Download presentation

Presentation is loading. Please wait.

Published byJaniya Swinney Modified over 3 years ago

1
www.mathsrevision.com Higher Unit 1 www.mathsrevision.com Finding the gradient for a polynomial Differentiating Brackets ( Type 1 ) Differentiating Harder Terms (Type 2) Differentiating with Leibniz Notation Equation of a Tangent Line ( Type 3 ) Increasing / Decreasing functions Max / Min and inflexion Points Curve Sketching Max & Min Values on closed Intervals Optimization Higher Outcome 3 Mind Map of Chapter Using differentiation (Application)

2
www.mathsrevision.com On a straight line the gradient remains constant, however with curves the gradient changes continually, and the gradient at any point is in fact the same as the gradient of the tangent at that point. The sides of the half-pipe are very steep(S) but it is not very steep near the base(B). B S Gradients & Curves Higher Outcome 3 Demo

3
www.mathsrevision.com A Gradient of tangent = gradient of curve at A B Gradient of tangent = gradient of curve at B Gradients & Curves Higher Outcome 3 Demo

4
www.mathsrevision.com Gradients & Curves Higher Outcome 3 For the function y = f(x) we do this by taking the point (x, f(x)) and another “very close point” ((x+h), f(x+h)). Then we find the gradient between the two. (x, f(x)) ((x+h), f(x+h)) True gradient Approx gradient To find the gradient at any point on a curve we need to modify the gradient formula

5
www.mathsrevision.com The gradient is not exactly the same but is quite close to the actual value We can improve the approximation by making the value of h smaller This means the two points are closer together. (x, f(x)) ((x+h), f(x+h)) True gradient Approx gradient Gradients & Curves Higher Outcome 3

6
www.mathsrevision.com We can improve upon this approximation by making the value of h even smaller. (x, f(x)) ((x+h), f(x+h)) True gradient Approx gradient So the points are even closer together. Gradients & Curves Higher Outcome 3

7
www.mathsrevision.com Higher Outcome 3 Derivative We have seen that on curves the gradient changes continually and is dependant on the position on the curve. ie the x-value of the given point. The process of finding the gradient is called DIFFERENTIATING or FINDING THE DERIVATIVE (Gradient) Differentiating Finding the GRADIENT Finding the rate of change

8
www.mathsrevision.com If the formula/equation of the curve is given by f(x) Then the derivative is called f '(x) - “f dash x” There is a simple way of finding f '(x) from f(x). f(x) f '(x) 2x 2 4x 4x 2 8x 5x 10 50x 9 6x 7 42x 6 x 3 3x 2 x 5 5x 4 x 99 99x 98 Derivative Higher Outcome 3 Have guessed the rule yet !

9
www.mathsrevision.com If f(x) = ax n n - 1 n Rule for Differentiating It can be given by this simple flow diagram... multiply by the power reduce the power by 1 then f '(x) = NB: the following terms & expressions mean the same GRADIENT,DERIVATIVE,RATE OF CHANGE,f '(x) Derivative Higher Outcome 3 ax

10
www.mathsrevision.com Rule for Differentiating To be able to differentiate it is VERY IMPORTANT that you are comfortable using indices rules Derivative Higher Outcome 3

11
www.mathsrevision.com Special Points (I) f(x) = ax (Straight line function) If f(x) = ax = ax 1 then f '(x) = 1 X ax 0 = a X 1 = a Index Laws x 0 = 1 So if g(x) = 12x then g '(x) = 12 Also using y = mx + c The line y = 12x has gradient 12, and derivative = gradient !! Higher Outcome 3

12
www.mathsrevision.com (II) f(x) = a, (Horizontal Line) If f(x) = a = a X 1 = ax 0 then f '(x) = 0 X ax -1 = 0 Index Laws x 0 = 1 So if g(x) = -2 then g '(x) = 0 Also using formula y = c, (see outcome 1 !) The line y = -2 is horizontal so has gradient 0 ! Special Points Higher Outcome 3

