Difference between revisions of "Calculus"

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#Indefinite Integral <math>\int f(x) \,dx = F(x)+c,</math>
#Indefinite Integral <math>\int f(x) \,dx = F(x)+c,</math>


====Properties of Indefinite Integral====
====[[Properties of Indefinite Integral]]====
#sum rule of Indefinite Integral <math>\int [f(x)+g(x)] \,dx = \int f(x) \,dx + \int g(x) \,dx </math>
#sum rule of Indefinite Integral <math>\int [f(x)+g(x)] \,dx = \int f(x) \,dx + \int g(x) \,dx </math>
#The Difference Rule <math>\int [f(x)-g(x)] \,dx = \int f(x) \,dx - \int g(x) \,dx</math>
#The Difference Rule <math>\int [f(x)-g(x)] \,dx = \int f(x) \,dx - \int g(x) \,dx</math>


====Integrals With Trigonometric Functions====
====[[Integrals With Trigonometric Functions]]====
#<math>\int cosx \,dx = sinx + c </math>
#<math>\int cosx \,dx = sinx + c </math>
#<math>\int sin x \,dx = -cos x + c </math>
#<math>\int sin x \,dx = -cos x + c </math>

Revision as of 13:48, 2 September 2021

Calculus

Introduction to calculus: what is derivative and Integral

This is a topic ties every things about (functions and graphs) together.

We're mainly concerned with two parts:

  1. Derivative (Differentiation)
  2. Integrals (Integration)

Derivative is equal to rate of change. Most of the time we will us to present how one variable changes with another. The derivative is the gradient of a tangent line

But from the beginning we are going to talk about where do you want the derivative, the other way to say is I will give you a point and then tell me what's the derivative or gradient for that point.

From the beginning here is the concepts you need for calculus.

  1. "what is the derivative at x=n" you can under stand as "what is the gradient when x=n"
  2. "What is the Integral at x=a to x=b" you can under stand as "what is the area between the function and the x axis from x=a to x=b".

Conclusion (from the beginning )

derivative = gradient of a tangent = rate of change Integral = area under the function.

Differentiation

Derivative and Gradient

Limits

Power Rule

Derivative of Polynomial Functions

=Newton Derivative of Polynomial Functions=
  1. The sum rule
  2. The Difference Rule
  3. The Product Rule
  4. The Quotient Rule
=Leibniz Derivative of Polynomial Functions=
  1. The sum rule
  2. The Difference Rule
  3. The Product Rule
  4. The Quotient Rule

Derivative of Trigonometric Functions

Chain Rule

  1. Newton Chain rule
  2. Leibniz Chain rule

Derivatives of Logarithmic and Exponential Functions

  1. Natural log of  :
  2. log of  :

Higher Derivatives

  1. Second derivatives
Newton Higher Derivatives
  1. function
  2. first derivative
  3. Second derivatives
  4. Third derivatives
  5. 4th derivatives


Leibniz Higher Derivatives
  1. function
  2. first derivative
  3. second derivatives
  4. third derivatives
  5. 4th derivatives

Why do we need Higher Derivatives

From the zero derivative to sixth derivative there is a meaning on the graph

  1. No derivative function = Position
  2. first derivative = Velocity
  3. second derivative = Acceleration
  4. third derivative = Jerk
  5. fourth derivative = Snap
  6. fifth derivative = crackle/flounce
  7. sixth derivative = Pop

How to finding Local Maxima and Minima by Differentiation

Our example will be : And the graph will be the one at the side.

Screen Shot 2021-07-31 at 9.35.59 PM.png

Then we will need to use the derivatives to find the two point that has 0 slope we will also called it Local maxima and Local minima

Then we get x=2 an x=-2 so the, then we put them into the function.

so the first point will be local maxima it will be at (-2,17) and then local minima (2,-15).

Screen Shot 2021-07-31 at 9.55.12 PM.png

Graphing Functions and Their Derivatives

  1. When a first derivative is positive, the original function is increasing.
  2. When a first derivative is negative, the original function is decreasing.
    1. The derivative does not tell us if the function is positive or negative, only if increasing or decreasing.
  3. When a second derivative is positive, the original function is concave up.
  4. When a second derivative is negative, the original function is concave down.
  5. When a first derivative hits zero from below the axis, the original function is at a(n) local minimum.
  6. When a second derivative is zero, the original function is at a(n) inflection point.
Screen Shot 2021-08-03 at 9.35.59 PM.png


Limits and L'Hospital's Rule

  1. L'Hospital's Rule 1
  2. L'Hospital's Rule 2


Integration

Mathematicians have been playing with the concept of integration for ages, but it was until Newtons time that it was realized that integration and differentiation are inverse operations.

Integral

  1. Hint F(x) is not equal to f(x).
  2. Definite Integral
  3. Indefinite Integral

Properties of Indefinite Integral

  1. sum rule of Indefinite Integral
  2. The Difference Rule

Integrals With Trigonometric Functions

Reference

  1. IB Maths AA SL/HL calculus
  2. Calculus by Professor Dave Explains