J={ Infinite. if txty EX. yet U. properties X={ Example. infinite. Def. t ±Y X. top. Example : X = Rmk : X is To but not T, yet. FZCX finite set.
|
|
- Arron Berry
- 5 years ago
- Views:
Transcription
1 ( TO Tr 71 Husdorft Seprtion xiom l is To if txty E 7 set U such tht xeu y U or ye U xcf U c y is T if t ±Y 7 set U such tht xe U yet U h is Tz ( Husdorff V such tht xe U if ttxt Y E 9 V 7 sets U nd UV u v Rmk Ti Tz re properties T To but To Ti # Tz Exmple b } xnx III c Iii * Tt } so is To but not T Exmple Infinite set J F F C finite } U 4 } Finite complement ology V F f ±y c U Y } in e U yet U is T For ny U C U Vt $ U V Fz F FZC finite set UV infinite set F UFZ t is NOT Tz T finite t
2 We S ocx ocxl EIU OC lemm T xe x } is closed ( so In Ti nd Tz txe s Rpyotgg x } is closed # finite set lwys closed x } tx tye } 7 U C x } ye U C * ty 7 UC YEU El Exmple ny metric Tz ( Hndoff txty E U B ( x V dcx y > 0 0 B ( y EU YEV unv & Exmple know tht 0 x is n embedding IT ( clim Husdorff # OC C closed ( x 4 E Ux V EU ye ( x y c xx # ±y Uxvc xx # UnV$ OC C is closed # o ( is fc x g e xx oc 7 ( x g EUV C U UC re xty # eu YEV # UV U V is Huidorft ( Tz
3 CTO ( then Exmple I ] Tz pt ouv #jsg prntjftee?fjocto ] to fitot Hot g c U ge V Blfltol to h lhltoḻ fctoi ( B ( 9h01 to sf Un V p 72 Connected Rmk UB clled seprtion it NB nd B C re both UB seprtion B so B re both nd 2 if is both nd closed U seprtion is if UB seprtion 134 or B subset Y C clled if Y is in the sub ology lemm is ( C both nd closed then or
4 2 [ lr[_ F F Fz Since B 3 Ex 12 } J i } z } } I }U 2 } NOT I d i } } Ex 2 n Infinite set with the finite complement UB BC re to # B Fi Fz finite sets B UFZ t hs no nontrivil! seprtion finite is Ex 3 C o U[ 0 [ oco U [ o n n 1 C o U En o 1R[ NOT ionnecled ni Ex 4 01 ] suppose C [ 01 ] both nd closed nd OE let sup x > o [ 0 x ] C } Then oesl Clim 1 > 0 OE which is C [ e n[ 01 ] F E > 0 C > > 0 [ 0 e by Clim 2 [ 0 ] <Y< C t definition 7 > Y ye [ o ] C [ 0 C ( 7 n incresing sequence xn } C [ o limit point of [ o u nd closed e
5 Obvious let B which Then B Contrdiction f clim 3 l suppne Oscl E which 7 EZO such tht ( E te C we tht [ 0 proved ] C [ o t E ] C This contrdicts the definition of Thus we hve [ 01 ] 101 ] is In the usul ology Rmk In generl It cn be ( b ] ( b tht Intervls proved such s [ b ] etc re ( 1 IR I ( 011 so lr lso Thn ( The intermedite Vlue Theorem suppne is lr continuous f ( i c b f ( 1 for some i E Then for ce ( b 7 ny E such tht ftxec suppose fixltc t e Then f ( cc xe fn > c } co 1 ftp# B f ( s cl UB re B ZE IEB This opertion of is Lemm UB is seprtion ( re nd n 1301 Y C is sub since YC or YCB Y ( YIUIYB seprtion of Y Thm ( Properties of is in is C B C B is
6 let c so Z On i NI then since since (2 i tie I to UI IEI IEI (3 is f 7 Y continuous f( (4 Y re not empty Then Y > Y re both seprtion of B let B C UD be sub we C B ssume tht my C C BCTCE BE B the other hnd C C B is closed ( nd subset BNE the closure of C in B which C itself BNE Bc c B D This mens tht B is ( 21 T UI IEI U B be opertion i C T sub C or i CB Hi suppose I io e I io C Then tie I in > intti >?± * 4 i c ti TUi C i E I T is (3 let ZfC the restriction f Z is surjective nd continuous let Z u B be seprtion of Z f ( Uf ( B is opertion of which is f( or f (B since f in surjective It implies tht fc Z or B Z
7 x confected Intimn t C Y of i IEIRW 141 txe YEY Ty x y to By Fixxoex (2 x x xy I xouty y y( Y is xo #Ih Y o y # Rmk By Induction n i TII is i tlsisn one cn prove How bout the? product Tcl L Thm IT is # d is TLET * T ( in the product let us prone for exmple tht IRw TIIR i i in the product Consider IPT lr~ IR co x i o } I ( x K 1 Ro UlfEntin n1 ~ IR is by 121 of i o fizn } the Theorem previous clim 11 (Rw ( hence IRW proof f x C x k E IRW I c U for some set U CIRW By the product n U TIU ; ITIR ii co IRW we tke U s my wher Vi C IR is inti t Ki en
