Nothing Special   »   [go: up one dir, main page]

M53 Lec2.3 Higher Order Derivatives Implicit Differentiation Linear Approximation

Download as pdf or txt
Download as pdf or txt
You are on page 1of 251

Higher Order Derivatives

Implicit Differentiation
Local Linear Approximation and Differentials

Mathematics 53

Institute of Mathematics (UP Diliman)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 1 / 35
For today

1 Higher Order Derivatives

2 Implicit Differentiation

3 Local Linear Approximation and Differentials

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 2 / 35
For today

1 Higher Order Derivatives

2 Implicit Differentiation

3 Local Linear Approximation and Differentials

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 3 / 35
Higher Order Derivatives

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 4 / 35
Higher Order Derivatives

If f 0 is differentiable,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 4 / 35
Higher Order Derivatives

If f 0 is differentiable, then the derivative of f 0 is called the second derivative of f


and is denoted f 00 .

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 4 / 35
Higher Order Derivatives

If f 0 is differentiable, then the derivative of f 0 is called the second derivative of f


and is denoted f 00 .

We can continue to obtain the third derivative, f 000 ,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 4 / 35
Higher Order Derivatives

If f 0 is differentiable, then the derivative of f 0 is called the second derivative of f


and is denoted f 00 .

We can continue to obtain the third derivative, f 000 , the fourth derivative, f (4) ,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 4 / 35
Higher Order Derivatives

If f 0 is differentiable, then the derivative of f 0 is called the second derivative of f


and is denoted f 00 .

We can continue to obtain the third derivative, f 000 , the fourth derivative, f (4) ,
and other higher derivatives.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 4 / 35
Higher Order Derivatives

If f 0 is differentiable, then the derivative of f 0 is called the second derivative of f


and is denoted f 00 .

We can continue to obtain the third derivative, f 000 , the fourth derivative, f (4) ,
and other higher derivatives.

Definition
The n-th derivative of the function f , denoted f (n) , is the derivative of the
(n − 1)-th derivative of f ,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 4 / 35
Higher Order Derivatives

If f 0 is differentiable, then the derivative of f 0 is called the second derivative of f


and is denoted f 00 .

We can continue to obtain the third derivative, f 000 , the fourth derivative, f (4) ,
and other higher derivatives.

Definition
The n-th derivative of the function f , denoted f (n) , is the derivative of the
(n − 1)-th derivative of f , that is,

f (n−1) ( x + ∆x ) − f (n−1) ( x )
f (n) ( x ) = lim
∆x →0 ∆x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 4 / 35
Higher Order Derivatives

Remarks

1 The n in f (n) is called the order of the derivative.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 5 / 35
Higher Order Derivatives

Remarks

1 The n in f (n) is called the order of the derivative.


2 The derivative of a function f is also called the first derivative of f .

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 5 / 35
Higher Order Derivatives

Remarks

1 The n in f (n) is called the order of the derivative.


2 The derivative of a function f is also called the first derivative of f .
3 The function f is sometimes written as f (0) ( x ).

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 5 / 35
Higher Order Derivatives

Remarks

1 The n in f (n) is called the order of the derivative.


2 The derivative of a function f is also called the first derivative of f .
3 The function f is sometimes written as f (0) ( x ).
4 Other notations:

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 5 / 35
Higher Order Derivatives

Remarks

1 The n in f (n) is called the order of the derivative.


2 The derivative of a function f is also called the first derivative of f .
3 The function f is sometimes written as f (0) ( x ).
4 Other notations: Dx n [ f ( x )] ,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 5 / 35
Higher Order Derivatives

Remarks

1 The n in f (n) is called the order of the derivative.


2 The derivative of a function f is also called the first derivative of f .
3 The function f is sometimes written as f (0) ( x ).
dn y
4 Other notations: Dx n [ f ( x )] , ,
dx n

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 5 / 35
Higher Order Derivatives

Remarks

1 The n in f (n) is called the order of the derivative.


2 The derivative of a function f is also called the first derivative of f .
3 The function f is sometimes written as f (0) ( x ).
dn y dn
4 Other notations: Dx n [ f ( x )] , n
, [ f ( x )] ,
dx dx n

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 5 / 35
Higher Order Derivatives

Remarks

1 The n in f (n) is called the order of the derivative.


2 The derivative of a function f is also called the first derivative of f .
3 The function f is sometimes written as f (0) ( x ).
dn y dn
4 Other notations: Dx n [ f ( x )] , n
, [ f ( x )] , y(n)
dx dx n

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 5 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Solution. We differentiate repeatedly and obtain

