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Ch. 7 - Applications of Trigonometry and Vectors
Lial - Trigonometry 12th Edition
Lial12th EditionTrigonometryISBN: 9780136552161당신이 사용하는 게 아니라요?교과서 변경
8장, 문제 72

Determine whether each pair of vectors is orthogonal.
〈1, 1〉, 〈1, -1〉

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Recall that two vectors are orthogonal if their dot product is zero. The dot product of two vectors \(\langle a_1, a_2 \rangle\) and \(\langle b_1, b_2 \rangle\) is given by the formula: \[ \text{Dot product} = a_1 \times b_1 + a_2 \times b_2 \]
Identify the components of the given vectors: the first vector is \(\langle 1, 1 \rangle\) and the second vector is \(\langle 1, -1 \rangle\).
Calculate the dot product using the components: \[ (1) \times (1) + (1) \times (-1) \]
Simplify the expression to find the value of the dot product.
Check if the dot product equals zero. If it does, the vectors are orthogonal; if not, they are not orthogonal.

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주요 개념

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

Vector Representation

Vectors are quantities defined by both magnitude and direction, often represented as ordered pairs or tuples in coordinate form. In two dimensions, a vector like 〈x, y〉 indicates movement x units along the horizontal axis and y units along the vertical axis.
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. For vectors 〈a, b〉 and 〈c, d〉, the dot product is calculated as a*c + b*d, which relates to the angle between the vectors.
추천 영상:
05:40
Introduction to Dot Product

Orthogonality of Vectors

Two vectors are orthogonal if their dot product equals zero, meaning they are perpendicular to each other. This concept is fundamental in trigonometry and vector analysis to determine right angles between vectors.
추천 영상:
03:48
Introduction to Vectors