Chapter 12. Vector Valued Functions
12.1 Vector-Valued Functions and Space Curves
12.2 Calculus of Vector Functions
*12.4 Motion Along A Space Curve: Velocity and Acceleration
Calculus
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Chapter 12. Vector Valued Functions
12.1 Vector-Valued Functions and Space Curves http://youtu.be/0pvywjBjsQw
문제풀이 by 최양현 http://youtu.be/jvMI6OzdR_I
12.2 Calculus of Vector Functions
문제풀이 by 김동윤 http://youtu.be/VS5rPyOjP2I
12.3 Arc Length and Curvature
*12.4 Motion Along A Space Curve: Velocity and Acceleration
12.1 Vector-Valued Functions and Space Curves
A vector-valued function, or simply a vector function, assigns to each element in the set of real numbers an element in the set of vectors. We will consider vector functions in three-dimensional vector space. This means that a vector function on ℝ is a function
. These specific types of vector functions are denoted by expressions such as
where ,
and
are real-valued functions called the component functions of the vector
. The domain of a vector function
is the intersection of the domains of the component functions
,
and
. Often we imagine
to be the time and
to be the position of a moving particle at time
.
Example 1
If ,
,
, then the component functions are
,
and
, the domain of
is the interval
. ■
DEFINITION 1 Limit of a Vector Function
A vector function approaches to the limit
as
approaches to
, written
, provided
.
Another way of defining the limit is as follows:
if and only if for every
there is a number
such that
whenever
.
THEOREM 2
Let be a vector function. Then a vector
is the limit of a vector function
as
if and only if
,
and
.
Proof. Suppose that
iff
.
iff
iff
iff .
In particular, . The limit of a vector function
is determined by computing the limits of its components. ■
exists iff limits of component functions exist.
Example 2
If , then find
.
Solution. ■
Rules of limits of vector functions are the same as rules of limits of real-valued functions. We mentioned the following properties.
THEOREM 2 Rules of Limits
Let and
be vector functions and
be a constant. Let
and
be real-functions. Suppose that
,
and
exist and
. Then we have the following properties of limits:
(i)
(ii)
(iii)
(iv)
(v)
(vi)
All these properties can be easily proof ed by taking the limit of the corresponding functions.
DEFINITION 4 Continuity
A vector function is said to be continuous at
if
(i) is defined
(ii) exists
(iii) .
In view of Definition 1, one can easily show that is continuous at
if and only if its component functions
,
, and
are continuous at
.
DEFINITION 5 Continuity
Let ,
and
be continuous real-valued functions on an interval
. A space curve is the set
of all points
in space, where
,
,
and varies throughout the interval
. These equations are called parametric equations of
and
is called a parameter.
We think of as being traced out by a moving particle whose position at time
is
. The vector
from the origin to the particle’s position at time
is the particle’s position vector. Thus, any continuous vector function
defines a space curve
that is traced out by the tip of the moving vector
, as shown in Figure 1.
Figure 1
Example 3
Describe the curve defined by the vector function
.
Solution. The corresponding parametric equations are
,
,
.
These equations are parametric equations of a line passing through the point and parallel to the vector
. Alternatively, we could observe that the function
can be written as
, where
and
. ■
Plane curves can also be described in vector notation. For instance, the curve given by the parametric equations and
can also be described by the vector equation
,
where and
. We recognize this as the equation of a parabola with vertex at
.
Example 4
Sketch the curve whose vector equation is
.
Solution. The parametric equations for this curve are
,
,
.
Figure 2
The curve must lie on the circular cylinder , because the
-coordinate and
-coordinate of the tip of
satisfy the cylinder’s equation
.
The point lies directly above the point
, which moves counterclockwise around the circle
in the
-plane. The curve spirals upward around the cylinder as
increases. That is, each time
increases by
, the curve completes one turn around the cylinder. The curve, shown in Figure 2, is called a helix. ■
http://matrix.skku.ac.kr/cal-lab/cal-12-1-Exmaple-4.html
var('x,y,z,t')
r=vector([cos(t),sin(t),2*t])
s=implicit_plot3d(x^2+y^2==1,(x,-3,3),(y,-3,3),(z,0,4*pi),color='goldenrod',opacity=0.2)
c=parametric_plot3d([cos(t),sin(t),2*t],(t,0,2*pi),color='green')
t1=pi/4
t2=2*pi/3
t3=4*pi/3
t4=5*pi/2
Dt=0.1
Ar1=arrow3d(r(t=t1),r(t=t1+Dt),color='green')
Ar2=arrow3d(r(t=t2),r(t=t2+Dt),color='green')
Ar3=arrow3d(r(t=t3),r(t=t3+Dt),color='green')
Ar4=arrow3d(r(t=t4),r(t=t4+Dt),color='green')
s+c+Ar1+Ar2+Ar3+Ar4
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Example 5
Find a vector equation and parametric equations for the line segment that joins the point to the point
.
Solution. We know that the vector equation for the line segment joining the tips of the vectors and
and oriented from
to
is given by
,
.
Here we take and
to obtain a vector equation of the line segment from
to
. Thus
,
.
The corresponding parametric equations are
,
,
,
. ■
Example 6
Find a vector equation that represents the curve of intersection of the cylinder and the plane
.
http://matrix.skku.ac.kr/cal-lab/cal-12-1-Exmaple-6.html
Solution. Figure 3 shows how the plane and the cylinder intersect, and Figure 4 shows the curve of intersection , which is an ellipse.
Figure 3 Figure 4
The projection of onto the
-plane is the circle
,
. So we can write
,
,
.
From the equation of the plane, we have
.
So we can write parametric equations for as
,
,
,
.
The corresponding vector equation is
,
.
This equation is called a parameterization of the curve . The arrows in Figure 3 indicate the direction in which
is traced as the parameter
increases. ■
Example 7
Find a vector function that represents the curve of intersection of the cylinder and the surface
.
http://matrix.skku.ac.kr/cal-lab/cal-13-1-Exm7.html
Solution. Let ,
. Then
Figure 5
The answer is .
Figure 5 illustrates the Vector Function.
x, y, z=var('x, y, z')
p1=implicit_plot3d(x^2+y^2-5==0, (x, -3, 3), (y, -3, 3), (z, -3, 3),
rgbcolor='orange', opacity=0.5)
p2=implicit_plot3d(x*y-z==0, (x, -3, 3), (y, -3, 3),
(z, -3, 3), rgbcolor='green', opacity=0.5)
show(p1+p2)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
A vector function that represents the curve of their intersection is .
var('t')
x1=sqrt(5) *cos(t)
y1=sqrt(5) *sin(t)
z1=5*sin(t) *cos(t)
p3=parametric_plot3d((x1, y1, z1), (t, 0, 2*pi), rgbcolor='blue')
show(p3)
■
http://matrix.skku.ac.kr/cal-lab/cal-12-1-Rotations.html
http://matrix.skku.ac.kr/cal-lab/cal-12-1-Rotations-A.html
http://matrix.skku.ac.kr/cal-lab/cal-12-1-Rotations-B.html
Many surfaces are obtained by revolving a plane curve about various axes. For example if the upper semi-circle with
and
is rotated about the
-axis, we get the sphere. We can easily write a parametrization of such surfaces. If we take a curve
on an interval
. Then we think of this as a curve in
-plane.
12.1 EXERCISES (Vector-Valued Functions and Space Curves)
http://matrix.skku.ac.kr/Cal-Book/part2/CS-Sec-12-1-Sol.html
1-2. Find the domain of the vector functions.
1. .
Solution. .
2. .
Solution. and
. Thus
and
.
3-5. Find the limit.
3. .
http://matrix.skku.ac.kr/cal-lab/cal-13-1-3.html
Solution.
var('t')
(limit(sin(t)/t, t=0), limit(cos(t), t=0), limit(t*ln(t), t=0))
Answer : (1, 1, 0)
4. .
5. .
6-9. Sketch curves with the given vector equations. Indicate with an arrow the direction in which increases.
