Calculus/Multivariable and differential calculus:Exercises

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Multivariable and differential calculus:Exercises

Parametric Equations

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1. Find parametric equations describing the line segment from P(0,0) to Q(7,17).
x=7t and y=17t, where 0 ≤ t ≤ 1
x=7t and y=17t, where 0 ≤ t ≤ 1
2. Find parametric equations describing the line segment from to .
3. Find parametric equations describing the ellipse centered at the origin with major axis of length 6 along the x-axis and the minor axis of length 3 along the y-axis, generated clockwise.

Polar Coordinates

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20. Convert the equation into Cartesian coordinates:
Making the substitutions and gives
Making the substitutions and gives
21. Find an equation of the line y=mx+b in polar coordinates.
Making the substitutions and gives
Making the substitutions and gives

Sketch the following polar curves without using a computer.

22.
23.
24.

Sketch the following sets of points.

25.
26.

Calculus in Polar Coordinates

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Find points where the following curves have vertical or horizontal tangents.

40.

Horizontal tangents occur at points where . This condition is equivalent to .

Vertical tangents occur at points where . This condition is equivalent to .

The condition for a horizontal tangent gives:

Horizontal tangents occur at which correspond to the Cartesian points and .

The condition for a vertical tangent gives:

Vertical tangents occur at which correspond to the Cartesian points and .

Horizontal tangents at (2,2) and (2,-2); vertical tangents at (0,0) and (4,0)

Horizontal tangents occur at points where . This condition is equivalent to .

Vertical tangents occur at points where . This condition is equivalent to .

The condition for a horizontal tangent gives:

Horizontal tangents occur at which correspond to the Cartesian points and .

The condition for a vertical tangent gives:

Vertical tangents occur at which correspond to the Cartesian points and .

Horizontal tangents at (2,2) and (2,-2); vertical tangents at (0,0) and (4,0)
41.
Horizontal tangents occur at points where . This condition is equivalent to .

Vertical tangents occur at points where . This condition is equivalent to .

The condition for a horizontal tangent gives:

Horizontal tangents occur at which correspond to the Cartesian points , , , and . Point corresponds to a vertical cusp however and should be excluded leaving , , and .

The condition for a vertical tangent gives:

Vertical tangents occur at which correspond to the Cartesian points , , and .

Horizontal tangents at (r,θ) = (4,π/2), (1,7π/6) and (1,-π/6); vertical tangents at (r,θ) = (3,π/6), (3,5π/6), and (0,3π/2)
Horizontal tangents occur at points where . This condition is equivalent to .

Vertical tangents occur at points where . This condition is equivalent to .

The condition for a horizontal tangent gives:

Horizontal tangents occur at which correspond to the Cartesian points , , , and . Point corresponds to a vertical cusp however and should be excluded leaving , , and .

The condition for a vertical tangent gives:

Vertical tangents occur at which correspond to the Cartesian points , , and .

Horizontal tangents at (r,θ) = (4,π/2), (1,7π/6) and (1,-π/6); vertical tangents at (r,θ) = (3,π/6), (3,5π/6), and (0,3π/2)

Sketch the region and find its area.

42. The region inside the limaçon
Given an infinitesimal wedge with angle and radius , the area is . The total area is therefore . 9π/2
Given an infinitesimal wedge with angle and radius , the area is . The total area is therefore . 9π/2
43. The region inside the petals of the rose and outside the circle
There are 4 petals, as seen in the image below. The area of just one of the petals needs to be computed and the multiplied by .

It is first necessary to compute the angular limits of one of the petals. The petals start and end at points where . The bounds on one of the petals are .

Given an annular wedge with angle , inner radius , and an outer radius of , the area is . The total area of all 4 petals is therefore .

There are 4 petals, as seen in the image below. The area of just one of the petals needs to be computed and the multiplied by .

It is first necessary to compute the angular limits of one of the petals. The petals start and end at points where . The bounds on one of the petals are .

Given an annular wedge with angle , inner radius , and an outer radius of , the area is . The total area of all 4 petals is therefore .

Vectors and Dot Product

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60. Find an equation of the sphere with center (1,2,0) passing through the point (3,4,5)
The general equation for a sphere is where is the location of the sphere's center and is the sphere's radius.

It is already known that the sphere's center is . The sphere's radius is the distance between (1,2,0) and (3,4,5) which is .

Therefore the sphere's equation is: .
The general equation for a sphere is where is the location of the sphere's center and is the sphere's radius.

It is already known that the sphere's center is . The sphere's radius is the distance between (1,2,0) and (3,4,5) which is .

Therefore the sphere's equation is: .
61. Sketch the plane passing through the points (2,0,0), (0,3,0), and (0,0,4)
62. Find the value of if and

.

