Topologie en Meetkunde 2011 Lecturers: Marius Crainic and Ivan Struchiner

Size: px
Start display at page:

Download "Topologie en Meetkunde 2011 Lecturers: Marius Crainic and Ivan Struchiner"

Transcription

1 Topologie en Meetkunde 21 Leturers: Mrius Crini nd Ivn Struhiner

2

3 CHAPTER 1 The Clssifition Prolem for Compt Surfes 1. Introdution In this Chpter we will introdue nd strt deling with the lssifition prolem for ompt surfes. Giving omplete solution to this prolem is one of the min gols of the ourse. It will serve s motivtion for mny of the onepts tht will e introdue. Our pproh to the lssifition prolem will e the following: (1) We will give list of ompt onneted surfes, ll of whih will e onstruted from polygonl region in the plne y identifying its edges in pirs. (2) We will show tht ny ompt onneted surfe is homeomorphi to one in the list. (3) We will show tht ny two surfes in the list re not homeomorphi to eh other. Prts (1) nd (2) will e delt with in this hpter, while prt (3) will e done only fter we introdue the fundmentl group nd lern how to lulte it (vi the Seifert - Vn Kmpen Theorem). To e it more preise out prt (2) in the pln ove, wht we will show is tht ny tringulle ompt surfe is homeomorphi to one in the list. It turns out tht every ompt surfe is in ft tringulle, nd we hope to ome k to this t some point in the ourse. 2. Topologil Mnifolds The min ojets tht will e studied in this hpter re topologil surfes, whih re simply 2-dimensionl topologil mnifolds. Definition 1.1. An n-dimensionl topologil Mnifold is topologil spe (X, T ) whih stisfies the following properties: (1) X is Husdorff; (2) X dmits ountle open over {U i } i N suh tht eh U i is homeomorphi to n open set in R n. Eh open U i together with homeomorphism ϕ i : U i V i R n will e lled oordinte hrt of X. Remrk 1.2. The seond ondition in the definition ove n e restted s: X is seond ountle nd eh point of X dmits n open neighorhood whih is hrt. It the follows tht X is lolly ompt nd seond ountle, nd thus metrizle, i.e., the topology of X is indued y metri. Definition 1.3. A surfe is 2-dimensionl topologil mnifold. Exmple 1.4 (The SphereS 2 ). We define the sphere S 2 to e the quotient spe otined from squre y identifying its order ording to the Figure 1. Thus, if we denote the unit intervl [0,1] y I, then S 2 = {(x,y) I I}/ where we identify (0,y) (1 y,1), nd (x,0) (1,1 x). 3

4 4 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES The sphere otined from squre glueing s indited in the piture Exerise 1.1. (2) Show tht it is surfe. Figure 1. (1) Show tht S 2 is homeomorphi to the stndrd sphere {(x,y,z) R 3 : x 2 +y 2 +z 2 = 1.} Exmple 1.5 (The Torus T 2 ). We define the torus T 2 to e the quotient spe otined from the unit squre y identifying its order ording to the Figure 2. Thus, T 2 = {(x,y) I I}/ where we identify (0,y) (1,y), nd (x,0) (x,1). Figure 2. Exerise 1.2. Let S 1 = {(x,y) R 2 : x 2 +y 2 = 1} e the stndrd irle. (1) Show tht the torus T 2 is homeomorphi to S 1 S 1. (2) Show tht it is surfe. Exmple 1.6 (The Projetive Spe P 2 ). We define the projetive spe P 2 to e the quotient spe otined from the unit squre y identifying its order ording to the Figure 3. Thus, P 2 = {(x,y) I I}/ where we identify (0,y) (1,y), nd (x,0) (1 x,1). Exerise 1.3. Let D R 2 denote the (losed) disk of rdius 1. (1) Show tht P 2 is homeomorphi to the quotient spe otined from D y identifying its order S 1 vi the ntipodl mp (Figure 4) A : S 1 S 1, A(x,y) = ( x, y).

5 2. TOPOLOGICAL MANIFOLDS 5 ~ Figure 3. (2) Show tht P 2 is homeomorphi to the quotient spe otined from the stndrd sphere y identifying point p with its ntipodl p. (3) Show tht P 2 is homeomorphi to the spe of lines through the origin in R 3. (4) Show tht it is surfe. The relevnt informtion to reover the lines Lines in the spe determined y their intersetions with the sphere Projet down (homeomorphilly) onto the dis The dis on whih we still hve to glue the ntipodl points on its irle oundry Figure 4. There is very si opertion whih llows us to onstrut new mnifold out of two given mnifolds. Definition 1.7. Given two topologil mnifolds M nd N of the sme dimension, define their onneted sum, denoted M#N s follows: remove from M nd N two smll lls B 1 nd B 2 nd glue M B 1 nd N B 2 long the sphere B 1 = B 2. For surfes, it mens tht we remove two smll disks nd we glue the remininig spes long the oundy irles (Figure 5). We n desrie this opertion with more detils: Remove n Open Disk: We remove from M nd N n open suset D 1 nd D 2 eh of whih is homeomorphi to n open disk in R 2. Glue long the Boundry: We fix homeomorphism ϕ : D 1 D 2 nd we tke the quotient spe M#N = (M D 1 ) (N D 2 )/ where x y if nd only if x = y or x D 1, y D 2, nd ϕ(x) = y.

6 6 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES mke holes glue Figure 5. Conneted Sum Exmple 1.8. Theonneted sumof two tori is thedouletorus T 2. Repeting theopertion of onneted sum, oneotins ll tori with ritrry numerof holes (see Figure 6 for theg = 2): T g = T#...#T. }{{} g times Figure 6. Doule Torus. Similrly, one onsiders the onneted sum of h opies of P 2 : P h = P 2 #...#P 2. }{{} h times Exerise 1.4. Show tht the onneted sum M#S 2 of ny surfe M with the sphere S 2 is homeomorphi to M itself. We ould, in prinipl, onsider more surfes y onsidering other exmples of onneted sums (for exmple of torus with projetive spe), ut s we will soon see, we hve lredy otined omplete list of ll ompt onneted surfes: Theorem 1.9. Any ompt onneted surfe is homeomorphi to one of the following: (1) A sphere S 2, (2) A onneted sum of Tori (plurl of Torus) T g, with g N, or (3) A onneted sum of projetive spes P h, with h N.

7 3. THE BASIC BUILDING BLOCKS: POLYGONAL REGIONS 7 3. The Bsi Building Bloks: Polygonl Regions In this setion we will show how to onstrut surfes out of polygonl regions of the plne, y identifying its edges in pirs. Intuitively, polygonl region is suset of the plne whih looks like in Figure 7. Let us explin how to mke this preise. P 1 P P P P2 Polygonl region Figure 7. Polygonl Region. Fix irle in R 2, pik n+1 points on it nd order them in ounterlokwise diretion {p 0,...,p n }. For eh 0 < i n onsider the line pssing through p i 1 nd p i. It divides R 2 into two hlf-plnes. Let H i e the hlf-plne whih ontins ll the other points p j. Let P e the set P = H 1 H 2 H n. Definition An n-sided polygonl region of the plne is ny suset of R 2 otined y the reipe ove. Assoited to polygonl region will will use the following nottion: Verties: The points p i will e lled verties of P. The set of ll verties of P will e denoted y V(P). Edges: The line segment joining p i 1 nd p i will e denoted y e i, nd will e lled n edge of P. The set of ll edges of P will e denoted y E(P) Border: The union of ll edges of P will e denoted y P nd will e lled the order of P. Interior: The omplement of P in P will e denoted y Int(P) nd will e lled the interior of P. It will lso e importnt to introdue orienttions on the edges of polygon, nd to speify wht mp etween edges is (this is how we will e le the mke preise the notion of glueing one edge to nother ).

8 8 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES Definition (1) Let L R 2 e line segment. An orienttion of L is hoie of ordering of its end points. Suh n orienttion will e represented y n rrow, nd we will sy tht L is line from to (Figure 8). (2) If L is line from to, nd L is line segment from to d, then positive liner mp from L to L is the homeomorphism h : L L whih ssoites to x = (1 t)+t L the point h(x) = (1 t)+td x the liner trnsformtion h h(x) d Figure 8. Positive Liner Mps. 4. Glueing the Edges of Polygonl Region Sine we will e onsidering (disjoint unions of) polygonl regions with severl identifitions on the orders, we must find onvenient wy of keeping trk of suh glueing proedures. For this, we will introdue the onept of lels: Definition A leling of polygonl region P is mp E(P) Λ from the set of edges of P to set Λ, whose elements will e lled lels. Given polygonl region long with: (1) leling of its edges, nd (2) n orienttion on edge, we onsider the spe X = P/ where If p Int(P), then p is equivlent only to itself, i,e,m p p; If e i nd e j re edges with the sme lel, we let h : e i e j e positive liner mp nd we set x e i h(x) e j. In this se we sy tht X ws otined from P y glueing its edges together ording to the orienttion nd the leling. We remrk tht we lso llow X to e otined from finite disjoint unit of polygonl regions with identifitions on the edges. Thus X my e either onneted or disonneted. As n illustrtion of spes otined in this wy, onsider the following exmples: Exmple The disk n e otined from tringle with two lels ( nd ) nd orienttions on the edges s shown in the Figure 9 elow. Exmple As we hve seen in Figure 1 the sphere n e otined from squre with to lels nd orienttions on the edges.