6. .
http://matrix.skku.ac.kr/cal-lab/cal-13-1-Exs-6.html
Solution.
var('t')
r=vector([cos(2*t),sin(3*t),t])
a=0
b=2*pi
C=parametric_plot3d(r,(t,a,b),color='green',thickness=2)
t1=pi/10
Dt=0.1
t2=2*pi/3
t3=5*pi/3
Ar1=arrow3d(r(t=t1),r(t=t1+Dt),color='green')
Ar2=arrow3d(r(t=t2),r(t=t2+0.05),color='green')
Ar3=arrow3d(r(t=t3),r(t=t3+Dt),color='green')
C+Ar1+Ar2+Ar3
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
7. .
http://matrix.skku.ac.kr/cal-lab/cal-13-1-Exs-7.html
Solution.
var('t')
r=vector([t^2,t,t^3])
a=0
b=2*pi
C=parametric_plot3d(r,(t,a,b),color='green',thickness=2)
t1=pi/10
Dt=0.1
t2=2*pi/3
t3=5*pi/3
Ar1=arrow3d(r(t=t1),r(t=t1+Dt),color='green',thickness=4)
Ar2=arrow3d(r(t=t2),r(t=t2+0.05),color='green',thickness=4)
Ar3=arrow3d(r(t=t3),r(t=t3+Dt),color='green',thickness=4)
C+Ar1+Ar2+Ar3
8. .
http://matrix.skku.ac.kr/cal-lab/cal-13-1-Exs-8.html
Solution.
var('t')
r=vector([t,t,sin(t)])
a=0
b=2*pi
C=parametric_plot3d(r,(t,a,b),color='green',thickness=2)
t1=pi/10
Dt=0.1
t2=2*pi/3
t3=5*pi/3
Ar1=arrow3d(r(t=t1),r(t=t1+Dt),color='green',thickness=4)
Ar2=arrow3d(r(t=t2),r(t=t2+0.05),color='green',thickness=4)
Ar3=arrow3d(r(t=t3),r(t=t3+Dt),color='green',thickness=4)
C+Ar1+Ar2+Ar3
9. .
http://matrix.skku.ac.kr/cal-lab/cal-13-1-Exs-9.html
Solution.
var('t')
x(t)=t^2*cos(t);y(t)=t^2*sin(t);z(t)=sin(t);r(t)=(x(t), y(t), z(t))
dr(t)=(diff(x(t), t), diff(y(t), t, ), diff(z(t), t));
t0=2
p1=r(t0)
p2=dr(t0)/abs(dr(t0))+r(t0)
p=parametric_plot3d((x(t), y(t), z(t)), (t, 1, 5))
utv=line3d([p1, p2], rgbcolor=(1, 0, 0), arrow_head=True, thickness=3)
show(p+utv)
10-11. Find vector equations and parametric equations for the line segment to
.
10. ,
.
Solution. ,
.
11. ,
.
Solution. ,
.
12. Show that the curve with parametric equation ,
,
lies on the cone
.
http://matrix.skku.ac.kr/cal-lab/cal-13-1-12.html
Solution. We have .
var('x, y, z, t')
p1=parametric_plot3d((t^2*cos(t), t^2*sin(t), t^2), (t, -pi, pi), color='red')
p2=implicit_plot3d(z^2==x^2+y^2, (x, -10, 10), (y, -10, 10), (z, 0, 30), color='yellow', opacity=0.5)
show(p1+p2)
We can see that the curve (red) lies on the cone (yellow).
13. Show that the curve with parametric equations ,
,
is the curve of intersection of the surfaces
and
.
http://matrix.skku.ac.kr/cal-lab/cal-13-1-13.html
Solution.
var('x, y, z, t')
p1=parametric_plot3d((2*sin(t), 2*cos(t), t^2), (t, -pi, pi), color='red');
p2=plot3d(x^2/4, (x, -2, 2), (y, -2, 2), color='green', opacity=0.5)
p3=implicit_plot3d(x^2+y^2==4, (x, -2, 2), (y, -2, 2), (z, -2, 2), color='yellow', opacity=0.5)
show(p1+p2+p3)
We can see that the curve (red) is intersection of two surfaces (yellow, green).
14. Graph the curve with parametric equations
,
,
.
http://matrix.skku.ac.kr/cal-lab/cal-13-1-14.html
Solution.
var('t')
parametric_plot3d(((1+sin(4*t))*cos(t), (1+sin(4*t))*sin(t), (1+sin(4*t))), (t, -2*pi, 2*pi))
15. Show that the curve with parametric equations
,
,
passes through the points
and
but not through the point
.
Solution. If ,
, and if
,
. So, it passes through the points
and
. But, y-axis of the curve cannot be negative, so it does not pass through
.
16-18. Find vector functions that represent the curves of intersection of the two surfaces.
16. The cylinder and the surface
.
http://matrix.skku.ac.kr/cal-lab/cal-13-1-16.html
Solution. Let ,
. Then
.
So,,
is the vector function of intersection of two surfaces.
var('x, y, z, t')
p1=parametric_plot3d((sqrt(7)*cos(t), sqrt(7)*sin(t), 7*sin(2*t)), (t, -pi, pi), color='red');
p2=plot3d(2*x*y, (x, -3, 3), (y, -3, 3), color='green', opacity=0.5);
p3=implicit_plot3d(x^2+y^2==7, (x, -3, 3), (y, -3, 3), (z, -3, 30), color='yellow', opacity=0.5);
show(p1+p2+p3);
See the graph.
17. The planes and
.
http://matrix.skku.ac.kr/cal-lab/cal-13-1-17.html
Solution. Let . Then
,
.
Subtracting two equations, , so we have
.
Substituting it to first equation,
, so
.
So, is the vector function of intersection of two planes.
var('x, y, z, t')
p1=parametric_plot3d((t, (t-10)/7, 15*(t-3)/14), (t, -3, 3), color='red');
p2=implicit_plot3d(3*x-6*y-2*z==15, (x, -3, 3), (y, -3, 3), (z, -21, 6), color='green', opacity=0.5)
p3=implicit_plot3d(2*x+y-2*z==5, (x, -3, 3), (y, -3, 3), (z, -21, 6), color='yellow', opacity=0.5)
show(p1+p2+p3)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
See the graph.
18.The paraboloid and the parabolic cylinder
.
http://matrix.skku.ac.kr/cal-lab/cal-13-1-18.html
Solution. Put . Then
, and
.
So, is the vector function of intersection of two surfaces.
We can see the answer is correct by drawing the graph of surfaces and vector function.
var('x, y, z, t')
p1=parametric_plot3d((t^2, t, t^4+4*t^2), (t, -sqrt(3), sqrt(3)), color='red')
p2=plot3d(x^2+4*y^2, (x, -3, 3), (y, -3, 3), color='green', opacity=0.5)
p3=implicit_plot3d(x-y^2==0, (x, -3, 3), (y, -3, 3), (z, -3, 45), color='yellow', opacity=0.5)
show(p1+p2+p3)
19. If two objects travel through space along two different curves, it is important to know whether they will collide (Will a missile hit its moving target? Will two aircraft collide?) The curves might intersect, but we need to know whether the objects are in the same position at the same time. Suppose the trajectories of two particles are given by the vector functions.
,
for
.
Do the particles collide?
Solution. Two particles collide means has a solution. But for the second coordinate,
. Hence
has no real root, and hence there would be no collisions.
20.Two particles travel along the space curves
,
.
Do the particles collide? Do their paths intersect?
http://matrix.skku.ac.kr/cal-lab/cal-13-1-20.html
Solution. The first coordinate of the two particles cannot be the same, and hence there would be no collisions.
To see if there is an intersection, we draw a graph of and
.
var('t')
p1=parametric_plot3d((t, t^2, t^3), (t, -5, 5), color='red')
p2=parametric_plot3d((1+t,2+5*t,3+12*t),(t,-5, 5));
show(p1+p2)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
By rotating the resultant graph, we can see one intersection.
12.2 Calculus of Vector Functions
In this section, we introduce differentiation and integration of vector functions.
Derivatives
The derivative of a vector function at a point
can be defined in exactly same way as for one variable functions.
DEFINITION 1 Derivative of a Vector Function
The derivative of a vector function is
for all for which the limit exists.
The next theorem gives us a way for computing the derivative of a vector function .
THEOREM 2 Differentiation
If , then
is differentiable at
, if
,
and
are differentiable at
. Moreover,
.
Proof.Note that
.
By Theorem 2 of Section 12.1, exists if and only if
,
and
exists.
This proves that is differentiable if and only if
,
and
are differentiable. Also
. ■
A vector function is differentiable if it is differentiable at every point of its domain. The second derivative of a vector function
is the derivative of
, that is,
. Higher order derivatives of
may be defined in a similar way.
Example 1
Find the second derivative of .
Solution. The first derivative of is
.
The second derivative of is
. ■
The curve traced by is smooth if
is continuous and never 0; that is, if
,
and
have continuous first derivatives that are not simultaneously 0. A curve that is made up of a finite number of smooth curves is called piecewise smooth.