8 Given Risui co Then clerly Un Itf Vi IT 01 ± $ intl so Un lr t $ The clim proved ( The Theorem bout IT lmost the sme LET 73 Pth x Ye pth in from to Y is continuous ( [ b ] CIRC 7 mp y [ b such tht r( Kb Y given the usul ology nd we usully tke [ b ] [ o I ] for convenience in clled pth 7 pth In from to y if t ty ttg # I Thm is pth is o t Y I try [ 0 I ] pth Ho o 811 y Exmples 11 so is ryt on ] is gdgiusknses ryk D # ll re pth 1R 0 } C 1122m lso pth
9 fx Connected # t txtye Exmples 2 V C IRLu convex region ( ie V tosdsl Then V is pth the point dxt YEV yy ye V 8 [ 01 ] V is pth from to Y t H ( I x+ty Et The unit bll B ± e IRI u II i l f1 } CIR is convex pth Clim IRIN Rsul ( not homeomorphic suppose f 1122m lrusu homeomorphism Then It induces homeomorphism I 1122 cool } ~> 112 flo } D o_ th Nttconnecled contrdiction Exmple # Pth ( x sintx o< xsi } clrlsu y ( 01 ] pth Prove i ( sintx to} EhD U isti but NOT pth #
10 Then } By Sn E ( 01 IQ such tht sn 0 7 the 101 such tht rctn Sn th ti tz We fly It for tzg nother esier is pth 0 exmple ;lgl ;D U to # knxt ;D? C hence U ( o y oeyei } 1 is but NOT Rin p 8 qgg g > 0 / But 1 It cool } CBCB I pth f [ 01 ] B pth such tht f 1 o suppose } 1 1 x 11 P fci of let 9 IR IR be the projection j gof [ 01 ] IR is pth ( stisfying cL 1 the Intermedite vlue theorem sequence Thus f ( tn Sn } 0 } C th choose my subsequence of th still written TE [ 01 ] then fctn s tn Sn } o } o } o } fit o } } Et B contrdiction So B is NOT pth # Exmple C[ 01 ] is pth 1 tfge CEO ] define y [ 01 ] Cio 1 ] r is continuous? Just show if ti t re t it ctt f closed tg ilose! then Ht Htr re do ( tct Htzl Mx / ( I fly + ti 914 ( 1 tz fly ( y / oey El Mx ( t ( g ( y tzldlf 91 osys 1 y is continuous Ho f y g CEO D pth
11 t the equivlence clsses re clled the ( components of [ becuse c i ~ ciil ~Y Y~ These re obvious 74 Components nd Pth Components Given we shll brek It Into pieces tht re or pth x YE define x~y if I U C reltion on This n equivlence YEU Equivlence reltions is clled ~ n equivlence reltion on if t x~y x YE } in C xx stisfies cii xnx y~x ~Y Y~z x~z ~ E [x] YE y~x } ciilxry Then t x YE ] n[ or y ] $ [ ][ y ] so there set of RC such tht representtives U [ ] ( is disjoint unions of equi 9696 ER clsses Ex 1122 ~ I 1 # where txitxif if HHr [ x] is c IR yityi r } g Ucr Cr IR re Rzo Rmk o In the definition of components ~y n equivlence reltion ciiil xny y~z xnz? let nd B re
12 B Cd EU Cj Invrint In subs of such tht x YE Y ZEB YEB to x ze UB x~z So U Cd disjoint unions of components LET C T& ] for some E LET Lemm 1 C is BC Cd for some 2 suppne xe BG ± $ xry contrdiction YEBCB to s x~&~\ p ~Y dtf lemm 2 HLET Choose point x U C oe Cd t ECL Ux C Cd ~ so 7 C UU xtcd xoeux tx C is lemm 3 Cd closed Cd is closed lso closed Ccd C is closed Prop ny disjoint union of ( components ech of which nd closed Rmk The number of components Exmple 1 IR 0 } C 0 UCO C Rc two components
13 This ine 1/23} The Exmple } B 11 4 } 12 } 13 }} } /3} 14 } 12/4} 1 34 } } wht ne the components? Sy component nd IE 1 23 } nd 1 23 } U 1 } closed i 23 } or two components is y if It pth in from to Y equivlence clsses re clled the pth components of Rmk in n equivlence reltion c i ~ c Ii ~Y Y~ trivil ( iiil ~y Y ~Z ~Z y [ o ] rz [ 12 ] 0 i 1 1 y 1 it y 2 l z Thin r [ 02 ] ntl t 1 oeee jzlt 1st < 2 pth from to Z let UL disjoint union of equivlence clsses t xd DET Then cil B C for some E 42 ET pth Bc d for some L ciil s is pth The TLET ftpygnl?pnnniiiotxnyonnicny
14 Q bsis EV since HECCU 74* Locl ness is clled loclly t if t I nbhd U of I ( nbhd V of such tht V C U U is n nbhd of I if mbhd V of such tht VCU is loclly if is loclly t txe is clled loclly pth t x if t ( nbhd U of 7 pth ( nbhd V of such tht VCU is loclly pth is if loclly t pth fxe Ex El 0 UC 01 ] C lr is loclly nd Rmk If hs B t BE B B is loclly pth loclly ( pth is loclly ( pth Ex f ( 01 ] S C 1122 usul t 1 ( t sin tt 55 U ] } t 5 NOT pth t ( 001 Ex C IR NOT nor loclly Thm loclly For ny U C ech component of U is In U C is C C U component 7 nd subset V C U C is component xe V C C C
