Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review...

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Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 1 / 13

Transcript of Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review...

Page 1: Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math

Math 240: Vector Calc. Review

Ryan Blair

University of Pennsylvania

Thursday March 3, 2011

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 1 / 13

Page 2: Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math

Outline

1 Review

2 Today’s Goals

3 Vector-Valued Functions

4 Del, Div, Curl, Grad

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 2 / 13

Page 3: Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math

Review

Review for Last Time

1 Learned how to model spring/mass systems with damped motion.2 Learned how to model spring/mass systems with driven motion.

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 3 / 13

Page 4: Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math

Review

Spring/Mass Example

Suppose 16 N of force stretches a spring 1 meter from equilibrium. Ifa mass of 4 kg is attached to the spring and subjected to a drivingforce given by f (t) = cos(t), then find the equation that models theposition of the system in the absence of a damping force.

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 4 / 13

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Today’s Goals

Today’s Goals

1 Review vector valued functions.2 Review del, grad, curl and div.3 Review line integrals.

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 5 / 13

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Vector-Valued Functions

Vector-Valued Functions

Definition

Vectors whose components are functions of a parameter t are calledvector-valued functions.

r(t) =< f (t), g(t) >= f (t)i + g(t)j

r(t) =< f (t), g(t), h(t) >= f (t)i + g(t)j + h(t)i

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 6 / 13

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Vector-Valued Functions

Vector-Valued Functions

Definition

Vectors whose components are functions of a parameter t are calledvector-valued functions.

r(t) =< f (t), g(t) >= f (t)i + g(t)j

r(t) =< f (t), g(t), h(t) >= f (t)i + g(t)j + h(t)i

Example: r(t) =< cos(t), sin(t), t >

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 6 / 13

Page 8: Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math

Vector-Valued Functions

Vector-Valued Functions

Definition

Vectors whose components are functions of a parameter t are calledvector-valued functions.

r(t) =< f (t), g(t) >= f (t)i + g(t)j

r(t) =< f (t), g(t), h(t) >= f (t)i + g(t)j + h(t)i

Example: r(t) =< cos(t), sin(t), t >

Important: These are the parameterized curves we will integratealong

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 6 / 13

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Vector-Valued Functions

Derivative of a Vector-Valued Function

Definition

If r(t) =< f (t), g(t), h(t) > where f , g , and h are differentiable,then

r ′(t) =< f ′(t), g ′(t), h′(t) >

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 7 / 13

Page 10: Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math

Vector-Valued Functions

Derivative of a Vector-Valued Function

Definition

If r(t) =< f (t), g(t), h(t) > where f , g , and h are differentiable,then

r ′(t) =< f ′(t), g ′(t), h′(t) >

Theorem

(Chain Rule) If r is a differentiable vector function and s = u(t) is adifferentiable scalar function, then

dr

dt=

ds

ds

ds

dt= r′(s)u′(t).

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 7 / 13

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Vector-Valued Functions

Integrating Vector-Valued Functions

Theorem

If f , g and h are integrable and r(t) =< f (t), g(t), h(t) >, then

r(t)dt =<

f (t)dt,

g(t)dt,

h(t)dt >

b

a

r(t)dt =<

b

a

f (t)dt,

b

a

g(t)dt,

b

a

h(t)dt >

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 8 / 13

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Del, Div, Curl, Grad

Del and Grad

The differential operator del is given by

∇ =∂

∂xi +

∂yj +

∂zk

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Del, Div, Curl, Grad

Del and Grad

The differential operator del is given by

∇ =∂

∂xi +

∂yj +

∂zk

Given a scalar function f (x , y , z) we can form the gradient of f

using del.

grad(f ) = ∇f =∂f

∂xi +

∂f

∂yj +

∂f

∂zk

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 9 / 13

Page 14: Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math

Del, Div, Curl, Grad

Del and Grad

The differential operator del is given by

∇ =∂

∂xi +

∂yj +

∂zk

Given a scalar function f (x , y , z) we can form the gradient of f

using del.

grad(f ) = ∇f =∂f

∂xi +

∂f

∂yj +

∂f

∂zk

∇f points in the direction of greatest change of f .

