Differentiation (P1.12 & P2.9) Flashcards

1
Q

what is the gradient of a curve at a given point defined as?

A

the gradient of the tangent to the curve at that point

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2
Q

as point B moves closer to point A on the curve, what happens to the gradient of chord AB?

A

gets closer to the gradient of the tangent to the curve at A

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3
Q

label graph with x0, x0+h & the coordinates of A & B

A

pg 259 P1 textbook

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4
Q

differentiate from first principles

A
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5
Q

what is the derivative of the quadratic ax^2 + bx + c?

A

straight line with the gradient 2a
crosses the x-axis once at the point where the quadratic curve has 0 gradient = the turning point of the quadratic graph

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6
Q

what is the equation of the normal to the curve y=f(x) at the point with coordinates (a, f(a))?

A

y-f(a) = -1/f’(a) (x-a)
like y-y1 = m(x-x1)

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7
Q

describe how to use the derivative to determine whether a function is increasing or decreasing on a given interval

A

the function f(x) is increasing on the interval [a,b] if f’(x)≥0 when a<x<b

the function is decreasing when f’(x)≤0

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8
Q

what does differentiating a function twice show?

A

the rate of change of the gradient
= second order derivative

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9
Q

f’‘(x) =

A

d^2y / dx^2

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10
Q

what is a stationary point & different types?

A

any point where the curve has gradient zero
local maximum, local minimum, point of inflection

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11
Q

complete table of type of stationary point, f’(x-h), f’(x) & f’(x+h)

A

see P1 textbook pg 273

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12
Q

show the different types of stationary points graphically

A

see P1 pg 273

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13
Q

how can the second derivative be used to determine the nature of a stationary point?

A

if function f(x) has stationary point at x=a
f’‘(a) > 0 point is a local minimum
f’‘(a) < 0 point is a local maximum
f’‘(a) = 0 point could be local max, min or point of inflection –> must look at points either side to determine its nature

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14
Q

how can second derivatives be used to determine whether a curve is concave or convex on a given domain?

A

concave: f’‘(x) ≤ 0 looks like a cave on graph ∩
convex: f’‘(x) ≥ 0 looks like the V on graph ∪

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15
Q

define point of inflection

A

the point at which a curve changes from being concave to convex or vice versa
= the point at which f’‘(x) changes sign

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16
Q

when sketching gradient functions, what features of the graph y=f’(x) correspond with the following y=f(x) features?
maximum/minimum
point of inflection
+ve gradient
-ve gradient
vertical asymptote
horizontal asymptote

A

cuts the x-axis
touches the x-axis
above the x-axis
below the x-axis
vertical asymptote
horizontal asymptote at x-axis

17
Q

differentiate y = sinx from first principles

A
18
Q

differentiate y = cosx from first principles

A
19
Q

what small angle approximations are used in differentiating sinx & cosx from first principles?

A

sinx ~ x
cosx ~ 1 - 1/2(x^2)

20
Q

what do sinx & cosx differentiate to?

A

sinx –> cosx
cosx –> -sinx

21
Q

f(x) = ln(f(x))
f’(x) =

A

f’(x)/f(x)

22
Q

f(x) = a^kx
f’(x) =

A

a^kx . k . lna

23
Q

chain rule

A

dy/dx = dy/du x du/dx
f’(g(x))g’(x)
n(f(x))^n-1f’(x)

24
Q

product rule f(x)g(x)

A

f’(x)g(x) + f(x)g’(x)

25
Q

quotient rule u/v

A

vu’ - uv’ / v^2

26
Q

parametric differentiation equation

A

dy/dx = dy/dt / dx/dt

27
Q

d/dx (f(y)) =

A

f’(y) dy/dx

28
Q

d/dx (y^n) =

A

ny^n-1 dy/dx
chain rule

29
Q

d/dx (xy) =

A

x dy/dx + y
product rule

30
Q

d/dx (x/y) =

A

y-x.dy/dx / y^2
quotient rule

31
Q

how do you connect rates of change involving more than 2 variables?

A

using chain rule to form differential equations

32
Q

forming differential equations

A