Category Theory Course. John Baez March 28, 2018

Size: px
Start display at page:

Download "Category Theory Course. John Baez March 28, 2018"

Transcription

1 Cateory Theory Course John aez March 28,

2 Contents 1 Cateory Theory: Denton o a Cateory Cateores o mathematcal objects Cateores as mathematcal objects Don Mathematcs nsde a Cateory Lmts and Colmts Products Coroducts General Lmts and Colmts Equalzers, Coequalzers, Pullbacks, and Pushouts (Week 3) Equalzers Coequalzers Pullbacks Pullbacks and Pushouts Lmts or all nte darams Week Mathematcs etween Cateores Natural Transormatons Mas etween Cateores Natural Transormatons Examles o natural transormatons Equvalence o Cateores djunctons What are adjunctons? Examles o djunctons Daonal Functor Darams n a Cateory as Functors Unts and Counts o djunctons Cartesan Closed Cateores Evaluaton and Coevaluaton n Cartesan Closed Cateores Internalzn Comoston Elements Week Subobjects Symmetrc Monodal Cateores Guest lecture by Chrstna Osborne What s a Monodal Cateory? Gon back to the denton o a symmetrc monodal cateory

3 9 Week The subobject classer n Grah Set Theory, Toos, and Loc Where does toos theory o rom here?

4 1 Cateory Theory: Unes mathematcs. Studes the mathematcs o mathematcs (smlar to mathematcal loc). Moves towards hher-dmensonal alebra ( homotoyn mathematcs). Set Theory 0-dmensonal Cateory Theory 1-dmensonal 4

5 1.1 Denton o a Cateory cateory C conssts o: class Ob(C) o objects. I x Ob(C), we smly wrte x C. Gven x, y C, there s a set Hom C (x, y), called a homset, whose elements are called morhsms or arrows rom x to y. I Hom C (x, y), we wrte : x y. Gven : x y and : y z, there s a morhsm called ther comoste : x z. y x z Comoston s assocatve: (h ) = h ( ) ether sde s welldened. h h h ( )=(h ) For any x C, there s an dentty morhsm 1 x : x x 1 x We have the let and rht unty laws: Examles o Cateores x 1 x = or any : x x 1 x = or any : x x Cateores o mathematcal objects For any knd o mathematcal object, there s a cateory wth objects o that knd and morhsms ben the structure-reservn mas between the objects o that knd. Examle 1.1. Set s the cateory wth sets as objects and unctons as morhsms. 5

6 Examle 1.2. Gr s the cateory wth rous as objects and homomorhsms as morhsms. Examle 1.3. For any eld k, Vect k s the cateory wth vector saces over a eld k as objects and lnear mas as morhsms. Examle 1.4. Rn s the cateory wth rns as objects and rn homomorhsms as morhsms. These are cateores o alebrac objects, namely, a set (stu) wth oeratons (structure) such that a bunch o equatons hold (roertes), wth morhsms ben unctons that reserve the oeratons. ll ths s ormalzed n unversal alebra, usn alebrac theores. There are also cateores o non-alebrac adets: Examle 1.5. To s the cateory wth toolocal saces as objects and contnuous mas as morhsms. Examle 1.6. Met s the cateory wth metrc saces as objects and contnuous mas as morhsms. Examle 1.7. Meas s the cateory wth measurable saces as objects and measurable mas as morhsms Cateores as mathematcal objects There are lots o small, manaebable cateores: Denton 1.1. monod s a cateory wth one object. Remark. Hom C (, ) or ths object, s a set wth assocatve roduct and unt. 1 Examle The multlcaton table above tells us how to comose morhsms. The resultn monod s usually called Z/2Z. Now, consder the same daram but wth ths multlcaton table nstead: Here we et another amous monod: = true 1 = alse = alse or alternatvely = true = or = and 6

7 Denton 1.2. morhsm : x y s an somorhsm t has an nverse : y x, that s, a morhsm wth: = 1 x = 1 y I there exsts an somorhsm between two objects x, y C, we say they re somorhc. Denton 1.3. cateory where all morhsms are somorhsms s called a rouod. Examle 1.9. "The rouod o nte sets" s obtaned by takn FnSet, wth nte sets as objects and unctons as morhsms, and then thrown out all morhsms excet somorhsms (.e. bjectons). Denton 1.4. monod that s a rouod s called a rou. Remark. the usual "elements" o a rou are now the morhsms. Denton 1.5. cateory wth only dentty morhsms s a dscrete cateory. Remark. So any set s the set o objects o some dscrete cateory n a unque way. So a dscrete cateory s "essentally the same" as a set x x Denton 1.6. reorder s a cateory wth at most one morhsm n each homset. I there s a morhsm : x y n a reorder, we say x y ; not, we say x y. For a reorder, the cateory axoms just say: Comoston: x y and y z = x z. ssocatvty s automatc. Identtes: x x always. Let and rht unt laws are automatc. We re not ettn antsymmetry: x y and y x = x = y. Denton 1.7. n equvalence relaton s a reorder that s also a rouod. Prooston 1.1. reoder s a rouod and only ths extra law holds or all x, y C: x y = y x 7

8 Here we have transtvty, relexvty, and symmetry o. So we usually call ths relaton. Prooston 1.2. reorder s skeletal,.e. somorhc objects are equal, and only ths extra law holds or all x, y C: In ths case we say that C s a oset. (x y) (y x) = x = y Examle Preorder that s a rouod but not a oset: Examle Preorders that are osets but not rouods: Examle Preorder that s both a oset and a rouod: Snce cateores can be seen as mathematcal objects, we should dene mas between them: Denton 1.8. Gven cateores C and D, a unctor F : C D conssts o: a uncton called F rom Ob(C) to Ob(D): x C then F(x) D. unctons called F rom Hom C (x, y) to Hom C (F(x), F(y)), or all objects x, y C: : x y then F( ) : F(x) F(y) such that: F( ) = F() F( ) whenever ether sde s well dened. F(1 x ) = 1 F(x) or all x C. So a unctor looks lke ths: y F F( ) F(y) F() x z F(x) F() F( ) F(z) 1 x 1 F(x) 8

9 Examle There s a cateory called "1". It looks lke ths: 1 What s a unctor F : 1 C where C s any cateory? 1 F F( ) 1 The answer s: an object n C, snce or any object x C, there exsts a unque unctor F : 2 C such that F( ) = x. Examle There s a cateory called "2". It looks lke ths: Remark. lso a oset. x 1 x y 1 y What s a unctor F : 2 C where C s any cateory? It s just a morhsm or arrow n C! For any morhsm : n C, there exsts a unque unctor F : 2 C such that F( ) =. Prooston 1.3. I F : C D and G : D E are unctors, then you can dene a unctor G F : C E and (H G) F = H (G F). lso, or any cateory C there s an dentty unctor 1 C : C C wth: 1 C (x) = x or all x C 1 C ( ) = or all : x y n C F 1 C = F or all F : C D 1 C H = H or all H : D C Denton 1.9. Cat s the cateory whose objects are "small" cateores and whose morhsms are unctors. Remark. "small" cateory s one wth a set o objects. For examle, Set s not a small cateory because Set has a class o objects. Gr and Rn are also not small cateores or the same reason as Set. The cateores 1 and 2 on the other hand, are small cateores. 9

10 1.2 Don Mathematcs nsde a Cateory lot o math s done nsde Set, the cateory o sets and unctons. Let s try to eneralze all that stu to other cateores by relacn Set wth a eneral cateory C. In Set, we have onto and one-to-one unctons. In a cateory C, we eneralze these concets to emorhsms or es and monomorhsms or monos resectvely. Denton morhsm : s a mono or all, h : Q we have: = h = = h Q Remark. lso known as ben a let-cancellatve morhsm h Prooston 1.4. In Set, a morhsm s monc and only t s a one-to-one uncton. Turnn around the arrows n the denton o mono, we et: Denton morhsm : s a e or all, h : Q we have: = h = = h Q h Remark. lso known as ben a rht-cancellatve morhsm Prooston 1.5. In Set, a morhsm s an e and only t s an onto uncton. Denton morhsm : s an so there exsts 1 : that s a let nverse 1 = 1 and a rht nverse 1 = 1 Prooston 1.6. In Set, : s a mono and only t has a let nverse, and an e and only t has a rht nverse (usn the axom o choce). Thus, s an somorhsm and only t s mono and e. Prooston 1.7. In Rn (rns and rn homomorhsms) : Z Q (n n) s a mono and an e, but not an so. In act, t has nether a let nor a rht nverse. Proo. There sn t a rn homorhsm : Q Z, snce t would send 1 2 to some multlcatve nverse o 2. Why s mono? We need: = h = = h R Z Q h I ( )(r) = ( h)(r) r R, snce s one-to-one (r) = h(r) r (as a uncton), ths mles = h. Why s e? We need: 10

11 = h = = h Z Q R h The man dea s that any morhsm rom Q s comletely determned by ts values on the nteers. We know () = h() and (q) = h(q). So (1) = ( q q ) = (q)( 1 q ), so we can wrte ( 1 q ) = 1 (q). So ( q ) = ()( 1 q ) = (). So (and smlarly or h) s determned by ts (q) values on the nteers; snce they aree on Z, they re equal. Puzzle: In To, nd : that s e and mono, but not an so. 1.3 Lmts and Colmts These are ways o buldn new objects n a cateory C rom darams n C Products Denton Gven objects, C, a roduct o them s an object Z equed wth morhsms, and q called rojectons to and. Z q such that or any canddate Q Q q there exsts a unque ψ : Q Z such that the ollown daram commutes ψ Z q Q The denton o coroduct s just the same but wth all arrows reversed. 11

12 Prooston 1.8. In Set, the roduct o and, denoted, s: Proo. Gven = {(x, y) : x, y } Q Let ψ : Q be ψ(q) = ( (q), (q)). We ndeed et ψ =, q ψ =, and ψ s the unque ma obeyn these equatons. We could also take as our roduct any set S that s somorhc to, va some so α : S α S q α α q Use α and q α as rojectons; then you can check that α S q α s also a roduct o and. So any object somorhc to a roduct can also be a roduct. Prooston 1.9. Suose W q and Z q are both a roduct o and. Then W and Z are somorhc. That s, roducts are unque u to somorhsm. Proo. Snce W s a roduct. There exsts a unque ψ : Z W makn ths daram commute: 12

13 !ψ Z q W lso, snce Z s a roduct, There exsts a unque ϕ : W Z makn ths daram commute:!ϕ Z q W It suces to show ϕ and ψ are nverse. Why s ψ ϕ : W W the dentty? I we can show ths, the same arument wll show ϕ φ = 1 Z. Snce There s a unque arrow makn ths daram commute:! W q W 1 W : W W does the job, but so does ψ ϕ : W W. nd so by unqueness, 1 W = ψ ϕ. Prooston I a morhsm s an so, t s both a mono and an e. Remark. We ve seen that the converse s alse Proo. I : has a let nverse 1, t s a mono: = h = 1 = 1 h = = h, h Smlarly, I : has a rht nverse 1, t s an e: = h = 1 = h 1 = = h, h 13

