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Solution Manual for Introduction to Electrodynamics (5th Edition) by David J. Griffiths

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This complete solution manual provides detailed, step-by-step solutions to all end-of-chapter problems in Introduction to Electrodynamics (5th Edition) by David J. Griffiths. It covers all core topics including electrostatics, electric fields in matter, magnetostatics, electrodynamics, electromagnetic waves, conservation laws, potentials, radiation, and relativistic electrodynamics. Merged from two comprehensive files, this manual is ideal for physics and engineering students needing support in homework, exam preparation, or conceptual understanding of Maxwell’s equations and vector calculus in electromagnetism. griffiths electrodynamics solutions, introduction to electrodynamics 5th edition, electromagnetism solution manual, e&m textbook answers, maxwell’s equations solved, electric and magnetic fields problems, vector calculus in physics, radiation and potentials exercises, relativistic electrodynamics solutions, undergraduate electromagnetism answers, david griffiths physics solutions, physics 2 electromagnetism help, electrodynamics homework support, magnetic fields and materials problems, fifth edition griffiths solutions

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All 12 Chapters Covered




SOLUTIONS

,Contents
1 Vector Analysis 4
2 Electrostatics 26
3 Potential 53
4 Electric Fields in Matter 92
5 Magnetostatics 110
6 Magnetic Fields in Matter 133
7 Electrodynamics 145
8 Conservation Laws 168
9 Electromagnetic Waves 185
10 Potentials and Fields 210
11 Radiation 231
12 Electrodynamics and Relativity 262

,Chapter 1

Vector Analysis

Problem 1.1
✒✣
(a) From the diagram, |B + C| cos ✓3 = |B|cos ✓1 + |C| cos ✓ 2. Multiply by |A|.


}
in θ2
|A||B + C| cos ✓3 = |A||B| cos ✓1 + |A||C| cos ✓ 2.
So: A·(B + C) = A·B + A·C. (Dot product is distributive) |C| s
Similarly: |B + C|sin ✓3 = |B|sin ✓1 + |C|sin ✓2 . Mulitply by |A|n̂. θ2
|A||B + C|sin ✓3n̂ = |A||B|sin ✓1n̂ + |A||C|sin ✓2n̂.
If n̂ is the unit vector pointing out of the page, it follows that θ1
θ3 ✯
B|✲
}
| in θ1
s
A
! "# $ ! |C| cos "#θ2 $
A⇥(B + C) = (A⇥B) + (A⇥C). (Cross product is distributive) |B| cos θ1

(b) For the general case, see G. E. Hay’s Vector and Tensor Analysis, Chapter 1, Section 7 (dot product) and Section 8
(cross product)
Problem 1.2 C
The triple cross-product is not in general associative. For example, ✻
suppose A = B and C is perpendicular to A, as in the diagram. ✲A = B
Then (B⇥C) points out-of-the-page, and ⇥B)A⇥(B⇥C) points down,
= 0, so (A⇥B)⇥C = 0 6= ❂
and has magnitude ABC. But (A B×C
A⇥(B⇥C). ❄
A×(B×C)
Problem 1.3 z ✻
p p
A = +1 x̂ + 1 ŷ 1 ẑ; A = 3; B = 1 x̂ + 1 ŷ + 1 ẑ; B = 3.
p p 1 ✣B
A·B = +1 + 1 1 = 1 = AB cos ✓ = 3 3 cos ✓ )cos ✓= 3. θ
✓ = cos 1 1 ⇡ 70.5288 ✲y
3 ❲
✰ A
x
Problem 1.4
The cross-product of any two vectors in the plane will give a vector perpendicular to the plane. For example, we
might pick the base (A) and the left side (B):
A = 1 x̂ + 2 ŷ + 0 ẑ; B = 1 x̂ + 0 ŷ + 3 ẑ.

