#Ordering
110 messages · Page 1 of 1 (latest)
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what is atled?
i get that it's a vector, but is it some special vector? what are its coordinates?
it’s grad no?
so grad f is the derivative of f
and doing the dot or cross product gives you curl and div
gradient of what?
this is a cross product of two vectors
what is the left vector?
this is also known as curl(v)
you take the cross product with the derivative?
i’ll be honest i’m not too sure
no it doesn’t they’re both the cross product, and everything is a vector i was just lazy with my latex,
it’s v cross product of curl(w)
it’s on the left hand side where i think it is implying regular multiplication i’m getting confused do i expand or cross product??
curl is defined for vector fields
w is not a vector field
the usual notation is
$$ \nabla \times F $$
aL
curl of vector field F
i’ll grab the og question hold on
my apologies for the confusion
i even have the check sheet i’m just very uncertain of how they got there
that's a lot better
(i’ll take this as hint to continue practicing my latex lmao)
what’s the different again? so i have full understanding
vector is an element of a vector space
vector field is a vector valued function
now that's cleared up, what exactly are you stuck with?
can you do the arithmetic?
nope that’s the bit i’m stuck with and this
thank u :)
i thought the inner bracket would be 2 so it evaluates to 2w but that is not the case
aL
no and in my notes it specifically says the two are not equal
ok so what is the operator dot?
you are applying it here for example
binary operation of two vector fields
a dot product between the vector fields v and w
i believe so (i got that part right)
so why wouldn't it be
i also don’t know what it’s telling me
$$ \nabla \times (v\cdot w) $$
aL
wait no it’s the gradient of it not the cross product beacuse the dot product becomes a scalar
ok now we're getting somewhere
almost..
are you saying the nabla stands for two different things in these expressions?
yes
the nabla with a cross or not or nothing is all different things
are you doing physics?
I KNOW RIGHT googling online did show me lots of different notations
nope mathematics
what does v dot nabla mean
ok so it's a vector field
wait how?
also i’m not as confident on the first part as ive made an arithmatic error somewhere ?
no wait
i think i’m miss reading it then, is it not the x part of a derived by x and so on?
you apply it to a vector field
using the given vector fields how would you do that?
i’ve done this which i know is wrong but i’m just not sure
this notation is cursed
i’ll be sure to tell mike when i see him
$$ (a\cdot \nabla)w = a\cdot (\nabla w) $$
aL
if I'm reading this right
You apply the operator to each coordinate function
It doesnt
You have a vector of functions being differentiated
I can TeX it out when I get to campus
that would be amazing thank you
and thank you @wooden brook ok still stuck but moving forward slowly :)
$v=(v_1,v_2,v_3),w=(w_1,w_2,w_3)$ (where ofc these are all vector fields)
$v\cdot\nabla=v_1\partial_x+v_2\partial_y+v_3\partial_z$, which 'is a scalar', so acts on $w$ like how any other scalar would.
$(v\cdot\nabla)w=(v_1\partial_xw_1+v_2\partial_yw_1+v_3\partial_zw_1,...)$, likewise for the rest of the components
Omegabet_
(which is the same as $v\cdot(\nabla w)$, where $\nabla w$ is the vector of gradients of w's components)
Omegabet_
that all makes sense i’m just working through it thank you!
Yeah, the notation is standard but takes a second to get use to. By all means it is mnemonic more than anything
especially when courses typically just cover curl, divergence, and laplacians, and not the more exotic operators that can come up
hell yeah i did it and got the correct answer thank you guys! i’m not sure my working is the clearest thing in the world but i understand it now :)
@ornate hull
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