+ All Categories
Home > Documents > MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra...

MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra...

Date post: 02-Dec-2020
Category:
Upload: others
View: 2 times
Download: 0 times
Share this document with a friend
24
MA 137: Calculus I for the Life Sciences David Murrugarra Department of Mathematics, University of Kentucky http://www.ms.uky.edu/~ma137/ Spring 2017 David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 1 / 12
Transcript
Page 1: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

MA 137: Calculus I for the Life Sciences

David Murrugarra

Department of Mathematics,University of Kentucky

http://www.ms.uky.edu/~ma137/

Spring 2017

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 1 / 12

Page 2: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 3.4: Trigonometric Limits

The following two trigonometric limits are important for developing thedifferential calculus for trigonometric functions:

Rule

limx→0

sin xx

= 1 and limx→0

1− cos xx

= 0.

Note that the angle x is measured in radians.The proof of the first statement uses a nice geometric argumentand the sandwich theorem.The second statement follows from the first.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12

Page 3: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 3.4: Trigonometric Limits

The following two trigonometric limits are important for developing thedifferential calculus for trigonometric functions:

Rule

limx→0

sin xx

= 1 and limx→0

1− cos xx

= 0.

Note that the angle x is measured in radians.

The proof of the first statement uses a nice geometric argumentand the sandwich theorem.The second statement follows from the first.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12

Page 4: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 3.4: Trigonometric Limits

The following two trigonometric limits are important for developing thedifferential calculus for trigonometric functions:

Rule

limx→0

sin xx

= 1 and limx→0

1− cos xx

= 0.

Note that the angle x is measured in radians.The proof of the first statement uses a nice geometric argumentand the sandwich theorem.

The second statement follows from the first.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12

Page 5: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 3.4: Trigonometric Limits

The following two trigonometric limits are important for developing thedifferential calculus for trigonometric functions:

Rule

limx→0

sin xx

= 1 and limx→0

1− cos xx

= 0.

Note that the angle x is measured in radians.The proof of the first statement uses a nice geometric argumentand the sandwich theorem.The second statement follows from the first.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12

Page 6: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Trigonometric Functions

We will sometimes use the double angle formulas1 cos(2α) = cos2(α)− sin2(α)

2 sin(2α) = 2 sinα cosα.

which are special cases of the following addition formulas1 cos(α + β) = cosβ cosα− sinα sinβ.2 sin(α + β) = sinα cosβ + cosα sinβ.

What about sin(α/2) and cos(α/2)?

cos(α/2) = ±√

1 + cosα2

and sin(α/2) = ±√

1− cosα2

(the sign (+ or -) depends on the quadrant in which α/2 lies.)

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 3 / 12

Page 7: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Trigonometric Functions

We will sometimes use the double angle formulas1 cos(2α) = cos2(α)− sin2(α)

2 sin(2α) = 2 sinα cosα.

which are special cases of the following addition formulas1 cos(α + β) = cosβ cosα− sinα sinβ.2 sin(α + β) = sinα cosβ + cosα sinβ.

What about sin(α/2) and cos(α/2)?

cos(α/2) = ±√

1 + cosα2

and sin(α/2) = ±√

1− cosα2

(the sign (+ or -) depends on the quadrant in which α/2 lies.)

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 3 / 12

Page 8: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Trigonometric Functions

We will sometimes use the double angle formulas1 cos(2α) = cos2(α)− sin2(α)

2 sin(2α) = 2 sinα cosα.

which are special cases of the following addition formulas1 cos(α + β) = cosβ cosα− sinα sinβ.2 sin(α + β) = sinα cosβ + cosα sinβ.

What about sin(α/2) and cos(α/2)?

cos(α/2) = ±√

1 + cosα2

and sin(α/2) = ±√

1− cosα2

(the sign (+ or -) depends on the quadrant in which α/2 lies.)

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 3 / 12

Page 9: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 3.4: Trigonometric Limits

Example (Online Homework HW10, #7)Evaluate

limθ→0

sin 4θ sin 8θθ2 .

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 4 / 12

Page 10: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 3.4: Trigonometric Limits

Example (Online Homework HW10, #10)Evaluate the limit:

limx→0

tan 5xtan 6x

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 5 / 12

Page 11: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 3.4: Trigonometric Limits

Example (Neuhauser, Example 3(c), p. 118)Evaluate the limit:

limx→0

sec x − 1x sec x

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 6 / 12

Page 12: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Example (Online Homework HW10, #14)A semicircle with diameter PQ sits on an isosceles triangle PQR toform a region shaped like an ice cream cone, as shown in the figure. IfA(θ) is the area of the semicircle and B(θ) is the area of the triangle,

find limθ→0+

A(θ)

B(θ).

