NETS There Are a Number of Footnotes, Which Can Safely Be Ignored

Total Page:16

File Type:pdf, Size:1020Kb

NETS There Are a Number of Footnotes, Which Can Safely Be Ignored NETS There are a number of footnotes, which can safely be ignored, especially on the first reading. 1. Nets, convergence, continuity Nets are generalization of sequences needed to deal with convergence in general topological spaces, where convergent sequences are not enough to describe the topology. The idea is to replace the set of natural numbers, which is used to index elements of sequences, by arbitrary sets such that it makes sense to talk about \large" elements. Recall that a partial order on a set I is a binary relation ≺ such that (a) i ≺ i; (b) if i ≺ j and j ≺ i; then i = j; (c) if i ≺ j and j ≺ k; then i ≺ k: Definition 1.1. A set I with a partial order1 ≺ is called directed if for any i; j 2 I there exists k 2 I such that i ≺ k and j ≺ k. The following example will be our main source of directed sets. Example 1.2. Let X be a set and I be a collection of subsets of X closed under finite intersections, so if A; B 2 I then A \ B 2 I. Define a partial order on I by A ≺ B iff B ⊂ A: Then I is a directed set: for any A; B 2 I, we have A ≺ A \ B and B ≺ A \ B. Definition 1.3. A net in a set X is a collection (xi)i2I of elements of X indexed by a nonempty directed set I, or in other words, it is a map I ! X. Definition 1.4. We say that a net (xi)i2I in a topological space X converges to an element x 2 X, and write xi ! x or simply xi ! x, if for every neighbourhood U of x there exists i0 2 I such that xi 2 U for i 2 all i i0. More generally, we say that x is a cluster point of (xi)i2I if for every neighbourhood U of x and every i0 2 I there exists i i0 such that xi 2 U. In a Hausdorff topological space a net can converge to at most one point, which we then denote by lim xi. i Example 1.5. Assume X is a topological space, x 2 X, and I is the collection of all neighbourhoods of x. Since I is closed under finite intersections, we can order it by the inverse inclusion as in Example 1.2. For every U 2 I choose an element xU 2 U. Then (xU )U2I is a net in X converging to x, since for every neighbourhood U of x we have xV 2 V ⊂ U for all V U. Proposition 1.6. Assume X is a topological space, A ⊂ X and x 2 X. Then x 2 A¯ if and only if there exists a net in A converging (in X) to x. Proof. ) If x 2 A¯, then for every neighbourhood U of x there exists an element xU 2 U \A. By Example 1.5 this gives us a net (xU )U converging to x. ( If xi 2 A and xi ! x, then for every neighbourhood U of x there exists i0 such that xi 2 U for all ¯ i i0. In particular, A \ U 6= ;. Since this is true for all U, we conclude that x 2 A. Date: November 23, 2017. 1More often than not, it is assumed that ≺ is only a preorder, or quasiorder, that is, condition (b) is omitted. But I follow [M] here. 2The terms limit point and accumulation point are also used, but then they should not be confused with limit/accumulation points of the set fxi j i 2 Ig ⊂ X. 1 Corollary 1.7. Assume F1 and F2 are two topologies on a set X such that for any net (xi)i in X and any 3 x 2 X we have xi ! x in topology F1 if and only if xi ! x in topology F2. Then F1 = F2. Proof. By the previous proposition, for any set A ⊂ X and any x 2 X, the element x belongs to the closure of A in topology F1 if and only if it belongs to the closure of A in topology F2. It follows that a set is closed in topology F1 if and only if it is closed in topology F2. Hence the same is true for open sets, so F1 = F2. Proposition 1.8. A map f : X ! Y between topological spaces is continuous at a point x 2 X if and only if for every net (xi)i in X converging to x we have f(xi) ! f(x). Proof. ) Take a neighbourhood V of f(x). We have to find i0 2 I such that f(xi) 2 V for all i i0. By continuity of f at x, there exists a neighbourhood U of x such that f(U) ⊂ V . As xi ! x, there exists i0 2 I such that xi 2 U for all i i0. Then f(xi) 2 V for all i i0. ( Suppose that f is not continuous at x. This means that there exists a neighbourhood V of f(x) such that for every neighbourhood U of x we have f(U) 6⊂ V . Hence, for every such U, there exists an element −1 xU 2 U n f (V ). Then, again by Example 1.5, we get a net (xU )U converging to x, yet f(xU ) 62 V for all U, so the net (f(xU ))U does not converge to f(x). 