Divergence, Gradient and Curl Based on Lecture Notes by James

Divergence, Gradient and Curl Based on Lecture Notes by James

Divergence, gradient and curl Based on lecture notes by James McKernan One can formally define the gradient of a function 3 rf : R −! R; by the formal rule @f @f @f grad f = rf = ^{ +| ^ + k^ @x @y @z d Just like dx is an operator that can be applied to a function, the del operator is a vector operator given by @ @ @ @ @ @ r = ^{ +| ^ + k^ = ; ; @x @y @z @x @y @z Using the operator del we can define two other operations, this time on vector fields: Blackboard 1. Let A ⊂ R3 be an open subset and let F~ : A −! R3 be a vector field. The divergence of F~ is the scalar function, div F~ : A −! R; which is defined by the rule div F~ (x; y; z) = r · F~ (x; y; z) @f @f @f = ^{ +| ^ + k^ · (F (x; y; z);F (x; y; z);F (x; y; z)) @x @y @z 1 2 3 @F @F @F = 1 + 2 + 3 : @x @y @z The curl of F~ is the vector field 3 curl F~ : A −! R ; which is defined by the rule curl F~ (x; x; z) = r × F~ (x; y; z) ^{ |^ k^ = @ @ @ @x @y @z F1 F2 F3 @F @F @F @F @F @F = 3 − 2 ^{ − 3 − 1 |^+ 2 − 1 k:^ @y @z @x @z @x @y Note that the del operator makes sense for any n, not just n = 3. So we can define the gradient and the divergence in all dimensions. However curl only makes sense when n = 3. Blackboard 2. The vector field F~ : A −! R3 is called rotation free if the curl is zero, curl F~ = ~0, and it is called incompressible if the divergence is zero, div F~ = 0. Proposition 3. Let f be a scalar field and F~ a vector field. 1 2 (1) If f is C2, then curl(grad f) = ~0. Every conservative vector field is rotation free. (2) If F~ is C2, then div(curl F~ ) = 0. The curl of a vector field is incompressible. Proof. We compute; curl(grad f) = r × (rf) ^{ |^ k^ @ @ @ = @x @y @z @f @f @f @x @y @z @2f @2f @2f @2f @2f @2f = − ^{ − − |^+ − k^ @y@z @z@y @x@z @z@x @x@y @y@x = ~0: This gives (1). div(curl F~ ) = r · (r × f) ^{ |^ k^ = r · @ @ @ @x @y @z F1 F2 F3 @ @ @ @x @y @z = @ @ @ @x @y @z F1 F2 F3 @2F @2F @2F @2F @2F @2F = 3 − 2 − 3 + 1 + 2 − 1 @x@y @x@z @y@x @y@z @z@x @z@y = 0: This is (2). Example 4. The gravitational field cx cy cz F~ (x; y; z) = ^{ + |^+ k;^ (x2 + y2 + z2)3=2 (x2 + y2 + z2)3=2 (x2 + y2 + z2)3=2 is a gradient vector field, so that the gravitational field is rotation free. In fact if c f(x; y; z) = − ; (x2 + y2 + z2)1=2 then F~ = grad f, so that curl F~ = curl(grad f) = ~0: Example 5. A magnetic field B~ is always the curl of something, B~ = curl A;~ where A~ is a vector field. So div(B~ ) = div(curl A~) = 0: Therefore a magnetic field is always incompressible. There is one other way to combine two del operators: 3 Blackboard 6. The Laplace operator take a scalar field f : A −! R and outputs another scalar field 2 r f : A −! R: It is defined by the rule @2f @2f @2f r2f = div(grad f) = + + : @x2 @y2 @z2 A solution of the differential equation r2f = 0; is called a harmonic function. Example 7. The function c f(x; y; z) = − ; (x2 + y2 + z2)1=2 is harmonic..

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