15 Vector Analysis Copyright © Cengage Learning. All rights reserved. 15.7 Divergence Theorem Copyright © Cengage Learning. All rights reserved. Objectives Understand and use the Divergence Theorem. Use the Divergence Theorem to calculate flux. 3 Divergence Theorem 4 Divergence Theorem 5 6 Example 1 – Using the Divergence Theorem 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 subsurfaces. Figure 15.56 7 Example 1 F = xi + y2j + zk cont’d So, you would need four surface integrals to evaluate However, by the Divergence Theorem, you need only one triple integral. Because 2x + 2y + z = 6 xy-trace: z=0=> x+y=3 you have 8 Example 1 – Solution cont’d 9 10 Compare this one-line calculation to long and hard spherical coordinates surface integral!!! 11 My solution is much better S1 : z g ( x, y ) 0 g x g y 0 F dS 2 z , x, y 2 0,0,1 y 2 2 F dS y dA S1 R S 2 : z g ( x, y ) 4 x 2 y 2 g x 2 x, g y 2 y F dS 2 z , x, y 2 2 x,2 y,1 4 xz 2 xy y 2 2 F dS 4 xz 2 xy y dA S2 R F d S F d S F dS 4 xz 2 xydA S S1 4 x(4 x 2 S2 R y ) 2 xydA [ 0 all odd in symmetric R] 2 R 2 2π 0 0 dr r dθ 4r cos (θ )( 4 r 2 ) 2r 2 cos (θ ) sin (θ ) 0 2 cos( )d sin( ) 2 0 0 2 2 0 1 0 sin( 2 )d 2 cos(2 ) 0 0 OR div ( F )dV 0dV 0 - - same in just one line. Q Q 12 13 14 div ( F ) 2 x x 0 3 x F d S div ( F ) dV S Q 2 2 6 r cos( ) 0 0 0 d dr r 3r cos( ) dz 2 2 0 0 3 d dr r 2 cos( )( 6 r cos( )) 2 2 r3 r4 3 d 6 cos( ) cos 2 ( ) 3 4 0 0 2 3 d 16 cos( ) 4 0 2 3 d 16 cos( ) 4 0 1 cos( 2 ) 2 1 cos( 2 ) 2 2 sin( 2 ) 48 sin( ) 6 12 2 0 15 16 Divergence Theorem Even though the Divergence Theorem was stated for a simple solid region Q bounded by a closed surface, the theorem is also valid for regions that are the finite unions of simple solid regions. For example, let Q be the solid bounded by the closed surfaces S1 and S2, as shown in Figure 15.59. To apply the Divergence Theorem to this solid, let S = S1 U S2. Figure 15.59 17 Divergence Theorem The normal vector N to S is given by −N1 on S1 and by N2 on S2. So, you can write 18 Now, let S1 be a small sphere around central electric field F and S2 be any surface, which completely encloses small sphere S1 kq r x, y, z inverse square field F kq 3 2 ( x y 2 z 2 )3 / 2 || r || 2y 3 1 2x 3 1 y x ( x 2 y 2 z 2 )3 / 2 2 ( x 2 y 2 z 2 )5 / 2 2 ( x 2 y 2 z 2 )5 / 2 ( x 2 y 2 z 2 )3 / 2 div ( F ) kq 2z 3 1 z 2 2 / 3 2 2 2 (x y z ) 2 ( x y 2 z 2 )5 / 2 F N1dS F N 2 dS F NdS div ( F )dV 0 S1 S2 S 0 Q F N 2 dS F N1dS 4kq [general case q qi - superposit ion of charges inside surface S2 ] S2 S1 Where we used this derivation of flux integral of electric field on sphere S1 (from 15.6) r r S FdS S F NdS S kq || r ||3 || r || dS kq kq 1 || r ||2 4a 2 4kq dS dS kq dS kq 2 2 S || r ||4 S || r ||2 a a S This shows that the flux of electric field is 4*pi*k*q through ANY closed surface that 19 contains the origin. Flux and the Divergence Theorem 20 Flux and the Divergence Theorem To help understand the Divergence Theorem, consider the two sides of the equation You know that the flux integral on the left determines the total fluid flow across the surface S per unit of time. This can be approximated by summing the fluid flow across small patches of the surface. The triple integral on the right measures this same fluid flow across S, but from a very different perspective—namely, by calculating the flow of fluid into (or out of) small cubes of volume ∆Vi . 21 Flux and the Divergence Theorem The flux of the ith cube is approximately Flux of ith cube ≈ div F(xi, yi, zi) ∆Vi for some point (xi, yi, zi) in the ith cube. Note that for a cube in the interior of Q, the gain (or loss) of fluid through any one of its six sides is offset by a corresponding loss (or gain) through one of the sides of an adjacent cube. After summing over all the cubes in Q, the only fluid flow that is not canceled by adjoining cubes is that on the outside edges of the cubes on the boundary. 22 Flux and the Divergence Theorem So, the sum approximates the total flux into (or out of) Q, and therefore through the surface S. To see what is meant by the divergence of F at a point, consider ∆Vα to be the volume of a small sphere Sα of radius α and center (x0, y0, z0), contained in region Q, as shown in Figure 15.60. Figure 15.60 23 Flux and the Divergence Theorem Applying the Divergence Theorem to Sα produces where Qα is the interior of Sα. Consequently, you have and, by taking the limit as α → 0, you obtain the divergence of F at the point (x0, y0, z0). 24 Flux and the Divergence Theorem The point (x0, y0, z0) in a vector field is classified as a source, a sink, or incompressible, as follows. Figure 15.61(a) Figure 15.61(b) Figure 15.61(c) 25 Example 4 – Calculating Flux by the Divergence Theorem 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 26 Example 4 cont’d 27 28
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