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Solution. We differentiate repeatedly and obtain

f 0 (x) = 6x5 − 4x3 − 9x2 + 4x,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Solution. We differentiate repeatedly and obtain

f 0 (x) = 6x5 − 4x3 − 9x2 + 4x,


f 00 ( x ) = 30x4 − 12x2 − 18x + 4,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Solution. We differentiate repeatedly and obtain

f 0 (x) = 6x5 − 4x3 − 9x2 + 4x,


f 00 ( x ) = 30x4 − 12x2 − 18x + 4,
f 000 ( x ) = 120x3 − 24x − 18,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Solution. We differentiate repeatedly and obtain

f 0 (x) = 6x5 − 4x3 − 9x2 + 4x,


f 00 ( x ) = 30x4 − 12x2 − 18x + 4,
f 000 ( x ) = 120x3 − 24x − 18,
f (4) ( x ) = 360x2 − 24,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Solution. We differentiate repeatedly and obtain

f 0 (x) = 6x5 − 4x3 − 9x2 + 4x,


f 00 ( x ) = 30x4 − 12x2 − 18x + 4,
f 000 ( x ) = 120x3 − 24x − 18,
f (4) ( x ) = 360x2 − 24,
f (5) ( x ) = 720x,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Solution. We differentiate repeatedly and obtain

f 0 (x) = 6x5 − 4x3 − 9x2 + 4x,


f 00 ( x ) = 30x4 − 12x2 − 18x + 4,
f 000 ( x ) = 120x3 − 24x − 18,
f (4) ( x ) = 360x2 − 24,
f (5) ( x ) = 720x,
f (6) ( x ) = 720,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example
Find f (n) ( x ) for all n ∈ N where f ( x ) = x6 − x4 − 3x3 + 2x2 − 4.

Solution. We differentiate repeatedly and obtain

f 0 (x) = 6x5 − 4x3 − 9x2 + 4x,


f 00 ( x ) = 30x4 − 12x2 − 18x + 4,
f 000 ( x ) = 120x3 − 24x − 18,
f (4) ( x ) = 360x2 − 24,
f (5) ( x ) = 720x,
f (6) ( x ) = 720,
(n)
f ( x ) = 0 for all n ≥ 7.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 6 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
f 0 (x)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1
f 0 (x) = (2x − 3)− 2 · (2)
2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2

f 00 ( x )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2
1 3
f 00 ( x ) = − (2x − 3)− 2 · (2)
2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2
1 3 3
f 00 ( x ) = − (2x − 3)− 2 · (2) = − (2x − 3)− 2
2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2
1 3 3
f 00 ( x ) = − (2x − 3)− 2 · (2) = − (2x − 3)− 2
2

f 000 ( x )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2
1 3 3
f 00 ( x ) = − (2x − 3)− 2 · (2) = − (2x − 3)− 2
2
3 5
f 000 ( x ) = (2x − 3)− 2 · (2)
2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2
1 3 3
f 00 ( x ) = − (2x − 3)− 2 · (2) = − (2x − 3)− 2
2
3 5 5
f 000 ( x ) = (2x − 3)− 2 · (2) = 3 (2x − 3)− 2
2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2
1 3 3
f 00 ( x ) = − (2x − 3)− 2 · (2) = − (2x − 3)− 2
2
3 5 5
f 000 ( x ) = (2x − 3)− 2 · (2) = 3 (2x − 3)− 2
2

f (4) ( x )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2
1 3 3
f 00 ( x ) = − (2x − 3)− 2 · (2) = − (2x − 3)− 2
2
3 5 5
f 000 ( x ) = (2x − 3)− 2 · (2) = 3 (2x − 3)− 2
2
15 7
f (4) ( x ) = − (2x − 3)− 2 · (2)
2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
Higher Order Derivatives

Example

Find f (4) ( x ) if f ( x ) = 2x − 3.

Solution.
1 1 1
f 0 (x) = (2x − 3)− 2 · (2) = (2x − 3)− 2
2
1 3 3
f 00 ( x ) = − (2x − 3)− 2 · (2) = − (2x − 3)− 2
2
3 5 5
f 000 ( x ) = (2x − 3)− 2 · (2) = 3 (2x − 3)− 2
2
15 7 7
f (4) ( x ) = − (2x − 3)− 2 · (2) = −15 (2x − 3)− 2
2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 7 / 35
For today

1 Higher Order Derivatives

2 Implicit Differentiation

3 Local Linear Approximation and Differentials

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 8 / 35
Equations in two variables are used to define a function explicitly or implicitly.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 9 / 35
Equations in two variables are used to define a function explicitly or implicitly.

• y = x2 − 1

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 9 / 35
Equations in two variables are used to define a function explicitly or implicitly.

• y = x2 − 1 defines f ( x ) = x2 − 1 (explicitly).

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 9 / 35
Equations in two variables are used to define a function explicitly or implicitly.

• y = x2 − 1 defines f ( x ) = x2 − 1 (explicitly).

• y2 = x + 1

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 9 / 35
Equations in two variables are used to define a function explicitly or implicitly.

• y = x2 − 1 defines f ( x ) = x2 − 1 (explicitly).

• y2 = x + 1 defines two functions of x: (implicitly)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 9 / 35
Equations in two variables are used to define a function explicitly or implicitly.

• y = x2 − 1 defines f ( x ) = x2 − 1 (explicitly).

• y2 = x + 1 defines two functions of x: (implicitly)



f1 (x) = x + 1

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 9 / 35
Equations in two variables are used to define a function explicitly or implicitly.

