Rotating a given vector about an axis

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Homework Help Overview

The discussion revolves around the problem of rotating a vector in the y-z plane and finding the components of the resulting vector after rotation. The original poster attempts to derive equations involving the components of the vectors based on their projections and properties of rotation.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the relationships between the components of the vectors before and after rotation, including the use of dot products and the invariance of vector lengths. Some question the feasibility of solving the resulting equations algebraically.

Discussion Status

There is an ongoing exploration of different methods to approach the problem, including algebraic manipulation and trigonometric reasoning. Some participants express confidence in the logic presented, while others suggest alternative strategies for finding the components.

Contextual Notes

Participants note the importance of maintaining the quadratic form of equations and the implications of vector properties during rotation. There is an acknowledgment of the challenge in solving the equations presented.

brotherbobby
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Homework Statement
Vector ##\vec A = 3.5 \hat x+2 \hat y-2.5 \hat z##. Find out the vector ##\vec B## that is obtained by rotating ##\vec A## about the ##x##-axis (in the positive sense according to the right-hand cork screw rule) by an angle of ##60^{\circ}##.
Relevant Equations
Dot product of two vectors : ##\vec A \cdot \vec B = AB \cos \theta##
Rotation.png


The sketch above shows the situation of the problem. Clearly, as the rotation is taking place in the ##y-z## plane, the x-components of the two vectors remain unchanged : ##A_x = B_x##.

Let the projection of the vector ##\vec B## on to the y-z plane be vector ##(\vec B)_{yz} = B_y \hat y + B_z \hat z##. It is these two vectors ##B_y \;\text{and}\; B_z## that I need to find.

The dot product ##(\vec A)_{yz} \cdot (\vec B)_{yz} = A_{yz} B_{yz} \cos \theta = \sqrt{2^2+2.5^2} \sqrt{B_y^2+B_z^2} \cos 60^{\circ} = 1.6 \sqrt{B_y^2+B_z^2} ## .

But again, ##(\vec A)_{yz} \cdot (\vec B)_{yz} = A_y B_y + A_z B_z = 2 B_y - 2.5 B_z \Rightarrow 2 B_y - 2.5 B_z = 1.6 \sqrt{B_y^2+B_z^2}## which simplifies to (after squaring and some algebra) : ##\mathbf{1.44 B_y^2 - 10 B_y B_z + 3.69 B_z^2 = 0}##

Also, as the length of the vectors remain invariant (property of pure rotation), we can write ##A_y^2+A_z^2 = B_y^2 + B_z^2 \Rightarrow B_y^2 + B_z^2 = 2^2 + 2.5^2 \Rightarrow \mathbf{B_y^2 + B_z^2 = 10.25}##.

I could not solve (algebraically) the two equations above in bold for ##B_y\; \text{and} \;B_z##. Any help would be welcome.
 
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Your logic seems fine. Let me eliminate the dead wood:
$$ \Rightarrow \mathbf{B_y^2 + B_z^2 = 10.25} $$
$$\Rightarrow2 B_y - 2.5 B_z = 1.6 \sqrt{B_y^2+B_z^2} $$
You really can't solve this?i
 
An alternative way is to skip the algebra and use simple trig. The initial vector can be written as the sum of three vectors along the principal axes:$$\vec A=A_x~\hat x+A_y~\hat y+A_z~\hat z=\vec {A_x}+\vec {A_y}+\vec {A_z}.$$As you correctly pointed out ##\vec{A_x}## is unchanged upon rotation, but the other two rotate in the ##zy## plane by ##60^o## away from their respective principal axes. Make a drawing if you need to and then find the new ##y## and ##z## components of each. Add everything to get ##\vec B##.
 
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hutchphd said:
Your logic seems fine. Let me eliminate the dead wood:
$$ \Rightarrow \mathbf{B_y^2 + B_z^2 = 10.25} $$
$$\Rightarrow2 B_y - 2.5 B_z = 1.6 \sqrt{B_y^2+B_z^2} $$
You really can't solve this?i

Thank you very much. I didn't realize that it would have been wiser to keep the quadratic expression under the square root as it is and use it for the other equation where it reappears. Am trying not to be embarrassed.
 
Better to ask a question. And graciously return the favor when possible.
 

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