SlideShare a Scribd company logo
1 of 4
Download to read offline
Just like any other mathematical operation, the process of differentiation can be reversed. For example,
when we perform the differentiation of ๐‘“(๐‘ฅ) = ๐‘ฅ3
.
๐’‡(๐’™) = ๐’™๐Ÿ‘
๐’‡โ€ฒ(๐’™) = ๐Ÿ‘๐’™๐Ÿ‘โˆ’๐Ÿ
๐’‡โ€ฒ(๐’™) = ๐Ÿ‘๐’™๐Ÿ
Now if you begin with the function ๐’‡(๐’™) = ๐Ÿ‘๐’™๐Ÿ
, reversing the process should yield the possible functions
below:
๐’‡(๐’™) = ๐’™๐Ÿ‘
๐’‡(๐’™) = ๐’™๐Ÿ‘
+ ๐Ÿ
๐’‡(๐’™) = ๐’™๐Ÿ‘
โˆ’ ๐Ÿ
The reversing of the operation of differentiation is known as ANTIDIFFERENETIATION or INDEFINITE
INTEGRATION. If the derivative of ๐‘“(๐‘ฅ) = ๐‘ฅ3
is ๐‘“โ€ฒ(๐‘ฅ) = 3๐‘ฅ2
, then we say that an antiderivative of ๐‘“(๐‘ฅ) =
3๐‘ฅ2
is ๐‘“(๐‘ฅ) = ๐‘ฅ3
.
๐’‡(๐’™) = ๐’™๐Ÿ‘
๐’‡โ€ฒ(๐’™) = ๐Ÿ‘๐’™๐Ÿ
โˆซ ๐’‡โ€ฒ(๐’™) ๐’…๐’™ = ๐’‡(๐’™) + ๐‘ช
FINDING THE ANTIDERIVATIVE OF A FUNCTION
BASIC INTEGRATION FORMULAS
Differentiation Formulas Integration Formulas
๐’…
๐’…๐’™
(๐‘ช) = ๐ŸŽ โˆซ ๐ŸŽ ๐’…๐’™ = ๐‘ช
๐’…
๐’…๐’™
(๐’Œ๐’™) = ๐’Œ โˆซ ๐’Œ ๐’…๐’™ = ๐’Œ๐’™ + ๐‘ช
๐’…
๐’…๐’™
(๐’Œ๐‘ญ(๐’™)) = ๐’Œ๐‘ญโ€ฒ(๐’™) โˆซ ๐’Œ ๐’‡(๐’™) ๐’…๐’™ = ๐’Œ โˆซ ๐’‡( ๐’™) ๐’…๐’™
๐’…
๐’…๐’™
(๐‘ญ(๐’™) + ๐‘ฎ(๐’™)) = ๐‘ญโ€ฒ(๐’™) + ๐‘ฎโ€ฒ(๐’™) โˆซ[๐’‡(๐’™) + ๐’ˆ(๐’™)]๐’…๐’™ = โˆซ ๐’‡(๐’™) ๐’…๐’™ + โˆซ ๐’ˆ(๐’™) ๐’…๐’™
DERIVATIVE
INTEGRAL
๐’…
๐’…๐’™
(๐’™๐’) = ๐’๐’™๐’โˆ’๐Ÿ
โˆซ ๐’™๐’
๐’…๐’™ =
๐’™๐’+๐Ÿ
๐’ + ๐Ÿ
+ ๐‘ช; ๐’ โ‰  โˆ’๐Ÿ
EXAMPLE 1: Find the โˆซ 2
SOLUTION:
โˆซ ๐Ÿ = ๐Ÿ๐’™ + ๐’„
EXAMPLE 2: Find the โˆซ(๐‘ฅ โˆ’ 3)(๐‘ฅ + 4)
SOLUTION:
โˆซ(๐’™ โˆ’ ๐Ÿ‘)(๐’™ + ๐Ÿ’) = (๐’™ โˆ’ ๐Ÿ‘)(๐’™ + ๐Ÿ’)
= (๐’™๐Ÿ
+ ๐’™ โˆ’ ๐Ÿ๐Ÿ)
=
๐’™๐Ÿ+๐Ÿ
๐Ÿ+๐Ÿ
+
๐’™๐Ÿ+๐Ÿ
๐Ÿ+๐Ÿ
โˆ’ ๐Ÿ๐Ÿ๐’™ + ๐‘ช
=
๐’™๐Ÿ‘
๐Ÿ‘
+
๐’™๐Ÿ
๐Ÿ
โˆ’ ๐Ÿ๐Ÿ๐’™ + ๐‘ช
EXAMPLE 3: Find the โˆซ โˆš๐‘ฅ(2๐‘ฅ2
โˆ’ 3๐‘ฅ + 1)
SOLUTION:
โˆซ โˆš๐‘ฅ(2๐‘ฅ2
โˆ’ 3๐‘ฅ + 1) = (๐’™
๐Ÿ
๐Ÿ)(2๐‘ฅ2
โˆ’ 3๐‘ฅ + 1)
= ๐Ÿ๐’™
๐Ÿ
๐Ÿ
+๐Ÿ
โˆ’ ๐Ÿ‘๐’™
๐Ÿ
๐Ÿ
+๐Ÿ
+ ๐’™
๐Ÿ
๐Ÿ
= ๐Ÿ๐’™
๐Ÿ“
๐Ÿ โˆ’ ๐Ÿ‘๐’™
๐Ÿ‘
๐Ÿ + ๐’™
๐Ÿ
๐Ÿ
=
๐Ÿ๐’™
๐Ÿ“
๐Ÿ
+๐Ÿ
๐Ÿ“
๐Ÿ
+๐Ÿ
โˆ’
๐Ÿ‘๐’™
๐Ÿ‘
๐Ÿ
+๐Ÿ
๐Ÿ‘
๐Ÿ
+๐Ÿ
+
๐’™
๐Ÿ
๐Ÿ
+๐Ÿ
