Definition of Uniform Continuity
A function is uniformly continuous on if for every , there exists a such that for all , implies . Crucially, depends only on , not on the specific points and .
Mike, the Mathematician · YouTube · 6:42
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 = 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 one can find x, with |x-y|<δ but ||≥ε₀', the lecturer specializes to 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 ² on ℝ, choosing and revising from to so that ||=. The final verification of |²-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 =mx+b are uniformly continuous on R by choosing /|m|. The yellow middle section states the negation of uniform continuity and its sequential form obtained by taking . The main live work is in purple: the lecturer chooses and , computes ||=, expands || to , and concludes that 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.
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 is uniformly continuous on if for every , there exists a such that implies for all . This emphasizes that is chosen independently of the specific points and .
To demonstrate the definition, the instructor presents an example: proving that a linear function is uniformly continuous on the set of all real numbers . He writes out the proof step-by-step. First, he lets be given and chooses . (Note: He initially writes but verbally corrects himself to use the absolute value of to account for negative slopes). Next, he assumes and evaluates the difference in function values: . Since , it follows that . He concludes by pointing out that no assumptions were made about and , 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 there is such that |x-y|<δ implies ||<ε for all x,. 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 one can find x, with |x-y|<δ but ||≥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 , choose for each natural number n. For each n, the negation supplies a pair , with ||< and ||≥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 ² on ℝ. To apply the sequence criterion, he chooses . He first writes , then revises it to , explaining that the change does not affect the argument. With the revised choice, ||=, which tends to 0. The clip stops after this setup; the remaining task would be to compute |²-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 is uniformly continuous on if for every there exists such that implies for all . Below it, the pink example treats on and chooses , yielding . In yellow, the clip records the negation: failure of uniform continuity means there is some fixed such that for every one can find points within whose images differ by at least . The same yellow line then rewrites this with as a sequence criterion.
The live work in purple completes the counterexample for on . The lecturer has chosen and . First he checks the input separation: . This is exactly the type of estimate required by the sequence criterion, because the inputs can be made arbitrarily close as grows.
Next he studies the output separation for the squaring map. He writes and expands the square. The middle term comes from , and the last term is . Therefore .
Subtracting cancels the terms, leaving . Since , this is strictly larger than for every . 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 , the sequences satisfy while . This matches the yellow negation statement and proves that is not uniformly continuous on . The final seconds contain only a spoken sign-off while the completed board remains visible.
A function is uniformly continuous on if for every , there exists a such that for all , implies . Crucially, depends only on , not on the specific points and .
Any linear function is uniformly continuous on . The proof involves choosing for a given . Then, for any with , we have .
To prove a function is not uniformly continuous, one must use the logical negation of the definition. This means showing there exists an such that for all , there are points in the domain where but .
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 is chosen, some pair x, satisfies |x-y|<δ while ||≥ε₀. The important structural point is that ε₀ is chosen once and for all, whereas the witnessing pair may depend on δ.
By instantiating the negation with , the lecturer obtains a usable test: f is not uniformly continuous on E if there exist ε₀>0 and sequences {},{}⊂E such that ||< but ||≥ε₀ for every n. Intuitively, the inputs can be made arbitrarily close while the outputs remain a fixed distance apart.
The lecturer introduces ² as the standard example of a function that is not uniformly continuous on all of ℝ. He begins constructing the required sequences by taking and, after a revision, . This gives ||=, matching the first half of the sequence criterion. The clip ends before the second inequality |²-y_n²|≥ε₀ is verified.
A function is uniformly continuous on when one works for all pairs of points in at once: for every there exists such that implies for all . This is stronger than ordinary continuity because cannot depend on the chosen point.
To show that is not uniformly continuous, it suffices to find one fixed output tolerance such that no input tolerance works globally: for every there are points with but . The board presents this as the logical opposite of the definition.
By setting , the negated condition becomes sequential: there exist two sequences and in the domain such that while for some fixed . This is the practical tool used in the rest of the clip.
For , the difference of outputs is controlled linearly by the difference of inputs: . Choosing makes this less than whenever . The board's written proof implicitly assumes because of the division by .
To disprove uniform continuity of on , the lecturer chooses and . These points move farther out along the real line while staying very close to each other, which is the key mechanism behind the failure.