2. Subnets Subnets are analogues of subsequences. An immediate idea is to say that a subnet of a net (xi)i2I is determined by a subset J ⊂ I with some nice properties. This turns out to be too naive. For example, it would be impossible to prove Proposition 2.2 below using such a notion. The correct definition is less straightforward. Definition 2.1. A net (yj)j2J is called a subnet of a net (xi)i2I if there exists a map ': J ! I such that 4 yj = x'(j) and for every i0 2 I there exists j0 2 J such that '(j) i0 for all j j0. Proposition 2.2. Assume x is a cluster point of a net (xi)i2I in a topological space X. Then there exists a subnet of (xi)i converging to x. Proof. Consider the set J of pairs (i; U), where i 2 I and U is a neighbourhood of x such that xi 2 U. Define a partial order on J by (i1;U1) ≺ (i2;U2) iff i1 ≺ i2 and U2 ⊂ U1: Let us check that J is directed. Take two points (i1;U1) and (i2;U2) in J. As I is directed, there exists 0 0 0 0 k 2 I such that i1 ≺ k and i2 ≺ k . Since x is a cluster point, there exists k k such that xk 2 U1 \ U2. Then (i1;U1) ≺ (k; U1 \ U2) and (i2;U2) ≺ (k; U1 \ U2): Next, define a map ': J ! I by '(i; U) = i. Let us check that ' has the property required in Def- inition 2.1. Take i0 2 I and a neighbourhood U0 of x. We can find k0 i0 such that xk0 2 U0. Then j0 = (k0;U0) is an element of J with the property that '(j) i0 for all j j0. 3A bit more informally we can say that a topology is completely determined by specifying convergence of nets. A natural question then is whether we can start with a rule of convergence instead of open sets to develop a meaningful theory. This is indeed possible and leads to the notion of convergence spaces. Convergence spaces are more general than topological spaces, so not every rule of convergence is defined by a topology, but they have found much fewer applications. 4This is only one of possible definitions, due to Kelley. The definition in [M], due to Willard, is different and less convenient to work with. More precisely, a Willard subnet is a Kelley subnet, but not every Kelley subnet is a Willard subnet. If you are bothered by the fact that there are different notions of subnets, the good news is that they have the same functionality in the following rigorous sense. Two nets (yj )j2J and (zk)k2K are said to be AA-equivalent (AA stands for Aarnes and Andenæs - two mathematicians from Trondheim), if for every j0 2 J there exists k0 2 K such that fzk j k k0g ⊂ fyj j j j0g and, conversely, for every k0 2 K there exists j0 2 J such that fyj j j j0g ⊂ fzk j k k0g. It is easy to see that AA-equivalent nets converge to the same elements and have the same cluster points. Now, it is possible to show that any Kelley subnet of a net (xi)i is AA-equivalent to a Willard subnet of (xi)i. 2 Thus, by letting yj = x'(j) we get a subnet (yj)j2J of (xi)i2I . It remains to show that yj ! x. Let U be a neighbourhood of x. There exists i0 2 I such that xi0 2 U. Consider j0 = (i0;U) 2 J. Then for any j = (i; V ) j0 we have yj = x'(j) = xi 2 V ⊂ U: Hence yj ! x. 3. Compactness Theorem 3.1. For any topological space X the following conditions are equivalent: (i) X is compact; (ii) every net in X has a cluster point; (iii) every net in X has a convergent subnet.
