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Calculus

- Calculus
- Absolute Maxima and Minima
- Absolute and Conditional Convergence
- Accumulation Function
- Accumulation Problems
- Algebraic Functions
- Alternating Series
- Antiderivatives
- Application of Derivatives
- Approximating Areas
- Arc Length of a Curve
- Arithmetic Series
- Average Value of a Function
- Calculus of Parametric Curves
- Candidate Test
- Combining Differentiation Rules
- Combining Functions
- Continuity
- Continuity Over an Interval
- Convergence Tests
- Cost and Revenue
- Density and Center of Mass
- Derivative Functions
- Derivative of Exponential Function
- Derivative of Inverse Function
- Derivative of Logarithmic Functions
- Derivative of Trigonometric Functions
- Derivatives
- Derivatives and Continuity
- Derivatives and the Shape of a Graph
- Derivatives of Inverse Trigonometric Functions
- Derivatives of Polar Functions
- Derivatives of Sec, Csc and Cot
- Derivatives of Sin, Cos and Tan
- Determining Volumes by Slicing
- Direction Fields
- Disk Method
- Divergence Test
- Eliminating the Parameter
- Euler's Method
- Evaluating a Definite Integral
- Evaluation Theorem
- Exponential Functions
- Finding Limits
- Finding Limits of Specific Functions
- First Derivative Test
- Function Transformations
- General Solution of Differential Equation
- Geometric Series
- Growth Rate of Functions
- Higher-Order Derivatives
- Hydrostatic Pressure
- Hyperbolic Functions
- Implicit Differentiation Tangent Line
- Implicit Relations
- Improper Integrals
- Indefinite Integral
- Indeterminate Forms
- Initial Value Problem Differential Equations
- Integral Test
- Integrals of Exponential Functions
- Integrals of Motion
- Integrating Even and Odd Functions
- Integration Formula
- Integration Tables
- Integration Using Long Division
- Integration of Logarithmic Functions
- Integration using Inverse Trigonometric Functions
- Intermediate Value Theorem
- Inverse Trigonometric Functions
- Jump Discontinuity
- Lagrange Error Bound
- Limit Laws
- Limit of Vector Valued Function
- Limit of a Sequence
- Limits
- Limits at Infinity
- Limits of a Function
- Linear Approximations and Differentials
- Linear Differential Equation
- Linear Functions
- Logarithmic Differentiation
- Logarithmic Functions
- Logistic Differential Equation
- Maclaurin Series
- Manipulating Functions
- Maxima and Minima
- Maxima and Minima Problems
- Mean Value Theorem for Integrals
- Models for Population Growth
- Motion Along a Line
- Motion in Space
- Natural Logarithmic Function
- Net Change Theorem
- Newton's Method
- Nonhomogeneous Differential Equation
- One-Sided Limits
- Optimization Problems
- P Series
- Particle Model Motion
- Particular Solutions to Differential Equations
- Polar Coordinates
- Polar Coordinates Functions
- Polar Curves
- Population Change
- Power Series
- Ratio Test
- Removable Discontinuity
- Riemann Sum
- Rolle's Theorem
- Root Test
- Second Derivative Test
- Separable Equations
- Simpson's Rule
- Solid of Revolution
- Solutions to Differential Equations
- Surface Area of Revolution
- Symmetry of Functions
- Tangent Lines
- Taylor Polynomials
- Taylor Series
- Techniques of Integration
- The Fundamental Theorem of Calculus
- The Mean Value Theorem
- The Power Rule
- The Squeeze Theorem
- The Trapezoidal Rule
- Theorems of Continuity
- Trigonometric Substitution
- Vector Valued Function
- Vectors in Calculus
- Vectors in Space
- Washer Method
- Decision Maths
- Geometry
- 2 Dimensional Figures
- 3 Dimensional Vectors
- 3-Dimensional Figures
- Altitude
- Angles in Circles
- Arc Measures
- Area and Volume
- Area of Circles
- Area of Circular Sector
- Area of Parallelograms
- Area of Plane Figures
- Area of Rectangles
- Area of Regular Polygons
- Area of Rhombus
- Area of Trapezoid
- Area of a Kite
- Composition