Therefore: .

.

Therefore: .

63. Find all unit vectors parallel to
The length of is . Therefore is a unit vector that points in the same direction as , and is a unit vector that points in the opposite direction as . are the unit vectors that are parallel to .
The length of is . Therefore is a unit vector that points in the same direction as , and is a unit vector that points in the opposite direction as . are the unit vectors that are parallel to .
64. Prove one of the distributive properties for vectors in :

.

.
65. Find all unit vectors orthogonal to in

Rotating counterclockwise gives . is orthogonal to , and the normalization of and its negative are the only unit vectors that are orthogonal to .

The magnitude of is so the only unit vectors that are orthogonal to are .

Rotating counterclockwise gives . is orthogonal to , and the normalization of and its negative are the only unit vectors that are orthogonal to .

The magnitude of is so the only unit vectors that are orthogonal to are .
66. Find all unit vectors orthogonal to in

All vectors that are orthogonal to must satisfy .

The set of possible values of is . The restriction that becomes .

The set of possible and is an ellipse with radii and . One possible parameterization of and is and where . This parameterization yields where as the complete set of unit vectors that are orthogonal to .

Re-parameterizing by letting gives the set

All vectors that are orthogonal to must satisfy .

The set of possible values of is . The restriction that becomes .

The set of possible and is an ellipse with radii and . One possible parameterization of and is and where . This parameterization yields where as the complete set of unit vectors that are orthogonal to .

Re-parameterizing by letting gives the set
67. Find all unit vectors that make an angle of with the vector

The angle that makes with the x-axis is counterclockwise.

Making a both a clockwise and a counterclockwise rotation of gives

The angle that makes with the x-axis is counterclockwise.

Making a both a clockwise and a counterclockwise rotation of gives

Cross Product

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Find and

80. and
81. and

Find the area of the parallelogram with sides and .

82. and

The cross product of vectors and is a vector with length where is the angle between and . is the area of the parallelogram with sides and , so this area is found by computing .

The cross product of vectors and is a vector with length where is the angle between and . is the area of the parallelogram with sides and , so this area is found by computing .

83. and

The cross product of vectors and is a vector with length where is the angle between and . is the area of the parallelogram with sides and , so this area is found by computing .

The cross product of vectors and is a vector with length where is the angle between and . is the area of the parallelogram with sides and , so this area is found by computing .


84. Find all vectors that satisfy the equation
The cross product is orthogonal to both multiplicand vectors. should be orthogonal to both and . However, so and are not orthogonal. The equation is never true, and therefore the set of vectors that satisfy the equation is "None".
The cross product is orthogonal to both multiplicand vectors. should be orthogonal to both and . However, so and are not orthogonal. The equation is never true, and therefore the set of vectors that satisfy the equation is "None".
85. Find the volume of the parallelepiped with edges given by position vectors , , and

The volume of a parallelepiped with edges defined by the vectors , , and is the absolute value of the scalar triple product: .

The volume of a parallelepiped with edges defined by the vectors , , and is the absolute value of the scalar triple product: .

86. A wrench has a pivot at the origin and extends along the x-axis. Find the magnitude and the direction of the torque at the pivot when the force is applied to the wrench n units away from the origin.
The moment arm is , so the torque applied is The magnitude of the torque is . The torque's direction is .
The moment arm is , so the torque applied is The magnitude of the torque is . The torque's direction is .

Prove the following identities or show them false by giving a counterexample.

87.
False:
False:
88.
True: Once expressed in component form, both sides evaluate to
True: Once expressed in component form, both sides evaluate to
89.
True:
True:

Calculus of Vector-Valued Functions

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100. Differentiate .
101. Find a tangent vector for the curve at the point .
so a possible a tangent vector at is
so a possible a tangent vector at is
102. Find the unit tangent vector for the curve .
so the unit tangent vector is
so the unit tangent vector is
103. Find the unit tangent vector for the curve at the point .

so the unit tangent vector is

At :

so the unit tangent vector is

At :
104. Find if and .
For an arbitrary the position can be computed by the integral .

For an arbitrary the position can be computed by the integral .

105. Evaluate

Motion in Space

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120. Find velocity, speed, and acceleration of an object if the position is given by .
, ,
, ,
121. Find the velocity and the position vectors for if the acceleration is given by .

Length of Curves

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Find the length of the following curves.

140.
For an infinitesimal step , the length traversed is approximately

.

The total length is therefore:

For an infinitesimal step , the length traversed is approximately

.

The total length is therefore:

141.
For an infinitesimal step , the length traversed is approximately

.

The total length is therefore:

For an infinitesimal step , the length traversed is approximately

.

