WORKSHEET XVI Vector Fields, Flow lines, divergence

WORKSHEET XVI
Vector Fields, Flow lines, divergence
1. Sketch each of the following vector fields. When possible, find isoclines to facilitate the
sketching process.
(a)
F(x, y) = (3, 3)
(b)
F(x, y) = (4, 0)
(c)
F(x, y) = (x, 0)
(d)
F(x, y) = (0, x)
(e)
F(x, y) = (x, y)
(f)
F(x, y) = (3x, 3y)
(g)
F(x, y) = (-x, -y)
(h)
F(x, y) = (-x, y)
(i)
F(x, y) = (y, x)
(j)
F(x, y) = (y, -2x)
(k)
F(x, y) = (x, -y)
(l)
F(x, y) = (y, -x)
(m)
F(x, y) = (x, x2)
(n)
F(x, y, z) = (y, -x, 0)
(o)
F(x, y, z) = (0, x, y)
2. Describe the differences (direction, norm, etc.) among the three vector fields V1(x,y) = y i + x j, V2(x,y) = y i – x j, V3 ( x, y ) 
V 4 ( x, y ) 
y
x2  y2
i
x
x2  y2
j and
y
x
i 2
j
2
x y
x  y2
2
3. Sketch each of the following gradient vector fields. (Use appropriate contour diagrams
to aid you in your sketch.)
4.
(a)
F(x, y) = xy
(b)
F(x, y) = (3x + y)
(c)
F(x, y) = (x2 + y2)
(d)
F(x, y) = (x2 – y)
(e)
F(x, y, z) = (x + 3y + 5z)
(f)
F(x, y, z) = (x2 + y2 + z2)
(a) Show that F(x, y) = (-y, x) is not a gradient vector field.
(b) Show that F(x, y) = (y, x) is a gradient vector field.
5.
Show that (t) = (cos t, sin t) is a flow line of the vector field F(x, y) = -y i + x j. Can
you find other flow lines?
6.
Solve a pair of differential equations to find the equations of the flow lines of
F(x, y) = (2x, 3).
7.
Solve a pair of differential equations to find the equations of the flow lines of
F(x, y) = (x, -y).
8.
Sketch a few flow lines for the vector fields given in question 1.
9.
Define divergence of a vector field F (denoted div F or F).
10.
Compute the divergence of the vector field F(x, y, z) = x2y i + z j + xyz k.
11.
Let V(x, y, z) = x i be the velocity vector field of a fluid in space. Relate the sign of
the divergence with the rate of change of volume under the flow.
12.
Sketch a few flow lines for F(x, y) = y i. Calculate div F and explain why this
answer is consistent with your sketch.
Sketch a few flow lines for F(x, y) = -3x i – yj. Calculate div F and explain why
13.
this answer is consistent with your sketch.
(Marsden) Let (t) be a flow line of a gradient field F (x, y, z) = -g. Prove that
14.
g((t)) is a decreasing function of t.
15.
Matching: (1) F(x, y) = (-x, -y), (2) F(x,y) = (y, -2x), (3) F(x, y) = (4y, -x),
(4) F(x, y) = (x, x2) (5) F(x, y) = (y, x)
5
5
0
0
5
5
5
0
5
5
5
0
5
5
0
5
0
5
5
0
5
5
0
5
1.0
0.5
0.0
0.5
1.0
1.0
0.5
0.0
0.5
1.0
As far as the laws of mathematics refer to reality, they are not certain; as far as
they are certain, they do not refer to reality.
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