SlideShare a Scribd company logo
Derivatives And It’s Simple Applications
Introduction to derivative
▶ In mathematics, differential calculus is a subfield of calculus concerned with the study
of the rates at which quantities change.
▶ The primary objects of study in differential calculus are the derivative of a function,
related notions such as the differential, and their applications.
▶ The derivative of a function at a chosen input value describes the rate of change of the
function near that input value. The process of finding a derivative is
called differentiation
Geometrically, the
derivative at a point is
the slope of
the tangent line to
the graph of the
function at that point,
provided that the
derivative exists and is
defined at that point.
Derivative of usual function
1) Differentiating Constant Functions
Remember that a constant function has the same value at every point. The graph of
such a function is a horizontal line:
Now at any point, the tangent line to the graph (remember this is the line which
best approximates the graph) is the same horizontal line. Since the derivative
measures the slope of the tangent line and a horizontal line has slope zero, we
expect the following:
Derivative of a constant :
2)IDENTITY FUNCTION
Let f(x)=x, the identity function of x then, F’(X)=(X)’=1
3)FUNCTION OF FORM X^N
Let f(x)=x^n,a function of x,and n a real constant then, F’(X)=(X^N)’=NX^N-1
4)EXPONENTIALFUNCTION
In mathematics, an exponential function is a function of the form
F(X)=A^X where a>0 then f’(x)=(a^x)’=a^x(log a)
Basic derivation rules
1)ConstantMultiple Rule
The derivative of a constant multiplied by a function is the constant multiplied by the
derivative of the original function:
2)Sum/Difference Rules
The derivative of the sum of two functions is the sum of the derivatives of the two
functions
3)Product Rule
The derivative of the product of two functions is NOT the product of the functions'
derivatives; rather, it is described by the equation below:
4)Quotient Rule
The derivative of the quotient of two functions is NOT the quotient of the
functions' derivatives; rather, it is described by the equation below:
Let us see some examples to understand how Basic
rules of derivatives are applied
Example 1) 4𝑥2 = 4(𝑥2)=4(2𝑥 )=8𝑥
Example 2) (𝑒𝑥 + 𝑥5)′=(𝑒𝑥 )′ + (𝑥5)′ = 𝑒𝑥 + 5𝑥4
Example 3) (𝑥3 𝑒𝑥) = 𝑥3 ′𝑒𝑥 + 𝑥3(𝑒𝑥) = 3𝑥3𝑒𝑥 + 𝑥3𝑒𝑥
Example 4)
𝑥3
𝑒𝑥
= (𝑥3 )′ 𝑒𝑥 −𝑥3 (𝑒𝑥 )′
(𝑒𝑥) 2
= 3𝑥2𝑒𝑥−𝑥3𝑒𝑥
(𝑒𝑥) 2
=
2
𝑥 3−𝑥
(𝑒𝑥) 2
=
2
𝑥 3−𝑥
𝑒𝑥
THE CHAIN RULE
The chain rule is a formula for computing the derivative of
the composition of two or more function.
That is, if f and g are functions, then the chain rule expresses the
derivative of their composition f o g
The function which maps x to f(g(x)) in terms of the derivatives
of f and g and the product of function as follows:
(f o g)’=(f’ o g).g’
A function inverse can be thought of as the reversal of whatever our function does
to its input. Composition of two inverse function results in identity function. Inverse
of inverse of a function is that function itself
where (f o f−1)(x) = (f−1o f)(x)
Steps to solve inverse function is summarized below.
•On both sides of the equation replace x with f−1 (x).
•Substitute f(f−1(x)) = x
•Solve f−1 (x) in terms of x.
Let us see some examples to understand How
composite function are applied
Example 1: Find the derivative of Sin 10x
Solution:
Let y = sin u and u = 10x
dy
= cos u and
du
= 10
dX dX
Hence
dy
= dy
∗ du
dX du dX
= cos u * 10 = 10 cos 10x
Example 2:The two functions f and g are defined on the set of real numbers such
that: f(x)= 𝑥2+ 5 and g(x) = x√x. Find fog and gof and show that fog≠gof.
Solution :
(fog)(x) = f{g(x)} (fog)(x) = f(x√x) = √𝑥 2
+ 5 = x + 5
(gof)(x) = g(f(x) (gof)(x) = g(𝑥2+ 5) = x2 + 5
Therefore fog ≠ gof
In calculus, the second derivative, or the second order derivative, of a function f is
the derivative of the derivative of f.
Roughly speaking, the second derivative measures how the rate of change of a
quantity is itself changing
for example, the second derivative of the position of a vehicle with respect to time
is the instantaneous acceleration of the vehicle, or the rate at which the velocity of
the vehicle is changing with respect to time.
In Leibniz notation:
2
𝑎 = 𝑑𝑣
= 𝑑 ∗𝑥
𝑑𝑡 𝑑𝑡 2
where the last term is the second derivative expression.
Second derivative test
The relation between the second
derivative and the
Graph can be used to test whether a
stationary point for a
Function is a local maximum or a local
minimum.
Specifically
If f’’(x) <0 then f has a local
maximum at x.
If f’’(x)>0 then f has a local
minimum at x.
If f’’(x)=0 , the second derivative
test says nothing
about the point x , a possible
inflection point.
Second derivative test
The reason the second derivative produces these results can be seen by way of a
real-world analogy. Example,
Consider a vehicle that at first is moving forward at a great velocity, but with a
negative acceleration.
Clearly the position of the vehicle at the point where the velocity reaches zero will
be the maximum distance from the starting position – after this time, the velocity
will become negative and the vehicle will reverse.
The same is true for the minimum, with a vehicle that at first has a very negative
velocity but positive acceleration.
Let us see some examples to understand how
application of derivatives takes place
Inphysics
A particle is moving in such a way that its displacement ‘s’ at a time ‘t’ is
given by 𝒔 = 𝟐𝒕𝟐 + 𝟓𝒕 + 𝟐𝟎, find the velocity and acceleration after 2 sec.
Solution :
𝑑
𝑡
𝑠 = 2𝑡2 + 5𝑡 + 20 Therefore velocity = 𝑑𝑠
= 4𝑡 + 5
𝑑
𝑠
𝑑
𝑡
= 4(2) + 5 =13
𝑑
𝑡
Acceleration = a =𝑑𝑣
= 4
The velocity and acceleration are 13units per sec and 4 units per sec square.
A ladder of length 20 feet rests against a smooth vertical wall. The lower end,which is on a smooth horizontal surface is moved away from the
wall at rate of 4feet/sec. Find the rate at which the upper end moves when the lower end is 12 feet away from the wall.
Solution: Let AB be ladder ,Let OB=x & OA =Y A
dt
dX
= 4ft/sec
From the figure 𝑥2+𝑦2 = 202
2x𝑑𝑥
+2y𝑑𝑦
= 0
𝑑𝑡 𝑑𝑡
y
O B
𝑑𝑦
= −𝑥 𝑑𝑥
…………….(1)
𝑑𝑡 𝑦 𝑑𝑡
Now x=12ft.
(12)2+𝑦2 = 20 2 𝑦2 = 20 2- 12 2 = 256 y=16
From (1) we get 𝑑𝑦
= −12
4 = −3
𝑑𝑡 16
Therefore the upper end is moving downwards at the rate of 3ft/sec.