Example 2
Determine whether the semicubical parabola is smooth.
Solution. Since , we have
and therefore, the curve is not smooth. The point that corresponds to
is
, and we see from the graph in Figure 1 that there is a sharp corner at (1, 0). Any curve with this type of behavior,an abrupt change in direction,is not smooth.
Figure 1 The curve is not smooth.
■
(a) The secant vector (b) The tangent vector
Figure 2
The geometric significance of the definition of derivative is shown in Figure 2. The points and
have position vectors
and
, and the vector
is represented by the vector
. For
, the scalar multiple
has the same direction as the vector
. As
the vector
approaches a vector that is tangent to the curve at
. The vector
is called the tangent vector to the curve defined by
at the point
, provided that
exists and
. The tangent line to
at
is defined to be the line through
parallel to the tangent vector
. Look at the sage worksheet which gives a geometric meaning of
as the limit of the difference quotient
.
For a vector , we want to find a tangent vector at
. (See Figure 3.) It is a behavior of tangent vectors as
values near
. ■
http://matrix.skku.ac.kr/cal-lab/cal-12-2-Exm-2.html
t=var('t')
r=vector((cos(t),sin(2*t),t))
rprime=diff(r,t)
a=0.6
p = parametric_plot3d(r,(t,0,2),color='red',thickness=3)+point3d(r(t=a),size=15)
p = p + sum([arrow3d(r(t=a),r(t=a)+(r(t=a+h)-r(t=a))/h,width=0.3) for h in [0.01..1,step=0.1]])
p = p + arrow3d(r(t=a),r(t=a)+rprime(t=a),color='green',width=0.5)
show(p)
Figure 3
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
DEFINITION 3 Unit Tangent Vector
Let be a smooth parameterized curve.
If , then the unit tangent vector of
is
.
Example 3
Find the unit tangent vector of at the point
.
Solution. According to Theorem 2, we differentiate each component of :
.
Since and
, the unit tangent vector at the point
is
. ■
Example 4
For the curve , find
and sketch the position vector
and the tangent vector
.
Solution.We have and
. The curve is a plane curve and elimination of the parameter from the equations
,
gives
. In Figure 4, we draw the position vector
starting at the origin and the tangent vector
starting at the corresponding point
. ■
Figure 4
Example 5
Find parametric equations for the tangent line to the helix with parametric equations ,
,
at
.
Solution. The vector equation of the helix is ,
,
.
Hence . At
, the corresponding point is
, so the tangent vector, at
is
. The tangent line is the line through
parallel to the vector
. Hence its parametric equations are
,
,
. ■
Figure 5
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
The following are the standard properties of derivatives of vector function.
THEOREM 4 Rules of Differentiation
Suppose that and
are differentiable vector functions,
is a scalar, and
is a differentiable real-valued function. Then
(ⅰ)
(ⅱ)
(ⅲ)
(ⅳ)
(ⅴ)
(ⅵ) (Chain Rule).
We will prove (ⅳ) and leave the remaining proofs as exercises.
Proof. Let and
.
Then, by the product rule
. ■
Example 6
Find and
, where
,
.
Solution. Since ,
.
And since ,
. ■
THEOREM 5
If is a vector function and
, where
is a constant for all
, then
,
that is, and
are orthogonal vectors for all
.
Proof. We recall that . It follows from Formula (iv) of Theorem 4 that
.
Then , which says that
is orthogonal to
. ■
Figure 6
Geometrically, Theorem 5 says that if a curve lies on a sphere with center at origin, then the tangent vector is always perpendicular to the radial vector
. (See Figure 6.)
Example 7
Find the derivative of the vector function.
.
http://matrix.skku.ac.kr/cal-lab/cal-13-2-Exm6.html
Solution.
t=var('t')
x(t)=arccos(t)
y(t)=t^2
z(t)=1/sqrt(1+t^2)
(diff(x(t), t), diff(y(t), t), diff(z(t), t))
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : (-1/sqrt(-t^2 + 1), 2*t, -t/(t^2 + 1)^(3/2)) ■
Integrals of Vector Functions
A differentiable vector function is antiderivative of a vector function
on an interval
if
. If
then an antiderivative of
is
where
and
are antiderivatives of
and
, respectively. Every antiderivative of
on
has the form
where
is an arbitrary constant vector. The set of all antiderivative of
on
is the indefinite integral of
on
.
DEFINITION 6 Indefinite Integral of a Vector Function
Let be a vector function and
, where
,
and
are anti- derivatives of
and
, respectively. Then the indefinite integral of
is
,
where is an arbitrary constant vector.
,
and
in Definition 6 can be obtained by finding indefinite integrals of
,
and
, respectively.
Example 8
If , then
,
where is a vector constant of integration. ■
Definite integrals of a vector function are evaluated by applying the Fundamental Theorem of Calculus to each component of a vector function.
DEFINITION 7 Definite Integral of a Vector Function
If is integrable (that is, it has anti- derivative) on
, then the definite integral of
from
to
is given by
.
This means that an integral of a vector function is obtained by integrating each component function.
The Fundamental Theorem of Calculus can be extended to continuous vector functions as follows :
where is an anti-derivative of
, that is,
. We use the notation
for indefinite integral of
, that is, the set of all anti-derivatives of
.
Example 9
If , then
. ■
Properties of the Integrals of Vector Functions
Let and
be continuous vector functions on
,
a scalar. Then the following hold:
(a) ,
(b) ,
(c) .
12.2 EXERCISES (Calculus of Vector Functions)
http://matrix.skku.ac.kr/Cal-Book/part2/CS-Sec-12-2-Sol.html
1-5. Find and draw the position vector
and the tangent vector
for the given value of
.
1. ;
http://matrix.skku.ac.kr/cal-lab/cal-13-2-1.html
Solution. (-sin(t), 1)
So, we can see that ;
2. ,
;
http://matrix.skku.ac.kr/cal-lab/cal-13-2-2.html
Solution.
var('t')
x(t)=sin(t);y(t)=t
r(t)=(x(t), y(t))
dr(t)=(diff(x(t), t), diff(y(t), t));dr(t)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : (cos(t), 1)
So, we can see that ;
t0=0
p1=r(t0)
p2=dr(t0)/abs(dr(t0))+r(t0)
p=parametric_plot((x(t), y(t)), (t, 0, 2*pi))
utv=line([p1, p2], rgbcolor=(1, 0, 0), thickness=2)
show(p+utv)
3. ,
;
http://matrix.skku.ac.kr/cal-lab/cal-13-2-3.html
Solution.
var('t')
x(t)=t^3;y(t)=t^2
r(t)=(x(t), y(t))
dr(t)=(diff(x(t), t), diff(y(t), t));dr(t)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : (3*t^2, 2*t)
So, we can see that .
t0=1
p1=r(t0)
p2=dr(t0)/abs(dr(t0))+r(t0)
p=parametric_plot((x(t), y(t)), (t, 0, 2))
utv=line([p1, p2], rgbcolor=(1, 0, 0), thickness=2)
show(p+utv)
4. ,
;
http://matrix.skku.ac.kr/cal-lab/cal-13-2-4.html
Solution.
var('t')
x(t)=exp(2*t)
y(t)=exp(-3*t)
r(t)=(x(t), y(t))
dr(t)=(diff(x(t), t), diff(y(t), t))
dr(t)
Answer : (2*exp(2*t), -3*exp(-3*t))
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
So, we can see that ;
t0=0
p1=r(t0)
p2=dr(t0)/abs(dr(t0))+r(t0)
p=parametric_plot((x(t), y(t)), (t, -2, 2))
utv=line([p1, p2], rgbcolor=(1, 0, 0), thickness=2)
show(p+utv)
5. ,
;
http://matrix.skku.ac.kr/cal-lab/cal-13-2-5.html
Solution.
var('t')
x(t)=3*sin(t)
y(t)=2*cos(t)
r(t)=(x(t), y(t))
dr(t)=(diff(x(t), t), diff(y(t), t))
dr(t)
Answer : (3*cos(t), -2*sin(t))
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
So, we can see that ;
t0=pi/3
p1=r(t0)
p2=dr(t0)/abs(dr(t0))+r(t0)
p=parametric_plot((x(t), y(t)), (t, -2*pi, 2*pi))
utv=line([p1, p2], rgbcolor=(1, 0, 0), thickness=2)
show(p+utv)
6-10. Find the derivatives of the vector functions.
6. .
Solution. .
7. .
Solution. .
8. .
Solution. .
9. .
Solution. .
10. .
Solution. .
11-13. Find the unit tangent vector at the point with the given value of the parameter
.
