Infinite Loop Space Theory
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The Adams-Novikov Spectral Sequence for the Spheres
BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY Volume 77, Number 1, January 1971 THE ADAMS-NOVIKOV SPECTRAL SEQUENCE FOR THE SPHERES BY RAPHAEL ZAHLER1 Communicated by P. E. Thomas, June 17, 1970 The Adams spectral sequence has been an important tool in re search on the stable homotopy of the spheres. In this note we outline new information about a variant of the Adams sequence which was introduced by Novikov [7]. We develop simplified techniques of computation which allow us to discover vanishing lines and periodic ity near the edge of the E2-term, interesting elements in E^'*, and a counterexample to one of Novikov's conjectures. In this way we obtain independently the values of many low-dimensional stems up to group extension. The new methods stem from a deeper under standing of the Brown-Peterson cohomology theory, due largely to Quillen [8]; see also [4]. Details will appear elsewhere; or see [ll]. When p is odd, the p-primary part of the Novikov sequence be haves nicely in comparison with the ordinary Adams sequence. Com puting the £2-term seems to be as easy, and the Novikov sequence has many fewer nonzero differentials (in stems ^45, at least, if p = 3), and periodicity near the edge. The case p = 2 is sharply different. Computing E2 is more difficult. There are also hordes of nonzero dif ferentials dz, but they form a regular pattern, and no nonzero differ entials outside the pattern have been found. Thus the diagram of £4 ( =£oo in dimensions ^17) suggests a vanishing line for Ew much lower than that of £2 of the classical Adams spectral sequence [3]. -
HE WANG Abstract. a Mini-Course on Rational Homotopy Theory
RATIONAL HOMOTOPY THEORY HE WANG Abstract. A mini-course on rational homotopy theory. Contents 1. Introduction 2 2. Elementary homotopy theory 3 3. Spectral sequences 8 4. Postnikov towers and rational homotopy theory 16 5. Commutative differential graded algebras 21 6. Minimal models 25 7. Fundamental groups 34 References 36 2010 Mathematics Subject Classification. Primary 55P62 . 1 2 HE WANG 1. Introduction One of the goals of topology is to classify the topological spaces up to some equiva- lence relations, e.g., homeomorphic equivalence and homotopy equivalence (for algebraic topology). In algebraic topology, most of the time we will restrict to spaces which are homotopy equivalent to CW complexes. We have learned several algebraic invariants such as fundamental groups, homology groups, cohomology groups and cohomology rings. Using these algebraic invariants, we can seperate two non-homotopy equivalent spaces. Another powerful algebraic invariants are the higher homotopy groups. Whitehead the- orem shows that the functor of homotopy theory are power enough to determine when two CW complex are homotopy equivalent. A rational coefficient version of the homotopy theory has its own techniques and advan- tages: 1. fruitful algebraic structures. 2. easy to calculate. RATIONAL HOMOTOPY THEORY 3 2. Elementary homotopy theory 2.1. Higher homotopy groups. Let X be a connected CW-complex with a base point x0. Recall that the fundamental group π1(X; x0) = [(I;@I); (X; x0)] is the set of homotopy classes of maps from pair (I;@I) to (X; x0) with the product defined by composition of paths. Similarly, for each n ≥ 2, the higher homotopy group n n πn(X; x0) = [(I ;@I ); (X; x0)] n n is the set of homotopy classes of maps from pair (I ;@I ) to (X; x0) with the product defined by composition. -
While Statement in C
While Statement In C EnricoIs Reg alwaysdisheartening deplete or his novel aspects when chagrined luminesced disputatiously, some crayfishes he orbits clump so temporizingly? grindingly. Solid Ring-necked and comose Bennet Brendan tarnishes never tensehalf-and-half his Stuttgart! while Thank you use a counter is a while loop obscures the condition which is evaluated to embed videos in while c program C while loops statement allows to repeatedly run at same recipient of code until a wrap is met while loop is empty most basic loop in C programming while loop. We then hand this variable c in the statement block and represent your value for each. While adultery in C Set of instructions given coil the compiler to night set of statements until condition becomes false is called loops. If it is negative number added to the condition in c language including but in looping structures, but is executed infinite loop! While Loop Definition Example & Results Video & Lesson. While talking in C Know Program. What is the while eternal in C? A while loop around loop continuously and infinitely until the policy inside the parenthesis becomes false money must guard the. C while and dowhile Loop Programiz. Programming While Loop. The widow while redeem in the C language is basically a post tested loop upon the execution of several parts of the statements can be repeated by reckless use children do-while. 43 Loops Applications in C for Engineering Technology. Do it Loop in C Programming with Examples Phptpoint. Statements and display control C Tutorials Cpluspluscom. Do while just in c example program. -
