Lesson 5: Continuity (slides)

103
. . SecƟon 1.5 ConƟnuity V63.0121.011: Calculus I Professor MaƩhew Leingang New York University February 7, 2011

description

Continuity says that the limit of a function at a point equals the value of the function at that point, or, that small changes in the input give only small changes in output. This has important implications, such as the Intermediate Value Theorem.

Transcript of Lesson 5: Continuity (slides)

Page 1: Lesson 5: Continuity (slides)

..

Sec on 1.5Con nuity

V63.0121.011: Calculus IProfessor Ma hew Leingang

New York University

February 7, 2011

Page 2: Lesson 5: Continuity (slides)

Announcements

I Get-to-know-you extracredit due FridayFebruary 11

I Quiz 1 February 17/18 inrecita on

Page 3: Lesson 5: Continuity (slides)

ObjectivesI Understand and apply the defini on of

con nuity for a func on at a point oron an interval.

I Given a piecewise defined func on,decide where it is con nuous ordiscon nuous.

I State and understand the IntermediateValue Theorem.

I Use the IVT to show that a func ontakes a certain value, or that anequa on has a solu on

Page 4: Lesson 5: Continuity (slides)

Last timeDefini onWe write

limx→a

f(x) = L

and say

“the limit of f(x), as x approaches a, equals L”

if we can make the values of f(x) arbitrarily close to L (as close to Las we like) by taking x to be sufficiently close to a (on either side ofa) but not equal to a.

Page 5: Lesson 5: Continuity (slides)

Basic Limits

Theorem (Basic Limits)

I limx→a

x = aI lim

x→ac = c

Page 6: Lesson 5: Continuity (slides)

Limit Laws for arithmeticTheorem (Limit Laws)

Let f and g be func ons with limits at a point a. ThenI lim

x→a(f(x) + g(x)) = lim

x→af(x) + lim

x→ag(x)

I limx→a

(f(x)− g(x)) = limx→a

f(x)− limx→a

g(x)

I limx→a

(f(x) · g(x)) = limx→a

f(x) · limx→a

g(x)

I limx→a

f(x)g(x)

=limx→a f(x)limx→a g(x)

if limx→a

g(x) ̸= 0

Page 7: Lesson 5: Continuity (slides)

HatsumonHere are some discussion ques ons to start.

True or FalseAt some point in your life you were exactly three feet tall.

True or FalseAt some point in your life your height (in inches) was equal to yourweight (in pounds).

True or FalseRight now there are a pair of points on opposite sides of the worldmeasuring the exact same temperature.

Page 8: Lesson 5: Continuity (slides)

HatsumonHere are some discussion ques ons to start.

True or FalseAt some point in your life you were exactly three feet tall.

True or FalseAt some point in your life your height (in inches) was equal to yourweight (in pounds).

True or FalseRight now there are a pair of points on opposite sides of the worldmeasuring the exact same temperature.

Page 9: Lesson 5: Continuity (slides)

HatsumonHere are some discussion ques ons to start.

True or FalseAt some point in your life you were exactly three feet tall.

True or FalseAt some point in your life your height (in inches) was equal to yourweight (in pounds).

True or FalseRight now there are a pair of points on opposite sides of the worldmeasuring the exact same temperature.

Page 10: Lesson 5: Continuity (slides)

Outline

Con nuity

The Intermediate Value Theorem

Back to the Ques ons

Page 11: Lesson 5: Continuity (slides)

Recall: Direct SubstitutionProperty

Theorem (The Direct Subs tu on Property)

If f is a polynomial or a ra onal func on and a is in the domain of f,then

limx→a

f(x) = f(a)

This property is so useful it’s worth naming.

Page 12: Lesson 5: Continuity (slides)

Definition of Continuity

Defini on

I Let f be a func on defined neara. We say that f is con nuous ata if

limx→a

f(x) = f(a).

I A func on f is con nuous if it iscon nuous at every point in itsdomain.

.. x.

y

..a

.

f(a)

Page 13: Lesson 5: Continuity (slides)

Definition of Continuity

Defini on

I Let f be a func on defined neara. We say that f is con nuous ata if

limx→a

f(x) = f(a).

