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DERIVATIVES
Derivatives of implicit functions
Find derivative of π‘₯2
+ 𝑦2
+ 2𝑔π‘₯ + 2𝑓𝑦 + 𝑐 = 0
β€’
𝑑
𝑑π‘₯
π‘₯2 + 𝑦2 + 2𝑔π‘₯ + 2𝑓𝑦 + 𝑐 =
𝑑0
𝑑π‘₯
β€’
𝑑π‘₯2
𝑑π‘₯
+
𝑑𝑦2
𝑑π‘₯
+
𝑑2𝑔π‘₯
𝑑π‘₯
+
𝑑2𝑓𝑦
𝑑π‘₯
+
𝑑𝑐
𝑑π‘₯
=0
β€’ 2π‘₯ + 2𝑦
𝑑𝑦
𝑑π‘₯
+ 2𝑔 1 + 2𝑓
𝑑𝑦
𝑑π‘₯
= 0
β€’ 2𝑦
𝑑𝑦
𝑑π‘₯
+ 2𝑓
𝑑𝑦
𝑑π‘₯
= βˆ’2π‘₯ βˆ’ 2𝑔
β€’
𝑑𝑦
𝑑π‘₯
2𝑦 + 2𝑓 = βˆ’2π‘₯ βˆ’ 2𝑔
β€’
𝑑𝑦
𝑑π‘₯
=
βˆ’2π‘₯βˆ’2𝑔
2𝑦+2𝑓
=
2(βˆ’π‘₯βˆ’π‘”)
2(𝑦+𝑓)
=
βˆ’π‘₯βˆ’π‘”
𝑦+𝑓
Find derivative of π‘Žπ‘₯2
+ 2β„Žπ‘₯𝑦 + 𝑏𝑦2
+ 2𝑔π‘₯ + 2𝑓𝑦 + 𝑐 = 0
β€’
𝑑
𝑑π‘₯
π‘Žπ‘₯2
+ 2β„Žπ‘₯𝑦 + 𝑏𝑦2
+ 2𝑔π‘₯ + 2𝑓𝑦 + 𝑐 =
𝑑0
𝑑π‘₯
β€’
π‘‘π‘Žπ‘₯2
𝑑π‘₯
+
𝑑2β„Žπ‘₯𝑦
𝑑π‘₯
+
𝑑𝑏𝑦2
𝑑π‘₯
+
𝑑2𝑔π‘₯
𝑑π‘₯
+
𝑑2𝑓𝑦
𝑑π‘₯
+
𝑑𝑐
𝑑π‘₯
=0
β€’ 2π‘Žπ‘₯ + 2β„Ž
𝑑π‘₯𝑦
𝑑π‘₯
+ 2𝑏𝑦
𝑑𝑦
𝑑π‘₯
+ 2𝑔 1 + 2𝑓
𝑑𝑦
𝑑π‘₯
= 0
β€’ 2π‘Žπ‘₯ + 2β„Ž 𝑦
𝑑π‘₯
𝑑π‘₯
+ π‘₯
𝑑𝑦
𝑑π‘₯
+ 2by
𝑑𝑦
𝑑π‘₯
+ 2𝑔 + 2𝑓
𝑑𝑦
𝑑π‘₯
= 0
β€’ 2π‘Žπ‘₯ + 2β„Ž 𝑦 1 + π‘₯
𝑑𝑦
𝑑π‘₯
+ 2𝑏𝑦
𝑑𝑦
𝑑π‘₯
+ 2g + 2f
𝑑𝑦
𝑑π‘₯
= 0
β€’ 2π‘Žπ‘₯ + 2β„Žπ‘¦ + 2β„Žπ‘₯
𝑑𝑦
𝑑π‘₯
+ 2𝑏𝑦
𝑑𝑦
𝑑π‘₯
+ 2𝑔 + 2𝑓
𝑑𝑦
𝑑π‘₯
=
0
β€’ 2β„Žπ‘₯
𝑑𝑦
𝑑π‘₯
+ 2𝑏𝑦
𝑑𝑦
𝑑π‘₯
+ 2𝑓
𝑑𝑦
𝑑π‘₯
= βˆ’2π‘Žπ‘₯ βˆ’ 2β„Žπ‘¦ βˆ’ 2𝑔
β€’
𝑑𝑦
𝑑π‘₯
2β„Žπ‘₯ + 2𝑏𝑦 + 2𝑓 = βˆ’2π‘Žπ‘₯ βˆ’ 2β„Žπ‘¦ βˆ’ 2𝑔
β€’
𝑑𝑦
𝑑π‘₯
=
βˆ’2π‘Žπ‘₯βˆ’2β„Žπ‘¦βˆ’2𝑔
2β„Žπ‘₯+2𝑏𝑦+2𝑓
β€’
𝑑𝑦
𝑑π‘₯
=
βˆ’2(π‘Žπ‘₯βˆ’β„Žπ‘¦βˆ’π‘”)
2(β„Žπ‘₯+𝑏𝑦+𝑓)
=
βˆ’(π‘Žπ‘₯βˆ’β„Žπ‘¦βˆ’π‘”)
(β„Žπ‘₯+𝑏𝑦+𝑓)
Find derivative of
π‘₯2
π‘Ž2 +
𝑦2
𝑏2 = 1
β€’
𝒅
π’™πŸ
π’‚πŸ
𝒅𝒙
+
𝒅
π’šπŸ
π’ƒπŸ
𝒅𝒙
=
π’…πŸ
𝒅𝒙
β€’
πŸπ’™
π’‚πŸ+
πŸπ’š
π’ƒπŸ
π’…π’š
𝒅𝒙
= 𝟎
β€’
πŸπ’š
π’ƒπŸ
π’…π’š
𝒅𝒙
=-
πŸπ’™
π’‚πŸ
β€’
π’…π’š
𝒅𝒙
= -
πŸπ’™
π’‚πŸ Γ—
π’ƒπŸ
πŸπ’š
β€’
π’…π’š
𝒅𝒙
=
βˆ’π’™π’ƒπŸ
π’šπ’‚πŸ
Find derivative of logarithmic functions
β€’ Sometimes a function is given as a
product and quotient of number of
functions in such condition we need to
logarithm of both the side of function
to differentiating it.