๐Ÿ
๐Ÿ
+๐Ÿ
+ ๐‘ช
=
๐Ÿ๐’™
๐Ÿ•
๐Ÿ
๐Ÿ•
๐Ÿ
โˆ’
๐Ÿ‘๐’™
๐Ÿ“
๐Ÿ
๐Ÿ“
๐Ÿ
+
๐’™
๐Ÿ‘
๐Ÿ
๐Ÿ‘
๐Ÿ
+ ๐‘ช
=
๐Ÿ’๐’™
๐Ÿ•
๐Ÿ
๐Ÿ•
โˆ’
๐Ÿ”๐’™
๐Ÿ“
๐Ÿ
๐Ÿ“
+
๐Ÿ๐’™
๐Ÿ‘
๐Ÿ
๐Ÿ‘
+ ๐‘ช
=
๐Ÿ’
๐Ÿ•
โˆš๐’™๐Ÿ• โˆ’
๐Ÿ”
๐Ÿ“
โˆš๐’™๐Ÿ“ +
๐Ÿ
๐Ÿ‘
โˆš๐’™๐Ÿ‘ + ๐‘ช
TRIGONOMETRIC FUNCTIONS INTEGRATION FORMULAS
Differentiation Formulas Integration Formulas
๐’…
๐’…๐’™
(๐’”๐’Š๐’ ๐’™) = ๐’„๐’๐’” ๐’™ โˆซ ๐’„๐’๐’” ๐’™ ๐’…๐’™ = ๐’”๐’Š๐’ ๐’™ + ๐‘ช
๐’…
๐’…๐’™
(๐’„๐’๐’” ๐’™) = โˆ’๐’”๐’Š๐’ ๐’™ โˆซ ๐’”๐’Š๐’ ๐’™ ๐’…๐’™ = โˆ’๐’„๐’๐’” ๐’™ + ๐‘ช
๐’…
๐’…๐’™
(๐’•๐’‚๐’ ๐’™) = ๐’”๐’†๐’„๐Ÿ
๐’™ โˆซ ๐’”๐’†๐’„๐Ÿ
๐’™ ๐’…๐’™ = ๐’•๐’‚๐’ ๐’™ + ๐‘ช
๐’…
๐’…๐’™
(๐’„๐’๐’• ๐’™) = โˆ’๐’„๐’”๐’„๐Ÿ
๐’™ โˆซ ๐’„๐’”๐’„๐Ÿ
๐’™ ๐’…๐’™ = โˆ’๐’„๐’๐’• ๐’™ + ๐‘ช
๐’…
๐’…๐’™
(๐’”๐’†๐’„ ๐’™) = ๐’”๐’†๐’„ ๐’™ ๐’•๐’‚๐’ ๐’™ โˆซ ๐’”๐’†๐’„ ๐’™ ๐’•๐’‚๐’ ๐’™ ๐’…๐’™ = ๐’”๐’†๐’„ ๐’™ + ๐‘ช
๐’…
๐’…๐’™
(๐’„๐’”๐’„ ๐’™) = โˆ’๐’„๐’”๐’„ ๐’™ ๐’„๐’๐’• ๐’™ โˆซ ๐’„๐’”๐’„ ๐’™ ๐’„๐’๐’• ๐’™ ๐’…๐’™ = โˆ’๐’„๐’”๐’„ ๐’™ + ๐‘ช
EXAMPLE 4: Find the โˆซ(4 cos ๐‘ฅ โˆ’ 3 sin๐‘ฅ) ๐‘‘๐‘ฅ
SOLUTION:
โˆซ(๐Ÿ’ ๐œ๐จ๐ฌ ๐’™ โˆ’ ๐Ÿ‘ ๐ฌ๐ข๐ง ๐’™) ๐’…๐’™ = ๐Ÿ’ โˆซ ๐œ๐จ๐ฌ ๐’™ ๐’…๐’™ โˆ’ ๐Ÿ‘ โˆซ ๐ฌ๐ข๐ง ๐’™ ๐’…๐’™
= ๐Ÿ’๐’”๐’Š๐’ ๐’™ โˆ’ ๐Ÿ‘(โˆ’๐’„๐’๐’” ๐’™) + ๐‘ช
= ๐Ÿ’๐’”๐’Š๐’ ๐’™ + ๐Ÿ‘๐’„๐’๐’” ๐’™ + ๐‘ช
EXAMPLE 5: Find the โˆซ(๐‘ ๐‘’๐‘2
๐‘ฅ + ๐‘๐‘ ๐‘2
๐‘ฅ) ๐‘‘๐‘ฅ
SOLUTION:
โˆซ(๐’”๐’†๐’„๐Ÿ
๐’™ + ๐’„๐’”๐’„๐Ÿ
๐’™) ๐’…๐’™ = ๐’•๐’‚๐’ ๐’™ โˆ’ ๐’„๐’๐’• ๐’™ + ๐‘ช
EXPONENTIAL & LOGARITHMIC FUNCTIONS INTEGRATION FORMULAS
Differentiation Formulas Integration Formulas
๐’…
๐’…๐’™
(๐’†๐’™
) = ๐’†๐’™ โˆซ ๐’†๐’™
๐’…๐’™ = ๐’†๐’™
+ ๐‘ช
๐’…
๐’…๐’™
(๐’‚๐’™) = ๐’‚๐’™
๐’๐’ ๐’‚, ๐’‚ > ๐ŸŽ โˆซ ๐’‚๐’™
๐’…๐’™ =
๐’‚๐’™
๐’๐’ ๐’‚
+ ๐‘ช, ๐’‚ > ๐ŸŽ
๐’…
๐’…๐’™
(๐’๐’ ๐’™) =
๐Ÿ
๐’™
โˆซ
๐’…๐’™
๐’™
= ๐’๐’ |๐’™| + ๐‘ช
EXAMPLE 6: Find the โˆซ(2๐‘ฅ
โˆ’ 3๐‘ฅ
) ๐‘‘๐‘ฅ
SOLUTION:
โˆซ(๐Ÿ๐’™
โˆ’ ๐Ÿ‘๐’™) =
๐Ÿ๐’™
๐’๐’ ๐Ÿ
โˆ’
๐Ÿ‘๐’™
๐’๐’ ๐Ÿ‘
+ ๐‘ช
EXAMPLE 7: Find the โˆซ(
2
๐‘ฅ
โˆ’ 3๐‘’3
) ๐‘‘๐‘ฅ
SOLUTION:
โˆซ (
๐Ÿ
๐’™
โˆ’ ๐Ÿ‘๐’†๐’™
) ๐’…๐’™ = ๐Ÿ โˆซ
๐’…๐’™
๐’™
โˆ’ ๐Ÿ‘ โˆซ ๐’†๐Ÿ‘
= ๐Ÿ ๐’๐’ |๐’™| โˆ’ ๐Ÿ‘๐’†๐Ÿ‘

