Confusing Vector Questions: How Do I Solve Them?

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Homework Statement


Hi guys, I have am having a problem with the questions below.
upload_2017-4-24_19-0-22.png


what do they mean by show ## B_{perp}=B sin\theta ## I mean I know it a silly question, and my first thought is just use socahtoa, or am I missing something. The question from there on is straight forward enough,. I just have a feeling I am missing something or am I over thinking it completely?

Homework Equations

The Attempt at a Solution

 
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Taylor_1989 said:
my first thought is just use socahtoa, or am I missing something.
I think that's all there is to it.
 
FactChecker said:
Do you have another way to calculate B? If so, you should show that it gives the same answer.
I was thinking of showing it with an orthogonal projection, would this be correct?
 
Taylor_1989 said:
I was thinking of showing it with an orthogonal projection, would this be correct?
The exercise does say that the first step is to decompose B into the projection on A and the rejection (orthogonal projection) on A.
 
first thanks for the responses I have used the orthogonal projection, ]which I feel is the best way to show this relationship.
 
Hi guys, my perivous comment is bogus ^^^ I have been looking ove this question again and I now fully confusing myself. The way I thought I could show it which is I think i worng now is that I could say that:

##|| Proj_ba+ \perp Proj_ba=b##

By rearanging this in to: ##|| b-Proj_ba= \perp Proj_ba## I would be able to show what they wanted, when I did it before for some reason I thought that ##|b|(1-cos\theta)=|b| sin \theta## I have no idea why through this at the time but I know this to be wrong. Can someone please give some advice on that matter thank you in advance.
 
I'm not sure about your notation, but it is true that a||b + a⊥b = a, where a||b is the projection of vector a onto b and a⊥b is the vector rejection of a on b. So if you can calculate a||b, then you can use that to calculate a⊥b and prove what the exercise asked for.
 
That what I oringinally through but how could you, I can't seem to figure how to. I mean I know how the projection vector, ##a_||b## using dot product but how I convert to sine is what confusing me at the moment. Erm am I on the right lines with this:##|a_{||b}+a_{\perp b}|=|a|## ##\rightarrow## ##|a_{||b}|+|a_{\perp b}|=|a|##,

If this correct the ##a_{||b}##=##|a|cos\theta##, but taking the mod of this is where it get confusing, what is the mod of this?
 
Taylor_1989 said:
That what I oringinally through but how could you, I can't seem to figure how to. I mean I know how the projection vector, ##a_||b## using dot product but how I convert to sine is what confusing me at the moment.
If you can calculate cos(θ) then you can get θ and then sin(θ).
Erm am I on the right lines with this:##|a_{||b}+a_{\perp b}|=|a|## ##\rightarrow## ##|a_{||b}|+|a_{\perp b}|=|a|##,
No. Use the Pythagorean theorem instead. a||b and a⊥b are at right angles.
If this correct the ##a_{||b}##=##|a|cos\theta##, but taking the mod of this is where it get confusing, what is the mod of this?
It is not true. The mod is already there. |a||b| = |a|cos(θ).
 
Im sorry, but I am now more confuse to how ##arccos(\frac{|a_{||b}|}{|a|})## to get the desired result. I really not seeing somthing here.

I know this not the way you are saying but can you use the face that ##tan x= sinx/cosx ## & ##cosx=a_{||b}/|a|##?So now I am thinking this, when you said pythagours

##(1) |B_{||}|^2+|B_{\perp}|^2=|B|^2##& ##(2) B_{||}=Bcos\theta##

sub 1 into to 2 and rearrange for ##|B_{\perp}|^2##

I then get: ##B{\perp}=\sqrt(|B|^2)\sqrt(1-cos\theta^2)##
 
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Taylor_1989 said:
Im sorry, but I am now more confuse to how ##arccos(\frac{|a_{||b}|}{|a|})## to get the desired result. I really not seeing somthing here.
θ = arccos( |a||b| / |a| )
I know this not the way you are saying but can you use the face that ##tan x= sinx/cosx ## & ##cosx=a_{||b}/|a|##?
a||b is a vector. If you used |a||b| that would be correct, but sort of a more complicated way to do things. The goal is to find θ, which would be the same as x. So it is simpler to just use θ = arccos( |a||b| / |a| )
So now I am thinking this, when you said pythagours

##(1) |B_{||}|^2+|B_{\perp}|^2=|B|^2##
yes. They form a right triangle.
& ##(2) B_{||}=Bcos\theta##
no. Look at figure 3 in post #1. B|| and B are vectors that point in different directions. B|| points in the direction of A. That's why I think the notation B||A is better than B||. Likewise B⊥A is better notation than B. That notation would help you keep track of what vector they are parallel or perpendicular to (which is A).
sub 1 into to 2 and rearrange for ##|B_{\perp}|^2## I I have assumed that ##B_{||}## & ##B_{\perp}## are scalr projection of ##A_B## and not vector projections
They are the vectors shown in figure 3 of post #1.
 
Ok I am still a bit hazy. So the method i described is incorrect? Ok i cn see that B has been projected on to A, so the sclar projection is ##B_{|| A}=|B|cos\theta## so that why I through I could use that in pythagours as the sclar projection would be the length so then i could you that with the length of the vect ##B## to show the result.
 
Taylor_1989 said:
Ok I am still a bit hazy. So the method i described is incorrect? Ok i cn see that B has been projected on to A, so the sclar projection is ##B_{|| A}=|B|cos\theta## .
I'm still not sure that we are talking about the same thing. ##B_{|| A}## is a vector and ##|B|cos\theta## is not. So they are not equal. The scalar projection of B onto A is | ##B_{|| A}## | =##|B|cos\theta##. The modulus symbols are necessary. Please don't omit them.
 
First I apologise for my poor latex and also thank you being patient with me. I have finally figure out the problem. Thank you for your help it was much apprecited.