β€’ For example
β€’ 𝑓 π‘₯ =
π‘₯2 6π‘₯+7 9
3π‘₯+2 7
β€’ 𝑦 = π‘₯π‘₯
β€’ 𝑦 = π‘₯𝑒π‘₯
β€’ π‘₯𝑦 = 𝑦π‘₯
β€’ 𝑦 =
π‘₯
3
2 1βˆ’4π‘₯ 7
5βˆ’π‘₯
7
2 15βˆ’8π‘₯
1
2
Find derivative of
(i) 𝑦 = π‘₯π‘₯
(ii)y=π‘₯𝑒π‘₯
β€’ 𝑦 = π‘₯π‘₯
β€’ Taking logarithm of both the side
β€’ π‘™π‘œπ‘”π‘¦ = π‘™π‘œπ‘”π‘₯π‘₯
β€’ π‘™π‘œπ‘”π‘¦ = π‘₯π‘™π‘œπ‘”π‘₯
β€’
π‘‘π‘™π‘œπ‘”π‘¦
𝑑π‘₯
=
𝑑π‘₯π‘™π‘œπ‘”π‘₯
𝑑π‘₯
β€’
1
𝑦
Γ—
𝑑𝑦
𝑑π‘₯
= π‘₯
π‘‘π‘™π‘œπ‘”π‘₯
𝑑π‘₯
+ π‘™π‘œπ‘”π‘₯
𝑑π‘₯
𝑑π‘₯
β€’
1
𝑦
Γ—
𝑑𝑦
𝑑π‘₯
= π‘₯
1
π‘₯
+ π‘™π‘œπ‘”π‘₯ 1
β€’
1
𝑦
Γ—
𝑑𝑦
𝑑π‘₯
= (1 + π‘™π‘œπ‘”π‘₯)
β€’
𝑑𝑦
𝑑π‘₯
= 𝑦(1 + π‘™π‘œπ‘”π‘₯)=π‘₯π‘₯
1 + π‘™π‘œπ‘”π‘₯
β€’ y=π‘₯𝑒π‘₯
β€’ Taking logarithm of both the side
β€’ π‘™π‘œπ‘”π‘¦ = π‘™π‘œπ‘” π‘₯𝑒π‘₯
(π‘™π‘œπ‘”π‘Žπ‘›
= π‘›π‘™π‘œπ‘”π‘Ž)
β€’ ∴ π‘™π‘œπ‘”π‘¦ = 𝑒π‘₯ π‘™π‘œπ‘”π‘₯
β€’
π‘‘π‘™π‘œπ‘”π‘¦
𝑑π‘₯
=
𝑑𝑒π‘₯π‘™π‘œπ‘”π‘₯
𝑑π‘₯
β€’
1
𝑦
Γ—
𝑑𝑦
𝑑π‘₯
= π‘™π‘œπ‘”π‘₯
𝑑𝑒π‘₯
𝑑π‘₯
+ 𝑒π‘₯ π‘‘π‘™π‘œπ‘”π‘₯
𝑑π‘₯
β€’
1
𝑦
Γ—
𝑑𝑦
𝑑π‘₯
= π‘™π‘œπ‘”π‘₯ 𝑒π‘₯
+ 𝑒π‘₯ 1
π‘₯
β€’
1
𝑦
Γ—
𝑑𝑦
𝑑π‘₯
= 𝑒π‘₯
(π‘™π‘œπ‘”π‘₯ +
1
π‘₯
)
β€’
𝑑𝑦
𝑑π‘₯
= 𝑦 𝑒π‘₯(π‘™π‘œπ‘”π‘₯ +
1
π‘₯
)=π‘₯𝑒π‘₯
𝑒π‘₯(π‘™π‘œπ‘”π‘₯ +
1
π‘₯
)
Find derivative of 𝑦 =
π‘₯+8
3βˆ’π‘₯
2
5
β€’ 𝑦 =
𝒙+πŸ–
πŸ‘βˆ’π’™
𝟐
πŸ“
β€’ Taking logarithm of both the side
β€’ π’π’π’ˆπ’š = π’π’π’ˆ
𝒙+πŸ–
πŸ‘βˆ’π’™
𝟐
πŸ“
β€’ π’π’π’ˆπ’š =
𝟐
πŸ“
π’π’π’ˆ
𝒙+πŸ–
πŸ‘βˆ’π’™
π’π’π’ˆπ’‚π’
= π’π’π’π’ˆπ’‚
β€’
π’…π’π’π’ˆπ’š
𝒅𝒙
=
𝟐
πŸ“
π₯𝐨𝐠 𝒙 + πŸ– βˆ’ π₯𝐨𝐠(πŸ‘ βˆ’ 𝒙) (π’π’π’ˆ
𝒂
𝒃
=π’π’π’ˆπ’‚ βˆ’ π’π’π’ˆπ’ƒ)
β€’
𝟏
π’š
Γ—
π’…π’š
𝒅𝒙
=
𝟐
πŸ“
𝒅
𝒅𝒙
π’π’π’ˆ 𝒙 + πŸ– βˆ’ π’π’π’ˆ(πŸ‘ βˆ’ 𝒙)
β€’
𝟏
π’š
Γ—
π’…π’š
𝒅𝒙
=
𝟐
πŸ“
𝒅
𝒅𝒙
π’π’π’ˆ 𝒙 + πŸ– βˆ’
𝒅
𝒅𝒙
π’π’π’ˆ πŸ‘ βˆ’ 𝒙
β€’
𝟏
π’š
Γ—
π’…π’š
𝒅𝒙
=
𝟐
πŸ“
𝟏
(𝒙+πŸ–)
𝒅
𝒅𝒙
(𝒙 + πŸ–) βˆ’
𝟏
(πŸ‘βˆ’π’™)
𝒅
𝒅𝒙
(πŸ‘ βˆ’ 𝒙) π’„π’‰π’‚π’Šπ’ 𝒓𝒖𝒍𝒆,
π’…π’π’π’ˆπ’™
𝒅𝒙
=
𝟏
𝒙
β€’
𝟏
π’š
Γ—
π’…π’š
𝒅𝒙
=
𝟐
πŸ“
𝟏
(𝒙+πŸ–)
(𝟏) βˆ’
𝟏
(πŸ‘βˆ’π’™)
(βˆ’πŸ)
β€’
𝟏
π’š
Γ—
π’…π’š
𝒅𝒙
=
𝟐
πŸ“
𝟏
𝒙+πŸ–
+
𝟏
πŸ‘βˆ’π’™
β€’
1
𝑦
Γ—
𝑑𝑦
𝑑π‘₯
=
2
5
3βˆ’π‘₯ +(π‘₯+8)
(π‘₯+8)(3βˆ’π‘₯)
β€’ =
2
5
3βˆ’π‘₯+π‘₯+8
(π‘₯+8)(3βˆ’π‘₯)
β€’ =
2
5
11
(π‘₯+8)(3βˆ’π‘₯)
β€’
1
𝑦
Γ—
𝑑𝑦