More Related Content

What's hot

Gauss-Jordan Theory
Gauss-Jordan TheoryGauss-Jordan Theory
Gauss-Jordan Theory
HernanFula
ย 
Gauss jordan
Gauss jordanGauss jordan
Gauss jordan
jorgeduardooo
ย 
FERMATโ€™S LAST THEOREM PROVED BY INDUCTION (accompanied by a philosophical com...
FERMATโ€™S LAST THEOREM PROVED BY INDUCTION (accompanied by a philosophical com...FERMATโ€™S LAST THEOREM PROVED BY INDUCTION (accompanied by a philosophical com...
FERMATโ€™S LAST THEOREM PROVED BY INDUCTION (accompanied by a philosophical com...
Vasil Penchev
ย 

What's hot (20)

The derivatives module03
The derivatives module03The derivatives module03
The derivatives module03
ย 
Properties of coefficient of correlation
Properties of coefficient of correlationProperties of coefficient of correlation
Properties of coefficient of correlation
ย 
Unidad 1 (segunda parte)
Unidad 1 (segunda parte)Unidad 1 (segunda parte)
Unidad 1 (segunda parte)
ย 
Definition of statistical efficiency
Definition of statistical efficiencyDefinition of statistical efficiency
Definition of statistical efficiency
ย 
UNDETERMINED COEFFICIENT
UNDETERMINED COEFFICIENTUNDETERMINED COEFFICIENT
UNDETERMINED COEFFICIENT
ย 
MT102 ะ›ะตะบั† 15
MT102 ะ›ะตะบั† 15MT102 ะ›ะตะบั† 15
MT102 ะ›ะตะบั† 15
ย 
MT102 ะ›ะตะบั†-1
MT102 ะ›ะตะบั†-1MT102 ะ›ะตะบั†-1
MT102 ะ›ะตะบั†-1
ย 
A uniform distribution has density function find n (1)
A uniform distribution has density function find n (1)A uniform distribution has density function find n (1)
A uniform distribution has density function find n (1)
ย 
SUEC ้ซ˜ไธญ Adv Maths (Polynomial Division)
SUEC ้ซ˜ไธญ Adv Maths (Polynomial Division)SUEC ้ซ˜ไธญ Adv Maths (Polynomial Division)
SUEC ้ซ˜ไธญ Adv Maths (Polynomial Division)
ย 
MT102 ะ›ะตะบั† 13
MT102 ะ›ะตะบั† 13MT102 ะ›ะตะบั† 13
MT102 ะ›ะตะบั† 13
ย 
Regression
RegressionRegression
Regression
ย 
Cheatsheet - Fรณrmulas de Fรญsica para Fรญsica General y Fรญsica de Ingenieros
Cheatsheet - Fรณrmulas de Fรญsica para Fรญsica General y Fรญsica de IngenierosCheatsheet - Fรณrmulas de Fรญsica para Fรญsica General y Fรญsica de Ingenieros
Cheatsheet - Fรณrmulas de Fรญsica para Fรญsica General y Fรญsica de Ingenieros
ย 
Gcse Maths Resources
Gcse Maths ResourcesGcse Maths Resources
Gcse Maths Resources
ย 
Gauss-Jordan Theory
Gauss-Jordan TheoryGauss-Jordan Theory
Gauss-Jordan Theory
ย 
Gauss jordan
Gauss jordanGauss jordan
Gauss jordan
ย 
Basic calculus (ii) recap
Basic calculus (ii) recapBasic calculus (ii) recap
Basic calculus (ii) recap
ย 
FERMATโ€™S LAST THEOREM PROVED BY INDUCTION (accompanied by a philosophical com...
FERMATโ€™S LAST THEOREM PROVED BY INDUCTION (accompanied by a philosophical com...FERMATโ€™S LAST THEOREM PROVED BY INDUCTION (accompanied by a philosophical com...
FERMATโ€™S LAST THEOREM PROVED BY INDUCTION (accompanied by a philosophical com...
ย 
Deriving the inverse of a function2 (composite functions)
Deriving the inverse of a function2 (composite functions)Deriving the inverse of a function2 (composite functions)
Deriving the inverse of a function2 (composite functions)
ย 
Deriving the composition of functions
Deriving the composition of functionsDeriving the composition of functions
Deriving the composition of functions
ย 
ANALISIS RIIL 1 3.1 ROBERT G BARTLE
ANALISIS RIIL 1 3.1 ROBERT G BARTLEANALISIS RIIL 1 3.1 ROBERT G BARTLE
ANALISIS RIIL 1 3.1 ROBERT G BARTLE
ย 