I A func on f is con nuous if it iscon nuous at every point in itsdomain. .. x.

y

..a

.

f(a)

Page 14: Lesson 5: Continuity (slides)

ScholiumDefini onLet f be a func on defined near a. We say that f is con nuous at a if

limx→a

f(x) = f(a).

There are three important parts to this defini on.I The func on has to have a limit at a,I the func on has to have a value at a,I and these values have to agree.

Page 15: Lesson 5: Continuity (slides)

Free Theorems

Theorem

(a) Any polynomial is con nuous everywhere; that is, it iscon nuous on R = (−∞,∞).

(b) Any ra onal func on is con nuous wherever it is defined; that is,it is con nuous on its domain.

Page 16: Lesson 5: Continuity (slides)

Showing a function is continuous..Example

Let f(x) =√4x+ 1. Show that f is con nuous at 2.

Solu onWe want to show that lim

x→2f(x) = f(2). We have

limx→a

f(x) = limx→2

√4x+ 1 =

√limx→2

(4x+ 1) =√9 = 3 = f(2).

Each step comes from the limit laws.

Page 17: Lesson 5: Continuity (slides)

Showing a function is continuous..Example

Let f(x) =√4x+ 1. Show that f is con nuous at 2.

Solu onWe want to show that lim

x→2f(x) = f(2). We have

limx→a

f(x) = limx→2

√4x+ 1 =

√limx→2

(4x+ 1) =√9 = 3 = f(2).

Each step comes from the limit laws.

Page 18: Lesson 5: Continuity (slides)

At which other points?Ques on

As before, let f(x) =√4x+ 1. At which points is f con nuous?

Solu on

Page 19: Lesson 5: Continuity (slides)

At which other points?Ques on

As before, let f(x) =√4x+ 1. At which points is f con nuous?

Solu on

I If a > −1/4, then limx→a

(4x+ 1) = 4a+ 1 > 0, so

limx→a

f(x) = limx→a

√4x+ 1 =

√limx→a

(4x+ 1) =√4a+ 1 = f(a)

and f is con nuous at a.

Page 20: Lesson 5: Continuity (slides)

At which other points?Ques on

As before, let f(x) =√4x+ 1. At which points is f con nuous?

Solu on

I If a = −1/4, then 4x+ 1 < 0 to the le of a, which means√4x+ 1 is undefined. S ll,

limx→a+

f(x) = limx→a+

√4x+ 1 =

√limx→a+

(4x+ 1) =√0 = 0 = f(a)

so f is con nuous on the right at a = −1/4.

Page 21: Lesson 5: Continuity (slides)

Limit Laws give Continuity Laws

TheoremIf f(x) and g(x) are con nuous at a and c is a constant, then thefollowing func ons are also con nuous at a:

I (f+ g)(x)I (f− g)(x)I (cf)(x)

I (fg)(x)

Ifg(x) (if g(a) ̸= 0)

Page 22: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 23: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 24: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x)

= limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 25: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 26: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist)

= limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 27: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 28: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.)

= f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 29: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)

(def of f+ g again) = (f+ g)(a)

Page 30: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again)

= (f+ g)(a)

Page 31: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a).

"

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 32: Lesson 5: Continuity (slides)

Sum of continuous is continuousWe want to show that

limx→a

(f+ g)(x) = (f+ g)(a)."

We just follow our nose.

(def of f+ g) limx→a

(f+ g)(x) = limx→a

[f(x) + g(x)]

(if these limits exist) = limx→a

f(x) + limx→a

g(x)

(they do; f and g are cts.) = f(a) + g(a)(def of f+ g again) = (f+ g)(a)

Page 33: Lesson 5: Continuity (slides)

Trig functions are continuousI sin and cos are con nuouson R.

I tan =sincos

and sec =1cos

arecon nuous on their domain,which isR \

{ π

2+ kπ

∣∣∣ k ∈ Z}.

I cot =cossin

and csc =1sin

arecon nuous on their domain,which is R \ { kπ | k ∈ Z }.

..sin

.

cos

.

tan

.

sec

.

cot

.

csc

Page 34: Lesson 5: Continuity (slides)

Trig functions are continuousI sin and cos are con nuouson R.