𝑑π‘₯
=
22
5(π‘₯+8)(3βˆ’π‘₯)
β€’
𝑑𝑦
𝑑π‘₯
=𝑦
22
5(π‘₯+8)(3βˆ’π‘₯)
β€’
𝑑𝑦
𝑑π‘₯
=
π‘₯+8
3βˆ’π‘₯
2
5 22
5(π‘₯+8)(3βˆ’π‘₯)
Find derivative of π‘₯𝑦
= 𝑦π‘₯
β€’ π‘₯𝑦 = 𝑦π‘₯
β€’ Taking logarithm of both the sides
β€’ π‘™π‘œπ‘”π‘₯𝑦
= π‘™π‘œπ‘”π‘¦π‘₯
β€’ π‘¦π‘™π‘œπ‘”π‘₯ = π‘₯π‘™π‘œπ‘”π‘¦
β€’
𝑑
𝑑π‘₯
π‘¦π‘™π‘œπ‘”π‘₯ =
𝑑
𝑑π‘₯
π‘₯π‘™π‘œπ‘”π‘¦ (applying law of multiplication )
β€’ π‘™π‘œπ‘”π‘₯ Γ—
𝑑𝑦
𝑑π‘₯
+ 𝑦
𝑑
𝑑π‘₯
π‘™π‘œπ‘”π‘₯=π‘™π‘œπ‘”π‘¦
𝑑
𝑑π‘₯
π‘₯ + π‘₯
𝑑
𝑑π‘₯
π‘™π‘œπ‘”π‘¦
β€’ π‘™π‘œπ‘”π‘₯ Γ—
𝑑𝑦
𝑑π‘₯
+ 𝑦
1
π‘₯
=π‘™π‘œπ‘”π‘¦ 1 + π‘₯
1
𝑦
𝑑𝑦
𝑑π‘₯
β€’ π‘™π‘œπ‘”π‘₯
𝑑𝑦
𝑑π‘₯
+
𝑦
π‘₯
= π‘™π‘œπ‘”π‘¦ +
π‘₯
𝑦
𝑑𝑦
𝑑π‘₯
β€’ π‘™π‘œπ‘”π‘₯
𝑑𝑦
𝑑π‘₯
βˆ’
π‘₯
𝑦
𝑑𝑦
𝑑π‘₯
=logy βˆ’
𝑦
π‘₯
β€’
𝑑𝑦
𝑑π‘₯
(π‘™π‘œπ‘”π‘₯ βˆ’
π‘₯
𝑦
) =logy βˆ’
𝑦
π‘₯
β€’
𝑑𝑦
𝑑π‘₯
π‘¦π‘™π‘œπ‘”π‘₯βˆ’π‘₯
𝑦
=
π‘₯π‘™π‘œπ‘”π‘¦βˆ’π‘¦
π‘₯
β€’
𝑑𝑦
𝑑π‘₯
=
𝑦(π‘₯π‘™π‘œπ‘”π‘¦βˆ’π‘¦)
π‘₯(π‘¦π‘™π‘œπ‘”π‘₯βˆ’π‘₯)
Find derivative of 𝑦 =
π‘₯
3
2 1βˆ’4π‘₯ 7
5βˆ’π‘₯
7
2 15βˆ’8π‘₯
1
2
β€’ 𝑦 =
π‘₯
3
2 1βˆ’4π‘₯ 7
5βˆ’π‘₯
7
2 15βˆ’8π‘₯
1
2
β€’ Taking log of both the side
β€’ π‘™π‘œπ‘”π‘¦ = π‘™π‘œπ‘”
π‘₯
3
2 1βˆ’4π‘₯ 7
5βˆ’π‘₯
7
2 15βˆ’8π‘₯
1
2
β€’ π‘™π‘œπ‘”π‘¦ = π‘™π‘œπ‘” π‘₯
3
2 +π‘™π‘œπ‘” 1 βˆ’ 4π‘₯ 7
βˆ’ π‘™π‘œπ‘” 5 βˆ’ π‘₯
7
2 + π‘™π‘œπ‘” 15 βˆ’ 8π‘₯
1
2
β€’ π‘™π‘œπ‘”π‘¦ =
3
2
π‘™π‘œπ‘”π‘₯ + 7log(1 βˆ’ 4π‘₯) βˆ’
7
2
log 5 βˆ’ π‘₯ +
1
2
log(15 βˆ’ 8π‘₯)
β€’
𝑑
𝑑π‘₯
π‘™π‘œπ‘”π‘¦ =
𝑑
𝑑π‘₯
3
2
π‘™π‘œπ‘”π‘₯ + 7log(1 βˆ’ 4π‘₯) βˆ’
7
2
log 5 βˆ’ π‘₯ +
1
2
log(15 βˆ’ 8π‘₯)
β€’
1
𝑦
𝑑𝑦
𝑑π‘₯
=
3
2
Γ—
1
π‘₯
+ 7
1
1βˆ’4π‘₯
𝑑(1βˆ’4π‘₯)
𝑑π‘₯
βˆ’
7
2
1
(5βˆ’π‘₯)
𝑑(5βˆ’π‘₯)
𝑑π‘₯
+
1
2
1
(15βˆ’8π‘₯)
𝑑(15βˆ’8π‘₯)
𝑑π‘₯
β€’
1
𝑦
𝑑𝑦
𝑑π‘₯
=
3
2π‘₯
+
7(βˆ’4)
1βˆ’4π‘₯
βˆ’
7
2 5βˆ’π‘₯
(βˆ’1) +
1
2 15βˆ’8π‘₯
(βˆ’8)
β€’
𝑑𝑦
𝑑π‘₯
=
π‘₯
3
2 1βˆ’4π‘₯ 7
5βˆ’π‘₯
7
2 15βˆ’8π‘₯
1
2
3
2π‘₯
+
(βˆ’28)
1βˆ’4π‘₯
βˆ’
βˆ’7
2 5βˆ’π‘₯
+
βˆ’8
2 15βˆ’8π‘₯
Derivative of parametric equations
β€’ If y =f(t) and x=g(t) then
𝑑𝑦
𝑑π‘₯
=
𝑑𝑦
𝑑𝑑
𝑑π‘₯
𝑑𝑑
here t is parameter and equations are known as
parametric equations
β€’ For e.g. x=π‘Žπ‘‘2 and y = 2π‘Žπ‘‘
