Continuity, IVT, EVT, and Uniform Continuity
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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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✓ 17 results · all verified · 11 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 6 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.
1 · Prerequisites
Real Analysis
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Countability and Uncountability
- Foundations of the Real Numbers for Analysis
- Limits of Real Functions
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Suprema and Infima
- Topology of ℝ
Set Theory
2 · Logical flowchart
3 · Items
Definition
Continuity of f : A → ℝ at a point of A and on A: the ε-δ condition, its agreement with lim_x → c f(x) = f(c) at a limit point, and continuity at an isolated point
Theorem
f is continuous at c ∈ A if and only if f(xₖ) → f(c) for every sequence in A converging to c, the converse direction costing countable choice
Theorem
Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function
Theorem
A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs
Theorem
f : A → ℝ is continuous on A if and only if the preimage of every open subset of ℝ is the intersection with A of an open subset of ℝ, and dually for closed sets
Theorem
The image of a compact subset of ℝ under a continuous real function is compact
Corollary
A continuous real function on a compact subset of ℝ is bounded
Theorem
Extreme value theorem: a continuous real function on a nonempty compact subset of ℝ attains a greatest and a least value
Theorem
Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on [a,b] takes every value between f(a) and f(b)
Corollary
The image of an interval under a continuous real function is order-convex, hence an interval, and the image of a closed bounded interval is a closed bounded interval
Theorem
Every continuous map of a closed bounded interval into itself has a fixed point
Lemma
A function on an interval satisfying f(x) ≤ f(y) whenever x ≤ y, whose image is order-convex, is continuous
Definition
Uniform continuity of f : A → ℝ: one δ serving every pair of points of A
Lemma
Dictionary: for A ⊆ ℝ with the metric d(x,y) = |x-y|, continuity and uniform continuity of f : A → ℝ agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of ℝ is compact in the open-cover sense of ℝ exactly when it is a compact metric subspace
Theorem
Heine-Cantor in ℝ: a continuous real function on a compact subset of ℝ is uniformly continuous
Corollary
A uniformly continuous real function on a subset D ⊆ ℝ extends uniquely to a uniformly continuous function on the closure of D
Theorem
If |f(x) - f(y)| ≤ C|x-y|^α on an interval for some rational α > 1 then f is constant
Theorem
Rudin 4.20, the sharp converse: on a noncompact E ⊆ ℝ there is an unbounded continuous function and a bounded continuous function with no greatest value, and if E is bounded there is a continuous function on E that is not uniformly continuous
False statement
FALSE: every continuous real function is uniformly continuous on its domain
False statement
FALSE: the image of a closed subset of ℝ under a continuous real function is closed
False statement
FALSE: a continuous real function on a bounded domain attains a greatest value
Sources
- Continuous function (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4
- J. Lebl, Basic Analysis I, §3.2
- E. Zakon, Mathematical Analysis, §4.1: Basic Definitions
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.2)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.4, 4.9)
- MIT 18.100B lecture notes
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.7)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.8)
- D. Ernst, Continuous Real Functions
- Compact space (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.14)
- J. Lebl, Basic Analysis I, §3.3
- W. Trench, Introduction to Real Analysis, Ch. 8: Metric Spaces
- Extreme value theorem (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.15)
- Compact space (Encyclopedia of Mathematics)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.16)
- Intermediate value theorem (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.23)
- E. Zakon, Mathematical Analysis, §4.9: The Intermediate Value Property
- Brouwer fixed-point theorem (Wikipedia)
- K. Conrad, The Contraction Mapping Theorem
- Monotonic function (Wikipedia)
- Uniform continuity (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Def. 4.18)
- J. Lebl, Basic Analysis I, §3.4
- J. Lebl, Basic Analysis I, §3.3: Uniform continuity
- Metric space (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 2 and Ch. 4
- Heine-Cantor theorem (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.19)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Exercise 4.13)
- MIT 18.100, Practice Final 3
- Hölder condition (Wikipedia)
- Lipschitz continuity (Wikipedia)
- Cornell numerical methods notes: Calculus
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Thm 4.20)
- W. Rudin, Principles of Mathematical Analysis
- Closed set (Wikipedia)
- University of Edinburgh, The Extreme Value Theorem