Skip to content
Back to exploration
Mathematical modeling / English

Uniform Continuity: An Introduction

Mike, the Mathematician · YouTube · 6:42

Open original
READ & KEEP

The explanation, unpacked.

Saves 0

Reviewed learning material · Video analysis · English
Read the full overview

This video introduces the formal epsilon-delta definition of uniform continuity for a function mapping a set E to the real numbers. The instructor explains that delta must depend only on epsilon, not on the specific points x and y in the domain. To illustrate the concept, the video provides a complete proof that any linear function of the form f(x)f(x) = mx + b is uniformly continuous on the entire set of real numbers. Finally, the instructor begins to discuss the logical negation of the definition as a necessary step for identifying functions that are not uniformly continuous. This 160-second whiteboard excerpt develops the logical negation of uniform continuity and turns it into a practical sequence test. After contrasting the usual ε–δ definition with 'there exists ε₀>0 such that for every δ>0δ>0 one can find x,y∈Ey\in E with |x-y|<δ but |f(x)−f(y)f(x)-f(y)|≥ε₀', the lecturer specializes to δ=1/nδ=1/n and obtains the criterion that non-uniform continuity can be witnessed by two sequences whose inputs approach each other while their images remain separated by at least ε₀. The clip then begins the standard example f(x)=xf(x)=x² on ℝ, choosing yn=ny_n=n and revising xnx_n from n+1/nn+1/n to n+2/nn+2/n so that |xn−ynx_n-y_n|=2/n→02/n\to 0. The final verification of |xnx_n²-y_n²|≥ε₀ is not completed within this excerpt. This 82-second whiteboard segment presents uniform continuity through a color-coded board and a fully worked counterexample. The top green line gives the epsilon-delta definition for f:E→R. A pink example verifies that affine functions f(x)f(x)=mx+b are uniformly continuous on R by choosing δ=εδ=ε/|m|. The yellow middle section states the negation of uniform continuity and its sequential form obtained by taking δ=1/nδ=1/n. The main live work is in purple: the lecturer chooses xn=n+1/(2n)x_n=n+1/(2n) and yn=ny_n=n, computes |xn−ynx_n-y_n|=1/(2n)<1/n1/(2n)<1/n, expands |xn2−yn2x_n^2-y_n^2| to 1+1/(4n2)>11+1/(4n^2)>1, and concludes that f(x)=x2f(x)=x^2 is not uniformly continuous on R. The audio from 00:00 to 01:09 narrates the algebra and the final logical implication, then ends with thanks while the completed board remains on screen.

Use the learning inspector for key ideas and moments, or open the reading tabs for the complete notes.

Chapters

0:00Introduction0:10Definition of Uniform Continuity1:00Example: Linear Functions2:20Logical Negation and Non-Examples2:40Negation of uniform continuity3:20Sequential criterion via δ=1/nδ=1/n4:26Example setup: f(x)=xf(x)=x² on ℝ5:20Completed setup: definition, negation, and chosen sequences for x2x^25:32Computing |xn2−yn2x_n^2-y_n^2| for the counterexample5:43Expanding (n+1/(2n)n+1/(2n))^2 and simplifying6:04Canceling n2n^2 and obtaining 1+1/(4n2)>11+1/(4n^2)>16:16Verbal conclusion: x2x^2 is not uniformly continuous on R6:31Closing thanks with the finished board still visible

Learning script

Generated from the video's visuals and explanation; not verbatim speech.

The video opens with a title card for "Uniform Continuity: An Introduction" by Michael Dabkowski, Ph.D., followed by the instructor greeting the audience.

The instructor writes the formal definition of uniform continuity on a lightboard. He states that a function f:E→Rf: E \to \mathbb{R} is uniformly continuous on EE if for every ε>0\varepsilon > 0, there exists a δ>0\delta > 0 such that ∣x−y∣<δ|x - y| < \delta implies ∣f(x)−f(y)∣<ε|f(x) - f(y)| < \varepsilon for all x,y∈Ex, y \in E. This emphasizes that δ\delta is chosen independently of the specific points xx and yy.

To demonstrate the definition, the instructor presents an example: proving that a linear function f(x)=mx+bf(x) = mx + b is uniformly continuous on the set of all real numbers R\mathbb{R}. He writes out the proof step-by-step. First, he lets ε>0\varepsilon > 0 be given and chooses δ=ε∣m∣\delta = \frac{\varepsilon}{|m|}. (Note: He initially writes δ=εm\delta = \frac{\varepsilon}{m} but verbally corrects himself to use the absolute value of mm to account for negative slopes). Next, he assumes ∣x−y∣<δ|x - y| < \delta and evaluates the difference in function values: ∣(mx+b)−(my+b)∣=∣m(x−y)∣=∣m∣∣x−y∣|(mx + b) - (my + b)| = |m(x - y)| = |m||x - y|. Since ∣x−y∣<δ|x - y| < \delta, it follows that ∣m∣∣x−y∣<∣m∣δ=∣m∣(ε∣m∣)=ε|m||x - y| < |m|\delta = |m|\left(\frac{\varepsilon}{|m|}\right) = \varepsilon. He concludes by pointing out that no assumptions were made about xx and yy, meaning the condition holds for all real numbers, thus proving uniform continuity.

Finally, the instructor transitions to discussing how to find functions that are not uniformly continuous. He explains that this requires examining the logical negation of the definition of uniform continuity, beginning to write "f fails to be uniformly continuous" on the board before the clip ends.

The board already shows the standard definition of uniform continuity in green: for every ε>0ε>0 there is δ>0δ>0 such that |x-y|<δ implies |f(x)−f(y)f(x)-f(y)|<ε for all x,y∈Ey\in E. Directly below it, the lecturer writes the negation in yellow: f fails to be uniformly continuous on E if there exists ε₀>0 such that for every δ>0δ>0 one can find x,y∈Ey\in E with |x-y|<δ but |f(x)−f(y)f(x)-f(y)|≥ε₀. The key change is the reversal of quantifiers: one fixed positive ε₀ defeats all possible δ.

He then converts that quantifier statement into a sequence test. Since the negated condition must hold for every δ>0δ>0, choose δ=1/nδ=1/n for each natural number n. For each n, the negation supplies a pair xnx_n,yn∈Ey_n\in E with |xn−ynx_n-y_n|<1/n1/n and |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀. Collecting these pairs gives two sequences whose inputs become arbitrarily close while their images stay separated by the same positive amount ε₀. This is the practical criterion the lecturer will use to disprove uniform continuity.

Next comes the example f(x)=xf(x)=x² on ℝ. To apply the sequence criterion, he chooses yn=ny_n=n. He first writes xn=n+1/nx_n=n+1/n, then revises it to xn=n+2/nx_n=n+2/n, explaining that the change does not affect the argument. With the revised choice, |xn−ynx_n-y_n|=2/n2/n, which tends to 0. The clip stops after this setup; the remaining task would be to compute |xnx_n²-y_n²| and show it is bounded below by some fixed ε₀>0, thereby certifying that x² is not uniformly continuous on ℝ.

The board is already organized into four mathematical layers. At the top, the green definition states that f:E→Rf:E\to\mathbb R is uniformly continuous on EE if for every ε>0\varepsilon>0 there exists δ>0\delta>0 such that ∣x−y∣<δ|x-y|<\delta implies ∣f(x)−f(y)∣<ε|f(x)-f(y)|<\varepsilon for all x,y∈Ex,y\in E. Below it, the pink example treats f(x)=mx+bf(x)=mx+b on R\mathbb R and chooses δ=ε/∣m∣\delta=\varepsilon/|m|, yielding ∣mx+b−(my+b)∣=∣m∣∣x−y∣<∣m∣δ=ε|mx+b-(my+b)|=|m||x-y|<|m|\delta=\varepsilon. In yellow, the clip records the negation: failure of uniform continuity means there is some fixed ε0>0\varepsilon_0>0 such that for every δ>0\delta>0 one can find points within δ\delta whose images differ by at least ε0\varepsilon_0. The same yellow line then rewrites this with δ=1/n\delta=1/n as a sequence criterion.

The live work in purple completes the counterexample for f(x)=x2f(x)=x^2 on R\mathbb R. The lecturer has chosen xn=n+12nx_n=n+\frac{1}{2n} and yn=ny_n=n. First he checks the input separation: ∣xn−yn∣=∣(n+12n)−n∣=12n<1n|x_n-y_n|=\left|\left(n+\frac{1}{2n}\right)-n\right|=\frac{1}{2n}<\frac{1}{n}. This is exactly the type of estimate required by the sequence criterion, because the inputs can be made arbitrarily close as nn grows.

