-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Recap of Vector Calculus
S. R. [email protected]
Department of Electrical & Electronics EngineeringBITS
Pilani, Hyderbad Campus
May 7, 2015
Vector Calculus EE208, School of Electronics Engineering,
VIT
mailto:[email protected]
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Outline
1 Vector Algebra
2 Vector Calculus
3 VC - Differential Elements
4 VC - Differential Operators
5 Divergence & Stokes’ Theorems
6 Summary
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Outline
1 Vector Algebra
2 Vector Calculus
3 VC - Differential Elements
4 VC - Differential Operators
5 Divergence & Stokes’ Theorems
6 Summary
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Norm (Absolute/Modulus/Magnitude)
Definition
Given a vector space V over a subfield F of the complex numbers,
a norm on V is a function ‖‖ :V → R with the following
properties:For all a ∈ F and all~u,~v ∈ V,
1 ‖a~v‖ = |a| ‖~v‖ (positive scalability).
2 ‖~u +~v‖ ≤ ‖~u‖+ ‖~v‖ (triangular inequality)
3 If ‖~v‖ = 0 then~v is the zero vector~0 (separates points)
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Norm - A Few Examples
Euclidean Norm
• On an n-dimensional Euclidean space Rn, the intuitive notion
of length of the vectorx = (x1, x2, . . . , xn) is captured by the
formula
‖x‖2 :=√
x21 + x22 + . . . + x2n. (1)
• On an n-dimensional complex space Cn, the most common norm
is
‖z‖2 :=√|z1|2 + |z2|2 + . . . + |zn|2. (2)
Taxicab Norm / Manhattan Norm
• The name relates to the distance a taxi has to drive in a
rectangular street grid to get from theorigin to the point x. It is
defined as
‖x‖1 :=n
∑i=1|xi| . (3)
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Norm - A Few Examples
Maximum Norm
• Maximum norm is defined as
‖x‖∞ := max (|x1| , |x2| , . . . , |xn|) . (4)
p-norm
• p-norm is defined as
‖x‖p :=(
n
∑i=1|xi|p
)1/p. (5)
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Norm - The Concept of Unit Circle
x 1x 2 x ∞
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Addition & Subtraction
b
b
aaa+
b
Addition
b
b
a-ba-ba
Subtraction
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Dot or Scalar Product
Definition
The dot product of two vectors,~a = [a1, a2, . . . , an] and~b =
[b1, b2, . . . , bn] in a vector space of dimen-sion n is defined
as
~a ·~b =n
∑i=1
aibi = a1b1 + a2b2 + . . . + anbn = ‖~a‖∥∥∥~b∥∥∥ cos θ. (6)
Properties
• ~a ·~b =~b ·~a (commutative)• ~a ·
(~b +~c
)=~a ·~b +~a ·~c (distributive over vector addition)
• ~a ·(
r~b +~c)= r
(~a ·~b
)+~a ·~c (bilinear)
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Dot or Scalar Product - Physical Interpretation
Projection of~a in the direction of~b, ab is given by
ab =~a ·~b∥∥∥~b∥∥∥ (7)
Corollary
If~a ·~b =~a ·~c and~a 6= ~0, then we can write: ~a ·(~b−~c
)= 0 by the distributive law; the result above
says this just means that~a is perpendicular to(~b−~c
), which still allows
(~b−~c
)6=~0, and therefore
~b 6=~c.
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Cross or Vector Product
Definition
The cross product~a×~b is defined as a vector~c that is
perpendicular to both~a and~b, with a directiongiven by the
right-hand rule and a magnitude equal to the area of the
parallelogram that the vectorsspan.
~a×~b =(‖~a‖
∥∥∥~b∥∥∥ sin θ)~n (8)Properties
• ~a×~b = −~b×~a (anti-commutative)• ~a×
(~b +~c
)=~a×~b +~a×~c (distributive over vector addition)
• ~a×(
r~b +~c)= r
(~a×~b
)+~a×~c (bilinear)
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Cross or Vector Product - Physical Interpretation
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Cross or Vector Product - Why the Name CrossProduct?