• y = x2 − 1 defines f ( x ) = x2 − 1 (explicitly).

• y2 = x + 1 defines two functions of x: (implicitly)



f1 (x) = x + 1

f 2 ( x ) = − x + 1.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 9 / 35
dy
Consider: If x3 − 2xy − 3y − 6 = 0, how do we find ?
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 10 / 35
dy
Consider: If x3 − 2xy − 3y − 6 = 0, how do we find ?
dx

Solution
From x3 − 2xy − 3y − 6 = 0, we can define y explicitly in terms of x as

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 10 / 35
dy
Consider: If x3 − 2xy − 3y − 6 = 0, how do we find ?
dx

Solution
From x3 − 2xy − 3y − 6 = 0, we can define y explicitly in terms of x as

x3 − 6
y= .
2x + 3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 10 / 35
dy
Consider: If x3 − 2xy − 3y − 6 = 0, how do we find ?
dx

Solution
From x3 − 2xy − 3y − 6 = 0, we can define y explicitly in terms of x as

x3 − 6
y= .
2x + 3

dy
Thus,
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 10 / 35
dy
Consider: If x3 − 2xy − 3y − 6 = 0, how do we find ?
dx

Solution
From x3 − 2xy − 3y − 6 = 0, we can define y explicitly in terms of x as

x3 − 6
y= .
2x + 3

dy (2x + 3)(3x2 ) − ( x3 − 6)(2)


Thus, =
dx (2x + 3)2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 10 / 35
dy
Consider: If x3 − 2xy − 3y − 6 = 0, how do we find ?
dx

Solution
From x3 − 2xy − 3y − 6 = 0, we can define y explicitly in terms of x as

x3 − 6
y= .
2x + 3

dy (2x + 3)(3x2 ) − ( x3 − 6)(2) 4x3 + 9x2 + 12


Thus, = = .
dx (2x + 3)2 (2x + 3)2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 10 / 35
Implicit Differentiation

Question: Suppose we have x4 y3 − 7xy = 7 or tan( x2 − 2xy) = y.


dy
How do we find ?
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 11 / 35
Implicit Differentiation

Question: Suppose we have x4 y3 − 7xy = 7 or tan( x2 − 2xy) = y.


dy
How do we find ?
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 11 / 35
Implicit Differentiation

dy
To find using implicit differentiation, we
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 12 / 35
Implicit Differentiation

dy
To find using implicit differentiation, we
dx
1 think of the variable y as a differentiable function of the variable x,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 12 / 35
Implicit Differentiation

dy
To find using implicit differentiation, we
dx
1 think of the variable y as a differentiable function of the variable x,

2 differentiate both sides of the equation, using the chain rule where necessary,
and

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 12 / 35
Implicit Differentiation

dy
To find using implicit differentiation, we
dx
1 think of the variable y as a differentiable function of the variable x,

2 differentiate both sides of the equation, using the chain rule where necessary,
and
dy
3 solve for .
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 12 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]

3x2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]

3x2 − 2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]

3x2 − 2 1

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]

3x2 − 2 1 · y

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]

3x2 − 2 1 · y + x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]
 dy 
3x2 − 2 1 · y + x ·
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]
 dy 
3x2 − 2 1 · y + x · −3
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]
 dy  dy
3x2 − 2 1 · y + x · −3·
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]
 dy  dy
3x2 − 2 1 · y + x · −3· −0
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]
 dy  dy
3x2 − 2 1 · y + x · −3· −0 = 0
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]
 dy  dy
3x2 − 2 1 · y + x · −3· −0 = 0
dx dx
dy dy
3x2 − 2y − 2x · −3· = 0
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]
 dy  dy
3x2 − 2 1 · y + x · −3· −0 = 0
dx dx
dy dy
3x2 − 2y − 2x · −3· = 0
dx dx
dy dy
2x · +3· = 3x2 − 2y
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

Example
dy
Find if x3 − 2xy − 3y − 6 = 0.
dx

Solution.

Dx [ x3 − 2xy − 3y − 6] = D x [0]
3
Dx [ x ] − Dx [2xy] − Dx [3y] − Dx [6] = D x [0]
 dy  dy
3x2 − 2 1 · y + x · −3· −0 = 0
dx dx
dy dy
3x2 − 2y − 2x · −3· = 0
dx dx
dy dy
2x · +3· = 3x2 − 2y
dx dx
dy
(2x + 3) = 3x2 − 2y
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 13 / 35
Implicit Differentiation

dy 3x2 − 2y
=
dx 2x + 3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 14 / 35
Implicit Differentiation

dy 3x2 − 2y
=
dx 2x + 3
x −6 3
3x2 − 2 · 2x +3
=
2x + 3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 14 / 35
Implicit Differentiation

dy 3x2 − 2y
=
dx 2x + 3
x −6 3
3x2 − 2 · 2x +3
=
2x + 3
3x2 · (2x + 3) − 2( x3 − 6)
=
(2x + 3)2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 14 / 35
Implicit Differentiation

dy 3x2 − 2y
=
dx 2x + 3
x −6 3
3x2 − 2 · 2x +3
=
2x + 3
3x2 · (2x + 3) − 2( x3 − 6)
=
(2x + 3)2
4x3 + 9x2 + 12
= .
(2x + 3)2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 14 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]