14 Denton morhsm wth a let nverse s called a slt monomorhsm; a morhsm wth a rht nverse s called a slt emorhsm. Remark. In Set, every mono (or e) slts, but we saw that ths sn t true n Rn or To Coroducts Denton Gven objects and, a coroduct o and s an object Z equed wth morhsms, j called nclusons. Z j whch s unversal, whch means or any daram o the orm: Q There exsts a unque ψ : Z Q makn the ollown daram commute: j Z Q!ψ That s, = ψ and = ψ j. Prooston In Set, a coroduct o and s ther dsjont unon. wth morhsms: + = {0} {1} : + x (x, 0) j : + y (y, 1) Cateory PRODUCTS COPRODUCTS + Set cartesan roduct S T dsjont unon S T To cartesan roduct wth roduct tooloy dsjont unon Gr roduct o rous G H ree roduct G H bgr (abelan cateory) roduct o abelan rous Vect k (abelan cateory) V W drect sum o vector saces V W 14

15 The ree roduct G H conssts o equvalence classes o words x 1 x 2... x n where x G H, wth the ollown relatons: x 1 x 2... x 1 1x x n x 1 x 2... x 1 x x n x 1 x 2... x x x n x 1 x 2... x 1 yx x n where 1 s the dentty n G or H, and x, x +1 G or x, x +1 H, and y = x x General Lmts and Colmts Gven any daram n a cateory C: U Z cone over the daram s a choce o morhsms rom Z to each object n the daram, such that all newly ormed tranles commute: Z U Z lmt o the daram s a cone that s unversal,.e. ven any comettor Q (another canddate), another cone over the same daram, there exsts a unque ψ : Q Z such that all tranles ncludn ψ commute. I U s any object n the daram and : Z U s the morhsm n the unversal cone, and : Q U s the morhsm n the comettor, then = ψ!ψ Z Q U U Z cocone s lke a cone but wth arrows reversed. colmt s a unversal cocone. 15

16 Darams LIMITS COLIMITS bnary roduct bnary coroduct equalzer coequalzer ullback C C C C ushout termnal object 1 ntal object 0 What s a lmt o the emty daram? It s an object Z such that or all objects Q there exsts a unque ψ : Q Z. Ths s called a termnal object. In Set, any 1-element set s a termnal object. In Vect k, any 0-dmensal vector sace s a termnal object. In Rn, the zero rn, whch s the unque rn (u to somorhsm) consstn o one element s a termnal object. Smlarly, an ntal object Z s one such that or any object Q, there exsts a unque ψ : Z Q In Set, the emty set s an ntal object. In Vect k, any 0-dmensonal vector sace s an ntal object. In Rn, the rn o nteers Z s an ntal object. In any abelan cateory, ntal objects are termnal and vce-versa. 2 Equalzers, Coequalzers, Pullbacks, and Pushouts (Week 3) 2.1 Equalzers Denton 2.1. n equalzer s a lmt o ths daram: Prooston 2.1. In Set, the equalzer o s 16

17 Z q q = = wth Z = {a (a) = (a)}. where : Z has (a) = a or all a Z (It s an ncluson), and q s orced to be =. Remark. Snce q s determned by, we usually don t draw t, and wrte an equalzer lke Z colmts.. Smlarly, or lots o other lmts and Proo. We need to check that ths cone s unversal, so take a comettor: Q Z We want to show there exsts a unque ψ : Q Z makn everythn commute: ψ =. Snce (a) = a or all a, ( ψ)(q) = ψ(q) or all q Q. Thus, ψ = smly says ψ(q) = (q) or all q Q. Thus, there exsts a unque ψ makn everythn commute, namely ψ =. Prooston 2.2. In Gr, bgr, or Vect k, the equalzer o ker( ). Remark. ker( ) = {a (a) = (a)} s Proo. The same as beore. Prooston 2.3. I Z s an equalzer then s monc. Moral: moncs and lmts et alone well; ecs and colmts do too. Proo. ssume we have an equalzer. To check that s monc, we consder: h Z k and show h = k = h = k. s a comettor to Z. Snce Z s unversal, there exsts a unque ψ : Z makn everythn commute, so ψ = h = k. 17

18 2.2 Coequalzers Denton 2.2. coequalzer o daram..e. Z s a unversal cocone over ths (commutes) s.t. we have a comettor Z there exsts a unque ψ : Z Q makn everythn commute. Q Prooston 2.4. In Set, the coequalzer o s Z where Z = / where s the nest equvalence relaton s.t. (a) (a) or all a and mas b to ts equvalence class [b]. Proo. = wth ths denton, so ths s a cocone. Why s t unversal? Why does there exst a unque ψ : Z Q makn ths daram commute? Z Q!ψ To commute, we need: ψ = ψ((b)) = (b) ψ([b]) = (b) b Ths shows ψ s unque t exsts; to show t exsts, we need to check t s well-dened: I [b] = [b ] we need to show (b) = (b ). Snce [b] = [b ], ether b = b, or (a) = b and (a) = b or some a. Snce = or all a, the ma s well-dened. Prooston 2.5. In bgr or Vect k, the coequalzer o coker( ) = /m( ). s Prooston 2.6. I Z s a coequalzer, s ec. Proo. Same as roo o the dual rooston or equalzers. 18

19 2.3 Pullbacks Denton 2.3. The lmt o ths daram: s called a ullback, and denoted: C The object here, tmes over C, or the bered roduct, and we only need to draw ts morhsms to and called rojectons. We wrte: q C C Z when Z s a ullback. C Prooston 2.7. In Set, the ullback o C wth C = {(a, b) (a) = (b)} : C q : C s (a, b) a (a, b) b Proo. Ths s clearly a cone: to show t s unversal, use the next Pro. Prooston 2.8. Gven C the equalzer exsts:, the roduct exsts and Z π 1 π 2 C π 1 where : Z s the equalzer o C π 2, then ths s a ullback: π 1 Z π 2 C 19

20 2.4 Pullbacks and Pushouts Prooston 2.9. To comute a ullback o C a roduct o and : t suces to take π 1 π 2 C and then orm the equalzer o: Z π 1 π 2 C ullback: vn the desred π 1 Z π 2 C Proo. Note the last square commutes snce π 1 = π 2, so t s a canddate or ben the ullback. To show t s unversal, consder a comettor: Q!ψ q Z only lttle square does not commute. π 1 π 2 C How do we show there exsts a unque ψ : Q Z makn the newly ormed tranle commute? y the unversal roerty o the roduct, we et: Q q π 1 π 2 C makn ths commute. Why s Q a comettor? We need to show π 1 ψ = π 2 ψ. π 1 ψ = = q = π 2 ψ (by varous comm. darams) 20

21 y the unversal roerty o the equalzer, there exsts a unque ψ : Q Z makn ths daram commute: ψ Z C Q ϕ π 1 π 2 In artcular, ϕ = ψ. Why does ths mly: 1. π 1 ψ = 2. π 2 ψ = q 3. a unque ψ makn (1) and (2) true. For (1) and (2), t suces to show π 1 ψ = and π 2 ϕ = q, but we already had ths by the unversal roerty o the roduct. Exercse 1. check (3). Cateory theory makes trval thns trvally trval. - Mchael arr I m content to let them be trval. - Tmothy Gowers 2.5 Lmts or all nte darams cateory has lmts or all nte darams and only t has: roducts equalzers termnal object 1 Prooston I ths s a ullback: C and s a mono, then s a mono too. q C Proo. ssume s a mono. Show s a mono: 21

22 h C k q C Need: h = k = h = k h = k = h = k = q h = q k (by assocatvty and commutatvty o daram.) = q h =q k (snce s mono.) Note s a comettor to the ullback:!ψ q h=q k q h = q h = q k h= k C So there exsts a unque ψ : C makn ths commute. oth h and k do make t commute, so h = k. Prooston Gven: C D E F 1. I and are ullbacks, so s the combned square. 2. I and are ullbacks, so s. 3 Week Mathematcs etween Cateores Recall that ven cateores C and C a unctor F : C D s a ma sendn objects c C to objects F(c) D, morhsm : c c n C to morhsm F( ) : F(c) F(c ) n D reservn comoston F( ) = F( ) F( ), and denttes F(1 c ) = F(1 F(c) ). There are many "oretul unctor" on rom cateores o "ancy" mathematcal adets to cateores o less ancy ones, orettn some extra roertes, structure or stu. 22

23 Rn Vect k U 3 U 4 bgr U 2 Gr To Set 2 U 1 U 5 U 6 Examle 3.1. U 1 : Gr Set sends any rou G to ts underlyn set, and any homomorhsm : G G to ts underlyn uncton. Examle 3.2. Gven cateores C and D, there s a cateory C D, where objects are order ars (c, d) wth c C, d D, and morhsm are order ars (, ) wth a morhsm n C and a morhsm n D: ven : c c n C and : d d n D then (, ) : (c, d) (c, d ). We dene (, ) (, ) = (, ). In act C D s the roduct o the objects C, D Cat, whch s the cateory wth (small) cateores as objects unctors as morhsms Set mon other thns ths means we have rojectons C D q C D Set s a lare cateory but we can stll dene Set 2 = Set Set wth ars o sets as objects. In the chart, let U 6 : Set 2 Set, (S, T) S be the rojecton onto the rst comonent. Functons can be nce n two ways: one-to-one and onto. Functors can be nce n three ways: Denton 3.1. unctor F : C D s athul or any c, c C, F : hom(c, c ) hom(f(c), F(c )) s one-to-one. Denton 3.2. unctor F : C D s ull or any c, c C, F : hom(c, c ) hom(f(c), F(c )) s onto. Denton 3.3. unctor F : C D s essentally surjectve or any d D, there exsts c C such that F(c) = d, meann there exsts an somorhsm : F(c) d n D. Examle 3.3. Comare FnVect R (nte dmensonal vector saces) to ths cateory C, wth 23

24 {0}, R, R 2,... as objects, all lnear mas between these as morhsms There s a unctor F : C FnVect R, dened n objects as and smlarly or morhsms R n R n : R n R n : R n R n Ths s athull and ull, not surjectve on objects, but essentally surjectve. Later we ll dene "equvalent" cateores and see that F : C FnVect R s athull, ull and essentally surjectve then C and D are equvalent. Denton 3.4. We say: unctor U : C D orets nothn t s athull, ull, and essentally surjectve. unctor U : C D orets (at most) roertes t s athull and ull. unctor U : C D orets (at most) structure t s athull. In eneral we say U orets (at most) stu. Examle 3.4. U 1 : Gr Set orets (at most) structure. It s athull: ven, : G G n Gr, U 1 ( ) = U 1 ( ) =. It s not ull: there are usually unctons : U 1 (G) U 1 (G ) that don t come rom rou homomorhsm, e. : (h) = () (h) or (1) = 1. Examle 3.5. U 2 : bgr Gr orets (at most) roertes: the commutatve law s orotten. Ths s athull and also ull: you have any rou homomorhsm : U 2 () U 2 ( ) then U 2 ( ) = or some homomorhsm o abelan rous :. ut t s not esentally surjectve, G s nonabelan, G U 2 () or any bgr. Examle 3.6. U 6 : Set 2 Set orets stu: U 6 (S, S ) = S (t oret the second set n the ar). Techncally t s not athull: we can have 2 derent morhsms (, ), (, ) : (S, S ) (T, T ) wth U 6 (, ) = = U 6 (, ). In our chart, every oretul unctor U : C D has a "let adjont" F : D C whch "reely creates" stu, structure or roertes that U orets. Examle 3.7. S, F 1 (S). F 1 : Set Gr takes a set S and orm the ree roduct on F 2 : Gr bgr abelanzes any rou G, ormn F 6 : Set Set 2, S (S, ) F 2 (G) = G < xyx 1 y 1 > To dene adjont unctors (and many other thns) we need... 24