The chosen sequences satisfy . Hence the inputs become arbitrarily close as increases, fulfilling the left-hand requirement of the sequence criterion for non-uniform continuity.
The output difference is . Expanding the square gives , so after subtracting the result is , which is always greater than .
Taking , the sequences satisfy but . This exactly matches the sequence criterion for failure of uniform continuity, so is not uniformly continuous on .
Explore conditions, steps and evidence. Supplementary explanations are labeled separately from content shown in the video.
Written as f in the definition and example.
f
A function mapping a set E to the real numbers.
Functions from E to R
Written as E in the definition.
E
The domain set on which the function f is defined and evaluated for uniform continuity.
Subsets of R
Written as R in the definition and example.
R
The set of real numbers.
Real numbers
Written as epsilon in the definition and proof.
An arbitrary positive real number representing the tolerance for the difference in function values.
(0, )
Written as delta in the definition and proof.
A positive real number representing the tolerance for the difference in input values.
(0, )
Written as x and y in the definition and proof.
x, y
Arbitrary elements of the domain set E (or R in the example).
Elements of E or R
Written as m and b in the example = mx + b.
m, b
Constants defining a linear function, where m is the slope and b is the y-intercept.
Real numbers
Pre-written board text defines f:E→R and uses , , |x-y|<δ ⇒ ||<ε for all x,.
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'.
f:E→R
Function from a set E to the real numbers.
E is the domain subset under discussion; codomain is R.
Yellow line writes ∃ ε₀>0.
'epsilon zero greater than zero'.
ε₀
A fixed positive tolerance witnessing failure of uniform continuity.
ε₀∈(0,).
Yellow line writes 'for all '.
'for all delta greater than zero'.
δ
Arbitrary positive distance threshold in the negated statement.
.
Yellow line writes sequences {} and {} with ||< and ||≥ε₀.
'a pair of sequences and ... with their difference less than one over n, and bigger than or equal to epsilon zero'.
{}, {}
Sequences used to convert the quantified negation into a sequential test.
Each , (the lecturer verbally notes the general negation first says 'some x and y in R', then specializes to sequences in E).
Pink line writes Ex: ² is not uniformly continuous on ℝ.
'Example f of x which is x squared is not uniformly continuous on R'.
²
Concrete example function for which uniform continuity on ℝ will be disproved.
f:ℝ→ℝ.
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 || < epsilon for all x, y in E.
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 and is less than epsilon.
f:
x,
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.'
Written as: f fails to be uniformly continuous
The full logical negation formula is not completed on the board within the provided clip.
To prove that a function is not uniformly continuous, one must analyze and utilize the logical negation of the formal definition of uniform continuity.
Yellow text: 'f fails to be uniformly continuous on E if there is ∃ ε₀>0 s.t. ∀ , |x-y|<δ ⇒ ||≥ε₀, ∃ x,'.
Lecturer states the same negation in words.
The video explicitly writes the logical negation of the uniform-continuity definition. Instead of requiring every to admit some that works uniformly for all pairs in E, failure means there exists one positive ε₀ such that no matter how small is chosen, one can still find a pair x, with |x-y|<δ but ||≥ε₀.
f:E→R
ε₀>0
x,
Yellow text: 'Taking , we can find a pair of sequences {} and {} with ||<, ||≥ε₀'.
'if I take a sequence of delta getting small ... taking delta equals one over n ... we can find ... a pair of sequences and ... with their difference less than one over n, and bigger than or equal to epsilon zero'.
From the quantified negation, the lecturer derives a practical test: choose for each n, then the negation guarantees a corresponding pair , with ||< while ||≥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.
Use the previously stated negation of uniform continuity
Take for each n∈ℕ
Pink text: 'Ex: ² is not uniformly continuous on ℝ.'
'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.'
The full verification is not completed within this clip; only the setup and sequence choice are shown.
The lecturer introduces ² as the concrete example to which the sequential criterion will be applied. He begins constructing the witnessing sequences by choosing and first , then revises to so that ||= becomes smaller while still tending to 0.
Domain is ℝ
Goal is to show failure of uniform continuity using the sequential criterion
Top green line on the board defines uniform continuity: 'We say that f:E→R is uniformly continuous on E if for every there is .t. |x-y|<δ ⇒ ||<ε for all x,.'