More Related Content

Similar to derivativesanditssimpleapplications-160828144729.pptx

Activity 1 (Directional Derivative and Gradient with minimum 3 applications)....
Activity 1 (Directional Derivative and Gradient with minimum 3 applications)....Activity 1 (Directional Derivative and Gradient with minimum 3 applications)....
Activity 1 (Directional Derivative and Gradient with minimum 3 applications)....
loniyakrishn
 
83662164 case-study-1
83662164 case-study-183662164 case-study-1
83662164 case-study-1
homeworkping3
 
Week 6
Week 6Week 6
Week 6
EasyStudy3
 
Derivatie class 12
Derivatie class 12Derivatie class 12
Derivatie class 12
Sadiq Hussain
 
1.Evaluate the integral shown below. (Hint Try the substituti.docx
1.Evaluate the integral shown below. (Hint Try the substituti.docx1.Evaluate the integral shown below. (Hint Try the substituti.docx
1.Evaluate the integral shown below. (Hint Try the substituti.docx
jackiewalcutt
 
Theoryofcomp science
Theoryofcomp scienceTheoryofcomp science
Theoryofcomp science
Raghu nath
 
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptxAIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
Zawarali786
 
Grupo#5 taller parcial 2
Grupo#5 taller parcial 2Grupo#5 taller parcial 2
Grupo#5 taller parcial 2
CARLOSANDRESCOLLAGUA
 
Grupo#5 taller parcial 2
Grupo#5 taller parcial 2Grupo#5 taller parcial 2
Grupo#5 taller parcial 2
FernandoSantamara4
 
