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Differentiation Critical points MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of Trigonometric Functions Critical Points Dr. Sarah Mitchell Autumn 2014
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MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Mar 27, 2022

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Page 1: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

MA4001 Engineering Mathematics 1Lecture 14

Derivatives of Trigonometric FunctionsCritical Points

Dr. Sarah Mitchell

Autumn 2014

Page 2: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

An important limit

To calculate the limits of basic trigonometric functions we need

to know the limit limx→0

sin xx

.

From the graph it looks like the limit might be 1 (if the function iscontinuous).

Page 3: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

limx→0

sin xx

As the function is even the two one-sided limits must be the

same, so we just need to check limx→0+

sin xx

.

As x → 0 we can assume that 0 < x <π

2and think of x as an

angle in the first quadrant.

Page 4: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

In this graph the point P has coordinates cos x , sin x and T hascoordinates (1, tan x).The area of triangle OAP < the area of the sector OAP < thearea of the triangle OAT .

Page 5: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Using the formula that the area of a triangle is12× base ×

perpendicular height:

Area of triangle OAP =12× 1 × sin x .

Area of triangle OAT =12× 1 × tan x .

Also the area of a sector of a circle with angle θ is12θ× radius2.

(e.g., angle 2π, radius r , area=πr2)

Thus area of sector OAP is12× x × 12 =

x2

.

Page 6: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

We thus have the bounds:

12

sin x <x2<

12

tan x

Thus

1 <x

sin x<

1cos x

or, inverting this:

cos x <sin x

x< 1

Thus by the squeeze theorem, since

1 = limx→0

cos x 6 limx→0

sin xx

6 limx→0

1 = 1

we have limx→0

sin xx

= 1

Page 7: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Other limits

We can then obtain

limx→0

tan xx

= limx→0

sin xx cos x

= limx→0

sin xx

limx→0

1cos x

= 1

And also: limx→0

1 − cos xx2 = lim

x→0

2 sin2 x/2x2

Let t =x2

, so that x = 2t and limt→0

≡ limx→0

Page 8: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Thus

limx→0

1 − cos xx2 = lim

t→0

2 sin2 t(2t)2 =

12

limt→0

(

sin tt

)2

=12

(

limt→0

sin tt

)2

=12

Remark

These limits imply that for small values of x (in radians):

sin x ≈ x ; tan x ≈ x and1 − cos x

x2 ≈12

or cos ≈ 1 −x2

2

Page 9: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Derivative of sin x

ddx

sin x = limh→0

sin(x + h) − sin xh

Using the formula sin a − sin b = 2 sina − b

2· cos

a + b2

we thus

have

ddx

sin x = limh→0

2 sin h2 cos(x + h

2)

h

= limh/2→0

sin h2

h2

limh→0

cos(x +h2)

= 1 · cos x

= cos x

Page 10: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Graphs

Page 11: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Derivative of cos x

ddx

cos x =ddx

sin(π

2− x

)

=ddx

sin u where u =π

2− x

=ddu

sin u ·dudx

by the chain rule

= (cos u) · (−1)

= − cos(π

2− x

)

= − sin x

Page 12: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Graphs

Page 13: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

We can generalise these derivatives using the chain rule

ddx

f (kx + c) = f ′(kx + c) · k

and haveddx

sin(kx + c) = k cos(kx + c)

andddx

cos(kx + c) = −k sin(kx + c)

Page 14: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Derivative of tan x and cot x

ddx

tan x =ddx

sin xcos x

=(cos x)(sin x) ′ − (sin x)(cos x) ′

cos2 x

=(cos x)(cos x) − (sin x)(− sin x)

cos2 x

=cos2 x + sin2 x

cos2 x

=1

cos2 x= sec2 x

Similarly one can show thatddx

cot x = − csc2 x .

Page 15: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Derivative of sec x and csc x

ddx

sec x =ddx

1cos x

= −(cos x) ′

cos2 x(by the rule for reciprocals)

=sin x

cos2 x= (sec x)(tan x)

Similarly one can show thatddx

csc x = −(csc x)(cot x).

Page 16: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Summary

f (x) f ′(x)sin x cos x

cos x − sin x

tan x sec2 x

cot x − csc2 x

sec x (sec x)(tan x)

csc x −(csc x)(cot x)

Page 17: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Example:ddx

(

x2 sin√

x)

ddx

(

x2 sin√

x)

= (x2) ′ sin√

x + x2(sin√

x) ′ (by the product rule)

= 2x sin√

x + x2 cos√

xddx

√x (by the chain rule)

= 2x sin√

x + x2 cos√

x1

2√

x

= 2x sin√

x +12

x√

x cos√

x

Page 18: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Example

Find the tangent line to y = tanπx4

at the point (1,1).

If the slope of the tangent line is m then the equation of thetangent line is

y−y0 = m(x−x0) that is y−tanπ

4= m(x−1) i.e., y−1 = m(x−1)

The slope m is

ddx

tanπx4

x=1=

π

4sec2 πx

4

x=1=

π

4sec2 π

4=

π4

cos2 π4=

π

2

Thus the tangent line is

y − 1 =π

2(x − 1)

Page 19: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Critical points

Definition

A critical point of the function f (x) is a point where f ′(x) = 0.

Theorem

If f (x) is differentiable in (a,b) and achieves a maximum orminimum at c ∈ (a,b), then f ′(c) = 0, i.e., c is a critical point.

Page 20: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Proof.

If f (x) has a maximum at c then

f (x) − f (c) 6 0

for all x ∈ (a,b).

Thus f ′(c) = limh→0+

f (c + h) − f (c)h

6 0, since h > 0, and

f ′(c) = limh→0−

f (c + h) − f (c)h

> 0, since h 6 0.

Thus f ′(c) = 0. The case of a minimum is similar.

Remark

f ′(c) = 0 does not imply that there is a maximum or minimumat x = c.

Page 21: MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of ...

Differentiation Critical points

Example

y = x3 ⇒ y ′ = 3x2 = 0 at x = 0

Thus x = 0 is a critical point. But it is neither a maximum nor aminimum.