PROBLEM SET Problem 1.

Similar documents
Addition of angular momentum

Addition of angular momentum

Thus, because if either [G : H] or [H : K] is infinite, then [G : K] is infinite, then [G : K] = [G : H][H : K] for all infinite cases.

Section 11.6: Directional Derivatives and the Gradient Vector

The second condition says that a node α of the tree has exactly n children if the arity of its label is n.

cycle that does not cross any edges (including its own), then it has at least

First derivative analysis

First order differential equation Linear equation; Method of integrating factors

Mathematics 1110H Calculus I: Limits, derivatives, and Integrals Trent University, Summer 2018 Solutions to the Actual Final Examination

Figure 1: Closed surface, surface with boundary, or not a surface?

Week 3: Connected Subgraphs

Function Spaces. a x 3. (Letting x = 1 =)) a(0) + b + c (1) = 0. Row reducing the matrix. b 1. e 4 3. e 9. >: (x = 1 =)) a(0) + b + c (1) = 0

SCHUR S THEOREM REU SUMMER 2005

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

10. EXTENDING TRACTABILITY

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation.

(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming

Partial Derivatives: Suppose that z = f(x, y) is a function of two variables.

UNTYPED LAMBDA CALCULUS (II)

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

Einstein Equations for Tetrad Fields

Injective topological fibre spaces

Multiple Short Term Infusion Homework # 5 PHA 5127

Brief Introduction to Statistical Mechanics

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM

u r du = ur+1 r + 1 du = ln u + C u sin u du = cos u + C cos u du = sin u + C sec u tan u du = sec u + C e u du = e u + C

1 Isoparametric Concept

Higher order derivatives

The Matrix Exponential

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1

Analysis of Algorithms - Elementary graphs algorithms -

Abstract Interpretation: concrete and abstract semantics

Exercise 1. Sketch the graph of the following function. (x 2

The Matrix Exponential

Combinatorial Networks Week 1, March 11-12

LR(0) Analysis. LR(0) Analysis

Basic Polyhedral theory

Lie Groups HW7. Wang Shuai. November 2015

The Equitable Dominating Graph

64. A Conic Section from Five Elements.

CS 491 G Combinatorial Optimization

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

Pipe flow friction, small vs. big pipes

G. Gambosi (*), J. Ne~etgil (**), M. Talamo (*)

1 Minimum Cut Problem

A RELATIVISTIC LAGRANGIAN FOR MULTIPLE CHARGED POINT-MASSES

(1) Then we could wave our hands over this and it would become:

Analysis of Algorithms - Elementary graphs algorithms -

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields

CS 361 Meeting 12 10/3/18

As the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B.

What is a hereditary algebra?

Quasi-Classical States of the Simple Harmonic Oscillator

Self-Adjointness and Its Relationship to Quantum Mechanics. Ronald I. Frank 2016

Hydrogen Atom and One Electron Ions

CLONES IN 3-CONNECTED FRAME MATROIDS

ON RIGHT(LEFT) DUO PO-SEMIGROUPS. S. K. Lee and K. Y. Park

Note If the candidate believes that e x = 0 solves to x = 0 or gives an extra solution of x = 0, then withhold the final accuracy mark.

Thomas Whitham Sixth Form

Lecture 6.4: Galois groups

Examples and applications on SSSP and MST

Where k is either given or determined from the data and c is an arbitrary constant.

ECE602 Exam 1 April 5, You must show ALL of your work for full credit.

Deift/Zhou Steepest descent, Part I

ON THE NUMBER OF RATIONAL POINTS ON CURVES OVER FINITE FIELDS WITH MANY AUTOMORPHISMS

Computing and Communications -- Network Coding

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018

Chapter Finding Small Vertex Covers. Extending the Limits of Tractability. Coping With NP-Completeness. Vertex Cover

Problem Set 6 Solutions

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Sundials and Linear Algebra

That is, we start with a general matrix: And end with a simpler matrix:

3) Use the average steady-state equation to determine the dose. Note that only 100 mg tablets of aminophylline are available here.

EEO 401 Digital Signal Processing Prof. Mark Fowler

Y 0. Standing Wave Interference between the incident & reflected waves Standing wave. A string with one end fixed on a wall

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.

a 1and x is any real number.

Homogeneous Constant Matrix Systems, Part I

EEO 401 Digital Signal Processing Prof. Mark Fowler

3 Finite Element Parametric Geometry

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

Homework #3. 1 x. dx. It therefore follows that a sum of the

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Three Concepts: Probability Henry Tirri, Petri Myllymäki

REPRESENTATIONS OF LIE GROUPS AND LIE ALGEBRAS

6.1 Integration by Parts and Present Value. Copyright Cengage Learning. All rights reserved.

Alpha and beta decay equation practice

Math 34A. Final Review

Strongly Connected Components

The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function

INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS. xy 1 (mod p), (x, y) I (j)

Data Assimilation 1. Alan O Neill National Centre for Earth Observation UK

Schematic of a mixed flow reactor (both advection and dispersion must be accounted for)

Impedance Transformation and Parameter Relations

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1).

