SlideShare ist ein Scribd-Unternehmen logo
1 von 25
Differentiation Chap 9

Objective: How to find
Stationary Points
&
determine their nature
(maximum/minimum)
riazidan
The stationary points of a curve are the points where
the gradient is zero
e.g.

y = x3 − 3x2 − 9x

A local maximum
x

dy
=0
dx
x

A local minimum
The word local is usually omitted and the points called
maximum and minimum points.
e.g.1 Find the coordinates of the stationary points
on the curve y = x 3 − 3 x 2 − 9 x
y = x3 − 3x2 − 9x
Solution:

dy
⇒
= 3x2 − 6x − 9
dx
dy
⇒ 3 x 2 − 6 x − 9 = 0 ⇒ 3( x 2 − 2 x − 3) = 0
=0
dx
3( x − out + 1 = 0 ⇒ x = 3
Tip: Watch 3)( xfor )common factors or x = −1
x = 3 when finding )stationary points.
⇒ y = ( 3 3 − 3( 3) 2 − 9( 3)
= 27 − 27 − 27 = − 27
x = −1 ⇒ y = ( −1) 3 − 3( −1) 2 − 9( −1)
= −1 − 3 + 9 = 5
The stationary points are (3, -27) and ( -1, 5)
Exercises
Find the coordinates of the stationary points of the
following functions
2
1. y = x − 4 x + 5

2.

y = 2 x 3 + 3 x 2 − 12 x + 1

Solutions:
dy
1.
= 2x − 4

dx
dy
= 0 ⇒ 2x − 4 = 0
dx
⇒ x=2

x = 2 ⇒ y = ( 2) 2 − 4( 2) + 5 = 1
Ans: St. pt. is ( 2, 1)
y = 2 x 3 + 3 x 2 − 12 x + 1

2.
Solution:

dy
= 6 x 2 + 6 x − 12
dx

dy
= 0 ⇒ 6( x 2 + x − 2) = 0 ⇒ 6( x − 1)( x + 2) = 0
dx
⇒ x = 1 or x = −2
x = 1 ⇒ y = −6
x = −2 ⇒ y = 2( −2) 3 + 3( −2) 2 − 12( −2) + 1 = 21
Ans: St. pts. are ( 1, −6) and ( −2, 21 )
We need to be able to determine the nature of a
stationary point ( whether it is a max or a min ).
There are several ways of doing this. e.g.
On the left of
a maximum,
the gradient is
positive

+

On the right of
a maximum,
the gradient is
negative

−
So, for a max the gradients are
0 At the max
On the left of
On the right of
the max
the max

−

+

The opposite is true for a minimum

−

0

+

Calculating the gradients on the left and right of a
stationary point tells us whether the point is a max or a
min.
e.g.2 Find the coordinates of the stationary point of the
2
curve y = x − 4 x + 1 . Is the point a max or min?

− − − − − − (1)
y = x2 − 4x + 1
Solution:
dy
⇒
= 2x − 4
dx
dy
=0
⇒
2x − 4 = 0 ⇒ x = 2
dx
y = ( 2) 2 − 4( 2) + 1
⇒ y = −3
Substitute in (1):
dy
= 2(1) − 4 = − 2 < 0
On the left of x = 2 e.g. at x = 1,
dx
dy
On the right of x = 2 e.g. at x = 3,
= 2( 3) − 4 = 2 > 0
dx
+
−
⇒ ( 2, − 3) is a min
We have
0
Another method for determining the nature of a
stationary point.
e.g.3 Consider

y = x 3 + 3 x 2 − 9 x + 10

The gradient function
is given by

dy
= 3x2 + 6x − 9
dx

dy
dx

3
2
At the max of y = x + 3 x − 9 x + 10 the gradient is 0
but the gradient of the gradient is negative.
Another method for determining the nature of a
stationary point.
e.g.3 Consider

y = x 3 + 3 x 2 − 9 x + 10

The gradient function
is given by

dy
= 3x2 + 6x − 9
dx

dy
dx

At the min of

y = x 3 + 3 x 2 − 9 x + 10
the gradient of the
gradient is positive.