Next he studies the output separation for the squaring map. He writes ∣xn2−yn2∣=∣(n+12n)2−n2∣|x_n^2-y_n^2|=\left|\left(n+\frac{1}{2n}\right)^2-n^2\right| and expands the square. The middle term comes from 2⋅n⋅12n=12\cdot n\cdot \frac{1}{2n}=1, and the last term is 14n2\frac{1}{4n^2}. Therefore (n+12n)2=n2+1+14n2\left(n+\frac{1}{2n}\right)^2=n^2+1+\frac{1}{4n^2}.

Subtracting yn2=n2y_n^2=n^2 cancels the n2n^2 terms, leaving ∣xn2−yn2∣=1+14n2|x_n^2-y_n^2|=1+\frac{1}{4n^2}. Since 14n2>0\frac{1}{4n^2}>0, this is strictly larger than 11 for every nn. Thus the outputs never get close to each other, even though the inputs do.

The lecturer then connects the algebra back to the logical criterion on the board. Taking ε0=1\varepsilon_0=1, the sequences satisfy ∣xn−yn∣<1/n|x_n-y_n|<1/n while ∣xn2−yn2∣≥ε0|x_n^2-y_n^2|\ge \varepsilon_0. This matches the yellow negation statement and proves that x2x^2 is not uniformly continuous on R\mathbb R. The final seconds contain only a spoken sign-off while the completed board remains visible.

Knowledge cards

01

Definition of Uniform Continuity

A function f:E→Rf: E \to \mathbb{R} is uniformly continuous on EE if for every ε>0\varepsilon > 0, there exists a δ>0\delta > 0 such that for all x,y∈Ex, y \in E, ∣x−y∣<δ|x - y| < \delta implies ∣f(x)−f(y)∣<ε|f(x) - f(y)| < \varepsilon. Crucially, δ\delta depends only on ε\varepsilon, not on the specific points xx and yy.

∀ε>0,∃δ>0 s.t. ∣x−y∣<δ  ⟹  ∣f(x)−f(y)∣<ε for all x,y∈E\forall \varepsilon > 0, \exists \delta > 0 \text{ s.t. } |x - y| < \delta \implies |f(x) - f(y)| < \varepsilon \text{ for all } x, y \in E
02

Example: Linear Functions are Uniformly Continuous

Any linear function f(x)=mx+bf(x) = mx + b is uniformly continuous on R\mathbb{R}. The proof involves choosing δ=ε∣m∣\delta = \frac{\varepsilon}{|m|} for a given ε>0\varepsilon > 0. Then, for any x,y∈Rx, y \in \mathbb{R} with ∣x−y∣<δ|x - y| < \delta, we have ∣f(x)−f(y)∣=∣m(x−y)∣=∣m∣∣x−y∣<∣m∣δ=ε|f(x) - f(y)| = |m(x - y)| = |m||x - y| < |m|\delta = \varepsilon.

∣f(x)−f(y)∣=∣m∣∣x−y∣<∣m∣δ=ε|f(x) - f(y)| = |m||x - y| < |m|\delta = \varepsilon
03

Logical Negation for Non-Examples

To prove a function is not uniformly continuous, one must use the logical negation of the definition. This means showing there exists an ε>0\varepsilon > 0 such that for all δ>0\delta > 0, there are points x,yx, y in the domain where ∣x−y∣<δ|x - y| < \delta but ∣f(x)−f(y)∣≥ε|f(x) - f(y)| \ge \varepsilon.

04

Negation of uniform continuity

The video writes the exact logical opposite of the ε–δ definition of uniform continuity. A function f:E→R is not uniformly continuous on E if there is one fixed ε₀>0 such that no matter how small δ>0δ>0 is chosen, some pair x,y∈Ey\in E satisfies |x-y|<δ while |f(x)−f(y)f(x)-f(y)|≥ε₀. The important structural point is that ε₀ is chosen once and for all, whereas the witnessing pair may depend on δ.

∃ε0>0 s.t. ∀δ>0, ∣x−y∣<δ⇒∣f(x)−f(y)∣≥ε0, ∃x,y∈E\exists \varepsilon_0>0\ \text{s.t.}\ \forall \delta>0,\ |x-y|<\delta \Rightarrow |f(x)-f(y)|\ge \varepsilon_0,\ \exists x,y\in E
05

Sequence criterion for failure of uniform continuity

By instantiating the negation with δ=1/nδ=1/n, the lecturer obtains a usable test: f is not uniformly continuous on E if there exist ε₀>0 and sequences {xnx_n},{yny_n}⊂E such that |xn−ynx_n-y_n|<1/n1/n but |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀ for every n. Intuitively, the inputs can be made arbitrarily close while the outputs remain a fixed distance apart.

∃ε0>0, ∃{xn},{yn}⊂E: ∣xn−yn∣<1n, ∣f(xn)−f(yn)∣≥ε0\exists \varepsilon_0>0,\ \exists \{x_n\},\{y_n\}\subset E:\ |x_n-y_n|<\frac1n,\ |f(x_n)-f(y_n)|\ge \varepsilon_0
06

Example setup: x² on ℝ

The lecturer introduces f(x)=xf(x)=x² as the standard example of a function that is not uniformly continuous on all of ℝ. He begins constructing the required sequences by taking yn=ny_n=n and, after a revision, xn=n+2/nx_n=n+2/n. This gives |xn−ynx_n-y_n|=2/n→02/n\to 0, matching the first half of the sequence criterion. The clip ends before the second inequality |xnx_n²-y_n²|≥ε₀ is verified.

f(x)=x2,yn=n,xn=n+2nf(x)=x^2,\quad y_n=n,\quad x_n=n+\frac2n
07

Definition of uniform continuity

A function f:E→Rf:E\to\mathbb R is uniformly continuous on EE when one δ\delta works for all pairs of points in EE at once: for every ε>0\varepsilon>0 there exists δ>0\delta>0 such that ∣x−y∣<δ|x-y|<\delta implies ∣f(x)−f(y)∣<ε|f(x)-f(y)|<\varepsilon for all x,y∈Ex,y\in E. This is stronger than ordinary continuity because δ\delta cannot depend on the chosen point.

∀ε>0 ∃δ>0 s.t. ∣x−y∣<δ⇒∣f(x)−f(y)∣<ε∀x,y∈E\forall \varepsilon>0\ \exists \delta>0\ \text{s.t.}\ |x-y|<\delta \Rightarrow |f(x)-f(y)|<\varepsilon\quad \forall x,y\in E
08

Negating uniform continuity

To show that ff is not uniformly continuous, it suffices to find one fixed output tolerance ε0>0\varepsilon_0>0 such that no input tolerance works globally: for every δ>0\delta>0 there are points x,yx,y with ∣x−y∣<δ|x-y|<\delta but ∣f(x)−f(y)∣≥ε0|f(x)-f(y)|\ge \varepsilon_0. The board presents this as the logical opposite of the definition.

∃ε0>0 ∀δ>0 ∃x,y∈E with ∣x−y∣<δ and ∣f(x)−f(y)∣≥ε0\exists \varepsilon_0>0\ \forall \delta>0\ \exists x,y\in E\ \text{with}\ |x-y|<\delta\ \text{and}\ |f(x)-f(y)|\ge \varepsilon_0
09

Sequence criterion for failure

By setting δ=1/n\delta=1/n, the negated condition becomes sequential: there exist two sequences {xn}\{x_n\} and {yn}\{y_n\} in the domain such that ∣xn−yn∣<1/n|x_n-y_n|<1/n while ∣f(xn)−f(yn)∣≥ε0|f(x_n)-f(y_n)|\ge \varepsilon_0 for some fixed ε0>0\varepsilon_0>0. This is the practical tool used in the rest of the clip.

∃ε0>0 ∃{xn},{yn}⊂E such that ∣xn−yn∣<1n and ∣f(xn)−f(yn)∣≥ε0\exists \varepsilon_0>0\ \exists \{x_n\},\{y_n\}\subset E\ \text{such that}\ |x_n-y_n|<\frac1n\ \text{and}\ |f(x_n)-f(y_n)|\ge \varepsilon_0
10

Affine functions are uniformly continuous on R

For f(x)=mx+bf(x)=mx+b, the difference of outputs is controlled linearly by the difference of inputs: ∣mx+b−(my+b)∣=∣m∣∣x−y∣|mx+b-(my+b)|=|m||x-y|. Choosing δ=ε/∣m∣\delta=\varepsilon/|m| makes this less than ε\varepsilon whenever ∣x−y∣<δ|x-y|<\delta. The board's written proof implicitly assumes m≠0m\neq 0 because of the division by ∣m∣|m|.

