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{{T}}
[[Category:English]]
[[Category:Introduction to Differential Calculus]]

{{BR}}
= Introduction =

Differential calculus is the mathematics of '''instantaneous change'''. It gives you tools for describing how quickly a quantity changes at a particular moment and how the graph of a function behaves near a point. Its central idea is the [[English:Derivative|derivative]], which connects algebra, geometry, limits, and real-world rates such as velocity, growth, marginal cost, and changing temperature.

This aiMOOC is designed for '''Grades 11–13'''. You should already be comfortable with [[English:Functions|Functions]], coordinate geometry, algebraic manipulation, powers, and basic trigonometry. Familiarity with [[English:Limits|Limits]] is helpful, but the key limit ideas are reviewed here.

By the end of the course, you should be able to explain derivatives conceptually, calculate derivatives from first principles and with standard rules, interpret derivative graphs, solve rate-of-change and optimization problems, and justify your reasoning.

[[File:Tangent line to a curve.svg|500px|frameless|center]]

The image shows the geometric meaning of a derivative: at a chosen point, the derivative gives the slope of the tangent line.

{{#ev:youtube|https://www.youtube.com/watch?v=N2PpRnFqnqY|500|center}}

{{BR}}
== Why Differential Calculus Matters ==

Many questions ask about change. A car's speed changes from second to second. A company's cost changes as production changes. The height of a launched object changes with time. A population may grow faster in one period than in another. Differential calculus turns these situations into mathematical questions about [[English:Rate of change|rates of change]].

An average rate of change compares two points:
<math>\frac{f(b)-f(a)}{b-a}</math>

An instantaneous rate of change asks what happens at one point. To define it precisely, you let the second point approach the first point. This limiting process produces the derivative.

{{BR}}
= Foundations: Slopes, Secants, and Limits =

{{BR}}
== Average Rate of Change and Secant Lines ==

For a function <math>y=f(x)</math>, choose two input values <math>x</math> and <math>x+h</math>. The corresponding change in output is <math>f(x+h)-f(x)</math>. The slope of the [[English:Secant line|secant line]] through the two graph points is

<math>\frac{f(x+h)-f(x)}{h}</math>.

This expression is called a '''difference quotient'''. It measures average change over an interval of width <math>h</math>.

[[File:Secant-calculus.svg|500px|frameless|center]]

{{BR}}
== From Secant to Tangent ==

To obtain the slope at a single point, make <math>h</math> approach zero. The second point moves toward the first, and the secant line approaches the [[English:Tangent|tangent line]] when the relevant limit exists.

[[File:Tangent animation.gif|500px|frameless|center]]

The animation visualizes a central idea of calculus: the tangent slope is not found by setting <math>h=0</math> in the difference quotient. Doing that would create division by zero. Instead, you examine the value approached as <math>h</math> tends to zero.

[[File:First principles differentiation demo.svg|500px|frameless|center]]

{{BR}}
== The Derivative from First Principles ==

The derivative of <math>f</math> at <math>x</math> is defined by

<math>f'(x)=\lim_{h\to 0}\frac{f(x+h)-f(x)}{h}</math>,

provided the limit exists.

For example, let <math>f(x)=x^2</math>:

<math>\begin{aligned}
f'(x)
&=\lim_{h\to 0}\frac{(x+h)^2-x^2}{h}\\
&=\lim_{h\to 0}\frac{2xh+h^2}{h}\\
&=\lim_{h\to 0}(2x+h)\\
&=2x.
\end{aligned}</math>

So the derivative of <math>x^2</math> is <math>2x</math>. At <math>x=3</math>, the tangent slope is <math>f'(3)=6</math>.

{{#ev:youtube|https://www.youtube.com/watch?v=rAof9Ld5sOg|500|center}}

{{BR}}
= Understanding the Derivative =

{{BR}}
== Geometric Interpretation ==

Geometrically, <math>f'(a)</math> is the slope of the tangent line to <math>y=f(x)</math> at <math>x=a</math>. The tangent line gives the best local linear approximation to a differentiable curve near that point.

The tangent line at <math>x=a</math> has equation

<math>y-f(a)=f'(a)(x-a)</math>.

This equation is useful when you need a simple linear model near a known point.

[[File:Derivative with tangent.svg|500px|frameless|center]]

{{BR}}
== Rate-of-Change Interpretation ==

If <math>s(t)</math> gives position as a function of time, then

<math>v(t)=s'(t)</math>

is instantaneous velocity. Differentiating again gives

<math>a(t)=v'(t)=s''(t)</math>,

the instantaneous acceleration.

