MHB How Do You Solve Exercises Involving 2D and 3D Vectors and Dot Product?

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The discussion focuses on solving exercises related to 2D and 3D vectors and the dot product, particularly for someone who missed classes. Key points include the application of the dot product to determine relationships between vectors and the significance of vector sums, especially when vectors have equal magnitudes but opposite directions. The conversation also addresses solving a system of equations to eliminate variables and find relationships between them. Additionally, it highlights the concept of direction vectors in relation to planes and provides an equation for a plane perpendicular to a given vector. Overall, the hints and explanations provided helped the original poster understand the material better.
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Hey!

I just joined the forum, but would like to get some help with 2D&3D vectors and dot product. I missed some classes due to a bad illness and now can't get the hang of it at all..
Would appreciate it alot, if someone could explain me how to solve these 5 exercises.
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Some hints:

a) Can you think of a way to use the dot product here?

b) If two vectors are of equal magnitude, but opposite direction, their vector sum is 0. Why is this relevant?

c) We have the 3 equations:

$3\lambda + 3\mu + 1 = x$

$-\lambda + 2\mu - 1 = y$

$4\lambda - 2 = z$

By multiplying equations (1) and (2) by suitable integers, can you eliminate $\mu$? Then try to use that equation and equation 3 to eliminate $\lambda$.

d) Such a line should be parallel to $v$, right?

e) Think about what the direction vectors of such a plane have to be...
 
Thanks alot! You made my week mate!
Got the hang of them with your hints and my teachers powerpoint shows.
 
There is another way of finding an equation of a plane in (c) and (e): an equation of the plane perpendicular to $(A,B,C)$ and passing through $(x_0.y_0,z_0)$ is $A(x-x_0)+B(y-y_0)+C(z-z_0)=0$, or $Ax+By+Cz+(-Ax_0-By_0-Cz_0)=0$.
 
Thread 'How to define a vector field?'
Hello! In one book I saw that function ##V## of 3 variables ##V_x, V_y, V_z## (vector field in 3D) can be decomposed in a Taylor series without higher-order terms (partial derivative of second power and higher) at point ##(0,0,0)## such way: I think so: higher-order terms can be neglected because partial derivative of second power and higher are equal to 0. Is this true? And how to define vector field correctly for this case? (In the book I found nothing and my attempt was wrong...

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