Similar to Module 7 the antiderivative

Relativity
RelativityRelativity
Relativity
edgardoangeles1
ย 
Differentiation (Part 1).pptx
Differentiation (Part 1).pptxDifferentiation (Part 1).pptx
Differentiation (Part 1).pptx
SakibAhmed402053
ย 
BSC_Computer Science_Discrete Mathematics_Unit-I
BSC_Computer Science_Discrete Mathematics_Unit-IBSC_Computer Science_Discrete Mathematics_Unit-I
BSC_Computer Science_Discrete Mathematics_Unit-I
Rai University
ย 
Ejercicios john rangel
Ejercicios john rangelEjercicios john rangel
Ejercicios john rangel
johndaddy
ย 
Semana 24 funciones iv รกlgebra uni ccesa007
Semana 24 funciones iv รกlgebra uni ccesa007Semana 24 funciones iv รกlgebra uni ccesa007
Semana 24 funciones iv รกlgebra uni ccesa007
Demetrio Ccesa Rayme
ย 
Semana 10 numeros complejos i รกlgebra-uni ccesa007
Semana 10   numeros complejos i รกlgebra-uni ccesa007Semana 10   numeros complejos i รกlgebra-uni ccesa007
Semana 10 numeros complejos i รกlgebra-uni ccesa007
Demetrio Ccesa Rayme
ย 

Similar to Module 7 the antiderivative (20)

BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICS
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICSBSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICS
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICS
ย 
Integral calculus
Integral calculusIntegral calculus
Integral calculus
ย 
Recurrence relation of Bessel's and Legendre's function
Recurrence relation of Bessel's and Legendre's functionRecurrence relation of Bessel's and Legendre's function
Recurrence relation of Bessel's and Legendre's function
ย 
Left and Right Folds - Comparison of a mathematical definition and a programm...
Left and Right Folds- Comparison of a mathematical definition and a programm...Left and Right Folds- Comparison of a mathematical definition and a programm...
Left and Right Folds - Comparison of a mathematical definition and a programm...
ย 
Relativity
RelativityRelativity
Relativity
ย 
01. integral fungsi aljabar
01. integral fungsi aljabar01. integral fungsi aljabar
01. integral fungsi aljabar
ย 
E0561719
E0561719E0561719
E0561719
ย 
Ch 5 integration
Ch 5 integration  Ch 5 integration
Ch 5 integration
ย 
Differentiation (Part 1).pptx
Differentiation (Part 1).pptxDifferentiation (Part 1).pptx
Differentiation (Part 1).pptx
ย 
BSC_Computer Science_Discrete Mathematics_Unit-I
BSC_Computer Science_Discrete Mathematics_Unit-IBSC_Computer Science_Discrete Mathematics_Unit-I
BSC_Computer Science_Discrete Mathematics_Unit-I
ย 
BSC_COMPUTER _SCIENCE_UNIT-1_DISCRETE MATHEMATICS
BSC_COMPUTER _SCIENCE_UNIT-1_DISCRETE MATHEMATICSBSC_COMPUTER _SCIENCE_UNIT-1_DISCRETE MATHEMATICS
BSC_COMPUTER _SCIENCE_UNIT-1_DISCRETE MATHEMATICS
ย 
Laplace & Inverse Transform convoltuion them.pptx
Laplace & Inverse Transform convoltuion them.pptxLaplace & Inverse Transform convoltuion them.pptx
Laplace & Inverse Transform convoltuion them.pptx
ย 
Ejercicios john rangel
Ejercicios john rangelEjercicios john rangel
Ejercicios john rangel
ย 
Semana 24 funciones iv รกlgebra uni ccesa007
Semana 24 funciones iv รกlgebra uni ccesa007Semana 24 funciones iv รกlgebra uni ccesa007
Semana 24 funciones iv รกlgebra uni ccesa007
ย 
Fourier series
Fourier series Fourier series
Fourier series
ย 
On ranges and null spaces of a special type of operator named ๐€ โˆ’ ๐’‹๐’†๐’„๐’•๐’Š๐’๐’. โ€“ ...
On ranges and null spaces of a special type of operator named ๐€ โˆ’ ๐’‹๐’†๐’„๐’•๐’Š๐’๐’. โ€“ ...On ranges and null spaces of a special type of operator named ๐€ โˆ’ ๐’‹๐’†๐’„๐’•๐’Š๐’๐’. โ€“ ...
On ranges and null spaces of a special type of operator named ๐€ โˆ’ ๐’‹๐’†๐’„๐’•๐’Š๐’๐’. โ€“ ...
ย 
Semana 10 numeros complejos i รกlgebra-uni ccesa007
Semana 10   numeros complejos i รกlgebra-uni ccesa007Semana 10   numeros complejos i รกlgebra-uni ccesa007
Semana 10 numeros complejos i รกlgebra-uni ccesa007
ย 
Integration
IntegrationIntegration
Integration
ย 
Integrales definidas y ecuaciones diferenciales
Integrales definidas y ecuaciones diferencialesIntegrales definidas y ecuaciones diferenciales
Integrales definidas y ecuaciones diferenciales
ย 
Cuaderno de trabajo derivadas experiencia 3
Cuaderno de trabajo  derivadas experiencia 3Cuaderno de trabajo  derivadas experiencia 3
Cuaderno de trabajo derivadas experiencia 3
ย 

More from REYEMMANUELILUMBA

More from REYEMMANUELILUMBA (20)

