Problem 17
Question
15-18 Find the indicated quantity, assuming \(\mathbf{u}=2 \mathbf{i}+\mathbf{j}, \mathbf{v}=\mathbf{i}-3 \mathbf{j},\) and \(\mathbf{w}=3 \mathbf{i}+4 \mathbf{j}\). $$(\mathbf{u}+\mathbf{v}) \cdot(\mathbf{u}-\mathbf{v})$$
Step-by-Step Solution
Verified Answer
The result is -5.
1Step 1: Find \(\mathbf{u} + \mathbf{v}\)
To find \(\mathbf{u} + \mathbf{v}\), we simply add the corresponding components of \(\mathbf{u}\) and \(\mathbf{v}\):\[\mathbf{u} + \mathbf{v} = (2\mathbf{i} + \mathbf{j}) + (\mathbf{i} - 3\mathbf{j}) = (2+1)\mathbf{i} + (1-3)\mathbf{j} = 3\mathbf{i} - 2\mathbf{j}.\]
2Step 2: Find \(\mathbf{u} - \mathbf{v}\)
To calculate \(\mathbf{u} - \mathbf{v}\), subtract the components of \(\mathbf{v}\) from \(\mathbf{u}\):\[\mathbf{u} - \mathbf{v} = (2\mathbf{i} + \mathbf{j}) - (\mathbf{i} - 3\mathbf{j}) = (2-1)\mathbf{i} + (1-(-3))\mathbf{j} = \mathbf{i} + 4\mathbf{j}.\]
3Step 3: Compute \((\mathbf{u} + \mathbf{v}) \cdot (\mathbf{u} - \mathbf{v})\)
Use the dot product formula \(\mathbf{a} \cdot \mathbf{b} = a_1b_1 + a_2b_2\), where \(\mathbf{a} = 3\mathbf{i} - 2\mathbf{j}\) and \(\mathbf{b} = \mathbf{i} + 4\mathbf{j}\):\[(3\mathbf{i} - 2\mathbf{j}) \cdot (\mathbf{i} + 4\mathbf{j}) = (3)(1) + (-2)(4) = 3 - 8 = -5.\]
Key Concepts
Understanding the Dot ProductExplaining Vector AdditionThe Concept of Vector Subtraction
Understanding the Dot Product
The dot product is a way of multiplying two vectors that results in a scalar (a single number) rather than another vector. It's a fundamental operation in vector algebra. To compute the dot product of two vectors, you multiply their corresponding components and then sum the results.
For example, if we have two vectors \(\mathbf{a} = a_1\mathbf{i} + a_2\mathbf{j}\) and \(\mathbf{b} = b_1\mathbf{i} + b_2\mathbf{j}\), the dot product \(\mathbf{a} \cdot \mathbf{b}\) is calculated as:
\[ \mathbf{a} \cdot \mathbf{b} = a_1b_1 + a_2b_2 \]
This operation is very useful in determining angles between vectors and in finding the projection of one vector onto another.
For example, if we have two vectors \(\mathbf{a} = a_1\mathbf{i} + a_2\mathbf{j}\) and \(\mathbf{b} = b_1\mathbf{i} + b_2\mathbf{j}\), the dot product \(\mathbf{a} \cdot \mathbf{b}\) is calculated as:
\[ \mathbf{a} \cdot \mathbf{b} = a_1b_1 + a_2b_2 \]
This operation is very useful in determining angles between vectors and in finding the projection of one vector onto another.
- Yields a scalar value rather than a vector.
- Cannot find the direction but can find the magnitude relation between vectors.
- Used in physics to compute work done, where force and displacement are vector quantities.
Explaining Vector Addition
Vector addition combines two or more vectors to result in another vector. This is done by adding the corresponding components of each vector. It's quite a straightforward operation and visually, you can think of it as connecting two vectors tip to tail and drawing a vector from the start of the first to the end of the second.
Mathematically, if you have \(\mathbf{u} = u_1\mathbf{i} + u_2\mathbf{j}\) and \(\mathbf{v} = v_1\mathbf{i} + v_2\mathbf{j}\), their addition is:
\[ \mathbf{u} + \mathbf{v} = (u_1 + v_1)\mathbf{i} + (u_2 + v_2)\mathbf{j} \]
Vector addition follows the commutative property, meaning \(\mathbf{u} + \mathbf{v} = \mathbf{v} + \mathbf{u}\), and the associative property, meaning \((\mathbf{u} + \mathbf{v}) + \mathbf{w} = \mathbf{u} + (\mathbf{v} + \mathbf{w})\).
Mathematically, if you have \(\mathbf{u} = u_1\mathbf{i} + u_2\mathbf{j}\) and \(\mathbf{v} = v_1\mathbf{i} + v_2\mathbf{j}\), their addition is:
\[ \mathbf{u} + \mathbf{v} = (u_1 + v_1)\mathbf{i} + (u_2 + v_2)\mathbf{j} \]
Vector addition follows the commutative property, meaning \(\mathbf{u} + \mathbf{v} = \mathbf{v} + \mathbf{u}\), and the associative property, meaning \((\mathbf{u} + \mathbf{v}) + \mathbf{w} = \mathbf{u} + (\mathbf{v} + \mathbf{w})\).
- Resulting vector is the diagonal of the parallelogram formed.
- Used in physics to sum forces, velocities, and other vector quantities.
- Helps visualize combined effects of vectors.
The Concept of Vector Subtraction
Vector subtraction is similar to vector addition, but instead of adding, you subtract the components of the vectors. If you have two vectors, \(\mathbf{u} = u_1\mathbf{i} + u_2\mathbf{j}\) and \(\mathbf{v} = v_1\mathbf{i} + v_2\mathbf{j}\), then the subtraction \(\mathbf{u} - \mathbf{v}\) is calculated as:
\[ \mathbf{u} - \mathbf{v} = (u_1 - v_1)\mathbf{i} + (u_2 - v_2)\mathbf{j} \]
Subtracting a vector is akin to reversing its direction and then performing vector addition.
\[ \mathbf{u} - \mathbf{v} = (u_1 - v_1)\mathbf{i} + (u_2 - v_2)\mathbf{j} \]
Subtracting a vector is akin to reversing its direction and then performing vector addition.
- Used to determine the relative position change of one vector with respect to another.
- Can help in understanding displacement or changes in velocity.
- Visually represented by creating a vector from the tip of the vector being subtracted to the tip of the vector doing the subtraction.
Other exercises in this chapter
Problem 16
15–36 Sketch the graph of the polar equation. $$r=-1$$
View solution Problem 17
Find \(2 \mathbf{u},-3 \mathbf{v}, \mathbf{u}+\mathbf{v},\) and \(3 \mathbf{u}-4 \mathbf{v}\) for the given vectors \(\mathbf{u}\) and \(\mathbf{v} .\) $$ \math
View solution Problem 17
\(17-24=\) Sketch the set in the complex plane. $$ \\{z=a+b i | a \leq 0, b \geq 0\\} $$
View solution Problem 17
15–36 Sketch the graph of the polar equation. $$\theta=-\pi / 2$$
View solution