d2y

The notation for the gradient of the gradient is
dx 2
“d 2 y by d x squared”
e.g.3 ( continued ) Find the stationary points on the
curve y = x 3 + 3 x 2 − 9 x + 10 and distinguish between
the max and the min.
y = x 3 + 3 x 2 − 9 x + 10
Solution:

dy
d2y
2
⇒
= 3x + 6x − 9 ⇒
= 6x + 6
2
dx
dx
2
dy
2 d y
Stationary points:
= 0 ⇒ 3 x + 6 x −is called the
9=0
dx
dx 2 nd
2 derivative
⇒ 3( x 2 + 2 x − 3) = 0
⇒ 3( x + 3)( x − 1) = 0
⇒

x = −3 or x = 1

We now need to find the y-coordinates of the st. pts.
y = x 3 + 3 x 2 − 9 x + 10
x = −3 ⇒

y = ( −3) 3 + 3( −3) 2 − 9( −3) + 10 = 37

x =1

y = 1 + 3 − 9 + 10 = 5

⇒

To distinguish between max and min we use the 2nd
derivative, at the stationary points.

d2y
2

= 6x + 6

dx
d y
= 6( −3) + 6 = −12 < 0 ⇒ max at (−3, 37 )
At x = −3 ,
2
dx
2

At x = 1 ,

d2y
dx

2

= 6 + 6 = 12 > 0 ⇒ min at (1, 5)
SUMMARY
 To find stationary points, solve the equation
dy
=0
dx
 Determine the nature of the stationary points

•

either by finding the gradients on the left
and right of the stationary points

+

−
•

⇒ minimum

0

0

+

−

⇒

maximum

or by finding the value of the 2nd derivative
at the stationary points

d2y
dx

2

< 0 ⇒ max

d2y
dx

2

> 0 ⇒ min
Exercises
Find the coordinates of the stationary points of the
following functions, determine the nature of each
and sketch the functions.
3
2
3

2

y = x + 3x − 2
Ans. (0, − 2) is a min.

1.

(−2 , 2)
2.

y = x + 3x − 2

is a max.

y = 2 + 3x − x3

Ans. (−1, 0)

(1 , 4)

is a min.
is a max.

y = 2 + 3x − x3
The following slides contain repeats of
information on earlier slides, shown without
colour, so that they can be printed and
photocopied.
For most purposes the slides can be printed
as “Handouts” with up to 6 slides per sheet.
The stationary points of a curve are the points where
the gradient is zero
e.g.

y = x3 − 3x2 − 9x

A local maximum
x

dy
=0
dx
x

A local minimum
The word local is usually omitted and the points called
maximum and minimum points.
e.g.1 Find the coordinates of the stationary points
y = x3 − 3x2 − 9x
on the curve
Solution:

⇒
dy
=0
dx

⇒

y = x3 − 3x2 − 9x
dy
= 3x2 − 6x − 9
dx
3x2 − 6x − 9 = 0 ⇒

3( x 2 − 2 x − 3) = 0

3( x − 3)( x + 1) = 0 ⇒ x = 3 or x = −1
x = 3 ⇒ y = ( 3) 3 − 3( 3) 2 − 9( 3)
= 27 − 27 − 27 = − 27
x = −1 ⇒ y = ( −1) 3 − 3( −1) 2 − 9( −1)
= −1 − 3 + 9 = 5
The stationary points are (3, -27) and ( -1, 5)
Determining the nature of a Stationary Point
For a max we have
On the left of
the max

+

0

At the max

−

On the right of
the max

The opposite is true for a minimum

−

0

+

Calculating the gradients on the left and right
of a stationary point tells us whether the point
is a max or a min.
Another method for determining the nature of a
stationary point.
e.g. Consider

y

y = x 3 + 3 x 2 − 9 x + 10

The gradient function
is given by

dy
= 3x2 + 6x − 9
dx

dy
dx

3
2
At the max of y = x + 3 x − 9 x + 10 the gradient is
0, but the gradient of the gradient is negative.
y = x 3 + 3 x 2 − 9 x + 10
The gradient function
is given by

dy
= 3x2 + 6x − 9
dx

dy
dx

At the min of
y = x 3 + 3 x 2 − 9 x + 10
the gradient of the
gradient is positive.

