Comparing magnitudes of vectors is used to determine which of them is longer or larger. The magnitude of a vector in two dimensions \( \langle a, b \rangle \) is given by the formula \( ||\langle a, b \rangle|| = \sqrt{a^2 + b^2} \). This magnitude represents the length of the vector from the origin to the point \( \langle a, b \rangle \) in space.
For our exercise, we calculated:
- The magnitude of \(2\mathbf{u} = \langle 6, -8 \rangle\) as \( \sqrt{6^2 + (-8)^2} = 10 \).
- The magnitude of \(7\mathbf{v} = \langle 7, 7 \rangle\) as \( \sqrt{7^2 + 7^2} \approx 9.9 \).
By comparing these results, it's evident that the scalar-multiplied vector \(2\mathbf{u}\) has a slightly greater length than \(7\mathbf{v}\). This highlights how scalar multiplication can affect the magnitude of vectors, and why understanding this concept is important when analyzing vector relationships.