~a×~b =
∣∣∣∣∣∣x̂ ŷ ẑax ay azbx by bz
∣∣∣∣∣∣
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Scalar Triple Product
Definition
The scalar triple product of three vectors is defined as the dot
product of one of the vectors with thecross product of the other
two,
~a ·(~b×~c
)=~b · (~c×~a) =~c ·
(~a×~b
). (9)
Properties
• ~a ·(~b×~c
)= −~a ·
(~c×~b
)• ~a ·
(~b×~c
)=
∣∣∣∣∣∣a1 a2 a3b1 b2 b3c1 c2 c3
∣∣∣∣∣∣
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Scalar Triple Product - Physical Interpretation
base
a
bcθ
hα
Corollary
If the scalar triple product is equal to zero, then the three
vectors~a,~b, and~c are coplanar, since theparallelepiped defined
by them would be flat and have no volume.
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Vector Triple Product
Definition
The vector triple product is defined as the cross product of one
vector with the cross product of theother two,
~a×(~b×~c
)=~b (~a ·~c)−~c
(~a ·~b
). (10)
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Vectors - Independency & Orthogonality
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Outline
1 Vector Algebra
2 Vector Calculus
3 VC - Differential Elements
4 VC - Differential Operators
5 Divergence & Stokes’ Theorems
6 Summary
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Remember Complex Numbers?
Cartesian Polar
Euler’s formula is our jewel and one of the most remarkable,
almost astounding, formulas in all
of mathematics - Richard Feynman
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Typical 2D Coordinate Systems
Cartesian Polar
x = ρ cos φ
y = ρ sin φρ =
√x2 + y2
φ = tan−1( y
x
)
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
2D Coordinate Transformations
[AρAφ
]=
[cos φ sin φ− sin φ cos φ
] [AxAy
][
AxAy
]=
[cos φ − sin φsin φ cos φ
] [AρAφ
]
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Typical 3D Coordinate Systems (RHS)
X
Y
Z
Oxy
z
(x,y,z)
Cartesian
O
ρφ
z
(ρ,φ,z)
X
Y
Z
Cylendrical
x = ρ cos φ
y = ρ sin φ
z = z
ρ =√
x2 + y2
φ = tan−1( y
x
)z = z
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Typical 3D Coordinate Systems (RHS)
Spherical
x = r sin θ cos φ
y = r sin θ sin φ
z = r cos θ
r =√
x2 + y2 + z2
θ = cos−1(
z√x2 + y2 + z2
)
φ = tan−1( y
x
)
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Cross Product of Standard Basis Vectors
O
ρφ
z
(ρ,φ,z)
X
Y
Z
x̂× ŷ = ẑŷ× ẑ = x̂ẑ× x̂ = ŷx̂× x̂ = 0̂
ρ̂× φ̂ = ẑφ̂× ẑ = ρ̂ẑ× ρ̂ = φ̂ρ̂× ρ̂ = 0̂
and so on ...
r̂× θ̂ = φ̂θ̂ × φ̂ = r̂φ̂× r̂ = θ̂r̂× r̂ = 0̂
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Dot Product of Standard Basis Vectors
O
ρφ
z
(ρ,φ,z)
X
Y
Z
x̂ · x̂ = ŷ · ŷ = ẑ · ẑ = 1x̂ · ŷ = ŷ · ẑ = x̂ · ẑ =
0
ρ̂ · ρ̂ = φ̂ · φ̂ = ẑ · ẑ = 1ρ̂ · φ̂ = φ̂ · ẑ = ẑ · ρ̂ =
0
r̂ · r̂ = θ̂ · θ̂ = φ̂ · φ̂ = 1r̂ · θ̂ = θ̂ · φ̂ = φ̂ · r̂ =
0
and so on ...
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
3D Coordinate TransformationsCartesian⇐⇒ Cylindrical
O
ρφ
z
(ρ,φ,z)
X
Y
Z
AρAφAz
= cos φ sin φ 0− sin φ cos φ 0
0 0 1
AxAyAz
AxAy
Az
= cos φ − sin φ 0sin φ cos φ 0
0 0 1
AρAφAz
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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3D Coordinate TransformationsCartesian⇐⇒ Spherical
ArAθAφ
= sin θ cos φ sin θ sin φ cos θcos θ cos φ cos θ sin φ − sin
θ
− sin φ cos φ 0
AxAyAz
AxAy
Az
= sin θ cos φ cos θ cos φ − sin φsin θ sin φ cos θ sin φ cos
φ
cos θ − sin θ 0
ArAθAφ
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
3D Coordinate TransformationsCylindrical⇐⇒ Spherical
O
ρφ
z
(ρ,φ,z)
X
Y
Z
ArAθAφ
= sin θ 0 cos θcos θ 0 − sin θ
0 1 0
AρAφAz
AρAφ
Az
= sin θ cos θ 00 0 1
cos θ − sin θ 0
ArAθAφ
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Would you like to see a few more coordinate systems?