, x̂ ŷ ẑ
A⇥B = 1 2 0 = 6 x̂ + 3 ŷ + 2 ẑ.
1 0 3
This has the right direction, but the wrong magnitude. To make a unit vector out of it, simply divide by its
length: p
n̂ = A⇥B = x̂ + ŷ + ẑ .
6 3 2
|A⇥B| = 36 + 9 + 4 = 7.
|A⇥B| 7 7 7

Problem 1.5 ŷ ẑ

A⇥(B⇥C) = Ax Ay Az
(By Cz Bz Cy ) (Bz Cx BxCz ) (BxCy By Cx)
= x̂[Ay (Bx Cy By Cx ) Az (Bz Cx Bx Cz )] + ŷ() + ẑ()
(I’ll just check the x-component; the others go the same way)
= x̂(Ay Bx Cy Ay By Cx Az Bz Cx + Az Bx Cz ) + ŷ() + ẑ().
B(A·C) C(A·B) = [Bx (Ax Cx + Ay Cy + Az Cz ) Cx (Ax Bx + Ay By + Az Bz )] x̂ + () ŷ + () ẑ
= x̂ (Ay BxCy + Az BxCz Ay By Cx Az Bz Cx) + ŷ () + ẑ(). They agree.
Problem 1.6
A⇥(B⇥C)+B⇥(C⇥A)+C⇥(A⇥B) = B(A·C) C(A·B)+C(A·B) A(C·B)+A(B·C) B(C·A) = 0. So: A⇥(B⇥C)
(A⇥B)⇥C = B⇥(C⇥A) = A(B·C) C(A·B).
If this is zero, then either A is parallel to C (including the case in which they point in opposite directions, or one is
zero), or else B·C = B·A = 0, in which case B is perpendicular to A and C (including the case B = 0.)
Conclusion:
A⇥(B⇥C) = (A⇥B)⇥C () either A is parallel to C, or B is perpendicular to A and C.
Problem 1.7
= (4 x̂ + 6 ŷ + 8 ẑ) (2 x̂ + 8 ŷ + 7 ẑ) =
2 x̂ 2 ŷ + ẑ
p
= 4+4+1 = 3
ˆ = = 2x̂ 2ŷ + 1ẑ
3 3 3
Problem 1.8
(a) Āy B̄y + Ā z B̄z = (cos Ay + sin Az )(cos By + sin Bz ) + ( sin Ay + cos Az )( sin By + cos Bz )
= cos2 Ay By + sin cos (Ay Bz + Az By ) + sin2 Az Bz + sin2 AyBy sin cos (Ay Bz + Az By ) + cos2 AzBz
= (cos2 + sin2 )AyBy + (sin2 + cos2 )Az Bz = Ay By + Az Bz . X
(b) (Ax)2 + (Ay)2 + (Az)2 = Σ3 AiAi = Σ3 i=1 3 j=1 Rij Aj Σ3 k=1 RikAk = Σj,k (ΣiRij Rik) Aj Ak .
Σ ⇢
This equals A2 + A2 + A2 provided Σi=1 3
Rij Rik = 1 if j = k
x y z i=1
0 if j 6= k
Moreover, if R is to preserve lengths for all vectors A, then this condition is not only sufficient but also
necessary.2
For2
suppose
2
A = (1, 0, 0). Then Σj,k (Σi Rij Rik) Aj Ak = Σi Ri1Ri1, and this must equal 1 (since we
want Ax +Ay +Az = 1). Likewise, Σ3 i=1 Ri2Ri2 = Σ
3
i=1 Ri3Ri3 = 1. To check the case j 6= k, choose A = (1, 1, 0).
Then we want 2 = Σj,k (Σi Rij Rik) Aj Ak = Σi Ri1Ri1 + Σi Ri2Ri2 + Σi Ri1Ri2 + Σi Ri2Ri1. But we already
know that the first two sums are both 1; the third and fourth are equal, so Σi Ri1Ri2 = Σi Ri2Ri1 = 0, and so on for other
unequal combinations of j, k. X In matrix notation: R̃R = 1, where R̃ is the transpose of R.

