chapter 12 differentiation Flashcards
How would you differentiate from 1st principle if it was ^2
(x,x^2) (x+h), (x+h)^2 then work out the gradient.
What are two important aspects of differentiating from first principles.
Lim
h—0
Also as h—–0 2x+h——- 2x.
What gives you the coordinates when differentiating?
Sub into the original equation y=f(x)
How would you get the gradient after differentiating?
sub into dy/dx
What does it mean if a differentiating question asks for you to find the gradients of A and B at y= something
First factorise the quadratic and x can have two values at that y coordinate.
Then work out the gradient function and sub in to find gradient at that point.
How to work out the equation of a tangent to the curve at a point?
Differentiate the original curve.
Then sub in the point of x.
Then put that into the original y-y1=m(x-x1.
what is the relationship between tangents and normals?
They are perpendicular so the products of the gradient =-1
How to find the coordinates where the tangent to the curve meets the normal of the curve?
You work out the equation of the tangent then the equation of the normal and then solve them simultaneously.
What does an increasing or decreasing function noted as?
increasing f’(x) is greater than or equaled to zero.
Decreasing f’(x) is less than or equaled to zero.
What does a strictly increasing or decreasing function noted as?
Increasing strictly f’(x) is greater than zero.
Decreasing strictly f’(x) is less than zero.
What happens when the answer asks for an interval?
Put it in square brackets.
How would you find the interval when you do not have a graph?
Find the gradient function and then equate that to the inequality you are trying to satisfy.
What is a stationary point?
A stationary point has a gradient of 0.
What are the different types of stationary points?
Local maximum.
Point of inflexion (origin)
Local minimum.
How to check that points are minimum or maximum?
Get two coordinates .1 either side of the x and see how the gradient changes.
When gradient goes negative then positive it is min
When gradient is positive then negative.