This document discusses the divergence of a vector field and the divergence theorem. It begins by defining the divergence of a vector field as a measure of how much that field diverges from a given point. It then illustrates the divergence of a vector field can be positive, negative, or zero at a point. The document expresses the divergence in Cartesian, cylindrical, and spherical coordinate systems. It proves the divergence theorem, which states that the outward flux of a vector field through a closed surface is equal to the volume integral of the divergence of the field over the enclosed volume. The document provides two examples applying the divergence theorem to calculate outward fluxes.
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
The gradient of a scalar field, the Physical significance of the gradient, and numerical problems on the gradient of a scalar field
for B.Sc Physics - Mechanics - first year first -semester
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
The gradient of a scalar field, the Physical significance of the gradient, and numerical problems on the gradient of a scalar field
for B.Sc Physics - Mechanics - first year first -semester
It covers all the Maxwell's Equation for Point form(differential form) and integral form. It also covers Gauss Law for Electric Field, Gauss law for magnetic field, Faraday's Law and Ampere Maxwell law. It also covers the reason why Gauss Laws are also known as Maxwell's Equation.
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These slide contains Scalar,Vector fields ,gradients,Divergence,and Curl,Gauss divergence theorem,Stoks theorem,Maxwell electromagnetic equations ,Pointing theorem,Depth of penetration (Skin depth) for graduate and Engineering students and teachers.
We discussed most of what one wishes to learn in vector calculus at the undergraduate engineering level. Its also useful for the Physics ‘honors’ and ‘pass’ students.
This was a course I delivered to engineering first years, around 9th November 2009. But I have added contents to make it more understandable, eg I added all the diagrams and many explanations only now; 14-18th Aug 2015.
More such lectures will follow soon. Eg electromagnetism and electromagnetic waves !
It covers all the Maxwell's Equation for Point form(differential form) and integral form. It also covers Gauss Law for Electric Field, Gauss law for magnetic field, Faraday's Law and Ampere Maxwell law. It also covers the reason why Gauss Laws are also known as Maxwell's Equation.
Maxwells equation and Electromagnetic WavesA K Mishra
These slide contains Scalar,Vector fields ,gradients,Divergence,and Curl,Gauss divergence theorem,Stoks theorem,Maxwell electromagnetic equations ,Pointing theorem,Depth of penetration (Skin depth) for graduate and Engineering students and teachers.
We discussed most of what one wishes to learn in vector calculus at the undergraduate engineering level. Its also useful for the Physics ‘honors’ and ‘pass’ students.
This was a course I delivered to engineering first years, around 9th November 2009. But I have added contents to make it more understandable, eg I added all the diagrams and many explanations only now; 14-18th Aug 2015.
More such lectures will follow soon. Eg electromagnetism and electromagnetic waves !
Establishment of New Special Deductions from Gauss Divergence Theorem in a Ve...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Maxwell's formulation - differential forms on euclidean spacegreentask
One of the greatest advances in theoretical physics of the nineteenth
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such ideas as elements of surface area and volume elements, the work
exerted by a force, the flow of a fluid, and the curvature of a surface,
space or hyperspace. An important operation on differential forms is
exterior differentiation, which generalizes the operators div, grad, curl
of vector calculus. the study of differential forms, which was initiated
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differential calculus.However, Maxwells equations have many very im-
portant implications in the life of a modern person, so much so that
people use devices that function off the principles in Maxwells equa-
tions every day without even knowing it
Published by:
Wang Jing
School of Physical and Mathematical Sciences
Nanyang Technological University
jwang14@e.ntu.edu.sg
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This presentation describes the mathematics of curves and surfaces in a 3 dimensional (Euclidean) space.
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3. INTRODUCTION
• DEFINITION:-
The divergence theorem sates that the total outward flux of a
vector field A through the closed surface S is the same as the volume integral of
the divergence of A.
• It is denoted by divA.
• It is also know as gauss- ostrogradsky theorem.
