An algebraic theory of tricategories

Size: px
Start display at page:

Download "An algebraic theory of tricategories"

Transcription

1 An lgebric theory of trictegories Nick Gurski Mrch 9, 2007

2 2

3 i Acknowledgements First I would like to thnk Peter My nd Eugeni Cheng for helping me through ll stges of this project. I would lso like to thnk Ross Street nd John Power for nswering some technicl questions. Finlly I would like to thnk Mrtin Hylnd nd Andre Joyl for encourgement.

4 ii Abstrct The originl definition of trictegory given by Gordon, Power, nd Street is only prtilly lgebric. The definition is not fully lgebric since certin trnsformtions re required to be wekly invertible s 1-cells of functor bictegory, but no wek inverse is required s prt of the dt. We rectify this by replcing these equivlences with djoint equivlences. We then prove coherence by providing Yoned embedding for restricted clss of trictegories in which the trget of this embedding is functor trictegory tht is shown to be Gryctegory; in prticulr, this strtegy voids the use of the prerepresenttions in the work of Gordon, Power, nd Street. Using the fct tht the new definition of trictegory is lgebric, we compre the free trictegory on ctegory-enriched 2-grph with the free Gryctegory on the sme dt nd show tht the nturl comprison functor is strict triequivlence. This is nother sttement of coherence, nd lso gives proof tht lrge clss of digrms of constrint 3-cells commute in ny trictegory. We then produce, from ny trictegory T, Gry-ctegory GrT nd triequivlence GrT T. A similr strtegy pplied to functors yields coherence theorem for functors, nd we then produce from ny functor F : S T between trictegories Gry-functor GrF : GrS GrT.

5 Contents 1 Introduction 1 2 Coherence for bictegories Bictegoricl conventions The Yoned embedding Coherence for bictegories Grphs nd free constructions Proof of the coherence theorem Using coherence: strictifiction Coherence for functors Free functors Proof of the coherence theorem Using coherence: strictifiction The lgebric definition of trictegory Bsic definition Adjoint equivlences nd trictegory xioms Trihomomorphisms nd other higher cells Compring definitions Bsic structure Structure of functors Structure of trnsformtions Chnge of structure Triequivlences The Gry tensor product The Gry tensor product Cubicl functors Defining cubicl functors The universl cubicl functor The monoidl ctegory Gry iii

6 iv CONTENTS 6 Gry-ctegories nd the trictegory Bict Cubicl trictegories Gry-ctegories The trictegory Bict Constructing Bict directly The trictegories Bict nd Gry Functor trictegories: Gry-structures Locl structure Globl results The Yoned lemm nd coherence The cubicl Yoned Lemm Coherence for trictegories Free trictegories Grphs Free trictegories Free Gry-ctegories Preliminry results Coherence vi free constructions Coherence for trictegories Coherence nd digrms of constrints Strictifying trictegories Coherence for functors The coherence theorem Coherence nd digrms of constrints Strictifying functors A Adjointness in bi- nd trictegories 141 A.1 Adjoint equivlences in bictegory A.1.1 Definitions A.1.2 The bictegory Ct A.1.3 The proof for bictegories A.1.4 Useful results A.2 Mtes in bictegory A.3 Bidjoint biequivlences B Unpcked definitions 157 B.1 Unpcked trictegories B.2 Unpcked functors B.3 Unpcked trnsformtions B.4 Unpcked modifictions C Clcultions 163

7 CONTENTS v References 165

8 vi CONTENTS

9 Chpter 1 Introduction The study of wekened higher dimensionl structures in ctegory theory begn with the notion of bictegory, defined by Benbou in 1967 [5]. The study of bictegories now hs two eqully importnt components: one is s tool to orgnize nd generlize theorems from ctegory theory, nd nother is the study of bictegories s interesting lgebric objects in their own right. An ppliction of the first kind is the study of monds in generl 2-ctegory [35], nd n exmple of theorem of the second kind is the coherence theorem for bictegories which sttes tht every bictegory cn be mde strict in precise sense [41], [17]. There re lso importnt pplictions of this theory in physics, topology, nd representtion theory. The intense focus on understnding structures of dimension n > 2 is reltively recent phenomenon the first pper to even hint t possible definition of wek ω-ctegory ( type of wek ctegory-structure with cells of every dimension n for n 0) is Street s The lgebr of oriented simplexes in 1987 [39]. Since then, there hve been mny definitions of wek n- or ω-ctegory proposed by number of different uthors. The survey [29] by Leinster provides good ccount of mny of these proposed definitions. There is n importnt distinction to be mde between wek nd strict structures. In strict n-ctegory, ll possible xioms hold, including those for cells tht re not of the top dimension. This is not the cse for wek n-ctegories, where we only hve xioms governing cells of the top dimension nd the old xioms for lower dimensionl cells re replced by invertible or wekly invertible cells subject to their own lws. An exmple of this phenomenon occurs in the definition of bictegory, where 1-cells re only required to compose ssocitively up to 2-cell isomorphisms tht re then required to stisfy new xiom, the Mc Lne pentgon. But even the bsics of higher dimensionl ctegory theory re fr from estblished. The project of compring these different definitions is most likely yers from completion, nd for most definitions few, if ny, significnt pplictions hve been produced. There hve been few pplictions to topology, with some success in using ides from higher ctegory theory to study n-fold loop 1

10 2 CHAPTER 1. INTRODUCTION spces nd homotopy n-types [4], [6], [7], [44]. The definitions lluded to bove ll hve generl nture to them. They re intended to describe wek n-ctegories for rbitrry n, sometimes including wek ω-ctegories. Some of these definitions re inductive, but some lso strt by defining wek ω-ctegory nd then specilizing to finite n. None of these definitions re wht one would cll hnds-on, though. They do not explicitly formulte the xioms involved, insted relying on complicted techniques to efficiently encode ll of the xioms t once, usully in the form of the structure of n lgebr over suitbly chosen mond or by requiring tht certin hornfilling conditions hold. There is hnds-on definition of wek 3-ctegories, which re clled trictegories, defined by Gordon, Power, nd Street in their 1995 Memoir [17]. This definition is monumentl chievement, nd s such is long nd complicted if not viewed from the proper perspective. To understnd the complexities of the definition, it is necessry to think bout the generl philosophy of ctegorifiction nd the coherence theory for bictegories. Ctegorifiction is the term used to describe the generl procedure of tking definition involving sets, functions, nd equtions between them, nd creting new definition involving ctegories, functors, nturl isomorphisms, nd equtions between those. The bsic philosophy of ctegorifiction is to replce the old xioms with new pieces of dt, nd then to construct the pproprite xioms tht this new dt is to stisfy. There re three importnt steps in the ctegorifiction process involved in the definition of trictegory. The first is ctegorifying the notion of isomorphism. Isomorphism is lredy the ctegorified version of equlity, nd the ctegorified notion of isomorphism present in [17] is tht of equivlence. The second importnt spect of the definition of trictegory is the introduction of two new pieces of dt, denoted λ nd ρ, tht do not rise s the ctegorified versions of old xioms. This is somewht misleding, s these new pieces of dt re ctegorified versions of importnt results used in the proof of the coherence theorem for bictegories [22]. The third importnt step in this ctegorifiction process is finding the correct xioms tht trictegories should stisfy. The ssocitivity xiom for trictegories is recognizble s n incrntion of the fifth ssocihedron of Stsheff [43] or the fifth orientl of Street [39]. The two unit xioms re more mysterious, however, nd in generl the unit conditions for higher ctegories re not s well understood s the ssocitivity conditions. The work of Gordon, Power, nd Street hs the primry gol of proving relevnt coherence theorem for trictegories. The coherence problem for bictegories hs strightforwrd nswer: every bictegory is biequivlent to strict 2-ctegory. Thus ll of the wekness in bictegory cn be removed by replcing the bictegory in question with biequivlent one. This is not the cse for trictegories not every trictegory is triequivlent to strict 3- ctegory, nor cn this be true for ny resonble definition of trictegory nd triequivlence s we shll see. Thus the coherence theorem for trictegories is more interesting becuse of the inherent complictions tht rise from going up dimension.