25 3.2 Natural Transormatons Gven two unctors F, G : C D, we can dene a natural transormaton α : F G. F(x) F( ) F(y) F x y α x α y G G(x) G( ) G(y) Denton 3.5. Gven unctors F, G : C D a transormaton α : F G s a uncton sendn each object x C to a morhsm α x : F(x) G(x). We say α : F G s a natural transormaton or each morhsm : x y n C ths square commutes: F(x) α x G(x) F( ) G( ) F(y) α y G(y) Prooston 3.1. Gven cateores C and D there s a cateory, the unctor cateory D C wth: objects ben unctors F : C D morhsms ben natural transormaton α : F G. In D C we comose α : F G, β : G H to et β α : F H as ollows: (β α) x : F(x) H(x) or all x C s ven by β x α x. In D C the dentty 1 F : F F, (1 F ) x : F(x) F(x) s ven by 1 F(x). Proo: We ll check that the comoste β α s natural. Gven : x y n C, we want the ollown daram to commute: (β α)x F(x) H(x) F( ) H( ) F(y) H(y) (β α) y We have F(x) F( ) F(y) α x α y (β α) x G(x) G( ) G(y) (β α) y β x H(x) H( ) β H(y) 25

26 Snce the to and botton commutes (α and β are natural), the whole daram commute. Remark. So just as ven two sets and, there s a set o all unctons :, ven two cateores, there s a cateory o all unctors F :. Gven two sets and they have a roduct: = {(x, y) : x, y } Notce = but we want to be honest = and there s a secc "ood" somorhsm α, :, ((x, y) (y, x)). It s ood because t s natural n the sense we just dened. There are two unctors rom Set 2 Set, F : (, ) G : (, ) and α s a natural transormaton rom F to G. In act t s a "natural somorhsm": Denton 3.6. I F, G : C D are unctors and α : F G s a natural transormaton, we say α s a natural somorhsm α x : F(x) G(x) s an somorhsm or all x C. Prooston 3.2. α : F G s a natural somorhsm t have and nverse α 1 : G F n D C. Proo: Key Idea:(α 1 ) x = (α x ) 1. Prooston 3.3. Suose C s a cateory wth bnary roduct :any ar o object have a roduct. Then we can choose, or any ar x, y C, a secc roduct:, q, and then there s a unctor : C 2 C, (, ). In act there are two unctors: = F : C 2 C, (, ) G : C 2 C, (, ) and ths are naturally somorhc. We say "roducts are commutatve u to natural somorhsm" Remark. lso roducts are assocatve u to natural somorhsms. α,,z : ( ) Z ( ) Z C 3 α,,z C (Just kee usn unversal roertes o roduct.) 26

27 Denton 3.7. cartesan cateory s a cateory wth bnary roducts and a termnal object. (I.e. t s a cateory where any nte set o objects have a roduct- a nte roduct cateory ) One can show that n a cartesan cateory we have natural somorhsms. l : 1. r : 1. ll ths work smlarly n a cat wth nte coroducts β, : + +. α,,z : ( + ) + Z + ( + Z). l : 0 +. r : + 0. In case C = FnSet (nte sets and unctons) ths ves laws o arthmetc: N s the somorhsm clases o objects n FnSet. nother examle: Examle 3.8. rou s a cateory G wth one object and all morhsms nvertble: 1= 3 2 What s a unctor F : G Set? 2 1= 3 x F F( 2) Z 3 F(1) F(x) F( ) G Set F cks out a set F(x) = and or each rou element t cks out a uncton F( ) : such that F( ) = F( )F( ) and F(1) = 1. So s a set acted by the rou G, or a G-set. So: a unctor F : G Set s a G-set. What s a natural transormaton between 2 such unctors?. 27

28 4 Mas etween Cateores 4.1 Natural Transormatons Examles o natural transormatons Examle 4.1. We saw that a 1-object cateory G wth all morhsms nvertble s a rou. We saw that a unctor F : G Set s a G-set: a set F( ) wth unctons F() : S S or all G such that F( ) = F() F( ) and F(1 ) = 1 F( ) Gven two unctors F, F : G Set, what s a natural transormaton α : F F? It s called a ma o ma o G-sets or G-equvarant ma, but let s draw one. F(1 ) 1 F F() F( ) F( ) ( ) α F ( ) F F () F ( ) F (1 ) It s a uncton α : F( ) F ( ) such that or all morhsms G, we have F () α = α F(). F( ) F ( ) F() α F( ) F ( ) Examle 4.2. Two sets are somorhc there are unctons F : and G : such that G F = 1 and F G = 1. Gven F, when can you nd such a G? I and only F s one-to-one and onto. 4.2 Equvalence o Cateores α F () Denton 4.1. n equvalence o cateores C and D conssts o: unctors F : C D and G : D C. natural somorhsms α : G F 1 C and β : F G 1 D. 28

29 We say that F and G are weak nverses. We say C and D are equvalent there exsts an equvalence between them. Theorem 4.1. unctor F : C D s art o an equvalence (F,G,α,β) and only F s athul, ull, and essentally surjectve. I such a G exsts, t may not be unque, but G was another one, t s naturally somorhc to G. 4.3 djunctons What are adjunctons? Recall an examle: U : Gr Set sendn each rou G to ts underlyn set U(G). F : Set Gr sendn each set S to the ree rou on t F(S). We say that U s the rht adjont o F, or synonymously, F s the let adjont o U. The basc dea s that morhsms rom the object F(S) to the object G n Gr are n 1-1 corresondence wth morhsms rom the object S to the object U(G) n Set. Gven a uncton : S U(G), we et a homomorhsm : F(S) G, the unque one such that (s) = (s) or all s S F(S). nd conversely, ven a homomorhsm h : F(S) G, we et h : S U(G) by restrctn h to S F(S). The usual cture looks lke ths: ncluson S F(S)! G We reer to say that there s a bjecton Hom Gr (F(S), G) = Hom Set (S, U(G)). Note that F s on the let o Hom Gr (F( ), ) and G s on the rht o Hom Set (, G( )). To dene adjont unctors, we need to say that ths knd o bjecton s natural. What unctors ve Hom Gr (F(S), G)? They must be two unctors rom Set Gr to Set. On objects, these do: What s the hom don here? (S, G) Hom Gr (F(S), G) (S, G) Hom Set (S, U(G)) Prooston 4.1. For any cateory, there s a unctor, called the hom unctor; Hom : C o C Set whch sends each object (, ) to the set Hom C (, ) Remark. Here, C o s the ooste o C: the cateory wth one morhsm o : or each : n C, and o o = ( ) o wth the same dentty morhsms. Proo. Sketch o roo: We need to dene Hom : C o C Set on morhsms. Gven a morhsm n C o C, ϕ : (, ) (, ). That s, a ar o morhsms: o : n C o and : n C. We need to dene a morhsm,.e. a uncton, Hom(ϕ) : Hom C (, ) Hom C (, ) n Set. 29

30 Gven h Hom C (, ), what s Hom(ϕ)(h) Hom C (, )? It s h. Thus, the hom unctor Hom : C o C Set wll not only descrbe hom sets, but also comoston n C. Then check t s really a unctor: For examle, check t reserves comoston. h h =Hom(ϕ)(h) Gven unctors F : C D and U : D C, how can we say that the somorhsm Hom D (F(), ) = Hom C (, U()) s natural? D o D Hom Set F o 1 D s α Hom C o D 1 C U C o C Examles o djunctons Let s at rst downlay the naturalty condton and look at examles ocusn on bjectons. Examle 4.3. The oretul unctor U : Gr Set sends each rou G to ts underlyn set U(G). The ree unctor F : Set Gr sends each set S to the ree rou on t F(S). Snce these two unctors orm an adjuncton between the cateores Gr and Set, we have bjectons or every G Gr and S Set: Hom Gr (F(S), G) = Hom Set (S, U(G)) These bjectons let us turn any uncton : S U(G) nto a homomorhsm = α 1 S,G ( ) : F(S) G. nd conversely; any homomorhsm h : F(S) G comes rom a uncton h = α S,G (h) : S U(G). Examle 4.4. Does the oretul unctor U : Vect k Set sendn each vector sace V over a eld K to ts underlyn set U(V) have a let adjont? es, or any set S, there s a vector sace F(S) whose bass s S, where the sums are ormal exressons: F(S) = { c s c K, only ntely many nonzero} s S 30

31 What does F : Set Vect k do to a morhsm : S T n Set? It should ve a lnear ma F( ) : F(S) F(T). What s t? It s: F( )( c s ) = c (s ) s S s S Check F s a unctor: That s, check that denttes F( ) = F() F( ) and F(1 S ) = 1 F(S) hold. Exercse 2. Why s the unctor F o the last examle, let adjont to U? Frst, or all V Vect K and Set, we need the ollown bjectons to hold (and check they re natural): Hom Vectk (F(S), V) = Hom Set (S, U(V)) Gven a uncton : S U(V), we need a lnear ma : F(S) V n some natural way. Try ( s S c s ) = s S c (s ). Conversely, ven a lnear ma l : F(S) V, we need a uncton l : S U(V). Try l(s) = l(s). Check these mas are nverses: ( ) = and ( l) = l, so that we have a bjecton: Hom Vectk (F(S), V) = Hom Set (S, U(V)) Examle 4.5. To dream u a let adjont o the oretul unctor U : To Set sendn each toolocal sace to ts underlyn set U(), we need to thnk o ways to turn a set S nto a toolocal sace. One way we can do ths s to ve ths set the dscrete tooloy, where you ve S as many oen sets as ossble, so every subset s oen. nother way we can do ths s to ve ths set the ndscrete tooloy, where you ve S as ew oen sets as ossble. The let adjont o U : To Set, say L : Set To, must have have the ollown bjectons or every To and S Set: Hom To (L(S), ) = Hom Set (S, U()) That s, contnuous mas : L(S) are the same as unctons : S U(). To make ths true, L(S) should have as many oen sets as ossble, so L(S) s S wth the dscrete tooloy. The rht adjont o U : To Set, say R : Set To, must have have the ollown bjectons or every To and S Set: Hom Set (U(), S) = Hom To (, R(S)) That s, contnuous mas h : R(S) are the same as unctons h : U() S. To make ths true, R(S) should have as ew oen sets as ossble, so R(S) s S wth the ndscrete tooloy Daonal Functor Suose C s any cateory. There s always a unctor : C C C called the daonal wth: () = (, ) or all objects C ( ) = (, ) : (, ) (, ) or all objects, C 31

