Math 241: Multivariable calculus, Lecture 1nirobles/files241/lecture01.pdf · Calculus of 1...

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Math 241: Multivariable calculus, Lecture 1Introduction, Rn, vectors.

Sections 12.1, 12.2

go.illinois.edu/math241fa17

Monday, August 28th, 2017

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.

• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.

• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.• Worksheets.

• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Components of the course

• Lectures will be Monday, Wednesday, Friday in 314 AltgeldHall.

• Discussion sections Tuesday and Thursday.• Worksheets.• Quiz

• Information about the course will be on the Wiki:go.illinois.edu/math241fa17.

• Webassign homework,https://www.webassign.net/uiuc/login.html

• Piazza, https://piazza.com

• Tutoring room

• Moodle for the grades

• Exams and Final

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2, r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2, r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2, r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2,

r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2,

r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2, r(x) = 2x2+xx3−5x+20

,

h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2, r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),

g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2, r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2, r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Calculus of 1 variable

In Calculus I and II you study real valued functions

y = f (x)

of a single real variable, x .

Examples:

• f (x) = x2, r(x) = 2x2+xx3−5x+20

, h(θ) = sin(θ) + cos(2θ),g(u) = eu,...

• T (t) = temperature in Champaign-Urbana, t hours aftermidnight on August 27.

• ρ(d) = density of a piece of wire at distance d from one end.

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.

• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

Three key concepts from Calculus I, II.

f (x), a function of one variable.

1 The derivative: f ′(x) = dfdx = d

dx f (x) = dydx .

• Rate of change.• Slope of the tangent line to the graph.

2 The integral:∫ ba f (x) dx .

• Signed area under graph.

• Average value 1b−a

∫ b

af (x) dx .

3 Fundamental Theorem of Calculus: Relates the two.

• f (b)− f (a) =∫ b

af ′(x) dx .

go.illinois.edu/math241fa17.

1 variable is too limiting

Functions of a single variable are insufficient for modeling morecomplicated situations.

Examples:

• The temperature depends on location as well as time. Needto specify location, e.g. by latitude x and longitude y , andtime, e.g. t hours after midnight:

T (x , y , t) = temperature at time t in location (x , y).

• Density of a flat sheet of metal can depends on the point inthe sheet, specified by x and y coordinates

δ(x , y) = density of point at (x , y) in a sheet of metal

go.illinois.edu/math241fa17.

1 variable is too limiting

Functions of a single variable are insufficient for modeling morecomplicated situations.

Examples:

• The temperature depends on location as well as time. Needto specify location, e.g. by latitude x and longitude y , andtime, e.g. t hours after midnight:

T (x , y , t) = temperature at time t in location (x , y).

• Density of a flat sheet of metal can depends on the point inthe sheet, specified by x and y coordinates

δ(x , y) = density of point at (x , y) in a sheet of metal

go.illinois.edu/math241fa17.

1 variable is too limiting

Functions of a single variable are insufficient for modeling morecomplicated situations.

Examples:

• The temperature depends on location as well as time.

Needto specify location, e.g. by latitude x and longitude y , andtime, e.g. t hours after midnight:

T (x , y , t) = temperature at time t in location (x , y).

• Density of a flat sheet of metal can depends on the point inthe sheet, specified by x and y coordinates

δ(x , y) = density of point at (x , y) in a sheet of metal

go.illinois.edu/math241fa17.

1 variable is too limiting

Functions of a single variable are insufficient for modeling morecomplicated situations.

Examples:

• The temperature depends on location as well as time.

Needto specify location, e.g. by latitude x and longitude y , andtime, e.g. t hours after midnight:

T (x , y , t) = temperature at time t in location (x , y).

• Density of a flat sheet of metal can depends on the point inthe sheet, specified by x and y coordinates

δ(x , y) = density of point at (x , y) in a sheet of metal

go.illinois.edu/math241fa17.

1 variable is too limiting

Functions of a single variable are insufficient for modeling morecomplicated situations.