∣mx+b−(my+b)∣=∣m∣∣x−y∣<∣m∣δ=ε,δ=ε/∣m∣|mx+b-(my+b)|=|m||x-y|<|m|\delta=\varepsilon,\quad \delta=\varepsilon/|m|
11

Counterexample setup for x2x^2

To disprove uniform continuity of f(x)=x2f(x)=x^2 on R\mathbb R, the lecturer chooses xn=n+12nx_n=n+\frac{1}{2n} and yn=ny_n=n. These points move farther out along the real line while staying very close to each other, which is the key mechanism behind the failure.

xn=n+12n,yn=nx_n=n+\frac{1}{2n},\qquad y_n=n
12

Input distance in the x2x^2 counterexample

The chosen sequences satisfy ∣xn−yn∣=12n<1n|x_n-y_n|=\frac{1}{2n}<\frac{1}{n}. Hence the inputs become arbitrarily close as nn increases, fulfilling the left-hand requirement of the sequence criterion for non-uniform continuity.

∣xn−yn∣=∣(n+12n)−n∣=12n<1n|x_n-y_n|=\left|\left(n+\frac{1}{2n}\right)-n\right|=\frac{1}{2n}<\frac{1}{n}
13

Output distance computation for x2x^2

The output difference is ∣xn2−yn2∣=∣(n+12n)2−n2∣|x_n^2-y_n^2|=\left|\left(n+\frac{1}{2n}\right)^2-n^2\right|. Expanding the square gives n2+1+14n2n^2+1+\frac{1}{4n^2}, so after subtracting n2n^2 the result is 1+14n21+\frac{1}{4n^2}, which is always greater than 11.

∣xn2−yn2∣=∣(n+12n)2−n2∣=1+14n2>1|x_n^2-y_n^2|=\left|\left(n+\frac{1}{2n}\right)^2-n^2\right|=1+\frac{1}{4n^2}>1
14

Conclusion: x2x^2 is not uniformly continuous on R

Taking ε0=1\varepsilon_0=1, the sequences satisfy ∣xn−yn∣<1/n|x_n-y_n|<1/n but ∣xn2−yn2∣≥ε0|x_n^2-y_n^2|\ge \varepsilon_0. This exactly matches the sequence criterion for failure of uniform continuity, so f(x)=x2f(x)=x^2 is not uniformly continuous on R\mathbb R.

Detailed learning notes

Explore conditions, steps and evidence. Supplementary explanations are labeled separately from content shown in the video.

Symbols · 24

f

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Written as f in the definition and example.

Symbol

f

Meaning

A function mapping a set E to the real numbers.

Domain

Functions from E to R

E

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Written as E in the definition.

Symbol

E

Meaning

The domain set on which the function f is defined and evaluated for uniform continuity.

Domain

Subsets of R

R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Written as R in the definition and example.

Symbol

R

Meaning

The set of real numbers.

Domain

Real numbers

ε\varepsilon

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Written as epsilon in the definition and proof.

Symbol

ε\varepsilon

Meaning

An arbitrary positive real number representing the tolerance for the difference in function values.

Domain

(0, ∞\infty)

δ\delta

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Written as delta in the definition and proof.

Symbol

δ\delta

Meaning

A positive real number representing the tolerance for the difference in input values.

Domain

(0, ∞\infty)

x, y

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Written as x and y in the definition and proof.

Symbol

x, y

Meaning

Arbitrary elements of the domain set E (or R in the example).

Domain

Elements of E or R

m, b

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Written as m and b in the example f(x)f(x) = mx + b.

Symbol

m, b

Meaning

Constants defining a linear function, where m is the slope and b is the y-intercept.

Domain

Real numbers

f:E→R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pre-written board text defines f:E→R and uses ε>0ε>0, δ>0δ>0, |x-y|<δ ⇒ |f(x)−f(y)f(x)-f(y)|<ε for all x,y∈Ey\in E.

  2. Audio
    Observation

    The lecturer reads the negation aloud as 'there is epsilon zero greater than zero such that for all delta greater than zero ... for some x and y in the set'.

Symbol

f:E→R

Meaning

Function from a set E to the real numbers.

Domain

E is the domain subset under discussion; codomain is R.

ε₀

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow line writes ∃ ε₀>0.

  2. Audio
    Observation

    'epsilon zero greater than zero'.

Symbol

ε₀

Meaning

A fixed positive tolerance witnessing failure of uniform continuity.

Domain

ε₀∈(0,∞\infty ).

δ

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow line writes 'for all δ>0δ>0'.

  2. Audio
    Observation

    'for all delta greater than zero'.

Symbol

δ

Meaning

Arbitrary positive distance threshold in the negated statement.

Domain

δ∈(0,∞)δ\in (0,\infty ).

{xnx_n}, {yny_n}

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow line writes sequences {xnx_n} and {yny_n} with |xn−ynx_n-y_n|<1/n1/n and |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀.

  2. Audio
    Observation

    'a pair of sequences xnx_n and yny_n ... with their difference less than one over n, and f(xn)−f(yn)f(x_n)-f(y_n) bigger than or equal to epsilon zero'.

Symbol

{xnx_n}, {yny_n}

Meaning

Sequences used to convert the quantified negation into a sequential test.

Domain

Each xnx_n,yn∈Ey_n\in E (the lecturer verbally notes the general negation first says 'some x and y in R', then specializes to sequences in E).

f(x)=xf(x)=x²

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink line writes Ex: f(x)=xf(x)=x² is not uniformly continuous on ℝ.

  2. Audio
    Observation

    'Example f of x which is x squared is not uniformly continuous on R'.

Symbol

f(x)=xf(x)=x²

Meaning

Concrete example function for which uniform continuity on ℝ will be disproved.

Domain

f:ℝ→ℝ.

Knowledge points · 9

Definition of Uniform Continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Def: We say that f: E -> R is uniformly continuous on E if for every epsilon > 0 there is delta > 0 s.t. |x - y| < delta implies |f(x)−f(y)f(x) - f(y)| < epsilon for all x, y in E.

Definition
Explanation

A function f mapping a set E to the real numbers is uniformly continuous on E if, for every positive epsilon, there exists a positive delta such that the absolute difference between any two points x and y in E being less than delta guarantees that the absolute difference between their function values f(x)f(x) and f(y)f(y) is less than epsilon.

Formula
∀ε>0,∃δ>0 s.t. ∣x−y∣<δ  ⟹  ∣f(x)−f(y)∣<ε for all x,y∈E\forall \varepsilon > 0, \exists \delta > 0 \text{ s.t. } |x - y| < \delta \implies |f(x) - f(y)| < \varepsilon \text{ for all } x, y \in E
Conditions
  1. f: E→RE \to \mathbb{R}

  2. ε>0\varepsilon > 0

  3. δ>0\delta > 0

  4. x, y∈Ey \in E

Logical Negation of Uniform Continuity

Clear evidence
Shown in the video
Evidence
  1. Audio
    Observation

    Speaker states: 'Now to find an example of a function which is not uniformly continuous we need to do the following. So let me look at the logical negation of this statement over here.'

  2. Formula
    Observation

    Written as: f fails to be uniformly continuous

Uncertainties
  1. The full logical negation formula is not completed on the board within the provided clip.

Method
Explanation

To prove that a function is not uniformly continuous, one must analyze and utilize the logical negation of the formal definition of uniform continuity.

Formula
Prerequisites
  1. Definition of Uniform Continuity

Negation of uniform continuity on E

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow text: 'f fails to be uniformly continuous on E if there is ∃ ε₀>0 s.t. ∀ δ>0δ>0, |x-y|<δ ⇒ |f(x)−f(y)f(x)-f(y)|≥ε₀, ∃ x,y∈Ey\in E'.

  2. Audio
    Observation

    Lecturer states the same negation in words.

Definition
Explanation

The video explicitly writes the logical negation of the uniform-continuity definition. Instead of requiring every ε>0ε>0 to admit some δ>0δ>0 that works uniformly for all pairs in E, failure means there exists one positive ε₀ such that no matter how small δ>0δ>0 is chosen, one can still find a pair x,y∈Ey\in E with |x-y|<δ but |f(x)−f(y)f(x)-f(y)|≥ε₀.

Formula
∃ε0>0 s.t. ∀δ>0, ∣x−y∣<δ⇒∣f(x)−f(y)∣≥ε0, ∃x,y∈E\exists \varepsilon_0>0\ \text{s.t.}\ \forall \delta>0,\ |x-y|<\delta \Rightarrow |f(x)-f(y)|\ge \varepsilon_0,\ \exists x,y\in E
Conditions
  1. f:E→R

  2. ε₀>0

  3. δ>0δ>0

  4. x,y∈Ey\in E

Sequential reformulation of failure of uniform continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow text: 'Taking δ=1/nδ=1/n, we can find a pair of sequences {xnx_n} and {yny_n} with |xn−ynx_n-y_n|<1/n1/n, |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀'.

  2. Audio
    Observation

    'if I take a sequence of delta getting small ... taking delta equals one over n ... we can find ... a pair of sequences xnx_n and yny_n ... with their difference less than one over n, and f(xn)−f(yn)f(x_n)-f(y_n) bigger than or equal to epsilon zero'.

