Problem 9
Question
Find (a) \(4 \mathrm{a}-2 \mathrm{~b}\) and \((\mathrm{b})-3 \mathrm{a}-5 \mathrm{~b}\). \(\mathbf{a}=\langle 1,-3\rangle, \mathbf{b}=\langle-1,1\rangle\)
Step-by-Step Solution
Verified Answer
\( 4 \mathbf{a} - 2 \mathbf{b} = \langle 6, -14 \rangle \) and \( -3 \mathbf{a} - 5 \mathbf{b} = \langle -8, 14 \rangle \).
1Step 1: Understand the Vectors
We are given two vectors: \( \mathbf{a} = \langle 1, -3 \rangle \) and \( \mathbf{b} = \langle -1, 1 \rangle \). We need to find \( 4 \mathbf{a} - 2 \mathbf{b} \) and \( -3 \mathbf{a} - 5 \mathbf{b} \).
2Step 2: Find 4a
First, we calculate \( 4 \mathbf{a} \). Using \( \mathbf{a} = \langle 1, -3 \rangle \), multiply each component by 4: \[ 4 \mathbf{a} = 4 \times \langle 1, -3 \rangle = \langle 4, -12 \rangle \].
3Step 3: Find 2b
Next, calculate \( 2 \mathbf{b} \). With \( \mathbf{b} = \langle -1, 1 \rangle \), multiply each component by 2:\[ 2 \mathbf{b} = 2 \times \langle -1, 1 \rangle = \langle -2, 2 \rangle \].
4Step 4: Calculate 4a - 2b
Subtract \( 2 \mathbf{b} \) from \( 4 \mathbf{a} \):\[ 4 \mathbf{a} - 2 \mathbf{b} = \langle 4, -12 \rangle - \langle -2, 2 \rangle = \langle 4 + 2, -12 - 2 \rangle = \langle 6, -14 \rangle \].
5Step 5: Find -3a
Calculate \( -3 \mathbf{a} \). Multiply each component of \( \mathbf{a} = \langle 1, -3 \rangle \) by -3:\[-3 \mathbf{a} = -3 \times \langle 1, -3 \rangle = \langle -3, 9 \rangle \].
6Step 6: Find -5b
Calculate \( -5 \mathbf{b} \). Multiply each component of \( \mathbf{b} = \langle -1, 1 \rangle \) by -5:\[-5 \mathbf{b} = -5 \times \langle -1, 1 \rangle = \langle 5, -5 \rangle \].
7Step 7: Calculate -3a - 5b
Subtract \( 5 \mathbf{b} \) from \( -3 \mathbf{a} \):\[-3 \mathbf{a} - 5 \mathbf{b} = \langle -3, 9 \rangle - \langle 5, -5 \rangle = \langle -3 - 5, 9 + 5 \rangle = \langle -8, 14 \rangle \].
Key Concepts
Vector AdditionScalar MultiplicationVector Subtraction
Vector Addition
When dealing with vectors, addition is a fundamental operation. It involves combining two or more vectors to create a new vector. Vector addition is performed by simply adding the corresponding components of the vectors together. For instance, if we have two vectors, \( \mathbf{u} = \langle u_1, u_2 \rangle \) and \( \mathbf{v} = \langle v_1, v_2 \rangle \), their addition is performed as follows:
\[ \mathbf{u} + \mathbf{v} = \langle u_1 + v_1, u_2 + v_2 \rangle \]
This means the first components of both vectors are added together, and then the second components are summed. Vector addition is useful in many real-world applications, including physics and engineering. It allows for the combination of quantities like displacement, velocity, or force.
\[ \mathbf{u} + \mathbf{v} = \langle u_1 + v_1, u_2 + v_2 \rangle \]
This means the first components of both vectors are added together, and then the second components are summed. Vector addition is useful in many real-world applications, including physics and engineering. It allows for the combination of quantities like displacement, velocity, or force.
- Each vector must have the same number of components to be added correctly.
- Vector addition results in another vector.
Scalar Multiplication
Scalar multiplication involves multiplying a vector by a scalar (a real number), which scales the vector by altering its magnitude, but not its direction unless the scalar is negative. Consider a vector \( \mathbf{v} = \langle x, y \rangle \) and a scalar \( k \). The scalar multiplication is performed by multiplying each component of \( \mathbf{v} \) by \( k \):
\[ k \mathbf{v} = k \times \langle x, y \rangle = \langle kx, ky \rangle \]
This operation outputs a new vector that points in the same direction as the original (if \( k > 0 \)), but is \( k \) times as long. If \( k < 0 \), the direction is reversed. An important point to remember is that scalar multiplication impacts magnitude but not component-wise relationships within a vector.
\[ k \mathbf{v} = k \times \langle x, y \rangle = \langle kx, ky \rangle \]
This operation outputs a new vector that points in the same direction as the original (if \( k > 0 \)), but is \( k \) times as long. If \( k < 0 \), the direction is reversed. An important point to remember is that scalar multiplication impacts magnitude but not component-wise relationships within a vector.
- Does not change direction unless the scalar is negative.
- Scaling affects the length or magnitude of the vector.
Vector Subtraction
Vector subtraction is similar to vector addition, except it involves deducting the components of one vector from another. This operation can be thought of as adding a negative vector. For vectors \( \mathbf{u} = \langle u_1, u_2 \rangle \) and \( \mathbf{v} = \langle v_1, v_2 \rangle \), vector subtraction is given by:
\[ \mathbf{u} - \mathbf{v} = \langle u_1 - v_1, u_2 - v_2 \rangle \]
Here, each component of the second vector is subtracted from the corresponding component of the first vector. Vector subtraction is useful in determining differences in quantities like displacement or velocity between two points.
\[ \mathbf{u} - \mathbf{v} = \langle u_1 - v_1, u_2 - v_2 \rangle \]
Here, each component of the second vector is subtracted from the corresponding component of the first vector. Vector subtraction is useful in determining differences in quantities like displacement or velocity between two points.
- First negate the vector you want to subtract and then perform an addition.
- Resulting vector indicates how to go from the tip of one vector to another.
Other exercises in this chapter
Problem 9
find \(\mathbf{a} \times \mathbf{b}\). $$ a=(2,2,-4), b=(-3,-3,6) $$
View solution Problem 9
Describe geometrically all points \(P(x, y, z)\) that satisfy the given condition. $$ x=2, y=3 $$
View solution Problem 10
In Problems, find parametric equations for the line through the given points. $$ (0,0,5),(-2,4,0) $$
View solution Problem 10
Use the Gram-Schmidt orthogonalization process (4) to transform the given basis \(\boldsymbol{B}=\left\\{\mathbf{u}_{1}, \mathbf{u}_{2}, \mathbf{u}_{3}\right\\}
View solution