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Ch. 7 - Applications of Trigonometry and Vectors
Lial - Trigonometry 12th Edition
Lial12th EditionTrigonometryISBN: 9780136552161Not the one you use?Change textbook
Chapter 8, Problem 78

Determine whether each pair of vectors is orthogonal.
i + 3√2j, 6i - √2j

Verified step by step guidance
1
Recall that two vectors are orthogonal if their dot product is zero. The dot product of vectors \( \mathbf{a} = a_1 \mathbf{i} + a_2 \mathbf{j} \) and \( \mathbf{b} = b_1 \mathbf{i} + b_2 \mathbf{j} \) is given by the formula: \[ \mathbf{a} \cdot \mathbf{b} = a_1 b_1 + a_2 b_2 \]
Identify the components of the given vectors. For the first vector \( \mathbf{v_1} = \mathbf{i} + 3\sqrt{2} \mathbf{j} \), the components are \( a_1 = 1 \) and \( a_2 = 3\sqrt{2} \). For the second vector \( \mathbf{v_2} = 6 \mathbf{i} - \sqrt{2} \mathbf{j} \), the components are \( b_1 = 6 \) and \( b_2 = -\sqrt{2} \).
Calculate the dot product using the components: \[ \mathbf{v_1} \cdot \mathbf{v_2} = (1)(6) + (3\sqrt{2})(-\sqrt{2}) \]
Simplify the expression by multiplying the terms: \[ (1)(6) = 6 \] and \[ (3\sqrt{2})(-\sqrt{2}) = 3 \times (-1) \times (\sqrt{2} \times \sqrt{2}) = 3 \times (-1) \times 2 = -6 \]
Add the results from the two products to find the dot product: \[ 6 + (-6) = 0 \] Since the dot product is zero, conclude that the vectors are orthogonal.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Vector Components and Representation

Vectors in two dimensions can be expressed as combinations of unit vectors i and j, representing the x and y components respectively. Understanding how to identify and write vectors in component form is essential for performing operations like dot product and checking orthogonality.
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Dot Product of Vectors

The dot product is a scalar value obtained by multiplying corresponding components of two vectors and summing the results. It is calculated as (x1 * x2) + (y1 * y2) for 2D vectors, and is fundamental in determining the relationship between vectors, such as orthogonality.
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Orthogonality of Vectors

Two vectors are orthogonal if their dot product equals zero, meaning they are perpendicular to each other. Checking orthogonality involves computing the dot product and verifying if the result is zero, which indicates a 90-degree angle between the vectors.
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