Directed Algebraic Topology and Applications
Directed algebraic topology and applications Martin Raussen Department of Mathematical Sciences, Aalborg University, Denmark Discrete Structures in Algebra, Geometry, Topology and Computer Science 6ECM July 3, 2012 Martin Raussen Directed algebraic topology and applications Algebraic Topology Homotopy Homotopy: 1-parameter deformation Two continuous functions f , g : X ! Y from a topological space X to another, Y are called homotopic if one can be "continuously deformed" into the other. Such a deformation is called a homotopy H : X × I ! Y between the two functions. Two spaces X, Y are called homotopy equivalent if there are continous maps f : X ! Y and g : Y ! X that are homotopy inverse to each other, i.e., such that g ◦ f ' idX and f ◦ g ' idY . Martin Raussen Directed algebraic topology and applications Algebraic Topology Invariants Algebraic topology is the branch of mathematics which uses tools from abstract algebra to study topological spaces. The basic goal is to find algebraic invariants that classify topological spaces up to homeomorphism, though usually most classify (at best) up to homotopy equivalence. An outstanding use of homotopy is the definition of homotopy groups pn(X, ∗), n > 0 – important invariants in algebraic topology. Examples Spheres of different dimensions are not homotopy equivalent to each other. Euclidean spaces of different dimensions are not homeomorphic to each other. Martin Raussen Directed algebraic topology and applications Path spaces, loop spaces and homotopy groups Definition Path space P(X )(x0, x1): the space of all continuous paths p : I ! X starting at x0 and ending at x1 (CO-topology). Loop space W(X )(x0): the space of all all continuous loops 1 w : S ! X starting and ending at x0. -
[DRAFT] a Peripatetic Course in Algebraic Topology
[DRAFT] A Peripatetic Course in Algebraic Topology Julian Salazar [email protected]• http://slzr.me July 22, 2016 Abstract These notes are based on lectures in algebraic topology taught by Peter May and Henry Chan at the 2016 University of Chicago Math REU. They are loosely chrono- logical, having been reorganized for my benefit and significantly annotated by my personal exposition, plus solutions to in-class/HW exercises, plus content from read- ings (from May’s Finite Book), books (e.g. May’s Concise Course, Munkres’ Elements of Algebraic Topology, and Hatcher’s Algebraic Topology), Wikipedia, etc. I Foundations + Weeks 1 to 33 1 Topological notions3 1.1 Topological spaces.................................3 1.2 Separation properties...............................4 1.3 Continuity and operations on spaces......................4 2 Algebraic notions5 2.1 Rings and modules................................6 2.2 Tensor products..................................7 3 Categorical notions 11 3.1 Categories..................................... 11 3.2 Functors...................................... 13 3.3 Natural transformations............................. 15 3.4 [DRAFT] Universal properties.......................... 17 3.5 Adjoint functors.................................. 20 1 4 The fundamental group 21 4.1 Connectedness and paths............................. 21 4.2 Homotopy and homotopy equivalence..................... 22 4.3 The fundamental group.............................. 24 4.4 Applications.................................... 26 -
Detecting and Escaping Infinite Loops Using Bolt
Detecting and Escaping Infinite Loops Using Bolt by Michael Kling Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Masters of Engineering in Electical Engineering and Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY February 2012 c Massachusetts Institute of Technology 2012. All rights reserved. Author.............................................................. Department of Electrical Engineering and Computer Science February 1, 2012 Certified by. Martin Rinard Professor Thesis Supervisor Accepted by . Prof. Dennis M. Freeman Chairman, Masters of Engineering Thesis Committee 2 Detecting and Escaping Infinite Loops Using Bolt by Michael Kling Submitted to the Department of Electrical Engineering and Computer Science on February 1, 2012, in partial fulfillment of the requirements for the degree of Masters of Engineering in Electical Engineering and Computer Science Abstract In this thesis we present Bolt, a novel system for escaping infinite loops. If a user suspects that an executing program is stuck in an infinite loop, the user can use the Bolt user interface, which attaches to the running process and determines if the program is executing in an infinite loop. If that is the case, the user can direct the interface to automatically explore multiple strategies to escape the infinite loop, restore the responsiveness of the program, and recover useful output. Bolt operates on stripped x86 and x64 binaries, analyzes both single-thread and multi-threaded programs, dynamically attaches to the program as-needed, dynami- cally detects the loops in a program and creates program state checkpoints to enable exploration of different escape strategies. This makes it possible for Bolt to detect and escape infinite loops in off-the-shelf software, without available source code, or overhead in standard production use. -
