Table of contents
- 0. Review of College Algebra4h 43m
- 1. Measuring Angles39m
- 2. Trigonometric Functions on Right Triangles2h 5m
- 3. Unit Circle1h 19m
- 4. Graphing Trigonometric Functions1h 19m
- 5. Inverse Trigonometric Functions and Basic Trigonometric Equations1h 41m
- 6. Trigonometric Identities and More Equations2h 34m
- 7. Non-Right Triangles1h 38m
- 8. Vectors2h 25m
- 9. Polar Equations2h 5m
- 10. Parametric Equations1h 6m
- 11. Graphing Complex Numbers1h 7m
8. Vectors
Dot Product
6:24 minutes
Problem 37
Textbook Question
Textbook QuestionIn Exercises 33–38, find projᵥᵥ v. Then decompose v into two vectors, v₁ and v₂, where v₁ is parallel to w and v₂ is orthogonal to w. v = i + 2j, w = 3i + 6j
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Vector Projection
Vector projection is the process of projecting one vector onto another. The projection of vector v onto vector w, denoted as projᵥᵥ w, is calculated using the formula projᵥᵥ w = (v · w / w · w) * w, where '·' represents the dot product. This results in a vector that is parallel to w, representing how much of v lies in the direction of w.
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Dot Product
The dot product is a fundamental operation in vector algebra that combines two vectors to produce a scalar. It is calculated as v · w = v₁w₁ + v₂w₂ for vectors v = (v₁, v₂) and w = (w₁, w₂). The dot product is crucial for finding the angle between vectors and is used in the projection formula to determine how much one vector extends in the direction of another.
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Vector Decomposition
Vector decomposition involves breaking a vector into two components: one that is parallel to a given vector and another that is orthogonal (perpendicular) to it. In this context, v₁ is the component of v that is parallel to w, while v₂ is the component that is orthogonal to w. This decomposition is useful in various applications, including physics and engineering, where understanding the influence of different directions is essential.
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