13
Name : Differentiation techniques Gradient = Rate of change = Differentiation

14
Calculus Revision Differentiate

15
Calculus Revision Differentiate

16
Calculus Revision Differentiate

17
www.mathsrevision.com Example 1 A curve has equation f(x) = 3x 4 Its gradient is f '(x) = 12x 3 f '(2) = 12 X 2 3 =12 X 8 = 96 Example 2 A curve has equation f(x) = 3x 2 Find the formula for its gradient and find the gradient when x = 2 Its gradient is f '(x) = 6x At the point where x = -4 the gradient is f '(-4) = 6 X -4 =-24 Derivative Higher Outcome 3 Find the formula for its gradient and find the gradient when x = -4

18
www.mathsrevision.com Example 3If g(x) = 5x 4 - 4x 5 then find g '(2). g '(x) = 20x 3 - 20x 4 g '(2) = 20 X 2 3 - 20 X 2 4 = 160 - 320 = -160 Derivative Higher Outcome 3

19
www.mathsrevision.com Example 4 h(x) = 5x 2 - 3x + 19so h '(x) = 10x - 3 and h '(-4) = 10 X (-4) - 3 = -40 - 3 = -43 Example 5 k(x) = 5x 4 - 2x 3 + 19x - 8, find k '(10). k '(x) = 20x 3 - 6x 2 + 19 So k '(10) = 20 X 1000 - 6 X 100 + 19 = 19419 Derivative Higher Outcome 3

20
www.mathsrevision.com Example 6 : Find the points on the curve f(x) = x 3 - 3x 2 + 2x + 7 where the gradient is 2. NB: gradient = derivative = f '(x) We need f '(x) = 2 ie 3x 2 - 6x + 2 = 2 or 3x 2 - 6x = 0 ie 3x(x - 2) = 0 ie 3x = 0 or x - 2 = 0 so x = 0 or x = 2 Now using original formula f(0) = 7 f(2) = 8 -12 + 4 + 7 = 7 Points are (0,7) & (2,7) Derivative Higher Outcome 3

21
Calculus Revision Differentiate

22
Calculus Revision Differentiate Straight line form Differentiate

23
Calculus Revision Differentiate Straight line form Differentiate

24
Calculus Revision Differentiate Chain Rule Simplify Straight line form

25
Calculus Revision Differentiate Straight line form Differentiate

26
Calculus Revision Differentiate Straight line form

27
Calculus Revision Differentiate Straight line form

28
www.mathsrevision.com Brackets Basic Rule: Break brackets before you differentiate ! Exampleh(x) = 2x(x + 3)(x -3) = 2x(x 2 - 9) = 2x 3 - 18x So h'(x) = 6x 2 -18 Higher Outcome 3

29
Calculus Revision Differentiate Multiply out Differentiate

30
Calculus Revision Differentiate multiply out differentiate

31
Calculus Revision Differentiate Straight line form multiply out Differentiate

32
Calculus Revision Differentiate multiply out Differentiate

33
Calculus Revision Differentiate multiply out Simplify Differentiate Straight line form

34
Calculus Revision Differentiate Straight line form Multiply out Differentiate

35
www.mathsrevision.com Fractions Reversing the above we get the following “rule” ! This can be used as follows ….. Higher Outcome 3

36
www.mathsrevision.com Example f(x) = 3x 3 - x + 2 x 2 = 3x - x -1 + 2x -2 f '(x) = 3 + x -2 - 4x -3 Fractions = 3x 3 - x + 2 x 2 x 2 x 2 = 3 + 1 - 4 x 2 x 3 Higher Outcome 3

37
Calculus Revision Differentiate Split up Straight line form Differentiate

38
www.mathsrevision.com If y is expressed in terms of x then the derivative is written as dy / dx. Leibniz Notation Leibniz Notation is an alternative way of expressing derivatives to f'(x), g'(x), etc. eg y = 3x 2 - 7x so dy / dx = 6x - 7. Example 19 Find dQ / dR NB: Q = 9R 2 - 15R -3 So dQ / dR = 18R + 45R -4 = 18R + 45 R 4 Q = 9R 2 - 15 R 3 Higher Outcome 3

39
www.mathsrevision.com Example 20 A curve has equation y = 5x 3 - 4x 2 + 7. Find the gradient where x = -2 ( differentiate ! ) gradient = dy / dx = 15x 2 - 8x if x = -2 then gradient = 15 X (-2) 2 - 8 X (-2) = 60 - (-16) = 76 Leibniz Notation Higher Outcome 3