d2y

The notation for the gradient of the gradient is
dx 2
“d 2 y by d x squared”
The gradient of the gradient is called the 2nd
derivative and is written as

d2y
dx 2
e.g. Find the stationary points on the curve
3
y = xand 3distinguish between the max
+ x 2 − 9 x + 10

and the=min.+ 3 x 2 − 9 x + 10
y x3
Solution:

dy
d2y
2
⇒
= 3x + 6x − 9 ⇒
= 6x + 6
2
dx
dx
dy
Stationary points:
= 0 ⇒ 3x2 + 6x − 9 = 0
dx
⇒ 3( x 2 + 2 x − 3) = 0
⇒ 3( x + 3)( x − 1) = 0
⇒

x = −3 or x = 1

We now need to find the y-coordinates of the st. pts.
y = x 3 + 3 x 2 − 9 x + 10
x = −3 ⇒

y = ( −3) 3 + 3( −3) 2 − 9( −3) + 10 = 37

x =1

y = 1 + 3 − 9 + 10 = 5

⇒

To distinguish between max and min we use the 2nd
derivative,
d2y
2

= 6x + 6

dx
d2y
At x = −3 , 2 = 6( −3) + 6 = −12 < 0 ⇒ max at (−3, 37 )
dx
At

x =1 ,

d2y
dx

2

= 6 + 6 = 12 > 0 ⇒ min at (1, 5)
SUMMARY
 To find stationary points, solve the equation
dy
=0
dx
 Determine the nature of the stationary points

•

either by finding the gradients on the left
and right of the stationary points
0
−
+
−
⇒ maximum
⇒ minimum +
0
• or by finding the value of the 2nd derivative
at the stationary points

d2y
dx

2

< 0 ⇒ max

d2y
dx

2

> 0 ⇒ min

Weitere ähnliche Inhalte

Was ist angesagt?

Differentiation using First Principle - By Mohd Noor Abdul Hamid
Differentiation using First Principle  - By Mohd Noor Abdul HamidDifferentiation using First Principle  - By Mohd Noor Abdul Hamid
Differentiation using First Principle - By Mohd Noor Abdul HamidMohd. Noor Abdul Hamid
 
Lesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsLesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsMatthew Leingang
 
Lesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsLesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsMatthew Leingang
 
Continutiy of Functions.ppt
Continutiy of Functions.pptContinutiy of Functions.ppt
Continutiy of Functions.pptLadallaRajKumar
 
Composition and inverse of functions
Composition  and inverse of functionsComposition  and inverse of functions
Composition and inverse of functionsCharliez Jane Soriano
 
Differential calculus maxima minima
Differential calculus  maxima minimaDifferential calculus  maxima minima
Differential calculus maxima minimaSanthanam Krishnan
 
integration by parts
 integration by parts integration by parts
integration by partsaibad ahmed
 
Basic Calculus 11 - Derivatives and Differentiation Rules
Basic Calculus 11 - Derivatives and Differentiation RulesBasic Calculus 11 - Derivatives and Differentiation Rules
Basic Calculus 11 - Derivatives and Differentiation RulesJuan Miguel Palero
 
Lecture 4 the limit of a function
Lecture 4   the limit of a functionLecture 4   the limit of a function
Lecture 4 the limit of a functionnjit-ronbrown
 
Eigenvalue eigenvector slides
Eigenvalue eigenvector slidesEigenvalue eigenvector slides
Eigenvalue eigenvector slidesAmanSaeed11
 
4.1 implicit differentiation
4.1 implicit differentiation4.1 implicit differentiation
4.1 implicit differentiationdicosmo178
 
Benginning Calculus Lecture notes 2 - limits and continuity
Benginning Calculus Lecture notes 2 - limits and continuityBenginning Calculus Lecture notes 2 - limits and continuity
Benginning Calculus Lecture notes 2 - limits and continuitybasyirstar
 
functions limits and continuity
functions limits and continuityfunctions limits and continuity
functions limits and continuityPume Ananda
 

Was ist angesagt? (20)

Differentiation using First Principle - By Mohd Noor Abdul Hamid
Differentiation using First Principle  - By Mohd Noor Abdul HamidDifferentiation using First Principle  - By Mohd Noor Abdul Hamid
Differentiation using First Principle - By Mohd Noor Abdul Hamid
 
Functions limits and continuity
Functions limits and continuityFunctions limits and continuity
Functions limits and continuity
 