The total length is therefore:

Parametrization and Normal Vectors

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142. Find a description of the curve that uses arc length as a parameter:
For an infinitesimal step , the length traversed is approximately

Given an upper bound of , the arc length swept out from to is:

The arc length spans a range from to . For an arc length of , the upper bound on that generates an arc length of is , and the point at which this upper bound occurs is:
For an infinitesimal step , the length traversed is approximately

Given an upper bound of , the arc length swept out from to is:

The arc length spans a range from to . For an arc length of , the upper bound on that generates an arc length of is , and the point at which this upper bound occurs is:
143. Find the unit tangent vector T and the principal unit normal vector N for the curve Check that TN=0.
A tangent vector is . Normalizing this vector to get the unit tangent vector gives:

A vector that has the direction of the principal unit normal vector is

Normalizing gives the principal unit normal vector:

A tangent vector is . Normalizing this vector to get the unit tangent vector gives:

A vector that has the direction of the principal unit normal vector is

Normalizing gives the principal unit normal vector:

Equations of Lines And Planes

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160. Find an equation of a plane passing through points
Let denote a plane that contains points , , and . Let denote an arbitrary vector that is orthogonal to , and denote the position vector of an arbitrary point contained by . A point at position vector is contained by if and only if the displacement from is orthogonal to . This yields the equation .

The displacement from to , which is , and the displacement from to , which is , are both contained by so the cross product of these two displacements forms a candidate :

Any of , , and is a candidate . Let

The equation becomes
Let denote a plane that contains points , , and . Let denote an arbitrary vector that is orthogonal to , and denote the position vector of an arbitrary point contained by . A point at position vector is contained by if and only if the displacement from is orthogonal to . This yields the equation .

The displacement from to , which is , and the displacement from to , which is , are both contained by so the cross product of these two displacements forms a candidate :

Any of , , and is a candidate . Let

The equation becomes
161. Find an equation of a plane parallel to the plane 2xy+z=1 passing through the point (0,2,-2)
Let denote a plane that is parallel to the plane and contains the point . Let denote an arbitrary vector that is orthogonal to , and denote the position vector of an arbitrary point contained by . A point at position vector is contained by if and only if the displacement from is orthogonal to . This yields the equation .

Any vector that is orthogonal to is also orthogonal to and vice versa. Since , the coefficient vector is orthogonal to , so a candidate is .

Since point is contained by , let .

The equation becomes
Let denote a plane that is parallel to the plane and contains the point . Let denote an arbitrary vector that is orthogonal to , and denote the position vector of an arbitrary point contained by . A point at position vector is contained by if and only if the displacement from is orthogonal to . This yields the equation .

Any vector that is orthogonal to is also orthogonal to and vice versa. Since , the coefficient vector is orthogonal to , so a candidate is .

Since point is contained by , let .

The equation becomes
162. Find an equation of the line perpendicular to the plane x+y+2z=4 passing through the point (5,5,5).
Let denote an arbitrary plane. Let denote an arbitrary vector that is orthogonal to , and denote the position vector of an arbitrary point contained by . A point at position vector is contained by if and only if the displacement from is orthogonal to . This yields the equation . Therefore the equation that defines is .

The equation is equivalent to . This implies that the coefficient vector is orthogonal to the plane defined by . A line that passes through point and is parallel to is parameterized by:

Let denote an arbitrary plane. Let denote an arbitrary vector that is orthogonal to , and denote the position vector of an arbitrary point contained by . A point at position vector is contained by if and only if the displacement from is orthogonal to . This yields the equation . Therefore the equation that defines is .

The equation is equivalent to . This implies that the coefficient vector is orthogonal to the plane defined by . A line that passes through point and is parallel to is parameterized by:

163. Find an equation of the line where planes x+2yz=1 and x+y+z=1 intersect.
To describe the line that forms the intersection between and , both and will be expressed as functions of (it can also be the case that and are functions of , etc.). Let denote equation and denote equation .

To find as a function of subtract 2 times from to get

To find as a function of subtract from to get

Parameterizing with gives the parameterization
To describe the line that forms the intersection between and , both and will be expressed as functions of (it can also be the case that and are functions of , etc.). Let denote equation and denote equation .

To find as a function of subtract 2 times from to get

To find as a function of subtract from to get

Parameterizing with gives the parameterization
164. Find the angle between the planes x+2yz=1 and x+y+z=1.
Let denote an arbitrary plane. Let denote an arbitrary vector that is orthogonal to , and denote the position vector of an arbitrary point contained by . A point at position vector is contained by if and only if the displacement from is orthogonal to . This yields the equation . Therefore the equation that defines is .

Let be the plane described by and be the plane described by

Since , the coefficient vector is orthogonal to .