Erin catto numericalmethods
Erin catto numericalmethodsErin catto numericalmethods
Erin catto numericalmethods
oscarbg
 
Dericavion e integracion de funciones
Dericavion e integracion de funcionesDericavion e integracion de funciones
Dericavion e integracion de funciones
diegoalejandroalgara
 
Taller grupal parcial ii nrc 3246 sebastian fueltala_kevin sánchez
Taller grupal parcial ii nrc 3246  sebastian fueltala_kevin sánchezTaller grupal parcial ii nrc 3246  sebastian fueltala_kevin sánchez
Taller grupal parcial ii nrc 3246 sebastian fueltala_kevin sánchez
kevinct2001
 
Applications of Derivatives
Applications of DerivativesApplications of Derivatives
Applications of Derivatives
AmshalEjaz1
 
Continuity and differentiability
Continuity and differentiability Continuity and differentiability
Continuity and differentiability
Seyid Kadher
 
Website designing company in delhi ncr
Website designing company in delhi ncrWebsite designing company in delhi ncr
Website designing company in delhi ncr
Css Founder
 
Website designing company in delhi ncr
Website designing company in delhi ncrWebsite designing company in delhi ncr
Website designing company in delhi ncr
Css Founder
 
1519 differentiation-integration-02
1519 differentiation-integration-021519 differentiation-integration-02
1519 differentiation-integration-02
Dr Fereidoun Dejahang
 

Similar to derivativesanditssimpleapplications-160828144729.pptx (20)

Activity 1 (Directional Derivative and Gradient with minimum 3 applications)....
Activity 1 (Directional Derivative and Gradient with minimum 3 applications)....Activity 1 (Directional Derivative and Gradient with minimum 3 applications)....
Activity 1 (Directional Derivative and Gradient with minimum 3 applications)....
 
Differentiation and applications
Differentiation and applicationsDifferentiation and applications
Differentiation and applications
 
83662164 case-study-1
83662164 case-study-183662164 case-study-1
83662164 case-study-1
 
Week 6
Week 6Week 6
Week 6
 
Derivatie class 12
Derivatie class 12Derivatie class 12
Derivatie class 12
 
1.Evaluate the integral shown below. (Hint Try the substituti.docx
1.Evaluate the integral shown below. (Hint Try the substituti.docx1.Evaluate the integral shown below. (Hint Try the substituti.docx
1.Evaluate the integral shown below. (Hint Try the substituti.docx
 
Theoryofcomp science
Theoryofcomp scienceTheoryofcomp science
Theoryofcomp science
 
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptxAIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
 
Lar calc10 ch02_sec2
Lar calc10 ch02_sec2Lar calc10 ch02_sec2
Lar calc10 ch02_sec2
 
Grupo#5 taller parcial 2
Grupo#5 taller parcial 2Grupo#5 taller parcial 2
Grupo#5 taller parcial 2
 
Grupo#5 taller parcial 2
Grupo#5 taller parcial 2Grupo#5 taller parcial 2
Grupo#5 taller parcial 2
 
Erin catto numericalmethods
Erin catto numericalmethodsErin catto numericalmethods
Erin catto numericalmethods
 
Dericavion e integracion de funciones
Dericavion e integracion de funcionesDericavion e integracion de funciones
Dericavion e integracion de funciones
 
Taller grupal parcial ii nrc 3246 sebastian fueltala_kevin sánchez
Taller grupal parcial ii nrc 3246  sebastian fueltala_kevin sánchezTaller grupal parcial ii nrc 3246  sebastian fueltala_kevin sánchez
Taller grupal parcial ii nrc 3246 sebastian fueltala_kevin sánchez
 
Applications of Derivatives
Applications of DerivativesApplications of Derivatives
Applications of Derivatives
 
Continuity and differentiability
Continuity and differentiability Continuity and differentiability
Continuity and differentiability
 
Thesis
ThesisThesis
Thesis
 
Website designing company in delhi ncr
Website designing company in delhi ncrWebsite designing company in delhi ncr
Website designing company in delhi ncr
 
Website designing company in delhi ncr
Website designing company in delhi ncrWebsite designing company in delhi ncr
Website designing company in delhi ncr
 
1519 differentiation-integration-02
1519 differentiation-integration-021519 differentiation-integration-02
1519 differentiation-integration-02
 