- Congruence Transformations
- Congruent Triangles
- Convexity in Polygons
- Coordinate Systems
- Dilations
- Distance and Midpoints
- Equation of Circles
- Equilateral Triangles
- Figures
- Fundamentals of Geometry
- Geometric Inequalities
- Geometric Mean
- Geometric Probability
- Glide Reflections
- HL ASA and AAS
- Identity Map
- Inscribed Angles
- Isometry
- Isosceles Triangles
- Law of Cosines
- Law of Sines
- Linear Measure and Precision
- Median
- Parallel Lines Theorem
- Parallelograms
- Perpendicular Bisector
- Plane Geometry
- Polygons
- Projections
- Properties of Chords
- Proportionality Theorems
- Pythagoras Theorem
- Rectangle
- Reflection in Geometry
- Regular Polygon
- Rhombuses
- Right Triangles
- Rotations
- SSS and SAS
- Segment Length
- Similarity
- Similarity Transformations
- Special quadrilaterals
- Squares
- Surface Area of Cone
- Surface Area of Cylinder
- Surface Area of Prism
- Surface Area of Sphere
- Surface Area of a Solid
- Surface of Pyramids
- Symmetry
- Translations
- Trapezoids
- Triangle Inequalities
- Triangles
- Using Similar Polygons
- Vector Addition
- Vector Product
- Volume of Cone
- Volume of Cylinder
- Volume of Pyramid
- Volume of Solid
- Volume of Sphere
- Volume of prisms
- Mechanics Maths
- Acceleration and Time
- Acceleration and Velocity
- Angular Speed
- Assumptions
- Calculus Kinematics
- Coefficient of Friction
- Connected Particles
- Constant Acceleration
- Constant Acceleration Equations
- Converting Units
- Force as a Vector
- Kinematics
- Newton's First Law
- Newton's Law of Gravitation
- Newton's Second Law
- Newton's Third Law
- Projectiles
- Pulleys
- Resolving Forces
- Statics and Dynamics
- Tension in Strings
- Variable Acceleration
- Probability and Statistics
- Bar Graphs
- Basic Probability
- Charts and Diagrams
- Conditional Probabilities
- Continuous and Discrete Data
- Frequency, Frequency Tables and Levels of Measurement
- Independent Events Probability
- Line Graphs
- Mean Median and Mode
- Mutually Exclusive Probabilities
- Probability Rules
- Probability of Combined Events
- Quartiles and Interquartile Range
- Systematic Listing
- Pure Maths
- ASA Theorem
- Absolute Value Equations and Inequalities
- Addition and Subtraction of Rational Expressions
- Addition, Subtraction, Multiplication and Division
- Algebra
- Algebraic Fractions
- Algebraic Notation
- Algebraic Representation
- Analyzing Graphs of Polynomials
- Angle Measure
- Angles
- Angles in Polygons
- Approximation and Estimation
- Area and Circumference of a Circle
- Area and Perimeter of Quadrilaterals
- Area of Triangles
- Arithmetic Sequences
- Average Rate of Change
- Bijective Functions
- Binomial Expansion
- Binomial Theorem
- Chain Rule
- Circle Theorems
- Circles
- Circles Maths
- Combination of Functions
- Combinatorics
- Common Factors
- Common Multiples
- Completing the Square
- Completing the Squares
- Complex Numbers
- Composite Functions
- Composition of Functions
- Compound Interest
- Compound Units
- Conic Sections
- Construction and Loci
- Converting Metrics
- Convexity and Concavity
- Coordinate Geometry
- Coordinates in Four Quadrants
- Cubic Function Graph
- Cubic Polynomial Graphs
- Data transformations
- Deductive Reasoning
- Definite Integrals
- Deriving Equations
- Determinant of Inverse Matrix
- Determinants
- Differential Equations
- Differentiation
- Differentiation Rules
- Differentiation from First Principles
- Differentiation of Hyperbolic Functions
- Direct and Inverse proportions
- Disjoint and Overlapping Events
- Disproof by Counterexample
- Distance from a Point to a Line
- Divisibility Tests
- Double Angle and Half Angle Formulas
- Drawing Conclusions from Examples
- Ellipse
- Equation of Line in 3D
- Equation of a Perpendicular Bisector
- Equation of a circle
- Equations
- Equations and Identities
- Equations and Inequalities