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Parabolic Coordinate System
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Curvilinear Coordinate System
e1
e2
b1
b2
b1
b2
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Outline
1 Vector Algebra
2 Vector Calculus
3 VC - Differential Elements
4 VC - Differential Operators
5 Divergence & Stokes’ Theorems
6 Summary
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Infinitesimal Differential Elements - Cartesian - ~dl
~dl = dxx̂ + dyŷ + dzẑ
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Infinitesimal Differential Elements - Cartesian - ~ds
~ds = ±dxdyẑ (or) ± dydzx̂ (or) ± dzdxŷ
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Infinitesimal Differential Elements - Cartesian - dv
dv = dxdydz
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Infinitesimal Differential Elements - Cylindrical - ~dl
~dl = dρρ̂ + ρdφφ̂ + dzẑ
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Infinitesimal Differential Elements - Cylindrical - ~ds
~ds = ±ρdφdρẑ
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Infinitesimal Differential Elements - Cylindrical - ~ds
~ds = ±ρdφdzρ̂
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Infinitesimal Differential Elements - Cylindrical - dv
dv = ρdρdφdz
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Infinitesimal Differential Elements - Spherical - ~dl
~dl = drr̂ + rdθθ̂ + r sin θdφφ̂
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Infinitesimal Differential Elements - Spherical - ~ds
~ds = ±r2 sin θdθdφr̂
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Infinitesimal Differential Elements - Spherical - dv
dv = r2 sin θdrdθdφ
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Outline
1 Vector Algebra
2 Vector Calculus
3 VC - Differential Elements
4 VC - Differential Operators
5 Divergence & Stokes’ Theorems
6 Summary
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Divergence
Definition
The divergence of a vector field ~F at a point P is defined as
the limit of the net flow of ~F across thesmooth boundary of a
three dimensional region V divided by the volume of V as V shrinks
to P.Formally,
div(~F (P)
)= ∇ ·~F = lim
V→{P}
‹S(V)
~F · n̂|V| ds = limV→{P}
‹S(V)
~F · ~ds|V| . (11)
Properties
• ∇ ·(
k1~A + k2~B)= k1∇ ·~A + k2∇ ·~B (linearity)
• ∇ ·(
w~A)= w∇ ·~A +~A · ∇w
• ∇ ·(~A×~B
)= ~B ·
(∇×~A
)−~A ·
(∇×~B
)
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Divergence - Physical Interpretation
V
Sn
nn
n
∇ ·~F = ∂Fx∂x
+∂Fy∂y
+∂Fz∂z
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Curl
Definition
If n̂ is any unit vector, the curl of ~F is defined to be the
limiting value of a closed line integral ina plane orthogonal to n̂
as the path used in the integral becomes infinitesimally close to
the point,divided by the area enclosed.
curl(~F (P)
)= ∇×~F = lim
A→0
˛C
~F · ~dl|A| n̂. (12)
Properties
• ∇×(
k1~A + k2~B)= k1∇×~A + k2∇×~B (linearity)
• ∇×(
w~A)= w∇×~A−~A×∇w
• ∇×(~A×~B
)=[~A(∇ ·~B
)−~B
(∇ ·~A
)]−[(
~A · ∇)~B−
(~B · ∇
)~A]
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
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Curl - Physical Interpretation
∇×~F =(
∂Fz∂y−
∂Fy∂z
)x̂ +
(∂Fx∂z− ∂Fz
∂x
)ŷ +
(∂Fy∂x− ∂Fx
∂y
)ẑ
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Gradient
Definition
In vector calculus, the gradient of a scalar field is a vector
field that points in the direction of thegreatest rate of increase
of the scalar field, and whose magnitude is that rate of
increase,
grad (w) = ∇w = ∂w∂x
x̂ +∂w∂y
ŷ +∂w∂z
ẑ. (13)
Properties
• ∇ (k1v + k2w) = k1∇v + k2∇w (Linearity)• ∇ (vw) = v∇w + w∇v
(Product Rule)
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
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Gradient - Physical Interpretation
∇w = ∂w∂x
x̂ +∂w∂y
ŷ +∂w∂z
ẑ
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Vector Algebra Vector Calculus VC - Differential Elements VC -
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Solenoidal and Lamellar Fields
Definition
In vector calculus a solenoidal vector field (also known as an
incompressible vector field) is a vectorfield~v with divergence
zero at all points in the field:
∇ ·~v = 0. (14)
Definition
A vector field is said to be lamellar or irrotational if its
curl is zero. That is, if
∇×~v =~0. (15)
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
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Curvilinear Coordinate Systems - Divergence, Curl,and
Gradient
∇ ·~v = 1h1h2h3
[∂
∂q1(h2h3v1) +
∂
∂q2(h3h1v2) +
∂
∂q3(h1h2v3)
]
∇×~v = 1h1h2h3
∣∣∣∣∣∣h1 q̂1 h1 q̂2 h1 q̂3
∂∂q1
∂∂q2
∂∂q3
h1v1 h2v2 h3v3
∣∣∣∣∣∣∇w = ∑
i
(q̂i
1hi
∂w∂qi
)
where
• when (q1, q2, q3) = (x, y, z) =⇒ (h1, h2, h3) = (1, 1, 1),•
when (q1, q2, q3) = (ρ, φ, z) =⇒ (h1, h2, h3) = (1, ρ, 1), and•
when (q1, q2, q3) = (r, θ, φ) =⇒ (h1, h2, h3) = (1, r, r sin
θ).