β€’ Y=π‘₯π‘₯π‘₯π‘₯π‘₯βˆ’βˆ’βˆ’βˆ’βˆž
β€’ Y=π‘™π‘œπ‘”π‘‘ + 1 π‘Žπ‘›π‘‘ π‘₯ = π‘‘π‘Žπ‘‘
β€’ Differentiate π‘₯2𝑒π‘₯ π‘€π‘–π‘‘β„Ž π‘Ÿπ‘’π‘π‘’π‘π‘‘ π‘‘π‘œ log π‘₯
β€’ Differentiate π‘₯π‘™π‘œπ‘”π‘₯ π‘€π‘–π‘‘β„Ž π‘Ÿπ‘’π‘ π‘π‘’π‘π‘‘ π‘‘π‘œ 3π‘₯π‘₯3
β€’ Y= π‘₯ + π‘₯ + π‘₯ + π‘₯ + β‹― … … … … … … … . . ∞
Application of derivatives :
β€’ Study of derivative is important in various fields like
β€’ Economics
β€’ Business
β€’ Psychology
β€’ Many problems of trade and commerce
β€’ Maximization of profit and minimization of cost and loss .
β€’ To obtain marginal cost and marginal revenue
β€’ To obtain elasticity of demand and supply
β€’ To obtain maximum and minimum value of any function and stationary values
Homogeneous functions of two variables
β€’ A function is called homogeneous if the degree of all the
terms are equal then only it can be represent in the form of
𝒖 = 𝒙𝒏𝒇
π’š
𝒙
, or 𝒖 = π’šπ’π’‡
𝒙
π’š
β€’ A function u(x , y) is called homogeneous of degree n if u(x
, y) is expressed in the form of
β€’ 𝒖 = 𝒙𝒏𝒇
π’š
𝒙
, or 𝒖 = π’šπ’π’‡
𝒙
π’š
β€’ For example :
𝒙+π’š
𝒙+ π’š
because it can be represented as 𝒖 = 𝒙
𝟏
𝟐
𝟏+
π’š
𝒙
𝟏+
π’š
𝒙
= 𝒙
𝟏
πŸπ’‡
π’š
𝒙
‒𝒖 =
𝒙+π’š
𝒙+ π’š
β€’ =
𝒙
(𝒙+π’š)
𝒙
𝒙
( 𝒙+ π’š)
𝒙
β€’ =
π‘₯
π‘₯
π‘₯
+
𝑦
π‘₯
π‘₯
π‘₯
π‘₯
+
𝑦
π‘₯
=
π‘₯ 1+
𝑦
π‘₯
π‘₯
1
2 1+
𝑦
π‘₯
β€’ =π‘₯1βˆ’
1
2
1+
𝑦
π‘₯
1+
𝑦
π‘₯
= π‘₯
1
2
1+
𝑦
π‘₯
1+
𝑦
π‘₯
=π‘₯
1
2 𝑓
𝑦
π‘₯
Euler’s theorem
β€’ Homogeneity of degree one is often called linear homogeneity .
β€’ linear homogeneous function U=x+2y
β€’ An important property of homogeneous function is given by Euler's theorem.
β€’ It is developed by swiss mathematician Leonhard Euler
β€’ It is mathematical relationship that applies to homogeneous function.
β€’ If production function is homogeneous and one degree one and factors of production are
paid equal to marginal products (income =payment to factor (rent , wages, profit ,interest
)total product is exhausted with no surplus(profit) and deficit(loss).