11. ,
.
Solution. ,
,
Hence .
12. ,
.
Solution. .
.
Therefore, .
13. ,
.
Solution. ,
,
.
14. If , find
,
,
, and
.
Solution. ,
.
Therefore, ,
.
.
15. If , find
and
.
Solution..
.
.
.
.
.
http://matrix.skku.ac.kr/cal-lab/cal-12-2-Exs-15.html
var('t')
r=vector([e^t*cos(t),e^t*sin(t),e^t])
rprime=diff(r,t)
show(rprime)
show(rprime.norm())
T=r/rprime.norm()
·show(T(t=0))
rrprime=diff(r,t,2)
show(rrprime(t=0))
S=rprime.dot_product(rrprime)
show(S.simplify_trig())
Answer :
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16-19. Find parametric equations for the tangent line to the curve with the given parametric equations at the specified point.
16. ;
.
Solution. We can see that .
For ,
. So,
.
Hence .
17. ;
.
Solution. We can see that .
For ,
.
Therefore,
Hence .
18. ,
,
;
.
Solution. We can see that by solving
,
,
.
For ,
.
So, . Hence
.
19. ,
,
;
.
Solution. We can see that .
For ,
.
So, . Hence
.
20-21. Find parametric equations for the tangent line to the curve with the given parametric equations at the specified point. Illustrate by graphing both the curve
and the tangent line together.
20. ,
,
;
.
http://matrix.skku.ac.kr/cal-lab/cal-13-2-20.html
Solution. We can see that .
var('t,s')
x(t)=t; y(t)=2*cos(t); z(t)=2*sin(t);
r(t)=(x(t), y(t), z(t));
dr(t)=(diff(x(t), t), diff(y(t), t), diff(z(t), t));
t0=pi/3;
pe=r(t0)+dr(t0)*s;
print pe
(1/3*pi + s, -sqrt(3)*s + 1, s + sqrt(3))
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
So, parametric equation is .
p1=parametric_plot3d(r(t), (t, -pi, pi));
p2=parametric_plot3d(pe, (s, -pi, pi), color='red');
show(p1+p2);
21. ,
,
;
.
http://matrix.skku.ac.kr/cal-lab/cal-13-2-21.html
Solution. We can see that .
var('t,s')
x(t)=exp(t); y(t)=sin(t); z(t)=2*exp(-3*t)
r(t)=(x(t), y(t), z(t));
dr(t)=(diff(x(t), t), diff(y(t), t), diff(z(t), t))
t0=0
pe=r(t0)+dr(t0)*s;
print pe
(1 + s, s, 2 -6*s)
So, parametric equation is .
p1=parametric_plot3d(r(t), (t, -2, 2));
p2=parametric_plot3d(pe, (s, -2, 2), color='red);
show(p1+p2);
22-24. Determine whether the following curves are smooth.
22. .
Solution. . Since
, this curve is not smooth.
23. .
Solution. .
First coordinate of cannot be zero for any real number
, so this curve is smooth.
24. .
Solution. .
Second coordinate of cannot be zero for any real number
, so this curve is smooth.
25-30. Evaluate the integrals.
25. .
http://matrix.skku.ac.kr/cal-lab/cal-12-2-Exs-25.html
Solution. .
26. .
Solution. .
27..
Solution. .
28. .
Solution. where
is a constant vector.
29. .
Solution. where
is a constant vector.
30. .
Solution. .
31. Find if
and
.
Solution. , where
is a constant vector.
Since , we finally have
.
32. Find if
and
.
http://matrix.skku.ac.kr/cal-lab/cal-12-2-Exs-33.html
Solution.
, where
is a constant vector.
Since ,
.
So, we finally have .
33. If and
, use Theorem 4(Rules of Differentiation) to find
Solution. ,
.
,
.
So, .
var('t')
u=vector([t,t^2,t^3])
v=vector([sin(t),sin(2*t),t])
r=u.dot_product(v)
rprime=diff(r,t)
show(rprime);
Answer :
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
34. If and
, use Theorem 2(Rules of differentiation) to find
.
http://matrix.skku.ac.kr/cal-lab/cal-12-2-Exs-34.html
Solution. ,
,
,
.
var('t')
u=vector([t,1-t,3+t^2])
v=vector([3-t,t-2,t^2])
r=u.cross_product(v)
rprime=diff(r,t);
show((expand(rprime[0]),expand(rprime[1]),expand(rprime[2])))
Answer :
35. Show that if is a vector function such that
exists, then
.
Solution. Using Theorem 4 (Rules of Differentiation),
.
36. If , show that
.
Solution. We already know that . Differentiating both sides,
.
So, we finally have .
37. Find the unit tangent vector to the curve ,
,
at any time
.
http://matrix.skku.ac.kr/cal-lab/cal-14-1-19.html
Solution.
x,y,z,t,u=var('x,y,z,t,u')
x(t)=4*sin(-t)
y(t)=2*cos(2*t)
z(t)=5*t
r(t)=(x(t),y(t),z(t))
r(t)
Answer : (4*sin(-t), 2*cos(2*t), 5*t)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
dr(t)=(diff(x(t),t),diff(y(t),t),diff(z(t),t)); # tangent vector(dr/dt)
dr(t)
(-4*cos(-t), -4*sin(2*t), 5)
dr(t)/abs(dr(t))+r(t) # unit tangent vector((dr/dt)/abs(dr/dt))
Answer: (-4*cos(-t)/sqrt(16*sin(2*t)^2 + 16*cos(-t)^2 + 25) + 4*sin(-t), + 16*cos(-t)^2 + 25) + 2*cos(2*t), 5*t + 5/sqrt(16*sin(2*t)^2 + 16*cos(-t)^2 + 25))
And we can draw a curve with given unit tangent vector.
t0=2
p1=r(t0)
p2=dr(t0)/abs(dr(t0))+r(t0)
p=parametric_plot3d((x(t),y(t),z(t)),(t,0,2*pi))
utv=line3d([p1,p2],rgbcolor=(1,0,0),arrow_head=True, thickness=5)
show(p+utv)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
12.3 Arc Length and Curvature
The length of a space curve is defined in exactly the same way as a plane curve. Suppose that a curve has the vector equation
,
, or, equivalently, the parametric equations
,
,
where ,
and
are continuous. If the curve
is traced exactly once as
increases from
to
, then its length of
is defined as
.
Notice that for space curves ,
and hence the arc length formula can be also be written as
.
Example 1
Find the length of the arc of the circular helix with vector equation from the point
to the point
.
http://matrix.skku.ac.kr/cal-lab/cal-12-3-Exm-1.html
Solution. The arc from to
is described by the parameter interval
. Hence from Equation
, we have
.
var('t')
r=vector([2*cos(t),2*sin(t),t])
a=0
b=2*pi
rprime=diff(r,t)
L=integral(rprime.norm(),t,a,b)
show(L)
Answer : ■
Figure 1
A single curve can be represented by more than one vector function. Fortunately, we have the same arc length no matter which parameterization of the curve is used in
. We can easily show this as follows. Suppose that
,
and also
,
where is such that
and
, and
is continuous. Then we have
.
Thus from Theorem 4 (vi) in Section 12.2,
.
The technique of change of variables from calculus gives us
.
Now let be a curve given by a vector function
,
,
where is continuous and
is traced exactly once as
increases from
to
. The arc length function is the real valued function
defined by
.
Thus is the length of the part of
between
and
. (See Figure 2.)
Figure 2
Differentiating both sides of using the Fundamental Theorem of Calculus, we obtain
.
Since arc length is independent of a particular coordinate system parameterization and arises from the shape of the curve, parameterizion of a curve with respect to arc length is often useful. If a curve is already given in terms of a parameter
and
is the arc length function given by
, then we may be able to solve for
as a function of
. Hence the curve can be reparametrized in terms of
by substituting for
. It is the arc length parameterization.
Example 2
Reparametrize the helix with respect to arc length measured from
in the direction of increasing
.
Solution. The initial point corresponds to the parameter value
. From Example 1, we have
and so .
Solving this equation for gives
. Therefore, the required reparameterization is obtained by substituting for
:
. ■
Curvature of Curves
Let be a smooth curve defined by the vector function
. Recall that the unit tangent vector
is given by
and points in the direction of the curve . From Figure 3, we observe that
changes direction gradually when
bends slightly, but it changes direction rapidly when
bends more sharply.
Figure 3
DEFINITION 1
The curvature of a curve
is the magnitude of the rate of change of the unit tangent vector with respect to arc length. That is,
where is the unit tangent vector.