11 The reson tht trictegories cnnot ll be triequivlent to strict 3-ctegories is consequence of the topology of homotopy 3-types. In his fmous letter Pursuing Stcks [20], Grothendieck outlined some desidert for good theory of higher dimensionl groupoids. In prticulr, he suggested tht wek n-groupoids should be model for homotopy n-types. This gives some insight into the structure of higher ctegories, s mny topologists hve studied the problem of finding lgebric models for homotopy n-types. For exmple, homotopy 2-types re modelled by monoidl ctegories in which ech morphism is invertible nd ech object x hs tensor pseudoinverse, tht is n object y for which x y = I nd y x = I. This is just mnifesttion, in ctegoricl lnguge, of the fct tht connected homotopy 2-type is determined by its homotopy groups nd the ction of π 1 on π 2. In dimension 3, the sitution becomes slightly different. Connected, simplyconnected homotopy 3-types re clssified by their homotopy groups nd their Whitehed product π 2 π 2 π 3. In ctegoricl lnguge, this becomes the sttement tht connected, simply-connected homotopy 3-types re modelled by brided monoidl ctegories in which every morphism is invertible nd every object hs tensor pseudoinverse [21]. Since ll homotopy 3-types should be modelled by wek 3-groupoids, we cn first sk if strict 3-groupoids cn model ll connected, simply-connected homotopy 3-types. Now the Whitehed product in the nerve of strict 3-groupoid is the zero mp. (See [34] for full discussion.) Since ny resonble definition of triequivlence should induce wek equivlence between the corresponding nerves nd there re connected, simply-connected homotopy 3-types with non-trivil Whitehed product, we see tht strict 3-groupoids do not model ll homotopy 3-types. The correct coherence theorem, proved by Gordon, Power, nd Street, is tht every trictegory is triequivlent to Gry-ctegory. Here Gry denotes prticulr monoidl structure on the ctegory of strict 2-ctegories defined by Gry [18], nd Gry-ctegory is then just ctegory enriched over Gry. The reder should tke note tht we ctully use wht might be clled the strong Gry tensor product, where Gry studied the lx version. Simply put, the problem with strictifying every trigroupoid to strict 3-groupoid is the existence of briding in the trigroupoid cse (corresponding topologiclly to the Whitehed product) tht is forced to be symmetric in the strict 3-groupoid cse. The Gry tensor product of 2-ctegories builds in n pproprite interchnge isomorphism, nd the coherence theorem of [17] then sttes tht this interchnge isomorphism is the only obstruction to completely strictifying trictegory. This coherence theorem is very nturl when pproched vi the exmple of the trictegory of bictegories, functors, trnsformtions, nd modifictions, where here ll terms refer to the wek version of the notion involved. The coherence theorem for bictegories sttes tht every bictegory is biequivlent to strict 2-ctegory. Similrly, there is coherence theorem for functors tht produces the result tht, when strictifying bictegories, one cn lso strictify the mps between them to yield strict 2-functors between strict 2-ctegories. Thus we re ble to produce functor st : Bict 2Ct tht is left djoint to the inclusion of 2-ctegories into bictegories. Now both Bict nd 2Ct 3

12 4 CHAPTER 1. INTRODUCTION form 3-dimensionl structures in nturl wy. Two questions rise. First, cn this functor st be extended to mp of 3-dimensionl structures? Secondly, if it cn, wht properties does this extension hve? Given bictegory B, there is cnonicl comprison functor stb B tht is biequivlence. This leds one to believe tht st might be triequivlence, but this is not the cse. The problem rises when trying to understnd the composition lws for trnsformtions in Bict. In defining the horizontl composite β α of pir of trnsformtions, there re two eqully good cndidtes for the component of β α t the object, nd if β is strict trnsformtion then these two choices gree. But one quickly lerns tht it is not lwys possible to replce β by n isomorphic trnsformtion tht is strict, so we see tht Bict hs n unvoidble mount of wekness built into it. This wekness, though, is precisely the fct tht interchnge for 2-cells is n isomorphism nd not n equlity. Now Gry-ctegories re the strictest form of 3-dimensionl ctegory in which interchnge remins wek (i.e., is n isomorphism not n equlity), so the exmple of the trictegory Bict leds one to the study of Gry-ctegories. To nswer the questions posed in the previous prgrph we introduce new trictegory clled Gry which consists of 2-ctegories, 2-functors, wek trnsformtions, nd modifictions. It is now reltively simple to check tht the functor st gives triequivlence Bict Gry (here Gry denotes prticulr full sub-gry-ctegory of Gry), nd this sttement brings together the mny fcets of the coherence theory for bictegories in one simple sttement. It is worth noting tht the trictegory Gry is the trictegory obtined from the ctegory of 2-ctegories by using the closed structure given by the Gry tensor product nd its right djoint. The definition given by Gordon, Power, nd Street hs feture tht will be the focus of this work: it is not completely lgebric, nd for some pplictions this is definite drwbck. In the cse of trictegories, we men tht some of the dt is required to hve certin property but verifying this property mkes use of dditionl dt tht is not uniquely specified in the definition. This is by-product of the choice mde when ctegorifying the notion of isomorphism. The dt for bictegory include ssocitivity, left unit, nd right unit isomorphisms; these exist s invertible 2-cells in the given bictegory structure. In the definition of trictegory, nlogous 2-cells exist but now they re not top-dimensionl cells, so we require them to be wekly invertible rther thn invertible. This is where the definition given by Gordon, Power, nd Street is not fully lgebric. They choose to require the 2-cells bove to be equivlence cells. This is property of cell, but leves some dt unspecified: it requires tht there exist pseudoinverse nd invertible cells of one dimension higher exhibiting the cells s wekly invertible, but does not require choice of these cells. This is different from the definition of n isomorphism in ctegory. Since inverses re unique in ctegory, requiring tht morphism be invertible nd requiring the exhibition of n inverse re logiclly equivlent conditions. The sitution here is genuinely different, s there re mny possible pseudoinverses nd even then mny possible invertible cells exhibiting this pseudoinvertibility.

13 5 Giving n lgebric definition of trictegory thus requires chnging these equivlence 1-cells to n lgebric condition of wek invertibility. The rest of this work will be concerned with developing the bsic coherence theory of fully lgebric definition of trictegory long these lines. We hve tken the notion of djoint equivlence s our lgebric version of wekly invertible 1-cell in bictegory. It should be noted tht every equivlence 1-cell in bictegory is prt of n djoint equivlence, but tht there is no cnonicl choice of such extr structure. The definitions given here re of course similr to those given by Gordon, Power, nd Street, but wherever they demnd tht trnsformtion be pseudonturl equivlence, we insted require n djoint equivlence in the pproprite functor bictegory. This provides cnonicl pseudoinverses for ll of the pproprite structure constrints, s well s the necessry cells of the next dimension up to exhibit this pseudoinvertibility explicitly. There re mny choices for the notion of wek invertibility. An intermedite notion between equivlence nd djoint equivlence might be clled specified equivlence. This would require giving pseudoinverse nd the invertible cells exhibiting this pseudoinvertibility, but would not require these cells to stisfy ny xioms. The choice of djoint equivlence hs the cler dvntge over this intermedite notion tht it llows the use of mtes. A hppy by-product of the theory of mtes in bictegory llows us to refrin from introducing new set of dul xioms for these dditionl cells, s they re lredy implied. This is the phenomenon tht is responsible for the fct tht the opposite trictegory, defined by reversing the direction of the 1-cells only, stisfies the trictegory xioms. The coherence theorem for bictegories sttes tht every bictegory is biequivlent to strict 2-ctegory. The simplest wy to prove this theorem is to study the Yoned embedding for bictegories, functor B Bict(B op,ct). The trget of this functor is strict since Ct is strict 2-ctegory, nd the essentil imge of this functor is 2-ctgory biequivlent to B. The proof of the coherence theorem given by Gordon, Power, nd Street hs two prts. The first is the replcement of n rbitrry trictegory T with somewht strict kind of trictegory, clled cubicl trictegory. This is done by pplying the functor st to ll of the dt for T nd then using the fct tht this functor is lx monoidl to get composition mp st ( T(b, c) ) st ( T(, b) ) st ( T(, c) ). The second step in [17] is to construct for ny cubicl trictegory S suitbly well-behved embedding of S into Gry-ctegory. The essentil imge of S inside this new Gry-ctegory will then be smller Gry-ctegory triequivlent to S. Combining these two prts gives the desired theorem. It should be noted tht Gordon, Power, nd Street do not give n exct 3-dimensionl version of this proof. Insted of using the notion of functor trictegory (which

