Chapter 6 Vector analysis ( 벡터 해석 )

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

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

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

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

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

6. 2) Triple vector product (삼중 벡터곱) some vector in the plane of B and C 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) 1) Differentiation of a vector Example 1.

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. Mathematical methods in the physical sciences 3rd edition Mary L. Boas Chapter 6 Vector analysis 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 1) definition of directional derivative (directional derivative for u: directional unit vector)

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

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

27. Example 1. F=(xy)i-(y2)j, find the work from (0,0) to (2,1) path 1 (straight line) path 2 (parabola)

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

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

30. path 2 (0,1) 2) 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. (x,y,z) iii) dz (x,y,0) i) dx ii) dy (0,0,0) (x,0,0) • find the point where the field (or potential) is zero. • do line integral to an arbitrary point along the path with which the integration is easiest. 2) Scalar potential of F i) only dx ii) only dy iii) only dz

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) 1) Definition of Green theorem - The integral of the derivative of a function is the function.

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. F=xyi-y2j, find the work from (0,0) to (2,1) and back Example 1. For a closed path, (previous section) path 2 (parabola) path 3 (broken line) 2) 1) 1) 2)

41. F=xyi-y2j, find the work from (0,0) to (2,1) and back Example 1. 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 a) Divergence theorem Divergence theorem

44. b) Stoke’s theorem Stoke’s theorem

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

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

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

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

50. 2) Example of the divergence 1  = (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, 2) cf.