Continuity: Difference between revisions
imported>Richard Pinch (rearranged to develop from real variable to topological space, needs metric space too) |
imported>Richard Pinch (added metric space definition) |
||
Line 6: | Line 6: | ||
We can develop the definition of continuity from the <math>\delta-\epsilon</math> formalism which are usually taught in first year calculus courses to general topological spaces. | We can develop the definition of continuity from the <math>\delta-\epsilon</math> formalism which are usually taught in first year calculus courses to general topological spaces. | ||
=== | ===Function of a real variable=== | ||
The <math>\delta-\epsilon</math> formalism defines limits and continuity for functions which map the set of real numbers to itself. To compare, we recall that at this level a function is said to be continuous at <math>x_0\in\mathbb{R}</math> if (it is defined in a neighborhood of <math>x_0</math> and) for any <math>\varepsilon>0</math> there exist <math>\delta>0</math> such that | The <math>\delta-\epsilon</math> formalism defines limits and continuity for functions which map the set of real numbers to itself. To compare, we recall that at this level a function is said to be continuous at <math>x_0\in\mathbb{R}</math> if (it is defined in a neighborhood of <math>x_0</math> and) for any <math>\varepsilon>0</math> there exist <math>\delta>0</math> such that | ||
:<math> |x-x_0| | :<math> |x-x_0| < \delta \implies |f(x)-f(x_0)| < \varepsilon. \,</math> | ||
Simply stated, the [[limit of a function|limit]] | Simply stated, the [[limit of a function|limit]] | ||
:<math>\lim_{x\to x_0} f(x) = f(x_0).</math> | :<math>\lim_{x\to x_0} f(x) = f(x_0).</math> | ||
Line 14: | Line 14: | ||
This definition of continuity extends directly to functions of a [[complex number|complex]] variable. | This definition of continuity extends directly to functions of a [[complex number|complex]] variable. | ||
=== | ===Function on a metric space=== | ||
A function ''f'' from a [[metric space]] <math>(X,d)</math> to another metric space <math>(Y,e)</math> is ''continuous'' at a point <math>x_0 \in X</math> if for all <math>\varepsilon > 0</math> there exists <math>\delta > 0</math> such that | |||
:<math> d(x,x_0) < \delta \implies e(f(x),f(x_0)) < \varepsilon . \,</math> | |||
If we let <math>B_d(x,r)</math> denote the [[open ball]] of radius ''r'' round ''x'' in ''X'', and similarly <math>B_e(y,r)</math> denote the [[open ball]] of radius ''r'' round ''y'' in ''Y'', we can express this condition in terms of the pull-back <math>f^{\dashv}</math> | |||
:<math>f^{\dashv}[B_e(f(x),\varepsilon)] \supseteq B_d(x,\delta) . \, </math> | |||
===Function on a topological space=== | |||
A function f from a [[topological space]] <math>(X,O_X)</math> to another topological space <math>(Y,O_Y)</math>, usually written as <math>f:(X,O_X) \rightarrow (Y,O_Y)</math>, is said to be '''continuous''' at the point <math>x \in X</math> if for every [[open set]] <math>U_y \in O_Y</math> containing the point ''y=f(x)'', there exists an open set <math>U_x \in O_X</math> containing ''x'' such that <math>f(U_x) \subset U_y</math>. Here <math>f(U_x)=\{f(x') \in Y \mid x' \in U_x\}</math>. In a variation of this definition, instead of being open sets, <math>U_x</math> and <math>U_y</math> can be taken to be, respectively, a [[topological space#Some topological notions|neighbourhood]] of ''x'' and a neighbourhood of <math>y=f(x)</math>. | A function f from a [[topological space]] <math>(X,O_X)</math> to another topological space <math>(Y,O_Y)</math>, usually written as <math>f:(X,O_X) \rightarrow (Y,O_Y)</math>, is said to be '''continuous''' at the point <math>x \in X</math> if for every [[open set]] <math>U_y \in O_Y</math> containing the point ''y=f(x)'', there exists an open set <math>U_x \in O_X</math> containing ''x'' such that <math>f(U_x) \subset U_y</math>. Here <math>f(U_x)=\{f(x') \in Y \mid x' \in U_x\}</math>. In a variation of this definition, instead of being open sets, <math>U_x</math> and <math>U_y</math> can be taken to be, respectively, a [[topological space#Some topological notions|neighbourhood]] of ''x'' and a neighbourhood of <math>y=f(x)</math>. | ||
Revision as of 13:20, 13 November 2008
In mathematics, the notion of continuity of a function relates to the idea that the "value" of the function should not jump abruptly for any vanishingly "small" variation to its argument. Another way to think about a continuity of a function is that any "small" change in the argument of the function can only effect a correspondingly "small" change in the value of the function.
Formal definitions of continuity
We can develop the definition of continuity from the formalism which are usually taught in first year calculus courses to general topological spaces.
Function of a real variable
The formalism defines limits and continuity for functions which map the set of real numbers to itself. To compare, we recall that at this level a function is said to be continuous at if (it is defined in a neighborhood of and) for any there exist such that
Simply stated, the limit
This definition of continuity extends directly to functions of a complex variable.
Function on a metric space
A function f from a metric space to another metric space is continuous at a point if for all there exists such that
If we let denote the open ball of radius r round x in X, and similarly denote the open ball of radius r round y in Y, we can express this condition in terms of the pull-back
Function on a topological space
A function f from a topological space to another topological space , usually written as , is said to be continuous at the point if for every open set containing the point y=f(x), there exists an open set containing x such that . Here . In a variation of this definition, instead of being open sets, and can be taken to be, respectively, a neighbourhood of x and a neighbourhood of .
Continuous function
If the function f is continuous at every point then it is said to be a continuous function. There is another important equivalent definition that does not deal with individual points but uses a 'global' approach. It may be convenient for topological considerations, but perhaps less so in classical analysis. A function is said to be continuous if for any open set (respectively, closed subset of Y ) the set is an open set in (respectively, a closed subset of X).