Module 10 the reimann sums
Module 10 the reimann sumsModule 10 the reimann sums
Module 10 the reimann sums
ย 
Module 8 the antiderivative substitution rule
Module 8 the antiderivative substitution ruleModule 8 the antiderivative substitution rule
Module 8 the antiderivative substitution rule
ย 
Module 7 the antiderivative
Module 7  the antiderivativeModule 7  the antiderivative
Module 7 the antiderivative
ย 
The algebraic techniques module4
The algebraic techniques module4The algebraic techniques module4
The algebraic techniques module4
ย 
Module 6 the chain rule
Module 6 the chain ruleModule 6 the chain rule
Module 6 the chain rule
ย 
Module 6 the extreme value theorem
Module 6 the extreme value theoremModule 6 the extreme value theorem
Module 6 the extreme value theorem
ย 
The algebraic techniques module4
The algebraic techniques module4The algebraic techniques module4
The algebraic techniques module4
ย 
Module10 the regression analysis
Module10 the regression analysisModule10 the regression analysis
Module10 the regression analysis
ย 
Module9 the pearson correlation
Module9 the pearson correlationModule9 the pearson correlation
Module9 the pearson correlation
ย 
Module9 the pearson correlation
Module9 the pearson correlationModule9 the pearson correlation
Module9 the pearson correlation
ย 
Review on module 9
Review on module 9Review on module 9
Review on module 9
ย 
Module08 hypotheses testing proportions
Module08 hypotheses testing proportionsModule08 hypotheses testing proportions
Module08 hypotheses testing proportions
ย 
Review on module8
Review on module8Review on module8
Review on module8
ย 
Module 7 hypothesis testing
Module 7 hypothesis testingModule 7 hypothesis testing
Module 7 hypothesis testing
ย 
Review on module 7
Review on module 7Review on module 7
Review on module 7
ย 
Statisitcal hypotheses module06
Statisitcal hypotheses module06Statisitcal hypotheses module06
Statisitcal hypotheses module06
ย 
Derivatives of trigo and exponential functions module5
Derivatives of trigo and exponential functions module5Derivatives of trigo and exponential functions module5
Derivatives of trigo and exponential functions module5
ย 
The algebraic techniques module4
The algebraic techniques module4The algebraic techniques module4
The algebraic techniques module4
ย 
Identifying the sampling distribution module5
Identifying the sampling distribution module5Identifying the sampling distribution module5
Identifying the sampling distribution module5
ย 
The algebraic techniques module4
The algebraic techniques module4The algebraic techniques module4
The algebraic techniques module4
ย 

Recently uploaded

Tแป”NG HแปขP Hฦ N 100 ฤแป€ THI THแปฌ TแปT NGHIแป†P THPT TOรN 2024 - Tแปช CรC TRฦฏแปœNG, TRฦฏแปœNG...
Tแป”NG HแปขP Hฦ N 100 ฤแป€ THI THแปฌ TแปT NGHIแป†P THPT TOรN 2024 - Tแปช CรC TRฦฏแปœNG, TRฦฏแปœNG...Tแป”NG HแปขP Hฦ N 100 ฤแป€ THI THแปฌ TแปT NGHIแป†P THPT TOรN 2024 - Tแปช CรC TRฦฏแปœNG, TRฦฏแปœNG...
Tแป”NG HแปขP Hฦ N 100 ฤแป€ THI THแปฌ TแปT NGHIแป†P THPT TOรN 2024 - Tแปช CรC TRฦฏแปœNG, TRฦฏแปœNG...
Nguyen Thanh Tu Collection
ย 
ฤแป€ THAM KHแบขO KรŒ THI TUYแป‚N SINH Vร€O LแปšP 10 Mร”N TIแบพNG ANH FORM 50 Cร‚U TRแบฎC NGHI...
ฤแป€ THAM KHแบขO KรŒ THI TUYแป‚N SINH Vร€O LแปšP 10 Mร”N TIแบพNG ANH FORM 50 Cร‚U TRแบฎC NGHI...ฤแป€ THAM KHแบขO KรŒ THI TUYแป‚N SINH Vร€O LแปšP 10 Mร”N TIแบพNG ANH FORM 50 Cร‚U TRแบฎC NGHI...
ฤแป€ THAM KHแบขO KรŒ THI TUYแป‚N SINH Vร€O LแปšP 10 Mร”N TIแบพNG ANH FORM 50 Cร‚U TRแบฎC NGHI...
Nguyen Thanh Tu Collection
ย 
ๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝ
ๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝ
ๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝ
ไธญ ๅคฎ็คพ
ย 
Personalisation of Education by AI and Big Data - Lourdes Guร rdia
Personalisation of Education by AI and Big Data - Lourdes Guร rdiaPersonalisation of Education by AI and Big Data - Lourdes Guร rdia
Personalisation of Education by AI and Big Data - Lourdes Guร rdia
EADTU
ย 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
EADTU
ย 
ฤeฬ‚ฬ€ tieng anh thpt 2024 danh cho cac ban hoc sinh
ฤeฬ‚ฬ€ tieng anh thpt 2024 danh cho cac ban hoc sinhฤeฬ‚ฬ€ tieng anh thpt 2024 danh cho cac ban hoc sinh
ฤeฬ‚ฬ€ tieng anh thpt 2024 danh cho cac ban hoc sinh
leson0603
ย 

Recently uploaded (20)