GROUP EXTENSION HOMOMORPHISM MATRICES. A. M. DuPre. Rutgers University. October 1, 1993

Transcription:

PROLEM SET 1 PROFESSOR PETER JOHNSTONE 1. Problm 1. 1.1. Th catgory Mat L. OK, I m not amiliar with th trminology o partially orr sts, so lt s go ovr that irst. Dinition 1.1. partial orr is a binary rlation ovr a st S which is rlxiv, antisymmtric, an transitiv. Dinition 1.2. For two lmnts a, b S o a partially orr st, th mt a b an th join a b o a an b ar rspctivly th gratst lowr an last uppr boun o a an b, whnvr ths things xist. Th way to rmmbr this notation is that th mt is th prouct, an th join is th coprouct, whn arrows go rom small to big lmnts. With that, w can proc to say that th irst part o th problm is wrong. Th suppos morphisms o Mat L o compos associativly (which I m too lazy to vriy, but it s a simpl calculation), but th ntity morphisms rquir th xistnc o lmnts m, M L such that m a M a L. For xampl, th ntity morphism 1 rquirs an lmnt M such that M a = a or all a, i.. a M or all a. I w o a that assumption, w r in, an th ntity morphism at n is an n n matrix with M on th iagonal an m vrywhr ls. Th a is that m srvs as th ntity or aition, an M as th ntity or multiplication. 1.2. Equivalnc to Rl. Hr th analogy is with boolan logic. First, som obsrvations about Rl : th ntity morphisms ar prcisly th minimal rlxiv rlations. W n to xhibit unctors F : Mat L Rl an G : Rl Mat L so that F G an GF ar naturally isomorphic to th ntity. Din F by n {1, 2,..., n} an { (i, j) ij = 1 }. Rcall that our law o composition or rlations is R S = { (a, c) b such that (a, b) R, (b, c) S } which in trms o boolan logic corrspons xactly to th ormula or matrix multiplication; so F is a unctor. In th othr irction, choos an orring o vry st in Rl, an in G by an, th matrix which is a tabl or accoring to th orrs chosn or om an co. gain, by th abov obsrvation, this is a unctor. y our orrly construction o F, w immiatly hav GF = MatL. On th othr han, F G ns som chang o coorinats to gt it to th ntity. This is th momnt to rmark that our choic o orring or vry S ob Rl rally amounts to quipping ach such S with a bijction S : S {1, 2,..., S } = F GS in catgory languag. Now it s clar that th maps { S S ob Rl } giv a natural transormation btwn F G an Rl. 1

2 PROFESSOR PETER JOHNSTONE 2. Problm 2. concrt xampl to think o whn aling with mpotnts is projction to a subspac,.g. orthogonal projction in vctor spacs, or som sort o rtraction in topological spacs. concis way to nco an mpotnt is to say that th iagram commuts. concis way to nco a split mpotnt is th commutativ iagram g (i) To think o that thing, w can imagin w v pick a bunch o projctions, an our nw catgory has objcts thr projctions an morphisms maps that prsrv th projctions, i.. maps that ar ssntially in by thir valus on th subspacs onto which w r projcting. Ik what I m rambling about. nyway, lt s vriy th axioms. morphism is a commutativ iagram In, th non-trivial part o that statmnt is =, which ollows by = = = an similarly =. Thn i w hav commutativ iagrams g h C w can stick thm togthr into a nw commutativ iagram, rom which it ollows that hg = hg. Now, or th ntity morphism o :, intuitivly won t work bcaus it has nothing to o with (it osn t know about it). n in you can chck it osn t; what os is, naturally,, an by gnral nonsns, i ntitis xist, thy ar uniqu. (ii) W in I in th obvious way by, ( ) This is clarly a unctor, sinc = or all. It is obviously aithul, an morovr givn any morphism I I in C[Ě], it coms rom th corrsponing morphism in C.

PROLEM SET 1 3 What os it man or a unctor T : C D to actor through I? It mans thr xists a unctor T : C[Ě] D such that T = T I. In particular, w hav a commutativ iagram in C[Ě] which gos to a commutativ iagram unr T : T T T g which tlls us that g = T, an morovr on asily chcks g is th ntity bcaus it s th imag o an ntity morphism. From this on asily ss that i T actors thn vry T is split; an vic vrsa, i vry T is split, w can in th actorization T in th obvious way. Th only thing that s not immiat is whr th morphisms o I go unr T ; to gt this, obsrv that vry morphism in I coms rom som morphism in C. W can in th imag o by pulling back to T T T an gluing togthr th maps rom th splitting o an, an this works (haaa i m lazy). (iii) Obsrv that i : (, ) (, ) is an mpotnt in C[Ě], thn is an mpotnt in C. Thn w hav th obvious splitting bcaus = =, = = rom th act that =. Hnc C[Ě] is Cauchycomplt.