9 5. OPERATIONS ON LABELING SCHEMES 9 X = homeomorphism Figure 9. The Disk Exmple In Figure 10 we illustrte the ft tht sine we llow X to e otined y glueing the edges of more thn one polygonl regions, it follows tht X is not neessrily onneted. d e d d f e d Figure 10. X n e onneted or disonneted. Finlly, in order to keep trk of the orienttions of the edges long with the lels, we will now introdue the notion of leling sheme. Let e k is n edge of P with lel ik. If e k is oriented from p k 1 to p k, then we put en exponent +1 on ik. If e k is oriented from p k to p k 1, then we put n exponent 1 on ik. Then P, its lels, nd the orienttions on its edges is totlly speified up to homeomorphism whih respets the quotient spe X y the symol w = ǫ 1 i1 ǫ 2 i2 ǫn i n, ǫ i = ±1. Definition The symol w = ǫ 1 i1 ǫ 2 i2 ǫn i n will e lled leling sheme for P with respet to its lels nd orienttions. InFigure11resomeexmplesofhowtogokndforthfrom(disjointunionof)polygonl regions with lels nd orienttions to leling shemes. 5. Opertions on Leling Shemes It is importnt to note tht we re interested in the quotient spe X otined from polygonl region y gluing its edges nd not on the leling sheme itself. With this in mind, we will now introdue some opertions we n perform on the leling sheme (or equivlently on the polygonl region) whih will leve the resulting quotient spe unhnged. I) Cutting: The opertion of utting is desried t the level of leling shemes s follows. Suppose tht w = ǫ 1 i1 ǫp i p ǫ p+1 i p+1 ǫn i n is leling sheme nd let e

10 10 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES Leling Sheme 1 w = 1 Reonstruting the Polygonl Region d Leling Sheme Reonstruting the Polygonl Region 1 1 w = w = d Figure 11. Leling Shemes. lel whih does not pper elsewhere in the sheme. Then we my reple w y pir of leling shemes w 1 = ǫ 1 i1 ǫp i p, nd w 2 = 1 ǫ p+1 i p+1 ǫn i n. For geometri interprettion see the Figure 12. II) Glueing: The reverse opertion of utting is known s glueing. In terms of the leling sheme it n e desried s follows: If w 1 = ǫ 1 i1 ǫp i p, nd 1 ǫ p+1 i p+1 ǫn i n re leling shemes, nd the lel only ppers where it is indited ove, then we my reple w 1 nd w 2 y the leling sheme w = ǫ 1 i1 ǫp i p ǫ p+1 i p+1 ǫn i n. CUTTING GLUEING P Q1 Q2 Figure 12. Cutting & Glueing Before we go on with the desription of the opertions, let us tke smll rek to write down more formlly the result of utting nd glueing:

11 5. OPERATIONS ON LABELING SCHEMES 11 Proposition Suppose tht X is otined y glueing the edges of n polygonl regions with leling sheme w 1 = y 0 y 1,w 2,...,w n. Let e lel tht does not pper in the sheme. If oth y 0 nd y 1 hve length t lest 2, then X n lso e otined y n+1 polygonl regions with leling sheme y 0, 1 y 1,w 2,...,w n. Exerise 1.5. The purpose of this exerise is to prove the proposition ove. Denote y P 1,...,P n the originl n polygonl regions nd y Q 0,Q 1,P 2,...P n the n+1 polygonl regions otined y utting P 1. Denote lso y X = ( n i=1 P i)/ the spe otined y glueing the edges efore utting, nd y Y = (Q n 0 Q1 i=2 P i)/ the spe otined fter performing the utting opertion. Consider the ovious mp n n Φ : Q 0 Q1 P i P i. Show tht: (1) Φ indues well defined mp ϕ : Y X, i.e., if q q, then Φ(q) Φ(q ). (2) ϕ is ontinuous (use the definition of the quotient topology). (3) ϕ is injetive, i.e., if Φ(q) Φ(q ), then q q. (4) ϕ is surjetive. (5) X nd Y re oth ompt nd Husdorff. (6) ϕ is homeomorphism. i=2 With only the opertions of utting nd gluing we n now esily understnd how to onstrut the onneted sums of tori (nd projetive spes) out of polygonl regions with identifition on the orders: Exmple 1.18 (The Doule Torus T 2 ). Let P e the 8-sided polygonl region with leling sheme w = 1 1 d 1 d 1. In order to see tht X = P/ is homeomorphi to doule torus, we will pply the utting nd glueing opertions desried ove (see Figure 13). Thus we first ut P into two 5-sided polygonl regions Q 1 nd Q 2, with leling shemes w 1 = 1 1 e nd w 2 = e 1 d 1 d 1 respetively. Now, it is ler tht fter identifying the verties of Q 1 orrespond to the endpoints of e, we otin the usul representtion of the torus s quotient of the unit squre, ut with n open disk removed. The edge e then eomes the order of the open disk. The sme is oviously true lso for Q 2. Thus, if we now pply the glueing opertion, wht we otin is the quotient of two opies of the torus, oth with n open disk removed y identifying the order of the disk. This is preisely the onstrution of the onneted sum. Exerise 1.6. ShowthtT g isotinedfrom4g-sidedpolygonl regionwithlelingsheme i=1 w = ( ) ( g g 1 g 1 g ). Exmple A similr rgument s the one presented ove shows tht for h > 1, P h n e otined from 2h-sided polygonl region with leling sheme w = ( 1 1 ) ( h h ). We now ontinue to desrie the rest of the opertions tht my e performed on the leling sheme. We suggest tht you onvine yourself tht eh of these opertions leve the quotient spe unhnged.

12 12 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES Cut The doule torus otined from n otogone y identifying its sides s shown y the lels: g l u e the sides Glueing Figure 13. Conneted Sum of Two Tori. Cut 2 2 Glue P # P Figure 14. Conneted Sum of Two Projetive Spes. Definition Let w 1,w 2,...,w n e leling sheme nd let y e string of lels tht ppers in the leling sheme (it my pper in more tht one ple of the sheme). We will sy tht y is removle string if

13 5. OPERATIONS ON LABELING SCHEMES 13 (1) ll lels of y re distint, i.e., y = ǫ 1 i1 ǫ k ik with ip iq for ll i p i q, nd (2) the lels of y do not pper elsewhere (outside of y) in the leling sheme, i.e., for ll 1 p k, if ip ppers in the leling sheme, then it elongs to the string y. III) Unfolding Edges: If y is removle string of leling sheme, then we my reple y y lel tht does not pper elsewhere in the sheme. Geometrilly, this n e interpreted s repling sequene of edges ( folded line segment ), y single edge ( line segment) (See Figure 15). IV) Folding Edges: The reverse opertion to unfolding edges is tht of folding edges desried y: reple ll ppernes of single lel y removle string of lels. 1 3 UNFOLDING 2 2 FOLDING 3 1 Figure 15. Fold/Unfold V) Reversing Orienttions: We my hnge the the sign of the exponent of ll ourrenes of single lel in the leling sheme. In order to understnd why the quotient spe is left unhnged, rell tht we re identifying the points on two oriented edges with the sme lel y mens of positive liner mp. Note tht if the orienttion on oth edges re reversed, the identifition remins unhnged. VI) Cyli Permuttion: It is ler tht if insted of writing the leling sheme of polygonl region y strting with the lel on the edge e 1, we deide to strt with the lel on different edge nd then ontinue in the sme ounterlokwise diretion, then the quotient spe X is unhnged. We my think of this s performing rottion on the polygonl region. The effet on the leling sheme is to tke yli permuttion of its lels ǫ 1 i1 ǫn i n ǫ 2 i2 ǫn i n ǫ 1 i1. VII) Flip: We my reple leling sheme y its forml inverse: w = ǫ 1 i1 ǫn i n ǫn i n ǫ 1 i 1. Geometrilly this orresponds to flipping the polygonl region s in Figure 16 (nd then performing yli permuttion if neessry). Remrk The opertions of permuttion nd flipping should e thought of s instnes of the sme phenomen. If my pply ny Euliden trnsformtion of the plne(i.e., trnsltions, refletions nd rottions) to our originl polygonl region, the resulting ojet will e gin polygonl region whose quotient spe is homoemorphi to the originl one. Finlly, for ompleteness nd lso for further referene, we desrie two opertions tht re otined y omposing the opertions of utting/glueing with tht of folding/unfolding:

14 14 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES FLIP (UN)FLIP Figure 16. Flip/Unflip VIII) Cnel: We my reple leling sheme of the form y 0 1 y 1 y y 0 y 1 provided tht does not pperelsewhere in theleling sheme, nd othy 0 nd y 1 hve length t lest 2. Geometrilly, this opertion is represented y the sequene of digrm in Figure 17. IX) Unnel: Under the sme onditions s ove, we my reverse the opertion of neling y repling sheme y 0 y 1 y the leling sheme y 0 1 y 1, s indited in Figure 17. It should ler tht the opertions ove leve the quotient spe X unhnged. Thus, it is nturl to pose the following definition: Definition Two leling shemes re equivlent if one n e otined from the other y pplying the opertions (I) - (IX) desried ove. Exerise 1.7. Show tht this defines n equivlene reltion on the set of ll leling shemes. Exmple We hve seen tht the Klein ottle is the quotient of the unit squre y the identifition whose leling sheme is 1. Let us prove tht the Klein ottle is homeomorphi to the onneted sum of two projetive spes: 1 & 1 1 (utting) & 1 1 (permuting nd flipping) (glueing) (neling) (permuting). 6. Geometri Surfes In this setion we will onsider surfes whih re otined from polygonl region y identifying it edges in pirs. We wil then show tht every suh surfe is homeomorphi to one in the list given in Theorem 1.9. Definition A ompt nd onneted topologil surfe X is lled geometri surfe if it n e otined from polygonl region y glueing its edges in pirs.

15 6. GEOMETRIC SURFACES 15 y0 y1 y0 y1 CUT GLUE UNFOLD FOLD GLUE y0 y1 y0 y1 CUT Figure 17. Cnel/Unnel The reminder of this setion will e dedited to proving the following theorem: Theorem 1.25 (Clssifition of Geometri Surfes). Let X e geometri surfe. Then X is homeomorphi to one of the following: S 2, T g, or P h (for some g,h N). The ide of the proof is to onsider leling shemes whih give rise to geometri surfes (known s proper leling shemes) nd then to show tht ny proper leling sheme n e put into norml form y mens of the opertions introdued in the lst setion. Definition A leling sheme w 1,...,w m (for m polygonl regions) is lled proper leling sheme if eh lel ppers extly twie in the sheme. Remrk We note tht if we strt with proper leling sheme, then y pplying ny of the opertions introdued in the preeding setion gives rise to nother proper leling sheme. We n now restte Theorem 1.25 into more lgeri form: Theorem 1.28 (Norml Forms of Proper Leling Shemes). Let w e proper leling sheme of length greter or equl to 4 (of single polygonl region). Then w is equivlent to one of the following leling shemes: (1) 1 1,

16 16 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES (2), (3) ( ) ( g g 1 g 1 g ), or (4) ( 1 1 )( 2 2 ) ( h h ). Remrk Of ourse, in the list ove (1) is sphere, (2) is projetive spe, (3) is onneted sum of tori, nd (4) is onneted sum of projetive spes. The first step in the proof of Theorem 1.28 is to distinguish etween two lsses of proper lelings tht will then e treted seprtely: Definition Let w e proper leling sheme for single polygonl region. If every lel of w ppers one with n exponent +1 nd one with exponent 1 we sy tht w is of torus type. Otherwise, we sy tht w is of projetive type. We egin y deling with leling shemes of projetive type: Proposition Let w e leling sheme of projetive type. The w is equivlent to leling sheme of the following form: w ( 1 1 ) ( k k )w 1, where w 1 is leling sheme of torus type. The proof of this proposition will follow from the following lemm: Lemm If w is proper leling sheme of the form w = [y 0 ][y 1 ][y 2 ], where eh [y i ] is string of lels (whih my e empty), the w is equivlent to leling sheme of the form w [y 0 y 1 1 y 2]. Proof. We seprte the proof into two ses: Cse 1: [y 0 ] =. In this se w = [y 1 ][y 2 ]. If [y 1 ] is empty, then we re done. If [y 2 ] is empty, the we proeed s follows: w = [y 1 ] 1 [y 1 1 ] 1 (flipping) 1 1 [y 1 1 ] (permuting) [y1 1 ] (reversing orienttion of ). If oth [y 1 ] nd [y 2 ] re not empty, the we pply the opertions desried in Figure 18. Cse 2: [y 0 ]. Agin we exlude the most trivil se first. If oth [y 1 ] nd [y 2 ] re empty, then w = [y 0 ] nd permuttion rings w to the desired form. Assume now tht either [y 1 ]

17 6. GEOMETRIC SURFACES 17 y2 y2 CUT y1 y1 ROTATE AND FLIP y1 y2 y1 y2 GLUE FLIP y2 y1 y2 y1 REVERSE ORIENTATION OF AND RELABEL Figure 18. Cse 1 or [y 2 ] re non-empty. Then: w = [y 0 ][y 1 ][y 2 ] [y 0 ] & 1 [y 1 ][y 2 ] (utting) [y 1 0 ] 1 1 & [y 2 ] 1 [y 1 ] (flipping nd permuting) [y 1 0 ] 1 [y 2 ] 1 [y 1 ] (glueing nd neling) 1 [y 2 ] 1 [y 1 y 1 0 ] (permuting) 1 1 [y2 1 y 1y0 1 ] (se 1) [y 0 y 1 1 y 2] (flipping) [y 0 y 1 1 y 2] (permuting nd releling).