14 6 CHAPTER 1. INTRODUCTION remins undefined using their definition), they use the Gry-ctegory of prerepresenttions of cubicl trictegory; one cn view this Gry-ctegory s the functor trictegory but with some dt nd xioms omitted. Our proof follows strtegy tht combines both tht used to prove coherence for bictegories nd tht used by Gordon, Power, nd Street. We explicitly construct the functor trictegory Trict(S, T) in the cse when T is Gryctegory, nd then show tht it is gin Gry-ctegory. The outline of the proof is s follows. First we show how to replce T with cubicl trictegory s in [17], nd then we explicitly construct Yoned embedding S Trict(S op,gry) when S is ny cubicl trictegory. Restricting to the essentil imge gives the desired triequivlence. This shows the benefit of replcing T with cubicl trictegory, s the generl Yoned embedding would be functor of the form T Trict(T op,bict) which would not yield the desired coherence result s Bict is not Gryctegory. This pth to the coherence theorem requires defining multitude of compositions for functors, trnsformtions, modifictions, nd perturbtions. These compositions re given by messy formuls, but inspecting these demonstrtes the need for fully lgebric definition of trictegory s ll prts of the definition re necessry for writing down these formuls. We see this s good indictor of wht we hve ccomplished by mking the definition fully lgebric: with ll structure in plin sight, it is possible to write down formuls nd thus mke concrete constructions tht required rbitrry choices in the originl definition. The drwbck of this pproch should lso be cler: in trying to write down explicit formuls, one needs to work with very lrge digrms. Verifying bsic xioms with these digrms becomes difficult tsk. This is solved in the cse of bictegories by proving nother kind of coherence theorem, one tht sttes tht ll digrms of constrints commute. It is, fter ll, this kind of theorem tht llows the explicit construction of the strictifiction stb for ny bictegory B. Proving n nlogue of this theorem, nd reping the ttendnt benefits, is the focus of the lst third of this work. To prove this theorem for bictegories, we first tke slight detour to prove nother kind of coherence theorem (see [22] for the sme line of proof but restricted to the cse of monoidl ctegories). Given set of objects A 0 nd for ech pir of objects ctegory A(, b), we cn construct two cnonicl 2- dimensionl structures: the free bictegory on A nd the free strict 2-ctegory on A. Ech of these hs the set A 0 s its set of objects, but the sets of 1- nd 2-cells differ. The coherence theorem here sttes tht these two structures re biequivlent by the strict functor induced by the universl property of the free bictegory. The theorem tht every digrm of constrints in bictegory commutes is now simple corollry of the universl property of the free bictegory nd this coherence theorem pplied to the cse when ech of the ctegories

15 A(, b) is discrete. Our first gol, then, will be to mimic this coherence theorem compring the free wek structure with the free strict structure, except tht in our cse we compre the free trictegory with the free Gry-ctegory. There is new difficulty tht rises by going up dimension. This is the fct tht there re t lest three different choices of underlying grphs for trictegory, two of which we use here. The sme is true for Gry-ctegories, but these two types of grphs re not the sme s the two types of grphs tht underlie trictegories. This leds to sitution in which we re required to use vriety of universl properties in different ctegories to produce the desired comprison. The fct tht trictegories nd functors between them do not form ctegory enters the picture s well. With these fcts in mind, we tke cre to lwys stte in wht ctegory digrm is to be interpreted. We then prove tht every free trictegory is triequivlent to the free Gryctegory on the sme underlying dt vi the strict functor given by the universl property. Using this, we re in position to prove new theorem bout digrms of constrint cells commuting. Note tht it is not true tht every digrm of constrint 3-cells in trictegory commutes; the counterexmple comes from the fct tht trictegories with one 0-cell nd one 1-cell should be the sme (in some sense, see [11] for tretment of the difficulties in mking this sttement rigorous for 2-dimensionl structures) s brided monoidl ctegories. If we tke B to be brided monoidl ctegory with briding γ, then the eqution γ 2 = 1 is the condition tht B be symmetric. There re mny brided monoidl ctegories which re not symmetric, giving exmples of trictegories for which not every digrm of constrint 3-cells commutes. The theorem for bictegories tht we re emulting hs two components, universl property nd coherence theorem pplied to prticulr kind of exmple. Focusing on the prticulr kind of exmple involved (n underlying grph in which ll the 3-cells re identities, clled 2-loclly discrete), we prove tht in the free trictegory on 2-loclly discrete grph every digrm of constrint 3-cells commutes. This relies on new result tht in the free Gry-ctegory on 2-loclly discrete grph, every digrm of 3-cells commutes. The nlogous result for free 2-ctegories on loclly discrete grph is trivil, but the proof in this cse is not. Using these results, we exhibit digrm of constrint 3- cells tht does not lwys commute. Here it is the units in the trictegory tht prevent the ppliction of the coherence theorems; see [34] for more discussion of units in higher ctegories. It should be noted tht most of the digrms encountered in this work re esily shown to commute by this theorem. Using this theorem, we re ble to construct explicitly Gry-ctegory GrT nd triequivlences GrT T nd T GrT from ny trictegory T. These constructions mimic those given for bictegories, but re by necessity much more complicted. Finlly, we give prllel tretment of the coherence theory for functors. First we prove tht the trictegory freely generted by n underlying grph nd the constrint cells for functor is triequivlent to n pproprite Gryctegory. Using this triequivlence, we prove tht certin digrms consisting of constrint cells from both functor nd its trget must commute. This provides 7

16 8 CHAPTER 1. INTRODUCTION enough informtion to construct explicitly strictifiction GrF for ny functor F. This completes the project of replcing trictegories nd functors between them with Gry-ctegories nd Gry-functors up to triequivlence. It should be noted tht mny of our results, especilly in the erlier chpters, re either similr to or the sme s those in [17], lthough with chnged definitions. We will record these differences nd similrities s they rise. There re number of plces in this work where we re required to verify xioms involving very lrge digrms built from the trictegory constrints. Some of these clcultions re not explicitly included becuse of spce issues, but the relevnt equtions hve been checked rigorously. Now we provide brief description of ech of the chpters nd the three ppendices. Chpter 2 consists of rpid tretment of the coherence theory for bictegories. We include two proofs of coherence for bictegories, one using the Yoned embedding nd the other using the universl property of the free bictegory construction. This chpter is provided both to remind the reder of necessry bictegoricl results nd to give n ide of the pth we will tke through the coherence theory for tricgories. Chpter 3 provides the lgebric definitions of trictegory nd the higher cells between them. Our definitions differ from those in [17] in tht we require djoint equivlences where Gordon, Power, nd Street require equivlences. We do not require dditionl xioms even though our definitions require dditionl dt; we explin how the theory of mtes mkes the ddition of extr xioms unnecessry nd how this leds to the definition of the opposite trictegory. Chpter 4 is devoted to proving some importnt bsic results. First we study the composition of functors between trictegories nd show why these fil to form ctegory. We provide some conditions under which n ltered composition gives ctegory structure to trictegories nd strict functors. Then we study some opertions on trnsformtions tht will be necessry lter. These first two sections focus on the structure of the puttive tetrctegory Trict. The third section is concerned with chnging known trictegory structures to obtin new ones. Finlly we study the pproprite notion of equivlence between trictegories, tht is, triequivlence. Chpter 5 gives the necessry bckground on Gry s tensor product. We define this in three wys: by giving genertors-nd-reltions definition, by giving the universl property, nd by identifying the right djoint. We then collect together the relevnt properties to describe the closed symmetric monoidl ctegory Gry, whose underlying ctegory is the ctegory of strict 2-ctegories nd strict 2-functors between them. Chpter 6 contins the first constructions of trictegory structures from scrtch s well s n importnt first step in the proof of the coherence theorem. The concept of cubicl trictegory is introduced, nd strict, cubicl trictegories re shown to be Gry-ctegories. This gives Gry-ctegories n interprettion s semi-strict version of trictegories. Additionlly, we show tht the closed monoidl ctegory Gry inherits trictegoricl structure in this wy. We define full sub-gry-ctegory Gry Gry nd show tht this structure is