β€’ With the help of this theorem we can determine ,labor , capital for maximum production
Euler's theorem
β€’ If function u(x , y) is homogeneous function of degree n then
β€’ π‘₯
πœ•π‘’
πœ•π‘₯
+ 𝑦
πœ•π‘’
πœ•π‘¦
= 𝑛𝑒 π‘Žπ‘›π‘‘ π‘₯2 πœ•2𝑦
πœ•π‘₯2 + 2π‘₯𝑦
πœ•π‘’
πœ•π‘₯πœ•π‘¦
+ 𝑦2 πœ•2π‘₯
πœ•π‘¦2 = 𝑛 𝑛 βˆ’ 1 𝑒

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DERIVATIVES implicit function.pptx

  • 2. Find derivative of π‘₯2 + 𝑦2 + 2𝑔π‘₯ + 2𝑓𝑦 + 𝑐 = 0 β€’ 𝑑 𝑑π‘₯ π‘₯2 + 𝑦2 + 2𝑔π‘₯ + 2𝑓𝑦 + 𝑐 = 𝑑0 𝑑π‘₯ β€’ 𝑑π‘₯2 𝑑π‘₯ + 𝑑𝑦2 𝑑π‘₯ + 𝑑2𝑔π‘₯ 𝑑π‘₯ + 𝑑2𝑓𝑦 𝑑π‘₯ + 𝑑𝑐 𝑑π‘₯ =0 β€’ 2π‘₯ + 2𝑦 𝑑𝑦 𝑑π‘₯ + 2𝑔 1 + 2𝑓 𝑑𝑦 𝑑π‘₯ = 0 β€’ 2𝑦 𝑑𝑦 𝑑π‘₯ + 2𝑓 𝑑𝑦 𝑑π‘₯ = βˆ’2π‘₯ βˆ’ 2𝑔 β€’ 𝑑𝑦 𝑑π‘₯ 2𝑦 + 2𝑓 = βˆ’2π‘₯ βˆ’ 2𝑔 β€’ 𝑑𝑦 𝑑π‘₯ = βˆ’2π‘₯βˆ’2𝑔 2𝑦+2𝑓 = 2(βˆ’π‘₯βˆ’π‘”) 2(𝑦+𝑓) = βˆ’π‘₯βˆ’π‘” 𝑦+𝑓
  • 3. Find derivative of π‘Žπ‘₯2 + 2β„Žπ‘₯𝑦 + 𝑏𝑦2 + 2𝑔π‘₯ + 2𝑓𝑦 + 𝑐 = 0 β€’ 𝑑 𝑑π‘₯ π‘Žπ‘₯2 + 2β„Žπ‘₯𝑦 + 𝑏𝑦2 + 2𝑔π‘₯ + 2𝑓𝑦 + 𝑐 = 𝑑0 𝑑π‘₯ β€’ π‘‘π‘Žπ‘₯2 𝑑π‘₯ + 𝑑2β„Žπ‘₯𝑦 𝑑π‘₯ + 𝑑𝑏𝑦2 𝑑π‘₯ + 𝑑2𝑔π‘₯ 𝑑π‘₯ + 𝑑2𝑓𝑦 𝑑π‘₯ + 𝑑𝑐 𝑑π‘₯ =0 β€’ 2π‘Žπ‘₯ + 2β„Ž 𝑑π‘₯𝑦 𝑑π‘₯ + 2𝑏𝑦 𝑑𝑦 𝑑π‘₯ + 2𝑔 1 + 2𝑓 𝑑𝑦 𝑑π‘₯ = 0 β€’ 2π‘Žπ‘₯ + 2β„Ž 𝑦 𝑑π‘₯ 𝑑π‘₯ + π‘₯ 𝑑𝑦 𝑑π‘₯ + 2by 𝑑𝑦 𝑑π‘₯ + 2𝑔 + 2𝑓 𝑑𝑦 𝑑π‘₯ = 0 β€’ 2π‘Žπ‘₯ + 2β„Ž 𝑦 1 + π‘₯ 𝑑𝑦 𝑑π‘₯ + 2𝑏𝑦 𝑑𝑦 𝑑π‘₯ + 2g + 2f 𝑑𝑦 𝑑π‘₯ = 0 β€’ 2π‘Žπ‘₯ + 2β„Žπ‘¦ + 2β„Žπ‘₯ 𝑑𝑦 𝑑π‘₯ + 2𝑏𝑦 𝑑𝑦 𝑑π‘₯ + 2𝑔 + 2𝑓 𝑑𝑦 𝑑π‘₯ = 0 β€’ 2β„Žπ‘₯ 𝑑𝑦 𝑑π‘₯ + 2𝑏𝑦 𝑑𝑦 𝑑π‘₯ + 2𝑓 𝑑𝑦 𝑑π‘₯ = βˆ’2π‘Žπ‘₯ βˆ’ 2β„Žπ‘¦ βˆ’ 2𝑔 β€’ 𝑑𝑦 𝑑π‘₯ 2β„Žπ‘₯ + 2𝑏𝑦 + 2𝑓 = βˆ’2π‘Žπ‘₯ βˆ’ 2β„Žπ‘¦ βˆ’ 2𝑔 β€’ 𝑑𝑦 𝑑π‘₯ = βˆ’2π‘Žπ‘₯βˆ’2β„Žπ‘¦βˆ’2𝑔 2β„Žπ‘₯+2𝑏𝑦+2𝑓 β€’ 𝑑𝑦 𝑑π‘₯ = βˆ’2(π‘Žπ‘₯βˆ’β„Žπ‘¦βˆ’π‘”) 2(β„Žπ‘₯+𝑏𝑦+𝑓) = βˆ’(π‘Žπ‘₯βˆ’β„Žπ‘¦βˆ’π‘”) (β„Žπ‘₯+𝑏𝑦+𝑓)
  • 4. Find derivative of π‘₯2 π‘Ž2 + 𝑦2 𝑏2 = 1 β€’ 𝒅 π’™πŸ π’‚πŸ 𝒅𝒙 + 𝒅 π’šπŸ π’ƒπŸ 𝒅𝒙 = π’…πŸ 𝒅𝒙 β€’ πŸπ’™ π’‚πŸ+ πŸπ’š π’ƒπŸ π’…π’š 𝒅𝒙 = 𝟎 β€’ πŸπ’š π’ƒπŸ π’…π’š 𝒅𝒙 =- πŸπ’™ π’‚πŸ β€’ π’…π’š 𝒅𝒙 = - πŸπ’™ π’‚πŸ Γ— π’ƒπŸ πŸπ’š β€’ π’…π’š 𝒅𝒙 = βˆ’π’™π’ƒπŸ π’šπ’‚πŸ
  • 5. Find derivative of logarithmic functions β€’ Sometimes a function is given as a product and quotient of number of functions in such condition we need to logarithm of both the side of function to differentiating it. β€’ For example β€’ 𝑓 π‘₯ = π‘₯2 6π‘₯+7 9 3π‘₯+2 7 β€’ 𝑦 = π‘₯π‘₯ β€’ 𝑦 = π‘₯𝑒π‘₯ β€’ π‘₯𝑦 = 𝑦π‘₯ β€’ 𝑦 = π‘₯ 3 2 1βˆ’4π‘₯ 7 5βˆ’π‘₯ 7 2 15βˆ’8π‘₯ 1 2