Examples:

• The temperature depends on location as well as time. Needto specify location, e.g. by latitude x and longitude y , andtime, e.g. t hours after midnight:

T (x , y , t) = temperature at time t in location (x , y).

• Density of a flat sheet of metal can depends on the point inthe sheet, specified by x and y coordinates

δ(x , y) = density of point at (x , y) in a sheet of metal

go.illinois.edu/math241fa17.

1 variable is too limiting

Functions of a single variable are insufficient for modeling morecomplicated situations.

Examples:

• The temperature depends on location as well as time. Needto specify location, e.g. by latitude x and longitude y , andtime, e.g. t hours after midnight:

T (x , y , t) = temperature at time t in location (x , y).

• Density of a flat sheet of metal can depends on the point inthe sheet, specified by x and y coordinates

δ(x , y) = density of point at (x , y) in a sheet of metal

go.illinois.edu/math241fa17.

1 variable is too limiting

Functions of a single variable are insufficient for modeling morecomplicated situations.

Examples:

• The temperature depends on location as well as time. Needto specify location, e.g. by latitude x and longitude y , andtime, e.g. t hours after midnight:

T (x , y , t) = temperature at time t in location (x , y).

• Density of a flat sheet of metal can depends on the point inthe sheet, specified by x and y coordinates

δ(x , y) = density of point at (x , y) in a sheet of metal

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

• R1 = 1− dimensional space = R = real line

• R2 = 2− dimensional space= Cartesian plane= {(x , y) | x , y ∈ R}= ordered pairs of real numbers .

• R3 = 3− dimensional space= {(x , y , z) | x , y , z ∈ R}= ordered triples of real numbers.

The numbers x , y in R2 or x , y , z in R3 are the coordinates of thepoint. If P is a point in R2 it has coordinates (x , y). We write

P(x , y) in this case. same for more dimensions.

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

• R1 = 1− dimensional space = R = real line

• R2 = 2− dimensional space= Cartesian plane= {(x , y) | x , y ∈ R}= ordered pairs of real numbers .

• R3 = 3− dimensional space= {(x , y , z) | x , y , z ∈ R}= ordered triples of real numbers.

The numbers x , y in R2 or x , y , z in R3 are the coordinates of thepoint. If P is a point in R2 it has coordinates (x , y). We write

P(x , y) in this case. same for more dimensions.

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

• R1 = 1− dimensional space = R = real line

• R2 = 2− dimensional space= Cartesian plane= {(x , y) | x , y ∈ R}= ordered pairs of real numbers .

• R3 = 3− dimensional space= {(x , y , z) | x , y , z ∈ R}= ordered triples of real numbers.

The numbers x , y in R2 or x , y , z in R3 are the coordinates of thepoint. If P is a point in R2 it has coordinates (x , y). We write

P(x , y) in this case. same for more dimensions.

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

• R1 = 1− dimensional space = R = real line

• R2 = 2− dimensional space= Cartesian plane= {(x , y) | x , y ∈ R}= ordered pairs of real numbers .

• R3 = 3− dimensional space= {(x , y , z) | x , y , z ∈ R}= ordered triples of real numbers.

The numbers x , y in R2 or x , y , z in R3 are the coordinates of thepoint. If P is a point in R2 it has coordinates (x , y). We write

P(x , y) in this case. same for more dimensions.

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

• R1 = 1− dimensional space = R = real line

• R2 = 2− dimensional space= Cartesian plane= {(x , y) | x , y ∈ R}= ordered pairs of real numbers .

• R3 = 3− dimensional space= {(x , y , z) | x , y , z ∈ R}= ordered triples of real numbers.

The numbers x , y in R2 or x , y , z in R3 are the coordinates of thepoint.

If P is a point in R2 it has coordinates (x , y). We write

P(x , y) in this case. same for more dimensions.

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

• R1 = 1− dimensional space = R = real line

• R2 = 2− dimensional space= Cartesian plane= {(x , y) | x , y ∈ R}= ordered pairs of real numbers .

• R3 = 3− dimensional space= {(x , y , z) | x , y , z ∈ R}= ordered triples of real numbers.