I tan =sincos

and sec =1cos

arecon nuous on their domain,which isR \

{ π

2+ kπ

∣∣∣ k ∈ Z}.

I cot =cossin

and csc =1sin

arecon nuous on their domain,which is R \ { kπ | k ∈ Z }.

..sin

.

cos

.

tan

.

sec

.

cot

.

csc

Page 35: Lesson 5: Continuity (slides)

Trig functions are continuousI sin and cos are con nuouson R.

I tan =sincos

and sec =1cos

arecon nuous on their domain,which isR \

{ π

2+ kπ

∣∣∣ k ∈ Z}.

I cot =cossin

and csc =1sin

arecon nuous on their domain,which is R \ { kπ | k ∈ Z }.

..sin

.

cos

.

tan

.

sec

.

cot

.

csc

Page 36: Lesson 5: Continuity (slides)

Trig functions are continuousI sin and cos are con nuouson R.

I tan =sincos

and sec =1cos

arecon nuous on their domain,which isR \

{ π

2+ kπ

∣∣∣ k ∈ Z}.

I cot =cossin

and csc =1sin

arecon nuous on their domain,which is R \ { kπ | k ∈ Z }.

..sin

.

cos

.

tan

.

sec

.

cot

.

csc

Page 37: Lesson 5: Continuity (slides)

Trig functions are continuousI sin and cos are con nuouson R.

I tan =sincos

and sec =1cos

arecon nuous on their domain,which isR \

{ π

2+ kπ

∣∣∣ k ∈ Z}.

I cot =cossin

and csc =1sin

arecon nuous on their domain,which is R \ { kπ | k ∈ Z }.

..sin

.

cos

.

tan

.

sec

.

cot

.

csc

Page 38: Lesson 5: Continuity (slides)

Trig functions are continuousI sin and cos are con nuouson R.

I tan =sincos

and sec =1cos

arecon nuous on their domain,which isR \

{ π

2+ kπ

∣∣∣ k ∈ Z}.

I cot =cossin

and csc =1sin

arecon nuous on their domain,which is R \ { kπ | k ∈ Z }.

..sin

.

cos

.

tan

.

sec

.

cot

.

csc

Page 39: Lesson 5: Continuity (slides)

Exp and Log are continuousFor any base a > 1,I the func on x 7→ ax iscon nuous on R

I the func on loga iscon nuous on itsdomain: (0,∞)

I In par cular ex andln = loge are con nuouson their domains

..

ax

.

loga x

Page 40: Lesson 5: Continuity (slides)

Exp and Log are continuousFor any base a > 1,I the func on x 7→ ax iscon nuous on R

I the func on loga iscon nuous on itsdomain: (0,∞)

I In par cular ex andln = loge are con nuouson their domains

..

ax

.

loga x

Page 41: Lesson 5: Continuity (slides)

Exp and Log are continuousFor any base a > 1,I the func on x 7→ ax iscon nuous on R

I the func on loga iscon nuous on itsdomain: (0,∞)

I In par cular ex andln = loge are con nuouson their domains

..

ax

.

loga x

Page 42: Lesson 5: Continuity (slides)

Inverse trigonometric functionsare mostly continuous

I sin−1 and cos−1 are con nuous on (−1, 1), le con nuous at 1,and right con nuous at−1.

I sec−1 and csc−1 are con nuous on (−∞,−1) ∪ (1,∞), lecon nuous at−1, and right con nuous at 1.

I tan−1 and cot−1 are con nuous on R.

..

−π

.

−π/2

.π/2

.

π

...sin−1

...

cos−1

.

sec−1

... csc−1

... tan−1

.

cot−1

Page 43: Lesson 5: Continuity (slides)

Inverse trigonometric functionsare mostly continuous

I sin−1 and cos−1 are con nuous on (−1, 1), le con nuous at 1,and right con nuous at−1.

I sec−1 and csc−1 are con nuous on (−∞,−1) ∪ (1,∞), lecon nuous at−1, and right con nuous at 1.

I tan−1 and cot−1 are con nuous on R.

..

−π

.

−π/2

.π/2

.

