Math 2.0

statement proposition

Epsilon-delta continuity in metric spaces

Statement

Let (X,dX)(X, d_X) and (Y,dY)(Y, d_Y) be metric spaces, let f ⁣:X→Yf \colon X \to Y be a function and let a∈Xa \in X. Then ff is continuous at aa if and only if for each real ε>0\varepsilon > 0 there is a real δ>0\delta > 0 such that dX(x,a)<δ  ⟹  dY(f(x),f(a))<εfor all x∈X.d_X(x, a) < \delta \implies d_Y\bigl(f(x), f(a)\bigr) < \varepsilon \quad \text{for all } x \in X.

Remarks

In terms of open balls, the condition says: for each ε>0\varepsilon > 0 there is δ>0\delta > 0 with f(B(a,δ))⊆B(f(a),ε)f(B(a, \delta)) \subseteq B(f(a), \varepsilon). The number δ\delta can depend on ε\varepsilon and on aa. When one δ\delta works for all aa, the map is uniformly continuous. For X=Y=RX = Y = \mathbb{R}, this is the epsilon-delta definition of continuity from calculus.

Explanations

L1 human

You can make f(x)f(x) as close to f(a)f(a) as you want by taking xx close enough to aa. The tolerance ε\varepsilon for the output comes first, and then you find a tolerance δ\delta for the input.

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Sources

  1. Web https://en.wikipedia.org/wiki/Continuous_function, Continuous functions between metric spaces