The numbers x , y in R2 or x , y , z in R3 are the coordinates of thepoint. If P is a point in R2 it has coordinates (x , y). We write

P(x , y) in this case. same for more dimensions.

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

For any n = 1, 2, 3, 4, ..., we have

Rn = n − dimensional space= {(x1, x2, . . . , xn) | xi ∈ R}= ordered n–tuples real numbers.

x1, . . . , xn are the coordinates of the point.

We will study functions whose domain (and range) is a subset ofRn.

Dimensions 1,2 and 3 will serve as motivation and provideintuition, though much of the theory works for all n (but not all!)

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

For any n = 1, 2, 3, 4, ..., we haveRn = n − dimensional space

= {(x1, x2, . . . , xn) | xi ∈ R}= ordered n–tuples real numbers.

x1, . . . , xn are the coordinates of the point.

We will study functions whose domain (and range) is a subset ofRn.

Dimensions 1,2 and 3 will serve as motivation and provideintuition, though much of the theory works for all n (but not all!)

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

For any n = 1, 2, 3, 4, ..., we haveRn = n − dimensional space

= {(x1, x2, . . . , xn) | xi ∈ R}= ordered n–tuples real numbers.

x1, . . . , xn are the coordinates of the point.

We will study functions whose domain (and range) is a subset ofRn.

Dimensions 1,2 and 3 will serve as motivation and provideintuition, though much of the theory works for all n (but not all!)

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

For any n = 1, 2, 3, 4, ..., we haveRn = n − dimensional space

= {(x1, x2, . . . , xn) | xi ∈ R}= ordered n–tuples real numbers.

x1, . . . , xn are the coordinates of the point.

We will study functions whose domain (and range) is a subset ofRn.

Dimensions 1,2 and 3 will serve as motivation and provideintuition, though much of the theory works for all n (but not all!)

go.illinois.edu/math241fa17.

The setting: n–dimensional space, Rn.

For any n = 1, 2, 3, 4, ..., we haveRn = n − dimensional space

= {(x1, x2, . . . , xn) | xi ∈ R}= ordered n–tuples real numbers.

x1, . . . , xn are the coordinates of the point.

We will study functions whose domain (and range) is a subset ofRn.

Dimensions 1,2 and 3 will serve as motivation and provideintuition, though much of the theory works for all n (but not all!)

go.illinois.edu/math241fa17.

Plan for this course

Develop calculus to study functions of several variables.

1 Derivatives: Chapter 14 (and 13)

2 Integrals: Chapter 15 (and 13)

3 “Fundamental Theorems of Calculus” : Chapter 16

go.illinois.edu/math241fa17.

Plan for this course

Develop calculus to study functions of several variables.

1 Derivatives: Chapter 14 (and 13)

2 Integrals: Chapter 15 (and 13)

3 “Fundamental Theorems of Calculus” : Chapter 16

go.illinois.edu/math241fa17.

Plan for this course

Develop calculus to study functions of several variables.

1 Derivatives: Chapter 14 (and 13)

2 Integrals: Chapter 15 (and 13)

3 “Fundamental Theorems of Calculus” : Chapter 16

go.illinois.edu/math241fa17.

Plan for this course

Develop calculus to study functions of several variables.

1 Derivatives: Chapter 14 (and 13)

2 Integrals: Chapter 15 (and 13)

3 “Fundamental Theorems of Calculus” : Chapter 16

go.illinois.edu/math241fa17.

What do we need in order to do calculus?

Question: What sets calculus apart from algebra, trigonometry,pre-calculus?

Answer: Limits! In one variable:

limx→a

f (x) = L means

“as x approaches a, f (x) approaches L”

This requires a notion of “proximity” and hence of distance.

go.illinois.edu/math241fa17.

What do we need in order to do calculus?

Question: What sets calculus apart from algebra, trigonometry,pre-calculus?

Answer: Limits! In one variable:

limx→a

f (x) = L means

“as x approaches a, f (x) approaches L”

This requires a notion of “proximity” and hence of distance.

go.illinois.edu/math241fa17.

What do we need in order to do calculus?