17 triequivlent to the trictegory structure on Bict which we construct directly. Chpter 7 studies the construction of the trictegory of functors, trnsformtions, modifictions, nd perturbtions between two fixed trictegories. We show tht given trictegories S nd T nd functors F, G : S T, there is bictegory with 0-cells the trnsformtions between F nd G, 1-cells the modifictions between those, nd 2-cells the perturbtions between those. When the trget trictegory is Gry-ctegory, we give composition functor nd the rest of the required dt necessry to give trictegory structure. We dditionlly prove tht this trictegory structure is ctully Gry-ctegory. Chpter 8 contins the proof tht every trictegory is triequivlent to Gry-ctegory. This is done by first replcing the trictegory in question with triequivlent cubicl one nd then proving Yoned Lemm for cubicl trictegories. Thus we see how the coherence theorem for trictegories breks up esily into two steps, the first of which is direct consequence of coherence for bictegories nd the second of which is nlogous to the proof of coherence for bictegories. Chpter 9 contins the construction of free trictegories; this finlly brings to ber the full power of the lgebric nture of our definition of trictegory. There re mny different options for the underlying dt of trictegory, nd we construct free trictegories for the two choices tht will be most importnt for the proof of coherence. We lso construct free Gry-ctegories s well, nd prove some importnt results needed in the next chpter. We note tht these free constructions re ll left djoints to the obvious forgetful functors. Chpter 10 contins two new coherence theorems. First, we prove tht the free trictegory on grph is strictly triequivlent to the free Gry-ctegory constructed from the sme dt in cnonicl wy. Then we go on to prove tht certin free Gry-ctegories hve very restricted structure. This in turn leds to n esy proof of nother coherence theorem stting tht certin digrms of constrints in ny trictegory lwys commute. This theorem llows us to construct, from ny trictegory T, Gry-ctegory GrT nd triequivlences between these two trictegories. Chpter 11 provides coherence theorem for functors. We begin by nlyzing the free functor on mp of underlying grphs. This leds to coherence theorem for functors stting tht certin digrms consisting of both constrint cells of functor nd the constrints of its trget trictegory lwys commute. We use this theorem to produce Gry-functor GrF : GrS GrT from ny functor F : S T. Three ppendices re included. The first collects few results concerning djoint equivlences nd bidjoint biequivlences tht will be needed throughout the work. We hve lso included here brief review of the theory of mtes. The second ppendix gives unpcked versions of ll the dt in the definitions in Chpter 3. The third ppendix dels with clcultionl issues tht re present in few plces, most notbly Chpters 4, 7, nd 8. The ide of mking the definition of trictegory fully lgebric hs existed informlly for some time but the detils hve never been worked out rigorously. Even though mny of the ides behind the definitions nd proofs here re simple, 9

18 10 CHAPTER 1. INTRODUCTION often the clcultions re quite involved; the proof of Theorem nd ll of the clcultions tht reference Appendix C re good exmples. But these clcultions, nd the coherence theory tht follows, re necessry if trictegories re to be utilized in genuine pplictions. Gordon, Power, nd Street proved n importnt coherence theorem for wek 3-ctegories. We hve ltered their definition, not becuse it is incorrect in some wy, but becuse it is not suited for mking the kinds of constructions tht we desire for future pplictions. In doing so, we were led to simple proofs of importnt coherence results tht could not be stted using the originl definition.

19 Chpter 2 Coherence for bictegories In this chpter, we will give rpid tretment of the coherence theory for bictegories, including full proof for the coherence theorem for functors. The gol of this chpter is to prepre the reder for the pth we will tke through the coherence theory for trictegories, s well s to recll some crucil fcts tht will be used throughout. The overll strtegy here is dpted from the one used in [22] for monoidl ctegories. We will give two proofs tht every bictegory is biequivlent to strict 2- ctegory, ech hving its own flvor. The first proof cn be dispensed with quickly. The second proof requires some of the tools developed for the first, but lso llows us to prove the coherence theorem for functors. 2.1 Bictegoricl conventions In ny bictegory B, we shll use the letters, l, nd r to denote the ssocitivity, left unit, nd right unit isomorphisms, respectively. Verticl composition of 2-cells will be written s conctention, nd the symbol * will be used to denote horizontl composition. The terms pseudofunctor, wek functor, nd homomorphism of bictegories re ll used throughout the literture to refer to the sme concept. We will lwys write functor for this notion; ny strict or lx functor will be lbeled s such. Given functor F, we will genericlly denote its constrints by ϕ since the source nd trget of this constrint mke it cler wht kind of constrint cell it is. We follow the convention of [17] nd not of the other references ([5] nd [37] for instnce) in wht is ment by lx trnsformtion. For our purposes, lx 11

20 12 CHAPTER 2. COHERENCE FOR BICATEGORIES trnsformtion α : F G consists of 1-cells α : F G nd 2-cells F α G Ff α f Gf Fb subject to two xioms. A trnsformtion is lx trnsformtion such tht the cells α f re invertible for every f : b. A trnsformtion between strict 2-functors is 2-nturl trnsformtion if the cells α f re identities for ll f. Since we hve chnged the orienttion of the nturlity isomorphism in the definition of trnsformtion, it is necessry to lter the definition of modifiction by chnging its xiom. These chnges re not substntive, they merely void excessive use of the prefix op-. A numbered prefix, such s in 2-ctegory or 2-functor, will lwys refer to the strict notion. Our nming conventions for the corresponding concepts for trictegories will be the sme, s we reserve the terms functor, trnsformtion, etc., to men the wek version. Any strict or lx version of these concepts will lwys be clled such. α b Gb 2.2 The Yoned embedding This section is devoted to proving coherence theorem by first developing n pproprite Yoned lemm for bictegories. We will not provide ny proofs in this section, we insted refer the reder to [36] or [41]. Proposition Let B, C be bictegories. There is bictegory Bict(B, C) whose 0-cells re the functors F : B C, whose 1-cells re the trnsformtions α : F G, nd whose 2-cells re the modifictions Γ : α β. The proof of this proposition requires identifying the constrint cells nd then checking the bictegory xioms. These constrint cells re obtined from the constrint cells in the trget, giving the following corollry. Corollry If C is strict 2-ctegory nd B is ny bictegory, then the functor bictegory Bict(B, C) is strict 2-ctegory. Definition Let B be bictegory. Then the bictegory B op hs the sme cells s B, the 1-cell source nd trget mps re switched, r op = l, l op = r, nd op fgh = 1 hgf. Now we re in position to define the Yoned mp y : B Bict(B op,ct) nd stte the Yoned Lemm for bictegories.

21 2.3. COHERENCE FOR BICATEGORIES 13 Definition Let B be bictegory. Then the Yoned mp y : B Bict(B op,ct) is defined on the underlying 2-globulr set s follows. The functor y cts by sending n object to the functor which is defined on 0-cells by b B(b, ), on 1-cells by the functor which is g gf on objects, nd on 2-cells by sending α to the trnsformtion with components 1 g α. The functor y cts on the 1-cell f : by sending it to the trnsformtion with component t b given by g fg, nd for h : b c, the 2-cell yf h is 1 fgh. The functor y cts on 2-cells by sending α : f f to the modifiction with component α 1 g. Definition Let P be property of functors between ctegories. A functor F : B C between bictegories is loclly P if ech functor F b hs property P. Theorem (Bictegoricl Yoned Lemm). The Yoned functor y : B Bict(B op,ct) is loclly full nd fithful. Corollry Every bictegory is biequivlent to strict 2-ctegory. Proof. Let I be the sub-2-ctegory of Bict(B op,ct) consisting of those 0- cells which re in the imge of y, those 1-cells which re isomorphic to some yf, nd ll 2-cells between them. It is immedite tht this is 2-ctegory. Then y : B I is loclly full nd fithful by Theorem 2.2.6, nd it is biessentilly surjective nd loclly essentilly surjective by definition. 2.3 Coherence for bictegories This section is devoted to proving coherence theorem of the form every free bictegory is biequivlent to strict free 2-ctegory vi strict functor. Using this, we obtin biequivlence stb B for every bictegory B, where stb is strict 2-ctegory. Other notions of coherence re mentioned Grphs nd free constructions Definition The ctegory Gr(Ct) of ctegory-enriched grphs (which we will lso cll Ct-grphs) hs objects G consisting of set G 0 of objects nd for every pir of objects, b, ctegory G(, b). A mp f : G G of Ct-grphs consists of functions f 0 : G 0 G 0 nd functors f b : G(, b) G (f 0, f 0 b). The free bictegory on Ct-grph G, denoted FG, hs the following underlying 2-globulr set. The set of 0-cells of FG is G 0. The set of 1-cells is inductively defined to include new 1-cells I for ech G 0, 1-cells f : b for ech object f G(, b), nd 1-cells f g if f, g re both 1-cells of FG. The source nd trget functions re defined in the obvious fshion. The set of 2-cells of FG is defined in three steps. The first is to define bsic 2-cell. These re built inductively from the rrows in ll of the G(, b) nd new isomorphism 2-cells fgh, l f, r f by binry horizontl composition. Secondly,