CS 161, Lecture 8: Error Handling and Functions – 29 January 2018 Revisit Error Handling
CS 161, Lecture 8: Error Handling and Functions – 29 January 2018 Revisit Error Handling • Prevent our program from crashing • Reasons programs will crash or have issues: • Syntax Error – prevents compilation, the programmer caused this by mistyping or breaking language rules • Logic Errors – the code does not perform as expected because the underlying logic is incorrect such as off by one, iterating in the wrong direction, having conditions which will never end or be met, etc. • Runtime Errors – program stops running due to segmentation fault or infinite loop potentially caused by trying to access memory that is not allocated, bad user input that was not handled, etc. check_length • The end of a string is determined by the invisible null character ‘\0’ • while the character in the string is not null, keep counting Assignment 3 Notes • Allowed functions: • From <string>: .length(), getline(), [], += • From <cmath>: pow() • Typecasting allowed only if the character being converted fits the stated criterion (i.e. character was confirmed as an int, letter, etc.) • ASCII Chart should be used heavily http://www.asciitable.com/ Debugging Side Bar • Read compiler messages when you have a syntax error • If you suspect a logic error -> print everything! • Allows you to track the values stored in your variables, especially in loops and changing scopes • Gives you a sense of what is executing when in your program Decomposition • Divide problem into subtasks • Procedural Decomposition: get ready in the morning, cooking, etc. • Incremental Programming: -
Loop Spaces in Motivic Homotopy Theory A
LOOP SPACES IN MOTIVIC HOMOTOPY THEORY A Dissertation by MARVIN GLEN DECKER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2006 Major Subject: Mathematics LOOP SPACES IN MOTIVIC HOMOTOPY THEORY A Dissertation by MARVIN GLEN DECKER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, Paulo Lima-Filho Committee Members, Nancy Amato Henry Schenck Peter Stiller Head of Department, Al Boggess August 2006 Major Subject: Mathematics iii ABSTRACT Loop Spaces in Motivic Homotopy Theory. (August 2006) Marvin Glen Decker, B.S., University of Kansas Chair of Advisory Committee: Dr. Paulo Lima-Filho In topology loop spaces can be understood combinatorially using algebraic the- ories. This approach can be extended to work for certain model structures on cate- gories of presheaves over a site with functorial unit interval objects, such as topological spaces and simplicial sheaves of smooth schemes at finite type. For such model cat- egories a new category of algebraic theories with a proper cellular simplicial model structure can be defined. This model structure can be localized in a way compatible with left Bousfield localizations of the underlying category of presheaves to yield a Motivic model structure for algebraic theories. As in the topological context, the model structure is Quillen equivalent to a category of loop spaces in the underlying category. iv TABLE OF CONTENTS CHAPTER Page I INTRODUCTION .......................... 1 II THE BOUSFIELD-KAN MODEL STRUCTURE ....... -
Lecture 2: Spaces of Maps, Loop Spaces and Reduced Suspension
LECTURE 2: SPACES OF MAPS, LOOP SPACES AND REDUCED SUSPENSION In this section we will give the important constructions of loop spaces and reduced suspensions associated to pointed spaces. For this purpose there will be a short digression on spaces of maps between (pointed) spaces and the relevant topologies. To be a bit more specific, one aim is to see that given a pointed space (X; x0), then there is an entire pointed space of loops in X. In order to obtain such a loop space Ω(X; x0) 2 Top∗; we have to specify an underlying set, choose a base point, and construct a topology on it. The underlying set of Ω(X; x0) is just given by the set of maps 1 Top∗((S ; ∗); (X; x0)): A base point is also easily found by considering the constant loop κx0 at x0 defined by: 1 κx0 :(S ; ∗) ! (X; x0): t 7! x0 The topology which we will consider on this set is a special case of the so-called compact-open topology. We begin by introducing this topology in a more general context. 1. Function spaces Let K be a compact Hausdorff space, and let X be an arbitrary space. The set Top(K; X) of continuous maps K ! X carries a natural topology, called the compact-open topology. It has a subbasis formed by the sets of the form B(T;U) = ff : K ! X j f(T ) ⊆ Ug where T ⊆ K is compact and U ⊆ X is open. Thus, for a map f : K ! X, one can form a typical basis open neighborhood by choosing compact subsets T1;:::;Tn ⊆ K and small open sets Ui ⊆ X with f(Ti) ⊆ Ui to get a neighborhood Of of f, Of = B(T1;U1) \ ::: \ B(Tn;Un): One can even choose the Ti to cover K, so as to `control' the behavior of functions g 2 Of on all of K. -
Automatic Repair of Infinite Loops