4x3 y3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]

4x3 y3 + 3x4 y2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]
dy
4x3 y3 + 3x4 y2 ·
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]
dy
4x3 y3 + 3x4 y2 · −7
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]
dy 
4x3 y3 + 3x4 y2 · −7 y
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]
dy 
4x3 y3 + 3x4 y2 · −7 y+x
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]
dy  dy 
4x3 y3 + 3x4 y2 · −7 y+x·
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]
dy  dy 
4x3 y3 + 3x4 y2 · −7 y+x· = 0
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if x4 y3 − 7xy = 7.
dx

Solution.

Dx [ x4 y3 − 7xy] = D x [7]
dy  dy 
4x3 y3 + 3x4 y2 · −7 y+x· = 0
dx dx
dy −4x3 y3 + 7y
= .
dx 3x4 y2 − 7x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 15 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]

sec2 ( x2 − 2xy)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]


h
sec2 ( x2 − 2xy) · 2x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]


h
sec2 ( x2 − 2xy) · 2x − 2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]


h 
sec2 ( x2 − 2xy) · 2x − 2 y

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]


h 
sec2 ( x2 − 2xy) · 2x − 2 y + x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]


h  dy i
sec2 ( x2 − 2xy) · 2x − 2 y + x ·
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]


h  dy i dy
sec2 ( x2 − 2xy) · 2x − 2 y + x · =
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Implicit Differentiation

Example
dy
Find if tan( x2 − 2xy) = y.
dx

Solution.

Dx [tan( x2 − 2xy)] = Dx [y]


h  dy i dy
sec2 ( x2 − 2xy) · 2x − 2 y + x · =
dx dx
Thus,

dy 2x sec2 ( x2 − 2xy) − 2y sec2 ( x2 − 2xy)


= .
dx 1 + 2x sec2 ( x2 − 2xy)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 16 / 35
Higher Order Derivatives

Example
d2 y
Determine if xy2 = y − 2.
dx2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 17 / 35
Higher Order Derivatives

Example
d2 y
Determine if xy2 = y − 2.
dx2

Solution.

Dx [ xy2 ] = D x [ y − 2]

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 17 / 35
Higher Order Derivatives

Example
d2 y
Determine if xy2 = y − 2.
dx2

Solution.

Dx [ xy2 ] = D x [ y − 2]

y2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 17 / 35
Higher Order Derivatives

Example
d2 y
Determine if xy2 = y − 2.
dx2

Solution.

Dx [ xy2 ] = D x [ y − 2]

y2 + x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 17 / 35
Higher Order Derivatives

Example
d2 y
Determine if xy2 = y − 2.
dx2

Solution.

Dx [ xy2 ] = D x [ y − 2]

y2 + x · 2y

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 17 / 35
Higher Order Derivatives

Example
d2 y
Determine if xy2 = y − 2.
dx2

Solution.

Dx [ xy2 ] = D x [ y − 2]
dy
y2 + x · 2y
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 17 / 35
Higher Order Derivatives

Example
d2 y
Determine if xy2 = y − 2.
dx2

Solution.

Dx [ xy2 ] = D x [ y − 2]
dy dy
y2 + x · 2y =
dx dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 17 / 35
Higher Order Derivatives

Example
d2 y
Determine if xy2 = y − 2.
dx2

Solution.

Dx [ xy2 ] = D x [ y − 2]
dy dy
y2 + x · 2y =
dx dx
dy y2
=
dx 1 − 2xy

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 17 / 35
dy y2
We have = .
dx 1 − 2xy

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
dy y2
We have = .
dx 1 − 2xy

d2 y
=⇒
dx2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
dy y2
We have = .
dx 1 − 2xy

d2 y
=⇒ =
dx2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
dy y2
We have = .
dx 1 − 2xy

d2 y (1 − 2xy)
=⇒ =
dx2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
dy y2
We have = .
dx 1 − 2xy
dy
d2 y (1 − 2xy)(2y dx )
=⇒ =
dx2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
dy y2
We have = .
dx 1 − 2xy
dy
d2 y (1 − 2xy)(2y dx ) − ( y2 )
=⇒ =
dx2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
dy y2
We have = .
dx 1 − 2xy
dy dy
d2 y (1 − 2xy)(2y dx ) − (y2 )[−2(y + x dx )]
=⇒ =
dx2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
dy y2
We have = .
dx 1 − 2xy
dy dy
d2 y (1 − 2xy)(2y dx ) − (y2 )[−2(y + x dx )]
=⇒ =
dx2 (1 − 2xy)2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
dy y2
We have = .
dx 1 − 2xy
dy dy
d2 y (1 − 2xy)(2y dx ) − (y2 )[−2(y + x dx )]
=⇒ =
dx2 (1 − 2xy)2
2 y2
h i h  i
(1 − 2xy) 2y · 1−y2xy − (y2 ) −2 y + x · 1−2xy
= .
(1 − 2xy)2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 18 / 35
For today

