
The direction of a vector describes the orientation in space in which the vector points.
A vector is fully defined only when both are specified:
For a vector written in component form:
\(\vec{A}=(A_x , A_y , A_z)\)
the direction is typically given by the angle θ\thetaθ measured from the positive x-axis.
$$\tan\theta = \frac{A_y}{A_x}$$
$$\theta = \tan^{-1}\frac{A_y}{A_x}$$
The angle from tan−1\tan^{-1}tan−1 must be adjusted based on the signs of the components:
This ensures the direction is physically correct.
A vector’s direction can also be expressed using a unit vector:
\(\hat{A} = \frac{\vec{A}}{|\vec{A}|}\)
This gives a vector of magnitude 1 that points in the same direction as the original vector.
For a vector:
\(\vec{A}=(A_x , A_y , A_z)\)
its direction is described by the unit vector:
\(\hat{A} = \frac{A_x}{|\vec{A}|}\hat{i}+\frac{A_y}{|\vec{A}|}\hat{j}+\frac{A_z}{|\vec{A}|}\hat{k}
These ratios are called direction cosines.
Direction determines how vectors affect motion and forces.
Examples:
Even if magnitudes are the same, different directions produce different physical outcomes.
The direction of a vector specifies its orientation in space.
In 2D:
$$\theta = \tan^{-1}\frac{A_y}{A_x}$$
It can also be expressed using a unit vector:
\(\hat{A} = \frac{\vec{A}}{|\vec{A}|}\)
Direction, together with magnitude, completely defines a vector in mechanics.
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