Problem 1
Question
1-8 Find \((a) \mathbf{u} \cdot \mathbf{v}\) and \((\mathbf{b})\) the angle between \(\mathbf{u}\) and \(\mathbf{v}\) to the nearest degree. $$\mathbf{u}=\langle 2,0\rangle, \quad \mathbf{v}=\langle 1,1\rangle$$
Step-by-Step Solution
Verified Answer
\( \mathbf{u} \cdot \mathbf{v} = 2 \); the angle between is \( 45^{\circ} \).
1Step 1: Calculate Dot Product
To find \( \mathbf{u} \cdot \mathbf{v} \), use the formula for the dot product of two vectors: \( \mathbf{u} \cdot \mathbf{v} = u_1 v_1 + u_2 v_2 \). Here, \( \mathbf{u} = \langle 2, 0 \rangle \) and \( \mathbf{v} = \langle 1, 1 \rangle \). Compute: \( 2 \times 1 + 0 \times 1 = 2 + 0 = 2 \). So, \( \mathbf{u} \cdot \mathbf{v} = 2 \).
2Step 2: Calculate Magnitude of \(\mathbf{u}\) and \(\mathbf{v}\)
The magnitude of a vector \( \mathbf{u} = \langle a, b \rangle \) is given by \( ||\mathbf{u}|| = \sqrt{a^2 + b^2} \). For \( \mathbf{u} = \langle 2, 0 \rangle \), \( ||\mathbf{u}|| = \sqrt{2^2 + 0^2} = \sqrt{4} = 2 \). For \( \mathbf{v} = \langle 1, 1 \rangle \), \( ||\mathbf{v}|| = \sqrt{1^2 + 1^2} = \sqrt{2} \).
3Step 3: Calculate Cosine of the Angle
Use the formula \( \cos \theta = \frac{\mathbf{u} \cdot \mathbf{v}}{||\mathbf{u}|| \cdot ||\mathbf{v}||} \) to find the cosine of the angle \( \theta \) between the vectors. Here, \( \cos \theta = \frac{2}{2 \times \sqrt{2}} = \frac{2}{2\sqrt{2}} = \frac{1}{\sqrt{2}} \). Simplifying, \( \cos \theta = \frac{\sqrt{2}}{2} \).
4Step 4: Calculate the Angle
Find the angle \( \theta \) by taking the inverse cosine of the cosine we found: \( \theta = \cos^{-1}\left( \frac{\sqrt{2}}{2} \right) \). This gives \( \theta = 45^{\circ} \). Thus, the angle between the vectors is approximately 45 degrees.
Key Concepts
Dot ProductMagnitude of a VectorAngle Between Vectors
Dot Product
The dot product, also known as the scalar product, is a way to multiply two vectors resulting in a scalar (a single number). Unlike the regular multiplication of numbers, which gives another number of similar type, the dot product combines vectors to give a single value. The formula for the dot product of two vectors \( \mathbf{u} = \langle u_1, u_2 \rangle \) and \( \mathbf{v} = \langle v_1, v_2 \rangle \) is:\\[ \mathbf{u} \cdot \mathbf{v} = u_1 v_1 + u_2 v_2 \].
For the given vectors \( \mathbf{u} = \langle 2, 0 \rangle \) and \( \mathbf{v} = \langle 1, 1 \rangle \), we calculate:
This scalar product informs us about the directional multiplicative interaction between the vectors. If the result is zero, the vectors are perpendicular, signifying that they are at right angles to each other.
For the given vectors \( \mathbf{u} = \langle 2, 0 \rangle \) and \( \mathbf{v} = \langle 1, 1 \rangle \), we calculate:
- \( 2 \times 1 = 2 \)
- \( 0 \times 1 = 0 \)
This scalar product informs us about the directional multiplicative interaction between the vectors. If the result is zero, the vectors are perpendicular, signifying that they are at right angles to each other.
Magnitude of a Vector
The magnitude of a vector is essentially its length, and it provides an understanding of the vector's size regardless of its direction. It's calculated using the Pythagorean theorem for the vector's components.
Every vector \( \mathbf{u} = \langle a, b \rangle \) has a magnitude \( ||\mathbf{u}|| \) given by:\\[ ||\mathbf{u}|| = \sqrt{a^2 + b^2} \].
For \( \mathbf{u} = \langle 2, 0 \rangle \):
Every vector \( \mathbf{u} = \langle a, b \rangle \) has a magnitude \( ||\mathbf{u}|| \) given by:\\[ ||\mathbf{u}|| = \sqrt{a^2 + b^2} \].
For \( \mathbf{u} = \langle 2, 0 \rangle \):
- The magnitude is \( \sqrt{2^2 + 0^2} = \sqrt{4} = 2 \).
- The magnitude is \( \sqrt{1^2 + 1^2} = \sqrt{2} \).
Angle Between Vectors
The angle between two vectors gives insight into how aligned or opposed they are to each other, which can be very useful, for example, in physics to understand forces or in graphics for determining light angles. This angle is determined using the concept of the dot product and vector magnitudes with the formula:
\[ \cos \theta = \frac{\mathbf{u} \cdot \mathbf{v}}{||\mathbf{u}|| \cdot ||\mathbf{v}||} \].
Substituting the known values:
To find the angle \( \theta \), apply the inverse cosine function:
\[ \cos \theta = \frac{\mathbf{u} \cdot \mathbf{v}}{||\mathbf{u}|| \cdot ||\mathbf{v}||} \].
Substituting the known values:
- \( \cos \theta = \frac{2}{2 \times \sqrt{2}} = \frac{1}{\sqrt{2}} \)
To find the angle \( \theta \), apply the inverse cosine function:
- \( \theta = \cos^{-1}\left( \frac{\sqrt{2}}{2} \right) = 45^{\circ} \)
Other exercises in this chapter
Problem 1
\(\mathbf{1}-8\) Graph the complex number and find its modulus. $$ 4 i $$
View solution Problem 1
Plot the point that has the given polar coordinates. $$ (4, \pi / 4) $$
View solution Problem 2
1-8 Find \((a) \mathbf{u} \cdot \mathbf{v}\) and \((\mathbf{b})\) the angle between \(\mathbf{u}\) and \(\mathbf{v}\) to the nearest degree. $$\mathbf{u}=\mathb
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