- Estimation in Real Life
- Euclidean Algorithm
- Evaluating and Graphing Polynomials
- Even Functions
- Exponential Form of Complex Numbers
- Exponential Rules
- Exponentials and Logarithms
- Expression Math
- Expressions and Formulas
- Faces Edges and Vertices
- Factorials
- Factoring Polynomials
- Factoring Quadratic Equations
- Factorising expressions
- Factors
- Finding Maxima and Minima Using Derivatives
- Finding Rational Zeros
- Finding the Area
- Forms of Quadratic Functions
- Fractional Powers
- Fractional Ratio
- Fractions
- Fractions and Decimals
- Fractions and Factors
- Fractions in Expressions and Equations
- Fractions, Decimals and Percentages
- Function Basics
- Functional Analysis
- Functions
- Fundamental Counting Principle
- Fundamental Theorem of Algebra
- Generating Terms of a Sequence
- Geometric Sequence
- Gradient and Intercept
- Graphical Representation
- Graphing Rational Functions
- Graphing Trigonometric Functions
- Graphs
- Graphs and Differentiation
- Graphs of Common Functions
- Graphs of Exponents and Logarithms
- Graphs of Trigonometric Functions
- Greatest Common Divisor
- Growth and Decay
- Growth of Functions
- Highest Common Factor
- Hyperbolas
- Imaginary Unit and Polar Bijection
- Implicit differentiation
- Inductive Reasoning
- Inequalities Maths
- Infinite geometric series
- Injective functions
- Instantaneous Rate of Change
- Integers
- Integrating Polynomials
- Integrating Trig Functions
- Integrating e^x and 1/x
- Integration
- Integration Using Partial Fractions
- Integration by Parts
- Integration by Substitution
- Integration of Hyperbolic Functions
- Interest
- Inverse Hyperbolic Functions
- Inverse Matrices
- Inverse and Joint Variation
- Inverse functions
- Iterative Methods
- Law of Cosines in Algebra
- Law of Sines in Algebra
- Laws of Logs
- Limits of Accuracy
- Linear Expressions
- Linear Systems
- Linear Transformations of Matrices
- Location of Roots
- Logarithm Base
- Logic
- Lower and Upper Bounds
- Lowest Common Denominator
- Lowest Common Multiple
- Math formula
- Matrices
- Matrix Addition and Subtraction
- Matrix Determinant
- Matrix Multiplication
- Metric and Imperial Units
- Misleading Graphs
- Mixed Expressions
- Modulus Functions
- Modulus and Phase
- Multiples of Pi
- Multiplication and Division of Fractions
- Multiplicative Relationship
- Multiplying and Dividing Rational Expressions
- Natural Logarithm
- Natural Numbers
- Notation
- Number
- Number Line
- Number Systems
- Numerical Methods
- Odd functions
- Open Sentences and Identities
- Operation with Complex Numbers
- Operations with Decimals
- Operations with Matrices
- Operations with Polynomials
- Order of Operations
- Parabola
- Parallel Lines
- Parametric Differentiation
- Parametric Equations
- Parametric Integration
- Partial Fractions
- Pascal's Triangle
- Percentage
- Percentage Increase and Decrease
- Percentage as fraction or decimals
- Perimeter of a Triangle
- Permutations and Combinations
- Perpendicular Lines
- Points Lines and Planes
- Polynomial Graphs
- Polynomials
- Powers Roots And Radicals
- Powers and Exponents
- Powers and Roots
- Prime Factorization
- Prime Numbers
- Problem-solving Models and Strategies
- Product Rule
- Proof
- Proof and Mathematical Induction
- Proof by Contradiction
- Proof by Deduction
- Proof by Exhaustion
- Proof by Induction
- Properties of Exponents
- Proportion
- Proving an Identity
- Pythagorean Identities
- Quadratic Equations
- Quadratic Function Graphs
- Quadratic Graphs
- Quadratic functions
- Quadrilaterals
- Quotient Rule
- Radians
- Radical Functions
- Rates of Change
- Ratio
- Ratio Fractions
- Rational Exponents
- Rational Expressions
- Rational Functions
- Rational Numbers and Fractions
- Ratios as Fractions
- Real Numbers
- Reciprocal Graphs
- Recurrence Relation
- Recursion and Special Sequences