22 14 CHAPTER 2. COHERENCE FOR BICATEGORIES we form composble strings of these bsic 2-cells. Finlly, we quotient out by the equivlence reltion generted by nturlity of the 2-cells fgh, l f, r f, the middle-four interchnge lw, the rule tht the composition α β in FG grees with tht of G if α, β re rrows in some G(, b), nd the two bictegory xioms. Note tht there is n obvious inclusion i : G FG of ctegory-enriched grphs. Proposition The dt bove stisfy the necessry xioms to constitute bictegory. 2. Let B be bictegory. Then given mp f : G B of ctegory-enriched grphs, there is unique strict functor of bictegories f : FG B such tht fi = f in Gr(Ct). Proof. The first sttement is obvious by the definition. The second sttement follows by defining f using induction nd strictness. Now we define the free 2-ctegory on Ct-grph G, denoted F s G. The set of 0-cells is the set G 0. The set of 1-cells is the set of composble strings of length 0, where the unique string of length zero will be the identity 1-cell. The set of 2-cells from one string f n f n 1 f 1 to nother g m g 1 is empty if n m, nd otherwise consists of the strings α n α n 1 α 1 where α i : f i g i in some G(, b). Composition of 1-cells is by conctention, nd composition of 2-cells is given by (α n α 1 ) (β n β 1 ) = (α n β n ) (α 1 β 1 ). It is simple mtter to verify the following proposition, where here j denotes the inclusion of G into F s G. Proposition The dt bove stisfy the necessry xioms to constitute 2-ctegory. 2. Let X be 2-ctegory. Then given mp f : G X of ctegory-enriched grphs, there is unique 2-functor f : F s G X such tht fj = f in Gr(Ct). Thus the sttement of the coherence theorem for bictegories becomes the following. Theorem (Coherence for bictegories). The functor Γ : FG F s G induced by j : G F s G is strict biequivlence Proof of the coherence theorem Definition Let G, G be ctegory-enriched grphs, nd let S, T : G G be mps between them. The ctegory-enriched grph Eq(S, T) is defined to hve objects those G 0 such tht S 0 = T 0. The ctegory Eq(S, T)(, b) hs objects pirs (h, α) where h : b in G nd α : Sh Th is n isomorphism in G (S 0, S 0 b). The morphisms β : (h, α) (h, α ) re those β : h h in G such tht α S(β) = T(β) α.

23 2.3. COHERENCE FOR BICATEGORIES 15 Note tht there is mp π : Eq(S, T) G defined by π() = π(h, α) = h π(β) = β. Lemm Let B, C be bictegories, nd F, G : B C be functors between them. Then Eq(F, G) supports bictegory structure such tht π cn be extended to strict functor Eq(F, G) B. Furthermore, there is trnsformtion σ : Fπ Gπ whose components re ll identity mps. Proof. For the first clim, we must define composition, identity 1-cells, constrint 2-cells, nd check the bictegory xioms. To fix nottion, the constrint cells for F will be ϕ fg nd ϕ 0, while those for G will be ψ fg nd ψ 0. Composition of 1-cells is then defined by the formul (g, β) (f, α) = (gf, ψ fg (β α) ϕ 1 fg ). The identity 1-cell for the object is (id, ψ 0 ϕ 1 0 ). It is simple to check tht the ssocitivity nd unit constrints from B re 2-cells in Eq(F, G) with the pproprite sources nd trgets; from this the bictegory xioms follow immeditely. It is trivil to check tht π cn be extended to strict functor. Finlly, we define the trnsformtion σ : Fπ Gπ. The component t is id. The component t (f, α) is r 1 α l; this is nturl trnsformtion by the definition of morphisms in Eq(F, G) nd the nturlity of both l nd r. The trnsformtion xioms follow esily. Proposition Let F : FX B be functor from free bictegory into ny bictegory. Then there is strict functor G : FX B nd trnsformtion α : F G such tht α = id F for every object. Proof. Since FX is free, there is unique strict functor G : FX B such tht Fi = Gi s mps X B. We lso hve mp ι : X Eq(F, G) which is the identity on objects, sends f to (f, id Ff ), nd sends β to β. Note tht πι = i nd the trnsformtion σ 1 ι is the identity. This produces, by the universl property of FX, unique strict functor ι : FX Eq(F, G) such tht ιi = ι. This gives the equlity π ιi = i, nd since π ι is strict, it must be the identity functor on FX. Then the trnsformtion σ 1 ι is trnsformtion from Fπ ι = F to Gπ ι = G, nd it hs s its component t the 1-cell id G by the definition of σ 1 ι.

24 16 CHAPTER 2. COHERENCE FOR BICATEGORIES It should be noted tht we hve used tht functors of bictegories compose in strictly ssocitive nd unitl fshion in this proof. Let f : X B be mp of ctegory-enriched grphs into bictegory B. Then we cn extend f to mp of ctegory-enriched grphs ˆf : F s X B which is defined s follows. The object function ˆf 0 grees with f 0. The identity 1-cell on gets mpped to the identity 1-cell on f 0, nd ˆf(h) = f(h) where h : b is n object of X(, b). If h n h 1 : b in F s X, then ˆf(h n h 1 ) = ( (fh n fh n 1 ) fh n 2 ) fh 2 ) fh 1. Similrly, ˆf(α n α 1 ) is the 2-cell ( (fα n fα n 1 ) fα 2 ) fα 1. Lemm Let G be ctegory-enriched grph, nd let F : FG X be strict functor into 2-ctegory X. Then there exists unique strict functor F s : F s G B such tht F = F s Γ. Proof. This is n immedite consequence of the universl properties of F, F s, nd the fct tht Γi = j. Lemm Let F, G : B C be functors between bictegories, nd let α : F G be trnsformtion between them. Assume tht F nd G gree on objects, nd tht α = id F for ll objects. Then F is loclly fithful (loclly full) if nd only if G is loclly fithful (loclly full). Proof. We need only show tht F loclly fithful implies G loclly fithful since there is trnsformtion α 1 : G F tht hs ll its components identity mps defined by tking (α 1 ) f = l 1 r (α f ) 1 r 1 l. Using the nturlity of r nd the nturlity of the 2-cells α f, we get Gα = r α f (1 Fα) α 1 f r 1, where α : f f. Thus G is loclly fithful since the the composite on the right is loclly fithful function of α. The sme proof shows locl fullness. Proof of It is cler tht Γ is surjective on objects, so we need only show tht it is loclly n equivlence of ctegories. We hve the mp î : F s G FG, nd it is simple to check tht the composite mp of ctegory-enriched grphs F s G î FG Γ F s G is the identity, so Γ is loclly essentilly surjective. From this it lso follows tht Γ is loclly full. To show tht Γ is loclly fithful, first note tht there is loclly fithful functor T : FG X into strict 2-ctegory X by the Yoned Lemm. There is strict functor S : FG X nd trnsformtion α : S T with α = id by Proposition By the universl property of the mp Γ, there is unique strict functor R : F s G B such tht RΓ = S. Now S is loclly fithful since T is, hence Γ must be loclly fithful s well.