32 Prooston 4.2. I C has bnary roducts, then the unctor : C C C s the rht adjont o : C C C. Remark. In act, the converse s true: has a rht adjont and only C has bnary roducts, and the rht adjont s. Proo. Sketch o roo: For starters, we need bjectons or all objects,, Z C: Hom C C ( (), (, Z)) = Hom C (, Z) snce a morhsm rom (, ) to (, Z) s a ar: :, : Z, or the let sde we have: Hom C C ( (), (, Z)) = Hom C C ((, ), (, Z)) = Hom C (, ) Hom C (, Z) So what we need to show s: Hom C (, ) Hom C (, Z) = Hom C (, Z) Indeed, the unversal roerty o the roduct says:!ψ Z q Z So (, ) ves ψ and conversely ψ ves = ψ and = q ψ, wo we have a bjecton: Hom C (, ) Hom C (, Z) = Hom C (, Z) (, ) ψ Prooston 4.3. I C has bnary coroducts, then the unctor + : C C C s the let adjont o : C C C. Remark. In act, the converse s true: has a let adjont and only C has bnary coroducts, and the let adjont s +. Proo. Sketch o roo: For starters, we need bjectons or all objects,, Z C: Hom C ( + Z), ) = Hom C C ((, Z), ()) snce a morhsm rom (, ) to (, Z) s a ar: :, : Z, or the rht sde we have: Hom C C ((, Z), ()) = Hom C C ((, Z), (, )) = Hom C (, ) Hom C (Z, ) 32

33 So what we need to show s: Hom C ( + Z, ) = Hom C (, ) Hom C (Z, ) Indeed, the unversal roerty o the coroduct says:!ψ + Z j Z So (, ) ves ψ and conversely ψ ves = ψ and = j ψ, wo we have a bjecton: Hom C ( + Z, ) = Hom C (, ) Hom C (Z, ) ψ (, ) roduct (an examle o a lmt) s an examle o a rht adjont - t s easy to descrbe morhsms on nto t. coroduct (an examle o a colmt) s an examle o a let adjont - t s easy to descrbe morhsms on out o t. 5 Darams n a Cateory as Functors Last tme, we saw that C has roducts, the unctor : C 2 C s a rht adjont to the daonal unctor : C C 2 c (c, c). Smlarly, the unctor + : C 2 C, C has coroducts, s a let adjont to. Thus, : Vect 2 k Vect k s both let and rht adjont to : Vect 2 F Vect F. In act, a cateory has lmts, these lmts ve a rht adjont to some unctor: lmts are rht adjonts colmts are let adjonts We oten thnk about the lmt o a daram n a cateory C. What s a daram n C, really? k c c c c Namely, t s a collecton o objects and morhsms between them. We can make t nto a subcateory o C: 33

34 k 1 c 1 c c c c c k 1 c 1 c We re oten nterested n darams o some shae, lke ullbacks: These shaes can be nterreted as cateores: Let D be any cateory: we ll take ths as our daram shae. What s a D-shaed daram n some cateory C? It s a unctor F : D C: F F( ) F( ) F( ) F( ) When we take the lmt o ths daram, we et an object lmf C (dened u to somorhsm). What s the rocess that takes us rom F : D C to lmf C? The key s that there s a cateory C D wth: objects ben unctors F : D C. G morhsms ben natural transormatons α. D α C These morhsms look lke: F 34

35 F( ) F( ) F F(x) F( ) x α x G( ) G( ) G G(x) G( ) When we take a lmt o F : C D, we study dones over F. Denton 5.1. cone over F s a natural transormaton α : G F where G sends every object o D to some object o C, and G sends every morhsm o D to the dentty morhsm o that object. F( ) F( ) F F(x) F( ) α x α x G( ) G( ) G G(x) G( ) Here, G : D C was determned by the object x va the above rece. It turns an object x C nto an object G C D. So ths rece should be a unctor D : C C D. C (x) s the daram: x x D (x) 1 x 1 x 1 x x x So a cone over F wth aex x C s a natural transormaton α : C (x) F. What s the lmt o a daram? I F C D, t s a unversal cone over that daram. 35

36 !ψ lmf x Remember U s the rht adjont o F : Hom D (F(x), y) = Hom C (x, U(y)) So adjont unctors are about convertn one knd o morhsms nto another n a bjectve way, and that s what we re don when we re statn the unversal roerty: morhsms ψ : q lmf n C. cones over F wth aex q,.e. natural transormatons α : D (q) F. (morhsms α rom D (q) to F n C D.) So: Hom C D( D (q), F) = Hom C (q, lmf) So t looks lke we have lm : C D C whch s rht adjont to D : C C D. Ths s true, you need to check that the bjecton above s natural to nsh the roo o: Theorem 5.1. I C has all lmts or D-shaed darams, then we have a unctor lm : C D C whch s rht adjont to D : C C D. Conversely, D : C C D has a rht adjont, then ths ves lmts o D-shaed darams n C. What choce o D ves the case o bnary roducts (a secal case o lmts)? D (C C ) C C C C α q G C C Here, D has two objects and only dentty morhsms, so we could call t 2, so C D = C 2 and : C 2 C s rht adjont to 2 = : C C 2. Smlarly, Theorem 5.2. I a cateory C has colmts o all D-shaed darams, there s a unctor colm : C D C whch s let adjont to D : C C D. Conversely, D : C C D has a let adjont, then ths ves lmts o D-shaed darams n C. Note: α Hom C D(F, D (q)) s a cocone: 36

37 q Theorem 5.3. Let adjonts reserve colmts; rht adjonts reserve lmts. Proo. Sketch o roo: Let s show that F : C D s a let adjont to U : D C, then F reserves colmts. For concreteness, let s show F reserves ushouts - eneral case s analoous. So suose we have a ushout n C: a b c Here, x s the aex o a cocone on the daram we re takn a colmt o, and the unversal roerty holds. The clam s that alyn F to ths unversal cocone ves a unversal cocone n D: x F(a) F(b) F(c) F(x)!ψ Q Choose a comettor cocone wth aex Q. We need to show!ψ : F(x) Q makn the newly ormed tranle commute. We can look at U(Q) : C: a b c x U(Q) 37

38 Snce F s let adjont to U, we have: Hom D (F(x), Q) = Hom C (x, U(Q)) So to et ψ : F(x) Q, let s nd ϕ : x U(Q). U(Q) becomes a comettor due to the adjontness o F and U, e.. Hom D (F(a), Q) = Hom C (a, U(Q)) For some reason, the tranles nvolvn U(Q) commute snce those nvolvn Q commute. So U(Q) s a comettor. Thus,!ϕ : x U(Q) makn the newly ormed tranles commute. a b c x!ϕ U(Q) Ths ves us ψ : F(x) Q, check t makes ts newly ormed tranle commute and s unque (snce ϕ s). Examle 5.1. F : Set Gr reserves colmts, e.. coroducts, so F(S + T) = F(S) + F(T). Here, S + T s the dsjont unon o S and T, F(S + T) s the ree rou wth elements o S + T as enerators, and F(S) + F(T) = F(S) F(T) s the ree roduct o F(S) and F(T). Examle 5.2. U : Gr Set reserves lmts, e.. roducts, so U(G H) = U(G) U(H) where G H s the usual roduct o rous G H. Theorem 5.4. The comoste o let adjonts s a let adjont. The comoste o rht adjonts s a rht adjont. F F Proo. Suose we have unctors C D E and F and F are let adjont o unctors U and U C D E U U. We ll show that F F : C E s the let adjont o U U : E C. We want a natural somorhsm: Here s how we et t: Hom E (F F(c)), e) = Hom C (c, U U (e)) Hom E (F F(c), e) = Hom D (F(c), U (e)) Snce F s let adjont to U Hom D (F(c), U (e)) = Hom C (c, U U (e)) Snce F s let adjont to U Examle 5.3. F F s let adjont to the oretul unctor U U rom Rn to Set. 38

39 Rn F U F F bgr U U F U Set Startn rom the emty set (the ntal set) we et F( ) = {0} (the trval abelan rou, whch s the ntal abelan rou) and then F (F( )) = Z (the rn o nteers, whch s the ntal rn). Startn rom a one-element set {x}, we et F({x}) = {..., x, 0, x, x + x,... } = Z and then F (F(x)) = Z[x], the rn o olynomals n x wth nteer coecents. 5.1 Unts and Counts o djunctons F Suose we have C D U and d D, we have: wth F let adjont to U. So that or all c C Hom D (F(c), d) = Hom C (c, U(d)) We can aly ths bjecton to an dentty morhsm and et somethn nterestn. We can do ths d = F(c). Hom D (F(c), F(c)) ϕ Hom C (c, U(F(c))) 1 F(c) ϕ(1 F(c) ) ϕ(1 F(c) ) s called the unt, ι c : ι c : c U(F(c)) We can also aly ϕ 1 to an dentty c = U(d). Hom D (F(U(d)), d) ϕ 1 Hom C (U(d), U(d))) ϕ 1 (1 F(c) ) 1 F(c) ϕ 1 (1 U(d) ) s called the count, ɛ d : ɛ d : F(U(d)) d 39

40 These ve varous amous morhsms. Examle 5.4. Gven any set S, we et a unt: F : Set Gr U : Gr Set ι S : S U(F(S)) Ths s the ncluson o the enerators : elements o S are enerators o F(S). Gven a rou G, we et a count: ɛ G : F(U(G)) G 1 ±1 2 ±1 n ±1 1 ±1 ±1 2 n ±1 ormal roduct n F(U(G)). actual roduct n G. The counts convert ormal exressons nto actual ones. 6 Cartesan Closed Cateores ny cateory has a set Hom(, ) o morhsms rom one object to another object, but n a cartesan closed cateory (or ccc) you also have an object o morhsms rom to. Examle 6.1. I C = Cat, Hom C (, ) s the set o unctors F :, whle s the cateory o unctors F : and natural transormatons between them. In eneral, you can et Hom C (, ) rom but not vce versa. We call Hom C (, ) the homset or external hom (t lves outsde o C, n Set), and the exonental or nternal hom (snce t lves nsde C). Internalzaton s the rocess o takn math that lves n Set and movn t nto some cateory C. Examle 6.2. In Set you can dene a rou to be an object G Set wth morhsms: m : G G G nv : G G : 1 G Multlcaton Inverses The dentty-assnn ma. It mas the one element o 1 to the dentty element n G. assocatve law: 40

