Uniformly Continuous Function

A function is said to be uniformly continuous on the interval [a, b] ⊆ ℝ if for every \( \epsilon > 0 \) there exists a \( \delta = \delta(\epsilon) > 0 \) such that $$ |x - x'| < \delta \quad \Rightarrow \quad |f(x) - f(x')| < \epsilon $$ for all \( x, x' \in [a, b] \).

Geometrically, this means that a continuous function on [a, b] never exhibits any sudden, unbounded oscillations.

uniformly continuous function

Intuitively, smaller values of \( \epsilon \) require correspondingly smaller values of \( \delta \), and vice versa.

In general, for an ordinary continuous function, \( \delta \) might depend on both \( \epsilon \) and the specific point \( x_0 \) at which continuity is evaluated:

$$ \delta = \delta(\epsilon, x_0) $$

In contrast, for uniformly continuous functions, the choice of \( \delta \) depends solely on \( \epsilon \), independently of any particular \( x_0 \).

Note: You can think of the relationship between \( \epsilon \) and \( \delta \) as defining a rectangle centered at any point \( x \in [a, b] \). For a uniformly continuous function, the graph only intersects the vertical sides of this rectangle - it never crosses the horizontal edge. For example, if one can choose \( \delta = 2\epsilon \) on the interval [a, b], the graph meets these rectangles strictly along their vertical boundaries, confirming uniform continuity. Conversely, if on some interval such as [0, a] the function only satisfies \( \delta = \epsilon/2 \) and its graph crosses the bottom side of the rectangle, then uniform continuity fails on that interval.
example

A Practical Example

Consider the function \( f(x) = x^3 \), which is continuous on ℝ:

$$ f(x) = x^3 $$

This function is also uniformly continuous on the interval [0, 1].

Fix any \( \epsilon > 0 \). Uniform continuity guarantees the existence of some \( \delta > 0 \) (depending solely on \( \epsilon \)) such that for any \( x_1, x_2 \in [0, 1] \):

$$ |x_1 - x_2| < \delta \quad \Rightarrow \quad |x_1^3 - x_2^3| < \epsilon $$

Observing that the difference of cubes factors as:

$$ |x_1^3 - x_2^3| = |x_1 - x_2| \cdot |x_1^2 + x_1x_2 + x_2^2|, $$

and noting that for \( x_1,x_2 \in [0,1] \) we have

$$ 0 \le x_1^2,\, x_1x_2,\, x_2^2 \le 1, $$

so that

$$ |x_1^2 + x_1x_2 + x_2^2| \le 3, $$

it follows that

$$ |x_1^3 - x_2^3| \le 3\, |x_1 - x_2|. $$

Thus, to ensure \( |x_1^3 - x_2^3| < \epsilon \), it suffices to require

$$ 3\,|x_1 - x_2| < \epsilon, $$ which is equivalent to

$$ |x_1 - x_2| < \frac{\epsilon}{3}. $$

In conclusion, for every \( \epsilon > 0 \) one may choose

$$ \delta = \frac{\epsilon}{3}, $$

which verifies that \( f(x) = x^3 \) is uniformly continuous on [0, 1].

Difference Between Continuity and Uniform Continuity

While the two concepts are related, they are not equivalent:

  • A uniformly continuous function on [a, b] is necessarily continuous, with its \( \delta \) chosen uniformly over the whole interval, i.e., \( \delta = \delta(\epsilon) \) independent of the point.
  • A continuous function on [a, b] may have a \( \delta \) that depends on both \( \epsilon \) and the point \( x_0 \), i.e., \( \delta = \delta(\epsilon, x_0) \), and hence does not guarantee uniform behavior over the interval.

Thus, uniform continuity is a strictly stronger condition than mere continuity.

Note: In short, while continuity is a necessary condition for uniform continuity, it is not sufficient on its own.

And so on.

 

 
 

Please feel free to point out any errors or typos, or share suggestions to improve these notes. English isn't my first language, so if you notice any mistakes, let me know, and I'll be sure to fix them.

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