Since , the coefficient vector is orthogonal to .

The angle between and is equivalent to the angle between and :

Let denote an arbitrary plane. Let denote an arbitrary vector that is orthogonal to , and denote the position vector of an arbitrary point contained by . A point at position vector is contained by if and only if the displacement from is orthogonal to . This yields the equation . Therefore the equation that defines is .

Let be the plane described by and be the plane described by

Since , the coefficient vector is orthogonal to .

Since , the coefficient vector is orthogonal to .

The angle between and is equivalent to the angle between and :

165. Find the distance from the point (3,4,5) to the plane x+y+z=1.
Given a unit length vector , consider an axis oriented in the direction of . The " coordinate" is determined by orthogonally projecting points onto the axis. Given a position vector , the expression computes the coordinate.

The equation is equivalent to

Letting , the plane consists of all points whose coordinate is . The coordinate of is .

The distance between the plane and the point along the axis is

The distance is the distance between the point and plane along a direction that is orthogonal to the plane, and is hence the shortest distance.
Given a unit length vector , consider an axis oriented in the direction of . The " coordinate" is determined by orthogonally projecting points onto the axis. Given a position vector , the expression computes the coordinate.

The equation is equivalent to

Letting , the plane consists of all points whose coordinate is . The coordinate of is .

The distance between the plane and the point along the axis is

The distance is the distance between the point and plane along a direction that is orthogonal to the plane, and is hence the shortest distance.

Limits And Continuity

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Evaluate the following limits.

180.

181.

At what points is the function f continuous?

182.
183.
All points (x,y) except for (0,0) and the line y=x+1
All points (x,y) except for (0,0) and the line y=x+1

Use the two-path test to show that the following limits do not exist. (A path does not have to be a straight line.)

184.
The limit is 1 along the line y=x, and −1 along the line y=−x
The limit is 1 along the line y=x, and −1 along the line y=−x
185.
The limit is 0 along the line y=0, and along the line x=2y
The limit is 0 along the line y=0, and along the line x=2y
186.
The limit is 1 along the line y=0, and −1 along the line x=0
The limit is 1 along the line y=0, and −1 along the line x=0
187.
The limit is 0 along any line of the form y=mx, and 2 along the parabola
The limit is 0 along any line of the form y=mx, and 2 along the parabola

Partial Derivatives

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200. Find if
By repeatedly applying the chain rule:

By repeatedly applying the chain rule:

201. Find all three partial derivatives of the function

Find the four second partial derivatives of the following functions.

202.
The first derivatives are: and

The second derivatives are:

The first derivatives are: and

The second derivatives are:

203.
The first derivatives are: and

The second derivatives are:

The first derivatives are: and

The second derivatives are:

Chain Rule

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Find

220.
The single derivatives are:

; ; ; and

The chain rule gives:

The single derivatives are:

; ; ; and

The chain rule gives:

221.
The single derivatives are:

; ; ; and

The chain rule gives:

The single derivatives are:

; ; ; and

The chain rule gives:

222.
The single derivatives are:

; ; ; ; ; and

The chain rule gives:

The single derivatives are:

; ; ; ; ; and

The chain rule gives:

Find

223.
The single derivatives are:

; ; ; ; ; and

The chain rule gives:

and

Therefore:

and
The single derivatives are:

; ; ; ; ; and

The chain rule gives:

and

Therefore:

and
224.
The single derivatives are:

; ; ; ; ; ; ; ; and

The chain rule gives:

and

Therefore:

and
The single derivatives are:

; ; ; ; ; ; ; ; and

The chain rule gives:

and

Therefore:

and


225. The volume of a pyramid with a square base is , where x is the side of the square base and h is the height of the pyramid. Suppose that and for Find
The single derivatives are:

; ; ; and

The chain rule gives:

The single derivatives are:

; ; ; and

The chain rule gives:

Tangent Planes

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Find an equation of a plane tangent to the given surface at the given point(s).

240.
Start with a point that is on the surface. Perturbing the , , and coordinates by infinitesimal amounts , , and respectively, changes the value of by the infinitesimal amount , and the value of by . To remain in the surface it must be the case that .

To linearly extrapolate the condition to a tangent plane at , replace the infinitesimal perturbations , , and with large perturbations , , and to get . Any point in the tangent plane at can be reached by an appropriate choice of , , and where . Any point in the tangent plane at must satisfy .

The point lies in the surface, and the tangent plane is .

The point lies in the surface, and the tangent plane is .

The tangent planes are therefore:

Start with a point that is on the surface. Perturbing the , , and coordinates by infinitesimal amounts , , and respectively, changes the value of by the infinitesimal amount , and the value of by . To remain in the surface it must be the case that .