UChicago CMSC 23320 - The Best Commit Messages of 2024
UChicago CMSC 23320 - The Best Commit Messages of 2024UChicago CMSC 23320 - The Best Commit Messages of 2024
UChicago CMSC 23320 - The Best Commit Messages of 2024
ย 
Trauma-Informed Leadership - Five Practical Principles
Trauma-Informed Leadership - Five Practical PrinciplesTrauma-Informed Leadership - Five Practical Principles
Trauma-Informed Leadership - Five Practical Principles
ย 
Including Mental Health Support in Project Delivery, 14 May.pdf
Including Mental Health Support in Project Delivery, 14 May.pdfIncluding Mental Health Support in Project Delivery, 14 May.pdf
Including Mental Health Support in Project Delivery, 14 May.pdf
ย 
Book Review of Run For Your Life Powerpoint
Book Review of Run For Your Life PowerpointBook Review of Run For Your Life Powerpoint
Book Review of Run For Your Life Powerpoint
ย 
Tแป”NG HแปขP Hฦ N 100 ฤแป€ THI THแปฌ TแปT NGHIแป†P THPT TOรN 2024 - Tแปช CรC TRฦฏแปœNG, TRฦฏแปœNG...
Tแป”NG HแปขP Hฦ N 100 ฤแป€ THI THแปฌ TแปT NGHIแป†P THPT TOรN 2024 - Tแปช CรC TRฦฏแปœNG, TRฦฏแปœNG...Tแป”NG HแปขP Hฦ N 100 ฤแป€ THI THแปฌ TแปT NGHIแป†P THPT TOรN 2024 - Tแปช CรC TRฦฏแปœNG, TRฦฏแปœNG...
Tแป”NG HแปขP Hฦ N 100 ฤแป€ THI THแปฌ TแปT NGHIแป†P THPT TOรN 2024 - Tแปช CรC TRฦฏแปœNG, TRฦฏแปœNG...
ย 
ฤแป€ THAM KHแบขO KรŒ THI TUYแป‚N SINH Vร€O LแปšP 10 Mร”N TIแบพNG ANH FORM 50 Cร‚U TRแบฎC NGHI...
ฤแป€ THAM KHแบขO KรŒ THI TUYแป‚N SINH Vร€O LแปšP 10 Mร”N TIแบพNG ANH FORM 50 Cร‚U TRแบฎC NGHI...ฤแป€ THAM KHแบขO KรŒ THI TUYแป‚N SINH Vร€O LแปšP 10 Mร”N TIแบพNG ANH FORM 50 Cร‚U TRแบฎC NGHI...
ฤแป€ THAM KHแบขO KรŒ THI TUYแป‚N SINH Vร€O LแปšP 10 Mร”N TIแบพNG ANH FORM 50 Cร‚U TRแบฎC NGHI...
ย 
MOOD STABLIZERS DRUGS.pptx
MOOD     STABLIZERS           DRUGS.pptxMOOD     STABLIZERS           DRUGS.pptx
MOOD STABLIZERS DRUGS.pptx
ย 
8 Tips for Effective Working Capital Management
8 Tips for Effective Working Capital Management8 Tips for Effective Working Capital Management
8 Tips for Effective Working Capital Management
ย 
OS-operating systems- ch05 (CPU Scheduling) ...
OS-operating systems- ch05 (CPU Scheduling) ...OS-operating systems- ch05 (CPU Scheduling) ...
OS-operating systems- ch05 (CPU Scheduling) ...
ย 
When Quality Assurance Meets Innovation in Higher Education - Report launch w...
When Quality Assurance Meets Innovation in Higher Education - Report launch w...When Quality Assurance Meets Innovation in Higher Education - Report launch w...
When Quality Assurance Meets Innovation in Higher Education - Report launch w...
ย 
ๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝ
ๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝ
ๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝๆœƒ่€ƒ่‹ฑ่ฝ
ย 
PSYPACT- Practicing Over State Lines May 2024.pptx
PSYPACT- Practicing Over State Lines May 2024.pptxPSYPACT- Practicing Over State Lines May 2024.pptx
PSYPACT- Practicing Over State Lines May 2024.pptx
ย 
Personalisation of Education by AI and Big Data - Lourdes Guร rdia
Personalisation of Education by AI and Big Data - Lourdes Guร rdiaPersonalisation of Education by AI and Big Data - Lourdes Guร rdia
Personalisation of Education by AI and Big Data - Lourdes Guร rdia
ย 
ANTI PARKISON DRUGS.pptx
ANTI         PARKISON          DRUGS.pptxANTI         PARKISON          DRUGS.pptx
ANTI PARKISON DRUGS.pptx
ย 
How to Manage Website in Odoo 17 Studio App.pptx
How to Manage Website in Odoo 17 Studio App.pptxHow to Manage Website in Odoo 17 Studio App.pptx
How to Manage Website in Odoo 17 Studio App.pptx
ย 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
ย 
Improved Approval Flow in Odoo 17 Studio App
Improved Approval Flow in Odoo 17 Studio AppImproved Approval Flow in Odoo 17 Studio App
Improved Approval Flow in Odoo 17 Studio App
ย 
ฤeฬ‚ฬ€ tieng anh thpt 2024 danh cho cac ban hoc sinh
ฤeฬ‚ฬ€ tieng anh thpt 2024 danh cho cac ban hoc sinhฤeฬ‚ฬ€ tieng anh thpt 2024 danh cho cac ban hoc sinh
ฤeฬ‚ฬ€ tieng anh thpt 2024 danh cho cac ban hoc sinh
ย 
DEMONSTRATION LESSON IN ENGLISH 4 MATATAG CURRICULUM
DEMONSTRATION LESSON IN ENGLISH 4 MATATAG CURRICULUMDEMONSTRATION LESSON IN ENGLISH 4 MATATAG CURRICULUM
DEMONSTRATION LESSON IN ENGLISH 4 MATATAG CURRICULUM
ย 
Analyzing and resolving a communication crisis in Dhaka textiles LTD.pptx
Analyzing and resolving a communication crisis in Dhaka textiles LTD.pptxAnalyzing and resolving a communication crisis in Dhaka textiles LTD.pptx
Analyzing and resolving a communication crisis in Dhaka textiles LTD.pptx
ย 