25 2.3. COHERENCE FOR BICATEGORIES Using coherence: strictifiction Let B be bictegory. We use the coherence theorem to construct strictifiction stb of B, long with biequivlence e : stb B. The 2-ctegory stb will hve the sme objects s B. A 1-cell from to b will be string of composble 1-cells of B, where there is unique empty string which will be the identity 1-cell. Before defining 2-cells, we define e on 0- nd 1-cells. On 0-cells, e is the identity. On 1-cells, we define e(f n f n 1 f 1 ) = ( (f n f n 1 )f n 2 ) f 2 )f 1 ; for the empty string :, we set e( ) = I. The set of 2-cells between the strings f n f n 1 f 1 nd g m g m 1 g 1 is defined to be the set of 2-cells between e(f n f n 1 f 1 ) nd e(g m g m 1 g 1 ) in B. It is now obvious how e cts on 2-cells. The 2-ctegory structure of stb is defined s follows. Composition of 1-cells is given by conctention of strings, with the empty string s the identity. It is immedite tht this is strictly ssocitive nd unitl. Verticl composition of 2-cells is s in B, nd this is strictly ssocitive nd unitl since verticl composition of 2-cells in bictegory is lwys strict in this wy. Let A be the sub-ctegory-enriched grph of B with ll the sme objects but with A(, b) the discrete ctegory with oba(, b) = obb(, b). By coherence, the strict functor Γ : FA F s A is biequivlence, nd it is esy to see tht the 2-ctegory F s A is loclly discrete. Thus, in FA, the set of 2-cells between ny two 1-cells is either empty or singleton, depending on whether these 1-cells re mpped to the sme 1-cell by Γ. (Note tht this is one wy to prove the ll digrms of constrint cells commute form of coherence for bictegories.) In prticulr, we hve unique coherence isomorphism e(f n f 1 )e(g m g 1 ) = e(f n f 1 g m g 1 ). Thus we cn now define the horizontl composition α β in stb s the composite e(f n f 1 g m g 1 ) = e(fn f 1 )e(g m g 1 ) α β e(f n f 1)e(g m g 1) = e(f n f 1 g m g 1 ) in B, where the unlbeled isomorphisms re induced by the strict mp FA B. The uniqueness of these isomorphisms ensures tht this definition stisfies the middle-four interchnge lws s well s being strictly ssocitive nd unitl. By definition, e is functoril on verticl composition of 2-cells. The constrint cells for e re induced by the strict mp FA B in similr fshion s bove. The uniqueness of these cells immeditely forces the functor xioms to hold. Finlly, it is trivil to see tht e is biequivlence s it is surjective on objects, loclly surjective on 1-cells, nd 2-locl isomorphism on 2-cells by definition. Thus we hve completed the tsk of producing, for ech bictegory B, strict 2-ctegory stb nd biequivlence e : stb B.

26 18 CHAPTER 2. COHERENCE FOR BICATEGORIES It will be useful lter to note tht there exists biequivlence f : B stb defined s follows. The mp f is the identity on objects, includes ech 1-cell s the string of length 1, nd then is the identity on 2-cells s well. This is functoril on 2-cells, nd we cn tke both constrint cells to be represented by identity 2-cells in B (lthough they re not identities in stb). The functor xioms re then esy to check. The only thing to check to show tht f is biequivlence is tht it is loclly essentilly surjective, but this is esy s every 1-cell f n f 1 is clerly isomorphic to 1-cell of length 1, nmely e(f n f 1 ); the empty string is isomorphic to the identity mp viewed s 1-cell of stb, so f is loclly essentilly surjective. It should be noted tht ef = 1 B, nd fe is biequivlent to 1 stb in Bict(stB, stb) by trnsformtion whose components on objects cn ll be tken to be identities nd whose components on 1-cells ll come from coherence. Remrk The previous prgrph contins ll of the informtion needed to conclude tht every bictegory is equivlent to strict 2-ctegory inside of the 2-ctegory NHom studied by Lck nd Poli in [27]. 2.4 Coherence for functors In this section, we prove coherence result for functors of bictegories. This theorem is nlogous to Theorem in tht it sttes tht free functors re biequivlent to free strict functors. The sttement is slightly more delicte, but it produces similr results to those in Section Free functors Let ϕ : G G be mp in Gr(Ct). Our gol is to produce the free functor generted by ϕ; the source of this functor will be the free bictegory generted by G, but the trget is more complicted object. The ide is tht the trget will be the free bictegory generted by G nd new 2-cells tht will ply the role of constrint cells. We define the bictegory F(G, ϕ) s follows. The 0-cells of F(G, ϕ) re the sme s the objects of G. The 1-cells re generted (using binry composites) by new 1-cells I :, the 1-cells of G, nd new 1-cells ϕ(r) for every 1-cell r in FG. These re subject to the requirement tht ϕ(r) = s in F(G, ϕ) if r is n object G(, b) nd ϕ(r) = s in G, nd we extend this over composition. The 2-cells re defined in sequence of steps nlogous to how we defined the 2-cells of FG. The first step is to form bsic 2-cells from the 2-cells of G, 2-cells ϕ(α) with α 2-cell of FG (subject to the sme kind of condition tht we imposed on the 1-cells ϕ(r)), nd isomorphism constrint cells fgh, l f, r f, ϕ, ϕ fg by binry horizontl composition. Then we form strings of verticlly composble bsic cells, nd finlly we quotient out by the equivlence reltion formed by the necessry nturlity conditions long with the xioms for bictegory nd those required of the 2-cells ϕ, ϕ fg to force ϕ to extend to wek functor

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

UNIFORM 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 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 information

Chapter 14. Matrix Representations of Linear Transformations

Chapter 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 information

The Regulated and Riemann Integrals

The 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 information

Bernoulli Numbers Jeff Morton

Bernoulli Numbers Jeff Morton Bernoulli Numbers Jeff Morton. We re interested in the opertor e t k d k t k, which is to sy k tk. Applying this to some function f E to get e t f d k k tk d k f f + d k k tk dk f, we note tht since f

More information

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

Advanced 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 information

Handout: Natural deduction for first order logic

Handout: Natural deduction for first order logic MATH 457 Introduction to Mthemticl Logic Spring 2016 Dr Json Rute Hndout: Nturl deduction for first order logic We will extend our nturl deduction rules for sententil logic to first order logic These notes

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

Riemann Sums and Riemann Integrals

Riemann 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 information

Riemann Sums and Riemann Integrals

Riemann 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 information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

Duality # Second iteration for HW problem. Recall our LP example problem we have been working on, in equality form, is given below.

Duality # Second iteration for HW problem. Recall our LP example problem we have been working on, in equality form, is given below. Dulity #. Second itertion for HW problem Recll our LP emple problem we hve been working on, in equlity form, is given below.,,,, 8 m F which, when written in slightly different form, is 8 F Recll tht we

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

7.2 The Definite Integral

7.2 The Definite Integral 7.2 The Definite Integrl the definite integrl In the previous section, it ws found tht if function f is continuous nd nonnegtive, then the re under the grph of f on [, b] is given by F (b) F (), where

More information

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a). The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples

More information

Recitation 3: More Applications of the Derivative

Recitation 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 information

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS. THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS RADON ROSBOROUGH https://intuitiveexplntionscom/picrd-lindelof-theorem/ This document is proof of the existence-uniqueness theorem

More information

Math 1B, lecture 4: Error bounds for numerical methods

Math 1B, lecture 4: Error bounds for numerical methods Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the

More information

MAA 4212 Improper Integrals

MAA 4212 Improper Integrals Notes by Dvid Groisser, Copyright c 1995; revised 2002, 2009, 2014 MAA 4212 Improper Integrls The Riemnn integrl, while perfectly well-defined, is too restrictive for mny purposes; there re functions which

More information

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

Lecture 1. Functional series. Pointwise and uniform convergence.

Lecture 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 information

Chapter 0. What is the Lebesgue integral about?

Chapter 0. What is the Lebesgue integral about? Chpter 0. Wht is the Lebesgue integrl bout? The pln is to hve tutoril sheet ech week, most often on Fridy, (to be done during the clss) where you will try to get used to the ides introduced in the previous

More information

Quadratic Forms. Quadratic Forms

Quadratic Forms. Quadratic Forms Qudrtic Forms Recll the Simon & Blume excerpt from n erlier lecture which sid tht the min tsk of clculus is to pproximte nonliner functions with liner functions. It s ctully more ccurte to sy tht we pproximte

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

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

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

Riemann is the Mann! (But Lebesgue may besgue to differ.)

