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All published worksheets from http://sagenb.org

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d=2 x1=3 V(x,y,z)=1/sqrt(x^2+y^2+(z-d)^2)-1/sqrt(x^2+y^2+(z+d)^2)-1/sqrt((x1-x)^2+y^2+(z-d)^2)+1/sqrt((x1-x)^2+y^2+(z+d)^2) def LOF(nx, nz, step=.3): L=[(nx,nz)] grad=V.gradient() for i in range(70): vec=step/grad(nx,0,nz).norm()*grad(nx,0,nz) nx=nx+vec[0] nz=nz+vec[2] T=(nx,nz) L.append(T) return line(L) n=12 cp1=contour_plot(V(x,0,z),(x,-3,6),(z,0,6),contours=(1,2,3,.7,.8,.9,.5,.6,.3,.2,.1), fill=false) cp2=contour_plot(-V(x,0,z),(x,-3,6),(z,0,6),contours=(1,2,3,.7,.8,.9,.5,.6,.3,.2,.1), fill=false) LOFs1=[LOF(float(0+.01*cos(t*2*pi/n)),float(2+.01*sin(t*2*pi/n)),-.05) for t in range(n)] LOFs2=[LOF(float(3+.01*cos(t*2*pi/n)),float(2+.01*sin(t*2*pi/n)),.05) for t in range(n)] for i in range(n): cp1=cp1+LOFs1[i] cp2=cp2+LOFs2[i] show(cp1+cp2 , xmin=-3, xmax=6, ymin=0, ymax=6,aspect_ratio=1)
print("The charge distribution would image exactly as the point charges do.")
The charge distribution would image exactly as the point charges do.