Metric space
Metric spaceMetric space
Metric space
 
Exponential functions
Exponential functionsExponential functions
Exponential functions
 
Lesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsLesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential Functions
 
Limits
LimitsLimits
Limits
 
Lesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsLesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric Functions
 
Chapter 11 - Differentiation
Chapter 11 - DifferentiationChapter 11 - Differentiation
Chapter 11 - Differentiation
 
Continutiy of Functions.ppt
Continutiy of Functions.pptContinutiy of Functions.ppt
Continutiy of Functions.ppt
 
Composition and inverse of functions
Composition  and inverse of functionsComposition  and inverse of functions
Composition and inverse of functions
 
Differential calculus maxima minima
Differential calculus  maxima minimaDifferential calculus  maxima minima
Differential calculus maxima minima
 
Chain Rule
Chain RuleChain Rule
Chain Rule
 
integration by parts
 integration by parts integration by parts
integration by parts
 
Limit of functions
Limit of functionsLimit of functions
Limit of functions
 
Basic Calculus 11 - Derivatives and Differentiation Rules
Basic Calculus 11 - Derivatives and Differentiation RulesBasic Calculus 11 - Derivatives and Differentiation Rules
Basic Calculus 11 - Derivatives and Differentiation Rules
 
Lecture 4 the limit of a function
Lecture 4   the limit of a functionLecture 4   the limit of a function
Lecture 4 the limit of a function
 
Eigenvalue eigenvector slides
Eigenvalue eigenvector slidesEigenvalue eigenvector slides
Eigenvalue eigenvector slides
 
4.1 implicit differentiation
4.1 implicit differentiation4.1 implicit differentiation
4.1 implicit differentiation
 
Benginning Calculus Lecture notes 2 - limits and continuity
Benginning Calculus Lecture notes 2 - limits and continuityBenginning Calculus Lecture notes 2 - limits and continuity
Benginning Calculus Lecture notes 2 - limits and continuity
 
functions limits and continuity
functions limits and continuityfunctions limits and continuity
functions limits and continuity
 

Andere mochten auch

IB Maths. Turning points. First derivative test
IB Maths. Turning points. First derivative testIB Maths. Turning points. First derivative test
IB Maths. Turning points. First derivative testestelav
 
Stationary Points Handout
Stationary Points HandoutStationary Points Handout
Stationary Points Handoutcoburgmaths
 
IB Maths.Turning points. Second derivative test
IB Maths.Turning points. Second derivative testIB Maths.Turning points. Second derivative test
IB Maths.Turning points. Second derivative testestelav
 
Schoenburg- AREA OF STUDY 2
Schoenburg- AREA OF STUDY 2Schoenburg- AREA OF STUDY 2
Schoenburg- AREA OF STUDY 2anicholls1234
 
Dynamics (full chapter)
Dynamics (full chapter)Dynamics (full chapter)
Dynamics (full chapter)Mohammed Ahmed
 
Kinematics displacement velocity graphs
Kinematics   displacement velocity graphsKinematics   displacement velocity graphs
Kinematics displacement velocity graphsMohammed Ahmed
 
Increasing decreasing functions
Increasing decreasing functionsIncreasing decreasing functions
Increasing decreasing functionsShaun Wilson
 
Numerical analysis stationary variables
Numerical analysis  stationary variablesNumerical analysis  stationary variables
Numerical analysis stationary variablesSHAMJITH KM
 

Andere mochten auch (20)

Stationary points
Stationary pointsStationary points
Stationary points
 
IB Maths. Turning points. First derivative test
IB Maths. Turning points. First derivative testIB Maths. Turning points. First derivative test
IB Maths. Turning points. First derivative test
 
Stationary Points Handout
Stationary Points HandoutStationary Points Handout
Stationary Points Handout
 
IB Maths.Turning points. Second derivative test
IB Maths.Turning points. Second derivative testIB Maths.Turning points. Second derivative test
IB Maths.Turning points. Second derivative test
 
C4 2012 june
C4 2012 juneC4 2012 june
C4 2012 june
 
C4 January 2012 QP
C4 January 2012 QPC4 January 2012 QP
C4 January 2012 QP
 
Simltaneous equations
Simltaneous equationsSimltaneous equations
Simltaneous equations
 