41 G G let and rht unt laws: m 1 G m G G G G 1 G m m G G 1 G G G 1 (, ) (, ) 1 G m 1 G 1 G G G G G nverse laws: nv 1 G m G G G G G m! G G G G G m (1, ) 1 = = 1 (, 1) 1 G nv ll these darams make sense n any cartesan cateory (=cateory wth nte roducts = cateory wth bnary roducts and termnal object). So we can dene a rou nternal to C or rou n C usn these axoms whenever C s cartesan. For examle: I C = To, a rou n C s called a toolocal rou. I C = D, a rou n C s called a Le rou. I C s the cateory o alebrac varetes, a rou n C s called an alebrac rou. Puzzle: I C = Gr, a rou n C s a very amous thn. What s t? 6.1 Evaluaton and Coevaluaton n Cartesan Closed Cateores Recall a cartesan cateory C s a ccc or any C, the unctor C has a rht adjont: Hom C (, Z) = Hom C (, Z ) F ny adjuncton C D U has a unt and count: ι : UF ɛ : FU C D Now we have an adjuncton C C ι : ( ) 41

42 ɛ : C The second one s called evaluaton: n Set ɛ : (, y) (y) The rst one s called coevaluaton: n Set ι : ( ) x (x)(y) = (x, y) So we have analoous o these n any ccc Internalzn Comoston In any cateory, we have comoston: : Hom(, Z) Hom(, ) Hom(, Z) (, ) In a ccc, we can nternalze ths and dene nternal comoston : : Z Z Hom(Z, Z ) = Hom(Z, (Z ) () ) = Hom(Z, Z) So we et orm a morhsm: whch we ndeed have n any ccc: : Z Z Z 1 Z ɛ Z ɛ Z Ths s just an nternalzed way o sayn the old denton o comoston: ( )(x) = ((x)) Emly Rehl, Cateores n Context, Dover Pub. ree on the web. 42

43 6.2 Elements Sets have elements, but what about objects n other cateores? Elements o a set are n 1 1 corresondence wth unctons : 1, where 1 s a termnal object n Set (1 = a one element set). So: Denton 6.1. I C s a cateory wth a termnal object, an element o an object C s a morhsm 1. We dene the set elt() to be Hom(1, ). Examle 6.3. I C = To, elt() = {contnuous mas : { }, where { } s the one-ont sace,.e. the termnal object n To}. In act, elt() s n 1 1 corresondence wth the underlyn set o : Gven x, : { } where x, and conversely any such ( ). Examle 6.4. I C = Gr, elt(g) = {homomorhsms : 1 G, where 1 s the trval rou,.e. the termnal object n Gr}. So elt(g) has just one element: there s just one homomorhsm : 1 G, snce 1 s also ntal! Examle 6.5. I C = Cat, elt(d) = {unctors : 1 D, where 1 s the termnal cateory n Cat}. unctors : 1 D are n 1 1 corresondence wth the objects o D. So elt(d) = {objects n D} F 1 F( ) 1 F( ) Here, as n the revous examle, elt orets a lot o normaton: elt( ) = elt( ) 7 Week 9 Prooston 7.1. Suose C s a cateory wth termnal object 1 C. Then there s a unctor elt : C Set wth elt() = Hom(1, ), C and ven any morhsm : nc, elt() : elt() elt() s dened as ollows: elt() = 1 43

44 h Proo: elt reserve comoston: ven Z we need Gven elt() we have elt(h ) = elt(h) elt() 1 elt(h ) = (h ) = h ( ) = h (elt() ) = elt(h)(elt()( )) Smlarly elt(1 x ) = 1 x =, or all elt(). So elt(1 x ) = 1 elt(). Examle 7.1. elt : C Set may not be ahtull,.e we can have two derent morhsms, : n C wth elt() = elt( ). I C = Gr, we saw elt(g) = 1 Set or all G, so any homomorhsm h : G G wll be et sent to a uncton elt(h) : 1 1, but there s only one o these. Prooston 7.2. I C s a cartesan cateory elt : C Set reserve nte roducts. Proo: I easy to show elt reserve the termnal object: 1 C then elt(1) = { : 1 1} s one-element set, so t s termnal n Set. Why does elt reserve bnary roducts? Suose, C, then ther roduct s a unversal cone Z h q To show elt reserve roducts, we need ths cone s unversal n Set: Choose a comettor: elt() elt() elt( ) elt(q) elt() 44

45 Q ψ elt( ) q elt() elt() Want!φ : Q elt( ) makn the newly ormed tranles commute. : Q elt() sends any a Q to a ont (a) elt() = h : 1, so (a) : 1. Smlarly (a) : 1. We want to dene ψ : Q elt( ); ths wll send any a Q to ψ(a) : 1. y the unversal roerty o, or each a Q!ψ(a) : 1 so that ths commutes 1 (a)!ψ (a) q Dene ψ ths way, check that (*) commutes, and moreover (*) commutn orces us to choose ths ψ, so ψ s unque. What C s a ccc? then Snce 1 = so: hom(, ) = hom(1, ) = hom(1, ) = elt( ) 1 1 α ve us a bjecton α α 1 α 1 hom( ) = hom(1, ) α α 1 The moral: we can convert the hom-object C nto the hom-set hom(, ) Set by takn elements. 45

46 Gven : n hom(, ) we can convert t nto an element o called the name o : : 1. Conversely, any elemnet o s the name o a unque morhsm :. In unctonal rorammn, objects are data tyes, morhsms are rorams and any roram : have a name elt( ). 7.1 Subobjects Denton 7.1. In a cateory C s an equvalence class o monomorhsms :, where monos :, j : are equvalent there s an somorhsms : so that ths commutes: j Examle 7.2. I C = Set, subobjects o Set corresonds to subsets o. Gven a monomorhsm : we et a subset m(). ny subset S arse n ths way va the ncluson: : S s s ths has m() = S. Fnally, ven monos : and j : that dene the same subset m() = m(j), then there exsts a bjecton : so that j coomutes, namely = (j m(j) ) 1. e Examle 7.3. In Grah,how many subobjects does ths rah?: v w Here they are e 46

47 v v v v e w w w w v e e w e ny object ve a subobject o tsel:1 : s a monomorhsm. ( rah s a ar o unctons E V s t Prooston 7.3. In Set, subobjects o S Set are n 1-1 corresondence wth unctons : S 2 where 2 = {F, T}. Proo: Subobjects o S are just subsets S. ny such subset has a characterstc uncton : S 2 ven by { F s / χ(s) = T s Conversely, ven χ : S 2,let = χ 1 (T) = {s S : (s) = T} Rouhly, a "subobject classer" n a cateory C s an object Ω C that lays the role o 2 = {F, T}, n that subobjects o any subset S C are on to be n 1-1 corresondence wth morhsms χ : S Ω. Set has the "subobject classer" 2 = {F, T}. What does ths really means?. Frst,there s a uncton called true:t : 1 2 rom 1 = { } to 2 ven by t( ) = T 2. For any set there s a unque uncton! : 1 snce 1 s termnal. I clam that or any monomorhsm : (that s a 1-1 uncton), there exsts a unque uncton S : 2 called the characterstc uncton o, such that:! E 1 E 2 t 47

48 s a ullback. χ,n more amlar terms, wll be the characterstc uncton o the subset m(), but we call t the characterstc ucnton o the monomorhsm. Frst Let s show that ths χ : { T x m() χ (x) = F x / m() Let Q be a comettor Q!Q φ!q! 1 t χ 2 Then show!ψ : Q makn the newly ormed tranles commute. Snce Q s a comettor: χ ( (q)) = t(! Q (q)), q Q = t( ) = T (usn the denton o χ ) (q) m(). So snce s one-to-one, or each q Q,!a wth (q) = (a). So dene φ : Q by φ(q) = a. Ths makes = ß ψ and t s the unque φ : Q that does so (snce s one-to-one). The other newly ormed tranle automatcally commutes: Q φ!q χ 1 you can also check that χ : 2 s the unque morhsm rom to 2 that makes the square a ullback. So eneralzn: Denton 7.2. Gven a cateory C wth a termnal object, a subobject classer s an object Ω C wth a morhsm t : 1 Ω such that : or any monomorhsm : there exsts a unque χ : Ω such that ths square s a ullback:! 1 t Ω Denton 7.3. (elementary) toos s a cartesan closed cateory wth nte lmts (lmts o nte szed darams) and a subobject classer. 48

49 Grothendeck n the 1960 s ntroduced a concet o toos, now Grothendeck toos, whch s a secal case o alementary toos, as art o rovn the Wel hyothess n number theory. Later n the late 60 s and early 70 s Lawrence and Trerney smled the concet o toos to dene an "elementary toos". Examle 7.4. Examles o elementary toos 1. Set: cateory o sets and unctons. 2. FnSet: cateory o nte sets and unctons, ths doesn t have all lmts only nte lmts, so toos theory ncludes ntest mathematcs. 3. Set : cateory o sets and unctons as dened usn ZF=Zermelo-Fraenkel axoms wthout axom o choce. The axom o choce s aquvalent to: there exsts a monomorhsms : so that = 1.I ths true we say the emorhsm slts. In a eneral toos, not every emorhsms slts so the axom o choce need not hold. 4. Grahs: The cateory o rahs: E s t V 5. Prevous examle s ana secal case o a cateory Set C, where C s any cateory. These are called reshea cateores when we wrte them as Set Do (e.d = C o so D o = C) I C = 1x x y 1y then Set C = Grah x y α F F(x) αx G( ) F(y) αy G G(x) G(y) C G() Set unctor F : C Set s a rah wth E = F(x), V = F(y), s = F( ), t = F(). So a rah s an object n Set C. Smlarly, a morhsm n Set C s a morhsm between rahs. 49

50 6. nother examle o a reshea cateory s the cateory o smlcal sets: These are undamental to alebrac tooloy. 7. Preshea cateores are closely connected to cateores o sheaves, whch are also too. Sheaves are undamental to alebrac eometry. 8 Symmetrc Monodal Cateores 8.1 Guest lecture by Chrstna Osborne cateory theorst s sort o lke a socolost. He looks at mathematcal objects - he doesn t ry t oen and see how t works - but sees how t behaves n relaton to all other thns. - Chrs Heunen What s a Monodal Cateory? Denton 8.1. monod s a nonemty set G toether wth a bnary oeraton on G whch s: assocatve: (xy)z = x(yz) x, y, z G and contans a (two-sded) dentty element e G such that xe = ex = x x, y, z G Remark..e. take the denton o a rou and dro the requrement o nverses Denton 8.2. monodal cateory s a cateory C whch s equed wth: 1. tensor roduct unctor : C C C where the mae o a ar o objects (x, y) s denoted by x y. 2. unt object I. 3. For every x, y, z Ob(C), and assocatvty somorhsm a x,y,z : (x y) z x (y z), natural n the objects x, y, and z. 4. For every x Ob(C), a let unt somorhsm l x : I and a rht unt somorhsm r x : x I x, both natural n x. We urther assume the ollown darams commute or any objects w, x, y, and z: the entaon dentty: 50