Automatic Repair of Infinite Loops Sebastian R. Lamelas Marcote Martin Monperrus University of Buenos Aires University of Lille & INRIA Argentina France Abstract Research on automatic software repair is concerned with the develop- ment of systems that automatically detect and repair bugs. One well-known class of bugs is the infinite loop. Every computer programmer or user has, at least once, experienced this type of bug. We state the problem of repairing infinite loops in the context of test-suite based software repair: given a test suite with at least one failing test, generate a patch that makes all test cases pass. Consequently, repairing infinites loop means having at least one test case that hangs by triggering the infinite loop. Our system to automatically repair infinite loops is called Infinitel. We develop a technique to manip- ulate loops so that one can dynamically analyze the number of iterations of loops; decide to interrupt the loop execution; and dynamically examine the state of the loop on a per-iteration basis. Then, in order to synthesize a new loop condition, we encode this set of program states as a code synthesis problem using a technique based on Satisfiability Modulo Theory (SMT). We evaluate our technique on seven seeded-bugs and on seven real-bugs. Infinitel is able to repair all of them, within seconds up to one hour on a standard laptop configuration. 1 Introduction Research on automatic software repair is concerned with the development of sys- tems that automatically detect and repair bugs. We consider as bug a behavior arXiv:1504.05078v1 [cs.SE] 20 Apr 2015 observed during program execution that does not correspond to the expected one. -
Chapter 6 Flow of Control
Chapter 6 Flow of Control 6.1 INTRODUCTION “Don't you hate code that's In Figure 6.1, we see a bus carrying the children to not properly indented? school. There is only one way to reach the school. The Making it [indenting] part of driver has no choice, but to follow the road one milestone the syntax guarantees that all after another to reach the school. We learnt in Chapter code is properly indented.” 5 that this is the concept of sequence, where Python executes one statement after another from beginning to – G. van Rossum the end of the program. These are the kind of programs we have been writing till now. In this chapter Figure 6.1: Bus carrying students to school » Introduction to Flow of Control Let us consider a program 6-1 that executes in » Selection sequence, that is, statements are executed in an order in which they are written. » Indentation The order of execution of the statements in a program » Repetition is known as flow of control. The flow of control can be » Break and Continue implemented using control structures. Python supports Statements two types of control structures—selection and repetition. » Nested Loops 2021-22 Ch 6.indd 121 08-Apr-19 12:37:51 PM 122 COMPUTER SCIENCE – CLASS XI Program 6-1 Program to print the difference of two numbers. #Program 6-1 #Program to print the difference of two input numbers num1 = int(input("Enter first number: ")) num2 = int(input("Enter second number: ")) diff = num1 - num2 print("The difference of",num1,"and",num2,"is",diff) Output: Enter first number 5 Enter second number 7 The difference of 5 and 7 is -2 6.2 SELECTION Now suppose we have `10 to buy a pen. -
Rational Homotopy Theory: a Brief Introduction
Contemporary Mathematics Rational Homotopy Theory: A Brief Introduction Kathryn Hess Abstract. These notes contain a brief introduction to rational homotopy theory: its model category foundations, the Sullivan model and interactions with the theory of local commutative rings. Introduction This overview of rational homotopy theory consists of an extended version of lecture notes from a minicourse based primarily on the encyclopedic text [18] of F´elix, Halperin and Thomas. With only three hours to devote to such a broad and rich subject, it was difficult to choose among the numerous possible topics to present. Based on the subjects covered in the first week of this summer school, I decided that the goal of this course should be to establish carefully the founda- tions of rational homotopy theory, then to treat more superficially one of its most important tools, the Sullivan model. Finally, I provided a brief summary of the ex- tremely fruitful interactions between rational homotopy theory and local algebra, in the spirit of the summer school theme “Interactions between Homotopy Theory and Algebra.” I hoped to motivate the students to delve more deeply into the subject themselves, while providing them with a solid enough background to do so with relative ease. As these lecture notes do not constitute a history of rational homotopy theory, I have chosen to refer the reader to [18], instead of to the original papers, for the proofs of almost all of the results cited, at least in Sections 1 and 2. The reader interested in proper attributions will find them in [18] or [24]. The author would like to thank Luchezar Avramov and Srikanth Iyengar, as well as the anonymous referee, for their helpful comments on an earlier version of this article.