Vector Calculus EE208, School of Electronics Engineering,
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Second Order Derivatives - DCG Chart
∇2w = 4w = ∇ · (∇w)
∇×∇×~A = ∇(∇ ·~A
)−∇2~A
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Vector Algebra Vector Calculus VC - Differential Elements VC -
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Scalar Laplacian - Curvilinear Coordinate System
∇2w = 1h1h2h3
[∂
∂q1
(h2h3h1
∂w∂q1
)+
∂
∂q2
(h3h1h2
∂w∂q2
)+
∂
∂q3
(h1h2h3
∂w∂q3
)]
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Outline
1 Vector Algebra
2 Vector Calculus
3 VC - Differential Elements
4 VC - Differential Operators
5 Divergence & Stokes’ Theorems
6 Summary
Vector Calculus EE208, School of Electronics Engineering,
VIT
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Open and Closed Surfaces
‚&˝ ˜
&¸
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
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Divergence Theorem
Definition
Suppose V is a subset of Rn (in the case of n = 3, V represents
a volume in 3D space) which is compactand has a piecewise smooth
boundary S. If~F is a continuously differentiable vector field
defined ona neighborhood of V, then we have
˚V
(∇ ·~F
)dv =
‹S
(~F · n̂
)ds =
‹S~F · ~ds. (16)
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
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Divergence Theorem - Physical Interpretation
[F (y + ∆y)− F (y)]∆x∆z =(∇ ·~F
)vol1× vol1
[F (y + 2∆y)− F (y + ∆y)]∆x∆z =(∇ ·~F
)vol2× vol2
Sum : [F (y + 2∆y)− F (y)]∆x∆z = ∑i
(∇ ·~F
)voli× voli
Vector Calculus EE208, School of Electronics Engineering,
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Vector Algebra Vector Calculus VC - Differential Elements VC -
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Stokes’ Theorem
Definition
The surface integral of the curl of a vector field over a
surface S in Euclidean three-space is relatedto the the line
integral of the vector field over its boundary as
¨S
(∇×~F
)· ~ds =
˛C~F · ~dl. (17)
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Vector Algebra Vector Calculus VC - Differential Elements VC -
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Stokes’ Theorem - Physical Interpretation
˛1=(∇×~F
)1· ~ds1
˛2=(∇×~F
)2· ~ds2
Sum : ∑i
˛i= ∑
i
(∇×~F
)i· ~dsi
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Outline
1 Vector Algebra
2 Vector Calculus
3 VC - Differential Elements
4 VC - Differential Operators
5 Divergence & Stokes’ Theorems
6 Summary
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Important Vectorial Identities
• A · B = B ·A = ‖A‖ ‖B‖ cos θ• AB = A·B‖B‖ B‖B‖
• A× B = −B×A = (‖A‖ ‖B‖ sin θ)~n =∣∣∣∣∣∣
