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Ch. 7 - Applications of Trigonometry and Vectors
Lial - Trigonometry 12th Edition
Lial12th EditionTrigonometryISBN: 9780136552161, 9780135440780, 9780136881117, 9780135440827, 9780135924891Non è quello che usi tu?Cambia libro di testo
Capitolo 8, Problema 75

Determine whether each pair of vectors is orthogonal.
√5i - 2j, -5i + 2 √5j

Guida verificata passo dopo passo
1
Recall that two vectors are orthogonal if their dot product equals zero.
Write the given vectors in component form: the first vector is \(\left(\sqrt{5}, -2\right)\) and the second vector is \(\left(-5, 2\sqrt{5}\right)\).
Calculate the dot product of the two vectors using the formula \(\mathbf{a} \cdot \mathbf{b} = a_1 b_1 + a_2 b_2\).
Substitute the components into the dot product formula: \(\left(\sqrt{5}\right) \times (-5) + (-2) \times \left(2\sqrt{5}\right)\).
Simplify the expression and check if the result equals zero; if it does, the vectors are orthogonal, otherwise they are not.

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Vector Components and Notation

Vectors in two dimensions are expressed using unit vectors i and j, representing the x and y directions respectively. Each vector can be written as a combination of these components, such as ai + bj, where a and b are scalar values indicating magnitude along each axis.
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Dot Product of Vectors

The dot product is a scalar value calculated by multiplying corresponding components of two vectors and summing the results. For vectors a = a1i + a2j and b = b1i + b2j, the dot product is a1*b1 + a2*b2. It is used to determine the angle relationship between vectors.
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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 property is fundamental in geometry and physics to identify right angles between directions or forces.
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Introduction to Vectors