18 18 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES Exerise 1.8. Write the lgeri sequene of rguments presented in the proof of se 1, nd mke digrms to desrie the geometri sequene of rguments presented in se 2 of the proof. Proof (of Proposition 1.31). Let w e leling sheme of projetive type. Then there is t lest one lel of w whih ppers twie with the sme sign. Thus, w = [y 0 ][y 1 ][y 2 ] nd y using the lemm, we otin tht w is equivlent to [y 0 y1 1 y 2]. If [y 0 y1 1 y 2] is of torus type then we re done. Otherwise, there is lel is [y 0 y1 1 y 2] whih ppers twie with the sme sign, nd thus we my ssume tht w is equivlent to w [z 0 ][z 1 ][z 2 ]. We pply the lemm gin, this time to the leling sheme [z 0 ][z 1 ][z 2 ], to otin tht w [z 0 z 1 1 z 2]. If [z 0 z1 1 z 2] is of torus type we re done. Otherwise we ontinue this proess whih will end s soon s we hve put w into the desired form w ( 1 1 )...( k k )w 1 with w 1 leling sheme of torus type. Remrk We n onlude from Proposition 1.31 tht if w is proper leling sheme, then either: (1) w is of torus type, or (2) w is of the form ( 1 1 )...( k k )w 1 with w 1 leling sheme of torus type, or (3) w is of the form ( 1 1 )...( k k ) in whih se we re done (X is onneted sum of projetive spes). We must now exmine how to redue w to simpler form when w is of the form (1) or (2). Exerise 1.9. Show tht if w is proper leling sheme of length 4, then w must e equivlent to one of the following leling shemes:, 1 1, 1 1 Fromnowonwessumethtw hslengthgreterthen4, ndmoreover, thtitisirreduile, i.e., it does not ontin ny djent terms hving the sme lel, ut opposite signs (in whih se we ould perform the opertion of neling to redue the length of w). In this se we hve the following lemm: Lemm Suppose tht w is proper leling sheme of the form w = w 0 w 1, where w 1 is n irreduile sheme of torus type. Then w is equivlent to sheme of the form w 0 w 2, where w 2 hs the sme length s w 1, nd hs the form: where w 3 is of torus type or is empty. w 2 = 1 1 w 3, Proof. We will divide the proof of this lemm into severl steps. Step 1: We my ssume tht w is of the form w = w 0 [y 1 ][y 2 ][y 3 ] 1 [y 4 ] 1 [y 5 ], where some of the strings of lels [y i ] my e empty. To see this we proeed s follows. Let e the lel in w 1 whose ourrenes re s lose s possile (with the miniml mount of lels in etween them). If ppers first with n

19 6. GEOMETRIC SURFACES 19 exponent 1, then we revert the orienttion of oth ppernes of. Next, let e ny lel in etween nd 1. Then, sine nd 1 re the losest lels to eh other in w 1, it follows tht either 1 ppers fter 1, in whih se we re done, or 1 ppers in front of, in whih se we simply exhnge the lels of nd. Step 2: (1 st Surgery) w is equivlent to w w 0 [y 2 ][y 3 ] 1 [y 1 y 4 ] 1 [y 5 ]. We my ssume tht [y 1 ] (or else there is nothing to prove). Then, we perform the following opertions: w = w 0 [y 1 ][y 2 ][y 3 ] 1 [y 4 ] 1 [y 5 ] [y 2 ][y 3 ] 1 [y 4 ] 1 [y 5 ]w 0 & 1 [y 1 ] (permuting nd utting) [y 4 ] 1 [y 5 ]w 0 [y 2 ][y 3 ] 1 & 1 [y 1 ] (permuting) [y 4 ] 1 [y 5 ]w 0 [y 2 ][y 3 ] 1 [y 1 ] w 0 [y 2 ][y 3 ] 1 [y 1 y 4 ] 1 [y 5 ]. (glueing) (permuting nd releling) Step 3: (2 nd Surgery) w is equivlent to w w 0 [y 1 y 4 y 3 ] 1 1 [y 2 y 5 ]. First of ll, ssume tht w 0,y 1,y 4, nd y 5 re ll empty. Then w [y 2 ][y 3 ] 1 1 nd the result follows y permuting nd releling. Now ssume tht t lest one of the strings w 0,y 1,y 4, or y 5 is non-empty. Then, we n perform the following sequene of opertions: w w 0 [y 2 ][y 3 ] 1 [y 1 y 4 ] 1 [y 5 ] [y 2 ][y 3 ] 1 & 1 [y 1 y 4 ] 1 [y 5 ]w 0 (permuting nd utting) [y 3 ] 1 [y 2 ] & 1 [y 5 ]w 0 1 [y 1 y 4 ] (permuting) [y 3 ] 1 [y 2 ][y 5 ]w 0 1 [y 1 y 4 ] w 0 1 [y 1 y 4 y 3 ] 1 [y 2 y 5 ] w 0 [y 1 y 4 y 3 ] 1 1 [y 2 y 5 ]. (glueing) (permuting) (releling) Step 4: (3 nd Surgery) w is equivlent to w w [y 1 y 4 y 3 y 2 y 5 ].

20 20 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES We perform the following sequene of opertions: w w 0 [y 1 y 4 y 3 ] 1 1 [y 2 y 5 ] [y 1 y 4 y 3 ] 1 & 1 1 [y 2 y 5 ]w 0 (permuting nd utting) 1 [y 1 y 4 y 3 ] & 1 [y 2 y 5 ]w [y 1 y 4 y 3 ][y 2 y 5 ]w 0 1 w [y 1 y 4 y 3 y 2 y 5 ]. (permuting) (glueing) (permuting nd releling) The following grph summrizes the results tht we hve otined so fr: 1 1 or 1 1 Done! length =4 Lemm Torus Type 1.34 ( length ) ( g g 1 g 1 g ) Done! (1) w w = ( 1 1 ) ( k k )w 1 Lemm ( (2) with w 1 of torus type ) ( k k )( ) ( m m 1 m 1 m )??? (3) length =4 1 Done! w = ( 1 1 ) ( h h ) Done! Remrk The three rrows oming out of w orrespond to remrk 1.33, while the ses where the length of w is equl to 4 follow from exerise 1.9. Thus, in order to onlude the proof of Theorem 1.28 we need to desrie wht the onneted sum of tori nd projetive spes orrespond to, i.e., to redue w = ( 1 1 ) ( k k )( ) ( m m 1 m 1 m ) to its norml form. This follows from the following lemm: Lemm If w = w 0 ()( 1 1 )w 1 is proper sheme, then w w 0 ()w 1. Proof. We will mke use repetedly of Lemm 1.32 whih sttes tht [y 0 ][y 1 ][y 2 ] [y 0 y 1 1 y 2].

21 7. TRIANGULATED SURFACES 21 To prove the lemm we onsider the following sequene of opertions: w = w 0 ()( 1 1 )w 1 ()[][] 1 [w 1 w 0 ] (permuting) [][][w 1 w 0 ] (Lemm 1.32) [][][w 1 w 0 ] [][ 1 ][w 1 w 0 ] (regrouping the terms) (Lemm 1.32 nd regrouping the terms) w 0 ()w 1. The result then follows y releling the terms. (Lemm 1.32 nd permuting) We n thus onlude from the Lemm, y pplying it severl times if neessry, nd then releling, tht ( 1 1 ) ( k k )( ) ( m m 1 m 1 m ) ( 1 1 ) ( k+2m k+2m ). This finishes the proof of Theorem Exerise Throughout this setion we hve impliitly desried n lgorithm to redue ny proper leling sheme to one in the norml form of Theorem Write down this lgorithm expliitly. Exerise Use the lgorithm you developed in the exerise ove to determine whih surfe orresponds to the following leling shemes: (1) 1 1 (2) 1 (3) 1 dd 1 (4) d d 1 (5) dd (6) d d 1 7. Tringulted Surfes In this setion we will introdue the notion of tringultion on ompt Husdorff topologil spe. We will then show tht: Theorem Any tringulted ompt onneted surfe n e otined from single polygonl region y identifying its edges with respet to proper leling sheme. Theorem 1.9 will then follow from Theorem 1.28 nd the following result whih we will not prove now (ut we intend to ome k to it if time permits). Theorem Every ompt onneted surfe is tringulle (i.e., n e tringulted). We egin with the definition of tringultion: Definition Let X e ompt Husdorff topologil spe. A urved tringle in X is suspe A together with homeomorphism h : T A, where T is tringulr region in the plne. If v T is vertex, then h(v) is lled vertex of A. Similrly, if e T is n edge, then h(e) is lled n edge of A.