Schoenburg- AREA OF STUDY 2
Schoenburg- AREA OF STUDY 2Schoenburg- AREA OF STUDY 2
Schoenburg- AREA OF STUDY 2
 
C3 bronze 1
C3 bronze 1C3 bronze 1
C3 bronze 1
 
Kinematics
KinematicsKinematics
Kinematics
 
M1 January 2012 QP
M1 January 2012 QPM1 January 2012 QP
M1 January 2012 QP
 
C3 January 2012 QP
C3 January 2012 QPC3 January 2012 QP
C3 January 2012 QP
 
C3 2012 june
C3 2012 juneC3 2012 june
C3 2012 june
 
Dynamics (full chapter)
Dynamics (full chapter)Dynamics (full chapter)
Dynamics (full chapter)
 
Kinematics jan 27
Kinematics jan 27Kinematics jan 27
Kinematics jan 27
 
Kinematics displacement velocity graphs
Kinematics   displacement velocity graphsKinematics   displacement velocity graphs
Kinematics displacement velocity graphs
 
C4 EDEXCEL HELP
C4 EDEXCEL HELPC4 EDEXCEL HELP
C4 EDEXCEL HELP
 
dynamics text (M1)
dynamics text (M1)dynamics text (M1)
dynamics text (M1)
 
Increasing decreasing functions
Increasing decreasing functionsIncreasing decreasing functions
Increasing decreasing functions
 
Numerical analysis stationary variables
Numerical analysis  stationary variablesNumerical analysis  stationary variables
Numerical analysis stationary variables
 

Ähnlich wie Differentiation jan 21, 2014

C2 st lecture 4 handout
C2 st lecture 4 handoutC2 st lecture 4 handout
C2 st lecture 4 handoutfatima d
 
4.2 derivatives of logarithmic functions
4.2 derivatives of logarithmic functions4.2 derivatives of logarithmic functions
4.2 derivatives of logarithmic functionsdicosmo178
 
Algebra Revision.ppt
Algebra Revision.pptAlgebra Revision.ppt
Algebra Revision.pptAaronChi5
 
Sudėtingesnės trupmeninės lygtys
Sudėtingesnės trupmeninės lygtysSudėtingesnės trupmeninės lygtys
Sudėtingesnės trupmeninės lygtysLina Ša
 
Dividing polynomials
Dividing polynomialsDividing polynomials
Dividing polynomialsEducación
 
Straight-Line-Graphs-Final -2.pptx
Straight-Line-Graphs-Final -2.pptxStraight-Line-Graphs-Final -2.pptx
Straight-Line-Graphs-Final -2.pptxKviskvis
 
Engr 213 midterm 2b sol 2010
Engr 213 midterm 2b sol 2010Engr 213 midterm 2b sol 2010
Engr 213 midterm 2b sol 2010akabaka12
 
Antiderivatives nako sa calculus official
Antiderivatives nako sa calculus officialAntiderivatives nako sa calculus official
Antiderivatives nako sa calculus officialZerick Lucernas
 
maths Individual assignment on differentiation
maths Individual assignment on differentiationmaths Individual assignment on differentiation
maths Individual assignment on differentiationtenwoalex
 
Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Kuan-Lun Wang
 
Business Math Chapter 3
Business Math Chapter 3Business Math Chapter 3
Business Math Chapter 3Nazrin Nazdri
 

Ähnlich wie Differentiation jan 21, 2014 (20)

C2 st lecture 4 handout
C2 st lecture 4 handoutC2 st lecture 4 handout
C2 st lecture 4 handout
 
4.2 derivatives of logarithmic functions
4.2 derivatives of logarithmic functions4.2 derivatives of logarithmic functions
4.2 derivatives of logarithmic functions
 
Algebra Revision.ppt
Algebra Revision.pptAlgebra Revision.ppt
Algebra Revision.ppt
 
Sudėtingesnės trupmeninės lygtys
Sudėtingesnės trupmeninės lygtysSudėtingesnės trupmeninės lygtys
Sudėtingesnės trupmeninės lygtys
 
Gr 11 equations
Gr 11   equationsGr 11   equations
Gr 11 equations
 
Maths 301 key_sem_1_2009_2010
Maths 301 key_sem_1_2009_2010Maths 301 key_sem_1_2009_2010
Maths 301 key_sem_1_2009_2010
 