1 Higher Order Derivatives

2 Implicit Differentiation

3 Local Linear Approximation and Differentials

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 19 / 35
Local Linear Approximation and Differentials

3
Suppose we are asked to find 8.03.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 20 / 35
Local Linear Approximation and Differentials

3
Suppose we are asked to find 8.03. Most (if not all) of us cannot give an
accurate decimal expansion of this.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 20 / 35
Local Linear Approximation and Differentials

3
Suppose we are asked to find 8.03. Most (if not all) of us cannot give an
accurate decimal expansion of this. We will give an estimate using the fact that a
tangent line to a curve at a point P approximates the curve near P. That is, R
approximates Q when x is near x0 .

Q
R

f (x)

P
f ( x0 )
S
| {z }
dx =∆x

x0 x = x0 + dx
y = f (x)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 20 / 35
Local Linear Approximation and Differentials

Recall:
f ( x ) − f ( x0 )
f 0 ( x0 ) = lim
x → x0 x − x0

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 21 / 35
Local Linear Approximation and Differentials

Recall:
f ( x ) − f ( x0 )
f 0 ( x0 ) = lim
x → x0 x − x0
∆y
= lim ,
∆x →0 ∆x

where ∆x = f ( x ) − f ( x0 ) and ∆x = x − x0 .

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 21 / 35
Local Linear Approximation and Differentials

Recall:
f ( x ) − f ( x0 )
f 0 ( x0 ) = lim
x → x0 x − x0
∆y
= lim ,
∆x →0 ∆x

where ∆x = f ( x ) − f ( x0 ) and ∆x = x − x0 .

If ∆x is small enough,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 21 / 35
Local Linear Approximation and Differentials

Recall:
f ( x ) − f ( x0 )
f 0 ( x0 ) = lim
x → x0 x − x0
∆y
= lim ,
∆x →0 ∆x

where ∆x = f ( x ) − f ( x0 ) and ∆x = x − x0 .

If ∆x is small enough, then

∆y
≈ f 0 ( x0 )
∆x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 21 / 35
Local Linear Approximation and Differentials

Recall:
f ( x ) − f ( x0 )
f 0 ( x0 ) = lim
x → x0 x − x0
∆y
= lim ,
∆x →0 ∆x

where ∆x = f ( x ) − f ( x0 ) and ∆x = x − x0 .

If ∆x is small enough, then

∆y
≈ f 0 ( x0 ) =⇒ ∆y ≈ f 0 ( x0 )∆x
∆x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 21 / 35
Local Linear Approximation and Differentials

Recall:
f ( x ) − f ( x0 )
f 0 ( x0 ) = lim
x → x0 x − x0
∆y
= lim ,
∆x →0 ∆x

where ∆x = f ( x ) − f ( x0 ) and ∆x = x − x0 .

If ∆x is small enough, then

∆y
≈ f 0 ( x0 ) =⇒ ∆y ≈ f 0 ( x0 )∆x
∆x

The expression on the right, which approximates the change in y due to a change
in x, is called a differential.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 21 / 35
Local Linear Approximation and Differentials

Definitions
Let the function y = f ( x ) be differentiable at x.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 22 / 35
Local Linear Approximation and Differentials

Definitions
Let the function y = f ( x ) be differentiable at x.
1 The differential dx of the independent variable x denotes an arbitrary
increment of x.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 22 / 35
Local Linear Approximation and Differentials

Definitions
Let the function y = f ( x ) be differentiable at x.
1 The differential dx of the independent variable x denotes an arbitrary
increment of x.

2 The differential dy of the dependent variable y associated with x is given


by dy = f 0 ( x )dx.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 22 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y = x5 − x3 + 2x.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 23 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y = x5 − x3 + 2x.

Solution.

dy

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 23 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y = x5 − x3 + 2x.

Solution.

dy = (5x4 − 3x2 + 2)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 23 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y = x5 − x3 + 2x.

Solution.

dy = (5x4 − 3x2 + 2) dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 23 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y= x3 + 3x2 .

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 24 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y= x3 + 3x2 .

Solution.

dy

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 24 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y= x3 + 3x2 .

Solution.
1
dy = √
2 x + 3x2
3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 24 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y= x3 + 3x2 .

Solution.
1
dy = √ · (3x2 + 6x )
2 x + 3x2
3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 24 / 35
Local Linear Approximation and Differentials

Example
Find dy if

y= x3 + 3x2 .

