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{{T}}
[[Category:English]]
[[Category:Limits and Continuity]]

{{BR}}
= Introduction =

Limits and continuity are central ideas in [[English:Calculus|calculus]]. A '''limit''' describes the value that a function approaches when its input approaches a chosen point, while '''continuity''' describes when a function behaves without a break at a point or across an interval. These ideas make it possible to define [[English:Derivative|derivatives]], justify many methods of [[English:Integral|integration]], analyze graphs, and reason precisely about change.

You will move from graphical and numerical intuition to symbolic methods and then to the formal epsilon–delta definition. You will also learn how to recognize different kinds of discontinuity and how continuity can guarantee the existence of solutions.

'''Recommended level:''' Grades 11–13. You should already be comfortable with functions, algebraic manipulation, graphing, inequalities, and basic trigonometry.

'''Learning goals:''' By the end of this aiMOOC, you should be able to interpret and calculate limits, compare one-sided and two-sided limits, explain continuity at a point and on an interval, classify discontinuities, use the Squeeze Theorem, apply the Intermediate Value Theorem, and explain the logic of an epsilon–delta argument.

[[File:Continuous and non-continuous function.svg|500px|frameless|center]]

{{#ev:youtube|https://www.youtube.com/watch?v=riXcZT2ICjA|500|center}}

{{BR}}
= Understanding Limits =

{{BR}}
== The Basic Idea ==

Suppose a function is written as <math>f(x)</math>. The statement

<math>\lim_{x\to a} f(x)=L</math>

means that the values of <math>f(x)</math> can be made as close as we want to <math>L</math> by taking <math>x</math> sufficiently close to <math>a</math>, without requiring <math>x=a</math>. The value <math>f(a)</math> may equal <math>L</math>, may be different from <math>L</math>, or may even be undefined. A limit is therefore about '''nearby behavior''', not merely the value at the point itself.

For example, let

<math>f(x)=\frac{x^2-1}{x-1}</math> for <math>x\ne 1</math>.

Factoring gives <math>x^2-1=(x-1)(x+1)</math>, so for every permitted input near 1, <math>f(x)=x+1</math>. Therefore,

<math>\lim_{x\to 1}\frac{x^2-1}{x-1}=2</math>,

even though the original expression is undefined at <math>x=1</math>.

A useful habit is to ask three separate questions: What is the function value? What do values from the left approach? What do values from the right approach? These answers need not be the same.

{{BR}}
== Numerical and Graphical Evidence ==

A table of values can suggest a limit by sampling inputs increasingly close to a target. A graph can show whether function values settle toward a common height. Neither a finite table nor a graph alone is a proof, because both show only limited information. They are excellent for forming a conjecture that can then be justified algebraically or logically.

When reading a graph, an open circle may indicate a missing function value, while a filled point may show the actual value of the function. The position of a single filled point does not change the limit if nearby values still approach the same number.

[[File:Epsilon-delta limit.svg|500px|frameless|center]]

{{BR}}
== One-Sided Limits ==

The '''left-hand limit'''

<math>\lim_{x\to a^-}f(x)</math>

describes what happens as <math>x</math> approaches <math>a</math> through values less than <math>a</math>. The '''right-hand limit'''

<math>\lim_{x\to a^+}f(x)</math>

uses values greater than <math>a</math>.

A finite two-sided limit exists precisely when both one-sided limits exist and are equal:

<math>\lim_{x\to a^-}f(x)=\lim_{x\to a^+}f(x)=L.</math>

If the one-sided limits are different, then the two-sided limit does not exist.

[[File:Upper semi.svg|500px|frameless|center]]

{{#ev:youtube|https://www.youtube.com/watch?v=nOnd3SiYZqM|500|center}}

{{BR}}
== Infinite Limits and Limits at Infinity ==

An expression such as

<math>\lim_{x\to a}f(x)=+\infty</math>

does not say that infinity is an ordinary real-number value. It means that <math>f(x)</math> becomes arbitrarily large and positive as <math>x</math> approaches <math>a</math>. This often signals a [[English:Vertical asymptote|vertical asymptote]].