51 ((w x) y) z a w,x,y d z a w x,y,z (w (x y)) z (w x) (y z) a w,x y,z a w,x,y z w ((x y) z) w (x (y z) the tranle dentty: d z a x,y,z a x,i,y (x I) y x (I y) r x d y d x l y x y Remark. When we want to emhasze the tensor roduct and unt, we denote a monodal cateory by (C,, I). Examle 8.1. (Set,, { }) Examle 8.2. (Set,, { }) Examle 8.3. (Gr,, {e}) Examle 8.4. (Hlb,, C), where the cateory Hlb has Hlbert saces as objects and short lnear mas (lnear mas o norm at most 1) as morhsms. Why s a x,y,z : (x y) z x (y z) an somorhsm and not an equalty? Let s consder the examle (Set,, { }) : ( ) Z = {(w, z) w, z Z} = {((x, y), z) x, y Z, z Z} ( Z) = {(x, w) x, w Z = {(x, (y, z)) x, y, z Z} These sets are not equal - but we can easly construct an somorhsm. Examle 8.5. How can we take a monod G and construct a monodal cateory? Frst we need a cateory C: objects: elements o G. 51

52 morhsms: dentty morhsms. We et a monodal cateory (C,, e) where s the bnary roduct o G and e s the dentty element o G. Note: In eneral: I C has roducts, we et a monodal cateory (C,, 1). I C has coroducts, we et a monodal cateory (C, +, 0). Denton 8.3. monodal cateory (C,, I) s symmetrc t addtonally s equed wth an somorhsm s x,y : x y y x or any objects x and y o C, natural n x and y, such that the ollown darams commute or all objects x, y, and z: s x,y d z (x y) z (y x) z a x,y,z a y,x,z x (y z) y (x z) s x,y z dy s x,z (y z) x y (z x) a y,z,x x I s x,i I x r x lx x x y s x,y y x d x y s y,x x y 52

53 Most o the examles o monodal cateores we have talked about are symmetrc. So what s an examle o a monodal cateory that s not symmetrc? Examle 8.6. Let R be a non-commutatve rn. The cateory R-R-bmodules wth R R as the tensor and R as the unt s an examle o a monodal cateory that s not symmetrc. Note: Let (C,, e) be the monodal cateory ven by the monod G. I G s an abelan rou, then (C,, e) s symmetrc Gon back to the denton o a symmetrc monodal cateory... Q: Why s the hexaon commutn daram sucent? There are 6 derent ways to order 3 elements. There are 2 ways o assocatn 3 elements. So there are 12 ossbltes (we would exect all o these to be somorhc). : reeat! (x y) z (y x) z x (y z) y (x z) (y z) x y (z x) a y,z,x (y z) x (z y) x y (z x) z (y x) (z x) y z (x y) 53

Model categories. Daniel Robert-Nicoud

Model categories. Daniel Robert-Nicoud Model categores Danel Robert-Ncoud Localzaton Motvatons or model categores arse rom varous elds o study, e.g. rng theory and homotoy theory, as we wll see. More recsely, what we want to do s to reverse

More information

Solutions for Tutorial 1

Solutions for Tutorial 1 Toc 1: Sem-drect roducts Solutons for Tutoral 1 1. Show that the tetrahedral grou s somorhc to the sem-drect roduct of the Klen four grou and a cyclc grou of order three: T = K 4 (Z/3Z). 2. Show further

More information

= s j Ui U j. i, j, then s F(U) with s Ui F(U) G(U) F(V ) G(V )

= s j Ui U j. i, j, then s F(U) with s Ui F(U) G(U) F(V ) G(V ) 1 Lecture 2 Recap Last tme we talked about presheaves and sheaves. Preshea: F on a topologcal space X, wth groups (resp. rngs, sets, etc.) F(U) or each open set U X, wth restrcton homs ρ UV : F(U) F(V

More information

Week 2. This week, we covered operations on sets and cardinality.

Week 2. This week, we covered operations on sets and cardinality. Week 2 Ths week, we covered operatons on sets and cardnalty. Defnton 0.1 (Correspondence). A correspondence between two sets A and B s a set S contaned n A B = {(a, b) a A, b B}. A correspondence from

More information

INTEGRAL p-adic HODGE THEORY, TALK 14 (COMPARISON WITH THE DE RHAMWITT COMPLEX)

INTEGRAL p-adic HODGE THEORY, TALK 14 (COMPARISON WITH THE DE RHAMWITT COMPLEX) INTEGRAL -ADIC HODGE THEORY, TALK 4 (COMPARISON WITH THE DE RHAMWITT COMPLEX) JOAQUIN RODRIGUES JACINTO (NOTES BY JAMES NEWTON). Recollectons and statement of theorem Let K be a erfectod eld of characterstc

More information

LECTURE 5: FIBRATIONS AND HOMOTOPY FIBERS

LECTURE 5: FIBRATIONS AND HOMOTOPY FIBERS LECTURE 5: FIBRATIONS AND HOMOTOPY FIBERS In ts lecture we wll ntroduce two mortant classes of mas of saces, namely te Hurewcz fbratons and te more general Serre fbratons, wc are bot obtaned by mosng certan

More information

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product 12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA Here s an outlne of what I dd: (1) categorcal defnton (2) constructon (3) lst of basc propertes (4) dstrbutve property (5) rght exactness (6) localzaton

More information

Algorithms for factoring

Algorithms for factoring CSA E0 235: Crytograhy Arl 9,2015 Instructor: Arta Patra Algorthms for factorng Submtted by: Jay Oza, Nranjan Sngh Introducton Factorsaton of large ntegers has been a wdely studed toc manly because of

More information

Math 101 Fall 2013 Homework #7 Due Friday, November 15, 2013

Math 101 Fall 2013 Homework #7 Due Friday, November 15, 2013 Math 101 Fall 2013 Homework #7 Due Frday, November 15, 2013 1. Let R be a untal subrng of E. Show that E R R s somorphc to E. ANS: The map (s,r) sr s a R-balanced map of E R to E. Hence there s a group

More information

DIFFERENTIAL SCHEMES

DIFFERENTIAL SCHEMES DIFFERENTIAL SCHEMES RAYMOND T. HOOBLER Dedcated to the memory o Jerry Kovacc 1. schemes All rngs contan Q and are commutatve. We x a d erental rng A throughout ths secton. 1.1. The topologcal space. Let

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

SMARANDACHE-GALOIS FIELDS

SMARANDACHE-GALOIS FIELDS SMARANDACHE-GALOIS FIELDS W. B. Vasantha Kandasamy Deartment of Mathematcs Indan Insttute of Technology, Madras Chenna - 600 036, Inda. E-mal: vasantak@md3.vsnl.net.n Abstract: In ths aer we study the

More information

2 More examples with details

2 More examples with details Physcs 129b Lecture 3 Caltech, 01/15/19 2 More examples wth detals 2.3 The permutaton group n = 4 S 4 contans 4! = 24 elements. One s the dentty e. Sx of them are exchange of two objects (, j) ( to j and

More information

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness.

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness. 20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The frst dea s connectedness. Essentally, we want to say that a space cannot be decomposed

More information

Pre-Talbot ANSS. Michael Andrews Department of Mathematics MIT. April 2, 2013

Pre-Talbot ANSS. Michael Andrews Department of Mathematics MIT. April 2, 2013 Pre-Talbot ANSS Mchael Andrews Deartment of Mathematcs MIT Arl 2, 203 The mage of J We have an unbased ma SO = colm n SO(n) colm n Ω n S n = QS 0 mang nto the -comonent of QS 0. The ma nduced by SO QS

More information

ON FIBRANT OBJECTS IN MODEL CATEGORIES

ON FIBRANT OBJECTS IN MODEL CATEGORIES Theory and Applcatons o Categores, ol. 33, No. 3, 2018, pp. 43 66. ON FIBRANT OBJECTS IN MODEL CATEGORIES ALERY ISAE Abstract. In ths paper, we study propertes o maps between brant objects n model categores.

More information

where a is any ideal of R. Lemma 5.4. Let R be a ring. Then X = Spec R is a topological space Moreover the open sets

where a is any ideal of R. Lemma 5.4. Let R be a ring. Then X = Spec R is a topological space Moreover the open sets 5. Schemes To defne schemes, just as wth algebrac varetes, the dea s to frst defne what an affne scheme s, and then realse an arbtrary scheme, as somethng whch s locally an affne scheme. The defnton of

More information

( ) 2 ( ) ( ) Problem Set 4 Suggested Solutions. Problem 1

( ) 2 ( ) ( ) Problem Set 4 Suggested Solutions. Problem 1 Problem Set 4 Suggested Solutons Problem (A) The market demand functon s the soluton to the followng utlty-maxmzaton roblem (UMP): The Lagrangean: ( x, x, x ) = + max U x, x, x x x x st.. x + x + x y x,

More information

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of

More information

Polynomials. 1 More properties of polynomials

Polynomials. 1 More properties of polynomials Polynomals 1 More propertes of polynomals Recall that, for R a commutatve rng wth unty (as wth all rngs n ths course unless otherwse noted), we defne R[x] to be the set of expressons n =0 a x, where a

More information

ALGEBRA HW 7 CLAY SHONKWILER

ALGEBRA HW 7 CLAY SHONKWILER ALGEBRA HW 7 CLAY SHONKWILER 1 Whch of the followng rngs R are dscrete valuaton rngs? For those that are, fnd the fracton feld K = frac R, the resdue feld k = R/m (where m) s the maxmal deal), and a unformzer

More information

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Analyss of Varance and Desgn of Exerments-I MODULE III LECTURE - 2 EXPERIMENTAL DESIGN MODELS Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 2 We consder the models

More information

Not-for-Publication Appendix to Optimal Asymptotic Least Aquares Estimation in a Singular Set-up

Not-for-Publication Appendix to Optimal Asymptotic Least Aquares Estimation in a Singular Set-up Not-for-Publcaton Aendx to Otmal Asymtotc Least Aquares Estmaton n a Sngular Set-u Antono Dez de los Ros Bank of Canada dezbankofcanada.ca December 214 A Proof of Proostons A.1 Proof of Prooston 1 Ts roof

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

Sites, Sheaves, and the Nisnevich topology

Sites, Sheaves, and the Nisnevich topology Stes, Sheaves, and the Nsnevch toology Bran Wllams Pretalbot 2014 1 Bundles and schemes The noton of a sheaf on a toologcal sace X s a famlar one. Gven a vector bundle E X one can consder, for each oen

More information

Some congruences related to harmonic numbers and the terms of the second order sequences

Some congruences related to harmonic numbers and the terms of the second order sequences Mathematca Moravca Vol. 0: 06, 3 37 Some congruences related to harmonc numbers the terms of the second order sequences Neşe Ömür Sbel Koaral Abstract. In ths aer, wth hels of some combnatoral denttes,

More information

An Introduction to Morita Theory

An Introduction to Morita Theory An Introducton to Morta Theory Matt Booth October 2015 Nov. 2017: made a few revsons. Thanks to Nng Shan for catchng a typo. My man reference for these notes was Chapter II of Bass s book Algebrac K-Theory

More information

where a is any ideal of R. Lemma Let R be a ring. Then X = Spec R is a topological space. Moreover the open sets

where a is any ideal of R. Lemma Let R be a ring. Then X = Spec R is a topological space. Moreover the open sets 11. Schemes To defne schemes, just as wth algebrac varetes, the dea s to frst defne what an affne scheme s, and then realse an arbtrary scheme, as somethng whch s locally an affne scheme. The defnton of

More information

Appendix B. Criterion of Riemann-Stieltjes Integrability

Appendix B. Criterion of Riemann-Stieltjes Integrability Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for

More information

Restricted Lie Algebras. Jared Warner

Restricted Lie Algebras. Jared Warner Restrcted Le Algebras Jared Warner 1. Defntons and Examples Defnton 1.1. Let k be a feld of characterstc p. A restrcted Le algebra (g, ( ) [p] ) s a Le algebra g over k and a map ( ) [p] : g g called

More information

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples

More information

ALGEBRA MID-TERM. 1 Suppose I is a principal ideal of the integral domain R. Prove that the R-module I R I has no non-zero torsion elements.