To linearly extrapolate the condition to a tangent plane at , replace the infinitesimal perturbations , , and with large perturbations , , and to get . Any point in the tangent plane at can be reached by an appropriate choice of , , and where . Any point in the tangent plane at must satisfy .

The point lies in the surface, and the tangent plane is .

The point lies in the surface, and the tangent plane is .

The tangent planes are therefore:

241.
Start with a point that is on the surface. Perturbing the , , and coordinates by infinitesimal amounts , , and respectively, changes the value of by the infinitesimal amount , and the value of by . To remain in the surface it must be the case that .

To linearly extrapolate the condition to a tangent plane at , replace the infinitesimal perturbations , , and with large perturbations , , and to get . Any point in the tangent plane at can be reached by an appropriate choice of , , and where . Any point in the tangent plane at must satisfy .

The point lies in the surface, and the tangent plane is .

The point lies in the surface, and the tangent plane is .

The tangent planes are therefore:

Start with a point that is on the surface. Perturbing the , , and coordinates by infinitesimal amounts , , and respectively, changes the value of by the infinitesimal amount , and the value of by . To remain in the surface it must be the case that .

To linearly extrapolate the condition to a tangent plane at , replace the infinitesimal perturbations , , and with large perturbations , , and to get . Any point in the tangent plane at can be reached by an appropriate choice of , , and where . Any point in the tangent plane at must satisfy .

The point lies in the surface, and the tangent plane is .

The point lies in the surface, and the tangent plane is .

The tangent planes are therefore:

242.
Start with a point that is on the surface. Perturbing the , , and coordinates by infinitesimal amounts , , and respectively, changes the value of by the infinitesimal amount , and the value of by . To remain in the surface it must be the case that .

To linearly extrapolate the condition to a tangent plane at , replace the infinitesimal perturbations , , and with large perturbations , , and to get . Any point in the tangent plane at can be reached by an appropriate choice of , , and where . Any point in the tangent plane at must satisfy .

The point lies in the surface, and the tangent plane is
Start with a point that is on the surface. Perturbing the , , and coordinates by infinitesimal amounts , , and respectively, changes the value of by the infinitesimal amount , and the value of by . To remain in the surface it must be the case that .

To linearly extrapolate the condition to a tangent plane at , replace the infinitesimal perturbations , , and with large perturbations , , and to get . Any point in the tangent plane at can be reached by an appropriate choice of , , and where . Any point in the tangent plane at must satisfy .

The point lies in the surface, and the tangent plane is
243.
Start with a point that is on the surface. Perturbing the , , and coordinates by infinitesimal amounts , , and respectively, changes the value of by the infinitesimal amount , and the value of by . To remain in the surface it must be the case that .

To linearly extrapolate the condition to a tangent plane at , replace the infinitesimal perturbations , , and with large perturbations , , and to get . Any point in the tangent plane at can be reached by an appropriate choice of , , and where . Any point in the tangent plane at must satisfy .

The point lies in the surface, and the tangent plane is
Start with a point that is on the surface. Perturbing the , , and coordinates by infinitesimal amounts , , and respectively, changes the value of by the infinitesimal amount , and the value of by . To remain in the surface it must be the case that .

To linearly extrapolate the condition to a tangent plane at , replace the infinitesimal perturbations , , and with large perturbations , , and to get . Any point in the tangent plane at can be reached by an appropriate choice of , , and where . Any point in the tangent plane at must satisfy .

The point lies in the surface, and the tangent plane is

Maximum And Minimum Problems

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Find critical points of the function f. When possible, determine whether each critical point corresponds to a local maximum, a local minimum, or a saddle point.

How to find local minimums, local maximums, and saddle points for a function with an unconstrained domain.

Start with a candidate point , and envision that the and coordinates are changing at rates of and respectively: and . The rate of change in is .

  • is a local minimum only if for all . This occurs iff .
  • is a local maximum only if for all . This occurs iff .

Points where are "critical points" and may contain a local minimum, a local maximum, or a saddle point. It is then needed to classify the critical point.

The second derivative is .

  • A critical point is a local minimum iff for all .
  • A critical point is a local maximum iff for all .
  • A critical point that is neither a local minimum nor a local maximum is a saddle point.

While it will not be shown here, can attain both positive and negative values iff .

  • A critical point is a local minimum if and
  • A critical point is a local maximum if and
  • A critical point is a saddle point if

The quantity will be called the "discriminant".

260.
The first order derivatives are: and . Finding the critical points is done by solving the equations

. Substituting in place of in the first equation gives . This gives the critical points .

The second order derivatives are ; ; and . The discriminant is: .

For critical point , the discriminant is and so is a local minimum.

For critical point , the discriminant is so is a saddle point.