If a smooth curve is given in terms of parameter
rather than the arc length parameter
, we can compute the curvature as follows. We use Theorem 4 (vi) in Section 12.2 to write
and
.
However from
, thus we have the following formula for calculating curvature
.
Example 3
Find the curvature of a circle of radius .
Solution. We can take a circle of radius , centered at the origin, and then a parameterization is
.
Then
and
.
From this, we find the unit tangent vector
and
.
Hence by , the curvature is
since
. ■
We see from Example 3 that the curvature of a circle is constant, which is the reciprocal of its radius. So small circles have large curvature and large circles have small curvature. We can see directly from the definition of curvature that the curvature of a straight line is 0 because the unit tangent vector points in the same direction, that is,
is constant.
The following theorem provides another formula for curvature in terms of a general parameter .
THEOREM 2
If is smooth curve defined by the vector function
, then the curvature
can be expressed as
.
Proof.
It follows from definition of the unit tangent vector and
that
.
Differentiating with respect to , we get
.
However the cross product of a vector with itself is a zero vector, so we have
.
.
Since for all
so
and
are orthogonal by Theorem 5 in Section 12.2. Hence, by the definition of cross product and
.
.
Then
.
Thus
. ■
Example 4
Find the curvature of the twisted cubic where
and
are positive.
Solution. We have
.
Hence
.
Therefore
and
.
By Theorem 2,
. ■
For a plane curve with equation , we take
as the parameter, and then a parameterization is
.
Then and
and hence , and
. Thus by Theorem 2, we have
.
Figure 4
Let us look at this in another form.
If as
, then
.
The arc length function is
. Then,
(by 1st FTC)
.
Thus , which means the curvature
at any point
on a curve
, is
.
Curvature in Parametric Form
Using Theorem 2, we can show that the curvature of a plane parametric curve ,
is
.
Using Theorem 2, we can show that the curvature of a plane polar function is
.
A Circle of Curvature
In Figure 5 a osculating circle on at a point
is called a circle of curvature. By Example 3, a radius of a circle of curvature is
where
.
Figure 5
If and
(concave downward), then the coordinates of center of a circle of curvature is (
,
). Also since
,
,
.
Then the center of the circle of curvature can be obtained by
.
Example 5
Find the radius of curvature for the curve .
Solution. Since and
,
. ■
Example 6
Find the center of curvature for the parabola at
.
Solution. Since and
,
and
. Therefore the center is
. ■
Example 7
Find the curvature of and sketch the graph of its curvature function
.
Solution. Since and
,
gives
.
Figure 6
The curvature at is
. At the point
, it is
. Observe from the expression for
or the graph of
in Figure 6 that
as
. This corresponds to the fact that the graph appears to become flatter as
. ■
http://interact.sagemath.org/taxonomy/term/13
Example 8
Sketch the graph of ,
and plot the curvature function of
along with this curve. [This curve is called figure eight.]
http://matrix.skku.ac.kr/cal-lab/cal-12-3-Example-8.html
Solution.
var('t')
x=sin(t)
y=sin(2*t)
x1=diff(x,t)
y1=diff(y,t)
x2=diff(x1,t)
y2=diff(y1,t)
curvature=(x1(t)*y2(t)-x2(t)*y1(t))/((x1(t)^2+y1(t)^2)^(3/2))
plot(curvature,(t,0,2*pi),color='red',dpi=120)+parametric_plot((x,y),(t,0,2*pi),dpi=120)
Figure 7
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
■
The Normal Vector and Binormal Vector
At a given point on a smooth space curve , there are many vectors that are orthogonal to the unit tangent vector
. We single out one that
is orthogonal to
by Theorem 5 in Section 12.2. Note that
is not a unit vector. If we divide
by its length
, we obtain a unit vector that is orthogonal to
.
DEFINITION 3
The principal unit normal vector (or simply unit normal) for a smooth curve in space is
.
DEFINITION 4
The binormal vector of a smooth curve in a space is given by
.
Since and
are both unit vectors, the binormal vector
is also a unit vector and is perpendicular to both
and
. (See Figure 8) The vectors
,
, and
determine three mutually perpendicular planes that move along the curve as
varies. Three mutually perpendicular unit vectors in a space are called the
frame. It has important applications in differential geometry and in the study of the motion of spacecraft.
Figure 8
Example 9
Find the principal unit normal and binormal vectors for the circular helix
,
,
.
http://matrix.skku.ac.kr/cal-lab/cal-12-3-Example-9.html
Solution. The vector function for the helix is
.
Then we have
,
,
,
,
.
This shows that the normal vector at a point on the helix is horizontal and points toward the -axis. The binormal vector is
.
Plot the ,
and
vector for helix
t=var('t')
r=vector((cos(t),sin(t),t))
T=diff(r,t)/norm(diff(r,t))
N=diff(T,t)/norm(diff(T,t))
B=T.cross_product(N)
p = parametric_plot(r,(t,0,2*pi),color='goldenrod',thickness=2)
p = p+sum([arrow3d(r(t=x), r(t=x)+T(t=x),width=1)+arrow3d( r(t=x), r(t=x)+N(t=x),color='red',width=1)+arrow3d(r(t=x), r( t=x)+B(t=x), color='green', width=1)+point3d((cos(x), sin(x), x), pointsize=20) for x in [-3..3,step=1]])
show(p)
Figure 9
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■
The three unit vectors, ,
and
form a right-handed set of mutually orthogonal vectors called the moving trihedral. The plane of
and
is called the osculating plane at a point
on a curve
, the plane of
and
is called the normal plane at a point
on a curve
, the plane of
and
is called rectifying plane at a point
on a curve
.
The three mutually orthogonal unit vectors ,
and
can be thought of as a movable right-handed coordinate system. (See Figure 9.)
,
,
.
This movable coordinate system is referred to as the -frame.
The osculating circle or the circle of curvature of at
is the circle with radius
that lies in the osculating plane of
at P, has the same tangent as
at
, lies on the concave side of
towards which
points. (See Figure 8) The behavior of the curve
near
is best described by osculating circle. Also it shares the same tangent, normal, and curvature at
. The circle at
is called circle of curvature and its center is the center of curvature. The circle of curvature has same tangent line at
as the curve
, and its center lies on the concave side of
.
Figure 10 Figure 11
Example 10
Find the equations of the normal plane, osculating plane and rectifying plane of the helix
at the point . (See Figure 12.)
http://matrix.skku.ac.kr/cal-lab/cal-12-3-Example-10.html
Figure 12
Solution. The normal plane at , the tangent vector is
. Hence the equation of the normal plane is
or
.
The osculating plane at is determined by the vectors
and
, hence its normal vector is
.
,
.
Hence an equation of the osculating plane is
or
.
The rectifying plane at has normal vector
.
Hence an equation of the rectifying plane is
or
.
t=var('t')
r=vector((2*cos(t),2*sin(t),t))
T=diff(r,t)/norm(diff(r,t))
N=diff(T,t)/norm(diff(T,t))
B=T.cross_product(N)
x=pi/3
C=parametric_plot3d(r,(t,0,3*pi),thickness=2,color='goldenrod')
A=arrow3d(r(t=x), r(t=x)+T(t=x),thickness=1.1)+arrow3d(r(t=x),
r(t=x)+N(t=x),color='red',thickness=1.1)+arrow3d(r(t=x),
r(t=x)+B(t=x),color='green',thickness=1.1)+point3d((cos(x), sin(x),x),pointsize=20)
C+A
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■
Example 11
Find the vectors ,
, and
for
at the given point
.
http://matrix.skku.ac.kr/cal-lab/cal-12-3-Example-11.html
Solution. For point , the corresponding value
is
.
t=var('t')
x(t)=t^3
y(t)=t-2
z(t)=t^2
r(t)=(x(t), y(t), z(t))
dr(t)=(diff(x(t), t), diff(y(t), t), diff(z(t), t)) #
ndr=dr(t).norm() #
T=dr(t)/ndr #
dT=diff(T, t) #
ndT=dT.norm() #
N=dT/ndT #
print T(1)
print N(1)
print T(1).cross_product(N(1))
(3/14*sqrt(14), 1/14*sqrt(14), 1/7*sqrt(14))
(9/266 * sqrt(14) * sqrt(19), -11/266 * sqrt(14) * sqrt(19), -4/133 * sqrt(14) * sqrt(19))
(1/19*sqrt(19), 3/19*sqrt(19), -3/19*sqrt(19)
t=var('t')
r=vector((t^3, t-2, t^2))
T=diff(r,t)/norm(diff(r,t))
N=diff(T,t)/norm(diff(T,t))
B=T.cross_product(N)
x=1
C=parametric_plot3d(r,(t,0,pi/2),thickness=2,color='goldenrod')
A=arrow3d(r(t=x), r(t=x)+T(t=x), thickness=1.1)+arrow3d
(r(t=x), r(t=x)+N(t=x) ,color='red' ,thickness=1.1)+arrow3d
(r(t=x), r(t=x) +B(t=x), color='green', thickness=1.1) +
point3d((cos(x), sin(x), x), pointsize=20)
C+A
Figure 13
■
12.3 EXERCISES (Arc Length and Curvature)
http://matrix.skku.ac.kr/Cal-Book/part2/CS-Sec-12-3-Sol.html
1-5. Find the length of the curve.