Figure: Ice cream cone.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 7 / 12

Page 13: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Average Growth Rate

Population growth in populations with discrete breeding seasons(as discussed in Chapter 2) can be described by the change inpopulation size from generation to generation.

By contrast, in populations that breed continuously, there is nonatural time scale such as generations. Instead, we will look athow the population size changes over small time intervals.We denote the population size at time t by N(t), where t is nowvarying continuously over the interval [0,∞). We investigate howthe population size changes during the interval [t0, t0 + h], whereh > 0. The absolute change during this interval, denoted by ∆N,is ∆N = N(t0 + h)− N(t0).To obtain the relative change during this interval, we divide ∆N bythe length of the interval, denoted by ∆t , which is h. We find that

∆N∆

=N(t0 + h)− N(t0)

hThis ratio is called the average growth rate.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 8 / 12

Page 14: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Average Growth Rate

Population growth in populations with discrete breeding seasons(as discussed in Chapter 2) can be described by the change inpopulation size from generation to generation.By contrast, in populations that breed continuously, there is nonatural time scale such as generations. Instead, we will look athow the population size changes over small time intervals.

We denote the population size at time t by N(t), where t is nowvarying continuously over the interval [0,∞). We investigate howthe population size changes during the interval [t0, t0 + h], whereh > 0. The absolute change during this interval, denoted by ∆N,is ∆N = N(t0 + h)− N(t0).To obtain the relative change during this interval, we divide ∆N bythe length of the interval, denoted by ∆t , which is h. We find that

∆N∆

=N(t0 + h)− N(t0)

hThis ratio is called the average growth rate.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 8 / 12

Page 15: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Average Growth Rate

Population growth in populations with discrete breeding seasons(as discussed in Chapter 2) can be described by the change inpopulation size from generation to generation.By contrast, in populations that breed continuously, there is nonatural time scale such as generations. Instead, we will look athow the population size changes over small time intervals.We denote the population size at time t by N(t), where t is nowvarying continuously over the interval [0,∞). We investigate howthe population size changes during the interval [t0, t0 + h], whereh > 0. The absolute change during this interval, denoted by ∆N,is ∆N = N(t0 + h)− N(t0).

To obtain the relative change during this interval, we divide ∆N bythe length of the interval, denoted by ∆t , which is h. We find that

∆N∆

=N(t0 + h)− N(t0)

hThis ratio is called the average growth rate.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 8 / 12

Page 16: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Average Growth Rate

Population growth in populations with discrete breeding seasons(as discussed in Chapter 2) can be described by the change inpopulation size from generation to generation.By contrast, in populations that breed continuously, there is nonatural time scale such as generations. Instead, we will look athow the population size changes over small time intervals.We denote the population size at time t by N(t), where t is nowvarying continuously over the interval [0,∞). We investigate howthe population size changes during the interval [t0, t0 + h], whereh > 0. The absolute change during this interval, denoted by ∆N,is ∆N = N(t0 + h)− N(t0).To obtain the relative change during this interval, we divide ∆N bythe length of the interval, denoted by ∆t , which is h. We find that

∆N∆

=N(t0 + h)− N(t0)

hThis ratio is called the average growth rate.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 8 / 12

Page 17: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Instantaneous Growth Rate

The slope of the tangent line is called the instantaneous growth rate(at t0) and is a convenient way to describe the growth of a continuouslybreeding population.

To obtain this quantity, we need to take a limit; that is, we need toshrink the length of the interval [t0, t0 + h] to 0 by letting h tend to 0.We express this operation as

lim∆t→0

∆N∆

= limh→0

N(t0 + h)− N(t0)

h

In the expression above, we take a limit of a quantity in which acontinuously varying variable, namely, h, approaches some fixedvalue, namely, 0.

We denote the limiting value of ∆N/∆t as ∆t → 0 by N ′(t0) (read “Nprime of t0") and call this quantity the derivative of N(t) at t0, providedthat this limit exists!

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 9 / 12

Page 18: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Instantaneous Growth Rate

The slope of the tangent line is called the instantaneous growth rate(at t0) and is a convenient way to describe the growth of a continuouslybreeding population.