  • 6. Find derivative of (i) 𝑦 = π‘₯π‘₯ (ii)y=π‘₯𝑒π‘₯ β€’ 𝑦 = π‘₯π‘₯ β€’ Taking logarithm of both the side β€’ π‘™π‘œπ‘”π‘¦ = π‘™π‘œπ‘”π‘₯π‘₯ β€’ π‘™π‘œπ‘”π‘¦ = π‘₯π‘™π‘œπ‘”π‘₯ β€’ π‘‘π‘™π‘œπ‘”π‘¦ 𝑑π‘₯ = 𝑑π‘₯π‘™π‘œπ‘”π‘₯ 𝑑π‘₯ β€’ 1 𝑦 Γ— 𝑑𝑦 𝑑π‘₯ = π‘₯ π‘‘π‘™π‘œπ‘”π‘₯ 𝑑π‘₯ + π‘™π‘œπ‘”π‘₯ 𝑑π‘₯ 𝑑π‘₯ β€’ 1 𝑦 Γ— 𝑑𝑦 𝑑π‘₯ = π‘₯ 1 π‘₯ + π‘™π‘œπ‘”π‘₯ 1 β€’ 1 𝑦 Γ— 𝑑𝑦 𝑑π‘₯ = (1 + π‘™π‘œπ‘”π‘₯) β€’ 𝑑𝑦 𝑑π‘₯ = 𝑦(1 + π‘™π‘œπ‘”π‘₯)=π‘₯π‘₯ 1 + π‘™π‘œπ‘”π‘₯ β€’ y=π‘₯𝑒π‘₯ β€’ Taking logarithm of both the side β€’ π‘™π‘œπ‘”π‘¦ = π‘™π‘œπ‘” π‘₯𝑒π‘₯ (π‘™π‘œπ‘”π‘Žπ‘› = π‘›π‘™π‘œπ‘”π‘Ž) β€’ ∴ π‘™π‘œπ‘”π‘¦ = 𝑒π‘₯ π‘™π‘œπ‘”π‘₯ β€’ π‘‘π‘™π‘œπ‘”π‘¦ 𝑑π‘₯ = 𝑑𝑒π‘₯π‘™π‘œπ‘”π‘₯ 𝑑π‘₯ β€’ 1 𝑦 Γ— 𝑑𝑦 𝑑π‘₯ = π‘™π‘œπ‘”π‘₯ 𝑑𝑒π‘₯ 𝑑π‘₯ + 𝑒π‘₯ π‘‘π‘™π‘œπ‘”π‘₯ 𝑑π‘₯ β€’ 1 𝑦 Γ— 𝑑𝑦 𝑑π‘₯ = π‘™π‘œπ‘”π‘₯ 𝑒π‘₯ + 𝑒π‘₯ 1 π‘₯ β€’ 1 𝑦 Γ— 𝑑𝑦 𝑑π‘₯ = 𝑒π‘₯ (π‘™π‘œπ‘”π‘₯ + 1 π‘₯ ) β€’ 𝑑𝑦 𝑑π‘₯ = 𝑦 𝑒π‘₯(π‘™π‘œπ‘”π‘₯ + 1 π‘₯ )=π‘₯𝑒π‘₯ 𝑒π‘₯(π‘™π‘œπ‘”π‘₯ + 1 π‘₯ )
  • 7. Find derivative of 𝑦 = π‘₯+8 3βˆ’π‘₯ 2 5 β€’ 𝑦 = 𝒙+πŸ– πŸ‘βˆ’π’™ 𝟐 πŸ“ β€’ Taking logarithm of both the side β€’ π’π’π’ˆπ’š = π’π’π’ˆ 𝒙+πŸ– πŸ‘βˆ’π’™ 𝟐 πŸ“ β€’ π’π’π’ˆπ’š = 𝟐 πŸ“ π’π’π’ˆ 𝒙+πŸ– πŸ‘βˆ’π’™ π’π’π’ˆπ’‚π’ = π’π’π’π’ˆπ’‚ β€’ π’…π’π’π’ˆπ’š 𝒅𝒙 = 𝟐 πŸ“ π₯𝐨𝐠 𝒙 + πŸ– βˆ’ π₯𝐨𝐠(πŸ‘ βˆ’ 𝒙) (π’π’π’ˆ 𝒂 𝒃 =π’π’π’ˆπ’‚ βˆ’ π’π’π’ˆπ’ƒ) β€’ 𝟏 π’š Γ— π’…π’š 𝒅𝒙 = 𝟐 πŸ“ 𝒅 𝒅𝒙 π’π’π’ˆ 𝒙 + πŸ– βˆ’ π’π’π’ˆ(πŸ‘ βˆ’ 𝒙) β€’ 𝟏 π’š Γ— π’…π’š 𝒅𝒙 = 𝟐 πŸ“ 𝒅 𝒅𝒙 π’π’π’ˆ 𝒙 + πŸ– βˆ’ 𝒅 𝒅𝒙 π’π’π’ˆ πŸ‘ βˆ’ 𝒙 β€’ 𝟏 π’š Γ— π’…π’š 𝒅𝒙 = 𝟐 πŸ“ 𝟏 (𝒙+πŸ–) 𝒅 𝒅𝒙 (𝒙 + πŸ–) βˆ’ 𝟏 (πŸ‘βˆ’π’™) 𝒅 𝒅𝒙 (πŸ‘ βˆ’ 𝒙) π’„π’‰π’‚π’Šπ’ 𝒓𝒖𝒍𝒆, π’…π’π’π’ˆπ’™ 𝒅𝒙 = 𝟏 𝒙 β€’ 𝟏 π’š Γ— π’…π’š 𝒅𝒙 = 𝟐 πŸ“ 𝟏 (𝒙+πŸ–) (𝟏) βˆ’ 𝟏 (πŸ‘βˆ’π’™) (βˆ’πŸ) β€’ 𝟏 π’š Γ— π’…π’š 𝒅𝒙 = 𝟐 πŸ“ 𝟏 𝒙+πŸ– + 𝟏 πŸ‘βˆ’π’™ β€’ 1 𝑦 Γ— 𝑑𝑦 𝑑π‘₯ = 2 5 3βˆ’π‘₯ +(π‘₯+8) (π‘₯+8)(3βˆ’π‘₯) β€’ = 2 5 3βˆ’π‘₯+π‘₯+8 (π‘₯+8)(3βˆ’π‘₯) β€’ = 2 5 11 (π‘₯+8)(3βˆ’π‘₯) β€’ 1 𝑦 Γ— 𝑑𝑦 𝑑π‘₯ = 22 5(π‘₯+8)(3βˆ’π‘₯) β€’ 𝑑𝑦 𝑑π‘₯ =𝑦 22 5(π‘₯+8)(3βˆ’π‘₯) β€’ 𝑑𝑦 𝑑π‘₯ = π‘₯+8 3βˆ’π‘₯ 2 5 22 5(π‘₯+8)(3βˆ’π‘₯)
