Continuity

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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.

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Formal definitions of continuity

We can develop the definition of continuity from the \delta-\epsilon formalism which are usually taught in first year calculus courses to general topological spaces.

Function of a real variable

The \delta-\epsilon 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 x_0\in\mathbb{R} if (it is defined in a neighborhood of x_0 and) for any \varepsilon>0 there exist \delta>0 such that

 |x-x_0| < \delta \implies |f(x)-f(x_0)| < \varepsilon. \,

Simply stated, the limit

\lim_{x\to x_0} f(x)  = f(x_0).

This definition of continuity extends directly to functions of a complex variable.

Function on a metric space

A function f from a metric space (X,d) to another metric space (Y,e) is continuous at a point x_0 \in X if for all \varepsilon > 0 there exists \delta > 0 such that

 d(x,x_0) < \delta \implies e(f(x),f(x_0)) < \varepsilon . \,

If we let B_d(x,r) denote the open ball of radius r round x in X, and similarly B_e(y,r) denote the open ball of radius r round y in Y, we can express this condition in terms of the pull-back f^{\dashv}

f^{\dashv}[B_e(f(x),\varepsilon)] \supseteq B_d(x,\delta) . \,

Function on a topological space

A function f from a topological space (X,O_X) to another topological space (Y,O_Y), usually written as f:(X,O_X) \rightarrow (Y,O_Y), is said to be continuous at the point x \in X if for every open set U_y \in O_Y containing the point y=f(x), there exists an open set U_x \in O_X containing x such that f(U_x) \subset U_y. Here f(U_x)=\{f(x') \in Y \mid x' \in U_x\}. In a variation of this definition, instead of being open sets, U_x and U_y can be taken to be, respectively, a neighbourhood of x and a neighbourhood of y=f(x).


Continuous function

If the function f is continuous at every point x \in X 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 f:(X,O_X) \rightarrow (Y,O_Y) is said to be continuous if for any open set U \in O_Y (respectively, closed subset of Y ) the set f^{-1}(U)=\{ x \in X \mid f(x) \in U\} is an open set in O_x (respectively, a closed subset of X).

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