If f, g are vectors in R^3, then \(<\triangle f, g>=?\) Please, help
I know that \(\triangle f = \dfrac{\partial ^2f}{\partial x^2}+\dfrac{\partial^2f}{\partial y^2}+\dfrac{\partial^2f}{\partial z^2}\) but not sure how to take dot product with g
@IrishBoy123 Hi, friend!! I got part a) try to apply to part b but not get anything yet. Can you give me a hand?
hey! the laplacian is a scalar so that expression doesn't mean anything. you can't dot a scalar with a vector but once again, i am all at sea with the formalism :-)) enoying watching these adventures though!
hihihii.... have fun. thanks anyway
Perhaps what you want is something like this? \[\vec g \cdot \vec \nabla f\] Where \(\vec \nabla f\) is the gradient of the scalar field f. Then the dot product of some vector g with the gradient is the derivative of f in the direction of g.
I am using Laplacian here
Let me post my problem, please, take a look
Ok yeah that'd be good.
I got part a)
Need apply it to the second part, which is from "and if F and G are vectors......"
Ah ok I see, I thought you were doing vector calculus. I am not sure myself yet, but it looks like you can plug in the definition of the Laplacian here and then use the definitions above to simplify it. The Laplacian is the divergence of the gradient for scalars, but for vectors it's the divergence of the curl I believe. I am not entirely sure because I am familiar with how I would do something similar to this with tensors and that's what it would be.
:) My plan to extend the LHS and simplify to get the RHS, but not know how to yet.
Actually no, that second definition can't be right what I've said. I think the key is to look up what the definition of the Laplacian is for vectors since it is different than it is for scalars in your notation. In tensor notation there's no difference, but it's hard to translate it over because you end up with a bunch of nasty dot product garbage.
How about this. \(\bigtriangledown (\bigtriangledown F) = \partial_1(\bigtriangledown f), \ \partial_2(\bigtriangledown f)\partial_3(\bigtriangledown f),\)
so that we can take dot product with G, which give us \[G1\partial_1(\bigtriangledown f)+G2\partial_2(\bigtriangledown f)+G3\partial_3(\bigtriangledown f)\]
Join our real-time social learning platform and learn together with your friends!