Recently uploaded

English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
BrazilAccount1
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
DfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributionsDfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributions
gestioneergodomus
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
Kerry Sado
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Forklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella PartsForklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella Parts
Intella Parts
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERS
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSCW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERS
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERS
veerababupersonal22
 
Unbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptxUnbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptx
ChristineTorrepenida1
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
ydteq
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
14 Template Contractual Notice - EOT Application
14 Template Contractual Notice - EOT Application14 Template Contractual Notice - EOT Application
14 Template Contractual Notice - EOT Application
SyedAbiiAzazi1
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
MdTanvirMahtab2
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
zwunae
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
SamSarthak3
 
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
thanhdowork
 
Basic Industrial Engineering terms for apparel
Basic Industrial Engineering terms for apparelBasic Industrial Engineering terms for apparel
Basic Industrial Engineering terms for apparel
top1002
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 

Recently uploaded (20)

English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
DfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributionsDfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributions
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Forklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella PartsForklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella Parts
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERS
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSCW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERS
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERS
 
Unbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptxUnbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptx
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
14 Template Contractual Notice - EOT Application
14 Template Contractual Notice - EOT Application14 Template Contractual Notice - EOT Application
14 Template Contractual Notice - EOT Application
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
 
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
 
Basic Industrial Engineering terms for apparel
Basic Industrial Engineering terms for apparelBasic Industrial Engineering terms for apparel
Basic Industrial Engineering terms for apparel
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 