15 P xe U Suppose tht components of sets in re is n nbhd of let C C U be component tht contins C nd loclly t It cn Similrly be proved is loclly pth C For ny set U of ech pth component of U is In Thm is l Ech pth component of lies in component of ( 21 If is loclly pth components nd the pth components re the sme EC P (2 1 let C be Suppose P C of xe P component of is PCC pth component txe C \P is contined is some pth component R of xe R C C let Q denote the union of such pth components Then C P UQ since is loclly pth ech pth component of In Thus C PUQ is seprtion of C C is xep PC contrdiction
Lecture 3 ( ) (translated and slightly adapted from lecture notes by Martin Klazar)
Lecture 3 (5.3.2018) (trnslted nd slightly dpted from lecture notes by Mrtin Klzr) Riemnn integrl Now we define precisely the concept of the re, in prticulr, the re of figure U(, b, f) under the grph of
More informationa n = 1 58 a n+1 1 = 57a n + 1 a n = 56(a n 1) 57 so 0 a n+1 1, and the required result is true, by induction.
MAS221(216-17) Exm Solutions 1. (i) A is () bounded bove if there exists K R so tht K for ll A ; (b) it is bounded below if there exists L R so tht L for ll A. e.g. the set { n; n N} is bounded bove (by
More informationMath 61CM - Solutions to homework 9
Mth 61CM - Solutions to homework 9 Cédric De Groote November 30 th, 2018 Problem 1: Recll tht the left limit of function f t point c is defined s follows: lim f(x) = l x c if for ny > 0 there exists δ
More informationf(x)dx . Show that there 1, 0 < x 1 does not exist a differentiable function g : [ 1, 1] R such that g (x) = f(x) for all
3 Definite Integrl 3.1 Introduction In school one comes cross the definition of the integrl of rel vlued function defined on closed nd bounded intervl [, b] between the limits nd b, i.e., f(x)dx s the
More informationW. We shall do so one by one, starting with I 1, and we shall do it greedily, trying
Vitli covers 1 Definition. A Vitli cover of set E R is set V of closed intervls with positive length so tht, for every δ > 0 nd every x E, there is some I V with λ(i ) < δ nd x I. 2 Lemm (Vitli covering)
More informationLecture 1. Functional series. Pointwise and uniform convergence.
1 Introduction. Lecture 1. Functionl series. Pointwise nd uniform convergence. In this course we study mongst other things Fourier series. The Fourier series for periodic function f(x) with period 2π is
More informationTheory of Computation Regular Languages. (NTU EE) Regular Languages Fall / 38
Theory of Computtion Regulr Lnguges (NTU EE) Regulr Lnguges Fll 2017 1 / 38 Schemtic of Finite Automt control 0 0 1 0 1 1 1 0 Figure: Schemtic of Finite Automt A finite utomton hs finite set of control
More informationSection 3.2 Maximum Principle and Uniqueness
Section 3. Mximum Principle nd Uniqueness Let u (x; y) e smooth solution in. Then the mximum vlue exists nd is nite. (x ; y ) ; i.e., M mx fu (x; y) j (x; y) in g Furthermore, this vlue cn e otined y point
More informationTheoretical foundations of Gaussian quadrature
Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of
More informationQtr. Bryysofx. Bsyly. &B b ,!DD)< If,( r=mff!rs ; g igk yq. p± : }y s. Any compact. disjoint. Det. space. of s. Bsgcy ;) Bry!Yj ),
metric SCE spce Any compct subset S of is closed p± We show tht Sc is S we every yes find disjoint Bryysofx is y s Bsyly n Tke K 5 nbhds For cover of s WTS Brix 5 Qtr of Y &B b compctness of S there exist
More informationSPACES DOMINATED BY METRIC SUBSETS
Volume 9, 1984 Pges 149 163 http://topology.uburn.edu/tp/ SPACES DOMINATED BY METRIC SUBSETS by Yoshio Tnk nd Zhou Ho-xun Topology Proceedings Web: http://topology.uburn.edu/tp/ Mil: Topology Proceedings
More informationTheory of Computation Regular Languages
Theory of Computtion Regulr Lnguges Bow-Yw Wng Acdemi Sinic Spring 2012 Bow-Yw Wng (Acdemi Sinic) Regulr Lnguges Spring 2012 1 / 38 Schemtic of Finite Automt control 0 0 1 0 1 1 1 0 Figure: Schemtic of
More informationCoalgebra, 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 informationReview of Riemann Integral
1 Review of Riemnn Integrl In this chpter we review the definition of Riemnn integrl of bounded function f : [, b] R, nd point out its limittions so s to be convinced of the necessity of more generl integrl.