22 22 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES A tringultion of X is olletion A 1,...,A n of urved tringles of X whih over X, i A i = X, nd suh tht if A i A j, then either (1) A i A j = {v} is vertex, or (2) A i A j = e is n edge, nd furthermore, the mp h 1 j h i whih mps the edge h 1 i (e) of T i to the edge h 1 j (e) of T j is liner homeomorphism. Remrk By ondition (2) in the definition ove we men the tht if we pik n orienttion on h 1 i (e) then h 1 j h i indues hoie of orienttion on h 1 j (e) for whih h 1 j h i : h 1 i (e) h 1 j (e) eomes positive liner mp. For n exmple of tringultion of the sphere, see Figure 19. LABELING SCHEME TRIANGULATION Figure 19. Exerise For eh of the following spes exhiit n expliit tringultion. (1) A torus (2) ylinder (3) one (4) projetive spe (5) Möius nd, (6) Klein ottle

23 7. TRIANGULATED SURFACES 23 A tringultion {A 1,...,A n } of ompt Husdorff spe X indues leling sheme, whih will e lled the leling sheme of the tringultion, s follows: Polygonl Regions: For eh urved tringle A i, let h i : T i A i e the orresponding homeomorphism defined on the tringulr region T i. The polygonl region we will onsider is the disjoint union of the tringles T i s. Orienttion on Edges: Let e X e n edge ppering in the tringultion (i.e., it is the edge of t lest one of the urved tringles). Let v nd w e the verties t the endpoints of e. Choose n orienttion on e y delring it to go from v to w. Then if h 1 i (e) is n edge of T i, we orient it from h 1 i (v) to h 1 i (w). Lels: Let Λ = {e X : e is the edge of (t lest) one of the urved tringles} e the set of edges of the tringultion. Then if h 1 i (e) is n edge of T i, we ssoite to it the lel e Λ. Exmple Figure 19 exhiits tringultion on the sphere, nd lso the leling sheme of the tringultion. Exerise For eh of the spes in exerise 1.12, determine the leling sheme of the tringultion. Proposition If X is ompt tringulted surfe, then the leling sheme of the tringultion is proper. Proof. We need to show tht eh lel ppers extly twie in the leling sheme. The rguments needed to do this re intuitively ler. However, the esiest wy to mke them preise is y using the notion of fundmentl group. Thus, we will sketh the proof now, ut leve the detils s n exerise tht should e done fter the fundmentl group is introdued. The first step is to show tht eh lel pper t lest twie in the leling sheme. Thus, ssume tht lel ppers only one. This mens tht there is n edge e whih is the edge of only one urved tringle. Exerise 1.14 ellow shows tht this nnot hppen. The intuitive ide is tht if x e, then y removing x we will not rete hole in X, ut on the other hnd, if we remove ny point from n open set in R 2, then we do rete hole The next step is to show tht there is t most two ppernes of eh lel. Agin this will follow y removing one point trik. If lel ppers more thn twie, then there re more thn two tringles whih interset in single edge. Intuitively, this will men tht there is multiple orner whih nnot e smoothened into n open suset of R 2 (see figure 20). The preise rgument is given in exerise 1.15 ellow. Exerise 1.14 (To e done fter the definition of homotopy). Let T e tringle nd x T e point in one of the edges of T nd let U e ny neighorhood of x. Show tht ny loop in U x is homotopi to onstnt pth. Conlude tht x does not hve ny neighorhood whih is homeomorphi to n open set of R 2. Exerise 1.15 (To e done fter the Seifert vn Kmpen Theorem). Consider the spe otined y glueing together k tringles long ommon edge e, with k > 2 (Figure 20 shows the se when k = 3). Let x e e point in this ommon edge. Show tht ny neighorhood U of x ontins possily smller neighorhood V U suh tht V x is homotopy equivlent to ouquet of k 1 irles. Conlude y omputing the fundmentl group of V x tht x does not hve ny neighorhood whih is homeomorphi to n open suset of R 2. Proposition If X is ompt tringulted surfe, then X is homeomorphi to the spe otined from T i y glueing its edges ording to the leling sheme of the tringultion.

24 24 1. THE CLASSIFICATION PROBLEM FOR COMPACT SURFACES e Figure 20. Exerise Consider the mp h : T i X otined y putting together ll of the mps h i : T i A i X. Consider the spe X otined y identifying two points p nd q of T i if nd only if h(p) = h(q). Show tht X is homeomorphi to X. Proof. Let us denote Y the quotient spe otined from T i y identifying it edges with respet to the leling sheme of the tringultion. It is n immedite onsequene of the exerise ove, tht h ftors through ontinuous mp f : Y X, i.e., i T i h Y Moreover, sine h is surjetive, it follows tht f is lso surjetive. Thus, in order to prove the proposition, it suffies to show tht f is injetive (euse Y is ompt nd X is Husdorff). Let us denote y [p] Y the equivlene lss with respet to the leling sheme of the tringultion of point p in T i. Assume tht f([p]) = f([q]), for some p q. Then, y definition, it follows tht h(p) = x = h(q). Thus, either x elongs to some edge e of the tringultion on X, in whih se it is ler tht [p] = [q], or x is vertex. In this se, in order to show tht [p] = [q] (so tht f is injetive) we must verify tht the identifition of p with q is fored s onsequene of the identifition of the edges of the tringles T i s (see lso exerise 1.20). Suppose tht A i nd A j interset t vertex v. Wht we need to show is tht we n find sequene A i = A i1,a i2,...a im = A j, suh tht A ik intersets A ik+1 on ommon edge whih ontins v s its endpoint (s illustrted in Figure 21). This is the ontent of the following exerise. Exerise Given v, define two urved tringles A i nd A j with vertex v to e equivlent if we n find sequene A ik s ove. Use the remove the one point trik to show tht if there is more tht one equivlene lss of urved tringles with vertex v, then v does not hve ny neighorhood in X whih is homeomorphi to n open set of R 2, nd thus X is not surfe. We now re redy to finish the proof of Theorem Wht we will show is tht we my glue the tringles T i together in order to otin the desired polygonl region. In ft, strt y f X.

25 7. TRIANGULATED SURFACES 25 Aj = Aim Aim-1 Ai2 Ai = Ai1 Figure 21. hoosing one of the tringles, sy T 1. If T i is nother tringle whih hs lel on one of its edges whih is equl to lel of T 1, then (fter possily flipping T i ) we my glue oth tringles together. The effet of this is to redue the originl numer of tringles y two, t the expense of dding one polygonl region (whih in this se hs 4 sides) whih we denote y P 1. Next, we look t the edges of P 1. If one of the tringles T j, with j 1,i, hs lel equl to one of the lels of P 1, then, fter flipping T j if neessry, we my glue it to P 1 otining in this wy new polygonl region P 2. We ontinue this proess s long s we hve two polygonl regions ontining edges tht hve ommon lel. At some point we will reh sitution where either we otin the polygonl region P n+1 tht we were looking for, or we otin more then one disonneted polygonl region in whih none of the lels ppering in one of them pper lso in the other region. However, it is esy to see tht this nnot hppen, for in this se the quotient spe X will neessrily e disonneted. Exerise Determine the spe otined from the following leling shemes: (1),de,ef,df. (2),,def,dfe 1. Exerise Show tht the projetive spe P 2 n e otined from two Moius nds y glueing them long there oundry. Exerise Let X e the spe otined from sphere y identifying its north nd south poles (X is not surfe). Find tringultion on X suh tht the leling sheme of the tringultion determines sphere (i.e., the surfe otined y glueing the edges of the tringles with respet to the leling sheme of the tringultion is homeomorphi to sphere). Conlude tht two non-homeomorphi ompt Husdorff spes n hve tringultions whih indue the sme leling sheme. (We remrk tht this exerise gives n exmple of tringulted spe for whih the mp f from the proof of Proposition 1.43 is not injetive.)

26 CHAPTER 6 Atthing ells 1. Cells Definition 6.1. Let X e Husdorff topologil spe. An open n-ell in X is suspe e X together with homeomorphism he: Dn e X. It is lled n n-ell if he extends to ontinuous mp h e : D n X. We ll h e the defining mp of the n-ell, nd we lso sy tht e is n n-ell with defining mp h e,orthte is the imge of the n-ell. The ell oundry of e is defined y: ell (e) :=e e, where e is the losure of e in X. Thehrteristimpχ e of e is defined s the restrition χ e := h e S n 1 : S n 1 X. Remrk 6.2. Sine Dn is dense in D n (hene eh point x D n n e written s the limit of sequene of points in the interior) nd h e must e ontinuous (hene preserves the limits), given he, theextensionh e will e unique. In onlusion, nn-ell in the spe X is just suspe e X together woth ontinuous mp h e : D n X whih, when restrited to Dn,ishomeomorphismetween D n nd e. Here re some simple exmples (more will ome lter). Exmple 6.3. Note tht, for n =0,0-ellinX is the sme thing s point of X. An interesting 1-ell is e = S 1 {(1, 0)} whih is 1-ell in S 1 with defining mp h e (t) =(os(πt),sin(πt)). Exmple 6.4. Vrious ells inside the sphere re shown in Figure 1. Exmple 6.5. In generl, n open n-ell my fil to e n n-ell. This is lredy ler when n =1ndX = R. A suspe e R is n open n-ell (with some defining mp) if nd only if e =(, ) isnopenintervl(with nd - relnumersorplus/minusinfinity). Indeed, ny suh open ell will e onneted suspe of R hene it must e n intervl. From the disussions inthe previous hpter, it must e n open intervl. On the other hnd, if e =(, ) isoundedintervl(hene, re finite), then e (together with some defining mp) is 1-ell. However, un-ounded intervls nnot e mde into 1-ells. This will lso follow from the next proposition (whih imply tht the losure e of e in X must e ompt), ut let s hek it diretly here for the open 1-ell e =(1, ) togetherwiththe defining mp: he: ( 1, 1) R,t 2 t +1 83

27 84 6. ATTACHING CELLS 0ell 2ell (the sphere minus the north pole) 0ell 1ell 2ells six 0ells eight 1ells (the qurters of the irles) four 2ells (the qurter spheres) Figure 1. This nnot hve ontinuous extension to [ 1, 1] euse x n = 1+ 1 n onverges to 1, ut he (x n )=2n does not hve finite limit. Exerise 6.1. Let X e the one-point omptifition of the spe otined from D 2 y removing two points on its oundry. Desrie X in R 3 nd show tht it is the losure of 2-ell. Here re the min properties of n-ells. Proposition 6.6. If e X is n n-ell with defining mp h e : D n X, then h e (D n )=e, h e (S n 1 )= ell (e). Moreover, s mp from D n into e, h e is topologil quotient mp. Proof. Sine h e is ontinuous, we hve h e (B) h e (B) for ll B D n (prove this!). Choosing B = Dn,weotinhe (D n ) e. On the other hnd, e = h e ( Dn ) he (D n ), nd h e (D n )isompt(stheimgeofomptyontinuousmp),henelosedinx (sine X is Husdorff). This implies e h e (D n ). Sine the opposite inlusion hs een proven, we get h e (D n )=e. Wenowprove h e (S n 1 )=e e. We first show the inverse inlusion: for y e e, ythefirstprt,y = h e (x) forsomex D n nd, sine e = h e ( Dn ), x nnot e in D n ;henex S n 1.Wenowprovethediretinlusion. So let y = h e (x) withx S n 1,ndwewnttoprovethty / e. Assume the ontrry, i.e. y = h e (x )withx Dn.Sinex nd x re distint, we find U, V D n opens (in D n )suhtht x U, x V,U V =. We my ssume tht V Dn. Sine he is homeomorphism, h e (V )isopenine, henelsoin e. Sine h e : D n e is ontinuous, h 1 e (h e (V )) will e open in D n ;utitontinsx, hene