π

...sin−1 ...

cos−1

.

sec−1

... csc−1

... tan−1

.

cot−1

Page 44: Lesson 5: Continuity (slides)

Inverse trigonometric functionsare mostly continuous

I sin−1 and cos−1 are con nuous on (−1, 1), le con nuous at 1,and right con nuous at−1.

I sec−1 and csc−1 are con nuous on (−∞,−1) ∪ (1,∞), lecon nuous at−1, and right con nuous at 1.

I tan−1 and cot−1 are con nuous on R.

..

−π

.

−π/2

.π/2

.

π

...sin−1 ...

cos−1

.

sec−1

..

. csc−1

... tan−1

.

cot−1

Page 45: Lesson 5: Continuity (slides)

Inverse trigonometric functionsare mostly continuous

I sin−1 and cos−1 are con nuous on (−1, 1), le con nuous at 1,and right con nuous at−1.

I sec−1 and csc−1 are con nuous on (−∞,−1) ∪ (1,∞), lecon nuous at−1, and right con nuous at 1.

I tan−1 and cot−1 are con nuous on R.

..

−π

.

−π/2

.π/2

.

π

...sin−1 ...

cos−1

.

sec−1

... csc−1

..

. tan−1

.

cot−1

Page 46: Lesson 5: Continuity (slides)

Inverse trigonometric functionsare mostly continuous

I sin−1 and cos−1 are con nuous on (−1, 1), le con nuous at 1,and right con nuous at−1.

I sec−1 and csc−1 are con nuous on (−∞,−1) ∪ (1,∞), lecon nuous at−1, and right con nuous at 1.

I tan−1 and cot−1 are con nuous on R.

..

−π

.

−π/2

.π/2

.

π

...sin−1 ...

cos−1

.

sec−1

... csc−1

... tan−1

.

cot−1

Page 47: Lesson 5: Continuity (slides)

Inverse trigonometric functionsare mostly continuous

I sin−1 and cos−1 are con nuous on (−1, 1), le con nuous at 1,and right con nuous at−1.

I sec−1 and csc−1 are con nuous on (−∞,−1) ∪ (1,∞), lecon nuous at−1, and right con nuous at 1.

I tan−1 and cot−1 are con nuous on R.

..

−π

.

−π/2

.π/2

.

π

...sin−1 ...

cos−1

.

sec−1

... csc−1

... tan−1

.

cot−1

Page 48: Lesson 5: Continuity (slides)

What could go wrong?

In what ways could a func on f fail to be con nuous at a point a?Look again at the equa on from the defini on:

limx→a

f(x) = f(a)

Page 49: Lesson 5: Continuity (slides)

Continuity FAIL

: no limit

..Example

Let f(x) =

{x2 if 0 ≤ x ≤ 12x if 1 < x ≤ 2

. At which points is f con nuous?

Solu onAt any point a besides 1, lim

x→af(x) = f(a) because f is represented by a

polynomial near a, and polynomials have the direct subs tu on property.

limx→1−

f(x) = limx→1−

x2 = 12 = 1 and limx→1+

f(x) = limx→1+

2x = 2(1) = 2

So f has no limit at 1. Therefore f is not con nuous at 1.

Page 50: Lesson 5: Continuity (slides)

Continuity FAIL: no limit..Example

Let f(x) =

{x2 if 0 ≤ x ≤ 12x if 1 < x ≤ 2

. At which points is f con nuous?

Solu onAt any point a besides 1, lim

x→af(x) = f(a) because f is represented by a

polynomial near a, and polynomials have the direct subs tu on property.

limx→1−

f(x) = limx→1−

x2 = 12 = 1 and limx→1+

f(x) = limx→1+

2x = 2(1) = 2

So f has no limit at 1. Therefore f is not con nuous at 1.

Page 51: Lesson 5: Continuity (slides)

Graphical Illustration of Pitfall #1

.. x.

y

..−1

..1

..2

..

−1

..

1

..

2

..

3

..

4

....

The func on cannot becon nuous at a point if thefunc on has no limit at thatpoint.

Page 52: Lesson 5: Continuity (slides)

Graphical Illustration of Pitfall #1

.. x.

y

..−1

..1

..2

..

−1

..

1

..

2

..

3

..

