M2x2 → P2 by g ( a b c d (a + 2b)x² - cx + 3d.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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A. Determine the matrix representation for g if it is a linear transformation. If not, make a minor change to g to convert it to a linear transformation and demonstrate that your new function is a linear transformation. b. Is g a linear transformation or not. If yes, demonstrate that it meets the conditions for a linear transformation or explain why it does not.
**Mathematical Transformation from Matrices to Polynomials**

The function \( \mathcal{M}_{2 \times 2} \to \mathcal{P}_2 \) is defined by the mapping:

\[
g \left( \begin{pmatrix} a & b \\ c & d \end{pmatrix} \right) = (a + 2b)x^2 - cx + 3d.
\]

**Explanation:**

- The domain of the function is \( \mathcal{M}_{2 \times 2} \), which represents the set of all \( 2 \times 2 \) matrices.
- The codomain is \( \mathcal{P}_2 \), the space of polynomials of degree 2.
- The function \( g \) takes a matrix of the form:

  \[
  \begin{pmatrix} a & b \\ c & d \end{pmatrix}
  \]

  and maps it to the polynomial:

  \[
  (a + 2b)x^2 - cx + 3d.
  \]

This transformation takes the matrix elements and uses them as coefficients in a second-degree polynomial, illustrating how algebraic structures can interrelate through specific mappings.
Transcribed Image Text:**Mathematical Transformation from Matrices to Polynomials** The function \( \mathcal{M}_{2 \times 2} \to \mathcal{P}_2 \) is defined by the mapping: \[ g \left( \begin{pmatrix} a & b \\ c & d \end{pmatrix} \right) = (a + 2b)x^2 - cx + 3d. \] **Explanation:** - The domain of the function is \( \mathcal{M}_{2 \times 2} \), which represents the set of all \( 2 \times 2 \) matrices. - The codomain is \( \mathcal{P}_2 \), the space of polynomials of degree 2. - The function \( g \) takes a matrix of the form: \[ \begin{pmatrix} a & b \\ c & d \end{pmatrix} \] and maps it to the polynomial: \[ (a + 2b)x^2 - cx + 3d. \] This transformation takes the matrix elements and uses them as coefficients in a second-degree polynomial, illustrating how algebraic structures can interrelate through specific mappings.
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