28 2. ATTACHING ONE n-cell 85 we find ɛ>0suhtht D n B(x, ɛ) h 1 e (h e(v )) (where the ll is with respet to the usul Euliden metri). Sine x U nd U is open in D n,wemyhooseɛ so smll so tht D n B(x, ɛ) U. Pik up n element z Dn B(x, ɛ). By the inlusion ove, we find z V suh tht h e (z) = h e (z ). But then oth z nd z re in Dn hene we must hve z = z.henez V.Butz U hene we otin ontrdition with U V =. Finlly,h e is topologil quotient mp s ontinuous surjetion from ompt spe to Husdorff spe. 2. Atthing one n-ell Definition 6.7. Let X e Husdorff spe nd A X losed. We sy tht X is otined from A y tthing n n-ell if there exists n n-ell e X (with some defining mp h e )suhtht X = A e, A e =. Exmple 6.8. It is ler tht the n-ll D n is otined from D n = S n 1 y tthing n n-ell (the defining mp eing the identity mp). From exmple 6.3, we see tht S 1 n e otined from point (whih is 0-ell!) y tthing 1-ell. In generl, S n n e otined from point y tthing n n-ell (see lso exmple 6.13 elow). To tret exmples treted in the previous letures suh s the torus, the Moeius nd et, the following lemm is very useful. Lemm 6.9. Let X = D n or X =[0, 1] n,ndlety e quotient of X otined y gluing (ertin) points on the oundry (X). Assume tht Y is Husdorff, Let π : X Y e the quotient mp, nd let B = π( (X)) (i.e. the spe otined from (X) y the originl gluing). Then Y is otined from B y tthing n n-ell. Proof. Sine D n nd X =[0, 1] n re homeomorphi y homeomorphism whih preserves their oundry, we my ssume tht X = D n. We then hoose s defining mp for the n-ell the quotient mp h : D n Y, hene the n-ell will e e := h( Dn ). Note tht B = π(s n 1 ). Clerly, Y = B e. Next, sine no element on the oundry of D n is equivlent (identified) with n interior element, we hve B e =. Next,sinenotwointeriorpointsofD n re equivlent, the restrition of h to Dn is injetive, hene h D n : Dn e is ontinuous ijetion. We still hve to prove tht this mp is homeomorphism, nd for this it is enough to show tht it sends losed sets to losed sets. So, let F e losed in Dn ;write F = Dn K with K D n losed. Then K is ompt (s losed inside ompt), hene h(k) will e ompt. Sine Y ws ssumed to e Husdorff, we dedue tht h(k) is losed in Y.So,toshowthth(F )islosedine, itsuffiestoshowtht h( Dn K) =e h(k).

29 86 6. ATTACHING CELLS The diret inlusion is ler. For the onverse, note tht if y elongs to the right hnd side we hve y = h(x) ndy = h(x )withx Dn nd x K, utsineinteriorpointsrenoteing identified with ny other points, we must hve x = x,heney elongs to the left hnd side. Remrk The se n = 2 is prtiulrly importnt: mny spes X n e otined from D 2 y identifying ertin prts of D 2 = S 1,ndtheidentifitionneshownonthepiture y leling y letters the prts tht re to e identified. In the quotient B = S 1 / = π(s 1 ), eh letter will pper only one (euse we identified ll the prts leled y the sme letter). When going one time round the irle, we will meet vrious lels tht will give us word whose letters re lels. Reding this word in the spe B desries the hrteristi mp. Exmple Consider the torus s quotient of X =[0, 1] [0, 1] (see Setion 5) of the first hpter, or of D 2. We n pply the previous lemm. The resulting spe B is shown in the piture (Figure 2) nd it onsists of two irles on the torus touhing eh other in one point ( nd on the piture). This spe n e drwn (is homeomorphi to) the spe onsisting of two irles in the plne touhing in one point only ( ouquet of two irles). In onlusion, T 2 n e otined from ouquet of two spheres y tthing 2-ell. q p Figure 2. Note tht, ording to the onventions from the previous remrk, the hrteristi mp χ : S 1 S 1 S 1 n e desried symolilly s: nd whih is further pitured in Figure 3. χ = 1 1 q the desription of the hrteristi mp 1 1 Figure 3.

30 2. ATTACHING ONE n-cell 87 Exmple AsimilrdisussionppliestotheMoeiusnd(setion4inthefirst hpetr). The resulting spe B, showninfigure4) ismdeofthethreesegments, nd on the Moeius nd (hene B is the oundry of the Moeius nd plus the segment ). The spe B lone (s topologil spe itself) is homeomorphi to the spe onsitsting of the irle S 1 together with segment joining the north nd the south pole (see the piture). In onlusion, the Moeius nd n e otined from this spe y tthing 2-ell., nd together form spe B homeomorphi to: n n s s Figure 4. The hrteristi mp n e desried in symols s: χ = (on the piture, put the diretions for nd so tht this formul is orret!). This, s mp defined on S 1,isfurtherpituredinFigure5. B the diretion of the pth followed y the hrteristi mp Figure 5. Exerise 6.2. Show tht S 2 n e otined y tthing 2-ell to the intervl [0, 1]. Desrie t lest two different wys of relizing this (nd explin the hrteristi mps). (Hint: see Figure 12 nd Figure 13 in Chpter 1).

31 88 6. ATTACHING CELLS Exerise 6.3. Do the sme for P 2 (see Setion 7 of the first hpter). Exerise 6.4. Do the Klein ottle. Exerise 6.5. Show tht P 2 n e otined y tthing 2-ell to the the Moeius nd. Exmple Consider the sphere S n. We lredy know tht S n = D n / D n,i.e. S n n e otined from D n y gluing ll the points of D n = S n 1 together into single point (See Setion 3 nd Figure 11 in the first hpter nd Exmple 3.24.iii in the previous hpter). Hene we n pply the previous lemm. The resulting spe B lerly onsists of one point only, hene S n n e otined from one point y djoining n n-ell (the tthing mp is, of ourse, just the onstnt mp). Exmple Consider the projetive spe P n. We rell tht P n is equl to the spe D n / otined y identifying (gluing) the ntipodl points on D n = S n 1 (see e.g. Exerise 1.27 in the first hpter). Hene, we n pply the previous lemm. The spe B resulting from the lemm will e S n 1 / - thespeotinedfroms n 1 y gluing its ntipodl points. This is just nother desription of the projetive spe nd we see tht B is equl to P n 1. In onlusion, P n n e otined from P n 1 y djoining n n-ell. Exerise 6.6. In the previous exmple, is equl to relly mens tht is homeomorphi to. Vi the sequene of is equl to tht is used in the exmple, it ppers tht P n 1 is suspe of P n.writeoutthe equlities (i.e.homeomorphisms)thtweusedtoonludethtthewy we see P n 1 s suspe of P n is vi the nonil inlusion P n 1 P n whih ssoites to line l inside R n the line inside R n+1 = R n R given y l {0} = {(x, 0) : x l} R n The hrteristi mp Note tht, using Proposition 6.6, we see tht the hrteristi mp of e n e viewed s mp χ e : S n 1 A. The role of the hrteristi mp is tht it desries the wy tht A nd e intert inside X, or, equivlently, tht it desries the reltionship etween the inlusion i : A X nd the defining mp h : D n X. Thisreltionshipish S n 1 = i χ e whih should e interpreted s ommuttive digrm: S n 1inlusion χ e A i But the rel reson tht the hrteristi mp χ e is importnt omes from the ft tht X n e reonstruted from the suspe A nd the hrteristi mp χ e.theimofthissetionistoprovethe following: Theorem For ny Husdorff spe A nd ny ontinuous mp χ : S n 1 A, thereisspe X whih is unique up to homeomorphism, with the property tht X is otined from A y djoining n n-ell with hrteristi mp equl to χ. We first estilish the following universl property from whih we will e le to dedue unqueness y formlrgument. D n X h e

32 3. THE CHARACTERISTIC MAP 89 Proposition (the universl property) Assume tht X is otined from A y djoining n n-ell e with defining mp h e : D n X. LetY e nother topologil spe. Then mp f : X Y is ontinuous if nd only if f A : A Y, f h e : D n Y re ontinuous. Moreover, the orrespondene f (f A,f h e ) defines 1-1 orrespondene etween ontinuous mps f : X Y pirs (f A,f e ) with f A : A Y nd f e : D n Y ontinuous stisfying f A χ e = f e S n 1. S n 1 χ e D n h e i f A X e f f A Y Proof. If f is ontinuous, it is ler tht f A nd f h e re ontinuous. For the onverse, ssume tht f A nd f h e re ontinuous. To show tht f is ontinuous, we will show tht, for B Y losed, f 1 (B) islosedinx. Notetht f 1 (B) A =(f A ) 1 (B),f 1 (B) e = h e ((f h e ) 1 (B)). From the first equlity nd the ontinuity of f A,wededuethtf 1 (B) A is losed in A, hene(sine A is losed in X), lso in X. On the other hnd, (f h e ) 1 (B) islosedind n,heneompt. Then h e ((f h e ) 1 (B)) is ompt inside the Husdorff X, heneitislosedinx. Sinef 1 (B) istheunion of two losed suspes of X (nmely f 1 (B) A nd f 1 (B) e), it is itself losed in X. Thisonludes the proof of the equivlene. For the seond prt we remrk tht, given f A nd f e,theonditions determine f uniquely euse X = A Im(h e ): f A = f A,f e = f h e f(x) =f A (x) ifx A, f(x) =f e (v) ifx = h e (v) e. Moreover, under the ssumption f A χ e = f e S n 1, thepreviousformulsdefinef un-miguously: if x is oth in A nd of type h e (v) withv D n,thenf A (x) =f e (v). Indeed, sine h e (v) A, v must e in S n 1,henewenwritex = χ e (v) ndwenusethessumption. Theontinuityofthempsinvolved follows from the first prt. The ft tht X only depends on A nd χ e is even stronger indited y the following: Corollry Let A e Husdorff spe nd let χ : S n 1 A e ontinuous mp. For i {1, 2}, ssumethtx i is spe whih is otined from A y djoining n n-ell e i, nd let χ i : S n 1 A e the hrteristi mp of e i. If χ 1 = χ 2,thenX 1 nd X 2 re homeomorphi. Proof. Let χ = χ 1 = χ 2,ndleth i e the mps defining the n-ell e i.wepplythelstprtofthe previous proposition to X = X 1, Y = X 2 nd to the pir (i 2,h 2 ), where i 2 : A X 2 is the inlusion. We find tht there is one nd only one ontinuous mp f 1,2 : X 1 X 2 ontinuous suh tht f 1,2 i 1 = i 2,f 2,1 h 1 = h 2. These onditions men tht: for A, f 1,2 () =, whilefory h 1 (D n ), writing y = h 1 (x), f 1,2 (y) = h 2 (x). Sine X 1 = A h e1 (D n ), these formuls do define f 1,2 uniquely, ut wht the universl property is telling us is tht f 1,2 is well defined nd it is ontinuous. Of ourse, this ould hve een heked diretly

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides. 1 PYTHAGORAS THEOREM 1 1 Pythgors Theorem In this setion we will present geometri proof of the fmous theorem of Pythgors. Given right ngled tringle, the squre of the hypotenuse is equl to the sum of the