- Remainder and Factor Theorems
- Representation of Complex Numbers
- Rewriting Formulas and Equations
- Roots of Complex Numbers
- Roots of Polynomials
- Rounding
- SAS Theorem
- SSS Theorem
- Scalar Triple Product
- Scale Drawings and Maps
- Scale Factors
- Scientific Notation
- Second Order Recurrence Relation
- Sector of a Circle
- Segment of a Circle
- Sequences
- Sequences and Series
- Series Maths
- Sets Math
- Similar Triangles
- Similar and Congruent Shapes
- Simple Interest
- Simplifying Fractions
- Simplifying Radicals
- Simultaneous Equations
- Sine and Cosine Rules
- Small Angle Approximation
- Solving Linear Equations
- Solving Linear Systems
- Solving Quadratic Equations
- Solving Radical Inequalities
- Solving Rational Equations
- Solving Simultaneous Equations Using Matrices
- Solving Systems of Inequalities
- Solving Trigonometric Equations
- Solving and Graphing Quadratic Equations
- Solving and Graphing Quadratic Inequalities
- Special Products
- Standard Form
- Standard Integrals
- Standard Unit
- Straight Line Graphs
- Substraction and addition of fractions
- Sum and Difference of Angles Formulas
- Sum of Natural Numbers
- Surds
- Surjective functions
- Tables and Graphs
- Tangent of a Circle
- The Quadratic Formula and the Discriminant
- Transformations
- Transformations of Graphs
- Translations of Trigonometric Functions
- Triangle Rules
- Triangle trigonometry
- Trigonometric Functions
- Trigonometric Functions of General Angles
- Trigonometric Identities
- Trigonometric Ratios
- Trigonometry
- Turning Points
- Types of Functions
- Types of Numbers
- Types of Triangles
- Unit Circle
- Units
- Variables in Algebra
- Vectors
- Verifying Trigonometric Identities
- Writing Equations
- Writing Linear Equations
- Statistics
- Bias in Experiments
- Binomial Distribution
- Binomial Hypothesis Test
- Bivariate Data
- Box Plots
- Categorical Data
- Categorical Variables
- Central Limit Theorem
- Chi Square Test for Goodness of Fit
- Chi Square Test for Homogeneity
- Chi Square Test for Independence
- Chi-Square Distribution
- Combining Random Variables
- Comparing Data
- Comparing Two Means Hypothesis Testing
- Conditional Probability
- Conducting a Study
- Conducting a Survey
- Conducting an Experiment
- Confidence Interval for Population Mean
- Confidence Interval for Population Proportion
- Confidence Interval for Slope of Regression Line
- Confidence Interval for the Difference of Two Means
- Confidence Intervals
- Correlation Math
- Cumulative Frequency
- Data Analysis
- Data Interpretation
- Discrete Random Variable
- Distributions
- Dot Plot
- Empirical Rule
- Errors in Hypothesis Testing
- Events (Probability)
- Frequency Polygons
- Generalization and Conclusions
- Geometric Distribution
- Histograms
- Hypothesis Test for Correlation
- Hypothesis Test of Two Population Proportions
- Hypothesis Testing
- Inference for Distributions of Categorical Data
- Inferences in Statistics
- Large Data Set
- Least Squares Linear Regression
- Linear Interpolation
- Linear Regression
- Measures of Central Tendency
- Methods of Data Collection
- Normal Distribution
- Normal Distribution Hypothesis Test
- Normal Distribution Percentile
- Point Estimation
- Probability
- Probability Calculations
- Probability Distribution
- Probability Generating Function
- Quantitative Variables
- Quartiles
- Random Variables
- Randomized Block Design
- Residuals
- Sample Mean
- Sample Proportion
- Sampling
- Sampling Distribution
- Scatter Graphs
- Single Variable Data
- Standard Deviation
- Standard Normal Distribution
- Statistical Graphs
- Statistical Measures
- Stem and Leaf Graph
- Survey Bias
- Transforming Random Variables
- Tree Diagram
- Two Categorical Variables
- Two Quantitative Variables
- Type I Error
- Type II Error
- Types of Data in Statistics
- Venn Diagrams