40
www.mathsrevision.com Newton’s 2 nd Law of Motion s = ut + 1 / 2 at 2 where s = distance & t = time. Finding ds / dt means “diff in dist” “diff in time” ie speed or velocity so ds / dt = u + at but ds / dt = v so we getv = u + at and this is Newton’s 1st Law of Motion Real Life Example Physics Higher Outcome 3

41
www.mathsrevision.com A(a,b) y = mx +c y = f(x) Equation of Tangents tangent NB: at A(a, b) gradient of line = gradient of curve gradient of line = m (from y = mx + c ) gradient of curve at (a, b) = f (a) it follows that m = f (a) Higher Outcome 3

42
www.mathsrevision.com Higher Outcome 3 Equation of Tangents Example 21 Find the equation of the tangent line to the curve y = x 3 - 2x + 1 at the point where x = -1. Point: if x = -1 then y = (-1) 3 - (2 X -1) + 1 = -1 - (-2) + 1 = 2point is (-1,2) Gradient: dy / dx = 3x 2 - 2 when x = -1 dy / dx = 3 X (-1) 2 - 2 = 3 - 2 = 1 m = 1 Straight line so we need a point plus the gradient then we can use the formula y - b = m(x - a).

43
www.mathsrevision.com Now using y - b = m(x - a) we gety - 2 = 1( x + 1) or y - 2 = x + 1 or y = x + 3 point is (-1,2) m = 1 Equation of Tangents Higher Outcome 3

44
www.mathsrevision.com Example 22 Find the equation of the tangent to the curve y = 4 x 2 at the point where x = -2. (x 0) Also find where the tangent cuts the X-axis and Y-axis. Point:when x = -2 then y = 4 (-2) 2 = 4 / 4 = 1 point is (-2, 1) Gradient:y = 4x -2 so dy / dx = -8x -3 = -8 x 3 when x = -2 then dy / dx = -8 (-2) 3 = -8 / -8 = 1 m = 1 Equation of Tangents Higher Outcome 3

45
www.mathsrevision.com Now using y - b = m(x - a) we get y - 1 = 1( x + 2) or y - 1 = x + 2 or y = x + 3 AxesTangent cuts Y-axis when x = 0 so y = 0 + 3 = 3at point (0, 3) Tangent cuts X-axis when y = 0 so 0 = x + 3 or x = -3at point (-3, 0) Equation of Tangents Higher Outcome 3

46
www.mathsrevision.com Example 23 - (other way round) Find the point on the curve y = x 2 - 6x + 5 where the gradient of the tangent is 14. gradient of tangent = gradient of curve dy / dx = 2x - 6 so2x - 6 = 14 2x = 20x = 10 Put x = 10 into y = x 2 - 6x + 5 Givingy = 100 - 60 + 5= 45 Point is (10,45) Equation of Tangents Higher Outcome 3

47
www.mathsrevision.com Increasing & Decreasing Functions and Stationary Points Consider the following graph of y = f(x) ….. X y = f(x) abcdef+ + + + + - - 0 0 0 Higher Outcome 3

48
www.mathsrevision.com In the graph of y = f(x) The function is increasing if the gradient is positive i.e. f (x) > 0 when x < b or d < x < f or x > f. The function is decreasing if the gradient is negative and f (x) < 0 when b < x < d. The function is stationary if the gradient is zero and f (x) = 0 when x = b or x = d or x = f. These are called STATIONARY POINTS. At x = a, x = c and x = e the curve is simply crossing the X-axis. Increasing & Decreasing Functions and Stationary Points Higher Outcome 3

49
www.mathsrevision.com Example 24 For the function f(x) = 4x 2 - 24x + 19 determine the intervals when the function is decreasing and increasing. f (x) = 8x - 24 f(x) decreasing when f (x) < 0 so 8x - 24 < 0 8x < 24 x < 3 f(x) increasing when f (x) > 0so 8x - 24 > 0 8x > 24 x > 3 Check: f (2) = 8 X 2 – 24 = -8 Check: f (4) = 8 X 4 – 24 = 8 Increasing & Decreasing Functions and Stationary Points Higher Outcome 3