The same structure appears in other subjects. If <math>C(q)</math> is cost as a function of quantity, then <math>C'(q)</math> is marginal cost. If <math>P(t)</math> is a population model, then <math>P'(t)</math> describes its instantaneous growth rate.

{{BR}}
== Derivative as a Function ==

A derivative is often itself a function. If <math>f(x)=x^2</math>, then <math>f'(x)=2x</math>. The original function tells you the output value; the derivative function tells you the local slope at each input where the derivative exists.

[[File:Graphical of x 2.png|500px|frameless|center]]

You can read qualitative information from the sign of the derivative:
# If <math>f'(x)>0</math> on an interval, <math>f</math> is increasing there.
# If <math>f'(x)<0</math> on an interval, <math>f</math> is decreasing there.
# If <math>f'(x)=0</math>, the point may be a local maximum, local minimum, or another stationary point.

A zero derivative alone does not prove that a point is a maximum or minimum. You need additional information, such as a sign change in <math>f'</math> or a suitable second-derivative test.

{{BR}}
= Differentiability and Continuity =

A function is '''differentiable at a point''' if its derivative exists there. Differentiability is stronger than continuity: if a function is differentiable at a point, then it is continuous there. The reverse is not always true.

For example, <math>f(x)=|x|</math> is continuous at <math>x=0</math>, but it is not differentiable there because the left-hand slope and right-hand slope do not agree.

Derivatives can fail to exist at corners, cusps, vertical tangents, discontinuities, or points where the necessary difference-quotient limit does not exist.

{{BR}}
= Core Differentiation Rules =

Using the limit definition every time would be inefficient. Standard differentiation rules let you calculate derivatives quickly while preserving the meaning established by the limit definition.

{{BR}}
== Constant, Power, Sum, and Difference Rules ==

For a constant <math>c</math>:
<math>\frac{d}{dx}(c)=0</math>.

For suitable powers:
<math>\frac{d}{dx}(x^n)=nx^{n-1}</math>.

For differentiable functions <math>f</math> and <math>g</math>:
<math>(f+g)'=f'+g'</math>
and
<math>(f-g)'=f'-g'</math>.

Example:
<math>\frac{d}{dx}(4x^5-3x^2+7)=20x^4-6x</math>.

{{BR}}
== Product Rule ==

For <math>y=f(x)g(x)</math>,

<math>y'=f'(x)g(x)+f(x)g'(x)</math>.

A common error is to multiply the derivatives. In general, <math>(fg)'\neq f'g'</math>.

Example:
<math>\frac{d}{dx}(x^2\sin x)=2x\sin x+x^2\cos x</math>.

{{#ev:youtube|https://www.youtube.com/watch?v=79ngr0Bur38|500|center}}

{{BR}}
== Quotient Rule ==

For <math>y=\frac{f(x)}{g(x)}</math>, where <math>g(x)\neq 0</math>,

<math>y'=\frac{f'(x)g(x)-f(x)g'(x)}{[g(x)]^2}</math>.

Example:
<math>\frac{d}{dx}\left(\frac{x^2+1}{x}\right)=\frac{2x\cdot x-(x^2+1)}{x^2}=\frac{x^2-1}{x^2}</math>.

{{BR}}
== Chain Rule ==

The [[English:Chain rule|chain rule]] differentiates composite functions. If <math>y=f(g(x))</math>, then

<math>\frac{dy}{dx}=f'(g(x))g'(x)</math>.

Example:
<math>\frac{d}{dx}(3x^2+1)^5=5(3x^2+1)^4\cdot 6x=30x(3x^2+1)^4</math>.

You can think of this as differentiating the outer function while keeping the inner function in place, then multiplying by the derivative of the inner function.

{{#ev:youtube|https://www.youtube.com/watch?v=0T0QrHO56qg|500|center}}

{{BR}}
== Selected Elementary Derivatives ==

Useful derivatives include:
# <math>\frac{d}{dx}(\sin x)=\cos x</math>
# <math>\frac{d}{dx}(\cos x)=-\sin x</math>
# <math>\frac{d}{dx}(e^x)=e^x</math>
# <math>\frac{d}{dx}(\ln x)=\frac{1}{x}</math> for <math>x>0</math>

These formulas combine with the product, quotient, and chain rules to differentiate many functions encountered in upper-secondary mathematics.

{{BR}}
= Higher Derivatives and Curve Behavior =

The derivative of a derivative is the '''second derivative''', written <math>f''(x)</math> or <math>\frac{d^2y}{dx^2}</math>. It measures how the first derivative changes.