By contrast,

<math>\lim_{x\to +\infty}f(x)=L</math>

describes the long-run behavior of a function as its input increases without bound. A finite value <math>L</math> can describe a [[English:Horizontal asymptote|horizontal asymptote]].

For example,

<math>\lim_{x\to +\infty}\frac{3x+1}{x+4}=3</math>,

because dividing numerator and denominator by <math>x</math> gives

<math>\frac{3+1/x}{1+4/x}</math>,

and both <math>1/x</math> and <math>4/x</math> approach zero.

{{BR}}
= Calculating Limits =

{{BR}}
== Direct Substitution and Limit Laws ==

If a function is continuous at the target point, direct substitution gives its limit. Polynomial functions are continuous everywhere, and rational functions are continuous wherever their denominators are nonzero.

If the relevant limits exist, the standard limit laws allow you to take limits through sums, differences, constant multiples, products, and quotients, provided the denominator limit is not zero. Powers and roots can also be handled under their usual domain conditions.

For example,

<math>\lim_{x\to 2}(x^2+3x-1)=4+6-1=9.</math>

{{BR}}
== Indeterminate Forms and Algebraic Simplification ==

Substitution sometimes produces <math>0/0</math>. This is an '''indeterminate form''', not a final answer. It signals that more analysis is needed.

Common techniques include factoring, canceling a common factor after respecting the original domain, combining fractions, and rationalizing expressions with square roots.

Example with factoring:

<math>\lim_{x\to 3}\frac{x^2-9}{x-3}=\lim_{x\to 3}(x+3)=6.</math>

Example with rationalization:

<math>\lim_{x\to 0}\frac{\sqrt{x+4}-2}{x}.</math>

Multiply numerator and denominator by <math>\sqrt{x+4}+2</math>. For <math>x\ne0</math>, the expression becomes

<math>\frac{1}{\sqrt{x+4}+2}</math>,

so the limit is <math>1/4</math>.

{{BR}}
== The Squeeze Theorem ==

The [[English:Squeeze theorem|Squeeze Theorem]] is useful when a function is trapped between two simpler functions with the same limit. If

<math>g(x)\le f(x)\le h(x)</math>

near <math>a</math>, and

<math>\lim_{x\to a}g(x)=\lim_{x\to a}h(x)=L</math>,

then <math>\lim_{x\to a}f(x)=L</math>.

For instance, because <math>-1\le\sin(1/x)\le1</math>, multiplying by <math>x^2\ge0</math> gives

<math>-x^2\le x^2\sin(1/x)\le x^2.</math>

Both outer expressions approach 0 as <math>x\to0</math>, so

<math>\lim_{x\to0}x^2\sin(1/x)=0.</math>

{{#ev:youtube|https://www.youtube.com/watch?v=igJdDN-DPgA|500|center}}

{{BR}}
= The Epsilon–Delta Definition =

{{BR}}
== From Intuition to Precision ==

The rigorous statement

<math>\lim_{x\to a}f(x)=L</math>

means:

For every <math>\varepsilon>0</math>, there exists a <math>\delta>0</math> such that whenever

<math>0<|x-a|<\delta</math>,

we have

<math>|f(x)-L|<\varepsilon</math>.

The number <math>\varepsilon</math> describes a requested tolerance around the output value <math>L</math>. The number <math>\delta</math> describes how close the input must stay to <math>a</math> to guarantee that output tolerance. The order of the quantifiers matters: the statement must work for '''every''' positive epsilon, and the delta may depend on epsilon.

[[File:Limit of real valued functions - delta epsilon, two real lines, correct case.svg|500px|frameless|center]]

If delta is chosen too large, some allowed inputs can produce outputs outside the requested epsilon band. The following diagram illustrates that failure.

[[File:Limit of real valued functions - delta epsilon, two real lines, incorrect case.svg|500px|frameless|center]]

{{#ev:youtube|https://www.youtube.com/watch?v=-ejyeII0i5c|500|center}}

{{BR}}
== A Short Epsilon–Delta Proof ==

To prove

<math>\lim_{x\to3}(2x+1)=7</math>,

start with the required output distance:

<math>|(2x+1)-7|=|2x-6|=2|x-3|.</math>

Given any <math>\varepsilon>0</math>, choose

<math>\delta=\varepsilon/2.</math>

Then if <math>0<|x-3|<\delta</math>,

<math>|(2x+1)-7|=2|x-3|<2\delta=\varepsilon.</math>

This proves the limit. Notice that the proof does not guess a numerical epsilon. It responds to an arbitrary positive tolerance with a delta that guarantees success.