More informationTheory of the Integral
Spring 2012 Theory of the Integrl Author: Todd Gugler Professor: Dr. Drgomir Sric My 10, 2012 2 Contents 1 Introduction 5 1.0.1 Office Hours nd Contct Informtion..................... 5 1.1 Set Theory:
More informationIntegration Techniques
Integrtion Techniques. Integrtion of Trigonometric Functions Exmple. Evlute cos x. Recll tht cos x = cos x. Hence, cos x Exmple. Evlute = ( + cos x) = (x + sin x) + C = x + 4 sin x + C. cos 3 x. Let u
More information1. On some properties of definite integrals. We prove
This short collection of notes is intended to complement the textbook Anlisi Mtemtic 2 by Crl Mdern, published by Città Studi Editore, [M]. We refer to [M] for nottion nd the logicl stremline of the rguments.
More information38 Riemann sums and existence of the definite integral.
38 Riemnn sums nd existence of the definite integrl. In the clcultion of the re of the region X bounded by the grph of g(x) = x 2, the x-xis nd 0 x b, two sums ppered: ( n (k 1) 2) b 3 n 3 re(x) ( n These
More informationThe Regulated and Riemann Integrals
Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue
More informationt.lu ]pt.com :sies}u{ X } UEJ if definition definition ) examples topology top B={ sin Then t eu Examples : lr( concepts Examples XEBCU topology?
Basic nsn metric inite Re on teu need on etc hen J Review o opology concepts o what a ology? 3 JCPC EJ @ UEJ ti tlu 3 U UZEJ U NUZEJ Examples space RLP C[ 0 ]y complement RE lry R air CEO ]pt com 2 How
More information378 Relations Solutions for Chapter 16. Section 16.1 Exercises. 3. Let A = {0,1,2,3,4,5}. Write out the relation R that expresses on A.
378 Reltions 16.7 Solutions for Chpter 16 Section 16.1 Exercises 1. Let A = {0,1,2,3,4,5}. Write out the reltion R tht expresses > on A. Then illustrte it with digrm. 2 1 R = { (5,4),(5,3),(5,2),(5,1),(5,0),(4,3),(4,2),(4,1),
More informationAdvanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004
Advnced Clculus: MATH 410 Notes on Integrls nd Integrbility Professor Dvid Levermore 17 October 2004 1. Definite Integrls In this section we revisit the definite integrl tht you were introduced to when
More information1 The Riemann Integral
The Riemnn Integrl. An exmple leding to the notion of integrl (res) We know how to find (i.e. define) the re of rectngle (bse height), tringle ( (sum of res of tringles). But how do we find/define n re
More informationset is not closed under matrix [ multiplication, ] and does not form a group.
Prolem 2.3: Which of the following collections of 2 2 mtrices with rel entries form groups under [ mtrix ] multipliction? i) Those of the form for which c d 2 Answer: The set of such mtrices is not closed
More informationPresentation Problems 5
Presenttion Problems 5 21-355 A For these problems, ssume ll sets re subsets of R unless otherwise specified. 1. Let P nd Q be prtitions of [, b] such tht P Q. Then U(f, P ) U(f, Q) nd L(f, P ) L(f, Q).
More information7.2 Riemann Integrable Functions
7.2 Riemnn Integrble Functions Theorem 1. If f : [, b] R is step function, then f R[, b]. Theorem 2. If f : [, b] R is continuous on [, b], then f R[, b]. Theorem 3. If f : [, b] R is bounded nd continuous
More informationad = cb (1) cf = ed (2) adf = cbf (3) cf b = edb (4)
10 Most proofs re left s reding exercises. Definition 10.1. Z = Z {0}. Definition 10.2. Let be the binry reltion defined on Z Z by, b c, d iff d = cb. Theorem 10.3. is n equivlence reltion on Z Z. Proof.
