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(I) Calculate the angle between the vectors: \(\vec { \mathbf { A } } = 6.8 \hat { \mathbf { i } } - 3.4 \hat { \mathbf { j } } - 6.2 \hat { \mathbf { k } } \quad\) and \(\quad \vec { \mathbf { B } } = 8.2 \hat { \mathbf { i } } + 2.3 \hat { \mathbf { j } } - 7.0 \hat { \mathbf { k } }\)

Short Answer

Expert verified
The angle between the vectors is approximately \( 32.21^\circ \).

Step by step solution

01

Write Down the Vectors

We start by defining our vectors. The vector \( \vec{\mathbf{A}} \) is given by: \[ \vec{\mathbf{A}} = 6.8 \hat{\mathbf{i}} - 3.4 \hat{\mathbf{j}} - 6.2 \hat{\mathbf{k}} \] and the vector \( \vec{\mathbf{B}} \) is:\[ \vec{\mathbf{B}} = 8.2 \hat{\mathbf{i}} + 2.3 \hat{\mathbf{j}} - 7.0 \hat{\mathbf{k}} \]
02

Calculate Dot Product of the Vectors

The dot product \( \vec{\mathbf{A}} \cdot \vec{\mathbf{B}} \) is determined by multiplying corresponding components and summing them up:\[ \vec{\mathbf{A}} \cdot \vec{\mathbf{B}} = (6.8)(8.2) + (-3.4)(2.3) + (-6.2)(-7.0) \]Calculating this gives:\[ \vec{\mathbf{A}} \cdot \vec{\mathbf{B}} = 55.76 - 7.82 + 43.4 = 91.34 \]
03

Calculate Magnitude of Each Vector

The magnitude of a vector \( \vec{\mathbf{A}} = (x, y, z) \) is calculated using the formula:\[ |\vec{\mathbf{A}}| = \sqrt{x^2 + y^2 + z^2} \]Magnitude of \( \vec{\mathbf{A}} \):\[ |\vec{\mathbf{A}}| = \sqrt{(6.8)^2 + (-3.4)^2 + (-6.2)^2} = \sqrt{46.24 + 11.56 + 38.44} = \sqrt{96.24} \approx 9.808 \]Magnitude of \( \vec{\mathbf{B}} \):\[ |\vec{\mathbf{B}}| = \sqrt{(8.2)^2 + (2.3)^2 + (-7.0)^2} = \sqrt{67.24 + 5.29 + 49} = \sqrt{121.53} \approx 11.026 \]
04

Use the Dot Product to Find the Angle

The angle \( \theta \) between two vectors can be found using the formula:\[ \cos \theta = \frac{\vec{\mathbf{A}} \cdot \vec{\mathbf{B}}}{|\vec{\mathbf{A}}| \cdot |\vec{\mathbf{B}}|} \]Substitute the values we calculated:\[ \cos \theta = \frac{91.34}{9.808 \times 11.026} \approx \frac{91.34}{108.196} \approx 0.844 \]
05

Calculate the Angle

To find \( \theta \), take the inverse cosine:\[ \theta = \cos^{-1}(0.844) \approx 32.21^\circ \]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Dot Product
The dot product is a fundamental tool in vector mathematics that allows us to determine how "aligned" two vectors are with one another. It is calculated by multiplying the corresponding components of the vectors and summing the results.

In mathematical terms, for two vectors \( \vec{\mathbf{A}} = (a_1, a_2, a_3) \) and \( \vec{\mathbf{B}} = (b_1, b_2, b_3) \), the dot product \( \vec{\mathbf{A}} \cdot \vec{\mathbf{B}} \) is given by:

  • \( \vec{\mathbf{A}} \cdot \vec{\mathbf{B}} = a_1 \cdot b_1 + a_2 \cdot b_2 + a_3 \cdot b_3 \)
The result of this operation is a scalar (a single number), not a vector.

The dot product has several important applications, including:
  • Calculating the angle between vectors
  • Determining the projection of one vector onto another
  • Checking for orthogonality (perpendicularity) – if the dot product is zero, vectors are perpendicular
Vector Magnitude
Vector magnitude refers to the "length" or "size" of a vector. It is a measure of how long the vector is in a particular space, and it is always a non-negative number.

To calculate the magnitude of a vector \( \vec{\mathbf{A}} = (x, y, z) \), we use the formula:

  • \( |\vec{\mathbf{A}}| = \sqrt{x^2 + y^2 + z^2} \)
This formula is essentially an extension of the Pythagorean theorem to three dimensions, showing the distance from the origin to the point described by the vector.

The magnitude of a vector is crucial in various applications, such as:
  • Normalizing vectors, which involves creating a unit vector (a vector with magnitude 1)
  • Calculating physical quantities like force and velocity in physics
  • Determining distances between points in spatial analyses
Angle Between Vectors
The angle between two vectors is a measure of their direction relative to each other. It is an important concept in vector mathematics, especially when analyzing directional similarity or compatibility between vectors.

To find the angle between two vectors, \( \vec{\mathbf{A}} \) and \( \vec{\mathbf{B}} \), we can utilize the dot product. The formula that helps us is:

  • \( \cos \theta = \frac{\vec{\mathbf{A}} \cdot \vec{\mathbf{B}}}{|\vec{\mathbf{A}}| \cdot |\vec{\mathbf{B}}|} \)
Here, \( \theta \) is the angle between the vectors. To find the angle itself, \( \theta = \cos^{-1}(\cos \theta) \) is used.

Understanding angles between vectors is useful in many fields, including physics, engineering, and computer graphics:
  • It helps in finding relationships between vectors in simulations and animations
  • It assists in optimizing trajectories and directions in engineering applications
  • Helps in detecting similarities or differences in data science vectors

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Most popular questions from this chapter

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