Recommended publications
  • Completeness in Quasi-Pseudometric Spaces—A Survey
    mathematics Article Completeness in Quasi-Pseudometric Spaces—A Survey ¸StefanCobzas Faculty of Mathematics and Computer Science, Babe¸s-BolyaiUniversity, 400 084 Cluj-Napoca, Romania; [email protected] Received:17 June 2020; Accepted: 24 July 2020; Published: 3 August 2020 Abstract: The aim of this paper is to discuss the relations between various notions of sequential completeness and the corresponding notions of completeness by nets or by filters in the setting of quasi-metric spaces. We propose a new definition of right K-Cauchy net in a quasi-metric space for which the corresponding completeness is equivalent to the sequential completeness. In this way we complete some results of R. A. Stoltenberg, Proc. London Math. Soc. 17 (1967), 226–240, and V. Gregori and J. Ferrer, Proc. Lond. Math. Soc., III Ser., 49 (1984), 36. A discussion on nets defined over ordered or pre-ordered directed sets is also included. Keywords: metric space; quasi-metric space; uniform space; quasi-uniform space; Cauchy sequence; Cauchy net; Cauchy filter; completeness MSC: 54E15; 54E25; 54E50; 46S99 1. Introduction It is well known that completeness is an essential tool in the study of metric spaces, particularly for fixed points results in such spaces. The study of completeness in quasi-metric spaces is considerably more involved, due to the lack of symmetry of the distance—there are several notions of completeness all agreing with the usual one in the metric case (see [1] or [2]). Again these notions are essential in proving fixed point results in quasi-metric spaces as it is shown by some papers on this topic as, for instance, [3–6] (see also the book [7]).
    [Show full text]
  • An Introduction to Nonstandard Analysis 11
    AN INTRODUCTION TO NONSTANDARD ANALYSIS ISAAC DAVIS Abstract. In this paper we give an introduction to nonstandard analysis, starting with an ultrapower construction of the hyperreals. We then demon- strate how theorems in standard analysis \transfer over" to nonstandard anal- ysis, and how theorems in standard analysis can be proven using theorems in nonstandard analysis. 1. Introduction For many centuries, early mathematicians and physicists would solve problems by considering infinitesimally small pieces of a shape, or movement along a path by an infinitesimal amount. Archimedes derived the formula for the area of a circle by thinking of a circle as a polygon with infinitely many infinitesimal sides [1]. In particular, the construction of calculus was first motivated by this intuitive notion of infinitesimal change. G.W. Leibniz's derivation of calculus made extensive use of “infinitesimal” numbers, which were both nonzero but small enough to add to any real number without changing it noticeably. Although intuitively clear, infinitesi- mals were ultimately rejected as mathematically unsound, and were replaced with the common -δ method of computing limits and derivatives. However, in 1960 Abraham Robinson developed nonstandard analysis, in which the reals are rigor- ously extended to include infinitesimal numbers and infinite numbers; this new extended field is called the field of hyperreal numbers. The goal was to create a system of analysis that was more intuitively appealing than standard analysis but without losing any of the rigor of standard analysis. In this paper, we will explore the construction and various uses of nonstandard analysis. In section 2 we will introduce the notion of an ultrafilter, which will allow us to do a typical ultrapower construction of the hyperreal numbers.
    [Show full text]
  • 1. Introduction in a Topological Space, the Closure Is Characterized by the Limits of the Ultrafilters
    Pr´e-Publica¸c˜oes do Departamento de Matem´atica Universidade de Coimbra Preprint Number 08–37 THE ULTRAFILTER CLOSURE IN ZF GONC¸ALO GUTIERRES Abstract: It is well known that, in a topological space, the open sets can be characterized using filter convergence. In ZF (Zermelo-Fraenkel set theory without the Axiom of Choice), we cannot replace filters by ultrafilters. It is proven that the ultrafilter convergence determines the open sets for every topological space if and only if the Ultrafilter Theorem holds. More, we can also prove that the Ultrafilter Theorem is equivalent to the fact that uX = kX for every topological space X, where k is the usual Kuratowski Closure operator and u is the Ultrafilter Closure with uX (A) := {x ∈ X : (∃U ultrafilter in X)[U converges to x and A ∈U]}. However, it is possible to built a topological space X for which uX 6= kX , but the open sets are characterized by the ultrafilter convergence. To do so, it is proved that if every set has a free ultrafilter then the Axiom of Countable Choice holds for families of non-empty finite sets. It is also investigated under which set theoretic conditions the equality u = k is true in some subclasses of topological spaces, such as metric spaces, second countable T0-spaces or {R}. Keywords: Ultrafilter Theorem, Ultrafilter Closure. AMS Subject Classification (2000): 03E25, 54A20. 1. Introduction In a topological space, the closure is characterized by the limits of the ultrafilters. Although, in the absence of the Axiom of Choice, this is not a fact anymore.