Calculus is a fundamentally different type of math than other math subjects; calculus is dynamic, whereas other types of math are static. Simply put, calculus is the math of motion, the study of how things change. Or, for a more formal definition:

**Calculus **is the mathematical study of continuous change. It deals with rates of change and motion and has two branches:

- Differential Calculus
- Deals with rates of change of a function
- Explains a function at a specific point

- Integral Calculus
- Deals with areas under the graph of a function
- Gathers a total quantity of a function over a range

Before the invention of calculus, all math was static and was only really useful in describing objects that weren't moving. That's not very useful, is it? The vast majority of objects are always moving! From the smallest objects – electrons in atoms – to the largest ones, such as planets in the universe, no object is ever always at rest (and in many cases are never at rest). This is where calculus shines. It works in many fields where you wouldn't normally think math would matter. Calculus is used in physics, engineering, statistics, and even in life sciences and economics!

Did you know that...

The Latin word, *calculus*, means "pebble". Back in Roman times, it was common to use pebbles for simple calculations (like adding and subtracting), so the word *calculus *developed an association with computation. In fact, the English words *calculator *and *calculation *are derived from Latin *calculus*.

So, where does calculus come from? How did early mathematicians come up with these complex ideas?

Calculus was actually invented by two people. Sir Isaac Newton and Gottfried Leibniz, independently of each other, came up with the idea of calculus. While Sir Isaac Newton invented it first, we mainly use Gottfried Leibniz's notation today.

To get an idea of how you could invent calculus, let's start with a seemingly simple problem: to find the area of a circle. Now, we know the formula for the area of a circle:

But why is this the case? What kind of thought process leads to this observation? Well, say we don't know this formula. How can we try to find the area of a circle without it? To start, let's try breaking the circle into shapes whose areas are more simple to calculate.

And after trying to get more and more shapes so that less and less of the circle is left over, let's try a different idea: break the circle up into concentric rings.

That's great, but now what? Now, let's take just one of these rings, which has a smaller radius, that we will call , that is between 0 and 5.

From here, let's straighten out this ring.

With the ring straightened out, now we have a shape whose area is easier to find. But, what shape has an even easier area to find? A rectangle. For simplicity, we can actually approximate the shape of the straightened-out ring as a rectangle.

This rectangle has a width that is equal to the circumference of the ring, or , and a height of whatever smaller radius of that you chose earlier. Let's rename to , to represent a small **difference in radius** from one ring of the circle to the next one. So, what do we have now? We have a bunch of rings of the circle approximated as rectangles whose areas we know how to find! And, for smaller and smaller choices of (or breaking the circle into smaller and smaller rings), our approximation of the area of the ring becomes more and more accurate.

Calculus is all about **approximation**.

Let's go a step further and straighten out all the rings of the circle into rectangles and line them up side by side. Then, placing these rectangles on a graph of the line , we can see that each rectangle extends to the point where it just touches the line.

And for smaller and smaller choices of , we can see that the approximation of the total area of the circle becomes more accurate.

Now you might notice that as gets smaller, the number of rectangles gets quite large, and won't it be time-consuming to add all their areas together? Take another look at the graph, and you will also notice that the total areas of the rectangles actually look like the area underneath the line, which is a triangle!