More informationMA Handout 2: Notation and Background Concepts from Analysis
MA350059 Hndout 2: Nottion nd Bckground Concepts from Anlysis This hndout summrises some nottion we will use nd lso gives recp of some concepts from other units (MA20023: PDEs nd CM, MA20218: Anlysis 2A,
More informationUNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3
UNIFORM CONVERGENCE Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 Suppose f n : Ω R or f n : Ω C is sequence of rel or complex functions, nd f n f s n in some sense. Furthermore,
More informationAppendix to Notes 8 (a)
Appendix to Notes 8 () 13 Comprison of the Riemnn nd Lebesgue integrls. Recll Let f : [, b] R be bounded. Let D be prtition of [, b] such tht Let D = { = x 0 < x 1
More informationRiemann is the Mann! (But Lebesgue may besgue to differ.)
Riemnn is the Mnn! (But Lebesgue my besgue to differ.) Leo Livshits My 2, 2008 1 For finite intervls in R We hve seen in clss tht every continuous function f : [, b] R hs the property tht for every ɛ >
More informationBoolean Algebra. Boolean Algebras
Boolen Algebr Boolen Algebrs A Boolen lgebr is set B of vlues together with: - two binry opertions, commonly denoted by + nd, - unry opertion, usully denoted by or ~ or, - two elements usully clled zero
More informationSOLUTIONS FOR ANALYSIS QUALIFYING EXAM, FALL (1 + µ(f n )) f(x) =. But we don t need the exact bound.) Set
SOLUTIONS FOR ANALYSIS QUALIFYING EXAM, FALL 28 Nottion: N {, 2, 3,...}. (Tht is, N.. Let (X, M be mesurble spce with σ-finite positive mesure µ. Prove tht there is finite positive mesure ν on (X, M such
More informationConsequently, the temperature must be the same at each point in the cross section at x. Let:
HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the
More informationPartial Derivatives. Limits. For a single variable function f (x), the limit lim
Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles
More informationProperties of the Riemann Integral
Properties of the Riemnn Integrl Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University Februry 15, 2018 Outline 1 Some Infimum nd Supremum Properties 2
More informationConvex Sets and Functions
B Convex Sets nd Functions Definition B1 Let L, +, ) be rel liner spce nd let C be subset of L The set C is convex if, for ll x,y C nd ll [, 1], we hve 1 )x+y C In other words, every point on the line
More information1 Sets Functions and Relations Mathematical Induction Equivalence of Sets and Countability The Real Numbers...
Contents 1 Sets 1 1.1 Functions nd Reltions....................... 3 1.2 Mthemticl Induction....................... 5 1.3 Equivlence of Sets nd Countbility................ 6 1.4 The Rel Numbers..........................
More informationChapter 6. Infinite series
Chpter 6 Infinite series We briefly review this chpter in order to study series of functions in chpter 7. We cover from the beginning to Theorem 6.7 in the text excluding Theorem 6.6 nd Rbbe s test (Theorem
More informationRiemann Sums and Riemann Integrals
Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 203 Outline Riemnn Sums Riemnn Integrls Properties Abstrct
More informationMath 4310 Solutions to homework 1 Due 9/1/16
Mth 4310 Solutions to homework 1 Due 9/1/16 1. Use the Eucliden lgorithm to find the following gretest common divisors. () gcd(252, 180) = 36 (b) gcd(513, 187) = 1 (c) gcd(7684, 4148) = 68 252 = 180 1
More informationDEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS
3 DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS This chpter summrizes few properties of Cli ord Algebr nd describe its usefulness in e ecting vector rottions. 3.1 De nition of Associtive
More informationRecitation 3: More Applications of the Derivative
Mth 1c TA: Pdric Brtlett Recittion 3: More Applictions of the Derivtive Week 3 Cltech 2012 1 Rndom Question Question 1 A grph consists of the following: A set V of vertices. A set E of edges where ech
More informationwe define ={U V Ue3, C, 4 ) i - ( x y ) that the such top Ux Y ' ( v ) = Xx V UEJ } U { Th, top spaces Ong Xi Is the coarsest projection, IJTU
such T Etr ics I Topology * Product ology Recll tht for spces Y we defie product ology Y Ty o B {UV Ue3 ve Ty 2 y y C 4 i ( y Ty Y y Ty corsest tht projectis Tl Tly re ctiuous Note Ue J ( U U Y VE Jy Thi
More informationHomework 4. (1) If f R[a, b], show that f 3 R[a, b]. If f + (x) = max{f(x), 0}, is f + R[a, b]? Justify your answer.
