Chapter 7: Problem 32
$$(\mathbf{i} \times \mathbf{j}) \times \mathbf{i}=\mathbf{k} \times \mathbf{i}=\mathbf{j}$$
Short Answer
Expert verified
The solution is \( \mathbf{j} \).
Step by step solution
01
Understand Cross Products in Unit Vectors
The unit vectors \( \mathbf{i}, \mathbf{j}, \mathbf{k} \) are part of the Cartesian coordinate system and have some known cross product relationships. Specifically, \( \mathbf{i} \times \mathbf{j} = \mathbf{k} \), \( \mathbf{j} \times \mathbf{k} = \mathbf{i} \), and \( \mathbf{k} \times \mathbf{i} = \mathbf{j} \). We will use these identities to solve the problem.
02
Simplify \((\mathbf{i} \times \mathbf{j}) \times \mathbf{i}\)
Start by finding \( \mathbf{i} \times \mathbf{j} \), which equals \( \mathbf{k} \). Then substitute \( \mathbf{k} \) into the expression for the next cross product: \( \mathbf{k} \times \mathbf{i} \).
03
Evaluate \(\mathbf{k} \times \mathbf{i}\)
According to the vector cross product identity, \( \mathbf{k} \times \mathbf{i} = \mathbf{j} \). Therefore, the expression \( (\mathbf{i} \times \mathbf{j}) \times \mathbf{i} \) simplifies to \( \mathbf{j} \).
04
Confirm Final Result
Check each step corresponds correctly with the known cross product identities. Since \( (\mathbf{i} \times \mathbf{j}) \times \mathbf{i} = \mathbf{k} \times \mathbf{i} = \mathbf{j} \), the problem statement is satisfied.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Cross Product
The cross product is a fundamental operation in vector calculus, particularly useful in physics and engineering. It helps determine a vector orthogonal to two given vectors in three dimensions. Suppose we have two vectors \( \mathbf{A} = a_1 \mathbf{i} + a_2 \mathbf{j} + a_3 \mathbf{k} \) and \( \mathbf{B} = b_1 \mathbf{i} + b_2 \mathbf{j} + b_3 \mathbf{k} \). The cross product, \( \mathbf{A} \times \mathbf{B} \), is defined as:\[\mathbf{A} \times \mathbf{B} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 \end{vmatrix} = (a_2b_3 - a_3b_2)\mathbf{i} - (a_1b_3 - a_3b_1)\mathbf{j} + (a_1b_2 - a_2b_1)\mathbf{k}\]The result of the cross product is always a vector and follows the right-hand rule:
- Point your index finger in the direction of the first vector.
- Your middle finger in the direction of the second vector.
- Your thumb will point in the direction of the cross product.
Unit Vectors
Unit vectors are vectors with a magnitude of 1. They are crucial in defining directions in space and simplify mathematical expressions. In the Cartesian coordinate system, unit vectors are represented as \( \mathbf{i} \), \( \mathbf{j} \), and \( \mathbf{k} \), which correspond to the directions of the x, y, and z axes respectively.
- \( \mathbf{i} \) points in the x-direction: \( (1, 0, 0) \)
- \( \mathbf{j} \) points in the y-direction: \( (0, 1, 0) \)
- \( \mathbf{k} \) points in the z-direction: \( (0, 0, 1) \)
Cartesian Coordinate System
The Cartesian coordinate system is a foundational tool in mathematics and physics for representing and analyzing vector spaces. It utilizes three perpendicular axes: x, y, and z, intersecting at an origin.
- Each point in space is described by three coordinates \( (x, y, z) \).
- The system follows right-handed orientation, which affects operations like cross products.
- It allows for easy visualization and calculation of vector relationships.