derivativesanditssimpleapplications-160828144729.pptx

  • 1. Derivatives And It’s Simple Applications
  • 2.
  • 3.
  • 4. Introduction to derivative ▶ In mathematics, differential calculus is a subfield of calculus concerned with the study of the rates at which quantities change. ▶ The primary objects of study in differential calculus are the derivative of a function, related notions such as the differential, and their applications. ▶ The derivative of a function at a chosen input value describes the rate of change of the function near that input value. The process of finding a derivative is called differentiation
  • 5. Geometrically, the derivative at a point is the slope of the tangent line to the graph of the function at that point, provided that the derivative exists and is defined at that point.
  • 7. 1) Differentiating Constant Functions Remember that a constant function has the same value at every point. The graph of such a function is a horizontal line: Now at any point, the tangent line to the graph (remember this is the line which best approximates the graph) is the same horizontal line. Since the derivative measures the slope of the tangent line and a horizontal line has slope zero, we expect the following: Derivative of a constant :
  • 8. 2)IDENTITY FUNCTION Let f(x)=x, the identity function of x then, F’(X)=(X)’=1 3)FUNCTION OF FORM X^N Let f(x)=x^n,a function of x,and n a real constant then, F’(X)=(X^N)’=NX^N-1 4)EXPONENTIALFUNCTION In mathematics, an exponential function is a function of the form F(X)=A^X where a>0 then f’(x)=(a^x)’=a^x(log a)
  • 10. 1)ConstantMultiple Rule The derivative of a constant multiplied by a function is the constant multiplied by the derivative of the original function: 2)Sum/Difference Rules The derivative of the sum of two functions is the sum of the derivatives of the two functions
  • 11. 3)Product Rule The derivative of the product of two functions is NOT the product of the functions' derivatives; rather, it is described by the equation below: 4)Quotient Rule The derivative of the quotient of two functions is NOT the quotient of the functions' derivatives; rather, it is described by the equation below:
  • 12. Let us see some examples to understand how Basic rules of derivatives are applied
  • 13. Example 1) 4𝑥2 = 4(𝑥2)=4(2𝑥 )=8𝑥 Example 2) (𝑒𝑥 + 𝑥5)′=(𝑒𝑥 )′ + (𝑥5)′ = 𝑒𝑥 + 5𝑥4 Example 3) (𝑥3 𝑒𝑥) = 𝑥3 ′𝑒𝑥 + 𝑥3(𝑒𝑥) = 3𝑥3𝑒𝑥 + 𝑥3𝑒𝑥 Example 4) 𝑥3 𝑒𝑥 = (𝑥3 )′ 𝑒𝑥 −𝑥3 (𝑒𝑥 )′ (𝑒𝑥) 2 = 3𝑥2𝑒𝑥−𝑥3𝑒𝑥 (𝑒𝑥) 2 = 2 𝑥 3−𝑥 (𝑒𝑥) 2 = 2 𝑥 3−𝑥 𝑒𝑥
  • 14.
  • 15. THE CHAIN RULE The chain rule is a formula for computing the derivative of the composition of two or more function. That is, if f and g are functions, then the chain rule expresses the derivative of their composition f o g The function which maps x to f(g(x)) in terms of the derivatives of f and g and the product of function as follows: (f o g)’=(f’ o g).g’
  • 16. A function inverse can be thought of as the reversal of whatever our function does to its input. Composition of two inverse function results in identity function. Inverse of inverse of a function is that function itself where (f o f−1)(x) = (f−1o f)(x) Steps to solve inverse function is summarized below. •On both sides of the equation replace x with f−1 (x). •Substitute f(f−1(x)) = x •Solve f−1 (x) in terms of x.
  • 17. Let us see some examples to understand How composite function are applied
  • 18. Example 1: Find the derivative of Sin 10x Solution: Let y = sin u and u = 10x dy = cos u and du = 10 dX dX Hence dy = dy ∗ du dX du dX = cos u * 10 = 10 cos 10x
  • 19. Example 2:The two functions f and g are defined on the set of real numbers such that: f(x)= 𝑥2+ 5 and g(x) = x√x. Find fog and gof and show that fog≠gof. Solution : (fog)(x) = f{g(x)} (fog)(x) = f(x√x) = √𝑥 2 + 5 = x + 5 (gof)(x) = g(f(x) (gof)(x) = g(𝑥2+ 5) = x2 + 5 Therefore fog ≠ gof
  • 20.
  • 21. In calculus, the second derivative, or the second order derivative, of a function f is the derivative of the derivative of f. Roughly speaking, the second derivative measures how the rate of change of a quantity is itself changing for example, the second derivative of the position of a vehicle with respect to time is the instantaneous acceleration of the vehicle, or the rate at which the velocity of the vehicle is changing with respect to time. In Leibniz notation: 2 𝑎 = 𝑑𝑣 = 𝑑 ∗𝑥 𝑑𝑡 𝑑𝑡 2 where the last term is the second derivative expression.
  • 22. Second derivative test The relation between the second derivative and the Graph can be used to test whether a stationary point for a Function is a local maximum or a local minimum. Specifically If f’’(x) <0 then f has a local maximum at x. If f’’(x)>0 then f has a local minimum at x. If f’’(x)=0 , the second derivative test says nothing about the point x , a possible inflection point.
  • 23. Second derivative test The reason the second derivative produces these results can be seen by way of a real-world analogy. Example, Consider a vehicle that at first is moving forward at a great velocity, but with a negative acceleration. Clearly the position of the vehicle at the point where the velocity reaches zero will be the maximum distance from the starting position – after this time, the velocity will become negative and the vehicle will reverse. The same is true for the minimum, with a vehicle that at first has a very negative velocity but positive acceleration.
  • 24. Let us see some examples to understand how application of derivatives takes place
  • 25. Inphysics A particle is moving in such a way that its displacement ‘s’ at a time ‘t’ is given by 𝒔 = 𝟐𝒕𝟐 + 𝟓𝒕 + 𝟐𝟎, find the velocity and acceleration after 2 sec. Solution : 𝑑 𝑡 𝑠 = 2𝑡2 + 5𝑡 + 20 Therefore velocity = 𝑑𝑠 = 4𝑡 + 5 𝑑 𝑠 𝑑 𝑡 = 4(2) + 5 =13 𝑑 𝑡 Acceleration = a =𝑑𝑣 = 4 The velocity and acceleration are 13units per sec and 4 units per sec square.
  • 26. A ladder of length 20 feet rests against a smooth vertical wall. The lower end,which is on a smooth horizontal surface is moved away from the wall at rate of 4feet/sec. Find the rate at which the upper end moves when the lower end is 12 feet away from the wall. Solution: Let AB be ladder ,Let OB=x & OA =Y A dt dX = 4ft/sec From the figure 𝑥2+𝑦2 = 202 2x𝑑𝑥 +2y𝑑𝑦 = 0 𝑑𝑡 𝑑𝑡 y O B 𝑑𝑦 = −𝑥 𝑑𝑥 …………….(1) 𝑑𝑡 𝑦 𝑑𝑡 Now x=12ft. (12)2+𝑦2 = 20 2 𝑦2 = 20 2- 12 2 = 256 y=16 From (1) we get 𝑑𝑦 = −12 4 = −3 𝑑𝑡 16 Therefore the upper end is moving downwards at the rate of 3ft/sec.