$$ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % 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

Constructing continuous functions

This post summarises different ways of constructing continuous functions, which are introduced in Section 18 of James Munkres “Topology”.

  1. Constant function.
  2. Inclusion function.

    N.B. The function domain should have the subspace topology relative to the range.

  3. Composition of continuous functions. Specifically, composition of continuous real-valued functions via simple arithmetic, i.e. sum, difference, product and quotient. For the case of quotient, the function as the denominator should never be evaluated to 0.

  4. Restricting the domain of a continuous function.

    N.B. The reduced domain should be assigned the subspace topology with respect to the original domain.

  5. Restricting or expanding the range of a continuous function.

    N.B. The smaller range should have the subspace topology with respect to the larger range.

  6. Local formulation of continuity,i.e. the function is continuous if it is still continuous after restricting its domain to each open set in an open covering of the original domain.

  7. Pasting continuous functions with their domains on patches of closed sets which cover the whole domain.

    Comment: In the overlapping subdomain, the functions on different patches should be defined consistently. This condition is not required in “local formulation of continuity”, where the covering of the whole domain is made from open sets instead of closed sets. From this difference, we can sense the difference between open set and closed set. The former is intrinsically related to continuity, which can be phenomenologically construed as that the open sets can infiltrate into one another infinitely, even though the amount of infiltration is often infinitesimal if a metric is also assigned to the space. On the contrary, the latter has a clearly set demarcation or buffer zone between the functions on different patches without further penetration or interaction. Therefore, it does not intrinsically imply continuity and the function values in the overlapping subdomain must be consistent to ensure the continuity of the fully assembled function.

  8. Maps into products, which ensures the equivalence between the continuity of the original function and that of its coordinate functions.

  9. Uniform limit of a sequence of continuous functions.

    N.B. The range space of these functions should have a metric.

posted @ 2018-12-19 18:12  皮波迪博士  阅读(279)  评论(0编辑  收藏  举报