4 PROFESSOR PETER JOHNSTONE (iv) Suppos (, 1 om ) has an qualizr, as in E Thn w can ool aroun with it..g. obsrv that thr s a uniqu h such that th ollowing commuts: h E Now clarly h =, an morovr, sinc h = =, th map h its as th unlabl arrow in E E but so os E an th map is uniqu, thus h = E. Convrsly, i splits via : X, g : X, it s asy to s that g : X is an qualizr, an th map to X givn a h : is h; vrything works, blalala. Uniqunss ollows asily by th usual shnanigans with arrows. W can play aroun mor an obsrv that w gt a coqualizr rom E: just tak h : E. In, w hav h = hh = h, an by analogous shnanigans w gt uniqunss, tc. Th othr way works similarly. 3. Problm 3. (i) W n to show that or any innr automorphism I an automorphism F, F IF 1 is also innr. Suppos I is isomorphic to via isomorphisms α : I. W claim that th maps F α F 1 : F IF 1 giv that isomorphism. In, ths maps ar isomorphisms, bcaus unctors prsrv isomorphisms, an morovr w hav th commutativ squar F α F 1 F α F 1 F IF 1 F IF 1 F IF 1 bcaus F IF 1 F α F 1 = F (IF 1 α F 1 ) = F (α F 1 F 1 ) = F α F 1 F F 1 = F α F 1.

PROLEM SET 1 5 Howvr, thr s a bttr way to s that. Just writ th naturality squar or th morphism F 1 : F 1 F 1 : F 1 F 1 F 1 (ii) α F 1 IF 1 IF 1 IF 1 α F 1 an tak its imag unr F. ut thr shoul b a way to mak it vn mor obvious... 4. Exampls class 4.1. Problm 1. la i a la i a la la laa la laaa la la la la. lalala. laaaaa La la la la laa. lalalalaaaaa lala laalala Rgar xistnc o maximal an minimal lmnts in a lattic as part o th inition. 4.2. Problm 2. (i) Notic th quation = is quivalnt to two quations, = =. This shows composition is wll-in. Th ntity o is. (ii) I all ntitis ar in E, in I by I = 1, I( ) = : 1 1. Clarly ull an aithul. For : in E, I() splits as 1 1. ut any actor prsrvs split mpotnts, so i T = T I thn T maps mmbrs o E to split mpotnts. Convrsly, suppos T () splits as T g T T, or all E. Wlog assum th splitting o T ( ) is T 1 T T 1 T T. Thn w v in T on objcts, so that T I = T or all. Givn h : in C[Ě], in T () as th composition g T h. Thn composition works, an in act, vrything works splnly. (iii) lalala (iv) Impotnt splitting is a sl-ual notion, so it s nough to vriy only or qualizrs or coqualizrs. uy on, gt on r!!! lalala I D has qualizrs, consr th unctor ( T T I) : [Ĉ, D] [C, D]. It s ssntially surjctiv on objcts; n to show it s ull an aithul. Th valus o a natural transormation on an objct uniquly trmin th valus o it on any rtract o (an mpotnts ar rtracts), sinc F α G F g F α E F E GE Gg 4.3. Problm 3. (i) lalala. I H is any automorphism, Hα H 1 ntity. is a natural transormation rom HF H 1 to th

6 PROFESSOR PETER JOHNSTONE (ii) Evry automorphism F is part o an quivalnc o catgoris, so it will b ull an aithul, so i 1 is trminal, thr s a uniqu morphism F F 1 or any. Sinc it s also surjctiv on objcts, lalala. (iii) St(1, ) is isomorphic to 1 St. F 1 is a singlton, so thr s a uniqu α : 1 St = St(1, ) F. For any st an any a, can rgar a as a map a : 1 ; thn 1 α 1 F 1 a F a commuts. ut F is ull an aithul, so α is bijctiv, so isomorphism, so α is a natural isomorphism. (iv) 1 rprsnts th orgtul unctor Top U St. an 1 is a singlton, so thr s a uniqu natural isomorphism α : U UF. Not that or any X, 1 X an all constant maps ar nomorphisms in Top, so i X has 3 points, it has 4 nomorphisms. blalala, on chcks irctly or all spacs on 2 points. Hnc F (S) = S. What os α S o? Eithr it s a homomorphism or it s not, i.. th map that intrchangs th opn an clos points. ut, or any X, continuous maps X S ar charactristic unctions o opn sts, an by naturality again, X F S α α X F X F F S commuts or any such. Eithr, α X is a homomorphism, or it sns opn substs o X bijctivly to clos substs o F X. Prov thr s an X whos clos sts on t orm a topology in our catgory, th scon cas is rul out, so α must b a natural isomorphism 1 Top F. In bgp, Z rprsnts U : bgp St α S