    [Show full text]
  • "Mathematics for Computer Science" (MCS)
    “mcs” — 2016/9/28 — 23:07 — page i — #1 Mathematics for Computer Science revised Wednesday 28th September, 2016, 23:07 Eric Lehman Google Inc. F Thomson Leighton Department of Mathematics and the Computer Science and AI Laboratory, Massachussetts Institute of Technology; Akamai Technologies Albert R Meyer Department of Electrical Engineering and Computer Science and the Computer Science and AI Laboratory, Massachussetts Institute of Technology 2016, Eric Lehman, F Tom Leighton, Albert R Meyer. This work is available under the terms of the Creative Commons Attribution-ShareAlike 3.0 license. “mcs” — 2016/9/28 — 23:07 — page ii — #2 “mcs” — 2016/9/28 — 23:07 — page iii — #3 Contents I Proofs Introduction 3 0.1 References4 1 What is a Proof? 5 1.1 Propositions5 1.2 Predicates8 1.3 The Axiomatic Method8 1.4 Our Axioms9 1.5 Proving an Implication 11 1.6 Proving an “If and Only If” 13 1.7 Proof by Cases 15 1.8 Proof by Contradiction 16 1.9 Good Proofs in Practice 17 1.10 References 19 2 The Well Ordering Principle 29 2.1 Well Ordering Proofs 29 2.2 Template for Well Ordering Proofs 30 2.3 Factoring into Primes 32 2.4 Well Ordered Sets 33 3 Logical Formulas 47 3.1 Propositions from Propositions 48 3.2 Propositional Logic in Computer Programs 51 3.3 Equivalence and Validity 54 3.4 The Algebra of Propositions 56 3.5 The SAT Problem 61 3.6 Predicate Formulas 62 3.7 References 67 4 Mathematical Data Types 93 4.1 Sets 93 4.2 Sequences 98 4.3 Functions 99 4.4 Binary Relations 101 4.5 Finite Cardinality 105 “mcs” — 2016/9/28 — 23:07 — page iv — #4 Contentsiv 5 Induction 125 5.1 Ordinary Induction 125 5.2 Strong Induction 134 5.3 Strong Induction vs.
    [Show full text]
  • MTH 304: General Topology Semester 2, 2017-2018
    MTH 304: General Topology Semester 2, 2017-2018 Dr. Prahlad Vaidyanathan Contents I. Continuous Functions3 1. First Definitions................................3 2. Open Sets...................................4 3. Continuity by Open Sets...........................6 II. Topological Spaces8 1. Definition and Examples...........................8 2. Metric Spaces................................. 11 3. Basis for a topology.............................. 16 4. The Product Topology on X × Y ...................... 18 Q 5. The Product Topology on Xα ....................... 20 6. Closed Sets.................................. 22 7. Continuous Functions............................. 27 8. The Quotient Topology............................ 30 III.Properties of Topological Spaces 36 1. The Hausdorff property............................ 36 2. Connectedness................................. 37 3. Path Connectedness............................. 41 4. Local Connectedness............................. 44 5. Compactness................................. 46 6. Compact Subsets of Rn ............................ 50 7. Continuous Functions on Compact Sets................... 52 8. Compactness in Metric Spaces........................ 56 9. Local Compactness.............................. 59 IV.Separation Axioms 62 1. Regular Spaces................................ 62 2. Normal Spaces................................ 64 3. Tietze's extension Theorem......................... 67 4. Urysohn Metrization Theorem........................ 71 5. Imbedding of Manifolds..........................