Module 7 the antiderivative

  • 1. Just like any other mathematical operation, the process of differentiation can be reversed. For example, when we perform the differentiation of ๐‘“(๐‘ฅ) = ๐‘ฅ3 . ๐’‡(๐’™) = ๐’™๐Ÿ‘ ๐’‡โ€ฒ(๐’™) = ๐Ÿ‘๐’™๐Ÿ‘โˆ’๐Ÿ ๐’‡โ€ฒ(๐’™) = ๐Ÿ‘๐’™๐Ÿ Now if you begin with the function ๐’‡(๐’™) = ๐Ÿ‘๐’™๐Ÿ , reversing the process should yield the possible functions below: ๐’‡(๐’™) = ๐’™๐Ÿ‘ ๐’‡(๐’™) = ๐’™๐Ÿ‘ + ๐Ÿ ๐’‡(๐’™) = ๐’™๐Ÿ‘ โˆ’ ๐Ÿ The reversing of the operation of differentiation is known as ANTIDIFFERENETIATION or INDEFINITE INTEGRATION. If the derivative of ๐‘“(๐‘ฅ) = ๐‘ฅ3 is ๐‘“โ€ฒ(๐‘ฅ) = 3๐‘ฅ2 , then we say that an antiderivative of ๐‘“(๐‘ฅ) = 3๐‘ฅ2 is ๐‘“(๐‘ฅ) = ๐‘ฅ3 . ๐’‡(๐’™) = ๐’™๐Ÿ‘ ๐’‡โ€ฒ(๐’™) = ๐Ÿ‘๐’™๐Ÿ โˆซ ๐’‡โ€ฒ(๐’™) ๐’…๐’™ = ๐’‡(๐’™) + ๐‘ช FINDING THE ANTIDERIVATIVE OF A FUNCTION BASIC INTEGRATION FORMULAS Differentiation Formulas Integration Formulas ๐’… ๐’…๐’™ (๐‘ช) = ๐ŸŽ โˆซ ๐ŸŽ ๐’…๐’™ = ๐‘ช ๐’… ๐’…๐’™ (๐’Œ๐’™) = ๐’Œ โˆซ ๐’Œ ๐’…๐’™ = ๐’Œ๐’™ + ๐‘ช ๐’… ๐’…๐’™ (๐’Œ๐‘ญ(๐’™)) = ๐’Œ๐‘ญโ€ฒ(๐’™) โˆซ ๐’Œ ๐’‡(๐’™) ๐’…๐’™ = ๐’Œ โˆซ ๐’‡( ๐’™) ๐’…๐’™ ๐’… ๐’…๐’™ (๐‘ญ(๐’™) + ๐‘ฎ(๐’™)) = ๐‘ญโ€ฒ(๐’™) + ๐‘ฎโ€ฒ(๐’™) โˆซ[๐’‡(๐’™) + ๐’ˆ(๐’™)]๐’…๐’™ = โˆซ ๐’‡(๐’™) ๐’…๐’™ + โˆซ ๐’ˆ(๐’™) ๐’…๐’™ DERIVATIVE INTEGRAL
  • 2. ๐’… ๐’…๐’™ (๐’™๐’) = ๐’๐’™๐’โˆ’๐Ÿ โˆซ ๐’™๐’ ๐’…๐’™ = ๐’™๐’+๐Ÿ ๐’ + ๐Ÿ + ๐‘ช; ๐’ โ‰  โˆ’๐Ÿ EXAMPLE 1: Find the โˆซ 2 SOLUTION: โˆซ ๐Ÿ = ๐Ÿ๐’™ + ๐’„ EXAMPLE 2: Find the โˆซ(๐‘ฅ โˆ’ 3)(๐‘ฅ + 4) SOLUTION: โˆซ(๐’™ โˆ’ ๐Ÿ‘)(๐’™ + ๐Ÿ’) = (๐’™ โˆ’ ๐Ÿ‘)(๐’™ + ๐Ÿ’) = (๐’™๐Ÿ + ๐’™ โˆ’ ๐Ÿ๐Ÿ) = ๐’™๐Ÿ+๐Ÿ ๐Ÿ+๐Ÿ + ๐’™๐Ÿ+๐Ÿ ๐Ÿ+๐Ÿ โˆ’ ๐Ÿ๐Ÿ๐’™ + ๐‘ช = ๐’™๐Ÿ‘ ๐Ÿ‘ + ๐’™๐Ÿ ๐Ÿ โˆ’ ๐Ÿ๐Ÿ๐’™ + ๐‘ช EXAMPLE 3: Find the โˆซ โˆš๐‘ฅ(2๐‘ฅ2 โˆ’ 3๐‘ฅ + 1) SOLUTION: โˆซ โˆš๐‘ฅ(2๐‘ฅ2 โˆ’ 3๐‘ฅ + 1) = (๐’™ ๐Ÿ ๐Ÿ)(2๐‘ฅ2 โˆ’ 3๐‘ฅ + 1) = ๐Ÿ๐’™ ๐Ÿ ๐Ÿ +๐Ÿ โˆ’ ๐Ÿ‘๐’™ ๐Ÿ ๐Ÿ +๐Ÿ + ๐’™ ๐Ÿ ๐Ÿ = ๐Ÿ๐’™ ๐Ÿ“ ๐Ÿ โˆ’ ๐Ÿ‘๐’™ ๐Ÿ‘ ๐Ÿ + ๐’™ ๐Ÿ ๐Ÿ = ๐Ÿ๐’™ ๐Ÿ“ ๐Ÿ +๐Ÿ ๐Ÿ“ ๐Ÿ +๐Ÿ โˆ’ ๐Ÿ‘๐’™ ๐Ÿ‘ ๐Ÿ +๐Ÿ ๐Ÿ‘ ๐Ÿ +๐Ÿ + ๐’™ ๐Ÿ ๐Ÿ +๐Ÿ ๐Ÿ ๐Ÿ +๐Ÿ + ๐‘ช = ๐Ÿ๐’™ ๐Ÿ• ๐Ÿ ๐Ÿ• ๐Ÿ โˆ’ ๐Ÿ‘๐’™ ๐Ÿ“ ๐Ÿ ๐Ÿ“ ๐Ÿ + ๐’™ ๐Ÿ‘ ๐Ÿ ๐Ÿ‘ ๐Ÿ + ๐‘ช = ๐Ÿ’๐’™ ๐Ÿ• ๐Ÿ ๐Ÿ• โˆ’ ๐Ÿ”๐’™ ๐Ÿ“ ๐Ÿ ๐Ÿ“ + ๐Ÿ๐’™ ๐Ÿ‘ ๐Ÿ ๐Ÿ‘ + ๐‘ช
