Problem 66
Question
What is the angle between \(\hat{\mathbf{i}}+\hat{\mathbf{j}}+\hat{\mathbf{k}}\) and \(\hat{\mathbf{i}}\) ? (a) \(0^{\circ}\) (b) \(\pi / 6\) (c) \(\pi / 3\) (d) None of these
Step-by-Step Solution
Verified Answer
The angle is \( \pi/6 \) radians.
1Step 1: Understand the Vectors
The vectors provided are \( \hat{\mathbf{i}} + \hat{\mathbf{j}} + \hat{\mathbf{k}} \) and \( \hat{\mathbf{i}} \). These are expressed in terms of components along the x, y, and z axes.
2Step 2: Calculate the Dot Product
Use the formula for the dot product: \( \mathbf{a} \cdot \mathbf{b} = a_xb_x + a_yb_y + a_zb_z \). Here, \( \mathbf{a} = \hat{\mathbf{i}} + \hat{\mathbf{j}} + \hat{\mathbf{k}} \) and \( \mathbf{b} = \hat{\mathbf{i}} \). The dot product is \( (1)(1) + (1)(0) + (1)(0) = 1 \).
3Step 3: Find the Magnitudes of the Vectors
The magnitude of \( \hat{\mathbf{i}} + \hat{\mathbf{j}} + \hat{\mathbf{k}} \) is \( \sqrt{1^2 + 1^2 + 1^2} = \sqrt{3} \). The magnitude of \( \hat{\mathbf{i}} \) is \( \sqrt{1^2} = 1 \).
4Step 4: Use the Dot Product to Find the Cosine of the Angle
The cosine of the angle \( \theta \) between two vectors is given by \( \cos \theta = \frac{\mathbf{a} \cdot \mathbf{b}}{\|\mathbf{a}\| \|\mathbf{b}\|} \). Substituting the values, we get \( \cos \theta = \frac{1}{\sqrt{3} \times 1} = \frac{1}{\sqrt{3}} \).
5Step 5: Find the Angle from the Cosine Value
The angle whose cosine is \( \frac{1}{\sqrt{3}} \) is \( \pi/6 \) radians. This is obtained by using the inverse cosine function, \( \theta = \cos^{-1}\left(\frac{1}{\sqrt{3}}\right) \).
Key Concepts
Dot ProductMagnitude of a VectorTrigonometry in Vectors
Dot Product
The dot product, also known as the scalar product, is a foundational concept in vector mathematics. It is a way to multiply two vectors to produce a single scalar. The formula for the dot product of two vectors \( \mathbf{a} = (a_x, a_y, a_z) \) and \( \mathbf{b} = (b_x, b_y, b_z) \) is: \( \mathbf{a} \cdot \mathbf{b} = a_xb_x + a_yb_y + a_zb_z \).
This equation tells us that in order to find the dot product, we simply multiply the corresponding components of the vectors and add them together. The result is a single number, which can be used to determine properties such as the angle between two vectors. In the case of our example, the vector \( \hat{\mathbf{i}} + \hat{\mathbf{j}} + \hat{\mathbf{k}} \) and \( \hat{\mathbf{i}} \) have a dot product of 1. This step is crucial because it bridges vector multiplication with geometric analysis.
This equation tells us that in order to find the dot product, we simply multiply the corresponding components of the vectors and add them together. The result is a single number, which can be used to determine properties such as the angle between two vectors. In the case of our example, the vector \( \hat{\mathbf{i}} + \hat{\mathbf{j}} + \hat{\mathbf{k}} \) and \( \hat{\mathbf{i}} \) have a dot product of 1. This step is crucial because it bridges vector multiplication with geometric analysis.
- Determine corresponding vector components for multiplication.
- Add the results to get the dot product.
Magnitude of a Vector
The magnitude of a vector is a measure of its length in space. It is equivalent to the "distance" the vector represents from the origin. The formula for finding the magnitude of a given vector \( \mathbf{v} = (v_x, v_y, v_z) \) is \( \|\mathbf{v}\| = \sqrt{v_x^2 + v_y^2 + v_z^2} \).
This means to find how "long" the vector is, you square each of its components, add them together, and then take the square root of that summation. In our example, the magnitude of \( \hat{\mathbf{i}} + \hat{\mathbf{j}} + \hat{\mathbf{k}} \) is \( \sqrt{3} \), while the magnitude of \( \hat{\mathbf{i}} \) is 1.
This means to find how "long" the vector is, you square each of its components, add them together, and then take the square root of that summation. In our example, the magnitude of \( \hat{\mathbf{i}} + \hat{\mathbf{j}} + \hat{\mathbf{k}} \) is \( \sqrt{3} \), while the magnitude of \( \hat{\mathbf{i}} \) is 1.
- Square each component of the vector.
- Add those squared values.
- Take the square root of the sum to find the magnitude.
Trigonometry in Vectors
Trigonometry plays a key role in understanding and calculating angles between vectors. Using the dot product and magnitudes, we can find the angle between two vectors using the cosine formula: \( \cos \theta = \frac{\mathbf{a} \cdot \mathbf{b}}{\|\mathbf{a}\| \|\mathbf{b}\|} \).
This formula is derived from the dot product definition and captures how the angle relates to vector magnitudes. In the given problem, \( \cos \theta = \frac{1}{\sqrt{3}} \), and subsequently, the angle \( \theta \) is found by taking the inverse cosine \( \cos^{-1} \). The result is \( \pi/6 \) radians, highlighting how trigonometry helps us transition from vector calculations to actual angle determination.
This formula is derived from the dot product definition and captures how the angle relates to vector magnitudes. In the given problem, \( \cos \theta = \frac{1}{\sqrt{3}} \), and subsequently, the angle \( \theta \) is found by taking the inverse cosine \( \cos^{-1} \). The result is \( \pi/6 \) radians, highlighting how trigonometry helps us transition from vector calculations to actual angle determination.
- Use the dot product and magnitudes to set up \( \cos \theta \).
- Calculate \( \theta \) using the inverse cosine function.
- Understand how this connects the geometry and algebra of vectors.
Other exercises in this chapter
Problem 64
If the vectors \(\mathbf{A}=2 \hat{\mathbf{i}}+4 \hat{\mathbf{j}}\) and \(\mathbf{B}=5 \hat{\mathbf{i}}-p \hat{\mathbf{j}}\) are parallel to each other, the mag
View solution Problem 65
If the magnitudes of scalar and vector products of two vectors are 6 and \(6 \sqrt{3}\) respectively, then the angle between two vectors is (a) \(15^{\circ}\) (
View solution Problem 67
An object moves along a straight line path from \(P\) to Q under the action of a force \((4 \hat{\mathbf{i}}-3 \hat{\mathbf{j}}+3 \hat{\mathbf{k}}) \mathrm{N}\)
View solution Problem 69
Given that \(A\) and \(B\) are greater than 1 . The magnitude of \((\mathbf{A} \times \mathbf{B})\) cannot be (a) equal to \(A B\) (b) less than \(A B\) (c) mor
View solution