Let S = {(1,0, 1), (0, 1,0)} be two vectors in R³. Write the following vectors as a linear combination of the vectors in S if possible. If it's not possible, show the matrix indicating why it isn't. (a) (-4, 6, –4) (b) (-4,3, 3) (c) (0,24, 0) (d) (1,0,0)

Algebra and Trigonometry (6th Edition)
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ChapterP: Prerequisites: Fundamental Concepts Of Algebra
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Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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**Vector Combinations in \( \mathbb{R}^3 \)**

Let's consider the set \( S = \{(1, 0, 1), (0, 1, 0)\} \) consisting of two vectors in \( \mathbb{R}^3 \). Our goal is to express the following vectors as linear combinations of the vectors in \( S \). If it is not feasible to do so, we will show the matrix that explains why it is not possible.

(a) \((-4, 6, -4)\)

(b) \((-4, 3, 3)\)

(c) \((0, 24, 0)\)

(d) \((1, 0, 0)\)

**Explanation:**

We aim to solve for constants \( a \) and \( b \) such that each of the given vectors can be written in the form:

\[ a(1, 0, 1) + b(0, 1, 0) = (a, b, a) \]

For each vector:

1. Determine \( a \) and \( b \) if possible.
2. Present the matrix representation that confirms whether the solutions exist.

This structured approach helps in verifying and understanding the linear dependence of vectors in \( \mathbb{R}^3 \).
Transcribed Image Text:**Vector Combinations in \( \mathbb{R}^3 \)** Let's consider the set \( S = \{(1, 0, 1), (0, 1, 0)\} \) consisting of two vectors in \( \mathbb{R}^3 \). Our goal is to express the following vectors as linear combinations of the vectors in \( S \). If it is not feasible to do so, we will show the matrix that explains why it is not possible. (a) \((-4, 6, -4)\) (b) \((-4, 3, 3)\) (c) \((0, 24, 0)\) (d) \((1, 0, 0)\) **Explanation:** We aim to solve for constants \( a \) and \( b \) such that each of the given vectors can be written in the form: \[ a(1, 0, 1) + b(0, 1, 0) = (a, b, a) \] For each vector: 1. Determine \( a \) and \( b \) if possible. 2. Present the matrix representation that confirms whether the solutions exist. This structured approach helps in verifying and understanding the linear dependence of vectors in \( \mathbb{R}^3 \).
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