  • 3. = ๐Ÿ’ ๐Ÿ• โˆš๐’™๐Ÿ• โˆ’ ๐Ÿ” ๐Ÿ“ โˆš๐’™๐Ÿ“ + ๐Ÿ ๐Ÿ‘ โˆš๐’™๐Ÿ‘ + ๐‘ช TRIGONOMETRIC FUNCTIONS INTEGRATION FORMULAS Differentiation Formulas Integration Formulas ๐’… ๐’…๐’™ (๐’”๐’Š๐’ ๐’™) = ๐’„๐’๐’” ๐’™ โˆซ ๐’„๐’๐’” ๐’™ ๐’…๐’™ = ๐’”๐’Š๐’ ๐’™ + ๐‘ช ๐’… ๐’…๐’™ (๐’„๐’๐’” ๐’™) = โˆ’๐’”๐’Š๐’ ๐’™ โˆซ ๐’”๐’Š๐’ ๐’™ ๐’…๐’™ = โˆ’๐’„๐’๐’” ๐’™ + ๐‘ช ๐’… ๐’…๐’™ (๐’•๐’‚๐’ ๐’™) = ๐’”๐’†๐’„๐Ÿ ๐’™ โˆซ ๐’”๐’†๐’„๐Ÿ ๐’™ ๐’…๐’™ = ๐’•๐’‚๐’ ๐’™ + ๐‘ช ๐’… ๐’…๐’™ (๐’„๐’๐’• ๐’™) = โˆ’๐’„๐’”๐’„๐Ÿ ๐’™ โˆซ ๐’„๐’”๐’„๐Ÿ ๐’™ ๐’…๐’™ = โˆ’๐’„๐’๐’• ๐’™ + ๐‘ช ๐’… ๐’…๐’™ (๐’”๐’†๐’„ ๐’™) = ๐’”๐’†๐’„ ๐’™ ๐’•๐’‚๐’ ๐’™ โˆซ ๐’”๐’†๐’„ ๐’™ ๐’•๐’‚๐’ ๐’™ ๐’…๐’™ = ๐’”๐’†๐’„ ๐’™ + ๐‘ช ๐’… ๐’…๐’™ (๐’„๐’”๐’„ ๐’™) = โˆ’๐’„๐’”๐’„ ๐’™ ๐’„๐’๐’• ๐’™ โˆซ ๐’„๐’”๐’„ ๐’™ ๐’„๐’๐’• ๐’™ ๐’…๐’™ = โˆ’๐’„๐’”๐’„ ๐’™ + ๐‘ช EXAMPLE 4: Find the โˆซ(4 cos ๐‘ฅ โˆ’ 3 sin๐‘ฅ) ๐‘‘๐‘ฅ SOLUTION: โˆซ(๐Ÿ’ ๐œ๐จ๐ฌ ๐’™ โˆ’ ๐Ÿ‘ ๐ฌ๐ข๐ง ๐’™) ๐’…๐’™ = ๐Ÿ’ โˆซ ๐œ๐จ๐ฌ ๐’™ ๐’…๐’™ โˆ’ ๐Ÿ‘ โˆซ ๐ฌ๐ข๐ง ๐’™ ๐’…๐’™ = ๐Ÿ’๐’”๐’Š๐’ ๐’™ โˆ’ ๐Ÿ‘(โˆ’๐’„๐’๐’” ๐’™) + ๐‘ช = ๐Ÿ’๐’”๐’Š๐’ ๐’™ + ๐Ÿ‘๐’„๐’๐’” ๐’™ + ๐‘ช EXAMPLE 5: Find the โˆซ(๐‘ ๐‘’๐‘2 ๐‘ฅ + ๐‘๐‘ ๐‘2 ๐‘ฅ) ๐‘‘๐‘ฅ SOLUTION: โˆซ(๐’”๐’†๐’„๐Ÿ ๐’™ + ๐’„๐’”๐’„๐Ÿ ๐’™) ๐’…๐’™ = ๐’•๐’‚๐’ ๐’™ โˆ’ ๐’„๐’๐’• ๐’™ + ๐‘ช EXPONENTIAL & LOGARITHMIC FUNCTIONS INTEGRATION FORMULAS Differentiation Formulas Integration Formulas ๐’… ๐’…๐’™ (๐’†๐’™ ) = ๐’†๐’™ โˆซ ๐’†๐’™ ๐’…๐’™ = ๐’†๐’™ + ๐‘ช
  • 4. ๐’… ๐’…๐’™ (๐’‚๐’™) = ๐’‚๐’™ ๐’๐’ ๐’‚, ๐’‚ > ๐ŸŽ โˆซ ๐’‚๐’™ ๐’…๐’™ = ๐’‚๐’™ ๐’๐’ ๐’‚ + ๐‘ช, ๐’‚ > ๐ŸŽ ๐’… ๐’…๐’™ (๐’๐’ ๐’™) = ๐Ÿ ๐’™ โˆซ ๐’…๐’™ ๐’™ = ๐’๐’ |๐’™| + ๐‘ช EXAMPLE 6: Find the โˆซ(2๐‘ฅ โˆ’ 3๐‘ฅ ) ๐‘‘๐‘ฅ SOLUTION: โˆซ(๐Ÿ๐’™ โˆ’ ๐Ÿ‘๐’™) = ๐Ÿ๐’™ ๐’๐’ ๐Ÿ โˆ’ ๐Ÿ‘๐’™ ๐’๐’ ๐Ÿ‘ + ๐‘ช EXAMPLE 7: Find the โˆซ( 2 ๐‘ฅ โˆ’ 3๐‘’3 ) ๐‘‘๐‘ฅ SOLUTION: โˆซ ( ๐Ÿ ๐’™ โˆ’ ๐Ÿ‘๐’†๐’™ ) ๐’…๐’™ = ๐Ÿ โˆซ ๐’…๐’™ ๐’™ โˆ’ ๐Ÿ‘ โˆซ ๐’†๐Ÿ‘ = ๐Ÿ ๐’๐’ |๐’™| โˆ’ ๐Ÿ‘๐’†๐Ÿ‘