    [Show full text]
  • M2 M'l M2m3 M1 a Net {Sm,Med) in a Uniform Space (X, U) Is Submonotone > M and Relative to a Base V for U If Wheneverm3> M
    AN ABSTRACT OF THE THESIS OF FRANK OLIVER WYSE for the Ph. D.in MATHEMATICS (Name) (Degree) (Major) Date thesis is presented TitleNETS IN UNIFORM SPACES: MONOTONEITY, LIMIT THEOREMS Redacted for Privacy Abstract approved Majcprofessor) After a discussion of nets and subnets (both words are here used in broader senses than are customary) two independent topics are treated. One is a generalization of the concept "monotone," as applied to sequences of real numbers, to a related concept for nets in uniform spaces.(Here the nets are as usual functions on directed sets.) A net {S, meD} in a pseudometric space (X, d)is "sub- monotone" if whenever m d(S , S ) < d(S,S ). 3 m3 m2 m'l m2m3 m1 A net {Sm,mED) in a uniform space (X, U) is submonotone > m and relative to a base V for U if wheneverm3> m (S ,S ) EVEV, also(S ,S ) EV.Various sufficient conditions m1 m3 m2 m3 for a net to be submonotone are developed, the manner of conver- gence of a convergent subrnon.otone net is investigated, conditions for a net to have a submonotone subnet are given, and two theorems are proved in which submonotoneity and a related condition (respectively) appear as hypotheses.(In particular the familiar fact that a bounded monotone sequence of real numbers has a limit finds a generalization: A submonotone net in a compact space converges.) I hope that it may prove useful to hypothesize submonotoneity in other work. The second topic is the justification of changing the order in a repeated limit.
    [Show full text]
  • General Topology
    General Topology Tom Leinster 2014{15 Contents A Topological spaces2 A1 Review of metric spaces.......................2 A2 The definition of topological space.................8 A3 Metrics versus topologies....................... 13 A4 Continuous maps........................... 17 A5 When are two spaces homeomorphic?................ 22 A6 Topological properties........................ 26 A7 Bases................................. 28 A8 Closure and interior......................... 31 A9 Subspaces (new spaces from old, 1)................. 35 A10 Products (new spaces from old, 2)................. 39 A11 Quotients (new spaces from old, 3)................. 43 A12 Review of ChapterA......................... 48 B Compactness 51 B1 The definition of compactness.................... 51 B2 Closed bounded intervals are compact............... 55 B3 Compactness and subspaces..................... 56 B4 Compactness and products..................... 58 B5 The compact subsets of Rn ..................... 59 B6 Compactness and quotients (and images)............. 61 B7 Compact metric spaces........................ 64 C Connectedness 68 C1 The definition of connectedness................... 68 C2 Connected subsets of the real line.................. 72 C3 Path-connectedness.......................... 76 C4 Connected-components and path-components........... 80 1 Chapter A Topological spaces A1 Review of metric spaces For the lecture of Thursday, 18 September 2014 Almost everything in this section should have been covered in Honours Analysis, with the possible exception of some of the examples. For that reason, this lecture is longer than usual. Definition A1.1 Let X be a set. A metric on X is a function d: X × X ! [0; 1) with the following three properties: • d(x; y) = 0 () x = y, for x; y 2 X; • d(x; y) + d(y; z) ≥ d(x; z) for all x; y; z 2 X (triangle inequality); • d(x; y) = d(y; x) for all x; y 2 X (symmetry).