Homework 4 (1) If f R[, b], show tht f 3 R[, b]. If f + (x) = mx{f(x), 0}, is f + R[, b]? Justify your nswer. (2) Let f be continuous function on [, b] tht is strictly positive except finitely mny points
More informationNondeterminism. Nondeterministic Finite Automata. Example: Moves on a Chessboard. Nondeterminism (2) Example: Chessboard (2) Formal NFA
Nondeterminism Nondeterministic Finite Automt Nondeterminism Subset Construction A nondeterministic finite utomton hs the bility to be in severl sttes t once. Trnsitions from stte on n input symbol cn
More informationa n+2 a n+1 M n a 2 a 1. (2)
Rel Anlysis Fll 004 Tke Home Finl Key 1. Suppose tht f is uniformly continuous on set S R nd {x n } is Cuchy sequence in S. Prove tht {f(x n )} is Cuchy sequence. (f is not ssumed to be continuous outside
More information(4.1) D r v(t) ω(t, v(t))
1.4. Differentil inequlities. Let D r denote the right hnd derivtive of function. If ω(t, u) is sclr function of the sclrs t, u in some open connected set Ω, we sy tht function v(t), t < b, is solution
More informationHW3, Math 307. CSUF. Spring 2007.
HW, Mth 7. CSUF. Spring 7. Nsser M. Abbsi Spring 7 Compiled on November 5, 8 t 8:8m public Contents Section.6, problem Section.6, problem Section.6, problem 5 Section.6, problem 7 6 5 Section.6, problem
More informationStrong Bisimulation. Overview. References. Actions Labeled transition system Transition semantics Simulation Bisimulation
Strong Bisimultion Overview Actions Lbeled trnsition system Trnsition semntics Simultion Bisimultion References Robin Milner, Communiction nd Concurrency Robin Milner, Communicting nd Mobil Systems 32
More informationNotes on length and conformal metrics
Notes on length nd conforml metrics We recll how to mesure the Eucliden distnce of n rc in the plne. Let α : [, b] R 2 be smooth (C ) rc. Tht is α(t) (x(t), y(t)) where x(t) nd y(t) re smooth rel vlued
More informationSturm-Liouville Eigenvalue problem: Let p(x) > 0, q(x) 0, r(x) 0 in I = (a, b). Here we assume b > a. Let X C 2 1
Ch.4. INTEGRAL EQUATIONS AND GREEN S FUNCTIONS Ronld B Guenther nd John W Lee, Prtil Differentil Equtions of Mthemticl Physics nd Integrl Equtions. Hildebrnd, Methods of Applied Mthemtics, second edition
More informationARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac
REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b
More informationPhil Wertheimer UMD Math Qualifying Exam Solutions Analysis - January, 2015
Problem 1 Let m denote the Lebesgue mesure restricted to the compct intervl [, b]. () Prove tht function f defined on the compct intervl [, b] is Lipschitz if nd only if there is constct c nd function
More informationHomework 4. 0 ε 0. (00) ε 0 ε 0 (00) (11) CS 341: Foundations of Computer Science II Prof. Marvin Nakayama
CS 341: Foundtions of Computer Science II Prof. Mrvin Nkym Homework 4 1. UsetheproceduredescriedinLemm1.55toconverttheregulrexpression(((00) (11)) 01) into n NFA. Answer: 0 0 1 1 00 0 0 11 1 1 01 0 1 (00)
More informationMATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35
MATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35 9. Modules over PID This week we re proving the fundmentl theorem for finitely generted modules over PID, nmely tht they re ll direct sums of cyclic modules.
More informationLecture 3. Limits of Functions and Continuity
Lecture 3 Limits of Functions nd Continuity Audrey Terrs April 26, 21 1 Limits of Functions Notes I m skipping the lst section of Chpter 6 of Lng; the section bout open nd closed sets We cn probbly live
More informationExam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1
Exm, Mthemtics 471, Section ETY6 6:5 pm 7:4 pm, Mrch 1, 16, IH-115 Instructor: Attil Máté 1 17 copies 1. ) Stte the usul sufficient condition for the fixed-point itertion to converge when solving the eqution
More informationAUTOMATA AND LANGUAGES. Definition 1.5: Finite Automaton
25. Finite Automt AUTOMATA AND LANGUAGES A system of computtion tht only hs finite numer of possile sttes cn e modeled using finite utomton A finite utomton is often illustrted s stte digrm d d d. d q
More informationMath 554 Integration
Mth 554 Integrtion Hndout #9 4/12/96 Defn. A collection of n + 1 distinct points of the intervl [, b] P := {x 0 = < x 1 < < x i 1 < x i < < b =: x n } is clled prtition of the intervl. In this cse, we
More informationBoolean Algebra. Boolean Algebra
Boolen Alger Boolen Alger A Boolen lger is set B of vlues together with: - two inry opertions, commonly denoted y + nd, - unry opertion, usully denoted y ˉ or ~ or, - two elements usully clled zero nd
More informationBest Approximation. Chapter The General Case
Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given
More informationUSA Mathematical Talent Search Round 1 Solutions Year 21 Academic Year
1/1/21. Fill in the circles in the picture t right with the digits 1-8, one digit in ech circle with no digit repeted, so tht no two circles tht re connected by line segment contin consecutive digits.