Method
Explanation

From the quantified negation, the lecturer derives a practical test: choose δ=1/nδ=1/n for each n, then the negation guarantees a corresponding pair xnx_n,yn∈Ey_n\in E with |xn−ynx_n-y_n|<1/n1/n while |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀. Thus non-uniform continuity can be witnessed by two sequences whose inputs become arbitrarily close but whose images stay separated by at least ε₀.

Formula
∀n, ∃xn,yn∈E: ∣xn−yn∣<1n and ∣f(xn)−f(yn)∣≥ε0\forall n,\ \exists x_n,y_n\in E:\ |x_n-y_n|<\frac1n\ \text{and}\ |f(x_n)-f(y_n)|\ge \varepsilon_0
Conditions
  1. Use the previously stated negation of uniform continuity

  2. Take δ=1/nδ=1/n for each n∈ℕ

Prerequisites
  1. Negation of uniform continuity on E

Example setup: f(x)=xf(x)=x² on ℝ is not uniformly continuous

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink text: 'Ex: f(x)=xf(x)=x² is not uniformly continuous on ℝ.'

  2. Audio
    Observation

    'So here's the example of a function which is not uniformly continuous. Example f of x which is x squared is not uniformly continuous on R.'

Uncertainties
  1. The full verification is not completed within this clip; only the setup and sequence choice are shown.

Formula
Explanation

The lecturer introduces f(x)=xf(x)=x² as the concrete example to which the sequential criterion will be applied. He begins constructing the witnessing sequences by choosing yn=ny_n=n and first xn=n+1/nx_n=n+1/n, then revises to xn=n+2/nx_n=n+2/n so that |xn−ynx_n-y_n|=2/n2/n becomes smaller while still tending to 0.

Formula
f(x)=x2,x∈Rf(x)=x^2,\quad x\in\mathbb{R}
Conditions
  1. Domain is ℝ

  2. Goal is to show failure of uniform continuity using the sequential criterion

Prerequisites
  1. Sequential reformulation of failure of uniform continuity

Definition of uniform continuity on a set E

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Top green line on the board defines uniform continuity: 'We say that f:E→R is uniformly continuous on E if for every ε>0ε>0 there is δ>0sδ>0 s.t. |x-y|<δ ⇒ |f(x)−f(y)f(x)-f(y)|<ε for all x,y∈Ey\in E.'

  2. Audio
    Observation

    The spoken explanation in this clip focuses on the counterexample, while the definition remains visible on the board throughout.

Definition
Explanation

The board gives the standard epsilon-delta definition: a function f from E to R is uniformly continuous on E when one can choose a single δ depending only on ε (not on the particular points) so that any two inputs within δ of each other have outputs within ε of each other.

Formula
∀ε>0 ∃δ>0 s.t. ∣x−y∣<δ⇒∣f(x)−f(y)∣<ε∀x,y∈E\forall \varepsilon>0\ \exists \delta>0\ \text{s.t.}\ |x-y|<\delta \Rightarrow |f(x)-f(y)|<\varepsilon\quad \forall x,y\in E
Conditions
  1. f:E→R

  2. ε>0ε>0

  3. δ>0δ>0

  4. x,y∈Ey\in E

Negation of uniform continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow text states: 'f fails to be uniformly continuous on E if there is ε₀>0 s.t. for all δ>0δ>0, |x-y|<δ ⇒ |f(x)−f(y)f(x)-f(y)|≥ε₀ ∀x,y∈Ry\in R.'

  2. Audio
    Observation

    At 00:56-01:09 the lecturer summarizes the same idea verbally: he found sequences whose difference is less than 1/n1/n but whose squared values differ by at least a fixed ε₀, proving non-uniform continuity.

Uncertainties
  1. The displayed negation line ends with '∀x,y∈Ry\in R' even though the sentence begins 'on E'; the clip does not explain this mismatch.

Definition
Explanation

Failure of uniform continuity is characterized by the existence of a fixed positive output gap ε₀ such that no matter how small a δ is chosen, one can still find two points closer than δ whose images differ by at least ε₀.

Formula
∃ε0>0 ∀δ>0 ∃x,y∈E with ∣x−y∣<δ and ∣f(x)−f(y)∣≥ε0\exists \varepsilon_0>0\ \forall \delta>0\ \exists x,y\in E\ \text{with}\ |x-y|<\delta\ \text{and}\ |f(x)-f(y)|\ge \varepsilon_0
Conditions
  1. ε₀>0

  2. δ>0δ>0

  3. the witness points may depend on δ

Prerequisites
  1. Definition of uniform continuity on a set E

Sequence criterion for failure of uniform continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow line below the negation says: 'Taking δ=1/nδ=1/n, we can find a sequences {xnx_n} and {yny_n} with |xn−ynx_n-y_n|<1/n1/n, |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀.'

  2. Audio
    Observation

    The final spoken summary explicitly uses this sequence formulation to conclude that x2x^2 is not uniformly continuous on R.

Uncertainties
  1. The board writes 'a sequences', apparently a minor wording slip; mathematically it means two sequences {xnx_n} and {yny_n}.

Method
Explanation

By specializing δ to 1/n1/n, the negated epsilon-delta condition can be rewritten as the existence of two sequences whose input distances tend to 0 while their output distances stay bounded below by some fixed ε₀.

Formula
∃ε0>0 ∃{xn},{yn}⊂E such that ∣xn−yn∣<1n and ∣f(xn)−f(yn)∣≥ε0\exists \varepsilon_0>0\ \exists \{x_n\},\{y_n\}\subset E\ \text{such that}\ |x_n-y_n|<\frac1n\ \text{and}\ |f(x_n)-f(y_n)|\ge \varepsilon_0
Conditions
  1. Use the negation of uniform continuity

  2. Choose δ=1/nδ=1/n

  3. The sequences must lie in the domain

Prerequisites
  1. Negation of uniform continuity

Linear functions are uniformly continuous on R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink line states 'Ex f(x)f(x)=mx+b is uniformly continuous on R' and gives the proof sketch choosing δ=εδ=ε/|m|.

  2. Formula
    Observation

    The displayed computation is '|mx+b-(my+b)|=|m||x-y|<|m|δ=εδ=ε'.

Uncertainties
  1. The board does not separately discuss the case m=0m=0, although the formula δ=εδ=ε/|m| implicitly requires m≠0m\ne 0.

Method
Explanation

For f(x)f(x)=mx+b, the output difference is controlled directly by the input difference through the factor |m|, so choosing δ=εδ=ε/|m| makes |f(x)−f(y)f(x)-f(y)|<ε whenever |x-y|<δ.

Formula
∣mx+b−(my+b)∣=∣m∣∣x−y∣<∣m∣δ=εwith δ=ε/∣m∣|mx+b-(my+b)|=|m||x-y|<|m|\delta=\varepsilon\quad\text{with }\delta=\varepsilon/|m|
Conditions
  1. f(x)f(x)=mx+b

  2. domain is R

  3. in the displayed proof, m≠0m\ne 0 because δ=εδ=ε/|m| is used

Prerequisites
  1. Definition of uniform continuity on a set E
Claims and conditions · 4

Characterization of failure of uniform continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Board directly contrasts the pre-written definition with the yellow negation line.

  2. Audio
    Observation

    Lecturer reads the negation as the condition for 'fails to be uniformly continuous on E'.

Proposition
Statement

A function f:E→R fails to be uniformly continuous on E iff there exists ε₀>0 such that for every δ>0δ>0 there are x,y∈Ey\in E with |x-y|<δ and |f(x)−f(y)f(x)-f(y)|≥ε₀.

Hypotheses
  1. f:E→R

Quantifiers

∃ε₀>0 ∀δ>0δ>0 ∃x,y∈Ey\in E

Sequence criterion for non-uniform continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow line states 'Taking δ=1/nδ=1/n, we can find a pair of sequences {xnx_n} and {yny_n} with |xn−ynx_n-y_n|<1/n1/n, |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀'.

  2. Audio
    Observation

    Lecturer explains that showing this condition gives an example of a function that fails to be uniformly continuous on E.

Proposition
Statement

If there exist ε₀>0 and sequences {xnx_n},{yny_n}⊂E such that |xn−ynx_n-y_n|<1/n1/n and |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀ for all n, then f is not uniformly continuous on E.

Hypotheses
  1. f:E→R

  2. ε₀>0

  3. xnx_n,yn∈Ey_n\in E for all n

Quantifiers

∃ε₀>0 ∃{xnx_n},{yny_n} ∀n∈ℕ

The function f(x)=x2f(x)=x^2 is not uniformly continuous on R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Purple heading states 'Ex f(x)=x2f(x)=x^2 is not uniformly continuous on R.'

  2. Audio
    Observation

    At 01:04-01:09 the lecturer says this proves that x2x^2 is not uniformly continuous on the real line.

Proposition
Statement

There exist sequences xn=n+1/(2n)x_n=n+1/(2n) and yn=ny_n=n such that |xn−ynx_n-y_n|<1/n1/n while |xn2−yn2x_n^2-y_n^2|>1, so f(x)=x2f(x)=x^2 fails the uniform continuity condition on R.