We know the formula for the area of a triangle:

Which in this case would be:

Which is the formula for the area of a circle!

But wait, how did we get here? Let's take a step back and think about it. We had a problem that could be solved by **approximating **it with the sum of many smaller numbers, each of which looked like for values of R from 0 to 5. And that small number was **our choice of thickness** for each ring of the circle. There are two important things to take note of here:

Not only does play a role in the areas of the rectangles we are adding up, it also represents the spacing between the different values of R.

The smaller the choice for , the better the approximation. In other words, the smaller we make , the more accurate the answer will be.

By choosing smaller and smaller values for dr to better approximate the original problem, the sum of the total area of the rectangles **approaches the area under the graph**; and because of that, you can conclude that the answer to the original problem, un-approximated, is equal to the area under this graph.

These are some pretty interesting ideas, right? So now you might be wondering, why go through this effort for something as simple as finding the area of a circle? Well, let's think for a moment... Since we were able to find the area of a circle by reframing the question as finding the area under a graph, could we not also apply that to other, more complex graphs? The answer is, yes, we can! Say, for example, we take the graph of , a parabola.

How could we possibly find the area under a graph like this, say between the values of 0 and 5? This is a much more difficult problem, isn't it? And let's reframe this problem slightly: let's fix the left endpoint at 0 and let the right endpoint vary. Now the question is, can we find a function, let's call it , that gives us the area under the parabola between the left endpoint of 0 and the right endpoint of x?

This brings us to the first big topic of calculus: **integrals**. To use calculus vocabulary, the function we called is known as the **integral **of the function of the graph. In our case, would be the integral of . Or in a more mathematical notation:

As we progress through calculus, we will discover the tools that will help us find , but for now, what function represents is still a mystery. What we do know is that gives us the area under the parabola from a fixed left endpoint and a variable right endpoint. Now take a moment and think of what else we know about the relationship between and the graph, .

When we increase x by just a tiny bit, say by an amount we will call , we see a resulting change in the area under the graph, which we will call . This tiny **difference in area**, , can be approximated as a rectangle, just as we were able to approximate as a rectangle in our circle example. The rectangle approximation for , however, has a height of and a width of . And for smaller and smaller choices of , the approximation of the area under the graph becomes more and more accurate, just as with the circle example.

This gives us a new way to think about how is related to . Changing the output of by is about equal to , where is whatever you choose, times . This relationship can be rearranged to:

And, of course, this relationship becomes more and more accurate as we choose smaller and smaller values for . While the function is still a mystery to us, this relationship is key and, in fact, holds true for much more than just the graph of .

Any function that is defined as the area under some graph has the property that dA divided by dx is approximately equal to the height of the graph at that point. This approximation becomes more accurate for smaller choices of dx.

This brings us to the next big topic of calculus: **derivatives**. The relationship between , , and the function of the graph, , written as the ratio of divided by is equal to , is called the **derivative **of A. In mathematical notation:

Now, you may have noticed that the general formulas we've written for the derivative and integral look like they relate to each other. That's because they do! Derivatives and integrals are actually inverses of each other. In other words, a derivative can be used to find an integral and vice versa. The back-and-forth between integrals and derivatives where the derivative of a function for the area under a graph gives the function defining the graph itself is called the **Fundamental Theorem of Calculus**.

Let's summarize a bit. Generally speaking, a derivative is a measure of how sensitive a function is to small changes in its input, while an** **integral is a measure of some area under a graph. The Fundamental Theorem of Calculus links the two together and shows how they are inverses of each other.