,Problem 1.9 z ′✻
✻y
y✻
✿ ❃
Looking down the axis: ✒ ❄
✲x ■

z &&y ′
z✰✰′ x
x
A 120 rotation carries the z axis into the y (= z) axis, y into x (= y), and x into z (= x). So Ax = Az , Ay = Ax, Az =
Ay .
0 1
001
R = @1 0 0A
0 1 0

Problem 1.10
(a)
No change. (Ax = Ax, Ay = Ay, Az = Az)
(b) A ! A, in the sense (A = A , A = A , A = A )
x x y y z z
(c) (A⇥B) ! ( A)⇥( B) = (A⇥B). That is, if C = A⇥B, C ! C . No minus sign, in contrast to behavior of an
“ordinary” vector, as given by (b). If A and B are pseudovectors, then (A⇥B) ! (A)⇥(B) = (A⇥B). So the cross-product
of two pseudovectors is again a pseudovector. In the cross-product of a vector and a pseudovector, one changes sign,
the other doesn’t, and therefore the cross-product is itself a vector. Angular momentum (L = r⇥p) and torque (N =
r⇥F) are pseudovectors.
(d) A·(B⇥C) !( A)·(( B)⇥( C)) = A·(B⇥C). So, if a = A·(B⇥C), then a pseudoscalar
changes sign under inversion of coordinates.
Problem 1.11 a ! a;
(a)rf = 2x x̂ + 3y 2 ŷ + 4z 3 ẑ

(b)rf = 2xy 3 z 4 x̂ + 3x2 y 2 z 4 ŷ + 4x2 y 3 z 3 ẑ

(c)rf = ex sin y ln z x̂ + ex cos y ln z ŷ + ex sin y(1/z) ẑ

Problem 1.12
(a) rh = 10[(2y 6x 18) x̂ + (2x 8y + 28) ŷ]. rh = 0 at summit, so
2y 6x 18 = 0 18 24y + 84 = 0.
2y
2x 8y + 28 = 0 =) 6x 24y + 84 = 0
22y = 66 =) y = 3 =) 2x 24 + 28 = 0 =) x = 2.
Top is 3 miles north, 2 miles west, of South Hadley.
(b) Putting in x = 2, y = 3:
h = 10( 12 12 36 + 36 + 84 + 12) = 720 ft.
(c) Putting in x = 1, y = 1: rh = 10[(2 6 18) x̂ + (2 8 + 28) ŷ] = 10( 22 x̂ + 22 ŷ) = 220( x̂ + ŷ).
p
|rh| = 220 2 ⇡ 311 ft/mile; direction: northwest.

,Problem 1.13
p
= (x x0 ) x̂ + (y y 0 ) ŷ + (z z 0 ) ẑ; = (x x0 )2 + (y y 0 )2 + (z z 0 )2 .
(a) r( 2 ) = @ [(x x0 )2+(y y 0 )2+(z z 0 )2 ] x̂+ @
() ŷ+ @ () ẑ = 2(x x0 ) x̂+2(y y 0 ) ŷ+2(z z 0 ) ẑ = 2 .
@x @y @z