Solution.
1
dy = √ · (3x2 + 6x ) dx
2 x + 3x2
3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 24 / 35
Local Linear Approximation and Differentials

Let dx = ∆x = x − x0 , ∆y = f ( x ) − f ( x0 ).
If dx ≈ 0

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 25 / 35
Local Linear Approximation and Differentials

Let dx = ∆x = x − x0 , ∆y = f ( x ) − f ( x0 ).
If dx ≈ 0

=⇒ ∆y ≈ f 0 ( x0 )dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 25 / 35
Local Linear Approximation and Differentials

Let dx = ∆x = x − x0 , ∆y = f ( x ) − f ( x0 ).
If dx ≈ 0

=⇒ ∆y ≈ f 0 ( x0 )dx = dy
=⇒ f ( x ) ≈ f ( x0 ) + f 0 ( x0 )( x − x0 )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 25 / 35
Local Linear Approximation and Differentials

Let dx = ∆x = x − x0 , ∆y = f ( x ) − f ( x0 ).
If dx ≈ 0

=⇒ ∆y ≈ f 0 ( x0 )dx = dy
=⇒ f ( x ) ≈ f ( x0 ) + f 0 ( x0 )( x − x0 )

Equation of the tangent line to the graph of y = f ( x ) at the point ( x0 , f ( x0 )):

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 25 / 35
Local Linear Approximation and Differentials

Let dx = ∆x = x − x0 , ∆y = f ( x ) − f ( x0 ).
If dx ≈ 0

=⇒ ∆y ≈ f 0 ( x0 )dx = dy
=⇒ f ( x ) ≈ f ( x0 ) + f 0 ( x0 )( x − x0 )

Equation of the tangent line to the graph of y = f ( x ) at the point ( x0 , f ( x0 )):

y − f ( x0 ) = f 0 ( x0 )( x − x0 )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 25 / 35
Local Linear Approximation and Differentials

Let dx = ∆x = x − x0 , ∆y = f ( x ) − f ( x0 ).
If dx ≈ 0

=⇒ ∆y ≈ f 0 ( x0 )dx = dy
=⇒ f ( x ) ≈ f ( x0 ) + f 0 ( x0 )( x − x0 )

Equation of the tangent line to the graph of y = f ( x ) at the point ( x0 , f ( x0 )):

y − f ( x0 ) = f 0 ( x0 )( x − x0 )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 25 / 35
Local Linear Approximation and Differentials

Let dx = ∆x = x − x0 , ∆y = f ( x ) − f ( x0 ).
If dx ≈ 0

=⇒ ∆y ≈ f 0 ( x0 )dx = dy
=⇒ f ( x ) ≈ f ( x0 ) + f 0 ( x0 )( x − x0 )

Equation of the tangent line to the graph of y = f ( x ) at the point ( x0 , f ( x0 )):

y − f ( x0 ) = f 0 ( x0 )( x − x0 )
∴ y = f ( x0 ) + f 0 ( x0 )( x − x0 )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 25 / 35
Local Linear Approximation and Differentials

Let dx = ∆x = x − x0 , ∆y = f ( x ) − f ( x0 ).
If dx ≈ 0

=⇒ ∆y ≈ f 0 ( x0 )dx = dy
=⇒ f ( x ) ≈ f ( x0 ) + f 0 ( x0 )( x − x0 )

Equation of the tangent line to the graph of y = f ( x ) at the point ( x0 , f ( x0 )):

y − f ( x0 ) = f 0 ( x0 )( x − x0 )
∴ y = f ( x0 ) + f 0 ( x0 )( x − x0 )

Thus, when dx ≈ 0, or x ≈ x0 , f ( x ) is approximated by the tangent line to f at x0 .

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 25 / 35
Local Linear Approximation and Differentials

y = f (x)
`
f (x)
f ( x0 ) + f 0 ( x0 )( x − x0 )

x0 x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 26 / 35
Local Linear Approximation and Differentials

Remarks

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 27 / 35
Local Linear Approximation and Differentials

Remarks

The tangent line L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 ) is also called the local


linear approximation of f ( x ) at x0 .

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 27 / 35
Local Linear Approximation and Differentials

Remarks

The tangent line L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 ) is also called the local


linear approximation of f ( x ) at x0 .
The local linear approximation is the “best” linear approximation of f near x0 .

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 27 / 35
Local Linear Approximation and Differentials

Remarks

The tangent line L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 ) is also called the local


linear approximation of f ( x ) at x0 .
The local linear approximation is the “best” linear approximation of f near x0 .

If dx = ∆x = x − x0 ,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 27 / 35
Local Linear Approximation and Differentials

Remarks

The tangent line L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 ) is also called the local


linear approximation of f ( x ) at x0 .
The local linear approximation is the “best” linear approximation of f near x0 .

If dx = ∆x = x − x0 , then x = x0 + dx.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 27 / 35
Local Linear Approximation and Differentials

Remarks

The tangent line L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 ) is also called the local


linear approximation of f ( x ) at x0 .
The local linear approximation is the “best” linear approximation of f near x0 .

If dx = ∆x = x − x0 , then x = x0 + dx.
Since f ( x ) ≈ f ( x0 ) + f 0 ( x0 )( x − x0 ), we have

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 27 / 35
Local Linear Approximation and Differentials

Remarks

The tangent line L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 ) is also called the local


linear approximation of f ( x ) at x0 .
The local linear approximation is the “best” linear approximation of f near x0 .