The spoken explanation in this clip focuses on the counterexample, while the definition remains visible on the board throughout.
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.
f:E→R
x,
Yellow text states: 'f fails to be uniformly continuous on E if there is ε₀>0 s.t. for all , |x-y|<δ ⇒ ||≥ε₀ ∀x,.'
At 00:56-01:09 the lecturer summarizes the same idea verbally: he found sequences whose difference is less than but whose squared values differ by at least a fixed ε₀, proving non-uniform continuity.
The displayed negation line ends with '∀x,' even though the sentence begins 'on E'; the clip does not explain this mismatch.
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.
ε₀>0
the witness points may depend on δ
Yellow line below the negation says: 'Taking , we can find a sequences {} and {} with ||<, ||≥ε₀.'
The final spoken summary explicitly uses this sequence formulation to conclude that is not uniformly continuous on R.
The board writes 'a sequences', apparently a minor wording slip; mathematically it means two sequences {} and {}.
By specializing δ to , 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.
Use the negation of uniform continuity
Choose
The sequences must lie in the domain
Pink line states 'Ex =mx+b is uniformly continuous on R' and gives the proof sketch choosing /|m|.
The displayed computation is '|mx+b-(my+b)|=|m||x-y|<|m|'.
The board does not separately discuss the case , although the formula /|m| implicitly requires .
For =mx+b, the output difference is controlled directly by the input difference through the factor |m|, so choosing /|m| makes ||<ε whenever |x-y|<δ.
=mx+b
domain is R
in the displayed proof, because /|m| is used
Board directly contrasts the pre-written definition with the yellow negation line.
Lecturer reads the negation as the condition for 'fails to be uniformly continuous on E'.
A function f:E→R fails to be uniformly continuous on E iff there exists ε₀>0 such that for every there are x, with |x-y|<δ and ||≥ε₀.
f:E→R
∃ε₀>0 ∀ ∃x,
Yellow line states 'Taking , we can find a pair of sequences {} and {} with ||<, ||≥ε₀'.
Lecturer explains that showing this condition gives an example of a function that fails to be uniformly continuous on E.
If there exist ε₀>0 and sequences {},{}⊂E such that ||< and ||≥ε₀ for all n, then f is not uniformly continuous on E.
f:E→R
ε₀>0
, for all n
∃ε₀>0 ∃{},{} ∀n∈ℕ
Purple heading states 'Ex is not uniformly continuous on R.'
At 01:04-01:09 the lecturer says this proves that is not uniformly continuous on the real line.
There exist sequences and such that ||< while ||>1, so fails the uniform continuity condition on R.
Consider on R
Use the sequence criterion for failure of uniform continuity
∃ sequences {},{}⊂R such that ∀n, ||< and ||≥ε₀ for a fixed ε₀ (here one may take ε₀=1).
Pink line asserts '=mx+b is uniformly continuous on R' and displays a direct epsilon-delta proof.
The displayed proof chooses /|m| without explicitly treating .
For =mx+b on R, given one can choose /|m| so that |x-y|<δ implies ||<ε.
=mx+b
domain is R
in the written proof, because division by |m| appears
∀ ∃ ∀x,, |x-y|<δ ⇒ ||<ε.
Ex: = 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.
The speaker verbally corrects the choice of delta to include absolute value around m, but initially writes delta = epsilon / m.
Set up the proof by choosing a specific delta based on the given epsilon and the slope of the linear function.
Definition of uniform continuity requires finding a delta for any given epsilon.
Evaluate the absolute difference of the function values for arbitrary x and y in R.
Substitution of the function definition = mx + b.
Simplify the expression by factoring out m and applying the property of absolute values.
Algebraic manipulation and properties of absolute value.
Apply the assumption |x - y| < delta and substitute the chosen value of delta to show the result is strictly less than epsilon.
Inequality properties and substitution.
The linear function = mx + b satisfies the definition of uniform continuity on the set of all real numbers R.
'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 and ...'
Yellow board line records the resulting sequence condition.
Start from the negation of uniform continuity: there is ε₀>0 such that for every one can find x, with |x-y|<δ and ||≥ε₀.
This is the definition written immediately above on the board.
Choose a specific decreasing family of tolerances , one for each natural number n.
Since the negated statement holds for all , it holds in particular for .