ALGEBRA MID-TERM. 1 Suppose I is a principal ideal of the integral domain R. Prove that the R-module I R I has no non-zero torsion elements. ALGEBRA MID-TERM CLAY SHONKWILER 1 Suppose I s a prncpal deal of the ntegral doman R. Prove that the R-module I R I has no non-zero torson elements. Proof. Note, frst, that f I R I has no non-zero torson

More information

arxiv: v2 [math.at] 12 May 2015

arxiv: v2 [math.at] 12 May 2015 THE ACCESSIBILITY RAN OF WEA EQUIVALENCES arxv:1403.3042v2 [math.at] 12 May 2015 G. RAPTIS AND J. ROSICÝ Abstract. We study the accessblty propertes o trval cobratons and weak equvalences n a combnatoral

More information

Lecture 7: Gluing prevarieties; products

Lecture 7: Gluing prevarieties; products Lecture 7: Glung prevaretes; products 1 The category of algebrac prevaretes Proposton 1. Let (f,ϕ) : (X,O X ) (Y,O Y ) be a morphsm of algebrac prevaretes. If U X and V Y are affne open subvaretes wth

More information

Solutions to Problem Set 6

Solutions to Problem Set 6 Solutons to Problem Set 6 Problem 6. (Resdue theory) a) Problem 4.7.7 Boas. n ths problem we wll solve ths ntegral: x sn x x + 4x + 5 dx: To solve ths usng the resdue theorem, we study ths complex ntegral:

More information

Topics in Geometry: Mirror Symmetry

Topics in Geometry: Mirror Symmetry MIT OpenCourseWare http://ocw.mt.edu 18.969 Topcs n Geometry: Mrror Symmetry Sprng 2009 For normaton about ctng these materals or our Terms o Use, vst: http://ocw.mt.edu/terms. MIRROR SYMMETRY: LECTURE

More information

Non-Ideality Through Fugacity and Activity

Non-Ideality Through Fugacity and Activity Non-Idealty Through Fugacty and Actvty S. Patel Deartment of Chemstry and Bochemstry, Unversty of Delaware, Newark, Delaware 19716, USA Corresondng author. E-mal: saatel@udel.edu 1 I. FUGACITY In ths dscusson,

More information

Regularity Properties of p-distance. Transformations in Image Analysis

Regularity Properties of p-distance. Transformations in Image Analysis Internatonal Journal o Contemorar Mathematcal Scences Vol 0, 05, no 3, 43-57 HIKARI Ltd, wwwm-harcom htt://ddoor/0988/cms055 Reulart Proertes o -Dstance Transormatons n Imae Analss Aboubar Baoum*, Nashat

More information

FE REVIEW OPERATIONAL AMPLIFIERS (OP-AMPS)

FE REVIEW OPERATIONAL AMPLIFIERS (OP-AMPS) FE EIEW OPEATIONAL AMPLIFIES (OPAMPS) 1 The Opamp An opamp has two nputs and one output. Note the opamp below. The termnal labeled wth the () sgn s the nvertng nput and the nput labeled wth the () sgn

More information

36.1 Why is it important to be able to find roots to systems of equations? Up to this point, we have discussed how to find the solution to

36.1 Why is it important to be able to find roots to systems of equations? Up to this point, we have discussed how to find the solution to ChE Lecture Notes - D. Keer, 5/9/98 Lecture 6,7,8 - Rootndng n systems o equatons (A) Theory (B) Problems (C) MATLAB Applcatons Tet: Supplementary notes rom Instructor 6. Why s t mportant to be able to

More information

A Brown representability theorem via coherent functors

A Brown representability theorem via coherent functors Topology 41 (2002) 853 861 www.elsever.com/locate/top A Brown representablty theorem va coherent functors Hennng Krause Fakultat fur Mathematk, Unverstat Belefeld, Postfach 100131, 33501 Belefeld, Germany

More information

where v means the change in velocity, and t is the

where v means the change in velocity, and t is the 1 PHYS:100 LECTURE 4 MECHANICS (3) Ths lecture covers the eneral case of moton wth constant acceleraton and free fall (whch s one of the more mportant examples of moton wth constant acceleraton) n a more

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

Math 205A Homework #2 Edward Burkard. Assume each composition with a projection is continuous. Let U Y Y be an open set.

Math 205A Homework #2 Edward Burkard. Assume each composition with a projection is continuous. Let U Y Y be an open set. Math 205A Homework #2 Edward Burkard Problem - Determne whether the topology T = fx;?; fcg ; fa; bg ; fa; b; cg ; fa; b; c; dgg s Hausdor. Choose the two ponts a; b 2 X. Snce there s no two dsjont open

More information

DISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization

DISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization DISCRIMINANTS AND RAMIFIED PRIMES KEITH CONRAD 1. Introducton A prme number p s sad to be ramfed n a number feld K f the prme deal factorzaton (1.1) (p) = po K = p e 1 1 peg g has some e greater than 1.

More information

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws Representaton theory and quantum mechancs tutoral Representaton theory and quantum conservaton laws Justn Campbell August 1, 2017 1 Generaltes on representaton theory 1.1 Let G GL m (R) be a real algebrac

More information

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Morphisms of Coloured Petri Nets

Morphisms of Coloured Petri Nets orphsms o Coloured Petr ets Joachm Wehler Ludwg-axmlans-Unverstät ünchen, Deutschland joachmwehler@gmxnet Classcaton: Structure and behavour o nets Abstract We ntroduce the concept o a morphsm between

More information

REAL ANALYSIS I HOMEWORK 1

REAL ANALYSIS I HOMEWORK 1 REAL ANALYSIS I HOMEWORK CİHAN BAHRAN The questons are from Tao s text. Exercse 0.0.. If (x α ) α A s a collecton of numbers x α [0, + ] such that x α

More information

Smarandache-Zero Divisors in Group Rings

Smarandache-Zero Divisors in Group Rings Smarandache-Zero Dvsors n Group Rngs W.B. Vasantha and Moon K. Chetry Department of Mathematcs I.I.T Madras, Chenna The study of zero-dvsors n group rngs had become nterestng problem snce 1940 wth the

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

International Journal of Mathematical Archive-4(12), 2013, Available online through ISSN

International Journal of Mathematical Archive-4(12), 2013, Available online through   ISSN Internatonal Journal o Mathematcal Archve-(2, 203, 7-52 Avlable onlne throuh www.jma.no ISSN 2229 506 ON VALUE SHARING OF MEROMORPHIC FUNCTIONS Dbyendu Banerjee* and Bswajt Mandal 2 Department o Mathematcs,

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

Problem Do any of the following determine homomorphisms from GL n (C) to GL n (C)?

Problem Do any of the following determine homomorphisms from GL n (C) to GL n (C)? Homework 8 solutons. Problem 16.1. Whch of the followng defne homomomorphsms from C\{0} to C\{0}? Answer. a) f 1 : z z Yes, f 1 s a homomorphsm. We have that z s the complex conjugate of z. If z 1,z 2

More information

POL VAN HOFTEN (NOTES BY JAMES NEWTON)

POL VAN HOFTEN (NOTES BY JAMES NEWTON) INTEGRAL P -ADIC HODGE THEORY, TALK 2 (PERFECTOID RINGS, A nf AND THE PRO-ÉTALE SITE) POL VAN HOFTEN (NOTES BY JAMES NEWTON) 1. Wtt vectors, A nf and ntegral perfectod rngs The frst part of the talk wll

More information

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Equazione del Calore Lezione ottobre 2014 CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g

More information

Complex Variables. Chapter 18 Integration in the Complex Plane. March 12, 2013 Lecturer: Shih-Yuan Chen

Complex Variables. Chapter 18 Integration in the Complex Plane. March 12, 2013 Lecturer: Shih-Yuan Chen omplex Varables hapter 8 Integraton n the omplex Plane March, Lecturer: Shh-Yuan hen Except where otherwse noted, content s lcensed under a BY-N-SA. TW Lcense. ontents ontour ntegrals auchy-goursat theorem

More information

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

More information

Solutions of exercise sheet 3

Solutions of exercise sheet 3 Topology D-MATH, FS 2013 Damen Calaque Solutons o exercse sheet 3 1. (a) Let U Ă Y be open. Snce s contnuous, 1 puq s open n X. Then p A q 1 puq 1 puq X A s open n the subspace topology on A. (b) I s contnuous,

More information

6. Hamilton s Equations

6. Hamilton s Equations 6. Hamlton s Equatons Mchael Fowler A Dynamcal System s Path n Confguraton Sace and n State Sace The story so far: For a mechancal system wth n degrees of freedom, the satal confguraton at some nstant

More information

( 1) i [ d i ]. The claim is that this defines a chain complex. The signs have been inserted into the definition to make this work out.

( 1) i [ d i ]. The claim is that this defines a chain complex. The signs have been inserted into the definition to make this work out. Mon, Apr. 2 We wsh to specfy a homomorphsm @ n : C n ()! C n (). Snce C n () s a free abelan group, the homomorphsm @ n s completely specfed by ts value on each generator, namely each n-smplex. There are

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

9 Characteristic classes

9 Characteristic classes THEODORE VORONOV DIFFERENTIAL GEOMETRY. Sprng 2009 [under constructon] 9 Characterstc classes 9.1 The frst Chern class of a lne bundle Consder a complex vector bundle E B of rank p. We shall construct

More information

(A1) and bˆ represents the expected price conditional on b. being one of the winning bids. Rewrite expression (A1) as follows:.

