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Ch. 4 - Laws of Sines and Cosines; Vectors
Blitzer - Trigonometry 3rd Edition
Blitzer3rd EditionTrigonometryISBN: 9780137316601Not the one you use?Change textbook
All textbooksBlitzer 3rd EditionCh. 4 - Laws of Sines and Cosines; VectorsProblem 42
Chapter 4, Problem 42

In 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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Identify the vectors \( \mathbf{v} = -2\mathbf{i} + 5\mathbf{j} \) and \( \mathbf{w} = 5\mathbf{i} + 4\mathbf{j} \).
Recall the formula for the projection of \( \mathbf{v} \) onto \( \mathbf{w} \): \[ \text{proj}_{\mathbf{w}} \mathbf{v} = \left( \frac{\mathbf{v} \cdot \mathbf{w}}{\mathbf{w} \cdot \mathbf{w}} \right) \mathbf{w} \] where \( \mathbf{v} \cdot \mathbf{w} \) is the dot product of \( \mathbf{v} \) and \( \mathbf{w} \).
Calculate the dot product \( \mathbf{v} \cdot \mathbf{w} = (-2)(5) + (5)(4) \).
Calculate the dot product \( \mathbf{w} \cdot \mathbf{w} = (5)(5) + (4)(4) \).
Use the values from the dot products to find \( \text{proj}_{\mathbf{w}} \mathbf{v} \) by multiplying the scalar \( \frac{\mathbf{v} \cdot \mathbf{w}}{\mathbf{w} \cdot \mathbf{w}} \) by the vector \( \mathbf{w} \). Then, decompose \( \mathbf{v} \) into: - \( \mathbf{v}_1 = \text{proj}_{\mathbf{w}} \mathbf{v} \) (parallel to \( \mathbf{w} \)) - \( \mathbf{v}_2 = \mathbf{v} - \mathbf{v}_1 \) (orthogonal to \( \mathbf{w} \))

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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 of v onto w, denoted proj_w v, is the component of v that points in the direction of w. It is calculated using the formula proj_w v = (v · w / ||w||²) w, where '·' is the dot product and ||w|| is the magnitude of w. This concept helps in breaking down vectors into parallel components.
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Dot Product of Vectors

The dot product of two vectors v and w is a scalar defined as v · w = v₁w₁ + v₂w₂ for 2D vectors. It measures how much one vector extends in the direction of another and is essential for finding projections and angles between vectors.
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Introduction to Dot Product

Vector Decomposition into Parallel and Orthogonal Components

Any vector v can be decomposed into two vectors: v₁ parallel to w and v₂ orthogonal to w, such that v = v₁ + v₂. Here, v₁ = proj_w v, and v₂ = v - v₁. This decomposition is useful in many applications like resolving forces or analyzing vector components.
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Related Practice
Textbook Question

In Exercises 39–46, find the unit vector that has the same direction as the vector v.

v = 3i - 2j

Textbook Question

In Exercises 39–46, find the unit vector that has the same direction as the vector v.

v = 3i - 4j

Textbook Question

In Exercises 43–44, find the angle, in degrees, between v and w.

v = 2 cos(4π/3) i + 2 sin(4π/3) j, w = 3 cos(3π/2) i + 3 sin(3π/2) j

Textbook Question

In Exercises 39–46, find the unit vector that has the same direction as the vector v.

v = 8i - 6j

Textbook Question

In Exercises 41–42, find a to the nearest tenth.

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Textbook Question

In Exercises 39–42, let u = -i + j, v = 3i - 2j, and w = -5j. Find each specified scalar or vector.

projᵤ (v + w)