4. ILLUTRATION OF THE DIVERGENCE
OF AVECTOR AT POINT P
FIGURE : 1 FIGURE: 2 FIGURE: 3
p p
p
5. • Where ∆v is the volume enclose bye the surface S in which P is located.
• Physically, we may regard the divergence of a vector field A at a given point
as measure of how much the field diverges from that point.
• Figure 1 show that the divergence of a vector field ay point P is positive
because the vector diverges at P.
• Figure 2 a vector field has negative divergence at P.
• Figure a vector field has zero divergence at P.
• The divergence of a vector field can be as simply the limit of the field’s
source strength per unit volume.
7. • We wish to evaluate the divergence of a vector field A at point P(𝒙 𝟎, 𝒚 𝟎, 𝒛 𝟎).
• We let the point be enclosed by a differential volume as in figure 4.
• The surface integral is obtain from
• 𝐴 ∙ 𝑑𝑆=( 𝑓𝑟𝑜𝑛𝑡
+ 𝑏𝑎𝑐𝑘
+ 𝑙𝑒𝑓𝑡
+ 𝑟𝑖𝑔ℎ𝑡
+ 𝑡𝑜𝑝
+ 𝑏𝑜𝑡𝑡𝑜𝑚
) A∙dS………..(1)
• A three-dimensional Taylor series expansion of Ax about P is
• A(x, y, z)=𝐴 𝑥(𝑥0, 𝑦0, 𝑧0)+(x-𝑥0)
𝜕𝐴 𝑥
𝜕𝑥
∣ 𝑝+(y-𝑦0)
𝜕𝐴 𝑦
𝜕𝑦
∣ 𝑝+(z-𝑧0)
𝜕𝐴 𝑧
𝜕𝑧
∣ 𝑝+higher term....(2)
8. • For the front side, x =𝑥0+dx/2 and dS = dy dz 𝑎 𝑥. Then,
• 𝑓𝑟𝑜𝑛𝑡
𝐴 ∙ 𝑑𝑆 = dy dz[𝐴 𝑥(𝑥0, 𝑦0, 𝑧0)+
𝑑𝑥
2
𝜕𝐴 𝑥
𝜕𝑥
∣ 𝑝]+higher-order term
• For the back side, x =𝑥0 −dx/2 and dS = dy dz (−𝑎 𝑥). Then,
• 𝑏𝑎𝑐𝑘
𝐴 ∙ 𝑑𝑆 = -dy dz[𝐴 𝑥(𝑥0, 𝑦0, 𝑧0)−
𝑑𝑥
2
𝜕𝐴 𝑥
𝜕𝑥
∣ 𝑝]+higher-order term
• Hence ,
• 𝑓𝑟𝑜𝑛𝑡
𝐴 ∙ 𝑑𝑆 + 𝑏𝑎𝑐𝑘
𝐴 ∙ 𝑑𝑆 = 𝑑𝑥 𝑑𝑦 𝑑𝑧
𝜕𝐴 𝑥
𝜕𝑥
∣ 𝑝+higher-order term…(3)
• By tacking similar step , we obtain
• 𝑙𝑒𝑓𝑡
𝐴 ∙ 𝑑𝑆 + 𝑟𝑖𝑔ℎ𝑡
𝐴 ∙ 𝑑𝑆 = 𝑑𝑥 𝑑𝑦 𝑑𝑧
𝜕𝐴 𝑦
𝜕𝑦
∣ 𝑝+higher-order term…..(4)
9. • and
• 𝑡𝑜𝑝
𝐴 ∙ 𝑑𝑆 + 𝑏𝑢𝑡𝑡𝑜𝑚
𝐴 ∙ 𝑑𝑆 = 𝑑𝑥 𝑑𝑦 𝑑𝑧
𝜕𝐴 𝑧
𝜕𝑧
∣ 𝑝+higher-order term….(5)
• Substituting eqs. 3, 4, 5 into eq. 1 and noting that ∆v=dx dy dz, we gate
• lim
∆v
⇾ 0
𝐴∙𝑑𝑆
∆v
= (
𝜕𝐴 𝑥
𝜕𝑥
+
𝜕𝐴 𝑦
𝜕𝑦
+
𝜕𝐴 𝑧
𝜕𝑧
) ∣ 𝑎𝑡 𝑝……(6)
• Because the higher order will vanish as ∆v ⇾ 𝟎. thus, the divergence of A at
point P(𝒙 𝟎, 𝒚 𝟎, 𝒛 𝟎) in Cartesian system is given by
• 𝛻∙A=
𝜕𝐴 𝑥
𝜕𝑥
+
𝜕𝐴 𝑦
𝜕𝑦
+
𝜕𝐴 𝑧
𝜕𝑧
……(7)
10. • similar the expressions for 𝜵∙A in other coordinate system can be obtained
directly or by transforming eq.7 into the appropriate system.