More informationClosure Properties of Regular Languages
Closure Properties of Regulr Lnguges Regulr lnguges re closed under mny set opertions. Let L 1 nd L 2 e regulr lnguges. (1) L 1 L 2 (the union) is regulr. (2) L 1 L 2 (the conctention) is regulr. (3) L
More informationRiemann Sums and Riemann Integrals
Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 2013 Outline 1 Riemnn Sums 2 Riemnn Integrls 3 Properties
More informationg i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f
1. Appliction of functionl nlysis to PEs 1.1. Introduction. In this section we give little introduction to prtil differentil equtions. In prticulr we consider the problem u(x) = f(x) x, u(x) = x (1) where
More informationFinite-State Automata: Recap
Finite-Stte Automt: Recp Deepk D Souz Deprtment of Computer Science nd Automtion Indin Institute of Science, Bnglore. 09 August 2016 Outline 1 Introduction 2 Forml Definitions nd Nottion 3 Closure under
More informationIntroduction to Group Theory
Introduction to Group Theory Let G be n rbitrry set of elements, typiclly denoted s, b, c,, tht is, let G = {, b, c, }. A binry opertion in G is rule tht ssocites with ech ordered pir (,b) of elements
More information440-2 Geometry/Topology: Differentiable Manifolds Northwestern University Solutions of Practice Problems for Final Exam
440-2 Geometry/Topology: Differentible Mnifolds Northwestern University Solutions of Prctice Problems for Finl Exm 1) Using the cnonicl covering of RP n by {U α } 0 α n, where U α = {[x 0 : : x n ] RP
More informationDefinition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim
Mth 9 Course Summry/Study Guide Fll, 2005 [1] Limits Definition of Limit: We sy tht L is the limit of f(x) s x pproches if f(x) gets closer nd closer to L s x gets closer nd closer to. We write lim f(x)
More informationInfinite Geometric Series
Infinite Geometric Series Finite Geometric Series ( finite SUM) Let 0 < r < 1, nd let n be positive integer. Consider the finite sum It turns out there is simple lgebric expression tht is equivlent to
More informationThe Dirac distribution
A DIRAC DISTRIBUTION A The Dirc distribution A Definition of the Dirc distribution The Dirc distribution δx cn be introduced by three equivlent wys Dirc [] defined it by reltions δx dx, δx if x The distribution
More informationHomework 11. Andrew Ma November 30, sin x (1+x) (1+x)
Homewor Andrew M November 3, 4 Problem 9 Clim: Pf: + + d = d = sin b +b + sin (+) d sin (+) d using integrtion by prts. By pplying + d = lim b sin b +b + sin (+) d. Since limits to both sides, lim b sin
More informationVariational Techniques for Sturm-Liouville Eigenvalue Problems
Vritionl Techniques for Sturm-Liouville Eigenvlue Problems Vlerie Cormni Deprtment of Mthemtics nd Sttistics University of Nebrsk, Lincoln Lincoln, NE 68588 Emil: vcormni@mth.unl.edu Rolf Ryhm Deprtment
More informationFundamentals of Computer Science
Fundmentls of Computer Science Chpter 3: NFA nd DFA equivlence Regulr expressions Henrik Björklund Umeå University Jnury 23, 2014 NFA nd DFA equivlence As we shll see, it turns out tht NFA nd DFA re equivlent,
More informationChapter 14. Matrix Representations of Linear Transformations
Chpter 4 Mtrix Representtions of Liner Trnsformtions When considering the Het Stte Evolution, we found tht we could describe this process using multipliction by mtrix. This ws nice becuse computers cn
More informationPhysics 116C Solution of inhomogeneous ordinary differential equations using Green s functions
Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner
More informationAnalytical Methods Exam: Preparatory Exercises
Anlyticl Methods Exm: Preprtory Exercises Question. Wht does it men tht (X, F, µ) is mesure spce? Show tht µ is monotone, tht is: if E F re mesurble sets then µ(e) µ(f). Question. Discuss if ech of the
More informationFinite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018
Finite Automt Theory nd Forml Lnguges TMV027/DIT321 LP4 2018 Lecture 10 An Bove April 23rd 2018 Recp: Regulr Lnguges We cn convert between FA nd RE; Hence both FA nd RE ccept/generte regulr lnguges; More
More informationREVIEW Chapter 1 The Real Number System
Mth 7 REVIEW Chpter The Rel Number System In clss work: Solve ll exercises. (Sections. &. Definition A set is collection of objects (elements. The Set of Nturl Numbers N N = {,,,, 5, } The Set of Whole
More information1.4 Nonregular Languages
74 1.4 Nonregulr Lnguges The number of forml lnguges over ny lphbet (= decision/recognition problems) is uncountble On the other hnd, the number of regulr expressions (= strings) is countble Hence, ll
More informationChapter 3. Vector Spaces
3.4 Liner Trnsformtions 1 Chpter 3. Vector Spces 3.4 Liner Trnsformtions Note. We hve lredy studied liner trnsformtions from R n into R m. Now we look t liner trnsformtions from one generl vector spce
More informationProblem Set 3
14.102 Problem Set 3 Due Tuesdy, October 18, in clss 1. Lecture Notes Exercise 208: Find R b log(t)dt,where0
More informationCSCI FOUNDATIONS OF COMPUTER SCIENCE
1 CSCI- 2200 FOUNDATIONS OF COMPUTER SCIENCE Spring 2015 My 7, 2015 2 Announcements Homework 9 is due now. Some finl exm review problems will be posted on the web site tody. These re prcqce problems not
More informationImproper Integrals. Type I Improper Integrals How do we evaluate an integral such as
Improper Integrls Two different types of integrls cn qulify s improper. The first type of improper integrl (which we will refer to s Type I) involves evluting n integrl over n infinite region. In the grph
More informationImproper Integrals, and Differential Equations
Improper Integrls, nd Differentil Equtions October 22, 204 5.3 Improper Integrls Previously, we discussed how integrls correspond to res. More specificlly, we sid tht for function f(x), the region creted
More informationapproaches as n becomes larger and larger. Since e > 1, the graph of the natural exponential function is as below
. Eponentil nd rithmic functions.1 Eponentil Functions A function of the form f() =, > 0, 1 is clled n eponentil function. Its domin is the set of ll rel f ( 1) numbers. For n eponentil function f we hve.