4

.....

FAILThe func on cannot becon nuous at a point if thefunc on has no limit at thatpoint.

Page 53: Lesson 5: Continuity (slides)

Continuity FAIL

: no value

Example

Letf(x) =

x2 + 2x+ 1x+ 1

At which points is f con nuous?

Solu onBecause f is ra onal, it is con nuous on its whole domain. Note that−1 is not in the domain of f, so f is not con nuous there.

Page 54: Lesson 5: Continuity (slides)

Continuity FAIL: no valueExample

Letf(x) =

x2 + 2x+ 1x+ 1

At which points is f con nuous?

Solu onBecause f is ra onal, it is con nuous on its whole domain. Note that−1 is not in the domain of f, so f is not con nuous there.

Page 55: Lesson 5: Continuity (slides)

Graphical Illustration of Pitfall #2

.. x.

y

...−1

..

1 The func on cannot becon nuous at a point outsideits domain (that is, a pointwhere it has no value).

Page 56: Lesson 5: Continuity (slides)

Graphical Illustration of Pitfall #2

.. x.

y

...−1

..

1

.

FAIL The func on cannot becon nuous at a point outsideits domain (that is, a pointwhere it has no value).

Page 57: Lesson 5: Continuity (slides)

Continuity FAIL

: value ̸= limit

Example

Let

f(x) =

{7 if x ̸= 1π if x = 1

At which points is f con nuous?

Solu onf is not con nuous at 1 because f(1) = π but lim

x→1f(x) = 7.

Page 58: Lesson 5: Continuity (slides)

Continuity FAIL: value ̸= limitExample

Let

f(x) =

{7 if x ̸= 1π if x = 1

At which points is f con nuous?

Solu onf is not con nuous at 1 because f(1) = π but lim

x→1f(x) = 7.

Page 59: Lesson 5: Continuity (slides)

Graphical Illustration of Pitfall #3

.. x.

y

..

π

..

7

..1

..

If the func on has a limit anda value at a point the twomust s ll agree.

Page 60: Lesson 5: Continuity (slides)

Graphical Illustration of Pitfall #3

.. x.

y

..

π

..

7

..1

...FAIL

If the func on has a limit anda value at a point the twomust s ll agree.

Page 61: Lesson 5: Continuity (slides)

Special types of discontinuities

removable discon nuity The limit limx→a

f(x) exists, but f is notdefined at a or its value at a is not equal to the limit at a.

By re-defining f(a) = limx→a

f(x), f can be made con nuousat a

jump discon nuity The limits limx→a−

f(x) and limx→a+

f(x) exist, but aredifferent.

The func on cannot be made con nuous bychanging a single value.

Page 62: Lesson 5: Continuity (slides)

Special discontinuities graphically

.. x.

y

..

π

..

7

..1

..

..

Presto! con nuous!

removable

.. x.

y

..1

..

1

..

2

....

..

con nuous?

...

con nuous?

..

con nuous?

jump

Page 63: Lesson 5: Continuity (slides)

Special discontinuities graphically

.. x.

y

..

π

..

7

..1

..

..

Presto! con nuous!

removable

.. x.

y

..1

..

1

..

2

....

..

con nuous?

...

con nuous?

..

con nuous?

jump

Page 64: Lesson 5: Continuity (slides)

Special discontinuities graphically

.. x.

y

..

π

..

7

..1

..

..

Presto! con nuous!

removable

.. x.

y

..1

..

1

..

2

......

con nuous?

...

con nuous?

..

con nuous?

jump

Page 65: Lesson 5: Continuity (slides)

Special discontinuities graphically

.. x.

y

..

π

..

7

..1

..

..

Presto! con nuous!

removable

.. x.

y

..1

..

1

..

2

....

..

con nuous?

...

con nuous?

..

con nuous?

jump

Page 66: Lesson 5: Continuity (slides)

Special discontinuities graphically

.. x.

y

..

π

..

7

..1

..

..

Presto! con nuous!

removable

.. x.

y

..1

..

1

..

2

....

..

con nuous?

.

..

con nuous?

