Chapter 12: Problem 36
\(35-40\) Find the scalar and vector projections of b onto a. $$\mathbf{a}=\langle 1,2\rangle, \quad \mathbf{b}=\langle- 4,1\rangle$$
Short Answer
Expert verified
Scalar projection is \(-\frac{2}{\sqrt{5}}\), vector projection is \(\langle -\frac{2}{5}, -\frac{4}{5} \rangle\).
Step by step solution
01
Calculate the Dot Product of Vectors a and b
The dot product of two vectors \( \mathbf{a} \) and \( \mathbf{b} \) is given by \( \mathbf{a} \cdot \mathbf{b} = a_1b_1 + a_2b_2 \). Substitute the given values: \( \mathbf{a} = \langle 1, 2 \rangle \) and \( \mathbf{b} = \langle -4, 1 \rangle \). Calculate: \( \mathbf{a} \cdot \mathbf{b} = (1)(-4) + (2)(1) = -4 + 2 = -2 \).
02
Calculate the Magnitude of Vector a
The magnitude of a vector \( \mathbf{a} = \langle a_1, a_2 \rangle \) is calculated using the formula \( \| \mathbf{a} \| = \sqrt{a_1^2 + a_2^2} \). Substitute the components of \( \mathbf{a} \):\( \| \mathbf{a} \| = \sqrt{1^2 + 2^2} = \sqrt{1 + 4} = \sqrt{5} \).
03
Determine the Scalar Projection of b onto a
The scalar projection of \( \mathbf{b} \) onto \( \mathbf{a} \) is given by the formula \( \text{comp}_{\mathbf{a}} \mathbf{b} = \frac{\mathbf{a} \cdot \mathbf{b}}{\| \mathbf{a} \|} \).Substitute the values: \( \text{comp}_{\mathbf{a}} \mathbf{b} = \frac{-2}{\sqrt{5}} \).
04
Calculate the Vector Projection of b onto a
The vector projection of \( \mathbf{b} \) onto \( \mathbf{a} \) is given by the formula \( \text{proj}_{\mathbf{a}} \mathbf{b} = \left( \frac{\mathbf{a} \cdot \mathbf{b}}{\| \mathbf{a} \|^2} \right) \mathbf{a} \).First, calculate \( \| \mathbf{a} \|^2 = (\sqrt{5})^2 = 5 \).Then, substitute the dot product and the vector \( \mathbf{a} \):\( \text{proj}_{\mathbf{a}} \mathbf{b} = \left( \frac{-2}{5} \right) \mathbf{a} = \left( \frac{-2}{5} \right) \langle 1, 2 \rangle = \langle -\frac{2}{5}, -\frac{4}{5} \rangle \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Dot Product
The dot product is a way to multiply two vectors and get a scalar (a single number) as a result. It's calculated by multiplying the corresponding components of the two vectors and then adding those products together. In mathematical terms, if you have two vectors \( \mathbf{a} = \langle a_1, a_2 \rangle \) and \( \mathbf{b} = \langle b_1, b_2 \rangle \), the dot product \( \mathbf{a} \cdot \mathbf{b} \) is given by:
- \( \mathbf{a} \cdot \mathbf{b} = a_1 \cdot b_1 + a_2 \cdot b_2 \)
- \( \mathbf{a} \cdot \mathbf{b} = (1)(-4) + (2)(1) = -4 + 2 = -2 \)
Magnitude of Vector
The magnitude of a vector represents its length or size, providing a measure of the vector's extent in space. To find the magnitude of a vector like \( \mathbf{a} = \langle a_1, a_2 \rangle \), you use the following formula:
- \( \| \mathbf{a} \| = \sqrt{a_1^2 + a_2^2} \)
- \( \| \mathbf{a} \| = \sqrt{1^2 + 2^2} = \sqrt{1 + 4} = \sqrt{5} \)
Scalar Projection
Scalar projection helps to find how much of one vector lies in the direction of another. It's like asking "how much of vector \( \mathbf{b} \) is pointing in the direction of vector \( \mathbf{a} \)?" The scalar projection, or component, is calculated using the formula:
- \( \text{comp}_{\mathbf{a}} \mathbf{b} = \frac{\mathbf{a} \cdot \mathbf{b}}{\| \mathbf{a} \|} \)
- \( \text{comp}_{\mathbf{a}} \mathbf{b} = \frac{-2}{\sqrt{5}} \)
Projection Formula
The projection formula extends the idea of scalar projection by introducing a vector, offering insight into both the magnitude and direction of the projection. Calculating the vector projection \( \text{proj}_{\mathbf{a}} \mathbf{b} \) involves the following formula:
- \( \text{proj}_{\mathbf{a}} \mathbf{b} = \left( \frac{\mathbf{a} \cdot \mathbf{b}}{\| \mathbf{a} \|^2} \right) \mathbf{a} \)
- \( \| \mathbf{a} \|^2 = (\sqrt{5})^2 = 5 \)
- \( \text{proj}_{\mathbf{a}} \mathbf{b} = \left( \frac{-2}{5} \right) \langle 1, 2 \rangle = \langle -\frac{2}{5}, -\frac{4}{5} \rangle \)