More information

Figure 1. The left-handed and right-handed trefoils

Figure 1. The left-handed and right-handed trefoils The Knot Group A knot is n emedding of the irle into R 3 (or S 3 ), k : S 1 R 3. We shll ssume our knots re tme, mening the emedding n e extended to solid torus, K : S 1 D 2 R 3. The imge is lled tuulr

More information

Project 6: Minigoals Towards Simplifying and Rewriting Expressions

Project 6: Minigoals Towards Simplifying and Rewriting Expressions MAT 51 Wldis Projet 6: Minigols Towrds Simplifying nd Rewriting Expressions The distriutive property nd like terms You hve proly lerned in previous lsses out dding like terms ut one prolem with the wy

More information

CS 573 Automata Theory and Formal Languages

CS 573 Automata Theory and Formal Languages Non-determinism Automt Theory nd Forml Lnguges Professor Leslie Lnder Leture # 3 Septemer 6, 2 To hieve our gol, we need the onept of Non-deterministi Finite Automton with -moves (NFA) An NFA is tuple

More information

NON-DETERMINISTIC FSA

NON-DETERMINISTIC FSA Tw o types of non-determinism: NON-DETERMINISTIC FS () Multiple strt-sttes; strt-sttes S Q. The lnguge L(M) ={x:x tkes M from some strt-stte to some finl-stte nd ll of x is proessed}. The string x = is

More information

Introduction to Olympiad Inequalities

Introduction to Olympiad Inequalities Introdution to Olympid Inequlities Edutionl Studies Progrm HSSP Msshusetts Institute of Tehnology Snj Simonovikj Spring 207 Contents Wrm up nd Am-Gm inequlity 2. Elementry inequlities......................

More information

6.5 Improper integrals

6.5 Improper integrals Eerpt from "Clulus" 3 AoPS In. www.rtofprolemsolving.om 6.5. IMPROPER INTEGRALS 6.5 Improper integrls As we ve seen, we use the definite integrl R f to ompute the re of the region under the grph of y =

More information

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution Tehnishe Universität Münhen Winter term 29/ I7 Prof. J. Esprz / J. Křetínský / M. Luttenerger. Ferur 2 Solution Automt nd Forml Lnguges Homework 2 Due 5..29. Exerise 2. Let A e the following finite utomton:

More information

A Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version

A Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version A Lower Bound for the Length of Prtil Trnsversl in Ltin Squre, Revised Version Pooy Htmi nd Peter W. Shor Deprtment of Mthemtil Sienes, Shrif University of Tehnology, P.O.Bo 11365-9415, Tehrn, Irn Deprtment

More information

Chapter 3. Vector Spaces. 3.1 Images and Image Arithmetic

Chapter 3. Vector Spaces. 3.1 Images and Image Arithmetic Chpter 3 Vetor Spes In Chpter 2, we sw tht the set of imges possessed numer of onvenient properties. It turns out tht ny set tht possesses similr onvenient properties n e nlyzed in similr wy. In liner

More information

Discrete Structures Lecture 11

Discrete Structures Lecture 11 Introdution Good morning. In this setion we study funtions. A funtion is mpping from one set to nother set or, perhps, from one set to itself. We study the properties of funtions. A mpping my not e funtion.

More information

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then.

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then. pril 8, 2017 Mth 9 Geometry Solving vetor prolems Prolem Prove tht if vetors nd stisfy, then Solution 1 onsider the vetor ddition prllelogrm shown in the Figure Sine its digonls hve equl length,, the prllelogrm

More information

Comparing the Pre-image and Image of a Dilation

Comparing the Pre-image and Image of a Dilation hpter Summry Key Terms Postultes nd Theorems similr tringles (.1) inluded ngle (.2) inluded side (.2) geometri men (.) indiret mesurement (.6) ngle-ngle Similrity Theorem (.2) Side-Side-Side Similrity

More information

Section 1.3 Triangles

Section 1.3 Triangles Se 1.3 Tringles 21 Setion 1.3 Tringles LELING TRINGLE The line segments tht form tringle re lled the sides of the tringle. Eh pir of sides forms n ngle, lled n interior ngle, nd eh tringle hs three interior

More information

Geometrically Realizing Nested Torus Links

Geometrically Realizing Nested Torus Links Geometrilly Relizing Nested Torus Links mie ry ugust 18, 2017 strt In this pper, we define nested torus links. We then go on to introdue ell deomposition of nested torus links. Using the ell deomposition

More information

Part 4. Integration (with Proofs)

Part 4. Integration (with Proofs) Prt 4. Integrtion (with Proofs) 4.1 Definition Definition A prtition P of [, b] is finite set of points {x 0, x 1,..., x n } with = x 0 < x 1

More information

Part I: Study the theorem statement.

Part I: Study the theorem statement. Nme 1 Nme 2 Nme 3 A STUDY OF PYTHAGORAS THEOREM Instrutions: Together in groups of 2 or 3, fill out the following worksheet. You my lift nswers from the reding, or nswer on your own. Turn in one pket for

More information

Proving the Pythagorean Theorem

Proving the Pythagorean Theorem Proving the Pythgoren Theorem W. Bline Dowler June 30, 2010 Astrt Most people re fmilir with the formul 2 + 2 = 2. However, in most ses, this ws presented in lssroom s n solute with no ttempt t proof or

More information

Section 4.4. Green s Theorem

Section 4.4. Green s Theorem The Clulus of Funtions of Severl Vriles Setion 4.4 Green s Theorem Green s theorem is n exmple from fmily of theorems whih onnet line integrls (nd their higher-dimensionl nlogues) with the definite integrls

More information

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals AP Clulus BC Chpter 8: Integrtion Tehniques, L Hopitl s Rule nd Improper Integrls 8. Bsi Integrtion Rules In this setion we will review vrious integrtion strtegies. Strtegies: I. Seprte the integrnd into

More information

Exercise sheet 6: Solutions

Exercise sheet 6: Solutions Eerise sheet 6: Solutions Cvet emptor: These re merel etended hints, rther thn omplete solutions. 1. If grph G hs hromti numer k > 1, prove tht its verte set n e prtitioned into two nonempt sets V 1 nd

More information

CS311 Computational Structures Regular Languages and Regular Grammars. Lecture 6

CS311 Computational Structures Regular Languages and Regular Grammars. Lecture 6 CS311 Computtionl Strutures Regulr Lnguges nd Regulr Grmmrs Leture 6 1 Wht we know so fr: RLs re losed under produt, union nd * Every RL n e written s RE, nd every RE represents RL Every RL n e reognized

More information

T b a(f) [f ] +. P b a(f) = Conclude that if f is in AC then it is the difference of two monotone absolutely continuous functions.

T b a(f) [f ] +. P b a(f) = Conclude that if f is in AC then it is the difference of two monotone absolutely continuous functions. Rel Vribles, Fll 2014 Problem set 5 Solution suggestions Exerise 1. Let f be bsolutely ontinuous on [, b] Show tht nd T b (f) P b (f) f (x) dx [f ] +. Conlude tht if f is in AC then it is the differene

More information

MAT 403 NOTES 4. f + f =

MAT 403 NOTES 4. f + f = MAT 403 NOTES 4 1. Fundmentl Theorem o Clulus We will proo more generl version o the FTC thn the textook. But just like the textook, we strt with the ollowing proposition. Let R[, ] e the set o Riemnn

More information

Lesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem.

Lesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem. 27 Lesson 2: The Pythgoren Theorem nd Similr Tringles A Brief Review of the Pythgoren Theorem. Rell tht n ngle whih mesures 90º is lled right ngle. If one of the ngles of tringle is right ngle, then we

More information

CS 491G Combinatorial Optimization Lecture Notes

CS 491G Combinatorial Optimization Lecture Notes CS 491G Comintoril Optimiztion Leture Notes Dvi Owen July 30, August 1 1 Mthings Figure 1: two possile mthings in simple grph. Definition 1 Given grph G = V, E, mthing is olletion of eges M suh tht e i,

More information

(a) A partition P of [a, b] is a finite subset of [a, b] containing a and b. If Q is another partition and P Q, then Q is a refinement of P.

(a) A partition P of [a, b] is a finite subset of [a, b] containing a and b. If Q is another partition and P Q, then Q is a refinement of P. Chpter 7: The Riemnn Integrl When the derivtive is introdued, it is not hrd to see tht the it of the differene quotient should be equl to the slope of the tngent line, or when the horizontl xis is time

More information

Arrow s Impossibility Theorem

Arrow s Impossibility Theorem Rep Voting Prdoxes Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Voting Prdoxes Properties Arrow s Theorem Leture Overview 1 Rep

More information

Solutions for HW9. Bipartite: put the red vertices in V 1 and the black in V 2. Not bipartite!

Solutions for HW9. Bipartite: put the red vertices in V 1 and the black in V 2. Not bipartite! Solutions for HW9 Exerise 28. () Drw C 6, W 6 K 6, n K 5,3. C 6 : W 6 : K 6 : K 5,3 : () Whih of the following re iprtite? Justify your nswer. Biprtite: put the re verties in V 1 n the lk in V 2. Biprtite:

More information

THE PYTHAGOREAN THEOREM

THE PYTHAGOREAN THEOREM THE PYTHAGOREAN THEOREM The Pythgoren Theorem is one of the most well-known nd widely used theorems in mthemtis. We will first look t n informl investigtion of the Pythgoren Theorem, nd then pply this

More information

TOPIC: LINEAR ALGEBRA MATRICES

TOPIC: LINEAR ALGEBRA MATRICES Interntionl Blurete LECTUE NOTES for FUTHE MATHEMATICS Dr TOPIC: LINEA ALGEBA MATICES. DEFINITION OF A MATIX MATIX OPEATIONS.. THE DETEMINANT deta THE INVESE A -... SYSTEMS OF LINEA EQUATIONS. 8. THE AUGMENTED

More information

Matrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix

Matrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix tries Definition of tri mtri is regulr rry of numers enlosed inside rkets SCHOOL OF ENGINEERING & UIL ENVIRONEN Emple he following re ll mtries: ), ) 9, themtis ), d) tries Definition of tri Size of tri

More information

12.4 Similarity in Right Triangles

12.4 Similarity in Right Triangles Nme lss Dte 12.4 Similrit in Right Tringles Essentil Question: How does the ltitude to the hpotenuse of right tringle help ou use similr right tringles to solve prolems? Eplore Identifing Similrit in Right

More information

2.4 Linear Inequalities and Interval Notation

2.4 Linear Inequalities and Interval Notation .4 Liner Inequlities nd Intervl Nottion We wnt to solve equtions tht hve n inequlity symol insted of n equl sign. There re four inequlity symols tht we will look t: Less thn , Less thn or

More information

Lecture 2: Cayley Graphs

Lecture 2: Cayley Graphs Mth 137B Professor: Pri Brtlett Leture 2: Cyley Grphs Week 3 UCSB 2014 (Relevnt soure mteril: Setion VIII.1 of Bollos s Moern Grph Theory; 3.7 of Gosil n Royle s Algeri Grph Theory; vrious ppers I ve re