..

con nuous?

jump

Page 67: Lesson 5: Continuity (slides)

Special types of discontinuities

removable discon nuity The limit limx→a

f(x) exists, but f is notdefined at a or its value at a is not equal to the limit at a.By re-defining f(a) = lim

x→af(x), f can be made con nuous

at ajump discon nuity The limits lim

x→a−f(x) and lim

x→a+f(x) exist, but are

different.

The func on cannot be made con nuous bychanging a single value.

Page 68: Lesson 5: Continuity (slides)

Special types of discontinuities

removable discon nuity The limit limx→a

f(x) exists, but f is notdefined at a or its value at a is not equal to the limit at a.By re-defining f(a) = lim

x→af(x), f can be made con nuous

at ajump discon nuity The limits lim

x→a−f(x) and lim

x→a+f(x) exist, but are

different. The func on cannot be made con nuous bychanging a single value.

Page 69: Lesson 5: Continuity (slides)

The greatest integer function[[x]] is the greatest integer≤ x.

x [[x]]0 01 1

1.5 11.9 12.1 2

−0.5 −1−0.9 −1−1.1 −2

.. x.

y

..−2

..

−2

..−1

..

−1

..1

..

1

..2

..

2

..3

..

3

...........

y = [[x]]

This func on has a jump discon nuity at each integer.

Page 70: Lesson 5: Continuity (slides)

The greatest integer function[[x]] is the greatest integer≤ x.

x [[x]]0 01 1

1.5 11.9 12.1 2

−0.5 −1−0.9 −1−1.1 −2

.. x.

y

..−2

..

−2

..−1

..

−1

..1

..

1

..2

..

2

..3

..

3

...........

y = [[x]]

This func on has a jump discon nuity at each integer.

Page 71: Lesson 5: Continuity (slides)

Outline

Con nuity

The Intermediate Value Theorem

Back to the Ques ons

Page 72: Lesson 5: Continuity (slides)

A Big Time Theorem

Theorem (The Intermediate Value Theorem)

Suppose that f is con nuous on the closed interval [a, b] and let N beany number between f(a) and f(b), where f(a) ̸= f(b). Then thereexists a number c in (a, b) such that f(c) = N.

Page 73: Lesson 5: Continuity (slides)

Illustrating the IVT

Theorem

Suppose that f is con nuouson the closed interval [a, b]and let N be any numberbetween f(a) and f(b), wheref(a) ̸= f(b). Then there existsa number c in (a, b) such thatf(c) = N.

.. x.

f(x)

... a. b.

f(a)

.

f(b)

.

N

. c... c1.. c2.. c3

Page 74: Lesson 5: Continuity (slides)

Illustrating the IVT

TheoremSuppose that f is con nuouson the closed interval [a, b]

and let N be any numberbetween f(a) and f(b), wheref(a) ̸= f(b). Then there existsa number c in (a, b) such thatf(c) = N.

.. x.

f(x)

..

. a. b.

f(a)

.

f(b)

.

N

. c... c1.. c2.. c3

Page 75: Lesson 5: Continuity (slides)

Illustrating the IVT

TheoremSuppose that f is con nuouson the closed interval [a, b]

and let N be any numberbetween f(a) and f(b), wheref(a) ̸= f(b). Then there existsa number c in (a, b) such thatf(c) = N.

.. x.

f(x)

... a. b.

f(a)

.

f(b)

.

N

. c... c1.. c2.. c3

Page 76: Lesson 5: Continuity (slides)

Illustrating the IVT

TheoremSuppose that f is con nuouson the closed interval [a, b]and let N be any numberbetween f(a) and f(b), wheref(a) ̸= f(b).

Then there existsa number c in (a, b) such thatf(c) = N.

.. x.

f(x)

... a. b.

f(a)

.

f(b)

.

N

. c... c1.. c2.. c3

Page 77: Lesson 5: Continuity (slides)

Illustrating the IVT

TheoremSuppose that f is con nuouson the closed interval [a, b]and let N be any numberbetween f(a) and f(b), wheref(a) ̸= f(b). Then there existsa number c in (a, b) such thatf(c) = N. .. x.

f(x)

... a. b.

f(a)

.

f(b)

.

N

. c.

