EQUATIONS

NUMERICAL METHODS FOR SOLVING EQUATIONS Mathematics Revisio Guides Numerical Methods for Solvig Equatios Page 1 of 11 M.K. HOME TUITION Mathematics Revisio Guides Level: GCSE Higher Tier NUMERICAL METHODS FOR SOLVING EQUATIONS Versio:. Date:

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

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

Machine Learning Theory Tübingen University, WS 2016/2017 Lecture 11

Machine Learning Theory Tübingen University, WS 2016/2017 Lecture 11 Machie Learig Theory Tübige Uiversity, WS 06/07 Lecture Tolstikhi Ilya Abstract We will itroduce the otio of reproducig kerels ad associated Reproducig Kerel Hilbert Spaces (RKHS). We will cosider couple

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

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

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function. MATH 532 Measurable Fuctios Dr. Neal, WKU Throughout, let ( X, F, µ) be a measure space ad let (!, F, P ) deote the special case of a probability space. We shall ow begi to study real-valued fuctios defied

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

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018 CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0. THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of

More information

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled 1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how

More information

The Random Walk For Dummies

The Random Walk For Dummies The Radom Walk For Dummies Richard A Mote Abstract We look at the priciples goverig the oe-dimesioal discrete radom walk First we review five basic cocepts of probability theory The we cosider the Beroulli

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

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

Singular Continuous Measures by Michael Pejic 5/14/10

Singular Continuous Measures by Michael Pejic 5/14/10 Sigular Cotiuous Measures by Michael Peic 5/4/0 Prelimiaries Give a set X, a σ-algebra o X is a collectio of subsets of X that cotais X ad ad is closed uder complemetatio ad coutable uios hece, coutable

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

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

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

Sequences of Definite Integrals, Factorials and Double Factorials

Sequences of Definite Integrals, Factorials and Double Factorials 47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology

More information

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series. .3 Covergece Theorems of Fourier Series I this sectio, we preset the covergece of Fourier series. A ifiite sum is, by defiitio, a limit of partial sums, that is, a cos( kx) b si( kx) lim a cos( kx) b si(

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

Math 155 (Lecture 3)

Math 155 (Lecture 3) Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,

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

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

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

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

The Growth of Functions. Theoretical Supplement

The Growth of Functions. Theoretical Supplement The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that

More information

INTEGRATION BY PARTS (TABLE METHOD)

INTEGRATION BY PARTS (TABLE METHOD) INTEGRATION BY PARTS (TABLE METHOD) Suppose you wat to evaluate cos d usig itegratio by parts. Usig the u dv otatio, we get So, u dv d cos du d v si cos d si si d or si si d We see that it is ecessary

More information

7 Sequences of real numbers

7 Sequences of real numbers 40 7 Sequeces of real umbers 7. Defiitios ad examples Defiitio 7... A sequece of real umbers is a real fuctio whose domai is the set N of atural umbers. Let s : N R be a sequece. The the values of s are

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

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

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations Chapter The Solutio of Numerical Algebraic ad Trascedetal Equatios Itroductio I this chapter we shall discuss some umerical methods for solvig algebraic ad trascedetal equatios. The equatio f( is said

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

Final Review for MATH 3510

Final Review for MATH 3510 Fial Review for MATH 50 Calculatio 5 Give a fairly simple probability mass fuctio or probability desity fuctio of a radom variable, you should be able to compute the expected value ad variace of the variable

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

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

Optimally Sparse SVMs

Optimally Sparse SVMs A. Proof of Lemma 3. We here prove a lower boud o the umber of support vectors to achieve geeralizatio bouds of the form which we cosider. Importatly, this result holds ot oly for liear classifiers, but

More information

CALCULATING FIBONACCI VECTORS

CALCULATING FIBONACCI VECTORS THE GENERALIZED BINET FORMULA FOR CALCULATING FIBONACCI VECTORS Stuart D Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithacaedu ad Dai Novak Departmet

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

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

More information

2 Geometric interpretation of complex numbers

2 Geometric interpretation of complex numbers 2 Geometric iterpretatio of complex umbers 2.1 Defiitio I will start fially with a precise defiitio, assumig that such mathematical object as vector space R 2 is well familiar to the studets. Recall that

More information

2.1. The Algebraic and Order Properties of R Definition. A binary operation on a set F is a function B : F F! F.

2.1. The Algebraic and Order Properties of R Definition. A binary operation on a set F is a function B : F F! F. CHAPTER 2 The Real Numbers 2.. The Algebraic ad Order Properties of R Defiitio. A biary operatio o a set F is a fuctio B : F F! F. For the biary operatios of + ad, we replace B(a, b) by a + b ad a b, respectively.