Quadraticequation
QuadraticequationQuadraticequation
Quadraticequation
 
Derivatives
DerivativesDerivatives
Derivatives
 
Dividing polynomials
Dividing polynomialsDividing polynomials
Dividing polynomials
 
Straight-Line-Graphs-Final -2.pptx
Straight-Line-Graphs-Final -2.pptxStraight-Line-Graphs-Final -2.pptx
Straight-Line-Graphs-Final -2.pptx
 
Core 1 revision notes a
Core 1 revision notes aCore 1 revision notes a
Core 1 revision notes a
 
整卷
整卷整卷
整卷
 
Integration
IntegrationIntegration
Integration
 
Engr 213 midterm 2b sol 2010
Engr 213 midterm 2b sol 2010Engr 213 midterm 2b sol 2010
Engr 213 midterm 2b sol 2010
 
Antiderivatives nako sa calculus official
Antiderivatives nako sa calculus officialAntiderivatives nako sa calculus official
Antiderivatives nako sa calculus official
 
Calculus Final Exam
Calculus Final ExamCalculus Final Exam
Calculus Final Exam
 
maths Individual assignment on differentiation
maths Individual assignment on differentiationmaths Individual assignment on differentiation
maths Individual assignment on differentiation
 
Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Calculus First Test 2011/10/20
Calculus First Test 2011/10/20
 
Business Math Chapter 3
Business Math Chapter 3Business Math Chapter 3
Business Math Chapter 3
 
Differentiation.pptx
Differentiation.pptxDifferentiation.pptx
Differentiation.pptx
 

Mehr von Mohammed Ahmed

Mehr von Mohammed Ahmed (7)

vectors
vectorsvectors
vectors
 
vectors
vectorsvectors
vectors
 
Moments
MomentsMoments
Moments
 
statics
staticsstatics
statics
 
Chap 3 3a to 3d
Chap 3 3a to 3dChap 3 3a to 3d
Chap 3 3a to 3d
 
C2 differentiation jan 22
C2 differentiation jan 22C2 differentiation jan 22
C2 differentiation jan 22
 
Trigonometric Functions and their Graphs
Trigonometric Functions and their GraphsTrigonometric Functions and their Graphs
Trigonometric Functions and their Graphs
 

Kürzlich hochgeladen

Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxlancelewisportillo
 
Dust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEDust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEaurabinda banchhor
 
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfErwinPantujan2
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfJemuel Francisco
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxVanesaIglesias10
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 
Presentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxPresentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxRosabel UA
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptxmary850239
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptshraddhaparab530
 
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...JojoEDelaCruz
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management systemChristalin Nelson
 

Kürzlich hochgeladen (20)

Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
 
Dust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSEDust Of Snow By Robert Frost Class-X English CBSE
Dust Of Snow By Robert Frost Class-X English CBSE
 
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptx
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 
Presentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxPresentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptx
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptxINCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.ppt
 