Question: What sets calculus apart from algebra, trigonometry,pre-calculus?

Answer: Limits!

In one variable:

limx→a

f (x) = L means

“as x approaches a, f (x) approaches L”

This requires a notion of “proximity” and hence of distance.

go.illinois.edu/math241fa17.

What do we need in order to do calculus?

Question: What sets calculus apart from algebra, trigonometry,pre-calculus?

Answer: Limits! In one variable:

limx→a

f (x) = L means

“as x approaches a, f (x) approaches L”

This requires a notion of “proximity” and hence of distance.

go.illinois.edu/math241fa17.

What do we need in order to do calculus?

Question: What sets calculus apart from algebra, trigonometry,pre-calculus?

Answer: Limits! In one variable:

limx→a

f (x) = L means

“as x approaches a, f (x) approaches L”

This requires a notion of “proximity” and hence of distance.

go.illinois.edu/math241fa17.

What do we need in order to do calculus?

Question: What sets calculus apart from algebra, trigonometry,pre-calculus?

Answer: Limits! In one variable:

limx→a

f (x) = L means

“as x approaches a, f (x) approaches L”

This requires a notion of “proximity” and hence of distance.

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Distance

Given P(x1, . . . , xn),Q(y1, . . . , yn) ∈ Rn, define the distancebetween these points to be

|PQ| = distance from P to Q

=√

(x1 − y1)2 + (x2 − y2)2 + . . .+ (xn − yn)2

n = 2 (Pythagorean Theorem)

Distance from (a, b) to (c, d)

is√

(a− c)2 + (b − d)2

n = 3

Distance from (a, b, c) to (p, q, r)

is√

(a− p)2 + (b − q)2 + (c − r)2

(a,b,c)

x

y

z

(p,q,r)

go.illinois.edu/math241fa17.

Spheres: application of distance formula

For C (a, b, c) ∈ R3 and r > 0, the sphere of radius r withcenter C is the set

{P ∈ R3 | |PC | = r}

Then, if P has coordinates (x , y , z),

|PC | = r ⇔√

(x − a)2 + (y − b)2 + (z − c)2 = r

⇔ (x − a)2 + (y − b)2 + (z − c)2 = r2

This is equation for sphere: set of points (x , y , z) satisfying thisequation is a sphere.

Compare equation of a circle (x − a)2 + (y − b)2 = r2.

go.illinois.edu/math241fa17.

Spheres: application of distance formula

For C (a, b, c) ∈ R3 and r > 0, the sphere of radius r withcenter C is the set

{P ∈ R3 | |PC | = r}

Then, if P has coordinates (x , y , z),

|PC | = r ⇔√

(x − a)2 + (y − b)2 + (z − c)2 = r

⇔ (x − a)2 + (y − b)2 + (z − c)2 = r2

This is equation for sphere: set of points (x , y , z) satisfying thisequation is a sphere.

Compare equation of a circle (x − a)2 + (y − b)2 = r2.

go.illinois.edu/math241fa17.

Spheres: application of distance formula

For C (a, b, c) ∈ R3 and r > 0, the sphere of radius r withcenter C is the set

{P ∈ R3 | |PC | = r}

Then, if P has coordinates (x , y , z),

|PC | = r ⇔

√(x − a)2 + (y − b)2 + (z − c)2 = r

⇔ (x − a)2 + (y − b)2 + (z − c)2 = r2

This is equation for sphere: set of points (x , y , z) satisfying thisequation is a sphere.

Compare equation of a circle (x − a)2 + (y − b)2 = r2.

go.illinois.edu/math241fa17.

Spheres: application of distance formula

For C (a, b, c) ∈ R3 and r > 0, the sphere of radius r withcenter C is the set

{P ∈ R3 | |PC | = r}

Then, if P has coordinates (x , y , z),

|PC | = r ⇔√

(x − a)2 + (y − b)2 + (z − c)2 = r

(x − a)2 + (y − b)2 + (z − c)2 = r2

This is equation for sphere: set of points (x , y , z) satisfying thisequation is a sphere.

