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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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**Title: Linear Algebra: Finding a Basis and Coordinate Vectors**

**Topic: Vector Spaces and Subspaces**

**Let \( U = \text{span} \left( \begin{bmatrix} 1 \\ 0 \\ 1 \end{bmatrix}, \begin{bmatrix} 0 \\ 1 \\ 1 \end{bmatrix} \right) \) be a subspace of \(\mathbb{R}^3\).**

### a) Find a basis of \( U \).

The problem asks us to determine a set of vectors that can form a basis for the subspace \( U \). A basis is a set of linearly independent vectors that span the vector space or subspace.

### b) Let \( x = \begin{bmatrix} 1 \\ 0 \\ 0 \end{bmatrix} \).

- **Task 1:** Use the basis you found in (a) to create a matrix \( B \).
- **Task 2:** Use this matrix to find the coordinate vector of \( x \) in terms of the subspace \( U \).

The aim is to express the vector \( x \) in terms of the basis identified for the subspace \( U \). This involves using techniques from linear algebra to find the coordinate equivalents in the basis \( B \).
Transcribed Image Text:**Title: Linear Algebra: Finding a Basis and Coordinate Vectors** **Topic: Vector Spaces and Subspaces** **Let \( U = \text{span} \left( \begin{bmatrix} 1 \\ 0 \\ 1 \end{bmatrix}, \begin{bmatrix} 0 \\ 1 \\ 1 \end{bmatrix} \right) \) be a subspace of \(\mathbb{R}^3\).** ### a) Find a basis of \( U \). The problem asks us to determine a set of vectors that can form a basis for the subspace \( U \). A basis is a set of linearly independent vectors that span the vector space or subspace. ### b) Let \( x = \begin{bmatrix} 1 \\ 0 \\ 0 \end{bmatrix} \). - **Task 1:** Use the basis you found in (a) to create a matrix \( B \). - **Task 2:** Use this matrix to find the coordinate vector of \( x \) in terms of the subspace \( U \). The aim is to express the vector \( x \) in terms of the basis identified for the subspace \( U \). This involves using techniques from linear algebra to find the coordinate equivalents in the basis \( B \).
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