$$ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Self-defined math definitions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Math symbol commands \newcommand{\intd}{\,{\rm d}} % Symbol 'd' used in integration, such as 'dx' \newcommand{\diff}{{\rm d}} % Symbol 'd' used in differentiation \newcommand{\Diff}{{\rm D}} % Symbol 'D' used in differentiation \newcommand{\pdiff}{\partial} % Partial derivative \newcommand{DD}[2]{\frac{\diff}{\diff #2}\left( #1 \right)} \newcommand{Dd}[2]{\frac{\diff #1}{\diff #2}} \newcommand{PD}[2]{\frac{\pdiff}{\pdiff #2}\left( #1 \right)} \newcommand{Pd}[2]{\frac{\pdiff #1}{\pdiff #2}} \newcommand{\rme}{{\rm e}} % Exponential e \newcommand{\rmi}{{\rm i}} % Imaginary unit i \newcommand{\rmj}{{\rm j}} % Imaginary unit j \newcommand{\vect}[1]{\boldsymbol{#1}} % Vector typeset in bold and italic \newcommand{\phs}[1]{\dot{#1}} % Scalar phasor \newcommand{\phsvect}[1]{\boldsymbol{\dot{#1}}} % Vector phasor \newcommand{\normvect}{\vect{n}} % Normal vector: n \newcommand{\dform}[1]{\overset{\rightharpoonup}{\boldsymbol{#1}}} % Vector for differential form \newcommand{\cochain}[1]{\overset{\rightharpoonup}{#1}} % Vector for cochain \newcommand{\bigabs}[1]{\bigg\lvert#1\bigg\rvert} % Absolute value (single big vertical bar) \newcommand{\Abs}[1]{\big\lvert#1\big\rvert} % Absolute value (single big vertical bar) \newcommand{\abs}[1]{\lvert#1\rvert} % Absolute value (single vertical bar) \newcommand{\bignorm}[1]{\bigg\lVert#1\bigg\rVert} % Norm (double big vertical bar) \newcommand{\Norm}[1]{\big\lVert#1\big\rVert} % Norm (double big vertical bar) \newcommand{\norm}[1]{\lVert#1\rVert} % Norm (double vertical bar) \newcommand{\ouset}[3]{\overset{#3}{\underset{#2}{#1}}} % over and under set % Super/subscript for column index of a matrix, which is used in tensor analysis. \newcommand{\cscript}[1]{\;\; #1} % Star symbol used as prefix in front of a paragraph with no indent \newcommand{\prefstar}{\noindent$\ast$ } % Big vertical line restricting the function. % Example: $u(x)\restrict_{\Omega_0}$ \newcommand{\restrict}{\big\vert} % Math operators which are typeset in Roman font \DeclareMathOperator{\sgn}{sgn} % Sign function \DeclareMathOperator{\erf}{erf} % Error function \DeclareMathOperator{\Bd}{Bd} % Boundary of a set, used in topology \DeclareMathOperator{\Int}{Int} % Interior of a set, used in topology \DeclareMathOperator{\rank}{rank} % Rank of a matrix \DeclareMathOperator{\divergence}{div} % Curl \DeclareMathOperator{\curl}{curl} % Curl \DeclareMathOperator{\grad}{grad} % Gradient \DeclareMathOperator{\tr}{tr} % Trace \DeclareMathOperator{\span}{span} % Span $$

止于至善

As regards numerical analysis and mathematical electromagnetism

James Munkres Topology: Sec 22 Exer 3

Exercise 22.3 Let \(\pi_1: \mathbb{R} \times \mathbb{R} \rightarrow \mathbb{R}\) be projection on the first coordinate. Let \(A\) be the subspace of \(\mathbb{R}\times\mathbb{R}\) consisting of all points \(x \times y\) for which either \(x \geq 0\) or \(y = 0\) (or both); let \(q: A \rightarrow \mathbb{R}\) be obtained by restricting \(\pi_1\). Show that \(q\) is a quotient map that is neither open nor closed.

Proof (a) Show \(q\) is a quotient map.

The projection map \(\pi_1\) is continuous because the pre-image of any open set \(U\) in \(\mathbb{R}\) under \(\pi_1\) is \(U \times \mathbb{R}\), which is open in the product space \(\mathbb{R}\times\mathbb{R}\). Then its restriction \(q\) is also continuous due to Theorem 18.2.

According to the illustrated domain of \(q\) in Figure 1 which is marked in light grey, it is obvious that \(q\) is surjective. It also shows the three types of saturated open sets in \(A\) with respect to \(q\), which are marked in red:

  • \((a,b) \times \{0\}\) with \(a < 0\) and \(b \leq 0\) and its image under \(q\) is \((a, b)\).
  • \((a,b) \times \mathbb{R}\) with \(a \geq 0\) and \(b > 0\) and its image under \(q\) is \((a, b)\).
  • \((a, 0) \times \{0\} \cup [0,b) \times \mathbb{R}\) with \(a < 0\) and \(b > 0\). Because a map preserves set union operation, its image under \(q\) is \((a, b)\).

It can be seen that for the three types of saturated open sets, their images are all open in \(\mathbb{R}​\). Meanwhile, arbitrary union of the above three types saturated open sets is also a saturated open set with its image open in \(\mathbb{R}​\). Therefore, \(q​\) is a quotient map.

Figure 1. Illustration of the domain of $q$ and saturated open sets in $A$.

Figure 1. Illustration of the domain of \(q\) and saturated open sets in \(A\).

(b) Show \(q\) is neither an open nor a closed map.

Let \(U = [0, 1) \times (1, 2)\) be an open set of \(A\) in the subspace topology, which is not saturated. \(q(U) = [0, 1)\) is not open in \(\mathbb{R}\). Hence \(q\) is not an open map.

Let \(U = \{(x,y) \vert xy = 1 \;\text{and}\; x > 0 \}\) which is closed in \(\mathbb{R} \times \mathbb{R}\). According to Theorem 17.2, \(U\) is also closed in the subspace \(A\). Then \(q(U)=(0,+\infty)\), which is not closed in \(\mathbb{R}\). Hence \(q\) is not a closed map.

Comment This exercise shows that a function being open or closed map is a sufficient but not a necessary condition for the function to be a quotient map.

posted @ 2019-02-09 18:10  皮波迪博士  阅读(672)  评论(0编辑  收藏  举报