.. c1.. c2.. c3

Page 78: Lesson 5: Continuity (slides)

Illustrating the IVT

TheoremSuppose that f is con nuouson the closed interval [a, b]and let N be any numberbetween f(a) and f(b), wheref(a) ̸= f(b). Then there existsa number c in (a, b) such thatf(c) = N. .. x.

f(x)

... a. b.

f(a)

.

f(b)

.

N

. c... c1.. c2.. c3

Page 79: Lesson 5: Continuity (slides)

Illustrating the IVT

TheoremSuppose that f is con nuouson the closed interval [a, b]and let N be any numberbetween f(a) and f(b), wheref(a) ̸= f(b). Then there existsa number c in (a, b) such thatf(c) = N. .. x.

f(x)

... a. b.

f(a)

.

f(b)

.

N

. c.

.. c1.. c2.. c3

Page 80: Lesson 5: Continuity (slides)

What the IVT does not say

The Intermediate Value Theorem is an “existence” theorem.I It does not say how many such c exist.I It also does not say how to find c.

S ll, it can be used in itera on or in conjunc on with othertheorems to answer these ques ons.

Page 81: Lesson 5: Continuity (slides)

Using the IVT to find zeroes

Example

Let f(x) = x3 − x− 1. Show that there is a zero for f on the interval[1, 2].

Solu onf(1) = −1 and f(2) = 5. So there is a zero between 1 and 2.

In fact, we can “narrow in” on the zero by the method of bisec ons.

Page 82: Lesson 5: Continuity (slides)

Using the IVT to find zeroes

Example

Let f(x) = x3 − x− 1. Show that there is a zero for f on the interval[1, 2].

Solu onf(1) = −1 and f(2) = 5. So there is a zero between 1 and 2.

In fact, we can “narrow in” on the zero by the method of bisec ons.

Page 83: Lesson 5: Continuity (slides)

Using the IVT to find zeroes

Example

Let f(x) = x3 − x− 1. Show that there is a zero for f on the interval[1, 2].

Solu onf(1) = −1 and f(2) = 5. So there is a zero between 1 and 2.

In fact, we can “narrow in” on the zero by the method of bisec ons.

Page 84: Lesson 5: Continuity (slides)

Finding a zero by bisection

x f(x)

1 − 11.25 − 0.296875

1.3125 − 0.05151371.375 0.224609

1.5 0.8752 5

(More careful analysis yields1.32472.)

.. x.

y

........

Page 85: Lesson 5: Continuity (slides)

Finding a zero by bisection

x f(x)1 − 1

1.25 − 0.2968751.3125 − 0.05151371.375 0.224609

1.5 0.8752 5

(More careful analysis yields1.32472.)

.. x.

y

..

......

Page 86: Lesson 5: Continuity (slides)

Finding a zero by bisection

x f(x)1 − 1

1.25 − 0.2968751.3125 − 0.05151371.375 0.224609

1.5 0.875

2 5

(More careful analysis yields1.32472.)

.. x.

y

....

....

Page 87: Lesson 5: Continuity (slides)

Finding a zero by bisection

x f(x)1 − 1

1.25 − 0.2968751.3125 − 0.05151371.375 0.224609

1.5 0.8752 5

(More careful analysis yields1.32472.)

.. x.

y

.....

...

Page 88: Lesson 5: Continuity (slides)

Finding a zero by bisection

x f(x)1 − 1

1.25 − 0.296875

1.3125 − 0.05151371.375 0.224609

1.5 0.8752 5

(More careful analysis yields1.32472.)

.. x.

y

......

..

Page 89: Lesson 5: Continuity (slides)

Finding a zero by bisection

x f(x)1 − 1

1.25 − 0.296875

1.3125 − 0.0515137

1.375 0.2246091.5 0.8752 5

(More careful analysis yields1.32472.)

.. x.

y

.......

.

Page 90: Lesson 5: Continuity (slides)

Finding a zero by bisection

x f(x)1 − 1

1.25 − 0.2968751.3125 − 0.05151371.375 0.224609

1.5 0.8752 5

(More careful analysis yields1.32472.)

.. x.

y

........

Page 91: Lesson 5: Continuity (slides)

Finding a zero by bisection

x f(x)1 − 1

1.25 − 0.2968751.3125 − 0.05151371.375 0.224609

1.5 0.8752 5

(More careful analysis yields1.32472.)

