Problem 39
Question
Find \(|\mathbf{u}|,|\mathbf{v}|,|2 \mathbf{u}|,\left|\frac{1}{2} \mathbf{v}\right|,|\mathbf{u}+\mathbf{v}|,|\mathbf{u}-\mathbf{v}|,\) and \(|\mathbf{u}|-|\mathbf{v}|\) $$\mathbf{u}=\langle 10,-1\rangle, \quad \mathbf{v}=\langle- 2,-2\rangle$$
Step-by-Step Solution
Verified Answer
\(|\mathbf{u}| = \sqrt{101}, |\mathbf{v}| = 2\sqrt{2}, |2\mathbf{u}| = 2\sqrt{101}, \left|\frac{1}{2}\mathbf{v}\right| = \sqrt{2}, |\mathbf{u}+\mathbf{v}| = \sqrt{73}, |\mathbf{u}-\mathbf{v}| = \sqrt{145}, |\mathbf{u}|-|\mathbf{v}| = \sqrt{101} - 2\sqrt{2}\).
1Step 1: Find the magnitude of \( \mathbf{u} \)
The magnitude of a vector \( \mathbf{u} = \langle x, y \rangle \) is given by \( |\mathbf{u}| = \sqrt{x^2 + y^2} \). Substitute \( x = 10 \) and \( y = -1 \) to find the magnitude:\[ |\mathbf{u}| = \sqrt{10^2 + (-1)^2} = \sqrt{100 + 1} = \sqrt{101} \approx 10.05 \]
2Step 2: Find the magnitude of \( \mathbf{v} \)
The magnitude of a vector \( \mathbf{v} = \langle x, y \rangle \) is given by \( |\mathbf{v}| = \sqrt{x^2 + y^2} \). Substitute \( x = -2 \) and \( y = -2 \) to find the magnitude:\[ |\mathbf{v}| = \sqrt{(-2)^2 + (-2)^2} = \sqrt{4 + 4} = \sqrt{8} = 2\sqrt{2} \approx 2.83 \]
3Step 3: Find the magnitude of \( 2\mathbf{u} \)
Multiplying a vector by a scalar multiplies its magnitude by the absolute value of the scalar. Therefore, the magnitude of \( 2\mathbf{u} \) is:\[ |2\mathbf{u}| = 2|\mathbf{u}| = 2\sqrt{101} \approx 2 \times 10.05 = 20.1 \]
4Step 4: Find the magnitude of \( \frac{1}{2}\mathbf{v} \)
Similarly, the magnitude of \( \frac{1}{2}\mathbf{v} \) is half the magnitude of \( \mathbf{v} \):\[ \left| \frac{1}{2}\mathbf{v} \right| = \frac{1}{2}|\mathbf{v}| = \frac{1}{2}\times 2\sqrt{2} = \sqrt{2} \approx 1.41 \]
5Step 5: Find the magnitude of \( \mathbf{u} + \mathbf{v} \)
Find \( \mathbf{u} + \mathbf{v} = \langle 10, -1 \rangle + \langle -2, -2 \rangle = \langle 8, -3 \rangle \). Then compute the magnitude:\[ |\mathbf{u} + \mathbf{v}| = \sqrt{8^2 + (-3)^2} = \sqrt{64 + 9} = \sqrt{73} \approx 8.54 \]
6Step 6: Find the magnitude of \( \mathbf{u} - \mathbf{v} \)
First, find \( \mathbf{u} - \mathbf{v} = \langle 10, -1 \rangle - \langle -2, -2 \rangle = \langle 12, 1 \rangle \). Then calculate the magnitude:\[ |\mathbf{u} - \mathbf{v}| = \sqrt{12^2 + 1^2} = \sqrt{144 + 1} = \sqrt{145} \approx 12.04 \]
7Step 7: Calculate \( |\mathbf{u}| - |\mathbf{v}| \)
Subtract the magnitude of \( \mathbf{v} \) from the magnitude of \( \mathbf{u} \):\[ |\mathbf{u}| - |\mathbf{v}| = \sqrt{101} - 2\sqrt{2} \approx 10.05 - 2.83 = 7.22 \]
Key Concepts
Vector AdditionScalar MultiplicationVector SubtractionNorm of Vectors
Vector Addition
Vector addition is a fundamental concept in vector mathematics. When you add two vectors, you essentially bring together their respective components. For instance, if you're given vectors \( \mathbf{u} = \langle x_1, y_1 \rangle \) and \( \mathbf{v} = \langle x_2, y_2 \rangle \), the sum is \( \mathbf{u} + \mathbf{v} = \langle x_1 + x_2, y_1 + y_2 \rangle \). This means you add the x-components to get the new x-component, and the y-components for the new y-component.
- Helps in determining the combined effect of two vector forces.
- Results in another vector.
Scalar Multiplication
Scalar multiplication involves multiplying a vector by a real number, called a scalar. Given a vector \( \mathbf{u} = \langle x, y \rangle \) and a scalar \( c \), the resultant vector is \( c \mathbf{u} = \langle cx, cy \rangle \).
This operation:
This operation:
- Stretches or shrinks the vector.
- Keeps the direction the same if the scalar is positive.
- Reverses the direction if the scalar is negative.
Vector Subtraction
Vector subtraction involves determining the difference between two vectors. If vectors \( \mathbf{u} = \langle x_1, y_1 \rangle \) and \( \mathbf{v} = \langle x_2, y_2 \rangle \), then their subtraction is \( \mathbf{u} - \mathbf{v} = \langle x_1 - x_2, y_1 - y_2 \rangle \).
- Visualized as connecting the tip of \( \mathbf{v} \) to the tip of \( \mathbf{u} \).
- Helps in calculating relative displacement or change in position.
Norm of Vectors
The norm of a vector, often referred to as vector magnitude, is a measure of the vector's length. For a vector \( \mathbf{u} = \langle x, y \rangle \), its norm is calculated using the formula \( |\mathbf{u}| = \sqrt{x^2 + y^2} \). The norm gives:
- A scalar representing how long the vector is.
- Helps in understanding the size or extent of vector quantities such as force or velocity.
Other exercises in this chapter
Problem 39
Let \(\mathbf{u}, \mathbf{v},\) and \(\mathbf{w}\) be vectors, and let \(a\) be a scalar. Prove the given property. $$\mathbf{u} \cdot \mathbf{v}=\mathbf{v} \cd
View solution Problem 39
Find the direction angles of the given vector, rounded to the nearest degree. $$(2,3,-6)$$
View solution Problem 40
Let \(\mathbf{u}, \mathbf{v},\) and \(\mathbf{w}\) be vectors, and let \(a\) be a scalar. Prove the given property. $$(a \mathbf{u}) \cdot \mathbf{v}=a(\mathbf{
View solution Problem 40
Find the direction angles of the given vector, rounded to the nearest degree. $$(2,-1,2)$$
View solution