1 1 1
1 @ @ @
(b) r( )= [(x x0 )2 + (y y 0 )2 + (z z 0 )2 ] 2 x̂ + () 2 ŷ + () 2
@x @y @z
z 0 ) ẑ
1 3 1 3 1 3
= () 2 2(x x0 ) x̂ () 2 2(y y 0 ) ŷ () 2 2(z
2 3 2 2
= () 2[(x x0 ) x̂ + (y y 0 ) ŷ + (z z 0 ) ẑ] = (1/ 3
) = (1/ 2
)ˆ.
(c) @ ( n) = n n 1@
=n n 1( 1
1
2 x) = n
n 1 ˆ x, so
@x @x 2
r( n) = n n 1 ˆ
Problem 1.14
y = +y cos + z sin ; multiply by sin : y sin = +y sin cos + z sin2 . z = y sin
+ z cos ; multiply by cos : z cos = y sin cos + z cos2 . Add: y sin + z cos =
2
z(sin
@y
+ cos2 ) =@yz. Likewise, y cos
@z
z sin @z= y.
So )
@y = cos ; @z = sin ; @y = sin ; @z = cos . Therefore
(rf)y = @y = @y @y + @z @y = + cos (rf)y + sin (rf)z
@ ff
@ @ ff @y
@ @y @ff @z
@ @z So rf transforms as a vector. qed
(rf)z = @z = @y @z + @z @z = sin (rf)y + cos (rf)z
Problem 1.15
(a)r·va = @ (x2) + @
(3xz2) + @
( 2xz) = 2x + 0 2x = 0.
@x @y @z
@ @ @
(b)r·vb = (xy) + (2yz) + (3xz) = y + 2z + 3x.
@x @y @z
@
(c)r·vc = (y 2 ) + @ (2xy + z 2 ) + @
(2yz) = 0 + (2x) + (2y) = 2(x + y)
@x @y @z

Problem 1.16 h i
3
r·v = @
( x)+ @
( y )+ @
(z)= @ x(x2 + y2 + z 2)
2
@x r3 @y r3 @z r3 @x
h i h 3
i
+ @
@y
y(x2 + y2 + z 2 ) 32
+ @
@z
z(x2 + y2 + z 2 ) 2
3 5 3 5 3
= () 2 + x( 3/2)() 2 2x + () 2 + y( 3/2)() 2 2y + () 2
5
+ z( 3/2)() 2 2z = 3r 3 3r 5(x2 + y2 + z 2) = 3r 3 3r 3 = 0.
This conclusion is surprising, because, from the diagram, this vector field is obviously diverging away from the origin.
How, then, can r·v = 0? The answer is that r·v = 0 everywhere except at the origin, but at the origin our
calculation is no good, since r = 0, and the expression for v blows up. In fact, r·v is infinite at that one point, and
zero elsewhere, as we shall see in Sect. 1.5.
Problem 1.17
v@vy = cos@ v vy + sin vz@; vvz z = sin ⇣vy + cos vz@v . ⌘ ⇣ ⌘
@vz @z
y y @v y @y y @z
cos + @v z @y sin . Use result in Prob. 1.14:
@y = cos + @y sin = @y @y + @z @y
@y @y +
@z @y

@y ⌘ ⇣ ⌘
@vy cos +
@vy
sin cos + @vz cos + @vz sin sin .
@vz = @y @z
@ vz ⇣ @y ⌘ @z ⇣ ⌘
@ vy @v y @y @ vy @ z @v z @y @vz @z
cos
@z = @y @z + @z @z sin + @y @z + @z @z
⇣ sin +
@z @z cos =
@v
⌘ ⇣ @vz

sin + @vz @y sin +
@vy sin + y cos
= @y @z
cos cos . So




@z

,@v y @vz @vy
@y cos 2 + @vy
@z sin cos + @v
@yz sin cos + @v
@zz sin 2 + @vy
@y sin 2 @vy
@z sin cos
@y + @z =
— @v
@y sin cos +
z @vz
cos 2
@z
@vy 2 @vz 2 @vy @vz
= cos2 + sin + sin + cos2 = + . X
@y @z @y @z
Problem 1.18

ŷ ẑ@
(a) r⇥va = @@x @
= x̂(0 6xz) + ŷ(0 + 2z) + ẑ(3z 2 0) =
@y @z 6xz x̂ + 2z ŷ + 3z 2 ẑ.
x2 3xz 2 2xz