    [Show full text]
  • Continuity Properties and Sensitivity Analysis of Parameterized Fixed
    Continuity properties and sensitivity analysis of parameterized fixed points and approximate fixed points Zachary Feinsteina Washington University in St. Louis August 2, 2016 Abstract In this paper we consider continuity of the set of fixed points and approximate fixed points for parameterized set-valued mappings. Continuity properties are provided for the fixed points of general multivalued mappings, with additional results shown for contraction mappings. Further analysis is provided for the continuity of the approxi- mate fixed points of set-valued functions. Additional results are provided on sensitivity of the fixed points via set-valued derivatives related to tangent cones. Key words: fixed point problems; approximate fixed point problems; set-valued continuity; data dependence; generalized differentiation MSC: 54H25; 54C60; 26E25; 47H04; 47H14 1 Introduction Fixed points are utilized in many applications. Often the parameters of such models are estimated from data. As such it is important to understand how the set of fixed points aZachary Feinstein, ESE, Washington University, St. Louis, MO 63130, USA, [email protected]. 1 changes with respect to the parameters. We motivate our general approach by consider applications from economics and finance. In particular, the solution set of a parameterized game (i.e., Nash equilibria) fall under this setting. Thus if the parameters of the individuals playing the game are not perfectly known, sensitivity analysis can be done in a general way even without unique equilibrium. For the author, the immediate motivation was from financial systemic risk models such as those in [10, 8, 4, 12] where methodology to estimate system parameters are studied in, e.g., [15].
    [Show full text]
  • An Introduction to Nonstandard Analysis
    An Introduction to Nonstandard Analysis Jeffrey Zhang Directed Reading Program Fall 2018 December 5, 2018 Motivation • Developing/Understanding Differential and Integral Calculus using infinitely large and small numbers • Provide easier and more intuitive proofs of results in analysis Filters Definition Let I be a nonempty set. A filter on I is a nonempty collection F ⊆ P(I ) of subsets of I such that: • If A; B 2 F , then A \ B 2 F . • If A 2 F and A ⊆ B ⊆ I , then B 2 F . F is proper if ; 2= F . Definition An ultrafilter is a proper filter such that for any A ⊆ I , either A 2 F or Ac 2 F . F i = fA ⊆ I : i 2 Ag is called the principal ultrafilter generated by i. Filters Theorem Any infinite set has a nonprincipal ultrafilter on it. Pf: Zorn's Lemma/Axiom of Choice. The Hyperreals Let RN be the set of all real sequences on N, and let F be a fixed nonprincipal ultrafilter on N. Define an (equivalence) relation on RN as follows: hrni ≡ hsni iff fn 2 N : rn = sng 2 F . One can check that this is indeed an equivalence relation. We denote the equivalence class of a sequence r 2 RN under ≡ by [r]. Then ∗ R = f[r]: r 2 RNg: Also, we define [r] + [s] = [hrn + sni] [r] ∗ [s] = [hrn ∗ sni] The Hyperreals We say [r] = [s] iff fn 2 N : rn = sng 2 F . < is defined similarly. ∗ ∗ A subset A of R can be enlarged to a subset A of R, where ∗ [r] 2 A () fn 2 N : rn 2 Ag 2 F : ∗ ∗ ∗ Likewise, a function f : R ! R can be extended to f : R ! R, where ∗ f ([r]) := [hf (r1); f (r2); :::i] The Hyperreals A hyperreal b is called: • limited iff jbj < n for some n 2 N.
    [Show full text]
  • SELECTIVE ULTRAFILTERS and Ω −→ (Ω) 1. Introduction Ramsey's
    PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 127, Number 10, Pages 3067{3071 S 0002-9939(99)04835-2 Article electronically published on April 23, 1999 SELECTIVE ULTRAFILTERS AND ! ( ! ) ! −→ TODD EISWORTH (Communicated by Andreas R. Blass) Abstract. Mathias (Happy families, Ann. Math. Logic. 12 (1977), 59{ 111) proved that, assuming the existence of a Mahlo cardinal, it is consistent that CH holds and every set of reals in L(R)is -Ramsey with respect to every selective ultrafilter . In this paper, we showU that the large cardinal assumption cannot be weakened.U 1. Introduction Ramsey's theorem [5] states that for any n !,iftheset[!]n of n-element sets of natural numbers is partitioned into finitely many∈ pieces, then there is an infinite set H ! such that [H]n is contained in a single piece of the partition. The set H is said⊆ to be homogeneous for the partition. We can attempt to generalize Ramsey's theorem to [!]!, the collection of infinite subsets of the natural numbers. Let ! ( ! ) ! abbreviate the statement \for every [!]! there is an infinite H ! such−→ that either [H]! or [H]! = ." UsingX⊆ the axiom of choice, it is easy⊆ to partition [!]! into two⊆X pieces in such∩X a way∅ that any two infinite subsets of ! differing by a single element lie in different pieces of the partition. Obviously such a partition can admit no infinite homogeneous set. Thus under the axiom of choice, ! ( ! ) ! is false. Having been stymied in this naive−→ attempt at generalization, we have several obvious ways to proceed. A natural project would be to attempt to find classes of partitions of [!]! that do admit infinite homogeneous sets.