For each n, apply the negated statement with to obtain a pair , satisfying the two inequalities.
Direct instantiation of ∀ ∃x, from the negation.
Collecting these pairs over all n produces two sequences {} and {} whose input distances tend to 0 while output distances remain bounded below by ε₀.
Because , the condition ||< forces the sequences to get arbitrarily close; the lower bound ||≥ε₀ prevents uniform control.
Failure of uniform continuity can be tested by exhibiting sequences {},{}⊂E with ||→0 but || not tending to 0; in the video's form, ||< and ||≥ε₀.
Pink lines write Ex: ² is not uniformly continuous on ℝ, then Choose , , later revised to .
Lecturer says he needs to find the sequence and chooses and accordingly.
The algebraic verification that ||≥ε₀ is not completed in this clip.
Introduce the example function and its domain.
Stated explicitly on the board and in speech.
Choose the second sequence to be .
This is the lecturer's explicit choice for the counterexample.
Initially choose .
Written on the board before revision.
Revise the first sequence to .
The lecturer says putting 'won't change anything' and rewrites the choice on the board.
With the revised choice, the input separation is exactly , which tends to 0.
Direct subtraction: ()-n=.
The clip sets up the standard sequence-based disproof for ² on ℝ by choosing and so that ||→0; the remaining step of checking |²-y_n²|≥ε₀ is not shown within this excerpt.
Purple work shows the chosen sequences and the full algebraic computation leading to ||=.
From 00:00 to 01:09 the lecturer verbally walks through the same computation and concludes non-uniform continuity.
Choose two sequences of real numbers depending on n.
These are the sequences explicitly written on the board under 'Choose'.
Their mutual distance is smaller than .
Direct subtraction and simplification shown on the board and spoken aloud at 00:00-00:07.
Now compute the difference of the squared values, matching .
This is the next line written on the board at about 00:12-00:18.
Expand the square using ()^ab+.
The lecturer verbally explains the middle term at 00:23-00:35 and the board displays the expanded expression.
Subtract and simplify; the absolute value is unnecessary because the result is positive.
Shown on the board around 00:44-00:54 and stated aloud as the terms cancel.
For every n, the quantity is strictly larger than 1.
Immediate from positivity of ; written on the board at the end of the computation.
Thus the sequence criterion for failure of uniform continuity is satisfied with ε₀=1.
This is the conclusion drawn by the lecturer at 00:56-01:09 from the preceding inequalities.
The explicit sequences show that is not uniformly continuous on R.
Pink proof line reads 'Let and choose /|m|. Then if |x-y|<δ, then |mx+b-(my+b)|=|m||x-y|<|m|.'
The derivation on the board assumes when dividing by |m|; the special case is not discussed in this clip.
Choose δ in terms of ε and the slope m.
Written explicitly on the board in the pink proof.
Rewrite the output difference by factoring out m.
Algebra shown on the board.
If |x-y|<δ, then the output difference is less than ε.
Substitution of the chosen δ into the inequality, as displayed on the board.
The affine function =mx+b satisfies the epsilon-delta definition of uniform continuity on R (as written, for ).
Ex: = mx + b is uniformly continuous on R.
Determine if the linear function = mx + b is uniformly continuous on the set of real numbers R.
= mx + b
Domain is R
Prove or disprove uniform continuity of on R.
Select delta as a function of epsilon and the absolute value of the slope m.
To satisfy the epsilon-delta definition of uniform continuity.
Show that the difference in function values is bounded by epsilon when the difference in inputs is bounded by delta.
Algebraic simplification and substitution of the chosen delta.
The function = mx + b is uniformly continuous on R.
The derived inequality || < epsilon holds for all x, y in R given the chosen delta.
Pink text: 'Ex: ² is not uniformly continuous on ℝ.' followed by 'Choose ', '', then revised to ''.
'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 to be n plus one over n, and 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.'
The final inequality verification is absent from this clip; only the construction of the candidate sequences is shown.
Show, by the sequential criterion, that ² is not uniformly continuous on ℝ.
²
Domain E=ℝ
Use the previously derived sequence condition for failure of uniform continuity
Construct sequences {},{}⊂ℝ with ||→0 but || bounded below by a fixed positive constant.
Choose one sequence to be the integers.
Explicit board choice.
First propose .
Explicit board choice before revision.
