SUMMARY
The inner product of vectors in polar coordinates can be calculated using the formula \( (r_1, \theta_1) \bullet (r_2, \theta_2) = r_1 r_2 \cos(\theta_1 - \theta_2) \). For the vectors ⃗a = (1, 45°) and ⃗b = (2, 90°), this results in an inner product of \( 1 \times 2 \times \cos(45°) = \sqrt{2} \). Alternatively, converting to Cartesian coordinates yields the same result, where ⃗a is represented as \( \left< \frac{\sqrt{2}}{2}, \frac{\sqrt{2}}{2} \right> \) and ⃗b as \( \left< 0, 2 \right> \). Both methods confirm the validity of the inner product calculation.
PREREQUISITES
- Understanding of polar coordinates and their representation
- Knowledge of the dot product and its properties
- Familiarity with trigonometric functions, specifically cosine
- Basic skills in converting between polar and Cartesian coordinates
NEXT STEPS
- Study the derivation and applications of the dot product in polar coordinates
- Learn about vector transformations between polar and Cartesian systems
- Explore trigonometric identities and their use in vector calculations
- Investigate advanced topics in linear algebra related to vector spaces
USEFUL FOR
Students in mathematics, physics, and engineering, particularly those studying vector analysis and coordinate transformations.