{{BR}}
= Continuity =

{{BR}}
== Continuity at a Point ==

A function <math>f</math> is '''continuous at <math>x=c</math>''' when all three conditions hold:

# <math>f(c)</math> is defined.
# <math>\lim_{x\to c}f(x)</math> exists.
# <math>\lim_{x\to c}f(x)=f(c)</math>.

This makes continuity a direct connection between a function value and a limit.

Equivalently, using epsilon–delta language, <math>f</math> is continuous at <math>c</math> if for every <math>\varepsilon>0</math> there exists <math>\delta>0</math> such that

<math>|x-c|<\delta</math>

implies

<math>|f(x)-f(c)|<\varepsilon.</math>

[[File:Example of continuous function.svg|500px|frameless|center]]

{{#ev:youtube|https://www.youtube.com/watch?v=kdEQGfeC0SE|500|center}}

{{BR}}
== Continuity on Intervals ==

A function is continuous on an open interval if it is continuous at every point in that interval. On a closed interval <math>[a,b]</math>, continuity at the endpoints is interpreted one-sidedly: the right-hand limit at <math>a</math> must equal <math>f(a)</math>, and the left-hand limit at <math>b</math> must equal <math>f(b)</math>.

Sums, differences, products, and compositions of continuous functions are continuous wherever the expressions are defined. Quotients are continuous wherever the denominator is nonzero.

{{#ev:youtube|https://www.youtube.com/watch?v=ENIQiqxFpBc|500|center}}

{{BR}}
== Types of Discontinuity ==

A '''removable discontinuity''' occurs when a finite limit exists but the function value is missing or different from that limit. The gap can be repaired by redefining a single function value.

[[File:Removable-discontinuity.svg|500px|frameless|center]]

A '''jump discontinuity''' occurs when the finite left-hand and right-hand limits both exist but are unequal. No single value assigned at the point can make the function continuous there.

[[File:Jump discontinuity ladlag.svg|500px|frameless|center]]

An '''infinite discontinuity''' occurs when function values become unbounded near the point, often producing a vertical asymptote. An '''oscillatory discontinuity''' occurs when the function keeps varying without approaching a single value, as with <math>\sin(1/x)</math> near zero.

Understanding the type of discontinuity helps you decide whether a function can be repaired locally, whether a two-sided limit exists, and what graphical behavior to expect.

{{BR}}
= The Intermediate Value Theorem =

The [[English:Intermediate value theorem|Intermediate Value Theorem]] states that if <math>f</math> is continuous on a closed interval <math>[a,b]</math> and <math>N</math> lies between <math>f(a)</math> and <math>f(b)</math>, then there is at least one number <math>c</math> in <math>[a,b]</math> such that <math>f(c)=N</math>.

A particularly useful case concerns roots. If <math>f</math> is continuous on <math>[a,b]</math> and <math>f(a)</math> and <math>f(b)</math> have opposite signs, then at least one root lies between <math>a</math> and <math>b</math>.

For example, consider <math>f(x)=x^3+x-1</math> on <math>[0,1]</math>. We have <math>f(0)=-1</math> and <math>f(1)=1</math>. Since polynomials are continuous, the Intermediate Value Theorem guarantees at least one <math>c</math> in <math>(0,1)</math> with <math>f(c)=0</math>.

The theorem guarantees '''existence''', not uniqueness and not an exact location. Additional reasoning or a numerical method such as [[English:Bisection method|bisection]] is needed to narrow down the root.

[[File:Illustration for the intermediate value theorem.svg|500px|frameless|center]]

{{#ev:youtube|https://www.youtube.com/watch?v=9xgO-EJ3sr0|500|center}}

{{BR}}
= Why Limits and Continuity Matter =

Limits provide the logical foundation for instantaneous rates of change. The derivative

<math>f'(a)=\lim_{h\to0}\frac{f(a+h)-f(a)}{h}</math>

is itself defined by a limit. Definite integrals can also be defined as limits of increasingly fine sums.

