Calculating Vector W From A Linear Combination Of V1, V2, And V3
Introduction
In the realm of linear algebra, the concept of combining vectors through scalar multiplication and addition is fundamental. This process, known as linear combination, allows us to express a new vector as a sum of scaled versions of other vectors. In this article, we will delve into the process of calculating a vector w as a linear combination of three given vectors: v1, v2, and v3. We'll explore the underlying principles and apply them to a specific example, providing a step-by-step guide to help you master this essential concept.
Problem Statement
Our objective is to determine the coordinates of the vector w, which is defined as a linear combination of the vectors v1, v2, and v3. We are given the following information:
- v1 = (-3, 0, 4)
- v2 = (21, -11, -9)
- v3 = (7, -8, 1)
- w = 1v1 - 1v2 + 2v3
To find the coordinates of w, we need to perform the scalar multiplications and vector additions as indicated in the expression for w. Let's break down the process step by step.
Step-by-Step Calculation
1. Scalar Multiplication
The first step involves multiplying each vector by its corresponding scalar coefficient. This operation scales the magnitude of the vector while preserving its direction (or reversing it if the scalar is negative).
- 1v1 = 1 * (-3, 0, 4) = (-3, 0, 4)
- -1v2 = -1 * (21, -11, -9) = (-21, 11, 9)
- 2v3 = 2 * (7, -8, 1) = (14, -16, 2)
2. Vector Addition
Next, we add the resulting scaled vectors together. Vector addition is performed component-wise, meaning we add the corresponding components of each vector.
w = 1v1 - 1v2 + 2v3 = (-3, 0, 4) + (-21, 11, 9) + (14, -16, 2)
To add the vectors, we sum their corresponding components:
- x-component: -3 + (-21) + 14 = -10
- y-component: 0 + 11 + (-16) = -5
- z-component: 4 + 9 + 2 = 15
Therefore, the vector w is:
w = (-10, -5, 15)
Analyzing the Result
By performing the linear combination, we have successfully determined the coordinates of vector w. The result, w = (-10, -5, 15), represents a new vector in three-dimensional space that is a combination of the original vectors v1, v2, and v3.
This process demonstrates the power of linear combinations in generating new vectors from existing ones. By varying the scalar coefficients, we can create a wide range of vectors that lie within the span of the original vectors. This concept is crucial in various applications, including computer graphics, physics, and engineering.
Alternative Solutions and Verification
While we have provided a detailed step-by-step calculation, it's always beneficial to explore alternative approaches and verify our results. One way to verify our answer is to use software or online calculators that perform vector operations. These tools can help confirm our calculations and provide additional insights.
Another approach is to visualize the vectors in three-dimensional space. Although it might be challenging to plot the vectors precisely, a rough sketch can help us understand the geometric relationship between v1, v2, v3, and w. This visualization can provide a qualitative check on our result.
Conclusion
In this article, we have successfully calculated the vector w as a linear combination of vectors v1, v2, and v3. By following a step-by-step approach, we performed scalar multiplication and vector addition to arrive at the solution: w = (-10, -5, 15). This process highlights the fundamental principles of linear algebra and the power of linear combinations in generating new vectors.
Understanding linear combinations is essential for various applications in mathematics, science, and engineering. By mastering this concept, you'll be well-equipped to tackle more complex problems involving vectors and vector spaces. Remember to practice and explore different examples to solidify your understanding. Keep exploring the fascinating world of linear algebra! In conclusion, we have determined the coordinates of vector w, which is a linear combination of vectors v1, v2, and v3. The calculated coordinates for vector w are (-10, -5, 15), derived from the expression w = 1v1 - 1v2 + 2v3, where v1=(-3, 0, 4), v2=(21, -11, -9), and v3=(7, -8, 1). This calculation involved scalar multiplication and vector addition, demonstrating a practical application of linear algebra principles. Understanding the concept of vector combination is crucial in various fields, including computer graphics and physics, as it allows for the generation of new vectors from existing ones. To ensure accuracy, we performed a step-by-step calculation, which included multiplying each vector by its scalar coefficient and then adding the resulting vectors component-wise. This method allowed us to systematically determine the x, y, and z components of vector w. The result, w = (-10, -5, 15), represents a vector in three-dimensional space that is a combination of the original vectors. This process not only provides a solution but also reinforces the understanding of vector operations, which are fundamental in many scientific and engineering disciplines. By mastering these operations, one can effectively manipulate and analyze vector quantities, which are essential in modeling real-world phenomena. Furthermore, the ability to combine vectors linearly opens doors to solving more complex problems and understanding advanced concepts in linear algebra. 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Linear combinations are a powerful tool for transforming and manipulating vectors, and their applications extend to numerous fields, including computer graphics, physics, and engineering. In computer graphics, for instance, linear combinations are used to create complex shapes and animations by combining simpler vector primitives. In physics, forces and velocities can be represented as vectors, and their combined effect can be determined through linear combinations. The systematic approach used to calculate w emphasizes the importance of careful and methodical problem-solving in mathematics. This process not only ensures accuracy but also deepens the understanding of the underlying concepts. Mastering linear combinations is a crucial step in the study of linear algebra and its applications, providing a foundation for more advanced topics such as matrix transformations and eigenvalue problems. 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Understanding how to combine vectors linearly is essential for solving problems in these fields. In computer graphics, for example, linear combinations of vectors are used to transform and manipulate objects in 3D space. In physics, the principle of superposition, which states that the combined effect of multiple forces is the vector sum of the individual forces, relies on the concept of linear combinations. The systematic calculation of vector w highlights the importance of methodical problem-solving in mathematics. Each step, from scalar multiplication to vector addition, must be performed carefully to ensure accuracy. This process not only yields the correct answer but also reinforces the understanding of the underlying mathematical principles. Linear combinations are a building block for more advanced topics in linear algebra, such as matrix transformations and eigenvalues. Mastering these concepts is crucial for anyone pursuing a career in mathematics, science, or engineering. 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Answer
The correct answer is not explicitly provided in the text. Based on our calculations, the coordinates of vector w are (-10, -5, 15). Comparing this result with the given alternatives:
- A) (10, 16, -2) - Incorrect
The calculated answer (-10, -5, 15) does not match any of the provided alternatives. This could indicate an error in the alternatives provided or a misunderstanding in the problem statement. However, based on the given information and our calculations, (-10, -5, 15) is the correct answer.
Final Answer
The coordinates of the vector w are (-10, -5, 15).