Now that we have a solid idea of what calculus is and where it comes from let's dig a little deeper. We can gather from our examples in the previous section that there are some main concepts of calculus:

Calculus is all about approximation or becoming more accurate as some value approaches another value

There are two types of calculus:

Calculus that deals with derivatives or differential calculus

Calculus that deals with integrals, or integral calculus

There is a fundamental theorem of calculus, and it links differential and integral calculus together

Before we delve into the types of calculus, let's take a look at what sets calculus apart from other types of math: the idea of a **limit**. Remember in the previous section when we talked about choosing smaller and smaller values for either or ? When we consider these smaller and smaller values, we are improving the accuracy of our approximations by having or **approach zero**. Why not just use zero directly? Remember, the formula for the derivative of A is the **ratio **of divided by , and dividing by zero is impossible! This is where the limit comes in. The limit essentially allows us to see what the answer to a problem (for example, the area under a graph) should be as we get closer and closer to whatever value the limit is. In the case of our examples in the "Where Does Calculus Come From?" section, the limit was zero.

A **limit **is the **value **that a **function** **approaches **as its independent variable (usually x) **approaches **a certain value.

Differential calculus is the branch of calculus that deals with the rate of change of one quantity with respect to another quantity. In this branch, we divide things into smaller and smaller sections and study how they change from moment to moment.

**Derivatives **are how we measure rates of change. Specifically, derivatives measure the instantaneous rate of change of a function at a point, and the instantaneous rate of change of the function at a point is equal to the slope of the tangent line at that point.

When we know the rate of change of a function, integral calculus can be used to find a quantity. In this branch, we sum small sections of things together to discover their overall behavior.

**Integration **is the method we use in calculus to find the area either underneath a graph, or in between graphs.

The fundamental theorem of calculus links differential and integral calculus by stating that differentiation and integration are inverses of each other and is divided into two parts:

Part 1 – shows the relationship between derivatives and integrals

Part 2 – uses the relationship established in part 1 to show how to calculate an integral on a specific range

The definitions for the fundamental theorem of calculus are as follows:

**[1]** **Part 1 **of the **fundamental theorem of calculus** states that:

If a function, that we will call , is continuous on an interval of , and another function, that we will call , is defined as:

Then, on the same interval of .

**[2]** **Part 2** of the **fundamental theorem of calculus** states that:

If a function, that we will call , is continuous on an interval of , and another function, that we will call , is any antiderivative of , then:

Calculus has a wide variety, and a long history, of useful applications. In general, calculus is used in STEM (Science Technology Engineering Math) applications as well as in medicine, economics, and construction, just to name a few. A form of calculus was used back in ancient Egypt to build the pyramids! But the calculus we are learning today is the calculus that Sir Isaac Newton and Gottfried Leibniz developed in the seventeenth century.

AP Calculus is broken down into two courses, **AP Calculus AB** and **AP Calculus BC**. The difference between these two courses is that AP Calculus BC covers everything that AP Calculus AB covers, plus a couple of extra topics. Please have a look at our articles on each topic for a full study of AP Calculus!

The AP Calculus AB course covers many topics of calculus. A brief overview of them is listed below:

- Functions
- Limits and Continuity
- Derivatives
- Applications of Derivatives
- Integrals
- Applications of Integrals
- Differential Equations

The AP Calculus BC course covers everything that AP Calculus AB does, plus these extra topics:

- Sequences and Series
- Parametric Equations
- Polar Coordinates
- Vectors

- Calculus is the study of how things change - it deals with rates and changes of motion.
- There are two types of calculus - and they are inverses (or opposites) of each other:
- Differential Calculus
- Integral Calculus

- Differential calculus uses derivatives and is used to determine the rate of change of a quantity.
- Integral calculus uses integrals and is used to determine the quantity where the rate of change is known.
- The Fundamental Theorem of Calculus relates differential calculus to integral calculus as inverses of each other.
- The idea of a limit is what sets calculus apart from other areas of math.
- Calculus has many practical applications!
- AP Calculus is broken down into two courses:
- AP Calculus AB
- AP Calculus BC

**Calculus **is the mathematical study of continuous change. It deals with rates of change and motion and has two branches:

- Differential Calculus
- Deals with rates of change of a function
- Explains a function at a specific point

- Integral Calculus
- Deals with areas under the graph of a function
- Gathers a total quantity of a function over a range

**limit **in calculus is the value that a **function** **approaches **as its independent variable (usually x) approaches a certain value.

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