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Ch. 4 - Laws of Sines and Cosines; Vectors
Blitzer - Trigonometry 3rd Edition
Blitzer3rd EditionTrigonometryISBN: 9780137316601당신이 사용하는 게 아니라요?교과서 변경
4장, 문제 8

In Exercises 5–8, let v = -5i + 2j and w = 2i - 4j Find the specified vector, scalar, or angle. projᵥᵥv

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Identify the vectors involved: here, both vectors are \( \mathbf{v} = -5\mathbf{i} + 2\mathbf{j} \) and \( \mathbf{w} = 2\mathbf{i} - 4\mathbf{j} \), but the problem asks for \( \text{proj}_{\mathbf{v}} \mathbf{v} \), which means the projection of \( \mathbf{v} \) onto itself.
Recall the formula for the projection of a vector \( \mathbf{a} \) onto a vector \( \mathbf{b} \): \[ \text{proj}_{\mathbf{b}} \mathbf{a} = \left( \frac{\mathbf{a} \cdot \mathbf{b}}{\mathbf{b} \cdot \mathbf{b}} \right) \mathbf{b} \] where \( \mathbf{a} \cdot \mathbf{b} \) is the dot product of \( \mathbf{a} \) and \( \mathbf{b} \).
Since we are projecting \( \mathbf{v} \) onto itself, substitute \( \mathbf{a} = \mathbf{v} \) and \( \mathbf{b} = \mathbf{v} \) into the formula: \[ \text{proj}_{\mathbf{v}} \mathbf{v} = \left( \frac{\mathbf{v} \cdot \mathbf{v}}{\mathbf{v} \cdot \mathbf{v}} \right) \mathbf{v} \]
Calculate the dot product \( \mathbf{v} \cdot \mathbf{v} \) by multiplying corresponding components and summing: \[ \mathbf{v} \cdot \mathbf{v} = (-5)(-5) + (2)(2) \]
Simplify the fraction \( \frac{\mathbf{v} \cdot \mathbf{v}}{\mathbf{v} \cdot \mathbf{v}} \) which will equal 1, so the projection \( \text{proj}_{\mathbf{v}} \mathbf{v} \) is simply \( \mathbf{v} \) itself.

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주요 개념

질문에 올바르게 답하기 위해 반드시 이해해야 하는 핵심 개념들은 다음과 같습니다.

Vector Projection

Vector projection of one vector onto another is the component of the first vector in the direction of the second. It is found by scaling the second vector by the scalar projection, which involves the dot product divided by the magnitude squared of the second vector.
추천 영상:
03:48
Introduction to Vectors

Dot Product of Vectors

The dot product is an algebraic operation that takes two equal-length sequences of numbers (vectors) and returns a single number. It is calculated as the sum of the products of corresponding components and is used to find angles between vectors and projections.
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05:40
Introduction to Dot Product

Vector Magnitude

The magnitude (or length) of a vector is the distance from the origin to the point represented by the vector in space. It is calculated using the Pythagorean theorem as the square root of the sum of the squares of its components.
추천 영상:
04:44
Finding Magnitude of a Vector