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management system
 

Differentiation jan 21, 2014

  • 1. Differentiation Chap 9 Objective: How to find Stationary Points & determine their nature (maximum/minimum) riazidan
  • 2. The stationary points of a curve are the points where the gradient is zero e.g. y = x3 − 3x2 − 9x A local maximum x dy =0 dx x A local minimum The word local is usually omitted and the points called maximum and minimum points.
  • 3. e.g.1 Find the coordinates of the stationary points on the curve y = x 3 − 3 x 2 − 9 x y = x3 − 3x2 − 9x Solution: dy ⇒ = 3x2 − 6x − 9 dx dy ⇒ 3 x 2 − 6 x − 9 = 0 ⇒ 3( x 2 − 2 x − 3) = 0 =0 dx 3( x − out + 1 = 0 ⇒ x = 3 Tip: Watch 3)( xfor )common factors or x = −1 x = 3 when finding )stationary points. ⇒ y = ( 3 3 − 3( 3) 2 − 9( 3) = 27 − 27 − 27 = − 27 x = −1 ⇒ y = ( −1) 3 − 3( −1) 2 − 9( −1) = −1 − 3 + 9 = 5 The stationary points are (3, -27) and ( -1, 5)
  • 4. Exercises Find the coordinates of the stationary points of the following functions 2 1. y = x − 4 x + 5 2. y = 2 x 3 + 3 x 2 − 12 x + 1 Solutions: dy 1. = 2x − 4 dx dy = 0 ⇒ 2x − 4 = 0 dx ⇒ x=2 x = 2 ⇒ y = ( 2) 2 − 4( 2) + 5 = 1 Ans: St. pt. is ( 2, 1)
  • 5. y = 2 x 3 + 3 x 2 − 12 x + 1 2. Solution: dy = 6 x 2 + 6 x − 12 dx dy = 0 ⇒ 6( x 2 + x − 2) = 0 ⇒ 6( x − 1)( x + 2) = 0 dx ⇒ x = 1 or x = −2 x = 1 ⇒ y = −6 x = −2 ⇒ y = 2( −2) 3 + 3( −2) 2 − 12( −2) + 1 = 21 Ans: St. pts. are ( 1, −6) and ( −2, 21 )
  • 6. We need to be able to determine the nature of a stationary point ( whether it is a max or a min ). There are several ways of doing this. e.g. On the left of a maximum, the gradient is positive + On the right of a maximum, the gradient is negative −
  • 7. So, for a max the gradients are 0 At the max On the left of On the right of the max the max − + The opposite is true for a minimum − 0 + Calculating the gradients on the left and right of a stationary point tells us whether the point is a max or a min.
  • 8. e.g.2 Find the coordinates of the stationary point of the 2 curve y = x − 4 x + 1 . Is the point a max or min? − − − − − − (1) y = x2 − 4x + 1 Solution: dy ⇒ = 2x − 4 dx dy =0 ⇒ 2x − 4 = 0 ⇒ x = 2 dx y = ( 2) 2 − 4( 2) + 1 ⇒ y = −3 Substitute in (1): dy = 2(1) − 4 = − 2 < 0 On the left of x = 2 e.g. at x = 1, dx dy On the right of x = 2 e.g. at x = 3, = 2( 3) − 4 = 2 > 0 dx + − ⇒ ( 2, − 3) is a min We have 0
  • 9. Another method for determining the nature of a stationary point. e.g.3 Consider y = x 3 + 3 x 2 − 9 x + 10 The gradient function is given by dy = 3x2 + 6x − 9 dx dy dx 3 2 At the max of y = x + 3 x − 9 x + 10 the gradient is 0 but the gradient of the gradient is negative.
  • 10. Another method for determining the nature of a stationary point. e.g.3 Consider y = x 3 + 3 x 2 − 9 x + 10 The gradient function is given by dy = 3x2 + 6x − 9 dx dy dx At the min of y = x 3 + 3 x 2 − 9 x + 10 the gradient of the gradient is positive. d2y The notation for the gradient of the gradient is dx 2 “d 2 y by d x squared”
  • 11. e.g.3 ( continued ) Find the stationary points on the curve y = x 3 + 3 x 2 − 9 x + 10 and distinguish between the max and the min. y = x 3 + 3 x 2 − 9 x + 10 Solution: dy d2y 2 ⇒ = 3x + 6x − 9 ⇒ = 6x + 6 2 dx dx 2 dy 2 d y Stationary points: = 0 ⇒ 3 x + 6 x −is called the 9=0 dx dx 2 nd 2 derivative ⇒ 3( x 2 + 2 x − 3) = 0 ⇒ 3( x + 3)( x − 1) = 0 ⇒ x = −3 or x = 1 We now need to find the y-coordinates of the st. pts.
  • 12. y = x 3 + 3 x 2 − 9 x + 10 x = −3 ⇒ y = ( −3) 3 + 3( −3) 2 − 9( −3) + 10 = 37 x =1 y = 1 + 3 − 9 + 10 = 5 ⇒ To distinguish between max and min we use the 2nd derivative, at the stationary points. d2y 2 = 6x + 6 dx d y = 6( −3) + 6 = −12 < 0 ⇒ max at (−3, 37 ) At x = −3 , 2 dx 2 At x = 1 , d2y dx 2 = 6 + 6 = 12 > 0 ⇒ min at (1, 5)