Compare equation of a circle (x − a)2 + (y − b)2 = r2.

go.illinois.edu/math241fa17.

Spheres: application of distance formula

For C (a, b, c) ∈ R3 and r > 0, the sphere of radius r withcenter C is the set

{P ∈ R3 | |PC | = r}

Then, if P has coordinates (x , y , z),

|PC | = r ⇔√

(x − a)2 + (y − b)2 + (z − c)2 = r

⇔ (x − a)2 + (y − b)2 + (z − c)2 = r2

This is equation for sphere: set of points (x , y , z) satisfying thisequation is a sphere.

Compare equation of a circle (x − a)2 + (y − b)2 = r2.

go.illinois.edu/math241fa17.

Spheres: application of distance formula

For C (a, b, c) ∈ R3 and r > 0, the sphere of radius r withcenter C is the set

{P ∈ R3 | |PC | = r}

Then, if P has coordinates (x , y , z),

|PC | = r ⇔√

(x − a)2 + (y − b)2 + (z − c)2 = r

⇔ (x − a)2 + (y − b)2 + (z − c)2 = r2

This is equation for sphere: set of points (x , y , z) satisfying thisequation is a sphere.

Compare equation of a circle (x − a)2 + (y − b)2 = r2.

go.illinois.edu/math241fa17.

Spheres: application of distance formula

For C (a, b, c) ∈ R3 and r > 0, the sphere of radius r withcenter C is the set

{P ∈ R3 | |PC | = r}

Then, if P has coordinates (x , y , z),

|PC | = r ⇔√

(x − a)2 + (y − b)2 + (z − c)2 = r

⇔ (x − a)2 + (y − b)2 + (z − c)2 = r2

This is equation for sphere: set of points (x , y , z) satisfying thisequation is a sphere.

Compare equation of a circle (x − a)2 + (y − b)2 = r2.

go.illinois.edu/math241fa17.

What else do we need to do calculus?

Derivatives (and integrals) require limit and displacement:

f ′(x) = limh→0

f (x + h)− f (x)

h.

Need displacement from x to x + h (and from f (x) to f (x + h)).This requires vectors....

go.illinois.edu/math241fa17.

What else do we need to do calculus?

Derivatives (and integrals) require limit and displacement:

f ′(x) = limh→0

f (x + h)− f (x)

h.

Need displacement from x to x + h (and from f (x) to f (x + h)).

This requires vectors....

go.illinois.edu/math241fa17.

What else do we need to do calculus?

Derivatives (and integrals) require limit and displacement:

f ′(x) = limh→0

f (x + h)− f (x)

h.

Need displacement from x to x + h (and from f (x) to f (x + h)).This requires vectors....

go.illinois.edu/math241fa17.

Vectors in R2.

A vector in R2 is an arrow. It represents a quantity with bothdirection and magnitude.

Two vectors are equal if they have the same direction andmagnitude.

Notation: book v (bold face) or written ~v (arrow over).

go.illinois.edu/math241fa17.

Vectors in R2.

A vector in R2 is an arrow. It represents a quantity with bothdirection and magnitude.

Two vectors are equal if they have the same direction andmagnitude.

Notation: book v (bold face) or written ~v (arrow over).

go.illinois.edu/math241fa17.

Vectors in R2.

A vector in R2 is an arrow. It represents a quantity with bothdirection and magnitude.

Two vectors are equal if they have the same direction andmagnitude.

Notation: book v (bold face) or written ~v (arrow over).

go.illinois.edu/math241fa17.

Vectors in R2.

A vector in R2 is an arrow. It represents a quantity with bothdirection and magnitude.

Two vectors are equal if they have the same direction andmagnitude.

Notation: book v (bold face) or written ~v (arrow over).

go.illinois.edu/math241fa17.

Operations and constructions

Addition: Parallelogram rule. This defines the sum of two vectors:v + w.

Scalar multiplication: Scale magnitude, and reverse direction ifnegative. What is cv if c = 1, 0, 2,−1?

Displacement vector from A to B is−→AB, tail at A and tip at B.

go.illinois.edu/math241fa17.

