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Continuous and Uniformly Continuous in Metric Spaces 📂MetricSpace

Continuous and Uniformly Continuous in Metric Spaces

Definitions

Let’s define a function f:EYf : E \to Y for two metric spaces (X,dX)\left( X , d_{X} \right), (Y,dY)\left( Y , d_{Y} \right) and a subset EXE\subset X.

  • Let’s say pEp \in E. For any ε>0\varepsilon > 0, if there exists δ>0\delta>0 such that

    xEanddX(p,x)<δ    dY(f(p),f(x))<ε x \in E \quad \text{and} \quad d_{X}(p, x ) < \delta \implies d_{Y}(f(p) , f(x) ) < \varepsilon

    is satisfied, then ff is said to be continuous at pEp \in E. If ff is continuous at every point of EE, ff is called a continuous function on EE.

  • For any ε>0 \varepsilon > 0, if there exists δ>0\delta>0 such that

    dX(x1,x2)<δx1,x2E    dY(f(x1),f(x2))<ε d_{X}(x_{1}, x_{2} ) < \delta \land x_{1}, x_{2} \in E \implies d_{Y}(f(x_{1}) , f(x_{2}) ) < \varepsilon

is satisfied, then ff is said to be uniformly continuous on EE.


Explanation

Continuity and uniform continuity can be defined beyond R\mathbb{R} for metric spaces. What’s different from continuity in R\mathbb{R} is that it is possible to generalize by changing d1d_{1} and d2d_{2}.

On the other hand, a more sophisticated expression is used, such that for any BdY(f(p),ε)B_{d_{Y}} (f(p) , \varepsilon ), if there exists BdX(p,δ)B_{d_{X}} (p , \delta) which satisfies f(BdX(p,δ))BdY(f(p),ε)f(B_{d_{X}} (p , \delta)) \subset B_{d_{Y}} (f(p) , \varepsilon ), then ff is said to be continuous at pXp \in X. Although it might seem too abstract and intimidating at first, you might find this expression becomes more comfortable as you keep observing it. Considering the generalization to topological spaces, it might be better to become accustomed sooner rather than later.

Theorem: Equivalent Conditions of a Continuous Function

For a function f:XYf:X \to Y, the following conditions are equivalent.

  • f:XYf : X \to Y is continuous.

  • xX, limnpn=p    limnf(pn)=f(p)\forall x \in X,\ \displaystyle \lim_{n \to \infty} p_{n} = p \implies \lim_{n \to \infty} f(p_{n}) = f(p)

  • For all open sets OO in YY, f1(O)f^{-1} ( O ) is an open set in XX.

  • For all closed sets CC in YY, f1(C)f^{-1} ( C ) is a closed set in XX.


These characteristics can be useful in proving that a given function is continuous.

20180116\_150920.png

At first glance, the image above seems like a counterexample to the fourth condition. For the closed interval [c,d][c,d], its preimage f1[c,d]f^{-1} [c,d] is (a,b)(a,b), and as we know, (a,b)(a,b) is an open interval. However, since f:(a,b)Rf : (a,b) \to \mathbb{R}, (a,b)(a,b) becomes the entire space, and the entire space is a closed set, so it does not contradict the proposition.