Problem 33
Question
Assertion Angle between \(\hat{\mathbf{i}}+\hat{\mathbf{j}}\) and \(\hat{\mathbf{i}}\) is \(45^{\circ}\) Reason \(\hat{\mathbf{i}}+\hat{\mathbf{j}}\) is equally include to both \(\hat{\mathbf{i}}\) and \(\hat{\mathbf{j}}\) and the angle between \(\hat{i}\) and \(\hat{j}\) is \(90^{\circ}\).
Step-by-Step Solution
Verified Answer
Yes, the assertion is true and supported by the given reason.
1Step 1: Understand the Vectors
We have two vectors to consider: \( \hat{\mathbf{i}} + \hat{\mathbf{j}} \) and \( \hat{\mathbf{i}} \). The vector \( \hat{\mathbf{i}} + \hat{\mathbf{j}} \) is formed by adding the unit vectors in the x and y directions.
2Step 2: Calculate the Dot Product
The dot product of two vectors \( \mathbf{a} \) and \( \mathbf{b} \) can be calculated using \( \mathbf{a} \cdot \mathbf{b} = a_x b_x + a_y b_y + a_z b_z \). For our vectors \( \hat{\mathbf{i}} = (1, 0) \) and \( \hat{\mathbf{i}} + \hat{\mathbf{j}} = (1, 1) \), the dot product is: \( 1 \times 1 + 0 \times 1 = 1 \).
3Step 3: Find the Magnitude of the Vectors
The magnitude of a vector \( \mathbf{a} = (a_x, a_y) \) is given by \( \| \mathbf{a} \| = \sqrt{a_x^2 + a_y^2} \). For \( \hat{\mathbf{i}} \), the magnitude is \( \sqrt{1^2 + 0^2} = 1 \). For \( \hat{\mathbf{i}} + \hat{\mathbf{j}} \), the magnitude is \( \sqrt{1^2 + 1^2} = \sqrt{2} \).
4Step 4: Calculate the Angle Using the Dot Product Formula
The angle \( \theta \) between two vectors \( \mathbf{a} \) and \( \mathbf{b} \) can be found using \( \cos \theta = \frac{\mathbf{a} \cdot \mathbf{b}}{\|\mathbf{a}\| \|\mathbf{b}\|} \). Here, \( \cos \theta = \frac{1}{1 \cdot \sqrt{2}} = \frac{1}{\sqrt{2}} \). Therefore, \( \theta = 45^{\circ} \).
5Step 5: Verify the Reason
The assertion that the angle between \( \hat{\mathbf{i}} + \hat{\mathbf{j}} \) and \( \hat{\mathbf{i}} \) is \( 45^{\circ} \) holds true. The reason provided that \( \hat{\mathbf{i}} + \hat{\mathbf{j}} \) is equally inclined to both \( \hat{\mathbf{i}} \) and \( \hat{\mathbf{j}} \), and since the angle between \( \hat{\mathbf{i}} \) and \( \hat{\mathbf{j}} \) is \( 90^{\circ} \), this implies equal inclination hence supporting the assertion.
Key Concepts
Dot ProductVector MagnitudeAngle Between Vectors
Dot Product
The dot product is a fundamental operation in vector analysis. It allows us to determine the extent to which two vectors point in the same direction. The dot product of two vectors \( \mathbf{a} = (a_x, a_y, a_z) \) and \( \mathbf{b} = (b_x, b_y, b_z) \) is computed as:
\( \hat{\mathbf{i}} = (1, 0) \) and \( \hat{\mathbf{i}} + \hat{\mathbf{j}} = (1, 1) \).
To find the dot product, we perform the following calculation:
and it is a crucial step in finding the angle between them.
- \( \mathbf{a} \cdot \mathbf{b} = a_x b_x + a_y b_y + a_z b_z \)
\( \hat{\mathbf{i}} = (1, 0) \) and \( \hat{\mathbf{i}} + \hat{\mathbf{j}} = (1, 1) \).
To find the dot product, we perform the following calculation:
- \( 1 \times 1 + 0 \times 1 = 1 \)
and it is a crucial step in finding the angle between them.
Vector Magnitude
Vector magnitude, also referred to as the length or norm of a vector,
gives us an idea of how long a vector is. To find the magnitude of a vector \( \mathbf{a} = (a_x, a_y) \),
we use the formula:
which is necessary for calculating the angle between them.
gives us an idea of how long a vector is. To find the magnitude of a vector \( \mathbf{a} = (a_x, a_y) \),
we use the formula:
- \( \| \mathbf{a} \| = \sqrt{a_x^2 + a_y^2} \)
- For \( \hat{\mathbf{i}} = (1, 0) \), the magnitude is \( \sqrt{1^2 + 0^2} = 1 \).
- For \( \hat{\mathbf{i}} + \hat{\mathbf{j}} = (1, 1) \), the magnitude is \( \sqrt{1^2 + 1^2} = \sqrt{2} \).
which is necessary for calculating the angle between them.
Angle Between Vectors
The angle between vectors tells us about their relative direction.
To find this angle, we make use of the formula involving the dot product:
By rearranging the formula, we can solve for \( \theta \) when the other values are known.
Let's consider our vectors \( \hat{\mathbf{i}} = (1, 0) \) and \( \hat{\mathbf{i}} + \hat{\mathbf{j}} = (1, 1) \).
Previously, we found their dot product to be 1 and their magnitudes to be 1 and \( \sqrt{2} \) respectively.
Applying these values into our formula, we get:
showing that the two vectors form a 45-degree angle between them.
To find this angle, we make use of the formula involving the dot product:
- \( \cos \theta = \frac{\mathbf{a} \cdot \mathbf{b}}{\|\mathbf{a}\| \|\mathbf{b}\|} \)
By rearranging the formula, we can solve for \( \theta \) when the other values are known.
Let's consider our vectors \( \hat{\mathbf{i}} = (1, 0) \) and \( \hat{\mathbf{i}} + \hat{\mathbf{j}} = (1, 1) \).
Previously, we found their dot product to be 1 and their magnitudes to be 1 and \( \sqrt{2} \) respectively.
Applying these values into our formula, we get:
- \( \cos \theta = \frac{1}{1 \times \sqrt{2}} = \frac{1}{\sqrt{2}} \)
showing that the two vectors form a 45-degree angle between them.
Other exercises in this chapter
Problem 32
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