If dx = ∆x = x − x0 , then x = x0 + dx.
Since f ( x ) ≈ f ( x0 ) + f 0 ( x0 )( x − x0 ), we have

f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 27 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

dy is easier to compute than ∆y

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

dy is easier to compute than ∆y

∴ dy is used to approximate ∆y when dx ≈ 0

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

dy is easier to compute than ∆y

∴ dy is used to approximate ∆y when dx ≈ 0


If dx 6= 0,

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

dy is easier to compute than ∆y

∴ dy is used to approximate ∆y when dx ≈ 0


If dx 6= 0, then

dy = f 0 ( x )dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

dy is easier to compute than ∆y

∴ dy is used to approximate ∆y when dx ≈ 0


If dx 6= 0, then
dy
dy = f 0 ( x )dx =⇒ = f 0 ( x ).
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

dy is easier to compute than ∆y

∴ dy is used to approximate ∆y when dx ≈ 0


If dx 6= 0, then
dy
dy = f 0 ( x )dx =⇒ = f 0 ( x ).
dx
dy
The symbol may be interpreted as:
dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

dy is easier to compute than ∆y

∴ dy is used to approximate ∆y when dx ≈ 0


If dx 6= 0, then
dy
dy = f 0 ( x )dx =⇒ = f 0 ( x ).
dx
dy
The symbol may be interpreted as:
dx
the derivative of y = f ( x ) with respect to x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Remarks

dx = ∆x ≈ 0 =⇒ ∆y ≈ dy

dy is easier to compute than ∆y

∴ dy is used to approximate ∆y when dx ≈ 0


If dx 6= 0, then
dy
dy = f 0 ( x )dx =⇒ = f 0 ( x ).
dx
dy
The symbol may be interpreted as:
dx
the derivative of y = f ( x ) with respect to x

the quotient of the differential of y by the differential of x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 28 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
L( x )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
L ( x ) = f (8)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
L ( x ) = f (8) + f 0 (8)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
L( x ) = f (8) + f 0 (8)( x − 8)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
L( x ) = f (8) + f 0 (8)( x − 8) = 2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
1
L( x ) = f (8) + f 0 (8)( x − 8) = 2 +
12

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
1
L( x ) = f (8) + f 0 (8)( x − 8) = 2 + ( x − 8).
12

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
1
L( x ) = f (8) + f 0 (8)( x − 8) = 2 + ( x − 8).
12


3
Thus, 8.03

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
1
L( x ) = f (8) + f 0 (8)( x − 8) = 2 + ( x − 8).
12


3
Thus, 8.03 = f (8.03)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
1
L( x ) = f (8) + f 0 (8)( x − 8) = 2 + ( x − 8).
12


3 1
Thus, 8.03 = f (8.03) ≈ L(8.03) = 2 + (8.03 − 8)
12

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Find the local linear approximation of f ( x ) = x at x0 = 8 and use this to

3
estimate 8.03.

Solution.
1
We have f 0 ( x ) = √
3
.
3 x2
L( x ) = f ( x0 ) + f 0 ( x0 )( x − x0 )

∴ At x0 = 8:
1
L( x ) = f (8) + f 0 (8)( x − 8) = 2 + ( x − 8).
12


3 1
Thus, 8.03 = f (8.03) ≈ L(8.03) = 2 + (8.03 − 8) = 2.0025.
12

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 29 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.

3
Let f ( x ) = x.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x
f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x
f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Thus,

3
27.027

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x
f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Thus,

3
27.027 = f (27 + 0.027)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x
f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Thus,

3
27.027 = f (27 + 0.027)
≈ f (27) + f 0 (27) · (0.027)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x
f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Thus,

3
27.027 = f (27 + 0.027)
≈ f (27) + f 0 (27) · (0.027)

= 3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x
f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Thus,

3
27.027 = f (27 + 0.027)
≈ f (27) + f 0 (27) · (0.027)
1
= 3+
3·9

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x
f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Thus,

3
27.027 = f (27 + 0.027)
≈ f (27) + f 0 (27) · (0.027)
1
= 3+ · (0.027)
3·9

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

3
Approximate 27.027.

Solution.
√ 1
Let f ( x ) = 3
x. Then f 0 ( x ) = √
3 2
.
3 x
f ( x0 + dx ) ≈ f ( x0 ) + f 0 ( x0 )dx

Thus,

3
27.027 = f (27 + 0.027)
≈ f (27) + f 0 (27) · (0.027)
1
= 3+ · (0.027)
3·9
= 3.01.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 30 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.

Let f ( x ) = x.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x
Thus,

15.96

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x
Thus,

15.96 = f (16 − 0.04)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x
Thus,

15.96 = f (16 − 0.04)
≈ f (16) + f 0 (16) · (−0.04)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x
Thus,

15.96 = f (16 − 0.04)
≈ f (16) + f 0 (16) · (−0.04)

= 4

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x
Thus,

15.96 = f (16 − 0.04)
≈ f (16) + f 0 (16) · (−0.04)
1
= 4+
2·4

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x
Thus,

15.96 = f (16 − 0.04)
≈ f (16) + f 0 (16) · (−0.04)
1
= 4+ · (−0.04)
2·4

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x
Thus,

15.96 = f (16 − 0.04)
≈ f (16) + f 0 (16) · (−0.04)
1
= 4+ · (−0.04)
2·4
= 4 − 0.005

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example

Approximate 15.96.

