Problem 10
Question
find \(\mathbf{a} \times \mathbf{b}\). $$ \mathbf{a}=(8,1,-6), \mathbf{b}=\langle 1,-2,10\rangle $$
Step-by-Step Solution
Verified Answer
The cross product is \((-2, -86, -17)\).
1Step 1: Identify Components
Vectors \( \mathbf{a} \) and \( \mathbf{b} \) are given in component form. \( \mathbf{a} = (8, 1, -6) \) means the components are \( a_1 = 8 \), \( a_2 = 1 \), \( a_3 = -6 \). Similarly, \( \mathbf{b} = (1, -2, 10) \) gives \( b_1 = 1 \), \( b_2 = -2 \), and \( b_3 = 10 \).
2Step 2: Use Cross Product Formula
The cross product \( \mathbf{a} \times \mathbf{b} \) is given by the determinant: \[ \mathbf{a} \times \mathbf{b} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 \end{vmatrix} \] Where \( \mathbf{i}, \mathbf{j}, \mathbf{k} \) are the unit vectors in the x, y, and z directions.
3Step 3: Calculate the Determinant
Expand the determinant using the method of minors and cofactors:\[ \mathbf{a} \times \mathbf{b} = \mathbf{i}(a_2b_3 - a_3b_2) - \mathbf{j}(a_1b_3 - a_3b_1) + \mathbf{k}(a_1b_2 - a_2b_1) \] Substituting the component values:\[ = \mathbf{i}(1 \times 10 - (-6) \times (-2)) - \mathbf{j}(8 \times 10 - (-6) \times 1) + \mathbf{k}(8 \times (-2) - 1 \times 1) \]
4Step 4: Simplify Each Term
Calculate the simplified forms of each component:\[ \mathbf{i}(10 - 12) = \mathbf{i}(-2) \]\[ - \mathbf{j}(80 + 6) = -\mathbf{j}(86) \]\[ \mathbf{k}(-16 - 1) = \mathbf{k}(-17) \]
5Step 5: Combine Results
Combine the individual components into a single vector:\[ \mathbf{a} \times \mathbf{b} = (-2)\mathbf{i} - 86\mathbf{j} - 17\mathbf{k} \]This gives us \( \mathbf{a} \times \mathbf{b} = (-2, -86, -17) \).
Key Concepts
Vector MathematicsDeterminant CalculationUnit Vectors
Vector Mathematics
Vector mathematics is an important topic in physics and engineering, where quantities are represented by vectors. Vectors have both magnitude and direction, making them different from scalar quantities, which only have magnitude.
In the context of our problem, we are dealing with two 3-dimensional vectors, \( \mathbf{a} = (8, 1, -6) \) and \( \mathbf{b} = (1, -2, 10) \). The cross product is a binary operation on two vectors in three-dimensional space that results in another vector.
Some key features of vector cross product include:
In the context of our problem, we are dealing with two 3-dimensional vectors, \( \mathbf{a} = (8, 1, -6) \) and \( \mathbf{b} = (1, -2, 10) \). The cross product is a binary operation on two vectors in three-dimensional space that results in another vector.
Some key features of vector cross product include:
- It results in a vector that is perpendicular to both original vectors.
- Its magnitude is given by the area of the parallelogram that the vectors span.
- The direction of the resultant vector is determined by the right-hand rule.
Determinant Calculation
To calculate the cross product of the vectors \( \mathbf{a} \) and \( \mathbf{b} \), we use a determinant involving unit vectors. The determinant allows us to compute the cross product in a systematic manner.
The determinant is structured as follows:\[ \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 \end{vmatrix} \]Here, \( \mathbf{i}, \mathbf{j}, \mathbf{k} \) are the standard unit vectors in the x, y, and z directions, respectively.
The calculation involves expanding the determinant using a method called expansion by minors and cofactors. Each term of the cross product corresponds to a minor determinant:
The determinant is structured as follows:\[ \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 \end{vmatrix} \]Here, \( \mathbf{i}, \mathbf{j}, \mathbf{k} \) are the standard unit vectors in the x, y, and z directions, respectively.
The calculation involves expanding the determinant using a method called expansion by minors and cofactors. Each term of the cross product corresponds to a minor determinant:
- \( \mathbf{i}(a_2b_3 - a_3b_2) \)
- \( -\mathbf{j}(a_1b_3 - a_3b_1) \)
- \( \mathbf{k}(a_1b_2 - a_2b_1) \)
Unit Vectors
In three-dimensional space, unit vectors are essential as they provide a basis for describing any vector. Each unit vector has a magnitude of 1 and points along the axes of a coordinate system.
There are three primary unit vectors in a Cartesian coordinate system:
They ensure that each component of a vector is accounted for along the x, y, and z axes. The use of unit vectors provides standardization, making vector calculations uniform. Understanding unit vectors is crucial since they act as building blocks for more complex vector expressions and operations.
There are three primary unit vectors in a Cartesian coordinate system:
- \( \mathbf{i} \): points in the positive x-direction
- \( \mathbf{j} \): points in the positive y-direction
- \( \mathbf{k} \): points in the positive z-direction
They ensure that each component of a vector is accounted for along the x, y, and z axes. The use of unit vectors provides standardization, making vector calculations uniform. Understanding unit vectors is crucial since they act as building blocks for more complex vector expressions and operations.
Other exercises in this chapter
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