Operations and constructions

Addition: Parallelogram rule.

This defines the sum of two vectors:v + w.

Scalar multiplication: Scale magnitude, and reverse direction ifnegative. What is cv if c = 1, 0, 2,−1?

Displacement vector from A to B is−→AB, tail at A and tip at B.

go.illinois.edu/math241fa17.

Operations and constructions

Addition: Parallelogram rule. This defines the sum of two vectors:v + w.

Scalar multiplication: Scale magnitude, and reverse direction ifnegative. What is cv if c = 1, 0, 2,−1?

Displacement vector from A to B is−→AB, tail at A and tip at B.

go.illinois.edu/math241fa17.

Operations and constructions

Addition: Parallelogram rule. This defines the sum of two vectors:v + w.

Scalar multiplication: Scale magnitude, and reverse direction ifnegative.

What is cv if c = 1, 0, 2,−1?

Displacement vector from A to B is−→AB, tail at A and tip at B.

go.illinois.edu/math241fa17.

Operations and constructions

Addition: Parallelogram rule. This defines the sum of two vectors:v + w.

Scalar multiplication: Scale magnitude, and reverse direction ifnegative. What is cv if c = 1, 0, 2,−1?

Displacement vector from A to B is−→AB, tail at A and tip at B.

go.illinois.edu/math241fa17.

Operations and constructions

Addition: Parallelogram rule. This defines the sum of two vectors:v + w.

Scalar multiplication: Scale magnitude, and reverse direction ifnegative. What is cv if c = 1, 0, 2,−1?

Displacement vector from A to B is−→AB, tail at A and tip at B.

go.illinois.edu/math241fa17.

Position vectors

Every vector is equal to one with tail at the origin O = (0, 0):

Vectors in R2 ←→ R2

−→OP ←→ P

−→OP = position vector of the point P. (vectors and points aredifferent objects)

Write ~v = 〈v1, v2〉 (or sometimes just (v1, v2)).

The numbers v1, v2 are the components of ~v .

go.illinois.edu/math241fa17.

Position vectors

Every vector is equal to one with tail at the origin O = (0, 0):

Vectors in R2 ←→ R2

−→OP ←→ P

−→OP = position vector of the point P. (vectors and points aredifferent objects)

Write ~v = 〈v1, v2〉 (or sometimes just (v1, v2)).

The numbers v1, v2 are the components of ~v .

go.illinois.edu/math241fa17.

Position vectors

Every vector is equal to one with tail at the origin O = (0, 0):

Vectors in R2 ←→ R2

−→OP ←→ P

−→OP = position vector of the point P. (vectors and points aredifferent objects)

Write ~v = 〈v1, v2〉 (or sometimes just (v1, v2)).

The numbers v1, v2 are the components of ~v .

go.illinois.edu/math241fa17.

Position vectors

Every vector is equal to one with tail at the origin O = (0, 0):

Vectors in R2 ←→ R2

−→OP ←→ P

−→OP = position vector of the point P. (vectors and points aredifferent objects)

Write ~v = 〈v1, v2〉 (or sometimes just (v1, v2)).

The numbers v1, v2 are the components of ~v .

go.illinois.edu/math241fa17.

Position vectors

Every vector is equal to one with tail at the origin O = (0, 0):

Vectors in R2 ←→ R2

−→OP ←→ P

−→OP = position vector of the point P. (vectors and points aredifferent objects)

Write ~v = 〈v1, v2〉 (or sometimes just (v1, v2)).

The numbers v1, v2 are the components of ~v .

go.illinois.edu/math241fa17.

Calculations in terms of components

For ~u = 〈u1, u2〉, ~v = 〈v1, v2〉, and c ∈ R we have

~u + ~v = 〈u1 + v1, u2 + v2〉

c~u = 〈cu1, cu2〉

‖~u‖ =√

u21 + u22 = magnitude of ~u.

Sometimes write |~u| instead. Also call it the norm or length of ~u.

A(a1, a2) and B(b1, b2), the displacement vector is−→AB = 〈b1 − a1, b2 − a2〉.

go.illinois.edu/math241fa17.