@ ŷ
@ ẑ@
(b) r⇥vb = @x @y @z
= x̂(0 2y) + ŷ(0 3z) + ẑ(0 x) =
2y x̂ 3z ŷ x ẑ.
xy 2yz 3xz
@x̂ ŷ
@ ẑ@
(c) r⇥vc = @x @y @z
= x̂(2z 2z) + ŷ(0 0) + ẑ(2y 2y) =
0.
y2 (2xy + z 2 ) 2yz
Problem 1.19

y As we go from point A to point B (9 o’clock to 10 o’clock), x
increases, y increases, vx increases, and vy decreases, so @vx/@y > 0,
v while @vy /@y < 0. On the circle, vz = 0, and there is no dependence on
z, so Eq. 1.41 says
v B v ✓ ◆
@v y @vx
r⇥ v = ẑ
@x @y
A x
points in the negative z direction (into the page), as the right hand
z rule would suggest. (Pick any other nearby points on the circle and
v you will come to the same conclusion.) [I’m sorry, but I cannot
remember who suggested this cute illustration.]

Problem 1.20
v = y x̂ + x ŷ; or v = yz x̂ + xz ŷ + xy ẑ; or v = (3x2 z z 3 ) x̂ + 3 ŷ + (x3 3xz 2 ) ẑ;
or v = (sin x)(cosh y) x̂ (cos x)(sinh y) ŷ ; etc.
Problem 1.21 ⇣ ⌘ ⇣ ⌘ ⇣ ⌘
@(fg) @(fg) @(fg)
(i) r(f g) = x̂ + ŷ + ẑ = f @g + g @f x̂ + f @g + g @f ŷ + f @g + g @f ẑ
⇣@x @y ⌘@z ⇣ @x @x ⌘ @y @y @z @z
= f @g @g @g @f @f @f

@x x̂ + @y ŷ + @z ẑ + g @x x̂ + @y ŷ + @z ẑ = f (rg) + g(rf ). qed
@
(iv) r·(A⇥B) = ( @ @
@ Ay Bz Az By ) + @y(Az Bx AxB z ) + (A B Ay B x)
@z x y
= A@xy
⇣ @Bz @Ay @By @A⌘
z @ x⌘ Az @x By @x + Az @y ⇣
@Az @Bx z ⇣z
@B
Bz @A x
= Bx @Axz + B@B @A @A @A
+ Bx @A
@yx
Ax @y @B z @ y⌘
@B
+Ax @z y y+ B+ yBy@zx Ay @z x zBx @ z
@A x @B@A @A y y y

@y @z @z @x @y
—Ax @y @z
@x
⇣ + B z

Az @By @Bx
@z @x @x @y
= B· (r⇥A) A· (r⇥B). qed
⇣ ⌘ ⇣ ⌘ ⇣ ⌘
(v) r⇥ (fA) = @ (fAz) @ (fAy) x̂ + @ (fAx) @ (fAz) ŷ + @ (fAy) @(fAx)

@y @z @z @x @x @y

, ⇣ ⌘ ⇣ @Az

= f @A z + Az
@f
@y f@@A
z
y
Ay @f x̂ + f @Ax + Ax @ z
@f f@x Az @f ŷ
@y ⇣ @z ⌘@z @x

h⇣
@A y
+ f @x⌘+ Ay @x f @y@f @A x A @f
x ⇣ ẑ ⌘i
@Ay @Az @y
= f @ Az x̂ + @Ax @Ay

@ Ax
⇣ẑ
@y @z @z ŷ + @x @y
h⇣ ⌘ ⇣@x ŷ + Ax ⌘i
—Ay
x
x̂ + A z ẑ
Ay @f @ z Az @y @f @f A
@x @z
@f @f
@y
@f
@x
= f (r⇥A) A⇥ (rf). qed
Problem 1.22 ⇣ ⌘ ⇣ ⌘
@B @By @B
(a) (A·r) B = Ax @Bx + Ay @Bx + Az @Bx x̂ + Ax y + Ay ⌘ + Az y ŷ
@x ⇣ @y @z @Bz
@x @y @z
@B ẑ.
+ Ax @Bz z