For critical point , the discriminant is and so is a local minimum.

Local minima at (1,1) and (−1,−1), saddle at (0,0)
The first order derivatives are: and . Finding the critical points is done by solving the equations

. Substituting in place of in the first equation gives . This gives the critical points .

The second order derivatives are ; ; and . The discriminant is: .

For critical point , the discriminant is and so is a local minimum.

For critical point , the discriminant is so is a saddle point.

For critical point , the discriminant is and so is a local minimum.

Local minima at (1,1) and (−1,−1), saddle at (0,0)
261.
The first order derivatives are: and . Finding the critical points is done by solving the equations

and . So the only critical point is .

The second order derivatives are ; ; and . The discriminant is

For the critical point , the discriminant is so is a saddle point.

Saddle at (0,0)
The first order derivatives are: and . Finding the critical points is done by solving the equations

and . So the only critical point is .

The second order derivatives are ; ; and . The discriminant is

For the critical point , the discriminant is so is a saddle point.

Saddle at (0,0)
262.
The first order derivatives are: and . Finding the critical points is done by solving the equations

. The critical points are .

The second order derivatives are: ; ; and . The discriminant is .

For critical point , the discriminant is so is a saddle point.

For critical points and , the discriminant is and so and are local maximums.

For critical points and , the discriminant is and so and are local minimums.

Saddle at (0,0), local maxima at local minima at
The first order derivatives are: and . Finding the critical points is done by solving the equations

. The critical points are .

The second order derivatives are: ; ; and . The discriminant is .

For critical point , the discriminant is so is a saddle point.

For critical points and , the discriminant is and so and are local maximums.

For critical points and , the discriminant is and so and are local minimums.

Saddle at (0,0), local maxima at local minima at

Find absolute maximum and minimum values of the function f on the set R.

How to find candidate points for the absolute minimum and maximum of a function with a constrained domain.

Let denote the function for which the absolute minimum and maximum is sought. Let the domain be constrained to all points where where is an appropriate function over .

Start with a candidate point where , and envision that the and coordinates are changing at rates of and respectively: and . The rate of change in is . Since it is required that , it must be the case that .

is a local minimum or maximum only if for all where . This occurs iff the gradient is parallel to the gradient . This condition can be quantified by where factor is a "Lagrange multiplier".

Points where and for some are candidate points for the absolute minimum or maximum. If the domain has any corners, then these corners are also candidate points.

263.
Candidate points will be derived from two sources: Critical points of the function assuming an unconstrained domain, and candidate points assuming the restriction .

The first order derivatives of are and , so the only critical point where occurs at . This critical point lies in so it remains a valid candidate. .

The first order derivatives of are and . Candidate points assuming the restriction must satisfy for some . These equations are equivalent to . If , then the only restriction left on is and . This gives two candidate points . If , then which is never true. Hence the only valid candidate points derived by restricting the domain to are . and .

In total, the candidates are , , and .

The absolute minimum of occurs at , and the absolute maximum of occurs at .

Maximum of 9 at (0,−2) and minimum of 0 at (0,1)
Candidate points will be derived from two sources: Critical points of the function assuming an unconstrained domain, and candidate points assuming the restriction .

The first order derivatives of are and , so the only critical point where occurs at . This critical point lies in so it remains a valid candidate. .

The first order derivatives of are and . Candidate points assuming the restriction must satisfy for some . These equations are equivalent to . If , then the only restriction left on is and . This gives two candidate points . If , then which is never true. Hence the only valid candidate points derived by restricting the domain to are . and .

In total, the candidates are , , and .

The absolute minimum of occurs at , and the absolute maximum of occurs at .

Maximum of 9 at (0,−2) and minimum of 0 at (0,1)
264. R is a closed triangle with vertices (0,0), (2,0), and (0,2).
Triangle is defined by the constraints , , and .

Candidate points for the absolute minimum and maximum will be derived from 5 sources:

  • Critical points of the function assuming an unconstrained domain.
  • Candidate points assuming the restriction .
  • Candidate points assuming the restriction .
  • Candidate points assuming the restriction .
  • The vertex points .

The first order derivatives of are and , so the only critical point where is . The critical point lies in so it remains a valid candidate. .

The first order derivatives of are and . Candidate points assuming the restriction must satisfy for some . These equations are equivalent to . This yields the candidate point . Point lies in so it remains a valid candidate. .

The first order derivatives of are and . Candidate points assuming the restriction must satisfy for some . These equations are equivalent to . This yields the candidate point . Point lies in so it remains a valid candidate. .

The first order derivatives of are and . Candidate points assuming the restriction must satisfy for some . The second equation yields . Substituting in place of in the third equation gives . Substituting in place of in the first equation gives , which then yields and . This yields the candidate point . Point lies in so it remains a valid candidate. .

