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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.
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 definition of continuity==
==Formal definitions of continuity==
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|neighbourhood]] of ''x'' and a neighbourhood of <math>y=f(x)</math>.
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.


This definition corresponds to a generalization of the <math>\delta-\epsilon</math> formalism which are usually taught in first year calculus courses to, among other things, define limits and continuity for functions which map the set of real numbers to itself.
===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
:<math> |x-x_0| < \delta \implies |f(x)-f(x_0)| < \varepsilon. \,</math>
Simply stated, the [[limit of a function|limit]]
:<math>\lim_{x\to x_0} f(x)  = f(x_0).</math>
 
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>.


==Continuous function==
If the function ''f'' is continuous at every point <math>x \in X</math> then it is said to be a '''continuous function'''. An important ''equivalent'' definition, but perhaps less convenient to work with directly, is that a function <math>f:(X,O_X) \rightarrow (Y,O_Y)</math> is continuous if for any open (respectively, closed) set <math>U \in O_Y</math> the set <math>f^{-1}(U)=\{ x \in X \mid f(x) \in U\}</math> is an open (respectively, closed) set in <math>O_x</math>. In this latter definition, a continuous function is simply a function which maps open sets to open sets or, equivalently, closed sets to closed sets.


[[Category:Mathematics_Workgroup]]


[[Category:CZ Live]]
==Continuous function==
If the function ''f'' is continuous at every point <math>x \in X</math> 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 <math>f:(X,O_X) \rightarrow (Y,O_Y)</math> is said to be continuous if for any open set <math>U \in O_Y</math> (respectively, [[closed set|closed subset]] of ''Y'' ) the set <math>f^{-1}(U)=\{ x \in X \mid f(x) \in U\}</math> is an open set in <math>O_x</math> (respectively, a closed subset of ''X'').[[Category:Suggestion Bot Tag]]

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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).