  • 8. Find derivative of π‘₯𝑦 = 𝑦π‘₯ β€’ π‘₯𝑦 = 𝑦π‘₯ β€’ Taking logarithm of both the sides β€’ π‘™π‘œπ‘”π‘₯𝑦 = π‘™π‘œπ‘”π‘¦π‘₯ β€’ π‘¦π‘™π‘œπ‘”π‘₯ = π‘₯π‘™π‘œπ‘”π‘¦ β€’ 𝑑 𝑑π‘₯ π‘¦π‘™π‘œπ‘”π‘₯ = 𝑑 𝑑π‘₯ π‘₯π‘™π‘œπ‘”π‘¦ (applying law of multiplication ) β€’ π‘™π‘œπ‘”π‘₯ Γ— 𝑑𝑦 𝑑π‘₯ + 𝑦 𝑑 𝑑π‘₯ π‘™π‘œπ‘”π‘₯=π‘™π‘œπ‘”π‘¦ 𝑑 𝑑π‘₯ π‘₯ + π‘₯ 𝑑 𝑑π‘₯ π‘™π‘œπ‘”π‘¦ β€’ π‘™π‘œπ‘”π‘₯ Γ— 𝑑𝑦 𝑑π‘₯ + 𝑦 1 π‘₯ =π‘™π‘œπ‘”π‘¦ 1 + π‘₯ 1 𝑦 𝑑𝑦 𝑑π‘₯ β€’ π‘™π‘œπ‘”π‘₯ 𝑑𝑦 𝑑π‘₯ + 𝑦 π‘₯ = π‘™π‘œπ‘”π‘¦ + π‘₯ 𝑦 𝑑𝑦 𝑑π‘₯ β€’ π‘™π‘œπ‘”π‘₯ 𝑑𝑦 𝑑π‘₯ βˆ’ π‘₯ 𝑦 𝑑𝑦 𝑑π‘₯ =logy βˆ’ 𝑦 π‘₯ β€’ 𝑑𝑦 𝑑π‘₯ (π‘™π‘œπ‘”π‘₯ βˆ’ π‘₯ 𝑦 ) =logy βˆ’ 𝑦 π‘₯ β€’ 𝑑𝑦 𝑑π‘₯ π‘¦π‘™π‘œπ‘”π‘₯βˆ’π‘₯ 𝑦 = π‘₯π‘™π‘œπ‘”π‘¦βˆ’π‘¦ π‘₯ β€’ 𝑑𝑦 𝑑π‘₯ = 𝑦(π‘₯π‘™π‘œπ‘”π‘¦βˆ’π‘¦) π‘₯(π‘¦π‘™π‘œπ‘”π‘₯βˆ’π‘₯)
  • 9. Find derivative of 𝑦 = π‘₯ 3 2 1βˆ’4π‘₯ 7 5βˆ’π‘₯ 7 2 15βˆ’8π‘₯ 1 2 β€’ 𝑦 = π‘₯ 3 2 1βˆ’4π‘₯ 7 5βˆ’π‘₯ 7 2 15βˆ’8π‘₯ 1 2 β€’ Taking log of both the side β€’ π‘™π‘œπ‘”π‘¦ = π‘™π‘œπ‘” π‘₯ 3 2 1βˆ’4π‘₯ 7 5βˆ’π‘₯ 7 2 15βˆ’8π‘₯ 1 2 β€’ π‘™π‘œπ‘”π‘¦ = π‘™π‘œπ‘” π‘₯ 3 2 +π‘™π‘œπ‘” 1 βˆ’ 4π‘₯ 7 βˆ’ π‘™π‘œπ‘” 5 βˆ’ π‘₯ 7 2 + π‘™π‘œπ‘” 15 βˆ’ 8π‘₯ 1 2 β€’ π‘™π‘œπ‘”π‘¦ = 3 2 π‘™π‘œπ‘”π‘₯ + 7log(1 βˆ’ 4π‘₯) βˆ’ 7 2 log 5 βˆ’ π‘₯ + 1 2 log(15 βˆ’ 8π‘₯) β€’ 𝑑 𝑑π‘₯ π‘™π‘œπ‘”π‘¦ = 𝑑 𝑑π‘₯ 3 2 π‘™π‘œπ‘”π‘₯ + 7log(1 βˆ’ 4π‘₯) βˆ’ 7 2 log 5 βˆ’ π‘₯ + 1 2 log(15 βˆ’ 8π‘₯) β€’ 1 𝑦 𝑑𝑦 𝑑π‘₯ = 3 2 Γ— 1 π‘₯ + 7 1 1βˆ’4π‘₯ 𝑑(1βˆ’4π‘₯) 𝑑π‘₯ βˆ’ 7 2 1 (5βˆ’π‘₯) 𝑑(5βˆ’π‘₯) 𝑑π‘₯ + 1 2 1 (15βˆ’8π‘₯) 𝑑(15βˆ’8π‘₯) 𝑑π‘₯ β€’ 1 𝑦 𝑑𝑦 𝑑π‘₯ = 3 2π‘₯ + 7(βˆ’4) 1βˆ’4π‘₯ βˆ’ 7 2 5βˆ’π‘₯ (βˆ’1) + 1 2 15βˆ’8π‘₯ (βˆ’8) β€’ 𝑑𝑦 𝑑π‘₯ = π‘₯ 3 2 1βˆ’4π‘₯ 7 5βˆ’π‘₯ 7 2 15βˆ’8π‘₯ 1 2 3 2π‘₯ + (βˆ’28) 1βˆ’4π‘₯ βˆ’ βˆ’7 2 5βˆ’π‘₯ + βˆ’8 2 15βˆ’8π‘₯
  • 10. Derivative of parametric equations β€’ If y =f(t) and x=g(t) then 𝑑𝑦 𝑑π‘₯ = 𝑑𝑦 𝑑𝑑 𝑑π‘₯ 𝑑𝑑 here t is parameter and equations are known as parametric equations β€’ For e.g. x=π‘Žπ‘‘2 and y = 2π‘Žπ‘‘ β€’ Y=π‘₯π‘₯π‘₯π‘₯π‘₯βˆ’βˆ’βˆ’βˆ’βˆž β€’ Y=π‘™π‘œπ‘”π‘‘ + 1 π‘Žπ‘›π‘‘ π‘₯ = π‘‘π‘Žπ‘‘ β€’ Differentiate π‘₯2𝑒π‘₯ π‘€π‘–π‘‘β„Ž π‘Ÿπ‘’π‘π‘’π‘π‘‘ π‘‘π‘œ log π‘₯ β€’ Differentiate π‘₯π‘™π‘œπ‘”π‘₯ π‘€π‘–π‘‘β„Ž π‘Ÿπ‘’π‘ π‘π‘’π‘π‘‘ π‘‘π‘œ 3π‘₯π‘₯3 β€’ Y= π‘₯ + π‘₯ + π‘₯ + π‘₯ + β‹― … … … … … … … . . ∞