1. ,
.
Solution. .
.
.
2.
,
.
http://matrix.skku.ac.kr/cal-lab/cal-13-3-2.html
Solution.
var('t')
r(t)=(2*sin(t)-t*cos(t), 2*t, 2*cos(t)+t*sin(t))
dr=diff(r(t), t);
s(t)=sqrt((dr[0]^2+dr[1]^2+dr[2]^2).simplify_trig());
length=integral(s(t), t, 0, sqrt(5))
print length
Answer : 1/2*sqrt(5)*sqrt(10) + 5/2*arcsinh(1)
3. ,
.
Solution. .
.
.
4. ,
.
http://matrix.skku.ac.kr/cal-lab/cal-13-3-4.html
Solution.
var('t')
x(t)=t
y(t)=2
z(t)=ln(t)
dx(t)=diff(x(t), t)
dy(t)=diff(y(t), t)
dz(t)=diff(z(t), t)
s(t)=sqrt(dx(t)^2+dy(t)^2+dz(t)^2)
length=integral(s(t), t, 1, sqrt(3))
print length
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : -sqrt(2) - 1/2*log(sqrt(2) - 1) + 1/2*log(sqrt(2) + 1) - 1/2*log(3) + 2
5. ,
.
Solution. ,
,
.
6-8. Reparametrize the curve with respect to arc length measured from the point in the direction of increasing
.
6. .
Solution. Since ,
.
Thus , this implies
. Substituting
in
, we have
.
7.
Solution. Since
,
.
Thus
.
Substituting in
, we have
8. .
http://matrix.skku.ac.kr/cal-lab/cal-13-3-8.html
Solution. Reparametrization
var('t')
x(t)=3*t*sin(t)
y(t)=3*t*cos(t)
var('t')
x(t)=3*t*sin(t)
y(t)=3*t*cos(t)
z(t)=--2*sqrt(2)*t^(3/2)
dx(t)=diff(x(t), t)
dy(t)=diff(y(t), t)
dz(t)=diff(z(t), t)
s(t)=sqrt(dx(t)^2+dy(t)^2+dz(t)^2)
length=integral(s(t), t, 1, sqrt(3))
print length
Answer : 1/2*(t+1)*sqrt19*t^2+18*t+9)-3/2
9-10. Find the unit tangent , unit normal vectors
and the curvature
.
9. .
Solution. ,
.
Hence
,
,
.
Hence .
.
10. ,
.
11-13. Use Theorem 2 to find the curvature.
11. .
http://matrix.skku.ac.kr/cal-lab/cal-12-3-Exercise-11.html
Solution.
,
,
.
t=var('t')
r=vector((3*t,3+t,3-t^2))
rprime=diff(r,t)
rrprime=diff(rprime,t)
curvature = abs(rprime.cross_product (rrprime))/abs(rprime)^3
k=curvature.full_simplify()
show(k)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer :
12. .
http://matrix.skku.ac.kr/cal-lab/cal-13-3-12.html
Solution.
var('t')
r(t)=(3+4*t^(3/2), 6*t,3/2*t^2)
dr=diff(r(t), t)
ddr=diff(r(t), t, 2)
ANSWER=(dr.cross_product(ddr)).norm()/(dr.norm())^3
print ANSWER
Answer: 1/3(t^(5/2) +4*t^(3/2) + 4*sqrt(t))
13. .
Solution.
,
.
.
14. Find the curvature of
at the point
.
Solution.
,
,
,
,
,
.
15. Find the curvature of at the point
.
Solution.
,
,
,
.
16-18. Use Formula 6 to find the curvature.
16. .
Solution. ,
.
17. .
Solution. ,
.
18. .
Solution. ,
.
19-20. Find the vectors ,
and
at the given point, and plot them.
19. ,
.
http://matrix.skku.ac.kr/cal-lab/cal-13-3-19.html
Solution.
var('t')
r(t)=(t+1, 2*t, t^2)
dr=diff(r(t), t)
T=dr/dr.norm()
dT=diff(T, t)
N=dT/dT.norm()
B=T.cross_product(N)
print T.subs(t=1)
print N.subs(t=1)
print B.subs(t=1)
Answer : (1/3, 2/3, 2/3)
(-2/15*sqrt(5), -4/15*sqrt(5), 1/3*sqrt(5))
(2/5*sqrt(5), -1/5*sqrt(5), 0)
t=var('t')
r=vector((t+1, 2*t, t^2))
T=diff(r,t)/norm(diff(r,t))
N=diff(T,t)/norm(diff(T,t))
B=T.cross_product(N)
x=1
C=parametric_plot3d(r,(t,0,pi),thickness=2,color='goldenrod')
A=arrow3d(r(t=x), r(t=x)+T(t=x),thickness=1.1)+arrow3d(r(t=x),
r(t=x)+N(t=x),color='red',thickness=1.1)+arrow3d(r(t=x),
r(t=x)+B(t=x),color='green',thickness=1.1)+point3d((cos(x),sin(x),x),pointsize=20)
C+A
20. ,
.
http://matrix.skku.ac.kr/cal-lab/cal-13-3-20.html
Solution.
var('t')
r(t)=(exp(t)*cos(t), exp(t)*sin(t), sqrt(2)*exp(t))
dr=diff(r(t), t)
T=dr/dr.norm()
dT=diff(T, t)
N=dT/dT.norm()
B=T.cross_product(N)
print T.subs(t=0)
print N.subs(t=0)
print B.subs(t=0)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : (1/2, 1/2, 1/2*sqrt(2))
(-sqrt(1/2), sqrt(1/2), 0)
(-1/2*sqrt(1/2)*sqrt(2),-1/2*sqrt(1/2)*sqrt(2), qrt(1/2))
t=var('t')
r=vector([exp(t)*cos(t), exp(t)*sin(t), sqrt(2)*exp(t)])
T=diff(r,t)/norm(diff(r,t))
N=diff(T,t)/norm(diff(T,t))
B=T.cross_product(N)
x=0
C=parametric_plot3d(r,(t,-pi/2,pi/2),thickness=2,color='goldenrod')
A=arrow3d(r(t=x), r(t=x)+T(t=x),thickness=1.1)+arrow3d(r(t=x), r(t=x)+N(t=x), color='red', thickness=1.1) + arrow3d(r(t=x), r(t=x) + B(t=x), color='green', thickness=1.1) + point3d((cos(x), sin(x), x), pointsize=20)
C+A
21-22. Find equations of the normal plane and osculating plane of the curve at the given point, and plot the graphs.
21.
.
http://matrix.skku.ac.kr/cal-lab/cal-13-3-21.html
Solution. Normal plane
var('x, y, z, t')
r(t)=(2*sin(t), 5*t, 2*cos(t))
dr=diff(r(t), t)
T=dr/dr.norm()
dT=diff(T, t)
N=dT/dT.norm()
B=T.cross_product(N)
N=N.subs(t=pi)
expand(N[0]*(x-0)+N[1]*(y-5*pi)+N[2]*(z+2)==0)
Answer : sqrt(1/29)*sqrt(29)*z + 2*sqrt(1/29)*sqrt(29)==0
# Osculating plane
B=B.subs(t=pi)
expand(B[0]*(x-0)+B[1]*(y-5*pi)+B[2]*(z+2)==0)
Answer: -10*pi*sqrt(1/29) + 5*sqrt(1/29)*x + 2*sqrt(1/29)*y == 0
# Graph
t=var('t')
r=vector([2*sin(t), 5*t, 2*cos(t)])
T=diff(r,t)/norm(diff(r,t))
N=diff(T,t)/norm(diff(T,t))
B=T.cross_product(N)
x=pi
C=parametric_plot3d(r,(t,0,2*pi),thickness=2,color='goldenrod')
A=arrow3d(r(t=x), r(t=x) + T(t=x), thickness=1.1) + arrow3d(r(t=x), r(t=x) + N(t=x), color='red', thickness=1.1) + arrow3d(r(t=x), r(t=x) + B(t=x), color='green', thickness=1.1) + point3d((cos(x), sin(x), x), pointsize=20)
C+A
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
22. .
http://matrix.skku.ac.kr/cal-lab/cal-13-3-22.html
Solution.