Hypotheses
  1. Consider f(x)=x2f(x)=x^2 on R

  2. Use the sequence criterion for failure of uniform continuity

Quantifiers

∃ sequences {xnx_n},{yny_n}⊂R such that ∀n, |xn−ynx_n-y_n|<1/n1/n and |xn2−yn2x_n^2-y_n^2|≥ε₀ for a fixed ε₀ (here one may take ε₀=1).

Every affine function f(x)f(x)=mx+b is uniformly continuous on R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink line asserts 'f(x)f(x)=mx+b is uniformly continuous on R' and displays a direct epsilon-delta proof.

Uncertainties
  1. The displayed proof chooses δ=εδ=ε/|m| without explicitly treating m=0m=0.

Proposition
Statement

For f(x)f(x)=mx+b on R, given ε>0ε>0 one can choose δ=εδ=ε/|m| so that |x-y|<δ implies |f(x)−f(y)f(x)-f(y)|<ε.

Hypotheses
  1. f(x)f(x)=mx+b

  2. domain is R

  3. in the written proof, m≠0m\ne 0 because division by |m| appears

Quantifiers

∀ε>0ε>0 ∃δ>0δ>0 ∀x,y∈Ry\in R, |x-y|<δ ⇒ |f(x)−f(y)f(x)-f(y)|<ε.

Derivations and proofs · 5

Proof that a Linear Function is Uniformly Continuous

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Ex: f(x)f(x) = mx + b is uniformly continuous on R. Pr: Let epsilon > 0 and choose delta = epsilon / m. Then if |x - y| < delta, then |mx + b - (my + b)| = |m||x - y| < |m|delta = epsilon.

Uncertainties
  1. The speaker verbally corrects the choice of delta to include absolute value around m, but initially writes delta = epsilon / m.

Proof
Steps
  1. Expression
    Let ε>0 and choose δ=ε∣m∣.\text{Let } \varepsilon > 0 \text{ and choose } \delta = \frac{\varepsilon}{|m|}.
    Explanation

    Set up the proof by choosing a specific delta based on the given epsilon and the slope of the linear function.

    Justification

    Definition of uniform continuity requires finding a delta for any given epsilon.

    Shown in the video
  2. Expression
    If ∣x−y∣<δ, then ∣(mx+b)−(my+b)∣\text{If } |x - y| < \delta, \text{ then } |(mx + b) - (my + b)|
    Explanation

    Evaluate the absolute difference of the function values for arbitrary x and y in R.

    Justification

    Substitution of the function definition f(x)f(x) = mx + b.

    Shown in the video
  3. Expression
    =∣m(x−y)∣=∣m∣∣x−y∣= |m(x - y)| = |m||x - y|
    Explanation

    Simplify the expression by factoring out m and applying the property of absolute values.

    Justification

    Algebraic manipulation and properties of absolute value.

    Shown in the video
  4. Expression
    <∣m∣δ=∣m∣(ε∣m∣)=ε< |m|\delta = |m|\left(\frac{\varepsilon}{|m|}\right) = \varepsilon
    Explanation

    Apply the assumption |x - y| < delta and substitute the chosen value of delta to show the result is strictly less than epsilon.

    Justification

    Inequality properties and substitution.

    Shown in the video
Conclusion

The linear function f(x)f(x) = mx + b satisfies the definition of uniform continuity on the set of all real numbers R.

Deriving the sequential witness from the negated definition

Clear evidence
Shown in the video
Evidence
  1. Audio
    Observation

    'And so what this implies, if I take a sequence of delta getting small ... taking delta equals one over n ... we can find ... a pair of sequences xnx_n and yny_n ...'

  2. Formula
    Observation

    Yellow board line records the resulting sequence condition.

Proof
Steps
  1. Expression
    Explanation

    Start from the negation of uniform continuity: there is ε₀>0 such that for every δ>0δ>0 one can find x,y∈Ey\in E with |x-y|<δ and |f(x)−f(y)f(x)-f(y)|≥ε₀.

    Justification

    This is the definition written immediately above on the board.

    Shown in the video
  2. Expression
    δ=1n\delta=\frac1n
    Explanation

    Choose a specific decreasing family of tolerances δ=1/nδ=1/n, one for each natural number n.

    Justification

    Since the negated statement holds for all δ>0δ>0, it holds in particular for δ=1/nδ=1/n.

    Shown in the video
  3. Expression
    ∃xn,yn∈E: ∣xn−yn∣<1n, ∣f(xn)−f(yn)∣≥ε0\exists x_n,y_n\in E:\ |x_n-y_n|<\frac1n,\ |f(x_n)-f(y_n)|\ge \varepsilon_0
    Explanation

    For each n, apply the negated statement with δ=1/nδ=1/n to obtain a pair xnx_n,yn∈Ey_n\in E satisfying the two inequalities.

    Justification

    Direct instantiation of ∀δ>0δ>0 ∃x,y∈Ey\in E from the negation.

    Shown in the video
  4. Expression
    Explanation

    Collecting these pairs over all n produces two sequences {xnx_n} and {yny_n} whose input distances tend to 0 while output distances remain bounded below by ε₀.

    Justification

    Because 1/n→01/n\to 0, the condition |xn−ynx_n-y_n|<1/n1/n forces the sequences to get arbitrarily close; the lower bound |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀ prevents uniform control.

    Derived from the video
Conclusion

Failure of uniform continuity can be tested by exhibiting sequences {xnx_n},{yny_n}⊂E with |xn−ynx_n-y_n|→0 but |f(xn)−f(yn)f(x_n)-f(y_n)| not tending to 0; in the video's form, |xn−ynx_n-y_n|<1/n1/n and |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀.

Setting up the counterexample for f(x)=xf(x)=x²

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink lines write Ex: f(x)=xf(x)=x² is not uniformly continuous on ℝ, then Choose xn=n+1/nx_n=n+1/n, yn=ny_n=n, later revised to xn=n+2/nx_n=n+2/n.

  2. Audio
    Observation

    Lecturer says he needs to find the sequence and chooses xnx_n and yny_n accordingly.

Uncertainties
  1. The algebraic verification that |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀ is not completed in this clip.

Proof
Steps
  1. Expression
    f(x)=x2,E=Rf(x)=x^2,\quad E=\mathbb{R}
    Explanation

    Introduce the example function and its domain.

    Justification

    Stated explicitly on the board and in speech.

    Shown in the video
  2. Expression
    yn=ny_n=n
    Explanation

    Choose the second sequence to be yn=ny_n=n.

    Justification

    This is the lecturer's explicit choice for the counterexample.

    Shown in the video
  3. Expression
    xn=n+1nx_n=n+\frac1n
    Explanation

    Initially choose xn=n+1/nx_n=n+1/n.

    Justification

    Written on the board before revision.

    Shown in the video
  4. Expression
    xn=n+2nx_n=n+\frac2n
    Explanation

    Revise the first sequence to xn=n+2/nx_n=n+2/n.

    Justification

    The lecturer says putting 2/n2/n 'won't change anything' and rewrites the choice on the board.

    Shown in the video
  5. Expression
    ∣xn−yn∣=2n|x_n-y_n|=\frac2n
    Explanation

    With the revised choice, the input separation is exactly 2/n2/n, which tends to 0.

    Justification

    Direct subtraction: (n+2/nn+2/n)-n=2/n2/n.

    Derived from the video
Conclusion

The clip sets up the standard sequence-based disproof for f(x)=xf(x)=x² on ℝ by choosing yn=ny_n=n and xn=n+2/nx_n=n+2/n so that |xn−ynx_n-y_n|→0; the remaining step of checking |xnx_n²-y_n²|≥ε₀ is not shown within this excerpt.

Proof that x2x^2 is not uniformly continuous on R by explicit sequences

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Purple work shows the chosen sequences and the full algebraic computation leading to |xn2−yn2x_n^2-y_n^2|=1+1/(4n2)>11+1/(4n^2)>1.

  2. Audio
    Observation

    From 00:00 to 01:09 the lecturer verbally walks through the same computation and concludes non-uniform continuity.

Proof
Steps
  1. Expression
    xn=n+12n,yn=nx_n=n+\frac{1}{2n},\qquad y_n=n
    Explanation

    Choose two sequences of real numbers depending on n.

    Justification

    These are the sequences explicitly written on the board under 'Choose'.

    Shown in the video
  2. Expression
    ∣xn−yn∣=∣(n+12n)−n∣=12n<1n|x_n-y_n|=\left|\left(n+\frac{1}{2n}\right)-n\right|=\frac{1}{2n}<\frac{1}{n}
    Explanation

    Their mutual distance is smaller than 1/n1/n.

    Justification

    Direct subtraction and simplification shown on the board and spoken aloud at 00:00-00:07.