  • 11. Application of derivatives : β€’ Study of derivative is important in various fields like β€’ Economics β€’ Business β€’ Psychology β€’ Many problems of trade and commerce β€’ Maximization of profit and minimization of cost and loss . β€’ To obtain marginal cost and marginal revenue β€’ To obtain elasticity of demand and supply β€’ To obtain maximum and minimum value of any function and stationary values
  • 12. Homogeneous functions of two variables β€’ A function is called homogeneous if the degree of all the terms are equal then only it can be represent in the form of 𝒖 = 𝒙𝒏𝒇 π’š 𝒙 , or 𝒖 = π’šπ’π’‡ 𝒙 π’š β€’ A function u(x , y) is called homogeneous of degree n if u(x , y) is expressed in the form of β€’ 𝒖 = 𝒙𝒏𝒇 π’š 𝒙 , or 𝒖 = π’šπ’π’‡ 𝒙 π’š β€’ For example : 𝒙+π’š 𝒙+ π’š because it can be represented as 𝒖 = 𝒙 𝟏 𝟐 𝟏+ π’š 𝒙 𝟏+ π’š 𝒙 = 𝒙 𝟏 πŸπ’‡ π’š 𝒙 ‒𝒖 = 𝒙+π’š 𝒙+ π’š β€’ = 𝒙 (𝒙+π’š) 𝒙 𝒙 ( 𝒙+ π’š) 𝒙 β€’ = π‘₯ π‘₯ π‘₯ + 𝑦 π‘₯ π‘₯ π‘₯ π‘₯ + 𝑦 π‘₯ = π‘₯ 1+ 𝑦 π‘₯ π‘₯ 1 2 1+ 𝑦 π‘₯ β€’ =π‘₯1βˆ’ 1 2 1+ 𝑦 π‘₯ 1+ 𝑦 π‘₯ = π‘₯ 1 2 1+ 𝑦 π‘₯ 1+ 𝑦 π‘₯ =π‘₯ 1 2 𝑓 𝑦 π‘₯
  • 13. Euler’s theorem β€’ Homogeneity of degree one is often called linear homogeneity . β€’ linear homogeneous function U=x+2y β€’ An important property of homogeneous function is given by Euler's theorem. β€’ It is developed by swiss mathematician Leonhard Euler β€’ It is mathematical relationship that applies to homogeneous function. β€’ If production function is homogeneous and one degree one and factors of production are paid equal to marginal products (income =payment to factor (rent , wages, profit ,interest )total product is exhausted with no surplus(profit) and deficit(loss). β€’ With the help of this theorem we can determine ,labor , capital for maximum production
  • 14. Euler's theorem β€’ If function u(x , y) is homogeneous function of degree n then β€’ π‘₯ πœ•π‘’ πœ•π‘₯ + 𝑦 πœ•π‘’ πœ•π‘¦ = 𝑛𝑒 π‘Žπ‘›π‘‘ π‘₯2 πœ•2𝑦 πœ•π‘₯2 + 2π‘₯𝑦 πœ•π‘’ πœ•π‘₯πœ•π‘¦ + 𝑦2 πœ•2π‘₯ πœ•π‘¦2 = 𝑛 𝑛 βˆ’ 1 𝑒