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

Assignment 2 Solutions SOLUTION. ϕ 1 Â = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ.

Assignment 2 Solutions SOLUTION. ϕ 1  = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ. PHYSICS 34 QUANTUM PHYSICS II (25) Assigmet 2 Solutios 1. With respect to a pair of orthoormal vectors ϕ 1 ad ϕ 2 that spa the Hilbert space H of a certai system, the operator  is defied by its actio

More information

Real Variables II Homework Set #5

Real Variables II Homework Set #5 Real Variables II Homework Set #5 Name: Due Friday /0 by 4pm (at GOS-4) Istructios: () Attach this page to the frot of your homework assigmet you tur i (or write each problem before your solutio). () Please

More information

Random Models. Tusheng Zhang. February 14, 2013

Random Models. Tusheng Zhang. February 14, 2013 Radom Models Tusheg Zhag February 14, 013 1 Radom Walks Let me describe the model. Radom walks are used to describe the motio of a movig particle (object). Suppose that a particle (object) moves alog the

More information

x a x a Lecture 2 Series (See Chapter 1 in Boas)

x a x a Lecture 2 Series (See Chapter 1 in Boas) Lecture Series (See Chapter i Boas) A basic ad very powerful (if pedestria, recall we are lazy AD smart) way to solve ay differetial (or itegral) equatio is via a series expasio of the correspodig solutio

More information

CS / MCS 401 Homework 3 grader solutions

CS / MCS 401 Homework 3 grader solutions CS / MCS 401 Homework 3 grader solutios assigmet due July 6, 016 writte by Jāis Lazovskis maximum poits: 33 Some questios from CLRS. Questios marked with a asterisk were ot graded. 1 Use the defiitio of

More information

Math 2784 (or 2794W) University of Connecticut

Math 2784 (or 2794W) University of Connecticut ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really

More information

Bertrand s Postulate

Bertrand s Postulate Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a

More information

Complex Numbers Solutions

Complex Numbers Solutions Complex Numbers Solutios Joseph Zoller February 7, 06 Solutios. (009 AIME I Problem ) There is a complex umber with imagiary part 64 ad a positive iteger such that Fid. [Solutio: 697] 4i + + 4i. 4i 4i

More information

Solution. 1 Solutions of Homework 1. Sangchul Lee. October 27, Problem 1.1

Solution. 1 Solutions of Homework 1. Sangchul Lee. October 27, Problem 1.1 Solutio Sagchul Lee October 7, 017 1 Solutios of Homework 1 Problem 1.1 Let Ω,F,P) be a probability space. Show that if {A : N} F such that A := lim A exists, the PA) = lim PA ). Proof. Usig the cotiuity

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

Generalizations and Properties of the Ternary Cantor Set and Explorations in Similar Sets

Generalizations and Properties of the Ternary Cantor Set and Explorations in Similar Sets Geeralizatios ad Properties of the Terary Cator Set ad Exploratios i Similar Sets by Rebecca Stetti A capstoe project submitted i partial fulfillmet of graduatig from the Academic Hoors Program at Ashlad

More information

Math 104: Homework 2 solutions

Math 104: Homework 2 solutions Math 04: Homework solutios. A (0, ): Sice this is a ope iterval, the miimum is udefied, ad sice the set is ot bouded above, the maximum is also udefied. if A 0 ad sup A. B { m + : m, N}: This set does

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

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

Riemann Sums y = f (x)

Riemann Sums y = f (x) Riema Sums Recall that we have previously discussed the area problem I its simplest form we ca state it this way: The Area Problem Let f be a cotiuous, o-egative fuctio o the closed iterval [a, b] Fid

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

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

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES I geeral, it is difficult to fid the exact sum of a series. We were able to accomplish this for geometric series ad the series /[(+)]. This is

More information

Chapter 2. Periodic points of toral. automorphisms. 2.1 General introduction

Chapter 2. Periodic points of toral. automorphisms. 2.1 General introduction Chapter 2 Periodic poits of toral automorphisms 2.1 Geeral itroductio The automorphisms of the two-dimesioal torus are rich mathematical objects possessig iterestig geometric, algebraic, topological ad