Calculations in terms of components

For ~u = 〈u1, u2〉, ~v = 〈v1, v2〉, and c ∈ R we have

~u + ~v = 〈u1 + v1, u2 + v2〉

c~u = 〈cu1, cu2〉

‖~u‖ =√

u21 + u22 = magnitude of ~u.

Sometimes write |~u| instead. Also call it the norm or length of ~u.

A(a1, a2) and B(b1, b2), the displacement vector is−→AB = 〈b1 − a1, b2 − a2〉.

go.illinois.edu/math241fa17.

Calculations in terms of components

For ~u = 〈u1, u2〉, ~v = 〈v1, v2〉, and c ∈ R we have

~u + ~v = 〈u1 + v1, u2 + v2〉

c~u = 〈cu1, cu2〉

‖~u‖ =√

u21 + u22 = magnitude of ~u.

Sometimes write |~u| instead. Also call it the norm or length of ~u.

A(a1, a2) and B(b1, b2), the displacement vector is−→AB = 〈b1 − a1, b2 − a2〉.

go.illinois.edu/math241fa17.

Calculations in terms of components

For ~u = 〈u1, u2〉, ~v = 〈v1, v2〉, and c ∈ R we have

~u + ~v = 〈u1 + v1, u2 + v2〉

c~u = 〈cu1, cu2〉

‖~u‖ =√

u21 + u22 = magnitude of ~u.

Sometimes write |~u| instead. Also call it the norm or length of ~u.

A(a1, a2) and B(b1, b2), the displacement vector is−→AB = 〈b1 − a1, b2 − a2〉.

go.illinois.edu/math241fa17.

Calculations in terms of components

For ~u = 〈u1, u2〉, ~v = 〈v1, v2〉, and c ∈ R we have

~u + ~v = 〈u1 + v1, u2 + v2〉

c~u = 〈cu1, cu2〉

‖~u‖ =√

u21 + u22 = magnitude of ~u.

Sometimes write |~u| instead. Also call it the norm or length of ~u.

A(a1, a2) and B(b1, b2), the displacement vector is−→AB = 〈b1 − a1, b2 − a2〉.

go.illinois.edu/math241fa17.

Calculations in terms of components

For ~u = 〈u1, u2〉, ~v = 〈v1, v2〉, and c ∈ R we have

~u + ~v = 〈u1 + v1, u2 + v2〉

c~u = 〈cu1, cu2〉

‖~u‖ =√

u21 + u22 = magnitude of ~u.

Sometimes write |~u| instead. Also call it the norm or length of ~u.

A(a1, a2) and B(b1, b2), the displacement vector is−→AB = 〈b1 − a1, b2 − a2〉.

go.illinois.edu/math241fa17.

Vectors in Rn

Vectors in Rn ←→ Rn

−→OP ←→ P

−→OP = position vector of the point P.

~v = 〈v1, . . . , vn〉 = position vector of the point (v1, . . . , vn).

v1, . . . , vn are the components.

Displacement vector from point A(a1, . . . , an) to B(b1, . . . , bn):

−→AB = 〈b1 − a1, . . . , bn − an〉.

“Arrow from A to B”

go.illinois.edu/math241fa17.

Vectors in Rn

Vectors in Rn ←→ Rn

−→OP ←→ P

−→OP = position vector of the point P.

~v = 〈v1, . . . , vn〉 = position vector of the point (v1, . . . , vn).

v1, . . . , vn are the components.

Displacement vector from point A(a1, . . . , an) to B(b1, . . . , bn):

−→AB = 〈b1 − a1, . . . , bn − an〉.

“Arrow from A to B”

go.illinois.edu/math241fa17.

Vectors in Rn

Vectors in Rn ←→ Rn

−→OP ←→ P

−→OP = position vector of the point P.

~v = 〈v1, . . . , vn〉 = position vector of the point (v1, . . . , vn).

v1, . . . , vn are the components.

Displacement vector from point A(a1, . . . , an) to B(b1, . . . , bn):

−→AB = 〈b1 − a1, . . . , bn − an〉.