More information

CIT 596 Theory of Computation 1. Graphs and Digraphs

CIT 596 Theory of Computation 1. Graphs and Digraphs CIT 596 Theory of Computtion 1 A grph G = (V (G), E(G)) onsists of two finite sets: V (G), the vertex set of the grph, often enote y just V, whih is nonempty set of elements lle verties, n E(G), the ege

More information

The University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER MACHINES AND THEIR LANGUAGES ANSWERS

The University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER MACHINES AND THEIR LANGUAGES ANSWERS The University of ottinghm SCHOOL OF COMPUTR SCIC A LVL 2 MODUL, SPRIG SMSTR 2015 2016 MACHIS AD THIR LAGUAGS ASWRS Time llowed TWO hours Cndidtes my omplete the front over of their nswer ook nd sign their

More information

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions MEP: Demonstrtion Projet UNIT 4: Trigonometry UNIT 4 Trigonometry tivities tivities 4. Pythgors' Theorem 4.2 Spirls 4.3 linometers 4.4 Rdr 4.5 Posting Prels 4.6 Interloking Pipes 4.7 Sine Rule Notes nd

More information

GM1 Consolidation Worksheet

GM1 Consolidation Worksheet Cmridge Essentils Mthemtis Core 8 GM1 Consolidtion Worksheet GM1 Consolidtion Worksheet 1 Clulte the size of eh ngle mrked y letter. Give resons for your nswers. or exmple, ngles on stright line dd up

More information

INTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable

INTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable INTEGRATION NOTE: These notes re supposed to supplement Chpter 4 of the online textbook. 1 Integrls of Complex Vlued funtions of REAL vrible If I is n intervl in R (for exmple I = [, b] or I = (, b)) nd

More information

Green s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e

Green s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e Green s Theorem. Let be the boundry of the unit squre, y, oriented ounterlokwise, nd let F be the vetor field F, y e y +, 2 y. Find F d r. Solution. Let s write P, y e y + nd Q, y 2 y, so tht F P, Q. Let

More information

Geometry of the Circle - Chords and Angles. Geometry of the Circle. Chord and Angles. Curriculum Ready ACMMG: 272.

Geometry of the Circle - Chords and Angles. Geometry of the Circle. Chord and Angles. Curriculum Ready ACMMG: 272. Geometry of the irle - hords nd ngles Geometry of the irle hord nd ngles urriulum Redy MMG: 272 www.mthletis.om hords nd ngles HRS N NGLES The irle is si shpe nd so it n e found lmost nywhere. This setion

More information

Math 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1)

Math 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1) Green s Theorem Mth 3B isussion Session Week 8 Notes Februry 8 nd Mrh, 7 Very shortly fter you lerned how to integrte single-vrible funtions, you lerned the Fundmentl Theorem of lulus the wy most integrtion

More information

Algorithms & Data Structures Homework 8 HS 18 Exercise Class (Room & TA): Submitted by: Peer Feedback by: Points:

Algorithms & Data Structures Homework 8 HS 18 Exercise Class (Room & TA): Submitted by: Peer Feedback by: Points: Eidgenössishe Tehnishe Hohshule Zürih Eole polytehnique fédérle de Zurih Politenio federle di Zurigo Federl Institute of Tehnology t Zurih Deprtement of Computer Siene. Novemer 0 Mrkus Püshel, Dvid Steurer

More information

Chapter 4 State-Space Planning

Chapter 4 State-Space Planning Leture slides for Automted Plnning: Theory nd Prtie Chpter 4 Stte-Spe Plnning Dn S. Nu CMSC 722, AI Plnning University of Mrylnd, Spring 2008 1 Motivtion Nerly ll plnning proedures re serh proedures Different

More information

Factorising FACTORISING.

Factorising FACTORISING. Ftorising FACTORISING www.mthletis.om.u Ftorising FACTORISING Ftorising is the opposite of expning. It is the proess of putting expressions into rkets rther thn expning them out. In this setion you will

More information

QUADRATIC EQUATION. Contents

QUADRATIC EQUATION. Contents QUADRATIC EQUATION Contents Topi Pge No. Theory 0-04 Exerise - 05-09 Exerise - 09-3 Exerise - 3 4-5 Exerise - 4 6 Answer Key 7-8 Syllus Qudrti equtions with rel oeffiients, reltions etween roots nd oeffiients,

More information

A Study on the Properties of Rational Triangles

A Study on the Properties of Rational Triangles Interntionl Journl of Mthemtis Reserh. ISSN 0976-5840 Volume 6, Numer (04), pp. 8-9 Interntionl Reserh Pulition House http://www.irphouse.om Study on the Properties of Rtionl Tringles M. Q. lm, M.R. Hssn

More information

p-adic Egyptian Fractions

p-adic Egyptian Fractions p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction

More information

In right-angled triangles the square on the side subtending the right angle is equal to the squares on the sides containing the right angle.

In right-angled triangles the square on the side subtending the right angle is equal to the squares on the sides containing the right angle. Mth 3329-Uniform Geometries Leture 06 1. Review of trigonometry While we re looking t Eulid s Elements, I d like to look t some si trigonometry. Figure 1. The Pythgoren theorem sttes tht if = 90, then

More information

Nondeterministic Automata vs Deterministic Automata

Nondeterministic Automata vs Deterministic Automata Nondeterministi Automt vs Deterministi Automt We lerned tht NFA is onvenient model for showing the reltionships mong regulr grmmrs, FA, nd regulr expressions, nd designing them. However, we know tht n

More information

Computational Biology Lecture 18: Genome rearrangements, finding maximal matches Saad Mneimneh

Computational Biology Lecture 18: Genome rearrangements, finding maximal matches Saad Mneimneh Computtionl Biology Leture 8: Genome rerrngements, finding miml mthes Sd Mneimneh We hve seen how to rerrnge genome to otin nother one sed on reversls nd the knowledge of the preserved loks or genes. Now

More information

Coalgebra, Lecture 15: Equations for Deterministic Automata

Coalgebra, Lecture 15: Equations for Deterministic Automata Colger, Lecture 15: Equtions for Deterministic Automt Julin Slmnc (nd Jurrin Rot) Decemer 19, 2016 In this lecture, we will study the concept of equtions for deterministic utomt. The notes re self contined

More information

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths Intermedite Mth Cirles Wednesdy 17 Otoer 01 Geometry II: Side Lengths Lst week we disussed vrious ngle properties. As we progressed through the evening, we proved mny results. This week, we will look t

More information

arxiv: v1 [math.gr] 11 Jan 2019

arxiv: v1 [math.gr] 11 Jan 2019 The Generlized Dehn Property does not imply liner isoperimetri inequlity Owen Bker nd Timothy Riley rxiv:1901.03767v1 [mth.gr] 11 Jn 2019 Jnury 15, 2019 Astrt The Dehn property for omplex is tht every

More information

Lecture Notes No. 10

Lecture Notes No. 10 2.6 System Identifition, Estimtion, nd Lerning Leture otes o. Mrh 3, 26 6 Model Struture of Liner ime Invrint Systems 6. Model Struture In representing dynmil system, the first step is to find n pproprite

More information

Lecture 6: Coding theory

Lecture 6: Coding theory Leture 6: Coing theory Biology 429 Crl Bergstrom Ferury 4, 2008 Soures: This leture loosely follows Cover n Thoms Chpter 5 n Yeung Chpter 3. As usul, some of the text n equtions re tken iretly from those

More information

Lecture Summaries for Multivariable Integral Calculus M52B

Lecture Summaries for Multivariable Integral Calculus M52B These leture summries my lso be viewed online by liking the L ion t the top right of ny leture sreen. Leture Summries for Multivrible Integrl Clulus M52B Chpter nd setion numbers refer to the 6th edition.

More information

SECTION A STUDENT MATERIAL. Part 1. What and Why.?

SECTION A STUDENT MATERIAL. Part 1. What and Why.? SECTION A STUDENT MATERIAL Prt Wht nd Wh.? Student Mteril Prt Prolem n > 0 n > 0 Is the onverse true? Prolem If n is even then n is even. If n is even then n is even. Wht nd Wh? Eploring Pure Mths Are

More information

Line Integrals and Entire Functions

Line Integrals and Entire Functions Line Integrls nd Entire Funtions Defining n Integrl for omplex Vlued Funtions In the following setions, our min gol is to show tht every entire funtion n be represented s n everywhere onvergent power series

More information

Arrow s Impossibility Theorem

Arrow s Impossibility Theorem Rep Fun Gme Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Fun Gme Properties Arrow s Theorem Leture Overview 1 Rep 2 Fun Gme 3 Properties

More information

Lecture 1 - Introduction and Basic Facts about PDEs

Lecture 1 - Introduction and Basic Facts about PDEs * 18.15 - Introdution to PDEs, Fll 004 Prof. Gigliol Stffilni Leture 1 - Introdution nd Bsi Fts bout PDEs The Content of the Course Definition of Prtil Differentil Eqution (PDE) Liner PDEs VVVVVVVVVVVVVVVVVVVV

More information

Nondeterministic Finite Automata

Nondeterministic Finite Automata Nondeterministi Finite utomt The Power of Guessing Tuesdy, Otoer 4, 2 Reding: Sipser.2 (first prt); Stoughton 3.3 3.5 S235 Lnguges nd utomt eprtment of omputer Siene Wellesley ollege Finite utomton (F)

More information

Bisimulation, Games & Hennessy Milner logic

Bisimulation, Games & Hennessy Milner logic Bisimultion, Gmes & Hennessy Milner logi Leture 1 of Modelli Mtemtii dei Proessi Conorrenti Pweł Soboiński Univeristy of Southmpton, UK Bisimultion, Gmes & Hennessy Milner logi p.1/32 Clssil lnguge theory

More information

The Word Problem in Quandles

The Word Problem in Quandles The Word Prolem in Qundles Benjmin Fish Advisor: Ren Levitt April 5, 2013 1 1 Introdution A word over n lger A is finite sequene of elements of A, prentheses, nd opertions of A defined reursively: Given

More information

5. Every rational number have either terminating or repeating (recurring) decimal representation.

5. Every rational number have either terminating or repeating (recurring) decimal representation. CHAPTER NUMBER SYSTEMS Points to Rememer :. Numer used for ounting,,,,... re known s Nturl numers.. All nturl numers together with zero i.e. 0,,,,,... re known s whole numers.. All nturl numers, zero nd

More information

Can one hear the shape of a drum?