.. x.

y

........

Page 92: Lesson 5: Continuity (slides)

Using the IVT to assert existenceof numbers

Example

Suppose we are unaware of the square root func on and that it’scon nuous. Prove that the square root of two exists.

Proof.Let f(x) = x2, a con nuous func on on [1, 2]. Note f(1) = 1 andf(2) = 4. Since 2 is between 1 and 4, there exists a point c in (1, 2)such that

f(c) = c2 = 2.

Page 93: Lesson 5: Continuity (slides)

Using the IVT to assert existenceof numbers

Example

Suppose we are unaware of the square root func on and that it’scon nuous. Prove that the square root of two exists.

Proof.Let f(x) = x2, a con nuous func on on [1, 2].

Note f(1) = 1 andf(2) = 4. Since 2 is between 1 and 4, there exists a point c in (1, 2)such that

f(c) = c2 = 2.

Page 94: Lesson 5: Continuity (slides)

Using the IVT to assert existenceof numbers

Example

Suppose we are unaware of the square root func on and that it’scon nuous. Prove that the square root of two exists.

Proof.Let f(x) = x2, a con nuous func on on [1, 2]. Note f(1) = 1 andf(2) = 4. Since 2 is between 1 and 4, there exists a point c in (1, 2)such that

f(c) = c2 = 2.

Page 95: Lesson 5: Continuity (slides)

Outline

Con nuity

The Intermediate Value Theorem

Back to the Ques ons

Page 96: Lesson 5: Continuity (slides)

Back to the QuestionsTrue or FalseAt one point in your life you were exactly three feet tall.

True or FalseAt one point in your life your height in inches equaled your weight inpounds.

True or FalseRight now there are two points on opposite sides of the Earth withexactly the same temperature.

Page 97: Lesson 5: Continuity (slides)

Question 1

AnswerThe answer is TRUE.

I Let h(t) be height, which varies con nuously over me.I Then h(birth) < 3 ft and h(now) > 3 ft.I So by the IVT there is a point c in (birth, now) where h(c) = 3.

Page 98: Lesson 5: Continuity (slides)

Back to the QuestionsTrue or FalseAt one point in your life you were exactly three feet tall.

True or FalseAt one point in your life your height in inches equaled your weight inpounds.

True or FalseRight now there are two points on opposite sides of the Earth withexactly the same temperature.

Page 99: Lesson 5: Continuity (slides)

Question 2AnswerThe answer is TRUE.

I Let h(t) be height in inches and w(t) be weight in pounds, bothvarying con nuously over me.

I Let f(t) = h(t)− w(t).I For most of us (call your mom), f(birth) > 0 and f(now) < 0.I So by the IVT there is a point c in (birth, now) where f(c) = 0.I In other words,

h(c)− w(c) = 0 ⇐⇒ h(c) = w(c).

Page 100: Lesson 5: Continuity (slides)

Back to the QuestionsTrue or FalseAt one point in your life you were exactly three feet tall.

True or FalseAt one point in your life your height in inches equaled your weight inpounds.

True or FalseRight now there are two points on opposite sides of the Earth withexactly the same temperature.

Page 101: Lesson 5: Continuity (slides)

Question 3

AnswerThe answer is TRUE.

I Let T(θ) be the temperature at the point on the equator atlongitude θ.

I How can you express the statement that the temperature onopposite sides is the same?

I How can you ensure this is true?

Page 102: Lesson 5: Continuity (slides)

Question 3

I Let f(θ) = T(θ)− T(θ + 180◦)I Then

f(0) = T(0)− T(180)

whilef(180) = T(180)− T(360) = −f(0)

I So somewhere between 0 and 180 there is a point θ wheref(θ) = 0!

Page 103: Lesson 5: Continuity (slides)

SummaryWhat have we learned today?

I Defini on: a func on is con nuous at a point if the limit of thefunc on at that point agrees with the value of the func on atthat point.

I We o en make a fundamental assump on that func ons wemeet in nature are con nuous.

I The Intermediate Value Theorem is a basic property of realnumbers that we need and use a lot.