When <math>f''(x)>0</math>, the graph is locally concave upward. When <math>f''(x)<0</math>, it is locally concave downward. A point where concavity changes is called an [[English:Inflection point|inflection point]].

For motion:
# Position is <math>s(t)</math>.
# Velocity is <math>s'(t)</math>.
# Acceleration is <math>s''(t)</math>.

Higher derivatives appear in mechanics, numerical methods, Taylor approximations, signal analysis, and models of changing systems.

{{BR}}
= Applications of Differential Calculus =

{{BR}}
== Tangent-Line Approximation ==

Near <math>x=a</math>, a differentiable function can be approximated by

<math>f(x)\approx f(a)+f'(a)(x-a)</math>.

For <math>f(x)=\sqrt{x}</math> near <math>a=4</math>, you have <math>f(4)=2</math> and <math>f'(4)=\frac14</math>. Therefore

<math>\sqrt{x}\approx 2+\frac14(x-4)</math>.

For <math>x=4.1</math>, this gives <math>\sqrt{4.1}\approx 2.025</math>.

{{BR}}
== Optimization ==

Many optimization problems ask you to maximize or minimize a quantity. A typical strategy is:
# Define the quantity to optimize as a function.
# Determine the relevant domain.
# Differentiate the function.
# Find critical points where the derivative is zero or undefined within the domain.
# Compare candidates, including relevant endpoints, and interpret the result.

Example: If a rectangle has perimeter <math>20</math>, write one side as <math>x</math> and the other as <math>10-x</math>. Its area is

<math>A(x)=x(10-x)=10x-x^2</math>.

Then <math>A'(x)=10-2x</math>. Setting <math>A'(x)=0</math> gives <math>x=5</math>, so the maximum-area rectangle is a square with side length <math>5</math>.

{{BR}}
== Motion and Instantaneous Change ==

Suppose <math>s(t)=t^3-6t^2+9t</math> gives position. Then

<math>v(t)=3t^2-12t+9</math>

and

<math>a(t)=6t-12</math>.

You can use these derivatives to identify when the object is moving forward or backward, when it is momentarily at rest, and how its velocity is changing.

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

{{BR}}
= Historical Perspective =

Modern calculus emerged in the seventeenth century. [[English:Isaac Newton|Isaac Newton]] and [[English:Gottfried Wilhelm Leibniz|Gottfried Wilhelm Leibniz]] developed major parts of calculus independently. Newton often framed change using quantities in motion, while Leibniz introduced influential notation such as <math>dy/dx</math>. Their work built on earlier ideas about tangents, areas, infinite processes, and rates of change.

[[File:Portrait of Sir Isaac Newton, 1689.jpg|320px|frameless|center]]

[[File:Gottfried Wilhelm Leibniz.jpg|320px|frameless|center]]

The modern limit-based foundation of calculus was developed more rigorously in later centuries. Today, derivatives are central across mathematics, physics, engineering, economics, computer science, biology, and many other fields.

{{BR}}
= Common Misconceptions and Study Strategies =

'''Misconception 1:''' A derivative is only a formula. In fact, it is simultaneously a limit, a slope, a local rate of change, and a function.

'''Misconception 2:''' <math>dy/dx</math> should always be treated as an ordinary fraction. In introductory single-variable calculus, it is best understood as derivative notation arising from a limiting ratio, even though the notation can be manipulated meaningfully in many later contexts.

'''Misconception 3:''' If <math>f'(a)=0</math>, then <math>a</math> must be a maximum or minimum. A horizontal tangent can also occur without an extremum.

'''Misconception 4:''' Continuity guarantees differentiability. A continuous graph can still have a corner or cusp.

A strong study routine combines four representations: formula, graph, table, and verbal interpretation. When you calculate a derivative, ask what its sign, size, and units mean in the original situation.

{{BR}}
= Interactive Tasks =

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

{{MC}}

'''What does the derivative of a position function represent?'''
(Instantaneous velocity)
(!Average position)
(!Total distance)
(!Constant acceleration)

{{E}}
<br>

{{MC}}

'''Which process defines a derivative from first principles?'''
(Taking the limit of a difference quotient)
(!Substituting zero directly into a denominator)
(!Multiplying two average rates)
(!Finding the area under a curve)

{{E}}
<br>

{{MC}}

'''What is the derivative of x to the fourth power?'''
(4x cubed)
(!x cubed)
(!4x to the fourth power)
(!3x squared)

{{E}}
<br>

{{MC}}

'''What is the derivative of a constant function?'''
(Zero)
(!One)
(!The constant itself)
(!Undefined everywhere)

