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Chapter 6 Vector analysis ( 벡터 해석 ) Mathematical methods in the physical sciences 3rd edition Mary L. Boas Lecture 18 Basic vector analysis.

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Presentation on theme: "Chapter 6 Vector analysis ( 벡터 해석 ) Mathematical methods in the physical sciences 3rd edition Mary L. Boas Lecture 18 Basic vector analysis."— Presentation transcript:

1 Chapter 6 Vector analysis ( 벡터 해석 ) Mathematical methods in the physical sciences 3rd edition Mary L. Boas Lecture 18 Basic vector analysis

2 1. Introduction Vector function, Vector calculus, ex. Gauss’s law

3 2. Application of vector multiplication ( 벡터곱의 응용 ) a) Work b) Torque c) Angular velocity 1) Dot product 2) Cross product - Example

4 1) Triple scalar product ( 삼중 스칼라곱 ) 3. Triple products ( 삼중곱 ) cf. volume of unit cell for reciprocal vectors “Volume of the parallelepipe”

5 So, it does not matter where the dot and cross are. - An interchange of rows changes just the sign of a determinant.

6 some vector in the plane of B and C 2) Triple vector product ( 삼중 벡터곱 ) Prove this! (Vector equation is true independently of the coordinate system.)

7 3) Application of the triple scalar product “Torque” This question is in one special case, namely when r and F are in a plane perpendicular to the axis.

8 4) Application of the triple vector product Angular momentum Centripetal acceleration

9 4. Differentiation of vectors ( 벡터의 미분 ) Example 1. 1) Differentiation of a vector

10 2) Differentiation of product

11 Example 2. Motion of a particle in a circle at constant speed Differentiating the above equations, “two vectors are perpendicular”

12 3) Other coordinates (e.g., polar) constant in magnitude and direction constant in magnitude, but directions changes

13 Example 3.

14 Chapter 6 Vector analysis Mathematical methods in the physical sciences 3rd edition Mary L. Boas Lecture 19 Directional derivative; Gradient

15 5. Fields ( 장 ) Field: region + the value of physical quantity in the region ex) electric field, gravitational field, magnetic field

16 6. Directional derivative: gradient ( 방향 도함수 ; 기울기벡터 ) The change of temperature with distance depends on the direction.  directional derivative (directional derivative for u: directional unit vector) 1) definition of directional derivative

17 Example 1. Find the directional derivative

18 2) Meaning of gradient : along it the change (slope) is fastest (steepest).

19 3) Relation between scalar function and gradient “The vector grad.  is perpendicular to the surface  =const.”

20 Example 3. surface x^3y^2z=12. find the tangent plane and normal line at (1,-2,3)

21 4) other coordinates (e.g., polar) cf. Cylindrical & Spherical coord. cylindrical spherical

22 7. Some other expressions involving grad. ( 을 포함하는 다른 표현들 ) 1) vector operator 2) divergence of V 3) curl of V

23 4) Laplacian

24 5) and etc.

25 Chapter 6 Vector analysis Mathematical methods in the physical sciences 3rd edition Mary L. Boas Lecture 20 Line integral & Green’s theorem

26 8. Line integrals ( 선적분 ) integrating along a given curve. only one independent variable! 1) definition

27 Example 1.F=(xy)i-(y 2 )j, find the work from (0,0) to (2,1) path 1 (straight line) path 2 (parabola)

28 path 3 (broken line) path 4 (parameter) x=2t^2, y=t^2 x: (0,2)  t: (0,1) 1) 2) 1) 2)

29 Example 2. Find the value of path 1 (polar coordinate ) r=1 (constant) so, only d  may be considered.

30 path 2 1) 2) (0,1) (-1,0)(1,0) ## Question: Would you compare between example 1 and 2?

31 2) Conservative fields (F or V) ( 보존장 ) - Example 1 : depends on the path. nonconservative field - Example 2 : does not depend on the path. conservative field

32 3) Potential (  ) ( 퍼텐셜 ) for A: a proper reference point cf. Electric field, gravitational field  conservative

33 Example 3. Show that F is conservative, and find a scalar potential. 1) F is conservative.

34 (0,0,0) (x,y,z) a.find the point where the field (or potential) is zero. b.do line integral to an arbitrary point along the path with which the integration is easiest. i) dx ii) dy iii) dz (x,0,0) (x,y,0) i) only dx ii) only dy iii) only dz 2) Scalar potential of F

35 Example 4. scalar potential for the electric field of a point charge q at the origin

36 9. Green’s theorem in the plane ( 평면에서의 Green 정리 ) - The integral of the derivative of a function is the function. 1) Definition of Green theorem

37 Area integral: Line integral: cf.

38 Similarly,

39 This relation is valid even for an irregular shape!! “Using Green’s theorem we can evaluate either a line integral around a closed path or a double integral over the area inclosed, whichever is easier to do.”

