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    • Review of Vector Analysis, pp. 1-48 (PDF) 1.1 Coordinate systems, pp. 2-7. 1.2 Vector Algebra, pp. 7-16. 1.3 The gradient and the del operator, pp.
    • The Electric Field, pp. 49-134 (PDF - 8MB) 2.1 Electric charge, pp. 50-54. 2.2 The Coulomb force law between stationary charges, pp. 54-59. 2.3 Charge distributions, pp.
    • Polarization and Conduction, pp. 135-256 (PDF - 1.9MB) 3.1 Polarization, pp. 136-152. 3.2 Conduction, pp. 152-161. 3.3 Field boundary conditions, 161-169.
    • Electric Field Boundary Value Problems, pp. 257-312 (PDF) 4.1 The uniqueness theorem, pp. 258-259. 4.2 Boundary value problems in Cartesian geometries, pp.
  1. Having dealt with the two-body problem, we’ll leave the three-body problem toscience fiction authorsand begin an in-depth study of stars. Our foray into Kepler’s laws was appropriate, because about 50% of all stars are in binary (or higher-multiplicity) systems. With our fundamental dynamical model, plus

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  2. pdf. 149 kB. Session 95 Solutions: Surface Independence. MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.

  3. Solution. If the radius of the spherical surface is R ≤ d then the sphere does not enclose any charge and the net flux through is: qin Φe = = 0. . If, however, R > d then there will be a part ` of the charged line that lies within the sphere, ` is given by (see Figure (24.20)): √. ` = 2 R2 − d2.

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  4. The equation x2 = 1 has no real solutions, yet we know that this equation arises naturally and we want to use its roots. So we make up a new symbol for the roots and call it a complex number. De nition. The symbols iwill stand for the solutions to the equation x2 = 1. We will call these new numberscomplex numbers. We will also write p 1 = i

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  5. Lecture 23: Flux. Topics covered: Flux; normal form of Green’s theorem. Instructor: Prof. Denis Auroux. Freely sharing knowledge with learners and educators around the world. Learn more. MIT OpenCourseWare is a web based publication of virtually all MIT course content.

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  7. Problems and solutions 1. Problems { Chapter 1 Problem 5.1. Show from rst principles that if V is a vector space (over R or C) then for any set Xthe space (5.1) F(X;V) = fu: X! Vg is a linear space over the same eld, with ‘pointwise operations’. Problem 5.2. If V is a vector space and SˆV is a subset which is closed

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