Replace the proposal by .
The lecturer revises the choice on the board and says it will not change the argument.
Compute the input separation for the revised choice.
Algebra from the selected sequences.
The example is set up with and , giving ||=.
Within this clip, only the input-distance computation is visible; the output-distance check |²-y_n²|≥ε₀ is not completed on screen.
Purple section is labeled 'Ex is not uniformly continuous on R.' and contains the full construction and computation.
The lecturer spends essentially the whole clip explaining this example and concludes at 01:04-01:09 that it proves non-uniform continuity.
Show that is not uniformly continuous on R.
Domain is R
Use the sequence criterion for failure of uniform continuity
Construct sequences , with ||→0 but || bounded below by a fixed positive constant.
Pick these two sequences.
Explicitly written on the board under 'Choose'.
Check that the inputs become arbitrarily close.
Direct simplification shown on the board and spoken aloud.
Compute the corresponding output difference for .
Displayed as the next line of the proof.
Expand, cancel , and observe the result exceeds 1.
Algebra shown step-by-step on the board and narrated in the audio.
Then ||< while ||≥ε₀ for all n.
This matches the yellow sequence criterion written above the example.
is not uniformly continuous on R.
The constructed sequences satisfy the negated uniform-continuity condition displayed on the board: input gaps shrink below , but output gaps remain >1.
Pink section gives the example =mx+b and its short proof of uniform continuity on R.
The clip does not separately verify the constant-function case .
Verify that an affine function =mx+b is uniformly continuous on R.
=mx+b
Domain is R
is arbitrary
Find δ depending only on ε such that |x-y|<δ implies ||<ε.
Choose this δ.
Written directly on the board.
Substitute and simplify.
Displayed chain of equalities and inequalities on the board.
=mx+b is uniformly continuous on R (as proved on the board for ).
The displayed inequality exactly matches the definition of uniform continuity.
The instructor writes the formal definition of uniform continuity on a lightboard using green ink.
Lightboard
Green marker
Text of definition
The text of the definition appears sequentially on the board.
The instructor remains visible behind the transparent board.
Visual presentation of the formal mathematical definition of uniform continuity.
The instructor writes the example and its proof on the lightboard using pink ink.
Lightboard
Pink marker
Text of example and proof
The text of the example and the step-by-step proof appear sequentially on the board.
The green definition remains visible at the top of the board.
Visual demonstration of applying the definition to prove a specific case.
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.
The lecturer writes the yellow lines live while speaking.
Green definition block
Pink example block for =mx+b
Yellow negation block
Yellow sequence block
Yellow text is added beneath the pre-written definition.
The board moves from a quantifier-based negation to a sequence-based reformulation with .
The green definition and pink linear-function example remain visible throughout.
The mathematical focus stays on uniform continuity and its failure.
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.
New pink lines appear: 'Ex: ² is not uniformly continuous on ℝ.' then 'Choose ', '', later revised to ''.
The lecturer writes, pauses, and edits the choice of on the board.
Pink example heading
Sequence choices and
Revision from to
The example statement is written first.
The initial choice is replaced by while stays fixed.
The function remains ² on ℝ.
The method remains the sequence criterion introduced above.
The revision shows the lecturer tuning the witness sequences so their difference is small enough for the intended contradiction pattern.
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 counterexample at the bottom.
The lecturer writes new purple formulas in sequence during 00:00-00:54 while the earlier colored statements remain visible.
Green definition block
Pink linear-function example
Yellow negation and sequence criterion
Purple counterexample
Lecturer's hand writing with marker
At the start, the purple section already contains the chosen sequences and the beginning of the computation.
Between about 00:02 and 00:07, the lecturer completes ||=.
Between about 00:12 and 00:54, he writes the expansion and simplification of || until reaching .
After about 00:54, the completed purple proof remains on screen while he gestures and summarizes verbally.
The top definition, pink linear example, and yellow negation/sequence criterion stay unchanged throughout the clip.
The function under discussion in the purple example remains on R.
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.
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.'
Believing that in uniform continuity, the chosen delta can depend on the specific points x and y.
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.
The board contrasts the uniform definition '∀ ∃ ... for all x,' with its negation '∃ε₀>0 ∀ ... ∃x,'.
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.