More informationAnatomy of a Deterministic Finite Automaton. Deterministic Finite Automata. A machine so simple that you can understand it in less than one minute
Victor Admchik Dnny Sletor Gret Theoreticl Ides In Computer Science CS 5-25 Spring 2 Lecture 2 Mr 3, 2 Crnegie Mellon University Deterministic Finite Automt Finite Automt A mchine so simple tht you cn
More informationHandout 4. Inverse and Implicit Function Theorems.
8.95 Hndout 4. Inverse nd Implicit Function Theorems. Theorem (Inverse Function Theorem). Suppose U R n is open, f : U R n is C, x U nd df x is invertible. Then there exists neighborhood V of x in U nd
More informationLinearly Similar Polynomials
Linerly Similr Polynomils rthur Holshouser 3600 Bullrd St. Chrlotte, NC, US Hrold Reiter Deprtment of Mthemticl Sciences University of North Crolin Chrlotte, Chrlotte, NC 28223, US hbreiter@uncc.edu stndrd
More information(9) P (x)u + Q(x)u + R(x)u =0
STURM-LIOUVILLE THEORY 7 2. Second order liner ordinry differentil equtions 2.1. Recll some sic results. A second order liner ordinry differentil eqution (ODE) hs the form (9) P (x)u + Q(x)u + R(x)u =0
More information10 Vector Integral Calculus
Vector Integrl lculus Vector integrl clculus extends integrls s known from clculus to integrls over curves ("line integrls"), surfces ("surfce integrls") nd solids ("volume integrls"). These integrls hve
More informationJEE(MAIN) 2015 TEST PAPER WITH SOLUTION (HELD ON SATURDAY 04 th APRIL, 2015) PART B MATHEMATICS
JEE(MAIN) 05 TEST PAPER WITH SOLUTION (HELD ON SATURDAY 0 th APRIL, 05) PART B MATHEMATICS CODE-D. Let, b nd c be three non-zero vectors such tht no two of them re colliner nd, b c b c. If is the ngle
More informationLECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for
ECTURE 3 Orthogonl Functions 1. Orthogonl Bses The pproprite setting for our iscussion of orthogonl functions is tht of liner lgebr. So let me recll some relevnt fcts bout nite imensionl vector spces.
More informationChapter 28. Fourier Series An Eigenvalue Problem.
Chpter 28 Fourier Series Every time I close my eyes The noise inside me mplifies I cn t escpe I relive every moment of the dy Every misstep I hve mde Finds wy it cn invde My every thought And this is why
More informationThe problems that follow illustrate the methods covered in class. They are typical of the types of problems that will be on the tests.
ADVANCED CALCULUS PRACTICE PROBLEMS JAMES KEESLING The problems tht follow illustrte the methods covered in clss. They re typicl of the types of problems tht will be on the tests. 1. Riemnn Integrtion
More informationMAT 215: Analysis in a single variable Course notes, Fall Michael Damron
MAT 215: Anlysis in single vrible Course notes, Fll 2012 Michel Dmron Compiled from lectures nd exercises designed with Mrk McConnell following Principles of Mthemticl Anlysis, Rudin Princeton University
More informationBases 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 informationMyhill-Nerode Theorem
Overview Myhill-Nerode Theorem Correspondence etween DA s nd MN reltions Cnonicl DA for L Computing cnonicl DFA Myhill-Nerode Theorem Deepk D Souz Deprtment of Computer Science nd Automtion Indin Institute
More informationProperties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives
Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn
More information