# Normal plane
var('x, y, z, t')
r(t)=(t^2, 2/3*t^3, t)
dr=diff(r(t), t)
T=dr/dr.norm()
dT=diff(T, t)
N=dT/dT.norm()
B=T.cross_product(N)
N=N.subs(t=1)
expand(N[0]*(x-1)+N[1]*(y-2/3)+N[2]*(z-1)==0)
Answer : -1/3*x + 2/3*y - 2/3*z + 5/9 == 0
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
# Osculating plane
B=B.subs(t=1)
expand(B[0]*(x-1)+B[1]*(y-2/3)+B[2]*(z-1)==0)
Answer : -2/3*x + 1/3*y + 2/3*z - 2/9 == 0
# Graph
t=var('t')
r=vector([t^2, 2/3*t^3, t])
T=diff(r,t)/norm(diff(r,t))
N=diff(T,t)/norm(diff(T,t))
B=T.cross_product(N)
x=1
C=parametric_plot3d(r,(t,0,pi/2),thickness=2,color='goldenrod')
A=arrow3d(r(t=x), r(t=x) + T(t=x), thickness=1.1) + arrow3d(r(t=x), r(t=x) + N(t=x),
color='red', thickness=1.1) + arrow3d(r(t=x), r(t=x) + B(t=x), color='green',
thickness=1.1) + point3d((cos(x), sin(x), x), pointsize=20)
C+A
23. At what point on the curve is the tangent plane parallel to the plane
?
http://matrix.skku.ac.kr/cal-lab/cal-13-3-23.html
Solution.
var('x, y, z, t')
r(t)=(t^4, 3*t, t^2)
dr=diff(r(t), t)
T=dr/dr.norm()
T=T.subs(t=1)
expand(T[0]*(x-r(1)[0])+T[1]*(y-r(1)[1])+T[2]*(z-r(1)[2])==0)
Answer: 4/29*sqrt(29)*x + 3/29*sqrt(29)*y + 2/29*sqrt (29)*z - 15/29*sqrt(29) == 0.
24. The curvature at a point of a curve is defined as
, where
is the angle of inclination of the tangent line at
, as shown in the figure. Thus, the curvature is the absolute value of the rate of change of
with respect to arc length. It can be regarded as a measure of the rate of change of direction of the curve at
.
(a)For a parametric curve ,
derive the formula
.
where the dots indicate derivatives with respect to ; that is,
. [Hint: Use
and Equation
to find
. Then use the Chain Rule to find
.]
(b)For a curve as the parametric curve
,
, show that the formula in part (a) becomes
.
Solution.
(a) Here
,
,
and
. Thus
.
(b) Here
.
By applying the result of (a) to this case, we obtain that
.
25. (a) Show that the curvature at each point of a straight line is .
(b) Show that the curvature at each point of a circle of radius is
.
Solution. (a) For a straight line, we parametrize . Since
is a straight line,
is a constant, and hence
is zero.
.
(b)
Then, and
.
.
*12.4 Motion Along a Space Curve: Velocity and Acceleration
In this section, we will show how tangent and normal vectors can be used in physics to study the motion of a particle moving along a space curve, including its velocity and acceleration.
Suppose that a particle is moving through space along a smooth curve
defined by the vector function
. From Figure 1, for small values of
, consider the vector
.
The vector gives the average velocity over a time interval of length
. Then the velocity vector
at time
is defined by
.
Hence the velocity vector is also the tangent vector and points in the direction of the tangent line. We have also defined the speed at time to be the magnitude of the velocity vector, that is,
. Notice that from
and
in Section 12.3, we have
rate of change of distance with respect to time.
The acceleration vector at time
is defined as the derivative of the velocity:
.
Example 1
The position vector of an object moving in a plane is given by . Find its velocity, speed, and acceleration when
and illustrate geometrically.
Solution. The components of give the parametric equations
and
.
Hence .
In particular, the object is moving along the ellipse. (See Figure 2.)
The velocity and acceleration at time are
,
,
and the speed is
.
When , we have
,
,
.
These velocity and acceleration vectors are shown in Figure 2. ■
Figure 2
Since the velocity vector of a particle moving in space can be obtained by differentiating the position vector
, it follows that
can be obtained by integrating
. Similarly,
can be obtained by integrating
.
Example 2
A moving particle starts at an initial position with initial velocity
. Its acceleration is
. Find its position at time
.
Solution. Since we have
.
To find the value of the constant vector , we use the fact that
. The preceding equation gives
, and hence
. Thus
.
Since we have
To find , we use the initial condition
, and so
.
Hence the position at time is given by
. ■
The Newton's Second Law gives us an exact relationship between force, mass and acceleration. It can be expressed as a mathematical vector version:
where
is a force,
a mass and
an acceleration.
A projectile is some object thrown in air or space. The curved path along which the projectile travels is what is known as trajectory. Projectile motion is the free fall motion of any body in a horizontal path with constant velocity.
Example 3
Suppose that a projectile is fired from the origin at time at angle of
above the horizontal and initial velocity
. (See Figure 3.) Assume that air resistance is negligible and the only external force is due to the gravity. What is the position vector
of the projectile?
Figure 3
Solution. By Newton's Second Law and the gravity, the force is
where . Integrating
,
. Since
,
.
Integrating again, the position vector is
.
Since ,
. Hence
.
Let be the initial speed of the projectile. Then
.
Substituting from
, the position vector of the projectile is
. ■
Example 4
A foot ball player kicks a football at an angle of above the horizontal in the field. The initial speed of the ball is 18 m/s. How far away from the kick off point will the football land, and what speed on the ground?
Solution. With ,
and
, we get the components of position vector
at time
and
.
Impact occurs when on the ground, that is,
. Solving this equation, we get
.
Then which means the football hits the field about 28.63m away.
The position vector of this football at time is
.
Then the velocity of this football at time is
.
Hence its speed on the ground is
. ■
Tangential and Normal components of Acceleration
We are going to think about acceleration of the motion of an object along a curve as the second derivative of position, and we can further break down acceleration into two components called the tangential and normal components. (See Figure 4.)
Figure 4
The tangential acceleration allows us to know how much of the acceleration acts in the direction of motion. The normal acceleration
is how much of the acceleration is orthogonal to the tangential acceleration. The tangential acceleration is a measure of the rate of change in the magnitude of the velocity vector, that is, speed, and the normal acceleration is a measure of the rate of change of the direction of the velocity vector.
Let be a position vector along a curve at time
. We can find the tangential acceleration by the Chain Rule to rewrite the velocity vector
using properties of Section 12.3.
Now, since acceleration is simply the derivative of velocity, we can find acceleration
.
Note that .
Let the speed of the object be . Since
and
, we define the tangential acceleration and normal acceleration of acceleration by
and
,
respectively.
Then the acceleration of the motion of an object is
.
Since and
are unit vectors and orthogonal to each other,
. The magnitude of the acceleration is
.
Although provides useful expressions for the tangential and normal components of acceleration, it is often desirable to have expressions in terms of
and
. To get this, we take the dot product of
and
as given by
:
(since
and
.
Thus
.
By Theorem 2 in Section 12.3, we have
.
Example 5
A particle moves with position function . Find the tangential and normal components of acceleration.
http://buzzard.pugetsound.edu/talks/beezer-2012-kms-math-ed.pdf
Solution. We have
,
,
,
.
Hence by , the tangential component is
.
Since
.
By , the normal component is
. ■
Example 6
Find the velocity, acceleration, and speed of a particle with the given position function:
http://matrix.skku.ac.kr/cal-lab/cal-13-4-Exm6.html
Solution.
t=var('t')
x(t)=cos(t)
y(t)=t^2
z(t)=3*sin(t)
r(t)=(x(t), y(t), z(t))
v(t)=(diff(x(t), t), diff(y(t), t), diff(z(t), t)) # velocity
a(t)=(diff(x(t), t, 2), diff(y(t), t, 2), diff(z(t), t, 2)) # acceleration
s(t)=v(t).norm() # speed
v(t)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : (-sin(t), 2*t, 3*cos(t)) # velocity
a(t)
Answer : (-cos(t), 2, -3*sin(t)) # acceleration
s(t)
Answer : sqrt(abs(2*t)^2 + abs(-sin(t))^2 + abs(3*cos(t))^2) ■
*12.4 EXERCISES (Motion Along a Space Curve: Velocity and Acceleration)
http://matrix.skku.ac.kr/Cal-Book/part2/CS-Sec-12-4-Sol.html
1-5. Find the velocity, acceleration, and speed of a particle with the given position function. Sketch the path of the particle and draw the velocity and acceleration vectors for specified value of .
1. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-1.html
Solution.
var('t')
r(t)=(t^3+1, t)
v=diff(r(t), t)
a=diff(v, t)
s=v.norm()
print v, a, s
v2=v.subs(t=2)
a2=a.subs(t=2)
print v2, a2
Answer : (3*t^2, 1) (6*t, 0) sqrt(abs(3*t^2)^2 + 1) (12, 1) (12, 0)
p1=parametric_plot(r(t), (t, 0, 3))
p2=line([r(2), r(2)+v2], color='red')
p3=line([r(2), r(2)+a2], color='green')
show(p1+p2+p3)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
2. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-2.html
Solution.
var('t')
r(t)=(2+2*t, 4*sqrt(t))
v=diff(r(t), t)
a=diff(v, t)
v1=v.subs(t=1)
a1=a.subs(t=1)
s=v.norm()
print v, a, s
Answer : (2, 2/sqrt(t)) (0, -1/t^(3/2)) sqrt(abs(2/sqrt(t))^2 + 4)
(2, 2), (0, -1)
p1=parametric_plot(r(t), (t, 0, 3))
p2=line([r(1), r(1)+v1], color='red')
p3=line([r(1), r(1)+a1], color='green')
show(p1+p2+p3)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
3. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-3.html
Solution.
var('t')
r(t)=(exp(2*t), exp(-t))
v=diff(r(t), t)
a=diff(v, t)
v0=v.subs(t=0)
a0=a.subs(t=0)
s=v.norm()
print v, a, s
Answer : (2*e^(2*t), -e^(-t)) (4*e^(2*t), e^(-t)) sqrt(abs (-e^(-t))^2 + abs(2*e^(2*t))^2)
(2, -1), (4, 1)
p1=parametric_plot(r(t), (t, -1, 1))
p2=line([r(0), r(0)+v0], color='red')
p3=line([r(0), r(0)+a0], color='green')
show(p1+p2+p3)
4. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-4.html
Solution.
var('t')
r(t)=(2*sin(t), cos(t))
v=diff(r(t), t)
a=diff(v, t)
vt=v.subs(t=pi/3)
at=a.subs(t=pi/3)
s=v.norm()
print v, a, s
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : (2*cos(t), -sin(t)) (-2*sin(t), -cos(t)) sqrt(abs (-sin(t))^2 + abs(2*cos(t))^2)
,
p1=parametric_plot(r(t), (t, 0, 3))
p2=line([r(pi/3), r(pi/3)+vt], color='red')
p3=line([r(pi/3), r(pi/3)+at], color='green')
show(p1+p2+p3)
5. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-5.html
Solution.
var('t')
r(t)=(3*sin(t), t, 3*cos(t))
v=diff(r(t), t)
a=diff(v, t)
v0=v.subs(t=0)
a0=a.subs(t=0)
s=v.norm()
print v, a, s
Answer : (3*cos(t), 1, -3*sin(t)) (-3*sin(t), 0, -3*cos(t)) sqrt(abs(-3*sin(t))^2 + abs(3*cos(t))^2 + 1)
p1=parametric_plot3d(r(t), (t, -1, 2))
p2=line([r(0), r(0)+v0], color='red')
p3=line([r(0), r(0)+a0], color='green')
show(p1+p2+p3)
6-10. Find the velocity, acceleration and speed of a particle with the given position function.
6. .
Solution. ,
,
.
7. .
Solution. ,
,
.
8. .
Solution. ,
,
.
9. .
Solution. ,
,
.
10. .
Solution. ,
,
.
11-12. Find the velocity and position vectors of a particle that has the given acceleration and the given initial velocity and position.
11. .
Solution. .
Since , we have
.
.
Since , we have
.
12. .
Solution. .
Since , we have
.
.
Since , we have
.
13-14. Find the position vector of a particle that has the given acceleration and the specified initial velocity and position.
13. .
Solution. .
Since , we have
.
.
Since , we have
.
14.
.
Solution. .
Since , we have
.
Since , we have
. Hence,
15. The position function of a particle is given by . When is the speed a minimum?
http://matrix.skku.ac.kr/cal-lab/cal-13-4-15.html
Solution.
var('t')
r(t)=(t^2, t, t^2-4*t)
v=diff(r(t), t)
s=v.norm()
s0=diff(s, t)
solve(s0==0, t)
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : t=1
plot(s, (t, 0, 3))
16-20. Find the tangential and normal components of the acceleration vector.
16. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-16.html
Solution.
var('t')
r(t)=(t-t^3, t^2, 0)
dr=diff(r(t), t)
ddr=diff(r(t), t, 2)
T=dr.dot_product(ddr)/dr.norm()
print T
N=(dr.cross_product(ddr)).norm() / dr.norm()
print N
Answer : 2*(3*(3*t^2 - 1)*t + 2*t)/sqrt(abs(-3*t^2 + 1)^2 + abs(2*t)^2) sqrt(abs(6*t^2 + 2)^2)/sqrt(abs (-3*t^2 + 1)^2 + abs(2*t)^2)
17. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-17.html
Solution.
var('t')
r(t)=(cos(t), sin(t), 2*t)
dr=diff(r(t), t)
ddr=diff(r(t), t, 2)
T=dr.dot_product(ddr)/dr.norm()
print T
N=(dr.cross_product(ddr)).norm() / dr.norm()
print N
Answer : 0 sqrt(abs(sin(t)^2 + cos(t)^2)^2 + abs(2*sin (t))^2 + abs(-2*cos(t))^2)/sqrt(abs(-sin(t))^2 + abs(cos(t))^2 + 4)
18. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-18.html
Solution.
var('t')
r(t)=(2*t, t^2, t^3)
dr=diff(r(t), t)
ddr=diff(r(t), t, 2)
T=dr.dot_product(ddr)/dr.norm()
print T
N=(dr.cross_product(ddr)).norm() / dr.norm()
print N
Answer : 2*(9*t^3 + 2*t)/sqrt(abs(3*t^2)^2 + abs(2*t)^2 + 4) sqrt(abs(6*t^2)^2 + abs(-12*t)^2 + 16)/sqrt (abs(3*t^2)^2 + abs(2*t)^2 + 4)
19. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-19.html
Solution.
var('t')
r(t)=(exp(2*t), t, exp(-2*t))
dr=diff(r(t), t)
ddr=diff(r(t), t, 2)
T=dr.dot_product(ddr)/dr.norm()
print T
N=(dr.cross_product(ddr)).norm() / dr.norm()
print N
Answer : -8*(e^(-4*t) - e^(4*t))/sqrt(abs(-2*e^(-2*t))^2 + abs(2*e^(2*t))^2 + 1) sqrt(abs(4*e^(-2*t))^2 + abs(-4*e^(2*t))^2 + 256)/sqrt(abs(-2*e^(-2*t))^2 + abs(2*e^(2*t))^2 + 1)
20. .
http://matrix.skku.ac.kr/cal-lab/cal-13-4-20.html
Solution.
var('t')
r(t)=(t, 1/2*(cos(t))^2, 1/2*(sin(t))^2)
dr=diff(r(t), t)
ddr=diff(r(t), t, 2)
T=dr.dot_product(ddr)/dr.norm()
print T
N=(dr.cross_product(ddr)).norm() / dr.norm()
print N
[CAS] http://sage.skku.edu/ 또는 https://sagecell.sagemath.org/
Answer : -2*(sin(t)^2 - cos(t)^2)*sin(t)*cos(t)/sqrt(abs(-sin (t)*cos(t))^2 + abs(sin(t)*cos(t))^2 + 1)
sqrt(2)*sqrt(abs(sin(t)^2 - cos(t)^2)^2)/sqrt(abs (-sin(t)*cos (t))^2 + abs(sin(t)*cos(t))^2 + 1)
Calculus
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Made by Manager: Prof. Sang-Gu Lee and Dr. Jae Hwa Lee http://matrix.skku.ac.kr/sglee/ and http://matrix.skku.ac.kr/cal-book/
*This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1D1A1B03035865).