Solution.
√ 1
Let f ( x ) = x. Then f 0 ( x ) = √ .
2 x
Thus,

15.96 = f (16 − 0.04)
≈ f (16) + f 0 (16) · (−0.04)
1
= 4+ · (−0.04)
2·4
= 4 − 0.005
= 3.995.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 31 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
Volume of a sphere with radius r:

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr
3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV
3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3
Volume of rubber material

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3
1
Volume of rubber material = V (5 + 16 ) − V (5)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3
1
Volume of rubber material = V (5 + 16 ) − V (5)
= ∆V

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3
1
Volume of rubber material = V (5 + 16 ) − V (5)
= ∆V r = 5, dr = 1
16

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3
1
Volume of rubber material = V (5 + 16 ) − V (5)
= ∆V r = 5, dr = 1
16
≈ dV

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3
1
Volume of rubber material = V (5 + 16 ) − V (5)
= ∆V r = 5, dr = 1
16
≈ dV
= 4πr2 dr

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3
1
Volume of rubber material = V (5 + 16 ) − V (5)
= ∆V r = 5, dr = 1
16
≈ dV
= 4πr2 dr
1
= 4π (5)2 · ( 16 )

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
1
A ball 10 inches in diameter is to be covered by a rubber material which is 16 in
thick. Use differentials to estimate the volume of the rubber material that will be
used.

Solution.
4 3
Volume of a sphere with radius r: V (r ) = πr =⇒ dV = 4πr2 dr
3
1
Volume of rubber material = V (5 + 16 ) − V (5)
= ∆V r = 5, dr = 1
16
≈ dV
= 4πr2 dr
1
= 4π (5)2 · ( 16 )
25π
= 4 in3

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 32 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod:

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV = 30πr dr

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV = 30πr dr

Volume of the insulation

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV = 30πr dr

Volume of the insulation = V (4 + 0.001) − V (4)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV = 30πr dr

Volume of the insulation = V (4 + 0.001) − V (4)


= ∆V

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV = 30πr dr

Volume of the insulation = V (4 + 0.001) − V (4)


= ∆V r = 4, dr = 0.001

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV = 30πr dr

Volume of the insulation = V (4 + 0.001) − V (4)


= ∆V r = 4, dr = 0.001
≈ dV

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV = 30πr dr

Volume of the insulation = V (4 + 0.001) − V (4)


= ∆V r = 4, dr = 0.001
≈ dV
= 30π (4) · (0.001)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
A metal rod 15 cm long and 8 cm in diameter is to be insulated, except for the
ends, with a material 0.001 cm thick. Use differentials to estimate the volume of
the insulation.

Solution.
Volume of the rod: V = πr2 h = 15πr2 =⇒ dV = 30πr dr

Volume of the insulation = V (4 + 0.001) − V (4)


= ∆V r = 4, dr = 0.001
≈ dV
= 30π (4) · (0.001)
= 0.12π cm3 .

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 33 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x:

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1
Measurement error of at most ± 64

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A
We are computing error from A(8), so we take x = 8.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A
We are computing error from A(8), so we take x = 8.

|∆A|

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A
We are computing error from A(8), so we take x = 8.

|∆A| ≈ |dA|

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A
We are computing error from A(8), so we take x = 8.

|∆A| ≈ |dA| = |2x | · |dx |

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A
We are computing error from A(8), so we take x = 8.

|∆A| ≈ |dA| = |2x | · |dx | = 2(8)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A
We are computing error from A(8), so we take x = 8.

|∆A| ≈ |dA| = |2x | · |dx | = 2(8)( 64


1
)

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A
We are computing error from A(8), so we take x = 8.

|∆A| ≈ |dA| = |2x | · |dx | = 2(8)( 64


1
)= 1
4

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Local Linear Approximation and Differentials

Example
Suppose that the side of a square is measured with a ruler to be 8 inches with a
1
measurement error of at most ± 64 of an inch. Estimate the error in the computed
area of the square.

Solution.
Area of square with side x: A( x ) = x2 =⇒ dA = 2x dx
1 1
Measurement error of at most ± 64 =⇒ |dx | = 64
Error in the computed area = ∆A
We are computing error from A(8), so we take x = 8.

|∆A| ≈ |dA| = |2x | · |dx | = 2(8)( 64


1
)= 1
4

∴ The propagated error in the computed area is at most ± 41 of a square inch.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 34 / 35
Exercises

1 Determine Dx4 [ cos(4x ) ].

dy
2 Find if
dx
sin( x + y) = xy2 − 2x3 .


4
3 Approximate 16.08.

Institute of Mathematics (UP Diliman) Higher Order, Implicit Differentiation, Differentials Mathematics 53 35 / 35

You might also like