Can one hear the shape of a drum? Cn one her the shpe of drum? After M. K, C. Gordon, D. We, nd S. Wolpert Corentin Lén Università Degli Studi di Torino Diprtimento di Mtemti Giuseppe Peno UNITO Mthemtis Ph.D Seminrs Mondy 23 My 2016 Motivtion:

More information

= state, a = reading and q j

= state, a = reading and q j 4 Finite Automt CHAPTER 2 Finite Automt (FA) (i) Derterministi Finite Automt (DFA) A DFA, M Q, q,, F, Where, Q = set of sttes (finite) q Q = the strt/initil stte = input lphet (finite) (use only those

More information

System Validation (IN4387) November 2, 2012, 14:00-17:00

System Validation (IN4387) November 2, 2012, 14:00-17:00 System Vlidtion (IN4387) Novemer 2, 2012, 14:00-17:00 Importnt Notes. The exmintion omprises 5 question in 4 pges. Give omplete explntion nd do not onfine yourself to giving the finl nswer. Good luk! Exerise

More information

Global alignment. Genome Rearrangements Finding preserved genes. Lecture 18

Global alignment. Genome Rearrangements Finding preserved genes. Lecture 18 Computt onl Biology Leture 18 Genome Rerrngements Finding preserved genes We hve seen before how to rerrnge genome to obtin nother one bsed on: Reversls Knowledge of preserved bloks (or genes) Now we re

More information

Counting Paths Between Vertices. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs

Counting Paths Between Vertices. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs Isomorphism of Grphs Definition The simple grphs G 1 = (V 1, E 1 ) n G = (V, E ) re isomorphi if there is ijetion (n oneto-one n onto funtion) f from V 1 to V with the property tht n re jent in G 1 if

More information

LESSON 11: TRIANGLE FORMULAE

LESSON 11: TRIANGLE FORMULAE . THE SEMIPERIMETER OF TRINGLE LESSON : TRINGLE FORMULE In wht follows, will hve sides, nd, nd these will e opposite ngles, nd respetively. y the tringle inequlity, nd..() So ll of, & re positive rel numers.

More information

Surface maps into free groups

Surface maps into free groups Surfce mps into free groups lden Wlker Novemer 10, 2014 Free groups wedge X of two circles: Set F = π 1 (X ) =,. We write cpitl letters for inverse, so = 1. e.g. () 1 = Commuttors Let x nd y e loops. The

More information

Finite State Automata and Determinisation

Finite State Automata and Determinisation Finite Stte Automt nd Deterministion Tim Dworn Jnury, 2016 Lnguges fs nf re df Deterministion 2 Outline 1 Lnguges 2 Finite Stte Automt (fs) 3 Non-deterministi Finite Stte Automt (nf) 4 Regulr Expressions

More information

Intermediate Math Circles Wednesday, November 14, 2018 Finite Automata II. Nickolas Rollick a b b. a b 4

Intermediate Math Circles Wednesday, November 14, 2018 Finite Automata II. Nickolas Rollick a b b. a b 4 Intermedite Mth Circles Wednesdy, Novemer 14, 2018 Finite Automt II Nickols Rollick nrollick@uwterloo.c Regulr Lnguges Lst time, we were introduced to the ide of DFA (deterministic finite utomton), one

More information

Algorithm Design and Analysis

Algorithm Design and Analysis Algorithm Design nd Anlysis LECTURE 5 Supplement Greedy Algorithms Cont d Minimizing lteness Ching (NOT overed in leture) Adm Smith 9/8/10 A. Smith; sed on slides y E. Demine, C. Leiserson, S. Rskhodnikov,

More information

1 Nondeterministic Finite Automata

1 Nondeterministic Finite Automata 1 Nondeterministic Finite Automt Suppose in life, whenever you hd choice, you could try oth possiilities nd live your life. At the end, you would go ck nd choose the one tht worked out the est. Then you

More information

Discrete Structures, Test 2 Monday, March 28, 2016 SOLUTIONS, VERSION α

Discrete Structures, Test 2 Monday, March 28, 2016 SOLUTIONS, VERSION α Disrete Strutures, Test 2 Mondy, Mrh 28, 2016 SOLUTIONS, VERSION α α 1. (18 pts) Short nswer. Put your nswer in the ox. No prtil redit. () Consider the reltion R on {,,, d with mtrix digrph of R.. Drw

More information

Bravais lattices and crystal systems

Bravais lattices and crystal systems 3 Brvis ltties nd rystl systems 3. Introdution The definitions of the motif, the repeting unit of pttern, nd the lttie, n rry of points in spe in whih eh point hs n identil environment, hold in three dimensions

More information

Maintaining Mathematical Proficiency

Maintaining Mathematical Proficiency Nme Dte hpter 9 Mintining Mthemtil Profiieny Simplify the epression. 1. 500. 189 3. 5 4. 4 3 5. 11 5 6. 8 Solve the proportion. 9 3 14 7. = 8. = 9. 1 7 5 4 = 4 10. 0 6 = 11. 7 4 10 = 1. 5 9 15 3 = 5 +

More information

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

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

More information

f (x)dx = f(b) f(a). a b f (x)dx is the limit of sums

f (x)dx = f(b) f(a). a b f (x)dx is the limit of sums Green s Theorem If f is funtion of one vrible x with derivtive f x) or df dx to the Fundmentl Theorem of lulus, nd [, b] is given intervl then, ording This is not trivil result, onsidering tht b b f x)dx

More information

LIP. Laboratoire de l Informatique du Parallélisme. Ecole Normale Supérieure de Lyon

LIP. Laboratoire de l Informatique du Parallélisme. Ecole Normale Supérieure de Lyon LIP Lortoire de l Informtique du Prllélisme Eole Normle Supérieure de Lyon Institut IMAG Unité de reherhe ssoiée u CNRS n 1398 One-wy Cellulr Automt on Cyley Grphs Zsuzsnn Rok Mrs 1993 Reserh Report N

More information

Electromagnetism Notes, NYU Spring 2018

Electromagnetism Notes, NYU Spring 2018 Eletromgnetism Notes, NYU Spring 208 April 2, 208 Ation formultion of EM. Free field desription Let us first onsider the free EM field, i.e. in the bsene of ny hrges or urrents. To tret this s mehnil system

More information

Pre-Lie algebras, rooted trees and related algebraic structures

Pre-Lie algebras, rooted trees and related algebraic structures Pre-Lie lgers, rooted trees nd relted lgeri strutures Mrh 23, 2004 Definition 1 A pre-lie lger is vetor spe W with mp : W W W suh tht (x y) z x (y z) = (x z) y x (z y). (1) Exmple 2 All ssoitive lgers

More information

Linear Algebra Introduction

Linear Algebra Introduction Introdution Wht is Liner Alger out? Liner Alger is rnh of mthemtis whih emerged yers k nd ws one of the pioneer rnhes of mthemtis Though, initilly it strted with solving of the simple liner eqution x +

More information

Polynomials. Polynomials. Curriculum Ready ACMNA:

Polynomials. Polynomials. Curriculum Ready ACMNA: Polynomils Polynomils Curriulum Redy ACMNA: 66 www.mthletis.om Polynomils POLYNOMIALS A polynomil is mthemtil expression with one vrile whose powers re neither negtive nor frtions. The power in eh expression

More information

2.4 Theoretical Foundations

2.4 Theoretical Foundations 2 Progrmming Lnguge Syntx 2.4 Theoretil Fountions As note in the min text, snners n prsers re se on the finite utomt n pushown utomt tht form the ottom two levels of the Chomsky lnguge hierrhy. At eh level

More information

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4.

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4. Mth 5 Tutoril Week 1 - Jnury 1 1 Nme Setion Tutoril Worksheet 1. Find ll solutions to the liner system by following the given steps x + y + z = x + y + z = 4. y + z = Step 1. Write down the rgumented mtrix

More information

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b CS 294-2 9/11/04 Quntum Ciruit Model, Solovy-Kitev Theorem, BQP Fll 2004 Leture 4 1 Quntum Ciruit Model 1.1 Clssil Ciruits - Universl Gte Sets A lssil iruit implements multi-output oolen funtion f : {0,1}

More information

Lecture 3. In this lecture, we will discuss algorithms for solving systems of linear equations.

Lecture 3. In this lecture, we will discuss algorithms for solving systems of linear equations. Lecture 3 3 Solving liner equtions In this lecture we will discuss lgorithms for solving systems of liner equtions Multiplictive identity Let us restrict ourselves to considering squre mtrices since one

More information

CHENG Chun Chor Litwin The Hong Kong Institute of Education

CHENG Chun Chor Litwin The Hong Kong Institute of Education PE-hing Mi terntionl onferene IV: novtion of Mthemtis Tehing nd Lerning through Lesson Study- onnetion etween ssessment nd Sujet Mtter HENG hun hor Litwin The Hong Kong stitute of Edution Report on using

More information

] dx (3) = [15x] 2 0

] dx (3) = [15x] 2 0 Leture 6. Double Integrls nd Volume on etngle Welome to Cl IV!!!! These notes re designed to be redble nd desribe the w I will eplin the mteril in lss. Hopefull the re thorough, but it s good ide to hve

More information

Bases for Vector Spaces

Bases for Vector Spaces Bses for Vector Spces 2-26-25 A set is independent if, roughly speking, there is no redundncy in the set: You cn t uild ny vector in the set s liner comintion of the others A set spns if you cn uild everything

More information

1.3 SCALARS AND VECTORS

1.3 SCALARS AND VECTORS Bridge Course Phy I PUC 24 1.3 SCLRS ND VECTORS Introdution: Physis is the study of nturl phenomen. The study of ny nturl phenomenon involves mesurements. For exmple, the distne etween the plnet erth nd

More information

Lecture 3: Equivalence Relations

Lecture 3: Equivalence Relations Mthcmp Crsh Course Instructor: Pdric Brtlett Lecture 3: Equivlence Reltions Week 1 Mthcmp 2014 In our lst three tlks of this clss, we shift the focus of our tlks from proof techniques to proof concepts

More information

Section 3.6. Definite Integrals

Section 3.6. Definite Integrals The Clulus of Funtions of Severl Vribles Setion.6 efinite Integrls We will first define the definite integrl for funtion f : R R nd lter indite how the definition my be extended to funtions of three or

More information

More Properties of the Riemann Integral

More Properties of the Riemann Integral More Properties of the Riemnn Integrl Jmes K. Peterson Deprtment of Biologil Sienes nd Deprtment of Mthemtil Sienes Clemson University Februry 15, 2018 Outline More Riemnn Integrl Properties The Fundmentl

More information

Convert the NFA into DFA

Convert the NFA into DFA Convert the NF into F For ech NF we cn find F ccepting the sme lnguge. The numer of sttes of the F could e exponentil in the numer of sttes of the NF, ut in prctice this worst cse occurs rrely. lgorithm:

More information

Graph States EPIT Mehdi Mhalla (Calgary, Canada) Simon Perdrix (Grenoble, France)

Graph States EPIT Mehdi Mhalla (Calgary, Canada) Simon Perdrix (Grenoble, France) Grph Sttes EPIT 2005 Mehdi Mhll (Clgry, Cnd) Simon Perdrix (Grenole, Frne) simon.perdrix@img.fr Grph Stte: Introdution A grph-sed representtion of the entnglement of some (lrge) quntum stte. Verties: quits

More information