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Mathematics 15 Online
OpenStudy (jango_in_dtown):

One vector calculus problem

OpenStudy (jango_in_dtown):

OpenStudy (jango_in_dtown):

@Michele_Laino

OpenStudy (michele_laino):

is the symbol "\(*\)" for vector product?

OpenStudy (jango_in_dtown):

yeah I couldn't find the cross product symbol

OpenStudy (michele_laino):

ok! Here are your steps, please wait a moment...

OpenStudy (michele_laino):

I check your identity on one generic component, say the \(i-\)th component please wait...

OpenStudy (jango_in_dtown):

ok..

OpenStudy (michele_laino):

here are my answer:

OpenStudy (jango_in_dtown):

I cannot understand, not used to this notation.

OpenStudy (michele_laino):

I have used the ricci symbol \(\Large \epsilon_{ijk}\) and this identity: \[\Large {\varepsilon _{kij}}{\varepsilon _{klm}} = {\delta _{il}}{\delta _{jm}} - {\delta _{im}}{\delta _{jl}}\]

OpenStudy (michele_laino):

\[\Large \begin{gathered} {\left( {f \times \left( {\nabla \times f} \right)} \right)_i} = {\varepsilon _{ijk}}{f_j}{\left( {\nabla \times f} \right)_k} = \hfill \\ \hfill \\ = {\varepsilon _{ijk}}{f_j}{\varepsilon _{klm}}{\partial _l}{f_m} = \hfill \\ \hfill \\ = {\varepsilon _{ijk}}{\varepsilon _{klm}}{f_j}\left( {{\partial _l}{f_m}} \right) = \hfill \\ \hfill \\ = {\varepsilon _{kij}}{\varepsilon _{klm}}{f_j}\left( {{\partial _l}{f_m}} \right) = \hfill \\ \hfill \\ = \left( {{\delta _{il}}{\delta _{jm}} - {\delta _{im}}{\delta _{jl}}} \right){f_j}\left( {{\partial _l}{f_m}} \right) = \hfill \\ \hfill \\ = {\delta _{il}}{\delta _{jm}}{f_j}\left( {{\partial _l}{f_m}} \right) - {\delta _{im}}{\delta _{jl}}{f_j}\left( {{\partial _l}{f_m}} \right) = \hfill \\ \hfill \\ = {f_j}\left( {{\partial _i}{f_j}} \right) - \left( {{f_j}{\partial _j}} \right){f_i} = \hfill \\ \hfill \\ = \frac{1}{2}{\partial _i}\left( {{f_j}{f_j}} \right) - \left( {{f_j}{\partial _j}} \right){f_i} \hfill \\ \hfill \\ \hfill \\ \end{gathered} \]

OpenStudy (jango_in_dtown):

oh ricci calculus, I haven;t started it yet.. I started tensor calculus about a week or so..

OpenStudy (michele_laino):

with such method I'm able to check all the vector identities

OpenStudy (michele_laino):

It is the only method that I know

OpenStudy (jango_in_dtown):

OK..:) then I am writing it..But first I have to learn it

OpenStudy (michele_laino):

It is not difficult. Please keep in mind that for the product vector between two vextors \(a,b\), I can write this: \[\huge {\left( {{\mathbf{a}} \times {\mathbf{b}}} \right)_i} = {\varepsilon _{kij}}{a_i}{b_j}\] where sums over repeated indices \(i,j\) are implicit

OpenStudy (michele_laino):

oops..I have made a typo \[\huge {\left( {{\mathbf{a}} \times {\mathbf{b}}} \right)_k} = {\varepsilon _{kij}}{a_i}{b_j}\]

OpenStudy (michele_laino):

of course, indices \(i,\,j,\,k\) runs from \(1\) to \(3\)

OpenStudy (michele_laino):

run*

OpenStudy (jango_in_dtown):

Oh I see the notation. I never did a vector calculus problem using tensors... its easy though

OpenStudy (michele_laino):

yes!

OpenStudy (jango_in_dtown):

@IrishBoy123 do you have other method? I mean vector calculus methods?

OpenStudy (irishboy123):

michele is the maestro. my crude offering is from the bac-cab rule \(\mathbf{a}\times (\mathbf{b}\times \mathbf{c}) = \mathbf{b}(\mathbf{a}\cdot\mathbf{c}) - \mathbf{c}(\mathbf{a}\cdot\mathbf{b})\) \(\mathbf{f}\times (\mathbf{\nabla}\times \mathbf{f}) = \mathbf{\nabla}(\mathbf{f}\cdot\mathbf{f}) - \mathbf{f}(\mathbf{\nabla}\cdot\mathbf{f})\) michele might know where the \(\frac{1}{2}\) comes in

OpenStudy (jango_in_dtown):

\[\epsilon _{ijk}=\epsilon _{kij}\ ??

OpenStudy (jango_in_dtown):

@Michele_Laino

OpenStudy (michele_laino):

yes! since I have made this permutations: \[\huge ijk \to ikj \to kij\] and for each permutation (better is swapping) sign changes from \(+1\) to \(-1\) and then from \(-1\) to \(+1\)

OpenStudy (jango_in_dtown):

ok.. and have you written |dw:1447153421492:dw|

OpenStudy (michele_laino):

please note that I have written this: \[\huge {\nabla _i} = {\partial _i} = \frac{\partial }{{\partial {x_i}}}\]

OpenStudy (jango_in_dtown):

ok.. and just one more thing, what does \[(a \times b)_{i}\] mean,,, i mean are we operating it on i vector?

OpenStudy (michele_laino):

yes! it is the \(i-\)th component of the vector: \[\huge {{\mathbf{a}} \times {\mathbf{b}}}\]

OpenStudy (michele_laino):

where, of course, \(i\) stands for \(1,2\) or \(3\)

OpenStudy (michele_laino):

or \(x,y\) or \(z\)

OpenStudy (jango_in_dtown):

ok.. thanks.:).. I learnt a new method today, though I will be able to apply it after I learn Ricci calculus,.

OpenStudy (michele_laino):

yes! Please keep in mind that it is not a difficult method

OpenStudy (jango_in_dtown):

yeah, \[\epsilon _{ijk}\] is the generalized Kronecker delta, right?

OpenStudy (michele_laino):

yes!

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