    Shown in the video
  3. Expression
    ∣xn2−yn2∣=∣(n+12n)2−n2∣|x_n^2-y_n^2|=\left|\left(n+\frac{1}{2n}\right)^2-n^2\right|
    Explanation

    Now compute the difference of the squared values, matching f(x)=x2f(x)=x^2.

    Justification

    This is the next line written on the board at about 00:12-00:18.

    Shown in the video
  4. Expression
    (n+12n)2=n2+2⋅n⋅12n+14n2=n2+1+14n2\left(n+\frac{1}{2n}\right)^2=n^2+2\cdot n\cdot \frac{1}{2n}+\frac{1}{4n^2}=n^2+1+\frac{1}{4n^2}
    Explanation

    Expand the square using (a+ba+b)^2=a2+22=a^2+2ab+b2b^2.

    Justification

    The lecturer verbally explains the middle term at 00:23-00:35 and the board displays the expanded expression.

    Shown in the video
  5. Expression
    ∣xn2−yn2∣=∣n2+1+14n2−n2∣=1+14n2|x_n^2-y_n^2|=\left|n^2+1+\frac{1}{4n^2}-n^2\right|=1+\frac{1}{4n^2}
    Explanation

    Subtract n2n^2 and simplify; the absolute value is unnecessary because the result is positive.

    Justification

    Shown on the board around 00:44-00:54 and stated aloud as the n2n^2 terms cancel.

    Shown in the video
  6. Expression
    1+14n2>11+\frac{1}{4n^2}>1
    Explanation

    For every n, the quantity is strictly larger than 1.

    Justification

    Immediate from positivity of 1/(4n2)1/(4n^2); written on the board at the end of the computation.

    Shown in the video
  7. Expression
    ∃ε0=1 such that ∣xn−yn∣<1n but ∣xn2−yn2∣≥ε0\exists \varepsilon_0=1\ \text{such that}\ |x_n-y_n|<\frac1n\ \text{but}\ |x_n^2-y_n^2|\ge \varepsilon_0
    Explanation

    Thus the sequence criterion for failure of uniform continuity is satisfied with ε₀=1.

    Justification

    This is the conclusion drawn by the lecturer at 00:56-01:09 from the preceding inequalities.

    Derived from the video
Conclusion

The explicit sequences show that f(x)=x2f(x)=x^2 is not uniformly continuous on R.

Direct epsilon-delta verification for f(x)f(x)=mx+b

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink proof line reads 'Let ε>0ε>0 and choose δ=εδ=ε/|m|. Then if |x-y|<δ, then |mx+b-(my+b)|=|m||x-y|<|m|δ=εδ=ε.'

Uncertainties
  1. The derivation on the board assumes m≠0m\ne 0 when dividing by |m|; the special case m=0m=0 is not discussed in this clip.

Proof
Steps
  1. Expression
    δ=ε/∣m∣\delta=\varepsilon/|m|
    Explanation

    Choose δ in terms of ε and the slope m.

    Justification

    Written explicitly on the board in the pink proof.

    Shown in the video
  2. Expression
    ∣mx+b−(my+b)∣=∣m(x−y)∣=∣m∣∣x−y∣|mx+b-(my+b)|=|m(x-y)|=|m||x-y|
    Explanation

    Rewrite the output difference by factoring out m.

    Justification

    Algebra shown on the board.

    Shown in the video
  3. Expression
    ∣m∣∣x−y∣<∣m∣δ=ε|m||x-y|<|m|\delta=\varepsilon
    Explanation

    If |x-y|<δ, then the output difference is less than ε.

    Justification

    Substitution of the chosen δ into the inequality, as displayed on the board.

    Shown in the video
Conclusion

The affine function f(x)f(x)=mx+b satisfies the epsilon-delta definition of uniform continuity on R (as written, for m≠0m\ne 0).

Worked examples · 4

Linear Function Example

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Ex: f(x)f(x) = mx + b is uniformly continuous on R.

Problem

Determine if the linear function f(x)f(x) = mx + b is uniformly continuous on the set of real numbers R.

Given
  1. f(x)f(x) = mx + b

  2. Domain is R

Goal

Prove or disprove uniform continuity of f(x)f(x) on R.

Steps
  1. Expression
    Choose δ=ε∣m∣\text{Choose } \delta = \frac{\varepsilon}{|m|}
    Explanation

    Select delta as a function of epsilon and the absolute value of the slope m.

    Justification

    To satisfy the epsilon-delta definition of uniform continuity.

    Shown in the video
  2. Expression
    ∣(mx+b)−(my+b)∣=∣m∣∣x−y∣<∣m∣δ=ε|(mx + b) - (my + b)| = |m||x - y| < |m|\delta = \varepsilon
    Explanation

    Show that the difference in function values is bounded by epsilon when the difference in inputs is bounded by delta.

    Justification

    Algebraic simplification and substitution of the chosen delta.

    Shown in the video
Answer

The function f(x)f(x) = mx + b is uniformly continuous on R.

Verification

The derived inequality |f(x)−f(y)f(x) - f(y)| < epsilon holds for all x, y in R given the chosen delta.

Example: f(x)=xf(x)=x² on ℝ

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink text: 'Ex: f(x)=xf(x)=x² is not uniformly continuous on ℝ.' followed by 'Choose xn=n+1/nx_n=n+1/n', 'yn=ny_n=n', then revised to 'xn=n+2/nx_n=n+2/n'.

  2. Audio
    Observation

    'So now what we're going to do is we'll provide an example of this ... f of x which is x squared is not uniformly continuous on R ... I'm gonna choose xnx_n to be n plus one over n, and yny_n to be what? Just to be n ... Or I can put like a two over n ... let's just put a two over n over there.'

Uncertainties
  1. The final inequality verification is absent from this clip; only the construction of the candidate sequences is shown.

Problem

Show, by the sequential criterion, that f(x)=xf(x)=x² is not uniformly continuous on ℝ.

Given
  1. f(x)=xf(x)=x²

  2. Domain E=ℝ

  3. Use the previously derived sequence condition for failure of uniform continuity

Goal

Construct sequences {xnx_n},{yny_n}⊂ℝ with |xn−ynx_n-y_n|→0 but |f(xn)−f(yn)f(x_n)-f(y_n)| bounded below by a fixed positive constant.

Steps
  1. Expression
    yn=ny_n=n
    Explanation

    Choose one sequence to be the integers.

    Justification

    Explicit board choice.

    Shown in the video
  2. Expression
    xn=n+1nx_n=n+\frac1n
    Explanation

    First propose xn=n+1/nx_n=n+1/n.

    Justification

    Explicit board choice before revision.

    Shown in the video
  3. Expression
    xn=n+2nx_n=n+\frac2n
    Explanation

    Replace the proposal by xn=n+2/nx_n=n+2/n.

    Justification

    The lecturer revises the choice on the board and says it will not change the argument.

    Shown in the video
  4. Expression
    ∣xn−yn∣=2n→0|x_n-y_n|=\frac2n\to 0
    Explanation

    Compute the input separation for the revised choice.

    Justification

    Algebra from the selected sequences.

    Derived from the video
Answer

The example is set up with yn=ny_n=n and xn=n+2/nx_n=n+2/n, giving |xn−ynx_n-y_n|=2/n→02/n\to 0.

Verification

Within this clip, only the input-distance computation is visible; the output-distance check |xnx_n²-y_n²|≥ε₀ is not completed on screen.

Counterexample: f(x)=x2f(x)=x^2 on R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Purple section is labeled 'Ex f(x)=x2f(x)=x^2 is not uniformly continuous on R.' and contains the full construction and computation.

  2. Audio
    Observation

    The lecturer spends essentially the whole clip explaining this example and concludes at 01:04-01:09 that it proves non-uniform continuity.

Problem

Show that f(x)=x2f(x)=x^2 is not uniformly continuous on R.

Given
  1. f(x)=x2f(x)=x^2

  2. Domain is R

  3. Use the sequence criterion for failure of uniform continuity

Goal

Construct sequences xnx_n,yny_n with |xn−ynx_n-y_n|→0 but |xn2−yn2x_n^2-y_n^2| bounded below by a fixed positive constant.

Steps
  1. Expression
    xn=n+12n, yn=nx_n=n+\frac{1}{2n},\ y_n=n
    Explanation

    Pick these two sequences.

    Justification

    Explicitly written on the board under 'Choose'.

    Shown in the video
  2. Expression
    ∣xn−yn∣=12n<1n|x_n-y_n|=\frac{1}{2n}<\frac{1}{n}
    Explanation

    Check that the inputs become arbitrarily close.

    Justification

    Direct simplification shown on the board and spoken aloud.

    Shown in the video
  3. Expression
    ∣xn2−yn2∣=∣(n+12n)2−n2∣|x_n^2-y_n^2|=\left|\left(n+\frac{1}{2n}\right)^2-n^2\right|
    Explanation

    Compute the corresponding output difference for f(x)=x2f(x)=x^2.