Continuity is equally important in modeling. Temperature, position, and many idealized physical quantities are often modeled with continuous functions, while stepwise policies, digital signals, account balances, and piecewise control systems may contain jumps. A mathematical model should therefore not assume continuity automatically; the assumption should fit the phenomenon.

In numerical analysis, continuity supports existence arguments, error control, and root-finding methods. In physics and engineering, continuity assumptions help describe motion, fields, and system responses. In economics and statistics, limits appear in marginal analysis, asymptotics, and approximation.

{{BR}}
= Interactive Tasks =

{{BR}}
== Quiz: Test Your Knowledge ==

{{MC}}

'''What does a finite limit describe?'''
(The value a function approaches near a point)
(!The function value must be defined at the point)
(!The largest value of the function)
(!The slope of the function at every point)

{{E}}
<br>

{{MC}}

'''When does a finite two-sided limit exist?'''
(When the left-hand and right-hand limits exist and are equal)
(!When the function value is zero)
(!When the graph has a filled point)
(!When the left-hand limit is larger than the right-hand limit)

{{E}}
<br>

{{MC}}

'''Which statement is required for continuity at a point?'''
(The limit must equal the function value)
(!The function must be linear)
(!The function must have a vertical asymptote)
(!The function value must be positive)

{{E}}
<br>

{{MC}}

'''What is the limit of the expression x squared minus 9 over x minus 3 as x approaches 3?'''
(6)
(!0)
(!3)
(!9)

{{E}}
<br>

{{MC}}

'''What is the limit of the expression square root of x plus 4 minus 2 over x as x approaches 0?'''
(One fourth)
(!Zero)
(!One half)
(!Four)

{{E}}
<br>

{{MC}}

'''What is the main idea of the Squeeze Theorem?'''
(A trapped function has the same limit as two bounding functions with a common limit)
(!Every bounded function is continuous)
(!Every discontinuity can be removed)
(!Every limit can be found by substitution)

{{E}}
<br>

{{MC}}

'''Which description matches a removable discontinuity?'''
(A finite limit exists but the function value is missing or different)
(!The two one-sided limits are unequal)
(!The function grows without bound near the point)
(!The function is continuous everywhere)

{{E}}
<br>

{{MC}}

'''What can the Intermediate Value Theorem guarantee under its hypotheses?'''
(A continuous function attains every value between its endpoint values)
(!A continuous function has exactly one root)
(!Every function has a maximum)
(!Every rational function is continuous everywhere)

{{E}}
<br>

{{MC}}

'''In an epsilon–delta limit proof, what must happen for every positive epsilon?'''
(A suitable positive delta must be found)
(!Epsilon must equal delta)
(!The function value must equal zero)
(!The input must equal the target point)

{{E}}
<br>

{{MC}}

'''What does a limit of positive infinity near a point indicate?'''
(The function becomes arbitrarily large and positive)
(!Infinity is a real function value)
(!The function is constant)
(!The function has a removable hole)

{{E}}
<br>

{{BR}}
== Memory Game ==

<div class="memo-quiz">
{|
|-
| Limit || Value approached by a function near a chosen input
|-
| One-sided limit || Behavior observed from only one side of a point
|-
| Continuity || Agreement between a function value and its nearby limiting behavior
|-
| Removable discontinuity || A hole that can be repaired by redefining one value
|-
| Jump discontinuity || A break where finite left and right limits are unequal
|-
| Squeeze theorem || Principle for finding a limit by trapping a function between two others
|-
| Intermediate value theorem || Existence result for values between outputs of a continuous function
|}
{{E}}
<br>

{{BR}}
== Drag and Drop ==

<div class="lueckentext-quiz">

{| class="wikitable"
! Match the correct terms.
! Topic
|-
| '''Two-sided limit'''
| Equal left-hand and right-hand limiting values
|-
| '''Epsilon'''
| Requested tolerance in the output
|-
| '''Delta'''
| Allowed tolerance in the input
|-
| '''Removable discontinuity'''
| Finite limit with a missing or mismatched point value
|-
| '''Intermediate Value Theorem'''
| Continuity-based guarantee that intermediate outputs occur
|}
{{E}}