Riemann 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 information

Strong Bisimulation. Overview. References. Actions Labeled transition system Transition semantics Simulation Bisimulation

Strong 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 information

Self-similarity and symmetries of Pascal s triangles and simplices mod p

Self-similarity and symmetries of Pascal s triangles and simplices mod p Sn Jose Stte University SJSU ScholrWorks Fculty Publictions Mthemtics nd Sttistics Februry 2004 Self-similrity nd symmetries of Pscl s tringles nd simplices mod p Richrd P. Kubelk Sn Jose Stte University,

More information

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique? XII. LINEAR ALGEBRA: SOLVING SYSTEMS OF EQUATIONS Tody we re going to tlk bout solving systems of liner equtions. These re problems tht give couple of equtions with couple of unknowns, like: 6 2 3 7 4

More information

THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS. Circa 1870, G. Zolotarev observed that the Legendre symbol ( a p

THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS. Circa 1870, G. Zolotarev observed that the Legendre symbol ( a p THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS PETE L CLARK Circ 1870, Zolotrev observed tht the Legendre symbol ( p ) cn be interpreted s the sign of multipliction by viewed s permuttion of the set Z/pZ

More information

Frobenius numbers of generalized Fibonacci semigroups

Frobenius numbers of generalized Fibonacci semigroups Frobenius numbers of generlized Fiboncci semigroups Gretchen L. Mtthews 1 Deprtment of Mthemticl Sciences, Clemson University, Clemson, SC 29634-0975, USA gmtthe@clemson.edu Received:, Accepted:, Published:

More information

Natural examples of rings are the ring of integers, a ring of polynomials in one variable, the ring

Natural examples of rings are the ring of integers, a ring of polynomials in one variable, the ring More generlly, we define ring to be non-empty set R hving two binry opertions (we ll think of these s ddition nd multipliction) which is n Abelin group under + (we ll denote the dditive identity by 0),

More information

Infinite Geometric Series

Infinite 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 information

CS 275 Automata and Formal Language Theory

CS 275 Automata and Formal Language Theory CS 275 Automt nd Forml Lnguge Theory Course Notes Prt II: The Recognition Problem (II) Chpter II.5.: Properties of Context Free Grmmrs (14) Anton Setzer (Bsed on book drft by J. V. Tucker nd K. Stephenson)

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties 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

Advanced Calculus: MATH 410 Uniform Convergence of Functions Professor David Levermore 11 December 2015

Advanced Calculus: MATH 410 Uniform Convergence of Functions Professor David Levermore 11 December 2015 Advnced Clculus: MATH 410 Uniform Convergence of Functions Professor Dvid Levermore 11 December 2015 12. Sequences of Functions We now explore two notions of wht it mens for sequence of functions {f n

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral Improper Integrls Every time tht we hve evluted definite integrl such s f(x) dx, we hve mde two implicit ssumptions bout the integrl:. The intervl [, b] is finite, nd. f(x) is continuous on [, b]. If one

More information

Introduction to Group Theory

Introduction 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 information

Finite Automata. Informatics 2A: Lecture 3. John Longley. 22 September School of Informatics University of Edinburgh

Finite Automata. Informatics 2A: Lecture 3. John Longley. 22 September School of Informatics University of Edinburgh Lnguges nd Automt Finite Automt Informtics 2A: Lecture 3 John Longley School of Informtics University of Edinburgh jrl@inf.ed.c.uk 22 September 2017 1 / 30 Lnguges nd Automt 1 Lnguges nd Automt Wht is

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

CM10196 Topic 4: Functions and Relations

CM10196 Topic 4: Functions and Relations CM096 Topic 4: Functions nd Reltions Guy McCusker W. Functions nd reltions Perhps the most widely used notion in ll of mthemtics is tht of function. Informlly, function is n opertion which tkes n input

More information

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018

Finite 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 information

1 From NFA to regular expression

1 From NFA to regular expression Note 1: How to convert DFA/NFA to regulr expression Version: 1.0 S/EE 374, Fll 2017 Septemer 11, 2017 In this note, we show tht ny DFA cn e converted into regulr expression. Our construction would work

More information

Recitation 3: Applications of the Derivative. 1 Higher-Order Derivatives and their Applications

Recitation 3: Applications of the Derivative. 1 Higher-Order Derivatives and their Applications Mth 1c TA: Pdric Brtlett Recittion 3: Applictions of the Derivtive Week 3 Cltech 013 1 Higher-Order Derivtives nd their Applictions Another thing we could wnt to do with the derivtive, motivted by wht

More information

Parse trees, ambiguity, and Chomsky normal form

Parse trees, ambiguity, and Chomsky normal form Prse trees, miguity, nd Chomsky norml form In this lecture we will discuss few importnt notions connected with contextfree grmmrs, including prse trees, miguity, nd specil form for context-free grmmrs

More information

and that at t = 0 the object is at position 5. Find the position of the object at t = 2.

and that at t = 0 the object is at position 5. Find the position of the object at t = 2. 7.2 The Fundmentl Theorem of Clculus 49 re mny, mny problems tht pper much different on the surfce but tht turn out to be the sme s these problems, in the sense tht when we try to pproimte solutions we

More information

Linearly Similar Polynomials

Linearly 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

Stuff You Need to Know From Calculus

Stuff You Need to Know From Calculus Stuff You Need to Know From Clculus For the first time in the semester, the stuff we re doing is finlly going to look like clculus (with vector slnt, of course). This mens tht in order to succeed, you

More information

Week 10: Line Integrals

Week 10: Line Integrals Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.

More information

MATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35

MATH 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 information

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as

Improper 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 information

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying

W. 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 information

Review of basic calculus

Review of basic calculus Review of bsic clculus This brief review reclls some of the most importnt concepts, definitions, nd theorems from bsic clculus. It is not intended to tech bsic clculus from scrtch. If ny of the items below

More information

Linear Algebra 1A - solutions of ex.4

Linear Algebra 1A - solutions of ex.4 Liner Algebr A - solutions of ex.4 For ech of the following, nd the inverse mtrix (mtritz hofkhit if it exists - ( 6 6 A, B (, C 3, D, 4 4 ( E i, F (inverse over C for F. i Also, pick n invertible mtrix

More information

SYDE 112, LECTURES 3 & 4: The Fundamental Theorem of Calculus

SYDE 112, LECTURES 3 & 4: The Fundamental Theorem of Calculus SYDE 112, LECTURES & 4: The Fundmentl Theorem of Clculus So fr we hve introduced two new concepts in this course: ntidifferentition nd Riemnn sums. It turns out tht these quntities re relted, but it is

More information

1 Online Learning and Regret Minimization

1 Online Learning and Regret Minimization 2.997 Decision-Mking in Lrge-Scle Systems My 10 MIT, Spring 2004 Hndout #29 Lecture Note 24 1 Online Lerning nd Regret Minimiztion In this lecture, we consider the problem of sequentil decision mking in

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1

Exam 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 information

CS 275 Automata and Formal Language Theory

CS 275 Automata and Formal Language Theory CS 275 Automt nd Forml Lnguge Theory Course Notes Prt II: The Recognition Problem (II) Chpter II.6.: Push Down Automt Remrk: This mteril is no longer tught nd not directly exm relevnt Anton Setzer (Bsed

More information

Before we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!!