40 Example 1. F=xyi-y 2 j, find the work from (0,0) to (2,1) and back For a closed path, path 2 (parabola) (previous section) path 3 (broken line) 1) 2) 1) 2)

41 Example 1. F=xyi-y 2 j, find the work from (0,0) to (2,1) and back For a closed path, Using Green’s theorem,

42 Example 2. ( z-component of curl F = 0), then, W from one point to another point is independent of the path. (F : conservative field)

43 - Two useful way to apply Green’s theorem to the integration of vector functions Divergence theorem a) Divergence theorem

44 b) Stoke’s theorem Stoke’s theorem

45 Chapter 6 Vector analysis Mathematical methods in the physical sciences 3rd edition Mary L. Boas Lecture 21 Divergence and Divergence theorem

46 10. Divergence and divergence theorem ( 발산과 발산정리 ) flow of a gas, heat, electricity, or particles : flow of water amount of water crossing A’ for t 1) Physical meaning of divergence

47 - Rate at which water flows across surface 1 - Rate at which water flows across surface 2 - Net outflow along x-axis In this way, “Divergence is the net rate of outflow per unit volume at a point.”

48 (a) positive divergence for positive charge (or negative divergence for a negative charge) (b) zero divergence (c) positive divergence along the z-axis cf. (from ‘Griffiths’)

49 Example 1.4 in Figure 1.18 cf. (from ‘Griffiths’)

50  = (source density) minus (sink density) = net mass of fluid being created (or added via something like a minute sprinkler system) per unit time per unit volume  = density of fluid = mass per unit volume  /  t = time rate of increase of mass per unit volume Rate of increase of mass in dxdydz = (rate of creation) minus (rate of outward flow) 1) If there is no source or sinks, cf. 2) Example of the divergence 1 2)

51 Consider any closed surface. Mass of fluid flowing out through d  is V  n d . Total outflow: For volume element d  =dxdydz, the outflow from d  is another definition of divergence 3) Example of the divergence 2

52 4) Divergence theorem 5) Example of the divergence theorem If we directly evaluate

53 6) Gauss’s law electric field at r due to a point chage q at (0,0) For multi-sources,

54 Gauss’s Law Using the divergence theorem,

55 7) Example of gauss’s law. E=? a) For electrostatic problem, E=0 inside b) For symmetry, E should be vertical. total charge inside is C  (surface area) for C surface charge density.

56 Chapter 6 Vector analysis Mathematical methods in the physical sciences 3rd edition Mary L. Boas Lecture 22 Curl and Stoke’s theorem

57 11. Curl and Stoke’s theorem ( 회전이론과 Stoke’s 정리 ) “Curl v gives the angular velocity.” Ex.

58 curl V  0 curl V = 0 1) meaning of curl

59 vs. cf. (from ‘Griffiths’)

60 Example 1.5 cf. (from ‘Griffiths’)

61 Stoke’s theorem good bad

62 Example 1. (a) integrate the expression at it stands (b) use Stoke’s theorem and evaluate the line integral around the circle (c) use Stoke’s theorem to say that the integral is the same over any surface bounded by the circle, for example, the planar area inside the circle.

63 Ampere’s law H : magnetic field C : closed curve I : current

64 : one of the Maxwell equations For a specific case,

65 Conservative fields ‘simply connected’ if a simple closed curve in the region can be shrunk to a point without encountering any points not in the region. If the components of F have continuous first partial derivatives in a simple connected region, any one implies all the others. a) curl F = 0 b) closed line integral = 0 c) F conservative d) F = grad W, W single valued

66 Vector potential

67 Example 2. There are many A’s to satisfy this equation. For convenience, set one component A_x =0. i) ii)

68 There are many ways to select f1 and f2.

69 Generalization for A For A_x=0, cf. When we know one A, all others are of the form,

70 cf. Cylindrical coordinate

71 cf. Spherical coordinate

72 Homework Chapter , 4-5, 6-10, 10-14, 11-16


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