• In cylindrical coordinate, substituting
• 𝛻∙A=
1
𝜌
𝜕
𝜕𝜌
(𝜌𝐴 𝜌)+
1
𝜌
𝜕𝐴∅
𝜕𝜌
+
𝜕𝐴 𝑧
𝜕𝑧
…….(8)
• In spherical coordinate as
• 𝛻∙A=
1
𝑟2
𝜕
𝜕𝑟
(𝑟2 𝐴 𝑟)+
1
𝑟𝑠𝑖𝑛𝜭
𝜕
𝜕𝜭
(𝐴 𝜭sin𝜭)+
1
𝑟𝑠𝑖𝑛𝜭
𝜕𝐴∅
𝜕∅
…….(9)
11. FULX AND DIVERGENCE THEOREM
• The divergence theorem states that the outward flux of vector field A through
the closed surface s is the same as the volume integral of the divergence of A.
• This is called the divergence theorem, otherwise known as the Gauss-
Ostrogradsky theorem.
• To prove the divergence theorem , subdivide volume v into a large number of
small cell. If the kth cell has volume ∆𝒗 𝒌 and is bounded by surface 𝒔 𝒌.
12. • 𝐴 ∙ 𝑑𝑠 = 𝑘 𝑠 𝑓
𝐴 ∙ 𝑑𝑠 = 𝑘
𝑠 𝑘
𝐴∙𝑑𝑠
∆𝑣 𝑘
∆ 𝑣 𝑘………(10)
• Since the outward flux to one cell is inward to some neighboring cell, there is
cancellation on every interior surface , so the sum of the surface integral over
𝒔 𝒌
′
𝒔 is the same as the surface integral over the surface s. Taking the limit of
the right-hand side of above equation.
• 𝑠
𝐴 ∙ 𝑑𝑠 = 𝑣𝛻
𝛻 ∙ 𝐴 𝑑𝑣 … … … (11)
• Which is divergence theorem. The theory applied to any volume v
bounded by the closed surface S such as that shown in fig.5
13. Figure : 5
• It is provided that A and ∇∙A are continuous in the region.
• With little experience, it will soon become apparent that volume
integral are easier the evaluate than surface integral.
• For this region, to determine the flux of A through a closed surface
we simply find the right hand of eq.11 instead of the left hand side
of the equation.
14. EXAMPLES
EXAMPLE:1 Let Q be the region bounded by the sphere x2 + y2 + z2 = 4.
Find the outward flux of the vector field
F(x, y, z) = 2x3i + 2y3j + 2z3k
through the sphere.
Solution:
By the Divergence Theorem, you have
15.
16. EXAMPLE:2 Let Q be the solid region bounded by the coordinate planes and
the plane 2x + 2y + z = 6, and let F = xi + y2j + zk.
Find
where S is the surface of Q.
Solution:
From Figure 15.56,
you can see that Q is bounded
by four subsurface. FIGURE:6
17. So, you would need four surface integrals to evaluate
However, by the Divergence Theorem, you need only one triple integral.
Because
you have