(A1) and bˆ represents the expected price conditional on b. being one of the winning bids. Rewrite expression (A1) as follows:. Aendx: Proo o Prooston : Bdder s (lnear) exected utlty rom dng s: S Q U (A) where Q reresents the roalty that she wns the aucton wth and reresents the exected rce condtonal on eng one o the wnnng ds Rewrte

More information

3 Holonomic D-Modules

3 Holonomic D-Modules 3 Holonomc D-Modules In ths chapter we study unctoral behavors o holonomc systems and show that any smple obect n the abelan category o holonomc D X -modules s a mnmal extenson o an ntegrable connecton

More information

Lecture 5 Decoding Binary BCH Codes

Lecture 5 Decoding Binary BCH Codes Lecture 5 Decodng Bnary BCH Codes In ths class, we wll ntroduce dfferent methods for decodng BCH codes 51 Decodng the [15, 7, 5] 2 -BCH Code Consder the [15, 7, 5] 2 -code C we ntroduced n the last lecture

More information

The Number Irreducible Constituents Permutation Representation of G

The Number Irreducible Constituents Permutation Representation of G Journal of Novel Aled Scences Avalable onlne at www.jnasc.or 2014 JNAS Journal-2014-3-8/915-923 ISSN 2322-5149 2014 JNAS The Number Irreducble Consttuents Permutaton Reresentaton of G B. Razzahmanesh eartment

More information

General theory of fuzzy connectedness segmentations: reconciliation of two tracks of FC theory

General theory of fuzzy connectedness segmentations: reconciliation of two tracks of FC theory General theory of fuzzy connectedness segmentatons: reconclaton of two tracks of FC theory Krzysztof Chrs Ceselsk Department of Mathematcs, West Vrgna Unversty and MIPG, Department of Radology, Unversty

More information

Statistics and Probability Theory in Civil, Surveying and Environmental Engineering

Statistics and Probability Theory in Civil, Surveying and Environmental Engineering Statstcs and Probablty Theory n Cvl, Surveyng and Envronmental Engneerng Pro. Dr. Mchael Havbro Faber ETH Zurch, Swtzerland Contents o Todays Lecture Overvew o Uncertanty Modelng Random Varables - propertes

More information

REDUCTION MODULO p. We will prove the reduction modulo p theorem in the general form as given by exercise 4.12, p. 143, of [1].

REDUCTION MODULO p. We will prove the reduction modulo p theorem in the general form as given by exercise 4.12, p. 143, of [1]. REDUCTION MODULO p. IAN KIMING We wll prove the reducton modulo p theorem n the general form as gven by exercse 4.12, p. 143, of [1]. We consder an ellptc curve E defned over Q and gven by a Weerstraß

More information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

ECEN 5005 Crystals, Nanocrystals and Device Applications Class 19 Group Theory For Crystals

ECEN 5005 Crystals, Nanocrystals and Device Applications Class 19 Group Theory For Crystals ECEN 5005 Crystals, Nanocrystals and Devce Applcatons Class 9 Group Theory For Crystals Dee Dagram Radatve Transton Probablty Wgner-Ecart Theorem Selecton Rule Dee Dagram Expermentally determned energy

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

Translational Equations of Motion for A Body Translational equations of motion (centroidal) for a body are m r = f.

Translational Equations of Motion for A Body Translational equations of motion (centroidal) for a body are m r = f. Lesson 12: Equatons o Moton Newton s Laws Frst Law: A artcle remans at rest or contnues to move n a straght lne wth constant seed there s no orce actng on t Second Law: The acceleraton o a artcle s roortonal

More information

Supplementary Material for Spectral Clustering based on the graph p-laplacian

Supplementary Material for Spectral Clustering based on the graph p-laplacian Sulementary Materal for Sectral Clusterng based on the grah -Lalacan Thomas Bühler and Matthas Hen Saarland Unversty, Saarbrücken, Germany {tb,hen}@csun-sbde May 009 Corrected verson, June 00 Abstract

More information

Quantum Mechanics I - Session 4

Quantum Mechanics I - Session 4 Quantum Mechancs I - Sesson 4 Aprl 3, 05 Contents Operators Change of Bass 4 3 Egenvectors and Egenvalues 5 3. Denton....................................... 5 3. Rotaton n D....................................

More information

Modelli Clamfim Equazioni differenziali 22 settembre 2016

Modelli Clamfim Equazioni differenziali 22 settembre 2016 CLAMFIM Bologna Modell 1 @ Clamfm Equazon dfferenzal 22 settembre 2016 professor Danele Rtell danele.rtell@unbo.t 1/22? Ordnary Dfferental Equatons A dfferental equaton s an equaton that defnes a relatonshp

More information

DECOUPLING THEORY HW2

DECOUPLING THEORY HW2 8.8 DECOUPLIG THEORY HW2 DOGHAO WAG DATE:OCT. 3 207 Problem We shall start by reformulatng the problem. Denote by δ S n the delta functon that s evenly dstrbuted at the n ) dmensonal unt sphere. As a temporal

More information

Lecture 3. Ax x i a i. i i

Lecture 3. Ax x i a i. i i 18.409 The Behavor of Algorthms n Practce 2/14/2 Lecturer: Dan Spelman Lecture 3 Scrbe: Arvnd Sankar 1 Largest sngular value In order to bound the condton number, we need an upper bound on the largest

More information

Math 261 Exercise sheet 2

Math 261 Exercise sheet 2 Math 261 Exercse sheet 2 http://staff.aub.edu.lb/~nm116/teachng/2017/math261/ndex.html Verson: September 25, 2017 Answers are due for Monday 25 September, 11AM. The use of calculators s allowed. Exercse

More information

Finite Difference Method

Finite Difference Method 7/0/07 Instructor r. Ramond Rump (9) 747 698 rcrump@utep.edu EE 337 Computatonal Electromagnetcs (CEM) Lecture #0 Fnte erence Method Lecture 0 These notes ma contan coprghted materal obtaned under ar use

More information

n-strongly Ding Projective, Injective and Flat Modules

n-strongly Ding Projective, Injective and Flat Modules Internatonal Mathematcal Forum, Vol. 7, 2012, no. 42, 2093-2098 n-strongly Dng Projectve, Injectve and Flat Modules Janmn Xng College o Mathematc and Physcs Qngdao Unversty o Scence and Technology Qngdao

More information

Module 2. Random Processes. Version 2 ECE IIT, Kharagpur

Module 2. Random Processes. Version 2 ECE IIT, Kharagpur Module Random Processes Lesson 6 Functons of Random Varables After readng ths lesson, ou wll learn about cdf of functon of a random varable. Formula for determnng the pdf of a random varable. Let, X be

More information

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

More information

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

More information

PARTIAL QUOTIENTS AND DISTRIBUTION OF SEQUENCES. Department of Mathematics University of California Riverside, CA

PARTIAL QUOTIENTS AND DISTRIBUTION OF SEQUENCES. Department of Mathematics University of California Riverside, CA PARTIAL QUOTIETS AD DISTRIBUTIO OF SEQUECES 1 Me-Chu Chang Deartment of Mathematcs Unversty of Calforna Rversde, CA 92521 mcc@math.ucr.edu Abstract. In ths aer we establsh average bounds on the artal quotents

More information

DEGREE.li. off. folg are called smoothlyhom.to if there is a smooth map. smoothness. f gilt. Lenin. of and fi TOPYKMODZ. flx Flx.

DEGREE.li. off. folg are called smoothlyhom.to if there is a smooth map. smoothness. f gilt. Lenin. of and fi TOPYKMODZ. flx Flx. XI TOPYKMODZ DEGREE.l Homotopy formalzes contnuous smooth deformatons of maps D Let f glt N be smooth maps between smooth manfolds folg are called smoothlyhom.to f there s a smooth map F Mx op NS.t.kxe

More information

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION talan journal of pure appled mathematcs n. 33 2014 (63 70) 63 SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION M.R. Farhangdoost Department of Mathematcs College of Scences Shraz Unversty Shraz, 71457-44776

More information

Lecture 4: Universal Hash Functions/Streaming Cont d

Lecture 4: Universal Hash Functions/Streaming Cont d CSE 5: Desgn and Analyss of Algorthms I Sprng 06 Lecture 4: Unversal Hash Functons/Streamng Cont d Lecturer: Shayan Oves Gharan Aprl 6th Scrbe: Jacob Schreber Dsclamer: These notes have not been subjected

More information

A Simple Research of Divisor Graphs

A Simple Research of Divisor Graphs The 29th Workshop on Combnatoral Mathematcs and Computaton Theory A Smple Research o Dvsor Graphs Yu-png Tsao General Educaton Center Chna Unversty o Technology Tape Tawan yp-tsao@cuteedutw Tape Tawan

More information

Math 2534 Final Exam Review Answer Key 1. Know deþnitions for the various terms: a. Modus Ponens b. Modus Tollens c. divides d. rational e.

Math 2534 Final Exam Review Answer Key 1. Know deþnitions for the various terms: a. Modus Ponens b. Modus Tollens c. divides d. rational e. Math 534 Fnal Exam Revew Answer Key 1. Know deþntons for the varous terms: a. Modus Ponens b. Modus Tollens c. dvdes d. ratonal e. Quotent-Remander Theorem f. unon g. ntersecton h. complement. DeMorgan

More information

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract Endogenous tmng n a mxed olgopoly consstng o a sngle publc rm and oregn compettors Yuanzhu Lu Chna Economcs and Management Academy, Central Unversty o Fnance and Economcs Abstract We nvestgate endogenous

More information

THERMODYNAMICS. Temperature

THERMODYNAMICS. Temperature HERMODYNMICS hermodynamcs s the henomenologcal scence whch descrbes the behavor of macroscoc objects n terms of a small number of macroscoc arameters. s an examle, to descrbe a gas n terms of volume ressure

More information

Errata to Invariant Theory with Applications January 28, 2017

Errata to Invariant Theory with Applications January 28, 2017 Invarant Theory wth Applcatons Jan Drasma and Don Gjswjt http: //www.wn.tue.nl/~jdrasma/teachng/nvtheory0910/lecturenotes12.pdf verson of 7 December 2009 Errata and addenda by Darj Grnberg The followng

More information

The Dirac Equation for a One-electron atom. In this section we will derive the Dirac equation for a one-electron atom.

The Dirac Equation for a One-electron atom. In this section we will derive the Dirac equation for a one-electron atom. The Drac Equaton for a One-electron atom In ths secton we wll derve the Drac equaton for a one-electron atom. Accordng to Ensten the energy of a artcle wth rest mass m movng wth a velocty V s gven by E

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

Week 5: Neural Networks

Week 5: Neural Networks Week 5: Neural Networks Instructor: Sergey Levne Neural Networks Summary In the prevous lecture, we saw how we can construct neural networks by extendng logstc regresson. Neural networks consst of multple

More information

A Note on \Modules, Comodules, and Cotensor Products over Frobenius Algebras"

A Note on \Modules, Comodules, and Cotensor Products over Frobenius Algebras Chn. Ann. Math. 27B(4), 2006, 419{424 DOI: 10.1007/s11401-005-0025-z Chnese Annals of Mathematcs, Seres B c The Edtoral Oce of CAM and Sprnger-Verlag Berln Hedelberg 2006 A Note on \Modules, Comodules,

More information