50
www.mathsrevision.com Example 25 For the curve y = 6x – 5/x 2 Determine if it is increasing or decreasing when x = 10. = 6x - 5x -2 so dy / dx = 6 + 10x -3 when x = 10 dy / dx = 6 + 10 / 1000 = 6.01 Since dy / dx > 0 then the function is increasing. Increasing & Decreasing Functions and Stationary Points y = 6x - 5 x 2 = 6 + 10 x 3 Higher Outcome 3

51
www.mathsrevision.com Example 26 Show that the function g(x) = 1 / 3 x 3 -3x 2 + 9x -10 is never decreasing. g (x) = x 2 - 6x + 9 = (x - 3)(x - 3)= (x - 3) 2 Since (x - 3) 2 0 for all values of x then g (x) can never be negative so the function is never decreasing. Squaring a negative or a positive value produces a positive value, while 0 2 = 0. So you will never obtain a negative by squaring any real number. Increasing & Decreasing Functions and Stationary Points Higher Outcome 3

52
www.mathsrevision.com Example 27 Determine the intervals when the function f(x) = 2x 3 + 3x 2 - 36x + 41 is (a) Stationary (b) Increasing (c) Decreasing. f (x) = 6x 2 + 6x - 36 = 6(x 2 + x - 6) = 6(x + 3)(x - 2) Function is stationary when f (x) = 0 ie 6(x + 3)(x - 2) = 0 ie x = -3 or x = 2 Increasing & Decreasing Functions and Stationary Points Higher Outcome 3

53
www.mathsrevision.com We now use a special table of factors to determine when f (x) is positive & negative. x-32 f’(x) + Function increasing when f (x) > 0ie x < -3 or x > 2 Function decreasing when f (x) < 0ie -3 < x < 2 Increasing & Decreasing Functions and Stationary Points Higher Outcome 3 - 0 + 0

54
www.mathsrevision.com Stationary Points and Their Nature Consider this graph of y = f(x) again X y = f(x) ab c + + + + + - - 0 0 0 Higher Outcome 3

55
www.mathsrevision.com This curve y = f(x) has three types of stationary point. When x = a we have a maximum turning point (max TP) When x = b we have a minimum turning point (min TP) When x = c we have a point of inflexion (PI) Each type of stationary point is determined by the gradient ( f(x) ) at either side of the stationary value. Stationary Points and Their Nature Higher Outcome 3

56
www.mathsrevision.com Maximum Turning point xa f(x) + 0 - Minimum Turning Point xb f(x) - 0 + Stationary Points and Their Nature Higher Outcome 3

57
www.mathsrevision.com Rising Point of inflexion xc f(x) + 0 + Other possible type of inflexion xd f(x) - 0 - Stationary Points and Their Nature Higher Outcome 3

58
www.mathsrevision.com Example 28 Find the co-ordinates of the stationary point on the curve y = 4x 3 + 1 and determine its nature. SP occurs when dy / dx = 0 so 12x 2 = 0 x 2 = 0 x = 0 Using y = 4x 3 + 1 if x = 0 then y = 1 SP is at (0,1) Stationary Points and Their Nature Higher Outcome 3

59
www.mathsrevision.com Nature Table x 0 dy / dx + So (0,1) is a rising point of inflexion. Stationary Points and Their Nature dy / dx = 12x 2 Higher Outcome 3 + 0

60
www.mathsrevision.com Example 29 Find the co-ordinates of the stationary points on the curve y = 3x 4 - 16x 3 + 24 and determine their nature. SP occurs when dy / dx = 0 So 12x 3 - 48x 2 = 0 12x 2 (x - 4) = 0 12x 2 = 0 or (x - 4) = 0 x = 0 or x = 4 Using y = 3x 4 - 16x 3 + 24 if x = 0 then y = 24 if x = 4 then y = -232 SPs at (0,24) & (4,-232) Stationary Points and Their Nature Higher Outcome 3

61
www.mathsrevision.com Nature Table x0 4 dy / dx - 0 - 0 + So (0,24) is a Point of inflexion and (4,-232) is a minimum Turning Point Stationary Points and Their Nature dy / dx =12x 3 - 48x 2 Higher Outcome 3