    Justification

    Displayed as the next line of the proof.

    Shown in the video
  4. Expression
    =∣n2+1+14n2−n2∣=1+14n2>1=\left|n^2+1+\frac{1}{4n^2}-n^2\right|=1+\frac{1}{4n^2}>1
    Explanation

    Expand, cancel n2n^2, and observe the result exceeds 1.

    Justification

    Algebra shown step-by-step on the board and narrated in the audio.

    Shown in the video
  5. Expression
    Take ε0=1\text{Take }\varepsilon_0=1
    Explanation

    Then |xn−ynx_n-y_n|<1/n1/n while |xn2−yn2x_n^2-y_n^2|≥ε₀ for all n.

    Justification

    This matches the yellow sequence criterion written above the example.

    Derived from the video
Answer

f(x)=x2f(x)=x^2 is not uniformly continuous on R.

Verification

The constructed sequences satisfy the negated uniform-continuity condition displayed on the board: input gaps shrink below 1/n1/n, but output gaps remain >1.

Example: f(x)f(x)=mx+b on R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink section gives the example f(x)f(x)=mx+b and its short proof of uniform continuity on R.

Uncertainties
  1. The clip does not separately verify the constant-function case m=0m=0.

Problem

Verify that an affine function f(x)f(x)=mx+b is uniformly continuous on R.

Given
  1. f(x)f(x)=mx+b

  2. Domain is R

  3. ε>0ε>0 is arbitrary

Goal

Find δ depending only on ε such that |x-y|<δ implies |f(x)−f(y)f(x)-f(y)|<ε.

Steps
  1. Expression
    δ=ε/∣m∣\delta=\varepsilon/|m|
    Explanation

    Choose this δ.

    Justification

    Written directly on the board.

    Shown in the video
  2. Expression
    ∣mx+b−(my+b)∣=∣m∣∣x−y∣<∣m∣δ=ε|mx+b-(my+b)|=|m||x-y|<|m|\delta=\varepsilon
    Explanation

    Substitute and simplify.

    Justification

    Displayed chain of equalities and inequalities on the board.

    Shown in the video
Answer

f(x)f(x)=mx+b is uniformly continuous on R (as proved on the board for m≠0m\ne 0).

Verification

The displayed inequality exactly matches the definition of uniform continuity.

Visual events · 5

Writing the Definition of Uniform Continuity

Clear evidence
Shown in the video
Evidence
  1. Animation
    Observation

    The instructor writes the formal definition of uniform continuity on a lightboard using green ink.

Objects
  1. Lightboard

  2. Green marker

  3. Text of definition

Changes
  1. The text of the definition appears sequentially on the board.

Invariants
  1. The instructor remains visible behind the transparent board.

Interpretation

Visual presentation of the formal mathematical definition of uniform continuity.

Writing the Proof for the Linear Function

Clear evidence
Shown in the video
Evidence
  1. Animation
    Observation

    The instructor writes the example and its proof on the lightboard using pink ink.

Objects
  1. Lightboard

  2. Pink marker

  3. Text of example and proof

Changes
  1. The text of the example and the step-by-step proof appear sequentially on the board.

Invariants
  1. The green definition remains visible at the top of the board.

Interpretation

Visual demonstration of applying the definition to prove a specific case.

Color-coded board progression from definition to sequential criterion

Clear evidence
Shown in the video
Evidence
  1. Diagram
    Observation

    Blackboard shows three color-coded blocks: green pre-written definition, pink pre-written linear-function example and proof, yellow newly written negation and sequence criterion.

  2. Animation
    Observation

    The lecturer writes the yellow lines live while speaking.

Objects
  1. Green definition block

  2. Pink example block for f(x)f(x)=mx+b

  3. Yellow negation block

  4. Yellow sequence block

Changes
  1. Yellow text is added beneath the pre-written definition.

  2. The board moves from a quantifier-based negation to a sequence-based reformulation with δ=1/nδ=1/n.

Invariants
  1. The green definition and pink linear-function example remain visible throughout.

  2. The mathematical focus stays on uniform continuity and its failure.

Interpretation

The visual layout separates prior material from the new lesson content: the yellow writing is the live derivation of the negation and its sequential form.

Live construction of the x² counterexample

Clear evidence
Shown in the video
Evidence
  1. Diagram
    Observation

    New pink lines appear: 'Ex: f(x)=xf(x)=x² is not uniformly continuous on ℝ.' then 'Choose xn=n+1/nx_n=n+1/n', 'yn=ny_n=n', later revised to 'xn=n+2/nx_n=n+2/n'.

  2. Animation
    Observation

    The lecturer writes, pauses, and edits the choice of xnx_n on the board.

Objects
  1. Pink example heading

  2. Sequence choices xnx_n and yny_n

  3. Revision from 1/n1/n to 2/n2/n

Changes
  1. The example statement is written first.

  2. The initial choice xn=n+1/nx_n=n+1/n is replaced by xn=n+2/nx_n=n+2/n while yn=ny_n=n stays fixed.

Invariants
  1. The function remains f(x)=xf(x)=x² on ℝ.

  2. The method remains the sequence criterion introduced above.

Interpretation

The revision shows the lecturer tuning the witness sequences so their difference is small enough for the intended contradiction pattern.

Color-coded board structure and live writing of the counterexample

Clear evidence
Shown in the video
Evidence
  1. Diagram
    Observation

    Throughout the clip, the blackboard is organized into colored blocks: green definition at top, pink linear example beneath it, yellow negation and sequence criterion in the middle, and purple x2x^2 counterexample at the bottom.

  2. Animation
    Observation

    The lecturer writes new purple formulas in sequence during 00:00-00:54 while the earlier colored statements remain visible.

Objects
  1. Green definition block

  2. Pink linear-function example

  3. Yellow negation and sequence criterion

  4. Purple x2x^2 counterexample

  5. Lecturer's hand writing with marker

Changes
  1. At the start, the purple section already contains the chosen sequences and the beginning of the computation.

  2. Between about 00:02 and 00:07, the lecturer completes |xn−ynx_n-y_n|=1/(2n)<1/n1/(2n)<1/n.

  3. Between about 00:12 and 00:54, he writes the expansion and simplification of |xn2−yn2x_n^2-y_n^2| until reaching 1+1/(4n2)>11+1/(4n^2)>1.

  4. After about 00:54, the completed purple proof remains on screen while he gestures and summarizes verbally.

Invariants
  1. The top definition, pink linear example, and yellow negation/sequence criterion stay unchanged throughout the clip.

  2. The function under discussion in the purple example remains f(x)=x2f(x)=x^2 on R.

Interpretation

The visual organization separates the general definition, its negation, a positive example, and the main negative example, making the logical flow from definition to counterexample explicit.

Misconceptions · 5

Delta depending on x and y

Clear evidence
Shown in the video
Evidence
  1. Audio
    Observation

    Speaker states: 'So this is true for... I made no assumptions on x and y, it's true for all values of x and y, for any x and y in R.'

Misconception

Believing that in uniform continuity, the chosen delta can depend on the specific points x and y.

Clarification

In uniform continuity, delta depends only on epsilon (and the function/domain), not on the specific locations of x and y within the domain E.

Do not confuse the order of quantifiers in the negation

Approximate timing
Supplementary explanation
Evidence
  1. Formula
    Observation

    The board contrasts the uniform definition '∀ε>0ε>0 ∃δ>0δ>0 ... for all x,y∈Ey\in E' with its negation '∃ε₀>0 ∀δ>0δ>0 ... ∃x,y∈Ey\in E'.

Misconception

One might incorrectly think failure of uniform continuity merely means that for some ε and some δ the implication fails at a single fixed point pair, or that δ may depend on the chosen point.

Clarification

The video's negation requires one fixed ε₀>0 that works against every δ>0δ>0, with a possibly different pair x,y∈Ey\in E for each δ. The pair may vary with δ, but ε₀ does not.

The sequence condition is a witness for failure, not just a heuristic

Approximate timing
Supplementary explanation
Evidence
  1. Formula
    Observation

    Yellow line states that taking δ=1/nδ=1/n yields sequences with |xn−ynx_n-y_n|<1/n1/n and |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀.

Misconception

Students may treat the existence of close sequences with separated images as merely suggestive rather than decisive.

Clarification

In the video's logic, once such sequences are found, they directly contradict the uniform-continuity requirement, because uniform continuity would force |f(xn)−f(yn)f(x_n)-f(y_n)|<ε whenever |xn−ynx_n-y_n|<δ, eventually impossible if |xn−ynx_n-y_n|→0 but the outputs stay ≥ε₀.

Confusing pointwise closeness with uniform control

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    The yellow board text contrasts 'for every ε>0ε>0 there is δ>0δ>0 ...' with 'there is ε₀>0 s.t. for all δ>0δ>0 ... |f(x)−f(y)f(x)-f(y)|≥ε₀'.

