How can I prove that vector c bisects the angle theta between vectors a and b?

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The sum vector is the diagonal of a parallelogram that has the two original vectors as sides. Since a parallelogram is composed of two equal triangles, and the sum vector bisects the parallelogram's angles, it also bisects the angle between the original vectors.In summary, the given conversation discusses the relationship between three non-zero vectors and how the vector c bisects the angle between vectors a and b if c = |b|a + |a|b. The conversation also delves into using the vectors' component forms and the cosine of the angles between the vectors to determine if they are equal. The conversation concludes with the realization that the problem is intrinsically 2-D and can be
  • #1
Perion
Hi. I am to show that for any non-zero vectors a, b, and c, if
c = |b|a + |a|b
then vector c bisects the angle theta between vectors a and b. [0 < theta <= Pi]

I used the vectors' component forms and let a = <a1,a2> and b = <b1,b2> and then worked out the equations for the cosine of the angles between (1) a and c, and (2) c and b. I then tried to determine if (1) and (2) were equal. I used the equations

(1) cos(phi1) = (a.c)/|a||c| and
(2) cos(phi2) = (c.b)/|c||b| [a.c and c.b are dot products]

Unfortunately I came up with some rather long, complicated, component expressions which proved quite cumbersome to test for equality. I suspect that James Stewart (my textbook author) had an easier method in mind (maybe using projections) that didn't involve such algebraic gymnastics. Am I missing some obviously simple method to go about this?

Thanks,
Perion
 
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  • #2
Why do this in 2-d only?

How do you find the angle between two vectors using the dot product? And what's cos(2t) in terms of cos(t)?

If you just use those carefully (no need to do componentsin 2d) it drops out, I imagine.

For example |c|^2=c.c = 4|b|^2|a|^2, so |c|= 2|a||b|
 
  • #3
[tex] \vec{c}=|\vec{b}|\vec{a}+|\vec{a}|\vec{b} [/tex] (1)

Take scalar product with itself and obtain:

[tex] |\vec{c}|^{2}=2|\vec{a}|^{2}|\vec{b}|^{2}[1+\cos(\vec{a}\vec{b})]=4|\vec{a}|^{2}|\vec{b}|^{2}\cos^{2}\frac{(\vec{a}\vec{b})}{2} [/tex] (2)

Take square root & obtain:

[tex] |\vec{c}|=2|\vec{a}|\vec{b}|\cos\frac{(\vec{a}\vec{b})}{2} [/tex] (3)

Consider the scalar product:

[tex]\vec{a}\cdot\vec{c}=|\vec{a}||\vec{c}|\cos(\vec{a}\vec{c})=|\vec{b}|\vec{a}|^{2}+|\vec{b}|\vec{a}|^{2}\cos(\vec{a}\vec{b})[/tex] (4)

,where i made specific use of (1).From (4) it follows simply (check the trick with the half-angle formula,as in (2)),that:

[tex] |\vec{c}|=2|\vec{a}||\vec{b}|\frac{\cos^{2}\frac{(\vec{a}\vec{b})}{2}}{\cos(\vec{a}\vec{c})} [/tex] (5)

Set equal (4) & (5) and,after the simplifications,u get:

[tex]\cos(\vec{a}\vec{c})=\cos\frac{(\vec{a}\vec{b})}{2} [/tex] (6)

Use the fact that the angles are in the interval [itex] (0,\pi) [/itex] and we can make use of the "arccos"...You get simply:

[tex] (\vec{a}\vec{c})=\frac{(\vec{a}\vec{b})}{2} [/tex] (7)

,which is just what u were supposed to prove...

Daniel.

P.S.The proof is very general.It makes no reference to any #of dimensions or a base in the vector space...
 
Last edited:
  • #4
There is a simple approach involving only elementary geometry. |a|b and |b|a are the same length. These form adjacent sides of a rhombus. c is a diagonal starting at the point of origin of these vectors. Therefore it must bisect the angle formed by these sides.
 
  • #5
Oh wow! Yeah - thanks for the insights. I tried manipulating my expressions in order to use the half angle trig identity but made a dumb mistake so went the idiotic component route. Actually, I shouldn't have assumed just 2D since the problem didn't specify any particular number of dimensions. I just didn't want to deal with more than 2D since the 2D component form resulted in expressions that sucked more enough for my taste.

Matt and dextercioby - your approach is the way that I wanted to go (and suspected the author desired) and now it's also why I'm kicking myself in the butt for abandoning :cry:

Thank you very much!

Perion
 
  • #6
The problem is intrinsically 2-D. The two vectors define a plane, which also contains their sum vector.
 

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