62
www.mathsrevision.com Example 30 Find the co-ordinates of the stationary points on the curve y = 1 / 2 x 4 - 4x 2 + 2 and determine their nature. SP occurs when dy / dx = 0 So 2x 3 - 8x = 0 2x(x 2 - 4) = 0 2x(x + 2)(x - 2) = 0 x = 0 or x = -2 or x = 2 Using y = 1 / 2 x 4 - 4x 2 + 2 if x = 0 then y = 2 if x = -2 then y = -6 SP’s at(-2,-6), (0,2) & (2,-6) if x = 2 then y = -6 Stationary Points and Their Nature Higher Outcome 3

63
www.mathsrevision.com Nature Table x0 dy / dx -22 - 0 + 0 - 0 + So (-2,-6) and (2,-6) are Minimum Turning Points and (0,2) is a Maximum Turning Points Stationary Points and Their Nature Higher Outcome 3

64
www.mathsrevision.com Curve Sketching Note: A sketch is a rough drawing which includes important details. It is not an accurate scale drawing. Process (a)Find where the curve cuts the co-ordinate axes. for Y-axis put x = 0 for X-axis put y = 0 then solve. (b)Find the stationary points & determine their nature as done in previous section. (c)Check what happens as x + / - . This comes automatically if (a) & (b) are correct. Higher Outcome 3

65
www.mathsrevision.com Dominant Terms Suppose that f(x) = -2x 3 + 6x 2 + 56x - 99 As x + / - (ie for large positive/negative values) The formula is approximately the same as f(x) = -2x 3 As x + then y - As x - then y + Graph roughly Curve Sketching Higher Outcome 3

66
www.mathsrevision.com Example 31 Sketch the graph of y = -3x 2 + 12x + 15 (a) AxesIf x = 0 then y = 15 If y = 0 then -3x 2 + 12x + 15 = 0( -3) x 2 - 4x - 5 = 0 (x + 1)(x - 5) = 0 x = -1 or x = 5 Graph cuts axes at (0,15), (-1,0) and (5,0) Curve Sketching Higher Outcome 3

67
www.mathsrevision.com (b) Stationary Points occur where dy / dx = 0 so -6x + 12 = 0 6x = 12 x = 2 If x = 2 then y = -12 + 24 + 15 = 27 Nature Table x2 dy / dx + 0 - So (2,27) is a Maximum Turning Point Stationary Point is (2,27) Curve Sketching Higher Outcome 3

68
www.mathsrevision.com (c) Large values using y = -3x 2 as x + then y - as x - then y - Sketching X Y y = -3x 2 + 12x + 15 Curve Sketching Cuts x-axis at -1 and 5 Summarising Cuts y-axis at 15 5 Max TP (2,27)(2,27) 15 Higher Outcome 3

69
www.mathsrevision.com Example 32 Sketch the graph of y = -2x 2 (x - 4) (a) Axes If x = 0 then y = 0 X (-4) = 0 If y = 0 then -2x 2 (x - 4) = 0 x = 0 or x = 4 Graph cuts axes at (0,0) and (4,0). -2x 2 = 0 or (x - 4) = 0 (b) SPs y = -2x 2 (x - 4) = -2x 3 + 8x 2 SPs occur where dy / dx = 0 so -6x 2 + 16x = 0 Curve Sketching Higher Outcome 3

70
www.mathsrevision.com -2x(3x - 8) = 0 -2x = 0 or (3x - 8) = 0 x = 0 or x = 8 / 3 If x = 0 then y = 0 (see part (a) ) If x = 8 / 3 then y = -2 X ( 8 / 3 ) 2 X ( 8 / 3 -4) = 512 / 27 nature x0 8/38/3 dy / dx - Curve Sketching Higher Outcome 3 - + 0 0

71
www.mathsrevision.com Summarising (c) Large values using y = -2x 3 as x + then y - as x - then y + Sketch X y = -2x 2 (x – 4) Curve Sketching Cuts x – axis at 0 and 4 0 4 Max TP’s at ( 8 / 3, 512 / 27 ) ( 8 / 3, 512 / 27 ) Y Higher Outcome 3