“Arrow from A to B”

go.illinois.edu/math241fa17.

Vectors in Rn

Vectors in Rn ←→ Rn

−→OP ←→ P

−→OP = position vector of the point P.

~v = 〈v1, . . . , vn〉 = position vector of the point (v1, . . . , vn).

v1, . . . , vn are the components.

Displacement vector from point A(a1, . . . , an) to B(b1, . . . , bn):

−→AB = 〈b1 − a1, . . . , bn − an〉.

“Arrow from A to B”

go.illinois.edu/math241fa17.

Vectors in Rn

Vectors in Rn ←→ Rn

−→OP ←→ P

−→OP = position vector of the point P.

~v = 〈v1, . . . , vn〉 = position vector of the point (v1, . . . , vn).

v1, . . . , vn are the components.

Displacement vector from point A(a1, . . . , an) to B(b1, . . . , bn):

−→AB = 〈b1 − a1, . . . , bn − an〉.

“Arrow from A to B”

go.illinois.edu/math241fa17.

Vectors in Rn

Vectors in Rn ←→ Rn

−→OP ←→ P

−→OP = position vector of the point P.

~v = 〈v1, . . . , vn〉 = position vector of the point (v1, . . . , vn).

v1, . . . , vn are the components.

Displacement vector from point A(a1, . . . , an) to B(b1, . . . , bn):

−→AB = 〈b1 − a1, . . . , bn − an〉.

“Arrow from A to B”

go.illinois.edu/math241fa17.

Vectors in Rn

Vectors in Rn ←→ Rn

−→OP ←→ P

−→OP = position vector of the point P.

~v = 〈v1, . . . , vn〉 = position vector of the point (v1, . . . , vn).

v1, . . . , vn are the components.

Displacement vector from point A(a1, . . . , an) to B(b1, . . . , bn):

−→AB = 〈b1 − a1, . . . , bn − an〉.

“Arrow from A to B”

go.illinois.edu/math241fa17.

Vectors in Rn

Vectors in Rn ←→ Rn

−→OP ←→ P

−→OP = position vector of the point P.

~v = 〈v1, . . . , vn〉 = position vector of the point (v1, . . . , vn).

v1, . . . , vn are the components.

Displacement vector from point A(a1, . . . , an) to B(b1, . . . , bn):

−→AB = 〈b1 − a1, . . . , bn − an〉.

“Arrow from A to B”

go.illinois.edu/math241fa17.

Physical quantities

We will also use vectors to denote physical quantities:

Example: Forces have a direction and magnitude, so we canrepresent them with vectorsMultiple forces acting on an object, then the net force on object(or resultant force) is the sum of the forces.

Example: Wind has speed and direction, so can represent it with avector.

go.illinois.edu/math241fa17.

Physical quantities

We will also use vectors to denote physical quantities:

Example: Forces have a direction and magnitude, so we canrepresent them with vectorsMultiple forces acting on an object, then the net force on object(or resultant force) is the sum of the forces.

Example: Wind has speed and direction, so can represent it with avector.

go.illinois.edu/math241fa17.

Physical quantities

We will also use vectors to denote physical quantities:

Example: Forces have a direction and magnitude, so we canrepresent them with vectors

Multiple forces acting on an object, then the net force on object(or resultant force) is the sum of the forces.

Example: Wind has speed and direction, so can represent it with avector.

go.illinois.edu/math241fa17.

Physical quantities

We will also use vectors to denote physical quantities:

Example: Forces have a direction and magnitude, so we canrepresent them with vectorsMultiple forces acting on an object, then the net force on object(or resultant force) is the sum of the forces.

Example: Wind has speed and direction, so can represent it with avector.

go.illinois.edu/math241fa17.

Physical quantities

We will also use vectors to denote physical quantities:

Example: Forces have a direction and magnitude, so we canrepresent them with vectorsMultiple forces acting on an object, then the net force on object(or resultant force) is the sum of the forces.

Example: Wind has speed and direction, so can represent it with avector.

go.illinois.edu/math241fa17.