@x
+ Ay @y + Az @z
x x̂+y ŷ+z ẑ
(b) r̂ = r =
r
p ⇣ . Let’s just do the x⌘component.
x12+y2+z2
[(r̂·r)r̂] =
p
x @
+ y @ +z @ p x
x @x @y @z x2 +y2 +z2
n h i h i h io
= 11r xx 1
+ x(3 2) (1p 2)3 2x1 2 + yx1 x 2 1(p x)3 2y
p1
1
2
+ zx 2 1(p )3 2z
2 2
1
1 x x
=
r r r3
x + xy + xz = r r r3 x + y + z =r r r = 0.
Same goes for the other components. Hence: (r̂·r) r̂ = 0 .
⇣ + 3xz2 @ ⌘
(c) (va·r) vb = x2 @ 2xz @ (xy x̂ + 2yz ŷ + 3xz ẑ)
@x @y @z
= x2 (y x̂ + 0 ŷ + 3z ẑ) + 3xz 2 (x x̂ + 2z ŷ + 0 ẑ) 2xz (0 x̂ + 2y ŷ + 3x ẑ)
= x2 y + 3x2 z 2 x̂ + 6xz 3 4xyz ŷ + 3x2 z 6x2 z ẑ
= x2 y + 3z 2 x̂ + 2xz 3z 2 2y ŷ 3x2 z ẑProblem
1.23
@
(ii) [r(A·B)] = x (A@x
xBx + Ay By + Az Bz) = @Ax @B y @Bxx
@B @Ay @Bx @B
@B zy @Az @Bz
@x Bx + Ax @x + @x By + Ay @x + @x Bz + Az
— Az
@x
[A⇥(r⇥B)]x = Ay (r⇥B)z@AyAz (r⇥B)
@Ax y = Ay @Ax
@x @Az
@y @z @x

[B⇥(r⇥A)]
[(A·r)B] = xA= By + A B =—ABz + Az
@y @z @x
@x +Ax @x y z @z x x @x + Ay @y @z
x @ @y @ @ @Bx @Bx @Bx
@Ax @Ax
[(B·r)A]x = Bx @x +
@ABxy @y + Bz @z
So [A⇥(r⇥B) + @B
B⇥(r⇥A)@B+ (A·r)B @B + (B·r)A]x@A
= Ay @By x x z y @Ax @Ax
+ Bz
@Az
Ay Az + Az + By B y @y@AxBz @z @x
+Ax @B
@x x @y
@Bx @z
@Bx @x @Ax @x @Ax
+
@x + Ay @y + Az @z + Bx@
+
y @x +@ yBy @y Bz @z /@
y / / + /
@
y
@x + Ax @x + By @x
+ Ay @x
= Bx @Ax /
@
z
@ Bx
/ @A + Az @A@/z
@
z
y x @Ax @By
/
@
z
@ Bx @Bx

@x + + @x +
@Ax
+Bz + @Az @Ax @Bx @Bz @Bx

= [r(A·B)]x (same
(vi) [r⇥(A⇥B)] for y(A⇥B)
and z)
x = y z
@ @z (A⇥B)
@
y = @y (A xBy
@
Ay B x ) @z (Az Bx AxBz )
@
@@A @B y @A y @ Bx @ Bx
@ Az @ Ax @ Bz
= x
@y + Bz + Ax
By + Ax @y @y @y Bx Ay @z Bx Az @z @z @z
[(B·r)A (A·r)B@A
+ xA(r·B) @AB(r·A)] x @Bx
= Bx @Ax x @Bx @Bx @Bx @By @Bz @Ax @Ay @Az
@x + By @y + Bz @z Ax @x Ay @y Az @z
+ Ax @x
+ @y
+ @z Bx @x
+ @y
+ @z

