Is this a subspace of M

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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Is this a subspace of M2×2?
The image displays a mathematical expression defining a set \( V \):

\[
V = \left\{ \begin{bmatrix} a & b \\ 0 & c \end{bmatrix} \bigg| a + b = 0, \, c \in \mathbb{R} \right\}
\]

### Explanation

- **Set Notation**: The curly braces \(\{\}\) are used to define the set \( V \).
  
- **Matrix Structure**: The elements of the set are matrices of size 2x2 with the form:
  \[
  \begin{bmatrix} a & b \\ 0 & c \end{bmatrix}
  \]
  Here, \( a \), \( b \), and \( c \) are real numbers, denoted as \( a, b, c \in \mathbb{R} \).

- **Condition**: A condition given is \( a + b = 0 \). This implies that for the matrix to be included in the set \( V \), the sum of elements \( a \) and \( b \), which are in the first row, must be zero.

- **Variable \( c \)**: The element \( c \) in the second row can be any real number, indicated by \( c \in \mathbb{R} \).

This type of mathematical expression is typically used in linear algebra to define specific subspaces or sets of matrices that satisfy given conditions.
Transcribed Image Text:The image displays a mathematical expression defining a set \( V \): \[ V = \left\{ \begin{bmatrix} a & b \\ 0 & c \end{bmatrix} \bigg| a + b = 0, \, c \in \mathbb{R} \right\} \] ### Explanation - **Set Notation**: The curly braces \(\{\}\) are used to define the set \( V \). - **Matrix Structure**: The elements of the set are matrices of size 2x2 with the form: \[ \begin{bmatrix} a & b \\ 0 & c \end{bmatrix} \] Here, \( a \), \( b \), and \( c \) are real numbers, denoted as \( a, b, c \in \mathbb{R} \). - **Condition**: A condition given is \( a + b = 0 \). This implies that for the matrix to be included in the set \( V \), the sum of elements \( a \) and \( b \), which are in the first row, must be zero. - **Variable \( c \)**: The element \( c \) in the second row can be any real number, indicated by \( c \in \mathbb{R} \). This type of mathematical expression is typically used in linear algebra to define specific subspaces or sets of matrices that satisfy given conditions.
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Introduction:

A vector space that is totally contained within another vector space is known as a subspace. Both are required to completely define a subspace because it is defined relative to its contained space; for instance, R2 is a subspace of R3 as well asR4, C4 etc.

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