<br>
...
<br />

{{BR}}
== Crossword Puzzle ==

<div class="kreuzwort-quiz">
{|
|-
| Limit || What value does a function approach near a point?
|-
| Continuity || What property means nearby inputs produce compatible nearby outputs at a point?
|-
| Epsilon || What symbol names the output tolerance in a rigorous limit definition?
|-
| Delta || What symbol names the input tolerance chosen in response?
|-
| Squeeze || What theorem traps a function between two functions with a common limit?
|-
| Discontinuity || What is a point called where continuity fails?
|}
{{E}}
<br>

{{BR}}
== LearningApps ==

<iframe> https://learningapps.org/index.php?s=Limits+and+Continuity </iframe>

{{BR}}
== Cloze Text ==

<quiz display=simple>
{'''Complete the text.'''<br>
|type="{}"}
A { limit } describes the value that a function approaches as its input approaches a chosen point. A two-sided limit exists when the left-hand and right-hand limits are { equal }. A function is { continuous } at a point when its value is defined, its limit exists, and the two agree. In a rigorous limit definition, epsilon measures the permitted output { tolerance }. The corresponding input tolerance is called { delta }. An indeterminate form such as zero over zero often signals that algebraic { simplification } is needed. The { Squeeze Theorem } can determine a limit when a function is trapped between two functions with the same limit. A hole with an existing finite limit is a { removable } discontinuity. Unequal finite one-sided limits create a { jump } discontinuity. The Intermediate Value Theorem requires a function to be { continuous } on a closed interval. Under its hypotheses, the theorem guarantees that every output between the endpoint values is { attained } somewhere in the interval. Limits provide the foundation for the definition of a { derivative }.
</quiz>

<br>

{{BR}}
= Open-Ended Tasks =

{{BR}}
=== Easy ===
# [[English:Limit of a function|Limit Table Investigation]]: Build a table of inputs approaching one target from both sides for a rational function with a removable hole, predict the limit, and explain why the function value itself is not enough.
# [[English:One-sided limit|Graph Reading Poster]]: Create a one-page visual guide that shows how to read left-hand, right-hand, and two-sided limits from a graph, including one example where the two-sided limit fails.
# [[English:Continuity|Continuity Photo Hunt]]: Photograph or sketch three real-world situations that could reasonably be modeled continuously and one that contains a jump, then justify each classification.
# [[English:Discontinuity|Discontinuity Sort]]: Draw four small graphs representing removable, jump, infinite, and oscillatory discontinuities and write one sentence explaining the diagnostic feature of each.

{{BR}}
=== Standard ===
# [[English:Squeeze theorem|Squeeze Demonstration]]: Produce a short written or video explanation of why x squared times sine of one over x approaches zero, using upper and lower bounds rather than substitution.
# [[English:Continuous function|Sensor Data Study]]: Visit a school science lab or use a phone sensor to record a changing quantity over time, graph the data, and discuss whether a continuous model is reasonable at the measurement scale.
# [[English:Intermediate value theorem|Root Guarantee Investigation]]: Choose a polynomial with values of opposite sign at two endpoints, prove that a root exists between them, and then approximate the root by repeated interval halving.
# [[English:Mathematical proof|Peer Interview on Proof]]: Interview a classmate about the difference between graphical evidence and proof for limits, summarize their reasoning, and improve one claim by adding a precise mathematical justification.

{{BR}}
=== Advanced ===
# [[English:Epsilon-delta definition|Epsilon–Delta Proof Portfolio]]: Write rigorous epsilon–delta proofs for two linear limits and one simple quadratic limit, explaining how each delta choice is constructed from the requested epsilon.
# [[English:Piecewise function|Piecewise Continuity Design]]: Create a piecewise function with at least three formulas and choose parameters so that it is continuous at one join but discontinuous at another; verify both claims with limits.
# [[English:Mathematical model|Modeling Assumption Critique]]: Compare a continuous model and a stepwise model for the same real process, explain where each is useful, and identify what conclusions would change if continuity were assumed incorrectly.
# [[English:Calculus|Mini-Lesson Production]]: Create a five-minute teaching video or narrated slide sequence that connects limits, continuity, and derivatives, including one worked example, one common misconception, and one transfer question.