{{E}}
<br>

{{MC}}

'''Which statement describes the product rule?'''
(Differentiate each factor once and add the two products)
(!Differentiate both factors and multiply the results)
(!Divide the first derivative by the second derivative)
(!Differentiate only the first factor)

{{E}}
<br>

{{MC}}

'''Which rule is designed for composite functions?'''
(Chain rule)
(!Constant rule)
(!Secant rule)
(!Endpoint rule)

{{E}}
<br>

{{MC}}

'''What does a positive derivative usually indicate on an interval?'''
(The function is increasing)
(!The function is constant)
(!The function is discontinuous)
(!The function is always negative)

{{E}}
<br>

{{MC}}

'''What is guaranteed if a function is differentiable at a point?'''
(It is continuous at that point)
(!It has a maximum at that point)
(!Its derivative is zero there)
(!Its graph is a straight line)

{{E}}
<br>

{{MC}}

'''What does the second derivative of a position function represent?'''
(Instantaneous acceleration)
(!Instantaneous position)
(!Average distance)
(!Constant speed)

{{E}}
<br>

{{MC}}

'''What is the slope of the tangent line to y equals f of x at x equals a?'''
(The derivative at a)
(!The function value at zero)
(!The average of all function values)
(!The second derivative at every point)

{{E}}
<br>

{{BR}}
== Memory Game ==

<div class="memo-quiz">
{|
|-
| Derivative || Instantaneous rate of change
|-
| Secant || Line through two points of a curve
|-
| Tangent || Local linear direction at a point
|-
| Limit || Value approached by a changing expression
|-
| Chain rule || Method for differentiating composite functions
|-
| Critical point || Candidate input for a local extremum
|}
{{E}}
<br>

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

<div class="lueckentext-quiz">

{| class="wikitable"
! Match the correct terms.
! Topic
|-
| '''Difference quotient'''
| Average rate of change over a shrinking interval
|-
| '''Power rule'''
| Efficient derivative rule for powers of x
|-
| '''Product rule'''
| Derivative method for a product of functions
|-
| '''Chain rule'''
| Derivative method for a composite function
|-
| '''Second derivative'''
| Rate of change of the first derivative
|}
{{E}}

<br>
Match each mathematical idea to its role, then explain one match in your own words.
<br />

{{BR}}
== Crossword Puzzle ==

<div class="kreuzwort-quiz">
{|
|-
| Derivative || What quantity gives an instantaneous rate of change?
|-
| Tangent || What line represents the local slope of a differentiable curve?
|-
| Secant || What line joins two points on a curve?
|-
| Limit || What concept describes a value approached by an expression?
|-
| Velocity || What derivative of position describes instantaneous motion?
|-
| Continuity || What property is guaranteed by differentiability at a point?
|}
{{E}}
<br>

{{BR}}
== LearningApps ==

<iframe> https://learningapps.org/index.php?s=Introduction+to+Differential+Calculus </iframe>

{{BR}}
== Cloze Text ==

<quiz display=simple>
{'''Complete the text.'''<br>
|type="{}"}
The central object in differential calculus is the { derivative }. A secant line measures an { average } rate of change between two points. Letting the second point approach the first uses a { limit }. The derivative at a point gives the slope of the { tangent } line. The derivative of a constant is { zero }. The rule for differentiating a product is the { product } rule. A composite function is differentiated with the { chain } rule. A positive first derivative usually indicates that a function is { increasing }. The derivative of position with respect to time is { velocity }. Differentiability at a point guarantees { continuity } there.
</quiz>

<br>

{{BR}}
= Open-Ended Tasks =

{{BR}}
=== Easy ===
# [[English:Slope Hunt|Slope Hunt]]: Find three examples of changing quantities in daily life, identify the input and output variables, and explain what an instantaneous rate of change would mean in each case.
# [[English:Derivative Sketchbook|Derivative Sketchbook]]: Draw a smooth function by hand, mark five points, estimate the tangent slope at each point, and sketch a possible derivative graph.
# [[English:Motion Interview|Motion Interview]]: Interview a classmate about how speed differs from average speed, then write a short explanation that connects the discussion to derivatives.
# [[English:Tangent Video|Tangent Video]]: Produce a one-minute video using a graph or physical demonstration to explain how a secant line can approach a tangent line.

