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652 bytes added ,  20:17, January 13, 2010
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This is an unwieldy definition, so we frequently use the equivalent statement  
 
This is an unwieldy definition, so we frequently use the equivalent statement  
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<math>\nabla \cdot \vec{F} = \frac{\partial f_1}{\partial x} + \frac{\partial f_2}{\partial y} + \frac{\partial f_3}{\partial z}</math>
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<math>div \vec{F} = \frac{\partial f_1}{\partial x} + \frac{\partial f_2}{\partial y} + \frac{\partial f_3}{\partial z}</math>
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or in two dimensions, just
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or in two dimensions, just <math>\frac{\partial f_1}{\partial x} + \frac{\partial f_2}{\partial y}</math>.  Note that if we were to define a "vector" <math>\nabla = \vec{i}\partial_x +\vec{j}\partial_y + \vec{k}\partial_z </math>, we would have <math>div \vec{F} = \nabla \cdot \vec{F} </math>. Note that this isn't technically a vector, since the component are not number but differential operators, and the kind of "multiplication" we're doing isn't really multiplication, since you can't multiply an operator by a function; instead we're differentiating the components.  Nevertheless, it's a handy notational convenience, and it actually does point to a deeper truth we won't begin to address in this course, so we'll continue to use <math>\nabla \cdot \vec{F} </math> for the divergence.
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<math>\nabla \cdot \vec{F} = \frac{\partial f_1}{\partial x} + \frac{\partial f_2}{\partial y}</math>.
      
=The Curl=
 
=The Curl=
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