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
6:29 minutes
Problem 42
Textbook Question
Textbook QuestionIn Exercises 42–43, find projᵥᵥv. Then decompose v into two vectors, v₁ and v₂ where v₁ is parallel to w and v₂ is orthogonal to w. v = -2i + 5j, w = 5i + 4j
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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 projᵥᵥw, gives a new vector that represents the component of v in the direction of w. This is calculated using the formula projᵥᵥw = (v · w / w · w) * w, where '·' denotes the dot product.
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Dot Product
The dot product is a mathematical operation that takes two equal-length sequences of numbers (usually coordinate vectors) and returns a single number. It is calculated as the sum of the products of the corresponding entries of the two sequences. The dot product is crucial for finding the angle between vectors and is used in the projection formula to determine how much of one vector lies 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 vector v that aligns with vector w, while v₂ is the component that is perpendicular to w. This decomposition helps in analyzing vector behavior in different directions and is essential for solving problems involving projections.
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