{{BR}}
=== Standard ===
# [[English:First Principles Investigation|First Principles Investigation]]: Use the limit definition to derive the derivative of a quadratic function of your choice and annotate every algebraic step.
# [[English:Optimization Poster|Optimization Poster]]: Design a poster that models and solves a realistic maximum-or-minimum problem, including assumptions, a derivative calculation, and an interpretation.
# [[English:Data Rate Study|Data Rate Study]]: Collect a small time-based data set such as cooling water, walking distance, or plant height, estimate rates of change, and compare average rates with an estimated instantaneous rate.
# [[English:Rule Comparison|Rule Comparison]]: Create a worked-example guide showing when to use the power, product, quotient, and chain rules, with one original example for each rule.

{{BR}}
=== Advanced ===
# [[English:Numerical Differentiation Experiment|Numerical Differentiation Experiment]]: Use a spreadsheet or short program to approximate a derivative with difference quotients for progressively smaller step sizes, then analyze accuracy and rounding effects.
# [[English:Modeling Project|Modeling Project]]: Build a differentiable model for a changing real-world quantity, justify your chosen function, compute and interpret its derivative, and discuss limitations of the model.
# [[English:Proof Workshop|Proof Workshop]]: Derive either the product rule or the derivative of a simple power from the limit definition, then present the reasoning to peers and respond to questions.
# [[English:Calculus Teaching Video|Calculus Teaching Video]]: Produce a five-minute teaching video that connects limits, derivative notation, a differentiation rule, and one application while anticipating at least two common misconceptions.

{{:Open Task - Create a MOOC}}

{{BR}}
= Learning Assessment =

# [[English:Conceptual Derivative Analysis|Conceptual Derivative Analysis]]: Given a graph of a function, explain where the derivative is positive, negative, zero, or undefined and justify each claim from the graph's local behavior.
# [[English:First Principles Transfer|First Principles Transfer]]: Derive the derivative of a new simple function from the limit definition and compare the result with the appropriate differentiation rule.
# [[English:Motion Reasoning|Motion Reasoning]]: Analyze a position function to determine intervals of forward and backward motion, rest times, and acceleration, then interpret every result in context.
# [[English:Optimization Decision|Optimization Decision]]: Build and solve an optimization model from a written scenario, justify the domain, identify all candidates, and explain why the selected solution is optimal.
# [[English:Derivative Graph Reconstruction|Derivative Graph Reconstruction]]: Given information about the sign and zeros of a derivative, sketch a plausible original function and explain which features are forced and which are optional.
# [[English:Model Critique|Model Critique]]: Evaluate a real-world derivative claim, check units and assumptions, identify possible limitations, and propose evidence that would strengthen the conclusion.

<br>
<br>

{{BR}}
= Evidence of Learning =

# '''Knowledge''': You can explain the derivative as a limit, tangent slope, instantaneous rate of change, and derivative function.
# '''Skills''': You can differentiate basic and composite functions using first principles and standard rules, and you can interpret first and second derivatives.
# '''Reasoning''': You can connect algebraic, graphical, numerical, and contextual representations and justify conclusions about increasing, decreasing, extrema, and concavity.
# '''Products''': You can produce worked solutions, graphs, a data investigation, an optimization model, and an explanatory media product using correct mathematical language.
# '''Transfer''': You can apply derivatives to unfamiliar problems in motion, science, economics, engineering, or other changing systems while checking units, assumptions, and reasonableness.

<br>
<br>

{{BR}}
= OERs on the Topic =

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

For further open study, you can also use [https://openstax.org/books/calculus-volume-1/pages/3-1-defining-the-derivative OpenStax Calculus Volume 1: Defining the Derivative] and related sections on derivative functions and differentiation rules.

<br>

{{BR}}
= Linked Learning Areas =

{| align=center
{{:D-Tab}}
'''[[English:Introduction to Differential Calculus|Introduction to Differential Calculus]]'''
# [[English:Functions|Functions]]
# [[English:Limits|Limits]]
# [[English:Derivative|Derivative]]
# [[English:Differentiability|Differentiability]]
# [[English:Differentiation rules|Differentiation rules]]
# [[English:Chain rule|Chain rule]]
# [[English:Tangent|Tangent]]
# [[English:Rate of change|Rate of change]]
# [[English:Optimization|Optimization]]
# [[English:Kinematics|Kinematics]]
|}

{{BR}}
= aiMOOC Projects =
[[Category:English]]
[[Category:Introduction to Differential Calculus]]
[[Category:Mathematics]]
[[Category:Calculus]]
[[Category:Differential calculus]]
[[Category:Grades 11-13]]
[[Category:Secondary education]]
[[Category:Physics]]
[[Category:AI_MOOC]]
[[Category:GPT aiMOOC]]
{{MT}}

English:Introduction to Differential Calculus - Versionsgeschichte

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