, @y
+ Ax /
@
x
+ /
@
x
+ + + Bx
@x /
@y
@y @z
= By @Ax @Bx @Bx @ By @Bz
@z
@Ax
@x/ @Ax @Ay @Az
@B x @B x
+ Ay + Az
@y
+ Bz@z @Ax @z
= [r⇥( A⇥B)]x (same for y and z)
Problem 1.24
r(f/g) = @ (f/g) x̂ + @
(f/g) ŷ + @
(f/g) ẑ
@x@f @g
@y @f @g @z @f @g
g @y f @y g @z f @z
= h g⇣f2@x
g @x
x̂ @f g2 ŷ⌘ ⇣g2 ˆ ⌘i
1 @f @f + @g grf frg
= g+ z @g @g

g2 @x x̂ + @y ŷ + @z ẑ f @x x̂ + @y ŷ + @z ẑ = g2 . qed
r·(A/g) = @ (Ax/g) + @ (Ay/g) + @ (Az/g)
@x@ Ax @y @Ay
@z @ Az
@g @g @g
g Ay @y g Az @x
=
g h
@x ⇣A2x @x + @Ay
@y
g2 ⌘ +⇣
@z
g2 ⌘i ·A A·rg
1 g@A x
= g @Az @g @g
= gr
+ @y + @z — A x@g + Ay @y + Az @z . qed
[r⇥(A/g)]x = y (Az /g) @z (Ay /g)
g2 @x @x g2
@ @
@ @Az @Ay
@g
g Az @ g g A
h@y⇣ 2 @y @z y @z
= ⌘ g2 ⇣
= 1 g
g @Az @Ay @g ⌘i
@g
g2 @y @z — Az @y
Ay @z
⇥ ⇥
g(r A)x +(A
= g2 (same for y and z). qed
Problem 1.25
x̂ ŷ ẑ
(a) A⇥B = x 2y 3z = x̂(6xz) + ŷ(9zy) + ẑ( 2x2 6y 2 )
3y 2x 0
r·(A⇥B) = @ (6xz) + @ (9zy) + @ ( 2x2 6y 2 ) = 6z + 9z + 0 = 15z
⇣ @x ⌘ @y @z ⇣ ⌘
r⇥A = x̂ @ (3z) @ (2y) + ŷ @ (x) @ (3z) + ẑ @ (2y) @ (x) = 0; B·(r⇥A) = 0
⇣ @y ⌘
@z @z @x⇣ @x ⌘ @y
r⇥B = x̂ @ (0) @ ( 2x) + ŷ @ (3y) @ (0) + ẑ @ ( 2x) @ (3y) = 5 ẑ; A·(r⇥B) = 15z
@y @z @z @x @x @y
?
r·(A⇥B) = B·(r⇥A) A·(r⇥B) = 0 ( 15z) = 15z. X
(b) A·B = 3xy 4xy = xy ; r(A·B) = r( xy) = x̂ @ ( xy) + ŷ @ ( xy) = y x̂ x ŷ
@x @y

x̂ ŷ ẑ
A⇥(r⇥B) = x 2y 3z = x̂( 10y) + ŷ(5x); B⇥(r⇥A) = 0
0 0 5
⇣ ⌘
(A·r)B = x @ + 2y @ + 3z @ (3y x̂ 2x ŷ) = x̂(6y) + ŷ( 2x)
⇣ @x ⌘
@y @z
@ @
(B·r)A = 3y @x
2x @y
(x x̂ + 2y ŷ + 3z ẑ) = x̂(3y) + ŷ( 4x)
A⇥(r⇥B) + B⇥(r⇥A) + (A·r)B + (B·r)A
= 10y x̂ + 5x ŷ + 6y x̂ 2x ŷ + 3y x̂ 4x ŷ = y x̂ x ŷ = r·(A·B). X
⇣ ⌘ ⇣ ⌘
(c) r⇥(A⇥B) = x̂ @ ( 2x2 6y 2 ) @ (9zy) + ŷ @ (6xz) @ ( 2x2 6y 2 ) + ẑ @ (9zy) @
(6xz)
@y @z @z @x @x @y
= x̂( 12y 9y) + ŷ(6x + 4x) + ẑ(0) = 21y x̂ + 10x ŷ
r·A = @ (x) + @ (2y) + @ (3z) = 1 + 2 + 3 = 6; r·B = @
(3y) + @
( 2x) = 0
@x @y @z @x @y

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