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Calculus (IB)

The document covers key concepts in calculus, focusing on differentiation and integration. It includes definitions, rules, applications, and techniques for both derivatives and integrals, as well as their applications in solving real-world problems. Additionally, it discusses notable derivatives, implicit differentiation, and the fundamental theorem of calculus.

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0% found this document useful (0 votes)
14 views3 pages

Calculus (IB)

The document covers key concepts in calculus, focusing on differentiation and integration. It includes definitions, rules, applications, and techniques for both derivatives and integrals, as well as their applications in solving real-world problems. Additionally, it discusses notable derivatives, implicit differentiation, and the fundamental theorem of calculus.

Uploaded by

xavafib412
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Calculus (IB)

Differentiation
1.1. Definition of the Derivative:
The derivative of a function represents the rate of change of that function at a given
point.
It measures how the function's output changes concerning its input.
1.2. Rules of Differentiation:
Power Rule: If f (x) = xn , then f (x) = xn−1
Product Rule: If f (x) = g(x) ∗ h(x), then f ’(x) = g’(x) ∗ h’(x) + g(x) ∗ h(x)
Quotient Rule: If h(x)
g(x)
​ , then f ’(x) = g’(x)∗h(x)−g(x)∗h’(x)
[h(x)] 2 ​

Chain Rule: If f (x) = g(h(x)), then f (x) = g′ (h(x)) ∗ h′ (x)


1.3. Finding Derivatives of Elementary Functions:


Derivatives of basic functions like polynomials, trigonometric functions, exponential
functions, and logarithmic functions.
1.4. Applications of Derivatives:
Finding Maxima/Minima: Use derivatives to find critical points and determine whether
they correspond to maxima, minima, or points of inflection.
Optimization: Use derivatives to optimize functions, such as maximizing profit or
minimizing cost.
Related Rates: Use derivatives to solve problems involving rates of change in related
variables.
1.5. Notable Derivatives:
d x
(e ) = ex

dx
d 1
​(ln(x)) = ​

dx x
d
(sin(x)) = cos(x)

dx
d
(cos(x)) = −sin(x)

dx

1.6. Implicit Differentiation:


Technique used to find the derivative of an implicitly defined function.
1.7. Higher Order Derivatives:
Second and higher derivatives denote rates of change of rates of change
(acceleration, jerk, etc.).
1.8. Derivatives in Graphical Analysis:
Interpretation of the slope of the tangent line as the derivative at a point.
Derivative as a measure of the rate of change of a function's graph.
Integration:
2.1. Indefinite Integrals:
The indefinite integral of a function represents a family of antiderivatives or primitives.
Denoted as ∫ f (x)dx, where f (x) is the integrand and d(x) indicates the variable of
integration.
2.2. Basic Definite Integrals and Their Properties:
The definite integral of a function over an interval represents the signed area between
the graph of the function and the x-axis.
Denoted as ∫ab f (x)dx, where a and b are the limits of integration.

Properties include linearity, the additive property, and the constant multiple property.
2.3. Integration Techniques:
Substitution: Involves substituting a new variable to simplify the integrand.
Integration by Parts: Involves applying the product rule for differentiation in reverse.
Partial Fractions: Used to integrate rational functions by decomposing them into
simpler fractions.
2.4. Applications of Integration:
Area under Curves: Use definite integrals to find the area between the curve and the x-
axis over a given interval.
Finding Volumes: Use definite integrals to find volumes of solids of revolution using
methods like disk/washer and shell methods.
2.5. Fundamental Theorem of Calculus (FTC):
Part 1: If f is continuous on [a, b] then the function F defined by F (x) = ∫ax f (t)dt is
continuous on (a, b) and differentiable on (a, b), and F ′ (x) = f (x)

Part 2: If F is an antiderivative of f on [a, b] then ∫ba f (x)dx = F (b) − F (a)


2.6. Applications of Integration in Geometry:


Arc Length: Use integrals to find the length of a curve.
Surface Area: Use integrals to find the surface area of a solid of revolution.
2.7. Numerical Integration:
Techniques such as the Trapezoidal Rule for approximating definite integrals when an
analytic solution is not feasible.
2.8. Integration in Graphical Analysis:
Interpretation of the integral as the accumulation of quantities represented by the
function's graph.
Applications of Differentiation and Integration:
3.1. Rate of Change Problems:
Definition: Use derivatives to analyze how one quantity changes concerning another.
Example: Speed of a moving object at a specific time, rate of change of population
growth, etc.
3.2. Optimization Problems:
Definition: Use derivatives to find maximum or minimum values of a function.
Example: Maximizing profit, minimizing cost, optimizing dimensions of a container, etc.
3.3. Area and Volume Problems:
Definition: Use integrals to find the area under a curve or the volume of a solid.
Example: Finding the area enclosed by a curve and the x-axis, calculating the volume
of a three-dimensional shape like a cylinder or cone.
3.4. Related Rates Problems:
Use derivatives to find the rate of change of one quantity with respect to another
related quantity.
Example: Rate at which the area of a circle is changing concerning its radius, rate of
change of the volume of a cone concerning its height, etc.
3.5. Motion Problems:
Definition: Use derivatives to analyze the motion of objects.
Example: Position, velocity, acceleration of an object at a given time, distance traveled
over a certain time interval, etc.

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