To obtain this quantity, we need to take a limit; that is, we need toshrink the length of the interval [t0, t0 + h] to 0 by letting h tend to 0.We express this operation as

lim∆t→0

∆N∆

= limh→0

N(t0 + h)− N(t0)

h

In the expression above, we take a limit of a quantity in which acontinuously varying variable, namely, h, approaches some fixedvalue, namely, 0.

We denote the limiting value of ∆N/∆t as ∆t → 0 by N ′(t0) (read “Nprime of t0") and call this quantity the derivative of N(t) at t0, providedthat this limit exists!

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 9 / 12

Page 19: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Instantaneous Growth Rate

The slope of the tangent line is called the instantaneous growth rate(at t0) and is a convenient way to describe the growth of a continuouslybreeding population.

To obtain this quantity, we need to take a limit; that is, we need toshrink the length of the interval [t0, t0 + h] to 0 by letting h tend to 0.We express this operation as

lim∆t→0

∆N∆

= limh→0

N(t0 + h)− N(t0)

h

In the expression above, we take a limit of a quantity in which acontinuously varying variable, namely, h, approaches some fixedvalue, namely, 0.

We denote the limiting value of ∆N/∆t as ∆t → 0 by N ′(t0) (read “Nprime of t0") and call this quantity the derivative of N(t) at t0, providedthat this limit exists!

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 9 / 12

Page 20: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Instantaneous Growth Rate

The slope of the tangent line is called the instantaneous growth rate(at t0) and is a convenient way to describe the growth of a continuouslybreeding population.

To obtain this quantity, we need to take a limit; that is, we need toshrink the length of the interval [t0, t0 + h] to 0 by letting h tend to 0.We express this operation as

lim∆t→0

∆N∆

= limh→0

N(t0 + h)− N(t0)

h

In the expression above, we take a limit of a quantity in which acontinuously varying variable, namely, h, approaches some fixedvalue, namely, 0.

We denote the limiting value of ∆N/∆t as ∆t → 0 by N ′(t0) (read “Nprime of t0") and call this quantity the derivative of N(t) at t0, providedthat this limit exists!

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 9 / 12

Page 21: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: The Derivative of a Function

We formalize the previous discussion for any function f . The averagerate of change of the function y = f (x) between x = x0 and x = x1 is

change in ychange in x

=f (x1)− f (x0)

x1 − x0

By setting h = x1− x0, i.e., x1 = x0 + h, the above expression becomes

∆f∆x

=f (x0 + h)− f (x0)

h

Those quantities represent the slope of the secant line that passesthrough the points P(x0, f (x0)) and Q(x1, f (x1)) [or P(x0, f (x0)) andQ(x0 + h, f (x0 + h)), respectively].

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 10 / 12

Page 22: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Formal Definition of the Derivative

The instantaneous rate of change is defined as the result of computingthe average rate of change over smaller and smaller intervals.

DefinitionThe derivative of a function f at x0, denoted by f ′(x0), is

f ′(x0) = limx1→x0

f (x1)− f (x0)

x1 − x0= lim

h→0

f (x0 + h)− f (x0)

h

provided that the limit exists. In this case we say that the function f isdifferentiable at x0.

Geometrically f ′(x0) represents the slope of the tangent line.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 11 / 12

Page 23: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Formal Definition of the Derivative

The instantaneous rate of change is defined as the result of computingthe average rate of change over smaller and smaller intervals.

DefinitionThe derivative of a function f at x0, denoted by f ′(x0), is

f ′(x0) = limx1→x0

f (x1)− f (x0)

x1 − x0= lim

h→0

f (x0 + h)− f (x0)

h

provided that the limit exists. In this case we say that the function f isdifferentiable at x0.

Geometrically f ′(x0) represents the slope of the tangent line.

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 11 / 12

Page 24: MA 137: Calculus I for the Life Sciencesma137/Spring17/Lectures/section4.1.pdfDavid Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 2 / 12. Section 3.4: Trigonometric

Section 4.1: Formal Definition of the Derivative

Example (Online Homework HW11, #3)

Let f (x) be the function 12x2 − 2x + 11. Then the quotient f (1+h)−f (1)h

can be simplified to ah + b for a = and b = .

Compute

limh→0

f (1 + h)− f (1)

h

David Murrugarra (University of Kentucky) MA 137: Section 4.1 Spring 2017 12 / 12


Recommended