72
www.mathsrevision.com Example 33Sketch the graph of y = 8 + 2x 2 - x 4 (a) Axes If x = 0 then y = 8 (0,8) If y = 0 then 8 + 2x 2 - x 4 = 0 Graph cuts axes at (0,8), (-2,0) and (2,0) Let u = x 2 so u 2 = x 4 Equation is now 8 + 2u - u 2 = 0 (4 - u)(2 + u) = 0 (4 - x 2 )(2 + x 2 ) = 0 or (2 + x) (2 - x)(2 + x 2 ) = 0 So x = -2 or x = 2 but x 2 -2 Curve Sketching Higher Outcome 3

73
www.mathsrevision.com (b) SPs SPs occur where dy / dx = 0 So 4x - 4x 3 = 0 4x(1 - x 2 ) = 0 4x(1 - x)(1 + x) = 0 x = 0 or x =1 or x = -1 Using y = 8 + 2x 2 - x 4 when x = 0 then y = 8 when x = -1 then y = 8 + 2 - 1 = 9 (-1,9) when x = 1 then y = 8 + 2 - 1 = 9 (1,9) Curve Sketching Higher Outcome 3

74
www.mathsrevision.com nature x01 dy / dx + So (0,8) is a min TP while (-1,9) & (1,9) are max TPs. Curve Sketching Higher Outcome 3 +-- 000

75
www.mathsrevision.com Cuts y – axis at 8 Cuts x – axis at -2 and 2 (c) Large values Using y = - x 4 as x + then y - as x - then y - Sketch is X Y -22 8 (-1,9)(1,9) y = 8 + 2x 2 - x 4 Max TP’s at (-1,9) (1,9) Curve Sketching Summarising Higher Outcome 3

76
www.mathsrevision.com Max & Min on Closed Intervals In the previous section on curve sketching we dealt with the entire graph. In this section we shall concentrate on the important details to be found in a small section of graph. Suppose we consider any graph between the points where x = a and x = b (i.e. a x b) then the following graphs illustrate where we would expect to find the maximum & minimum values. Higher Outcome 3

77
www.mathsrevision.com y =f(x) X a b (a, f(a)) (b, f(b)) max = f(b) end point min = f(a) end point Max & Min on Closed Intervals Higher Outcome 3

78
www.mathsrevision.com x y =f(x) (b, f(b)) (a, f(a)) max = f(c ) max TP min = f(a) end point a b (c, f(c)) c NB: a < c < b Max & Min on Closed Intervals Higher Outcome 3

79
www.mathsrevision.com y =f(x) x a b c (a, f(a)) (b, f(b)) (c, f(c)) max = f(b) end point min = f(c) min TP NB: a < c < b Max & Min on Closed Intervals Higher Outcome 3

80
www.mathsrevision.com From the previous three diagrams we should be able to see that the maximum and minimum values of f(x) on the closed interval a x b can be found either at the end points or at a stationary point between the two end points Example 34 Find the max & min values of y = 2x 3 - 9x 2 in the interval where -1 x 2. End pointsIf x = -1 then y = -2 - 9 = -11 If x = 2 then y = 16 - 36 = -20 Max & Min on Closed Intervals Higher Outcome 3

81
www.mathsrevision.com Stationary points dy / dx = 6x 2 - 18x= 6x(x - 3) SPs occur where dy / dx = 0 6x(x - 3) = 0 6x = 0 or x - 3 = 0 x = 0 or x = 3 in interval not in interval If x = 0 then y = 0 - 0 = 0 Hence for -1 x 2, max = 0 & min = -20 Max & Min on Closed Intervals Higher Outcome 3

82
www.mathsrevision.com Extra bit Using function notation we can say that Domain = {x R: -1 x 2 } Range = {y R: -20 y 0 } Max & Min on Closed Intervals Higher Outcome 3

83
www.mathsrevision.com Optimization Note: Optimum basically means the best possible. In commerce or industry production costs and profits can often be given by a mathematical formula. Optimum profit is as high as possible so we would look for a max value or max TP. Optimum production cost is as low as possible so we would look for a min value or min TP. Higher Outcome 3