Finally, we add the vertices to the lineup of candidate points.

Evaluating at each candidate point gives ; ; ; ; ; and . The absolute minimum of occurs at , while the absolute maximum of occurs at all of .

Maximum of 0 at (2,0), (0,2), and (0,0); minimum of −2 at (1,1)
Triangle is defined by the constraints , , and .

Candidate points for the absolute minimum and maximum will be derived from 5 sources:

  • Critical points of the function assuming an unconstrained domain.
  • Candidate points assuming the restriction .
  • Candidate points assuming the restriction .
  • Candidate points assuming the restriction .
  • The vertex points .

The first order derivatives of are and , so the only critical point where is . The critical point lies in so it remains a valid candidate. .

The first order derivatives of are and . Candidate points assuming the restriction must satisfy for some . These equations are equivalent to . This yields the candidate point . Point lies in so it remains a valid candidate. .

The first order derivatives of are and . Candidate points assuming the restriction must satisfy for some . These equations are equivalent to . This yields the candidate point . Point lies in so it remains a valid candidate. .

The first order derivatives of are and . Candidate points assuming the restriction must satisfy for some . The second equation yields . Substituting in place of in the third equation gives . Substituting in place of in the first equation gives , which then yields and . This yields the candidate point . Point lies in so it remains a valid candidate. .

Finally, we add the vertices to the lineup of candidate points.

Evaluating at each candidate point gives ; ; ; ; ; and . The absolute minimum of occurs at , while the absolute maximum of occurs at all of .

Maximum of 0 at (2,0), (0,2), and (0,0); minimum of −2 at (1,1)


Finding the locations and shortest distances between two surfaces.

Consider two surfaces and in 3D space defined by the equations and respectively. Given a point from and a point from , if and are the points that minimize the distance between and , then it must be the case that the displacement is perpendicular to both surfaces. The gradient vector is orthogonal to , and the gradient vector is orthogonal to . The displacement vector must be parallel to both gradient vectors: for some and .

Candidate points for the shortest distance between two surfaces must satisfy the following 8 equations: for some and .

265. Find the point on the plane xy+z=2 closest to the point (1,1,1).
The plane is defined by the equation , and a normal vector to the plane is . The closest point on the plane to the point is the point where the displacement is parallel to . The following equations must be satisfied: .

The second equation gives , and replacing with in the third and forth equations gives and respectively. In the first equation, replacing with and with gives . This gives in turn and .

The only candidate point for the closest distance is , so therefore the point on the plane that is closest to the point is .
The plane is defined by the equation , and a normal vector to the plane is . The closest point on the plane to the point is the point where the displacement is parallel to . The following equations must be satisfied: .

The second equation gives , and replacing with in the third and forth equations gives and respectively. In the first equation, replacing with and with gives . This gives in turn and .

The only candidate point for the closest distance is , so therefore the point on the plane that is closest to the point is .
266. Find the point on the surface closest to the plane
The surface is defined by the equation , and the plane is defined by the equation . Given a point from the surface and a point from the plane, these two points are closest to each other only if (but not always if) the displacement vector is a parallel to the surface normal vector and the plane normal vector . There must exist factors and such that the following 8 equations hold:

The fifth equation is equivalent to , and the eighth equation is equivalent to . Eliminating via substitution and in all of the other equations gives:

If , then and , and then and are the same point which corresponds to an intersection between the surface and the plane. While it will not be shown here, it is relatively simple to show that the surface and plane fail to intersect. Excluding the possibility that , the equations and together imply that ; and the equations and together imply that . The values and give . Hence the point on the surface that is closest to the plane is .

From and , it follows that and . In the equation , eliminating and via substitution gives . Hence and . The corresponding closest point on the plane is .

The closest point on the surface is .
The surface is defined by the equation , and the plane is defined by the equation . Given a point from the surface and a point from the plane, these two points are closest to each other only if (but not always if) the displacement vector is a parallel to the surface normal vector and the plane normal vector . There must exist factors and such that the following 8 equations hold:

The fifth equation is equivalent to , and the eighth equation is equivalent to . Eliminating via substitution and in all of the other equations gives:

If , then and , and then and are the same point which corresponds to an intersection between the surface and the plane. While it will not be shown here, it is relatively simple to show that the surface and plane fail to intersect. Excluding the possibility that , the equations and together imply that ; and the equations and together imply that . The values and give . Hence the point on the surface that is closest to the plane is .

From and , it follows that and . In the equation , eliminating and via substitution gives . Hence and . The corresponding closest point on the plane is .

The closest point on the surface is .

Double Integrals over Rectangular Regions

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Evaluate the given integral over the region R.