x̂ ŷ ẑAx Ay AzBx By Bz
∣∣∣∣∣∣• A · (B×C) = B · (C×A) = C · (A× B) =
∣∣∣∣∣∣Ax Ay AzBx By BzCx Cy Cz
∣∣∣∣∣∣• A× (B×C) = B (A ·C)−C (A · B)• (A× B) · (C×D) = (A ·C)
(B ·D)− (B ·C) (A ·D) ***• (A× B)× (C×D) = (A · B×D)C− (A · B×C)D
***
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Coordinate Transformations (Point)
x = ρ cos φ
y = ρ sin φ
ρ =√
x2 + y2
φ = tan−1( y
x
)x = r sin θ cos φ
y = r sin θ sin φ
z = r cos θ
r =√
x2 + y2 + z2
θ = cos−1(
z√x2 + y2 + z2
)
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Coordinate Transformations (Vector)
AρAφAz
= cos φ sin φ 0− sin φ cos φ 0
0 0 1
AxAyAz
AxAy
Az
= cos φ − sin φ 0sin φ cos φ 0
0 0 1
AρAφAz
ArAθ
Aφ
= sin θ cos φ sin θ sin φ cos θcos θ cos φ cos θ sin φ − sin
θ
− sin φ cos φ 0
AxAyAz
AxAy
Az
= sin θ cos φ cos θ cos φ − sin φsin θ sin φ cos θ sin φ cos
φ
cos θ − sin θ 0
ArAθAφ
ArAθ
Aφ
= sin θ 0 cos θcos θ 0 − sin θ
0 1 0
AρAφAz
AρAφ
Az
= sin θ cos θ 00 0 1
cos θ − sin θ 0
ArAθAφ
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Differential Elements
Cartesian Coordinate System:
~dl = dxx̂ + dyŷ + dzẑ
~ds = ±dxdyẑ (or) ± dydzx̂ (or) ± dzdxŷdv = dxdydz
Cylindrical Coordinate System:
~dl = dρρ̂ + ρdφφ̂ + dzẑ
~ds = ±ρdφdρẑ (or) ± ρdφdzρ̂dv = ρdρdφdz
Spherical Coordinate System:
~dl = drr̂ + rdθθ̂ + r sin θdφφ̂
~ds = ±r2 sin θdθdφr̂dv = r2 sin θdrdθdφ
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Divergence, Curl, and Gradient
∇ ·~v = 1h1h2h3
[∂
∂q1(h2h3v1) +
∂
∂q2(h3h1v2) +
∂
∂q3(h1h2v3)
]
∇×~v = 1h1h2h3
∣∣∣∣∣∣h1 q̂1 h2 q̂2 h3 q̂3
∂∂q1
∂∂q2
∂∂q3
h1v1 h2v2 h3v3
∣∣∣∣∣∣∇w = ∑
i
(q̂i
1hi
∂w∂qi
)
∇2w = 1h1h2h3
[∂
∂q1
(h2h3h1
∂w∂q1
)+
∂
∂q2
(h3h1h2
∂w∂q2
)+
∂
∂q3
(h1h2h3
∂w∂q3
)]
where,
(q1, q2, q3) (v1, v2, v3) (h1, h2, h3)
Catersian (x, y, z)(vx, vy, vz
)(1, 1, 1)
Cylindrical (ρ, φ, z)(vρ , vφ , vz
)(1, ρ, 1)
Spherical (r, θ, φ)(vr, vθ , vφ
)(1, r, r sin θ)
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Important Differential Identities
• ∇ (vw) = v∇w + w∇v• ∇ (A · B) =
(A · ∇)B + (B · ∇)A + A× (∇× B) + B× (∇×A)***
• ∇ · (wA) = w∇ ·A + A · ∇w• ∇ · (A× B) = B · (∇×A)−A · (∇× B)•
∇× (wA) = w∇×A−A×∇w ***• ∇× (A× B) =
[A (∇ · B)− B (∇ ·A)]− [(A · ∇)B− (B · ∇)A] ***• ∇×∇×A = ∇ (∇
·A)−∇2A• ∇ |r| = r|r| ***• ∇ 1|r| = − r|r|3 ***
• ∇.(
r|r|3
)= −∇2
(1|r|
)= 4πδ (r) ***
Vector Calculus EE208, School of Electronics Engineering,
VIT
-
Vector Algebra Vector Calculus VC - Differential Elements VC -
Differential Operators Divergence & Stokes’ Theorems
Summary
Important Integral Identities
• ˝V(∇ ·~F
)dv =
‚S~F · ~ds (Divergence Theorem)
• ˜S(∇×~F
)· ~ds =
¸C~F · ~dl (Stokes’ Theorem)
Vector Calculus EE208, School of Electronics Engineering,
VIT