  • 13. SUMMARY  To find stationary points, solve the equation dy =0 dx  Determine the nature of the stationary points • either by finding the gradients on the left and right of the stationary points + − • ⇒ minimum 0 0 + − ⇒ maximum or by finding the value of the 2nd derivative at the stationary points d2y dx 2 < 0 ⇒ max d2y dx 2 > 0 ⇒ min
  • 14. Exercises Find the coordinates of the stationary points of the following functions, determine the nature of each and sketch the functions. 3 2 3 2 y = x + 3x − 2 Ans. (0, − 2) is a min. 1. (−2 , 2) 2. y = x + 3x − 2 is a max. y = 2 + 3x − x3 Ans. (−1, 0) (1 , 4) is a min. is a max. y = 2 + 3x − x3
  • 15.
  • 16. The following slides contain repeats of information on earlier slides, shown without colour, so that they can be printed and photocopied. For most purposes the slides can be printed as “Handouts” with up to 6 slides per sheet.
  • 17. The stationary points of a curve are the points where the gradient is zero e.g. y = x3 − 3x2 − 9x A local maximum x dy =0 dx x A local minimum The word local is usually omitted and the points called maximum and minimum points.
  • 18. e.g.1 Find the coordinates of the stationary points y = x3 − 3x2 − 9x on the curve Solution: ⇒ dy =0 dx ⇒ y = x3 − 3x2 − 9x dy = 3x2 − 6x − 9 dx 3x2 − 6x − 9 = 0 ⇒ 3( x 2 − 2 x − 3) = 0 3( x − 3)( x + 1) = 0 ⇒ x = 3 or x = −1 x = 3 ⇒ y = ( 3) 3 − 3( 3) 2 − 9( 3) = 27 − 27 − 27 = − 27 x = −1 ⇒ y = ( −1) 3 − 3( −1) 2 − 9( −1) = −1 − 3 + 9 = 5 The stationary points are (3, -27) and ( -1, 5)
  • 19. Determining the nature of a Stationary Point For a max we have On the left of the max + 0 At the max − On the right of the max The opposite is true for a minimum − 0 + Calculating the gradients on the left and right of a stationary point tells us whether the point is a max or a min.
  • 20. Another method for determining the nature of a stationary point. e.g. Consider y y = x 3 + 3 x 2 − 9 x + 10 The gradient function is given by dy = 3x2 + 6x − 9 dx dy dx 3 2 At the max of y = x + 3 x − 9 x + 10 the gradient is 0, but the gradient of the gradient is negative.
  • 21. y = x 3 + 3 x 2 − 9 x + 10 The gradient function is given by dy = 3x2 + 6x − 9 dx dy dx At the min of y = x 3 + 3 x 2 − 9 x + 10 the gradient of the gradient is positive. d2y The notation for the gradient of the gradient is dx 2 “d 2 y by d x squared”
  • 22. The gradient of the gradient is called the 2nd derivative and is written as d2y dx 2
  • 23. e.g. Find the stationary points on the curve 3 y = xand 3distinguish between the max + x 2 − 9 x + 10 and the=min.+ 3 x 2 − 9 x + 10 y x3 Solution: dy d2y 2 ⇒ = 3x + 6x − 9 ⇒ = 6x + 6 2 dx dx dy Stationary points: = 0 ⇒ 3x2 + 6x − 9 = 0 dx ⇒ 3( x 2 + 2 x − 3) = 0 ⇒ 3( x + 3)( x − 1) = 0 ⇒ x = −3 or x = 1 We now need to find the y-coordinates of the st. pts.
  • 24. y = x 3 + 3 x 2 − 9 x + 10 x = −3 ⇒ y = ( −3) 3 + 3( −3) 2 − 9( −3) + 10 = 37 x =1 y = 1 + 3 − 9 + 10 = 5 ⇒ To distinguish between max and min we use the 2nd derivative, d2y 2 = 6x + 6 dx d2y At x = −3 , 2 = 6( −3) + 6 = −12 < 0 ⇒ max at (−3, 37 ) dx At x =1 , d2y dx 2 = 6 + 6 = 12 > 0 ⇒ min at (1, 5)
  • 25. SUMMARY  To find stationary points, solve the equation dy =0 dx  Determine the nature of the stationary points • either by finding the gradients on the left and right of the stationary points 0 − + − ⇒ maximum ⇒ minimum + 0 • or by finding the value of the 2nd derivative at the stationary points d2y dx 2 < 0 ⇒ max d2y dx 2 > 0 ⇒ min