280.
281.
282.

Evaluate the given iterated integrals.

283.
284.

Double Integrals over General Regions

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Evaluate the following integrals.

300. R is bounded by x=0, y=2x+1, and y=5−2x.
301. R is in the first quadrant and bounded by x=0, and

Use double integrals to compute the volume of the given region.

302. The solid in the first octant bound by the coordinate planes and the surface
303. The solid beneath the cylinder and above the region
304. The solid bounded by the paraboloids and

Double Integrals in Polar Coordinates

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320. Evaluate for
321. Find the average value of the function over the region
322. Evaluate
323. Evaluate if R is the unit disk centered at the origin.

Triple Integrals

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340. Evaluate

In the following exercises, sketching the region of integration may be helpful.

341. Find the volume of the solid in the first octant bounded by the plane 2x+3y+6z=12 and the coordinate planes.
342. Find the volume of the solid in the first octant bounded by the cylinder for , and the planes y=x and x=0.
343. Evaluate
344. Rewrite the integral in the order dydzdx.

Cylindrical And Spherical Coordinates

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360. Evaluate the integral in cylindrical coordinates:
361. Find the mass of the solid cylinder given the density function
362. Use a triple integral to find the volume of the region bounded by the plane z=0 and the hyperboloid
363. If D is a unit ball, use a triple integral in spherical coordinates to evaluate
364. Find the mass of a solid cone if the density function is
365. Find the volume of the region common to two cylinders:

Center of Mass and Centroid

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380. Find the center of mass for three particles located in space at (1,2,3), (0,0,1), and (1,1,0), with masses 2, 1, and 1 respectively.
381. Find the center of mass for a piece of wire with the density for
382. Find the center of mass for a piece of wire with the density for
383. Find the centroid of the region in the first quadrant bounded by the coordinate axes and
384. Find the centroid of the region in the first quadrant bounded by , , and .
385. Find the center of mass for the region , with the density
386. Find the center of mass for the triangular plate with vertices (0,0), (0,4), and (4,0), with density

Vector Fields

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One can sketch two-dimensional vector fields by plotting vector values, flow curves, and/or equipotential curves.

401. Find and sketch the gradient field for the potential function .
402. Find and sketch the gradient field for the potential function for and .
403. Find the gradient field for the potential function

Line Integrals

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420. Evaluate if C is the line segment from (0,0) to (5,5)
421. Evaluate if C is the circle of radius 4 centered at the origin
422. Evaluate if C is the helix
423. Evaluate if and C is the arc of the parabola
424. Find the work required to move an object from (1,1,1) to (8,4,2) along a straight line in the force field

Conservative Vector Fields

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Determine if the following vector fields are conservative on

440.
No
No
441.
Yes
Yes

Determine if the following vector fields are conservative on their respective domains in When possible, find the potential function.

442.
443.

Green's Theorem

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460. Evaluate the circulation of the field over the boundary of the region above y=0 and below y=x(2-x) in two different ways, and compare the answers.
461. Evaluate the circulation of the field over the unit circle centered at the origin in two different ways, and compare the answers.
462. Evaluate the flux of the field over the square with vertices (0,0), (1,0), (1,1), and (0,1) in two different ways, and compare the answers.

Divergence And Curl

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480. Find the divergence of
481. Find the divergence of
482. Find the curl of
483. Find the curl of
484. Prove that the general rotation field , where is a non-zero constant vector and , has zero divergence, and the curl of is .
If , then

, and then

If , then

, and then

Surface Integrals

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500. Give a parametric description of the plane
501. Give a parametric description of the hyperboloid
502. Integrate over the portion of the plane z=2−xy in the first octant.
503. Integrate over the paraboloid
504. Find the flux of the field across the surface of the cone
with normal vectors pointing in the positive z direction.
505. Find the flux of the field across the surface
with normal vectors pointing in the positive y direction.

Stokes' Theorem

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520. Use a surface integral to evaluate the circulation of the field on the boundary of the plane in the first octant.
521. Use a surface integral to evaluate the circulation of the field on the circle
522. Use a line integral to find
where , is the upper half of the ellipsoid , and points in the direction of the z-axis.
523. Use a line integral to find
where , is the part of the sphere for , and points in the direction of the z-axis.

Divergence Theorem

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Compute the net outward flux of the given field across the given surface.

540. , is a sphere of radius centered at the origin.
541. , is the boundary of the tetrahedron in the first octant bounded by
542. , is the boundary of the cube
543. , is the surface of the region bounded by the paraboloid and the xy-plane.
544. , is the boundary of the region between the concentric spheres of radii 2 and 4, centered at the origin.
545. , is the boundary of the region between the cylinders and and cut off by planes and