  2. Audio
    Observation

    At 00:56-01:09 the lecturer emphasizes finding sequences with input differences less than 1/n1/n but output differences at least a fixed ε₀.

Misconception

One might think that making |x-y| small is enough to force |f(x)−f(y)f(x)-f(y)| small uniformly across the whole domain.

Clarification

Uniform continuity requires one δ that works for all pairs x,y in the domain simultaneously. The negation shown on the board produces, for a fixed ε₀, pairs arbitrarily close together whose outputs still differ by at least ε₀.

Possible slip between E and R in the displayed negation

Approximate timing
Shown in the video
Evidence
  1. Formula
    Observation

    The yellow sentence begins 'f fails to be uniformly continuous on E' but ends with '∀x,y∈Ry\in R'.

Uncertainties
  1. It is unclear whether this is a deliberate specialization to R or a board-writing inconsistency; the clip does not explain it.

Misconception

A reader could assume the negation line consistently quantifies over the same set throughout.

Clarification

As written, the board mixes E and R in one sentence. Mathematically, the negation should quantify over the same domain under discussion; in the worked example that domain is R.

Concept relations · 9

Logical Negation of Uniform Continuity → Definition of Uniform Continuity

Clear evidence
Shown in the video
Evidence
  1. Audio
    Observation

    Speaker mentions looking at the logical negation of the definition to find non-examples.

Contrast
Explanation

The method of logical negation is used to define the condition under which a function fails to be uniformly continuous, directly contrasting with the definition itself.

Proof that a Linear Function is Uniformly Continuous → Definition of Uniform Continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    The proof explicitly uses the structure of the definition to establish the result for f(x)f(x) = mx + b.

Application
Explanation

The derivation applies the formal definition of uniform continuity to a specific linear function to prove it holds.

Negation of uniform continuity on E → Sequential reformulation of failure of uniform continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    The yellow sequence line is introduced right after the yellow negation line and explicitly says 'Taking δ=1/nδ=1/n'.

  2. Audio
    Observation

    The lecturer says 'what this implies' before writing the sequence version.

Application
Explanation

The sequential criterion is obtained by applying the quantified negation to the special choices δ=1/nδ=1/n.

Sequential reformulation of failure of uniform continuity → Example setup: f(x)=xf(x)=x² on ℝ is not uniformly continuous

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    After writing the sequence criterion, the lecturer starts 'Ex: f(x)=xf(x)=x² is not uniformly continuous on ℝ' and immediately chooses sequences.

  2. Audio
    Observation

    'So now what we're going to do is we'll provide an example of this.'

Application
Explanation

The x² example is the first concrete application of the sequential test for failure of uniform continuity.

Definition of uniform continuity on a set E → Negation of uniform continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    The green definition and yellow negation are placed one above the other and use opposite quantifier patterns.

Contrast
Explanation

The yellow statement is the logical negation of the green epsilon-delta definition of uniform continuity.

Negation of uniform continuity → Sequence criterion for failure of uniform continuity

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    The yellow line explicitly says 'Taking δ=1/nδ=1/n, we can find a sequences {xnx_n} and {yny_n} ...' immediately after the negation.

Equivalent
Explanation

Choosing δ=1/nδ=1/n converts the negated epsilon-delta condition into a sequential formulation useful for counterexamples.

Sequence criterion for failure of uniform continuity → Counterexample: f(x)=x2f(x)=x^2 on R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    The purple example constructs xnx_n,yny_n exactly in the form required by the yellow sequence criterion.

  2. Audio
    Observation

    The lecturer's closing summary explicitly ties the computed sequences to the criterion for failure of uniform continuity.

Application
Explanation

The x2x^2 counterexample is an application of the sequence criterion to prove non-uniform continuity.

Definition of uniform continuity on a set E → Linear functions are uniformly continuous on R

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    The pink proof directly verifies the green definition for f(x)f(x)=mx+b.

Application
Explanation

The linear-function example demonstrates the definition of uniform continuity in a concrete case.

Linear functions are uniformly continuous on R → Counterexample: f(x)=x2f(x)=x^2 on R

Clear evidence
Shown in the video
Evidence
  1. Diagram
    Observation

    The board juxtaposes a positive example (pink f(x)f(x)=mx+b) with a negative example (purple f(x)=x2f(x)=x^2) on R.

Contrast
Explanation

Both functions are considered on R, but the affine function satisfies uniform continuity while x2x^2 does not.

Find an answer · 14

What is the formal epsilon-delta definition of uniform continuity?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Definition written on the board.

Knowledge points
  1. Definition of Uniform Continuity

How do you prove that a linear function is uniformly continuous on the real numbers?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Proof written on the board.

Knowledge points
  1. Proof that a Linear Function is Uniformly Continuous
  2. Linear Function Example

What is the first step to proving a function is not uniformly continuous?

Clear evidence
Shown in the video
Evidence
  1. Audio
    Observation

    Speaker discusses logical negation.

Knowledge points
  1. Logical Negation of Uniform Continuity

What is the precise logical negation of uniform continuity on a set E?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow board line gives the exact negation.

Knowledge points
  1. Negation of uniform continuity on E

Why does the lecturer take δ=1/nδ=1/n when converting the negation into a sequence criterion?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow line says 'Taking δ=1/nδ=1/n'.

  2. Audio
    Observation

    Lecturer explains taking a sequence of delta getting small.

Knowledge points
  1. Sequential reformulation of failure of uniform continuity
  2. Deriving the sequential witness from the negated definition

How can one prove that a function is not uniformly continuous using sequences?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Sequence condition with |xn−ynx_n-y_n|<1/n1/n and |f(xn)−f(yn)f(x_n)-f(y_n)|≥ε₀.

Knowledge points
  1. Sequential reformulation of failure of uniform continuity
  2. Sequence criterion for non-uniform continuity

Which sequences are chosen to show that f(x)=xf(x)=x² is not uniformly continuous on ℝ?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Pink example lines for f(x)=xf(x)=x² and the chosen sequences.

Knowledge points
  1. Example setup: f(x)=xf(x)=x² on ℝ is not uniformly continuous
  2. Example: f(x)=xf(x)=x² on ℝ

Why does the lecturer change xn=n+1/nx_n=n+1/n to xn=n+2/nx_n=n+2/n in the x² example?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Board revision from xn=n+1/nx_n=n+1/n to xn=n+2/nx_n=n+2/n.

  2. Audio
    Observation

    'Or I can put like a two over n ... let's just put a two over n over there.'

Knowledge points
  1. Example: f(x)=xf(x)=x² on ℝ
  2. Setting up the counterexample for f(x)=xf(x)=x²

What is the epsilon-delta definition of uniform continuity shown on the board?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Top green definition line is visible throughout the clip.

Knowledge points
  1. Definition of uniform continuity on a set E

How do you negate the definition of uniform continuity?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow negation statement is visible throughout the clip.

Knowledge points
  1. Negation of uniform continuity

Why can one use sequences with |xn−ynx_n-y_n|<1/n1/n to disprove uniform continuity?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Yellow line with δ=1/nδ=1/n and sequences {xnx_n},{yny_n}.

Knowledge points
  1. Sequence criterion for failure of uniform continuity
  2. Negation of uniform continuity

How is the counterexample for f(x)=x2f(x)=x^2 carried out step by step?

Clear evidence
Shown in the video
Evidence
  1. Formula
    Observation

    Purple computation from xn=n+1/(2n)x_n=n+1/(2n), yn=ny_n=n to |xn2−yn2x_n^2-y_n^2|=1+1/(4n2)>11+1/(4n^2)>1.

  2. Audio
    Observation

    Spoken explanation from 00:00 to 01:09 follows the same steps.

Knowledge points
  1. Counterexample: f(x)=x2f(x)=x^2 on R
  2. Proof that x2x^2 is not uniformly continuous on R by explicit sequences
  3. The function f(x)=x2f(x)=x^2 is not uniformly continuous on R
Coverage and review notes

Covered · Introductory title card and speaker greeting.

Covered · Writing and explaining the definition of uniform continuity.

Covered · Presenting and proving the example of a linear function.

Covered · Introducing the concept of logical negation for finding counterexamples.

Covered · The lecturer writes and states the negation of uniform continuity on E.

Covered · The quantified negation is converted into the sequential criterion by taking δ=1/nδ=1/n.

Covered · Brief transition in which the lecturer concludes that verifying the sequence condition gives a function failing uniform continuity on E.

Covered · The example f(x)=xf(x)=x² on ℝ is introduced and the witnessing sequences are chosen, with xnx_n revised from n+1/nn+1/n to n+2/nn+2/n.

Covered · The entire clip consists of a static multi-part board plus live completion of the purple x2x^2 counterexample and a spoken summary; all mathematical content in the interval is represented above.

Explore the knowledge in this video

Reviewed subject paths