More information

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall Iteratioal Mathematical Forum, Vol. 9, 04, o. 3, 465-475 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/imf.04.48 Similarity Solutios to Usteady Pseudoplastic Flow Near a Movig Wall W. Robi Egieerig

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 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

b i u x i U a i j u x i u x j

b i u x i U a i j u x i u x j M ath 5 2 7 Fall 2 0 0 9 L ecture 1 9 N ov. 1 6, 2 0 0 9 ) S ecod- Order Elliptic Equatios: Weak S olutios 1. Defiitios. I this ad the followig two lectures we will study the boudary value problem Here

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

Math 61CM - Solutions to homework 3

Math 61CM - Solutions to homework 3 Math 6CM - Solutios to homework 3 Cédric De Groote October 2 th, 208 Problem : Let F be a field, m 0 a fixed oegative iteger ad let V = {a 0 + a x + + a m x m a 0,, a m F} be the vector space cosistig

More information

Hoggatt and King [lo] defined a complete sequence of natural numbers

Hoggatt and King [lo] defined a complete sequence of natural numbers REPRESENTATIONS OF N AS A SUM OF DISTINCT ELEMENTS FROM SPECIAL SEQUENCES DAVID A. KLARNER, Uiversity of Alberta, Edmoto, Caada 1. INTRODUCTION Let a, I deote a sequece of atural umbers which satisfies

More information

subcaptionfont+=small,labelformat=parens,labelsep=space,skip=6pt,list=0,hypcap=0 subcaption ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, 2/16/2016

subcaptionfont+=small,labelformat=parens,labelsep=space,skip=6pt,list=0,hypcap=0 subcaption ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, 2/16/2016 subcaptiofot+=small,labelformat=pares,labelsep=space,skip=6pt,list=0,hypcap=0 subcaptio ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, /6/06. Self-cojugate Partitios Recall that, give a partitio λ, we may

More information

Lecture 2. The Lovász Local Lemma

Lecture 2. The Lovász Local Lemma Staford Uiversity Sprig 208 Math 233A: No-costructive methods i combiatorics Istructor: Ja Vodrák Lecture date: Jauary 0, 208 Origial scribe: Apoorva Khare Lecture 2. The Lovász Local Lemma 2. Itroductio

More information

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity

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

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A.

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A. Radom Walks o Discrete ad Cotiuous Circles by Jeffrey S. Rosethal School of Mathematics, Uiversity of Miesota, Mieapolis, MN, U.S.A. 55455 (Appeared i Joural of Applied Probability 30 (1993), 780 789.)

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

NBHM QUESTION 2007 Section 1 : Algebra Q1. Let G be a group of order n. Which of the following conditions imply that G is abelian?

NBHM QUESTION 2007 Section 1 : Algebra Q1. Let G be a group of order n. Which of the following conditions imply that G is abelian? NBHM QUESTION 7 NBHM QUESTION 7 NBHM QUESTION 7 Sectio : Algebra Q Let G be a group of order Which of the followig coditios imply that G is abelia? 5 36 Q Which of the followig subgroups are ecesarily

More information

Fourier Series and the Wave Equation

Fourier Series and the Wave Equation Fourier Series ad the Wave Equatio We start with the oe-dimesioal wave equatio u u =, x u(, t) = u(, t) =, ux (,) = f( x), u ( x,) = This represets a vibratig strig, where u is the displacemet of the strig

More information

f(x) dx as we do. 2x dx x also diverges. Solution: We compute 2x dx lim

f(x) dx as we do. 2x dx x also diverges. Solution: We compute 2x dx lim Math 3, Sectio 2. (25 poits) Why we defie f(x) dx as we do. (a) Show that the improper itegral diverges. Hece the improper itegral x 2 + x 2 + b also diverges. Solutio: We compute x 2 + = lim b x 2 + =

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

Lecture 6: Integration and the Mean Value Theorem. slope =

Lecture 6: Integration and the Mean Value Theorem. slope = Math 8 Istructor: Padraic Bartlett Lecture 6: Itegratio ad the Mea Value Theorem Week 6 Caltech 202 The Mea Value Theorem The Mea Value Theorem abbreviated MVT is the followig result: Theorem. Suppose

More information