The video's negation requires one fixed ε₀>0 that works against every , with a possibly different pair x, for each δ. The pair may vary with δ, but ε₀ does not.
Yellow line states that taking yields sequences with ||< and ||≥ε₀.
Students may treat the existence of close sequences with separated images as merely suggestive rather than decisive.
In the video's logic, once such sequences are found, they directly contradict the uniform-continuity requirement, because uniform continuity would force ||<ε whenever ||<δ, eventually impossible if ||→0 but the outputs stay ≥ε₀.
The yellow board text contrasts 'for every there is ...' with 'there is ε₀>0 s.t. for all ... ||≥ε₀'.
At 00:56-01:09 the lecturer emphasizes finding sequences with input differences less than but output differences at least a fixed ε₀.
One might think that making |x-y| small is enough to force || small uniformly across the whole domain.
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.
The yellow sentence begins 'f fails to be uniformly continuous on E' but ends with '∀x,'.
It is unclear whether this is a deliberate specialization to R or a board-writing inconsistency; the clip does not explain it.
A reader could assume the negation line consistently quantifies over the same set throughout.
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.
Speaker mentions looking at the logical negation of the definition to find non-examples.
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.
The proof explicitly uses the structure of the definition to establish the result for = mx + b.
The derivation applies the formal definition of uniform continuity to a specific linear function to prove it holds.
The yellow sequence line is introduced right after the yellow negation line and explicitly says 'Taking '.
The lecturer says 'what this implies' before writing the sequence version.
The sequential criterion is obtained by applying the quantified negation to the special choices .
After writing the sequence criterion, the lecturer starts 'Ex: ² is not uniformly continuous on ℝ' and immediately chooses sequences.
'So now what we're going to do is we'll provide an example of this.'
The x² example is the first concrete application of the sequential test for failure of uniform continuity.
The green definition and yellow negation are placed one above the other and use opposite quantifier patterns.
The yellow statement is the logical negation of the green epsilon-delta definition of uniform continuity.
The yellow line explicitly says 'Taking , we can find a sequences {} and {} ...' immediately after the negation.
Choosing converts the negated epsilon-delta condition into a sequential formulation useful for counterexamples.
The purple example constructs , exactly in the form required by the yellow sequence criterion.
The lecturer's closing summary explicitly ties the computed sequences to the criterion for failure of uniform continuity.
The counterexample is an application of the sequence criterion to prove non-uniform continuity.
The pink proof directly verifies the green definition for =mx+b.
The linear-function example demonstrates the definition of uniform continuity in a concrete case.
The board juxtaposes a positive example (pink =mx+b) with a negative example (purple ) on R.
Both functions are considered on R, but the affine function satisfies uniform continuity while does not.
Definition written on the board.
Proof written on the board.
Speaker discusses logical negation.
Yellow board line gives the exact negation.
Yellow line says 'Taking '.
Lecturer explains taking a sequence of delta getting small.
Sequence condition with ||< and ||≥ε₀.
Pink example lines for ² and the chosen sequences.
Board revision from to .
'Or I can put like a two over n ... let's just put a two over n over there.'
Top green definition line is visible throughout the clip.
Yellow negation statement is visible throughout the clip.
Yellow line with and sequences {},{}.
Purple computation from , to ||=.
Spoken explanation from 00:00 to 01:09 follows the same steps.
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 .
Covered · Brief transition in which the lecturer concludes that verifying the sequence condition gives a function failing uniform continuity on E.
Covered · The example ² on ℝ is introduced and the witnessing sequences are chosen, with revised from to .
Covered · The entire clip consists of a static multi-part board plus live completion of the purple counterexample and a spoken summary; all mathematical content in the interval is represented above.
Reviewed English material v1: card "Definition of Uniform Continuity" at 0:10 — A function is uniformly continuous on if for every , there exists a such that for all , implies . Crucially, depends only on , not on the specific points and .
Reviewed English material v1: card "Negation of uniform continuity" at 2:40 — A function f:E→R is not uniformly continuous on E if there is one fixed ε₀>0 such that no matter how small is chosen, some pair x, satisfies |x-y|<δ while ||≥ε₀; the important structural point is that ε₀ is chosen once and for all, whereas the witnessing pair may depend on δ. The script adds: the key change is the reversal of quantifiers — one fixed positive ε₀ defeats all possible δ.