Calculus
This is a topic ties every things about (functions and graphs) together.
We're mainly concerned with two parts:
- Derivative (Differentiation)
- 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.
- "what is the derivative at x=n" you can under stand as "what is the gradient when x=n"
- "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
=Newton Derivative of Polynomial Functions=
- The sum rule
- The Difference Rule
- The Product Rule
- The Quotient Rule
=Leibniz Derivative of Polynomial Functions=
- The sum rule
- The Difference Rule
- The Product Rule
- The Quotient Rule
- Newton Chain rule
- Leibniz Chain rule
- Natural log of :
- log of :
Higher Derivatives
- Second derivatives
Newton Higher Derivatives
- function
- first derivative
- Second derivatives
- Third derivatives
- 4th derivatives
- function
- first derivative
- second derivatives
- third derivatives
- 4th derivatives
From the zero derivative to sixth derivative there is a meaning on the graph
- No derivative function = Position
- first derivative = Velocity
- second derivative = Acceleration
- third derivative = Jerk
- fourth derivative = Snap
- fifth derivative = crackle/flounce
- 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.
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).
- When a first derivative is positive, the original function is increasing.
- When a first derivative is negative, the original function is decreasing.
- The derivative does not tell us if the function is positive or negative, only if increasing or decreasing.
- When a second derivative is positive, the original function is concave up.
- When a second derivative is negative, the original function is concave down.
- When a first derivative hits zero from below the axis, the original function is at a(n) local minimum.
- When a second derivative is zero, the original function is at a(n) inflection point.
- L'Hospital's Rule 1
- L'Hospital's Rule 2
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.
- Hint F(x) is not equal to f(x).
- Definite Integral
- Indefinite Integral
- sum rule of Indefinite Integral
- The Difference Rule
- Performing Integration By Parts #
When you get a Integral like this
- Definite Integral from a to infinite
- Definite Integral from negative infinite to b
- Definite Integral from negative infinite to infinite
- Definite Integral under and above the curve
if f(x) = upper function and g(x) = lower function
Kinematics is a type of physics
Physics terms
- displacement (m)
- velocity (m/s)
Reference
- IB Maths AA SL/HL calculus
- Calculus by Professor Dave Explains