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 9 / 13

Page 15: Math 240: Vector Calc. Reviewryblair/Math240/papers/Lec3_3.pdf · Math 240: Vector Calc. Review Ryan Blair University of Pennsylvania Thursday March 3, 2011 Ryan Blair (U Penn) Math

Del, Div, Curl, Grad

Del and Grad

The differential operator del is given by

∇ =∂

∂xi +

∂yj +

∂zk

Given a scalar function f (x , y , z) we can form the gradient of f

using del.

grad(f ) = ∇f =∂f

∂xi +

∂f

∂yj +

∂f

∂zk

∇f points in the direction of greatest change of f .Example: Guess the gradient of f (x , y , z) = xyz at (1, 1, 1) byinterpreting the function as volume of a box.

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 9 / 13

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Del, Div, Curl, Grad

Div and Curl

Definition

The curl of a vector field F = P i + Qj + Rk is the vector field

curl(F ) = ∇× F = (∂R

∂y−

∂Q

∂z)i + (

∂P

∂z−

∂R

∂x)j + (

∂Q

∂x−

∂P

∂y)k

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 10 / 13

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Del, Div, Curl, Grad

Div and Curl

Definition

The curl of a vector field F = P i + Qj + Rk is the vector field

curl(F ) = ∇× F = (∂R

∂y−

∂Q

∂z)i + (

∂P

∂z−

∂R

∂x)j + (

∂Q

∂x−

∂P

∂y)k

Definition

The divergence of a vector field F = P i + Qj + Rk is given by thescalar function

div (F ) = ∇F =∂P

∂xi +

∂Q

∂yj +

∂R

∂zk

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 10 / 13

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Del, Div, Curl, Grad

Div and Curl

Definition

The curl of a vector field F = P i + Qj + Rk is the vector field

curl(F ) = ∇× F = (∂R

∂y−

∂Q

∂z)i + (

∂P

∂z−

∂R

∂x)j + (

∂Q

∂x−

∂P

∂y)k

Definition

The divergence of a vector field F = P i + Qj + Rk is given by thescalar function

div (F ) = ∇F =∂P

∂xi +

∂Q

∂yj +

∂R

∂zk

Curl measures the tendency of a vector field to rotate. Divergencemeasures the tendency of a vector field to expand or contract.

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 10 / 13

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Del, Div, Curl, Grad

Compositions

It is important to note

1 grad(scalar function) = vector field

2 div(vector field) = scalar function

3 curl(vector field) = vector field

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 11 / 13

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Del, Div, Curl, Grad

Line Integrals in 2D

If G(x,y) is a scalar valued function and C is a smooth curve in theplane defined by the parametric equations x = f (t) and y = g(t)where a ≤ t ≤ b then we can define the following line integrals

1

CG (x , y)dx =

b

aG (f (t), g(t))f ′(t)dt

2

CG (x , y)dy =

b

aG (f (t), g(t))g ′(t)dt

3

CG (x , y)ds =

b

aG (f (t), g(t))

(f ′(t))2 + (g ′(t))2dt

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 12 / 13

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Del, Div, Curl, Grad

Line Integrals in 3D

If G(x,y,z) is a scalar valued function and C is a smooth curve in3-space defined by the parametric equations x = f (t), y = g(t) andz = h(t) where a ≤ t ≤ b then we can define the following lineintegrals

1

CG (x , y , z)dx =

b

aG (f (t), g(t), h(t))f ′(t)dt

2

CG (x , y , z)dy =

b

aG (f (t), g(t), h(t))g ′(t)dt

3

CG (x , y , z)dz =

b

aG (f (t), g(t), h(t))h′(t)dt

4

CG (x , y , z)ds =

b

aG (f (t), g(t), h(t))

(f ′(t))2 + (g ′(t))2 + (h′(t))2dt

Ryan Blair (U Penn) Math 240: Vector Calc. Review Thursday March 3, 2011 13 / 13