Before we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!! Nme: Algebr II Honors Pre-Chpter Homework Before we cn begin Ch on Rdicls, we need to be fmilir with perfect squres, cubes, etc Try nd do s mny s you cn without clcultor!!! n The nth root of n n Be ble

More information

N 0 completions on partial matrices

N 0 completions on partial matrices N 0 completions on prtil mtrices C. Jordán C. Mendes Arújo Jun R. Torregros Instituto de Mtemátic Multidisciplinr / Centro de Mtemátic Universidd Politécnic de Vlenci / Universidde do Minho Cmino de Ver

More information

Math 4310 Solutions to homework 1 Due 9/1/16

Math 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 information

Lecture 3 ( ) (translated and slightly adapted from lecture notes by Martin Klazar)

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 information

Review of Riemann Integral

Review 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 information

Notes on length and conformal metrics

Notes 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 information

approaches as n becomes larger and larger. Since e > 1, the graph of the natural exponential function is as below

approaches 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 information

Integral points on the rational curve

Integral points on the rational curve Integrl points on the rtionl curve y x bx c x ;, b, c integers. Konstntine Zeltor Mthemtics University of Wisconsin - Mrinette 750 W. Byshore Street Mrinette, WI 5443-453 Also: Konstntine Zeltor P.O. Box

More information

arxiv: v1 [math.ra] 1 Nov 2014

arxiv: v1 [math.ra] 1 Nov 2014 CLASSIFICATION OF COMPLEX CYCLIC LEIBNIZ ALGEBRAS DANIEL SCOFIELD AND S MCKAY SULLIVAN rxiv:14110170v1 [mthra] 1 Nov 2014 Abstrct Since Leibniz lgebrs were introduced by Lody s generliztion of Lie lgebrs,

More information

Chapter 5. Numerical Integration

Chapter 5. Numerical Integration Chpter 5. Numericl Integrtion These re just summries of the lecture notes, nd few detils re included. Most of wht we include here is to be found in more detil in Anton. 5. Remrk. There re two topics with

More information

How to simulate Turing machines by invertible one-dimensional cellular automata

How to simulate Turing machines by invertible one-dimensional cellular automata How to simulte Turing mchines by invertible one-dimensionl cellulr utomt Jen-Christophe Dubcq Déprtement de Mthémtiques et d Informtique, École Normle Supérieure de Lyon, 46, llée d Itlie, 69364 Lyon Cedex

More information

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature CMDA 4604: Intermedite Topics in Mthemticl Modeling Lecture 19: Interpoltion nd Qudrture In this lecture we mke brief diversion into the res of interpoltion nd qudrture. Given function f C[, b], we sy

More information

c n φ n (x), 0 < x < L, (1) n=1

c n φ n (x), 0 < x < L, (1) n=1 SECTION : Fourier Series. MATH4. In section 4, we will study method clled Seprtion of Vribles for finding exct solutions to certin clss of prtil differentil equtions (PDEs. To do this, it will be necessry

More information

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

CALCULUS WITHOUT LIMITS

CALCULUS WITHOUT LIMITS CALCULUS WITHOUT LIMITS The current stndrd for the clculus curriculum is, in my opinion, filure in mny spects. We try to present it with the modern stndrd of mthemticl rigor nd comprehensiveness but of

More information

Cubical Structures for Higher-Dimensional Type Theories

Cubical Structures for Higher-Dimensional Type Theories Cubicl Structures for Higher-Dimensionl Type Theories Ed Morehouse October 30, 2015 1 / 36 A higher-dimensionl type theory depends on notion of higher-dimensionl bstrct spces. Mny choices: globulr, simplicil,

More information

Here we study square linear systems and properties of their coefficient matrices as they relate to the solution set of the linear system.

Here we study square linear systems and properties of their coefficient matrices as they relate to the solution set of the linear system. Section 24 Nonsingulr Liner Systems Here we study squre liner systems nd properties of their coefficient mtrices s they relte to the solution set of the liner system Let A be n n Then we know from previous

More information

Taylor Polynomial Inequalities

Taylor Polynomial Inequalities Tylor Polynomil Inequlities Ben Glin September 17, 24 Abstrct There re instnces where we my wish to pproximte the vlue of complicted function round given point by constructing simpler function such s polynomil

More information

Lecture 09: Myhill-Nerode Theorem

Lecture 09: Myhill-Nerode Theorem CS 373: Theory of Computtion Mdhusudn Prthsrthy Lecture 09: Myhill-Nerode Theorem 16 Ferury 2010 In this lecture, we will see tht every lnguge hs unique miniml DFA We will see this fct from two perspectives

More information

Spanning tree congestion of some product graphs

Spanning tree congestion of some product graphs Spnning tree congestion of some product grphs Hiu-Fi Lw Mthemticl Institute Oxford University 4-9 St Giles Oxford, OX1 3LB, United Kingdom e-mil: lwh@mths.ox.c.uk nd Mikhil I. Ostrovskii Deprtment of Mthemtics

More information

FUNDAMENTALS OF REAL ANALYSIS by. III.1. Measurable functions. f 1 (

FUNDAMENTALS OF REAL ANALYSIS by. III.1. Measurable functions. f 1 ( FUNDAMNTALS OF RAL ANALYSIS by Doğn Çömez III. MASURABL FUNCTIONS AND LBSGU INTGRAL III.. Mesurble functions Hving the Lebesgue mesure define, in this chpter, we will identify the collection of functions

More information

Finite Automata. Informatics 2A: Lecture 3. Mary Cryan. 21 September School of Informatics University of Edinburgh

Finite Automata. Informatics 2A: Lecture 3. Mary Cryan. 21 September School of Informatics University of Edinburgh Finite Automt Informtics 2A: Lecture 3 Mry Cryn School of Informtics University of Edinburgh mcryn@inf.ed.c.uk 21 September 2018 1 / 30 Lnguges nd Automt Wht is lnguge? Finite utomt: recp Some forml definitions

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC 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 information

Theoretical foundations of Gaussian quadrature

Theoretical 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 information

1 Probability Density Functions

1 Probability Density Functions Lis Yn CS 9 Continuous Distributions Lecture Notes #9 July 6, 28 Bsed on chpter by Chris Piech So fr, ll rndom vribles we hve seen hve been discrete. In ll the cses we hve seen in CS 9, this ment tht our

More information

ECO 317 Economics of Uncertainty Fall Term 2007 Notes for lectures 4. Stochastic Dominance

ECO 317 Economics of Uncertainty Fall Term 2007 Notes for lectures 4. Stochastic Dominance Generl structure ECO 37 Economics of Uncertinty Fll Term 007 Notes for lectures 4. Stochstic Dominnce Here we suppose tht the consequences re welth mounts denoted by W, which cn tke on ny vlue between

More information

DIRECT CURRENT CIRCUITS

DIRECT CURRENT CIRCUITS DRECT CURRENT CUTS ELECTRC POWER Consider the circuit shown in the Figure where bttery is connected to resistor R. A positive chrge dq will gin potentil energy s it moves from point to point b through

More information

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique? XII. LINEAR ALGEBRA: SOLVING SYSTEMS OF EQUATIONS Tody we re going to tlk out solving systems of liner equtions. These re prolems tht give couple of equtions with couple of unknowns, like: 6= x + x 7=

More information

Overview of Calculus I

Overview of Calculus I Overview of Clculus I Prof. Jim Swift Northern Arizon University There re three key concepts in clculus: The limit, the derivtive, nd the integrl. You need to understnd the definitions of these three things,

More information

5.5 The Substitution Rule

5.5 The Substitution Rule 5.5 The Substitution Rule Given the usefulness of the Fundmentl Theorem, we wnt some helpful methods for finding ntiderivtives. At the moment, if n nti-derivtive is not esily recognizble, then we re in

More information

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics SCHOOL OF ENGINEERING & BUIL ENVIRONMEN Mthemtics An Introduction to Mtrices Definition of Mtri Size of Mtri Rows nd Columns of Mtri Mtri Addition Sclr Multipliction of Mtri Mtri Multipliction 7 rnspose

More information

Lecture 13 - Linking E, ϕ, and ρ

Lecture 13 - Linking E, ϕ, and ρ Lecture 13 - Linking E, ϕ, nd ρ A Puzzle... Inner-Surfce Chrge Density A positive point chrge q is locted off-center inside neutrl conducting sphericl shell. We know from Guss s lw tht the totl chrge on

More information

1 Sets Functions and Relations Mathematical Induction Equivalence of Sets and Countability The Real Numbers...

1 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 information

Vyacheslav Telnin. Search for New Numbers.

Vyacheslav Telnin. Search for New Numbers. Vycheslv Telnin Serch for New Numbers. 1 CHAPTER I 2 I.1 Introduction. In 1984, in the first issue for tht yer of the Science nd Life mgzine, I red the rticle "Non-Stndrd Anlysis" by V. Uspensky, in which

More information

The practical version

The practical version Roerto s Notes on Integrl Clculus Chpter 4: Definite integrls nd the FTC Section 7 The Fundmentl Theorem of Clculus: The prcticl version Wht you need to know lredy: The theoreticl version of the FTC. Wht

More information

Chapter 3. Vector Spaces

Chapter 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 information