{{:Open Task - Create a MOOC}}

{{BR}}
= Learning Assessment =

# [[English:Limit laws|Method Selection]]: Given a mixed set of limits, decide whether direct substitution, factoring, rationalization, one-sided analysis, or the Squeeze Theorem is appropriate, and justify each choice before calculating.
# [[English:Continuity|Continuity Diagnosis]]: Analyze a piecewise function at every join point by checking the function value, the left-hand limit, the right-hand limit, and the two-sided limit, then classify each failure.
# [[English:Epsilon-delta definition|Quantifier Reasoning]]: Explain why the statement “for every epsilon there exists a delta” is stronger than checking a few numerical tolerances, and illustrate your explanation with a linear function.
# [[English:Intermediate value theorem|Existence Without Exact Solution]]: Use the Intermediate Value Theorem to prove that an equation has a solution in a stated interval, then explain why the theorem alone does not determine uniqueness or the exact root.
# [[English:Mathematical model|Transfer to Modeling]]: Evaluate whether continuity is a defensible assumption in a supplied real-world model, identify a possible discontinuity, and explain how that discontinuity would affect predictions.
# [[English:Derivative|Concept Connection]]: Explain how the limit definition of the derivative depends on nearby behavior and why differentiability at a point implies continuity there, while continuity alone does not guarantee differentiability.

<br>
<br>

{{BR}}
= Evidence of Learning =

# '''Knowledge''': You can define finite limits, one-sided limits, infinite limits, continuity, and the main types of discontinuity using correct mathematical language.
# '''Procedural skill''': You can calculate limits using substitution, limit laws, factoring, rationalization, and the Squeeze Theorem where appropriate.
# '''Graphical reasoning''': You can infer one-sided behavior and continuity from graphs while recognizing that visual evidence alone is not a proof.
# '''Proof skill''': You can construct and explain elementary epsilon–delta arguments and identify the logical roles of epsilon and delta.
# '''Theorem use''': You can verify the hypotheses of the Intermediate Value Theorem before drawing an existence conclusion.
# '''Products''': Your work includes clear graphs, written proofs, mathematical explanations, and at least one project or presentation that communicates a limit or continuity concept.
# '''Transfer''': You can decide whether continuity is a reasonable modeling assumption in a new context and explain how limits support later ideas in calculus.

<br>
<br>

{{BR}}
= OERs on the Topic =

The following English-language open resources provide further background on the main concepts.

<iframe> https://en.m.wikipedia.org/wiki/Limit_of_a_function </iframe>

<br>

<iframe> https://en.m.wikipedia.org/wiki/Continuous_function </iframe>

<br>

{{BR}}
= Linked Learning Areas =

Limits and continuity connect algebraic manipulation, graph interpretation, proof, numerical approximation, derivatives, integrals, mathematical modeling, and numerical methods. The navigation table below links the main ideas so that you can revisit prerequisites or continue into later calculus topics.

{| align=center
{{:D-Tab}}
'''[[English:Limits and Continuity|Limits and Continuity]]'''
# [[English:Limit of a function|Limit of a function]]
# [[English:One-sided limit|One-sided limit]]
# [[English:Squeeze theorem|Squeeze theorem]]
# [[English:Epsilon-delta definition|Epsilon-delta definition]]
# [[English:Continuous function|Continuous function]]
# [[English:Discontinuity|Discontinuity]]
# [[English:Intermediate value theorem|Intermediate value theorem]]
# [[English:Derivative|Derivative]]
# [[English:Integral|Integral]]
# [[English:Numerical analysis|Numerical analysis]]
|}

{{BR}}
= aiMOOC Projects =
[[Category:English]]
[[Category:Limits and Continuity]]
[[Category:Mathematics]]
[[Category:Calculus]]
[[Category:Mathematical analysis]]
[[Category:Grades 11-13]]
[[Category:AI_MOOC]]
[[Category:GPT aiMOOC]]
{{MT}}

English:Limits and Continuity - Versionsgeschichte

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