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.
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.
43. The region inside the petals of the rose
and outside the circle
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
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
Find and
80.
and
81.
and
Find the area of the parallelogram with sides and .
82.
and
83.
and
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.
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
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
.
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
T⋅
N=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 2x−y+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+2y−z=1 and x+y+z=1 intersect.
164. Find the angle between the planes x+2y−z=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?
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
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
200. Find
if
201. Find all three partial derivatives of the function
Find the four second partial derivatives of the following functions.
202.
203.
Find
220.
221.
222.
Find
223.
224.
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
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 x−y+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.
Double Integrals over General Regions
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Evaluate the following integrals.
300.
R is bounded by
x=0,
y=2
x+1, and
y=5−2
x.
301.
R is in the first quadrant and bounded by
x=0,
and
Use double integrals to compute the volume of the given region.
Double Integrals in Polar Coordinates
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323. Evaluate
if
R is the unit disk centered at the origin.
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.
344. Rewrite the integral
in the order
dydzdx.
Cylindrical And Spherical Coordinates
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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
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.
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
One can sketch two-dimensional vector fields by plotting vector values, flow curves, and/or equipotential curves.
402. Find and sketch the gradient field
for the potential function
for
and
.
403. Find the gradient field
for the potential function
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
Conservative Vector Fields
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Determine if the following vector fields are conservative on
440.
441.
Determine if the following vector fields are conservative on their respective domains in When possible, find the potential function.
442.
443.
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.
482. 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
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−
x−
y in the first octant.
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.
520. Use a surface integral to evaluate the circulation of the field
on the boundary of the plane
in the first octant.
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.
Compute the net outward flux of the given field across the given surface.
540.
,
is a sphere of radius
centered at the origin.
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