84
www.mathsrevision.com Optimization Higher Outcome 3 Problem Practical exercise on optimizing volume. Graph

85
www.mathsrevision.com Example 35 Higher Outcome 3 Optimization Q. What is the maximum volume We can have for the given dimensions A rectangular sheet of foil measuring 16cm X 10 cm has four small squares each x cm cut from each corner. 16cm 10cm x cm NB: x > 0 but 2x < 10 or x < 5 ie 0 < x < 5 This gives us a particular interval to consider ! x cm

86
www.mathsrevision.com (16 - 2x) cm (10 - 2x) cm x cm The volume is now determined by the value of x so we can write V(x) = x(16 - 2x)(10 - 2x) = x(160 - 52x + 4x 2 ) = 4x 3 - 52x 2 +160x We now try to maximize V(x) between 0 and 5 Optimization By folding up the four flaps we get a small cuboid Higher Outcome 3

87
www.mathsrevision.com Considering the interval 0 < x < 5End Points V(0) = 0 X 16 X 10 = 0 V(5) = 5 X 6 X 0 = 0 SPsV '(x) = 12x 2 - 104x + 160 = 4(3x 2 - 26x + 40) = 4(3x - 20)(x - 2) Optimization Higher Outcome 3

88
www.mathsrevision.com SPs occur when V '(x) = 0 ie 4(3x - 20)(x - 2) = 0 3x - 20 = 0 or x - 2 = 0 ie x = 20 / 3 or x = 2 not in interval in interval When x = 2 thenV(2) = 2 X 12 X 6 = 144 We now check gradient near x = 2 Optimization Higher Outcome 3

89
www.mathsrevision.com x2 V '(x) + Hence max TP when x = 2 So max possible volume = 144cm 3 Nature Optimization Higher Outcome 3 - 0

90
www.mathsrevision.com Example 36 When a company launches a new product its share of the market after x months is calculated by the formula So after 5 months the share is S(5) = 2 / 5 – 4 / 25 = 6 / 25 Find the maximum share of the market that the company can achieve. (x 2) Optimization Higher Outcome 3

91
www.mathsrevision.com End pointsS(2) = 1 – 1 = 0 There is no upper limit but as x S(x) 0. SPs occur where S (x) = 0 Optimization Higher Outcome 3

92
www.mathsrevision.com 8x 2 = 2x 3 8x 2 - 2x 3 = 0 2x 2 (4 – x) = 0 x = 0 or x = 4 Out with interval In interval We now check the gradients either side of 4 rearrange Optimization Higher Outcome 3

93
www.mathsrevision.com x 4 S (x) S (3.9 ) = 0.00337… S (4.1) = -0.0029… Hence max TP at x = 4 And max share of market = S(4) = 2 / 4 – 4 / 16 = 1 / 2 – 1 / 4 = 1 / 4 Optimization Nature Higher Outcome 3 + - 0

94
Differentiation of Polynomials f(x) = ax n then f’x) = anx n-1 Derivative = gradient = rate of change Graphs f’(x)=0 f’(x)=0 Stationary Pts Max. / Mini Pts Inflection Pt Nature Table 25 + 0 - x f’(x) Max Gradient at a point Equation of tangent line Straight Line Theory Leibniz Notation

95
www.mathsrevision.com Are you on Target ! Update you log book Make sure you complete and correct ALL of the Differentiation 1Differentiation 1 questions in the past paper booklet. Outcome 3

Similar presentations

Presentation is loading. Please wait....

OK

1

1

© 2018 SlidePlayer.com Inc.

All rights reserved.

To ensure the functioning of the site, we use **cookies**. We share information about your activities on the site with our partners and Google partners: social networks and companies engaged in advertising and web analytics. For more information, see the Privacy Policy and Google Privacy & Terms.
Your consent to our cookies if you continue to use this website.

Ads by Google

Latest ppt on companies act 2013 Ppt on water activity test Ppt on condition monitoring vibration Ppt on biogeochemical cycle carbon cycle Ppt on db2 architecture overview Ppt on seven segment display common Ppt on gas power plant in india Ppt on biodiversity and its conservation Ppt on different types of dance forms productions Ppt on network theory of meaningful learning