    [Show full text]
  • Inspector's Handbook: Subbase Construction
    INSPECTOR'S HANDBOOK SUBBASE CONSTRUCTION IOWA STATE HIGHWAY COMMISSION AMES, IOWA 1969 r 17:_:H53 s~sl4 1969 \------ -- "- SUBBASE CONSTRUCTION Walter Schneider Jerry Rodibaugh INTRODUCTION This handbook is an inspector's aid. It was written by two inspectors to bring together a 11 of the most­ of ten-needed information involved in their work. Much care has been taken to detai I each phase of construction, with particular attention to the r.equire­ ments and limitations of specifications. All applicable specification interpretations in Instructions to Resident Engineers have been included. The beginning inspector should look to the hand­ book as a reference for standards of good practice. The Standard.Specifications and Special Provisions should not, however, be overlooked as the basic sources of information on requirements and restrictions concerning workmanship and materials. I . CONTENTS SUBBASE CONSTRUCTION Page 1 Definition 1 Types 1 Figure 1 - Typical Section 1 INSPECTION 1 Plans, Proposals, and Specifications · 1 Preconstruction Detai Is 2 I l. STAKING 2 Purpose 2 Techniques 2 -- SUBGRADE CORRECTION 3 Application 3 Profile and Cross-Section Requirements 4 Figure 2 - Flexible Base Construction 5 INSPECTING DIFFERENT TYPES OF ROLLERS USED IN SUBBASE CONSTRUCTION 5 Tamping Rollers . s· Self-Propelled, Steel-Tired Rollers 5 Self-Propelled and Pull-Type Pneumatic Tire Roi lers 6 Figure 3 - Pneumatic-Tired Roller 6 SPREAD RA TES AND PLAN QUANTITIES 6 Spread Chart 6 Fig.ure 4 - Typical Spr~ad chart 7 Figure 5 - scale Ti ck 8 et -- Granular
    [Show full text]
  • Sufficient Generalities About Topological Vector Spaces
    (November 28, 2016) Topological vector spaces Paul Garrett [email protected] http:=/www.math.umn.edu/egarrett/ [This document is http://www.math.umn.edu/~garrett/m/fun/notes 2016-17/tvss.pdf] 1. Banach spaces Ck[a; b] 2. Non-Banach limit C1[a; b] of Banach spaces Ck[a; b] 3. Sufficient notion of topological vector space 4. Unique vectorspace topology on Cn 5. Non-Fr´echet colimit C1 of Cn, quasi-completeness 6. Seminorms and locally convex topologies 7. Quasi-completeness theorem 1. Banach spaces Ck[a; b] We give the vector space Ck[a; b] of k-times continuously differentiable functions on an interval [a; b] a metric which makes it complete. Mere pointwise limits of continuous functions easily fail to be continuous. First recall the standard [1.1] Claim: The set Co(K) of complex-valued continuous functions on a compact set K is complete with o the metric jf − gjCo , with the C -norm jfjCo = supx2K jf(x)j. Proof: This is a typical three-epsilon argument. To show that a Cauchy sequence ffig of continuous functions has a pointwise limit which is a continuous function, first argue that fi has a pointwise limit at every x 2 K. Given " > 0, choose N large enough such that jfi − fjj < " for all i; j ≥ N. Then jfi(x) − fj(x)j < " for any x in K. Thus, the sequence of values fi(x) is a Cauchy sequence of complex numbers, so has a limit 0 0 f(x). Further, given " > 0 choose j ≥ N sufficiently large such that jfj(x) − f(x)j < " .
    [Show full text]