Boundedness Theorem

The boundedness theorem is the most fundamental property of continuous functions on a closed interval; it guarantees that a continuous function on a closed interval never “runs off to infinity”.

Statement of the Theorem

Boundedness Theorem

On the closed interval [a,b][a, b], a continuous function f(x)f(x) must be bounded; that is, there exists a constant M>0M > 0 such that for every x∈[a,b]x \in [a, b], we have ∣f(x)∣≤M|f(x)| \leq M.

Geometric Meaning

The geometric meaning of the boundedness theorem is that the graph of a continuous function on a closed interval is “sandwiched” between two horizontal lines.

More precisely:

  • An upper bound exists: the function values never exceed some upper limit
  • A lower bound exists: the function values never drop below some lower limit
  • The graph is confined to a horizontal band

Proof Strategy

Proof by Contradiction

  1. Assume the function is unbounded

    • Assume the function f(x)f(x) is unbounded on [a,b][a, b]
  2. Construct a sequence

    • For every positive integer nn, there exists xn∈[a,b]x_n \in [a, b] with ∣f(xn)∣>n|f(x_n)| > n
  3. Use the fact that a bounded sequence has a convergent subsequence

    • The sequence {xn}\{x_n\} is bounded, so it has a convergent subsequence {xnk}\{x_{n_k}\}
    • Let lim⁡k→∞xnk=x0∈[a,b]\lim_{k \to \infty} x_{n_k} = x_0 \in [a, b]
  4. Use continuity

    • Since f(x)f(x) is continuous at x0x_0
    • lim⁡k→∞f(xnk)=f(x0)\lim_{k \to \infty} f(x_{n_k}) = f(x_0)
  5. Derive a contradiction

    • But ∣f(xnk)∣>nk→∞|f(x_{n_k})| > n_k \to \infty
    • This contradicts f(xnk)→f(x0)f(x_{n_k}) \to f(x_0)
  6. Conclusion

    • The assumption fails, so the function must be bounded

Applied Examples

Example 1: Polynomial Function

Problem: prove that the function f(x)=x2f(x) = x^2 is bounded on [0,2][0, 2].

Solution:

  • The function f(x)=x2f(x) = x^2 is continuous on [0,2][0, 2]
  • By the boundedness theorem, the function is bounded
  • In fact, for x∈[0,2]x \in [0, 2], we have 0≤f(x)=x2≤40 \leq f(x) = x^2 \leq 4
  • Hence we may take M=4M = 4

Example 2: Trigonometric Function

Problem: prove that the function f(x)=sin⁡xf(x) = \sin x is bounded on [0,π][0, \pi].

Solution:

  • The function f(x)=sin⁡xf(x) = \sin x is continuous on [0,π][0, \pi]
  • By the boundedness theorem, the function is bounded
  • In fact, for x∈[0,π]x \in [0, \pi], we have 0≤f(x)=sin⁡x≤10 \leq f(x) = \sin x \leq 1
  • Hence we may take M=1M = 1

Example 3: Counterexample (Open Interval)

Problem: is the function f(x)=1xf(x) = \frac{1}{x} bounded on (0,1](0, 1]?

Solution:

  • The function is continuous on (0,1](0, 1]
  • But (0,1](0, 1] is not a closed interval
  • As x→0+x \to 0^+, f(x)→+∞f(x) \to +\infty
  • Therefore the function is unbounded
  • Note: the boundedness theorem applies only to closed intervals

Points to Note

1. The Interval Must Be Closed

The boundedness theorem applies only to closed intervals; for open or half-open intervals the conclusion need not hold.

Counterexample:

  • f(x)=1xf(x) = \frac{1}{x} is unbounded on (0,1](0, 1]
  • f(x)=xf(x) = x is bounded on (0,1)(0, 1) but has no maximum value

2. The Function Must Be Continuous

If the function is not continuous on the closed interval, the boundedness theorem does not apply.

Counterexample:

  • f(x)={1x,0<x≤10,x=0f(x) = \begin{cases} \frac{1}{x}, & 0 < x \leq 1 \\ 0, & x = 0 \end{cases} is not continuous and is unbounded on [0,1][0, 1]

3. Bounded Does Not Mean Attaining Extrema

The boundedness theorem only guarantees that the function is bounded; it does not guarantee that a maximum and a minimum value are attained.

Example:

  • f(x)=xf(x) = x is bounded on (0,1)(0, 1) (that is, 0<f(x)<10 < f(x) < 1)
  • But it cannot attain the supremum 1 or the infimum 0

Exercises

Exercise 1

Prove that the function f(x)=x2−2x+1f(x) = x^2 - 2x + 1 is bounded on [0,3][0, 3].

continuity on a closed intervalextreme value theoremintermediate value theorem

Approach: Use the boundedness theorem.

Steps:

  1. The function f(x)=x2−2x+1f(x) = x^2 - 2x + 1 is a polynomial function
  2. A polynomial function is continuous on any closed interval
  3. Therefore f(x)f(x) is continuous on [0,3][0, 3]
  4. By the boundedness theorem, f(x)f(x) is bounded on [0,3][0, 3]

Answer: The function is bounded on [0,3][0, 3].

Exercise 2

Give an example of a function that is continuous but unbounded on [0,1)[0, 1), and explain why.

continuity on a closed intervalextreme value theoremintermediate value theorem

Approach: Use the interval requirement of the boundedness theorem.

Steps:

  1. Take f(x)=11−xf(x) = \frac{1}{1 - x}, x∈[0,1)x \in [0, 1)
  2. f(x)f(x) is continuous on [0,1)[0, 1), but as x→1−x \to 1^-, f(x)→+∞f(x) \to +\infty
  3. Therefore f(x)f(x) is unbounded on [0,1)[0, 1)
  4. Note: the boundedness theorem applies only to closed intervals

Answer: f(x)=11−xf(x) = \frac{1}{1 - x} is continuous but unbounded on [0,1)[0, 1).

Exercise 3

Let f(x)f(x) be continuous on [a,b][a, b]. Show whether f(x)f(x) is necessarily bounded.

continuity on a closed intervalextreme value theoremintermediate value theorem

Approach: Apply the boundedness theorem directly.

Steps:

  1. By the boundedness theorem, a function continuous on a closed interval must be bounded
  2. Therefore f(x)f(x) is necessarily bounded

Answer: It is necessarily bounded.


Summary

Symbols Used in This Article

SymbolTypePronunciation/ExplanationMeaning in This Article
[a,b][a, b]Intervalclosed interval a to bThe closed interval on which the function is assumed continuous
f(x)f(x)Mathematical symbolf of xThe continuous function whose boundedness the theorem asserts
MMConstantcapital MThe positive constant that bounds every value of the function on [a,b][a, b]
∣f(x)∣\lvert f(x)\rvertMathematical symbolabsolute value of f of xThe magnitude of the function value, taken so that one bound works above and below
≤\leqMathematical symbolless than or equal toThe relation saying the function stays inside the horizontal band
{xn}\{x_n\}Mathematical symbolsequence x-sub-nThe sequence of points chosen in the proof to make the function values unbounded
xnkx_{n_k}Mathematical symbolx-sub-n-sub-kA term of the convergent subsequence extracted from {xn}\{x_n\}
x0x_0Mathematical symbolx-sub-zeroThe point of [a,b][a, b] to which that subsequence converges
n,kn, kMathematical symboln, kThe index of the original sequence and of the subsequence
∞\inftyMathematical symbolinfinityThe quantity the absolute function values are forced to approach
π\piGreek letterPi (pi)The right endpoint of the interval in the trigonometric example

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