Use Axioms only to prove that the the solution to the equation 2x + y + 3z = 0 is a subspace of R³.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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### Proving Subspaces Using Axioms

**Problem Statement:**

Use Axioms only to prove that the solution to the equation \(2x + y + 3z = 0\) is a subspace of \(\mathbb{R}^3\).

---

In this problem, we need to show that the set of all solutions to the given linear equation forms a subspace of \(\mathbb{R}^3\). The set of solutions can be denoted as:

\[ S = \{ (x, y, z) \in \mathbb{R}^3 \mid 2x + y + 3z = 0 \} \]

To prove that \( S \) is a subspace, we need to verify that it satisfies the three main subspace axioms:

1. **Zero Vector Presence**: The zero vector of \(\mathbb{R}^3\) (which is (0,0,0)) must be in \(S\).
2. **Closure Under Addition**: For any two vectors \(u\) and \(v\) in \(S\), the vector \(u + v\) must also be in \(S\).
3. **Closure Under Scalar Multiplication**: For any vector \(u\) in \(S\) and any scalar \(c\), the vector \(cu\) must also be in \(S\).

---

### Verification

#### 1. Zero Vector

The zero vector in \(\mathbb{R}^3\) is \((0, 0, 0)\). We check if it satisfies the given equation:

\[ 2(0) + (0) + 3(0) = 0 \]

Since this holds true, the zero vector is in \( S \).

#### 2. Closure Under Addition

Let \( u = (x_1, y_1, z_1) \in S \) and \( v = (x_2, y_2, z_2) \in S \). Then by definition:

\[ 2x_1 + y_1 + 3z_1 = 0 \quad \text{and} \quad 2x_2 + y_2 + 3z_2 = 0 \]

We need to show that \( u + v = (x_1 + x_
Transcribed Image Text:--- ### Proving Subspaces Using Axioms **Problem Statement:** Use Axioms only to prove that the solution to the equation \(2x + y + 3z = 0\) is a subspace of \(\mathbb{R}^3\). --- In this problem, we need to show that the set of all solutions to the given linear equation forms a subspace of \(\mathbb{R}^3\). The set of solutions can be denoted as: \[ S = \{ (x, y, z) \in \mathbb{R}^3 \mid 2x + y + 3z = 0 \} \] To prove that \( S \) is a subspace, we need to verify that it satisfies the three main subspace axioms: 1. **Zero Vector Presence**: The zero vector of \(\mathbb{R}^3\) (which is (0,0,0)) must be in \(S\). 2. **Closure Under Addition**: For any two vectors \(u\) and \(v\) in \(S\), the vector \(u + v\) must also be in \(S\). 3. **Closure Under Scalar Multiplication**: For any vector \(u\) in \(S\) and any scalar \(c\), the vector \(cu\) must also be in \(S\). --- ### Verification #### 1. Zero Vector The zero vector in \(\mathbb{R}^3\) is \((0, 0, 0)\). We check if it satisfies the given equation: \[ 2(0) + (0) + 3(0) = 0 \] Since this holds true, the zero vector is in \( S \). #### 2. Closure Under Addition Let \( u = (x_1, y_1, z_1) \in S \) and \( v = (x_2, y_2, z_2) \in S \). Then by definition: \[ 2x_1 + y_1 + 3z_1 = 0 \quad \text{and} \quad 2x_2 + y_2 + 3z_2 = 0 \] We need to show that \( u + v = (x_1 + x_
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