. Janssen, KTH, 2014) Consider the linear system 0.550x + 0.423y = 0.127 0.484x +0.372y = 0.112 1.7 Suppose we are given two possible solutions, u = [_1,91] and v - 1.01 -0.99 a. Decide based on the residuals b – Au and b – Av which of the two possible solutions is the 'better' solution. b. Calculate the exact solution x. c. Compute the errors to the exact solution. That is, compute the infinity norms of u-x and v-x. Do the results change your answer to 7a?

Intermediate Algebra
19th Edition
ISBN:9780998625720
Author:Lynn Marecek
Publisher:Lynn Marecek
Chapter4: Systems Of Linear Equations
Section4.6: Solve Systems Of Equations Using Determinants
Problem 279E: Explain the steps for solving a system of equations using Cramer’s rule.
Question
**Consider the Linear System (Source: B. Janssen, KTH, 2014)**

Given the linear system of equations:
\[
0.550x + 0.423y = 0.127
\]
\[
0.484x + 0.372y = 0.112
\]

We are provided with two possible solutions:
\[
\mathbf{u} = \begin{bmatrix} 1.7 \\ -1.91 \end{bmatrix}
\]
and
\[
\mathbf{v} = \begin{bmatrix} 1.01 \\ -0.99 \end{bmatrix}
\]

**Tasks:**

a. **Determine the "Better" Solution:**
   - Use the residuals \(\mathbf{b} - A\mathbf{u}\) and \(\mathbf{b} - A\mathbf{v}\) to decide which of the two solutions is the "better" one.

b. **Calculate the Exact Solution \(\mathbf{x}\):**
   - Solve the given system to determine the exact values of \(x\) and \(y\).

c. **Compute Errors to the Exact Solution:**
   - Calculate the infinity norms of \(\mathbf{u} - \mathbf{x}\) and \(\mathbf{v} - \mathbf{x}\).
   - Assess if these results alter the conclusion from part (a).

**Explanation of the Linear Equations and Solutions**

1. **Equations:** The system consists of two equations with two unknowns \(x\) and \(y\). Each equation is a linear combination of \(x\) and \(y\) set equal to a constant.

2. **Residuals:** The residuals are calculated to measure the accuracy of the solutions \(\mathbf{u}\) and \(\mathbf{v}\). Mathematically, the residuals for solution \(\mathbf{u}\) are found by computing \(\mathbf{b} - A\mathbf{u}\), where \(\mathbf{b}\) is the vector of constants on the right-hand side of the equations.

3. **Exact Solution:** The exact solution \(\mathbf{x}\) is obtained by solving the system of equations using methods such as substitution, elimination, or matrix operations.

4. **Infinity Norms:** The infinity norm of a vector is the maximum absolute value of its components. Calcul
Transcribed Image Text:**Consider the Linear System (Source: B. Janssen, KTH, 2014)** Given the linear system of equations: \[ 0.550x + 0.423y = 0.127 \] \[ 0.484x + 0.372y = 0.112 \] We are provided with two possible solutions: \[ \mathbf{u} = \begin{bmatrix} 1.7 \\ -1.91 \end{bmatrix} \] and \[ \mathbf{v} = \begin{bmatrix} 1.01 \\ -0.99 \end{bmatrix} \] **Tasks:** a. **Determine the "Better" Solution:** - Use the residuals \(\mathbf{b} - A\mathbf{u}\) and \(\mathbf{b} - A\mathbf{v}\) to decide which of the two solutions is the "better" one. b. **Calculate the Exact Solution \(\mathbf{x}\):** - Solve the given system to determine the exact values of \(x\) and \(y\). c. **Compute Errors to the Exact Solution:** - Calculate the infinity norms of \(\mathbf{u} - \mathbf{x}\) and \(\mathbf{v} - \mathbf{x}\). - Assess if these results alter the conclusion from part (a). **Explanation of the Linear Equations and Solutions** 1. **Equations:** The system consists of two equations with two unknowns \(x\) and \(y\). Each equation is a linear combination of \(x\) and \(y\) set equal to a constant. 2. **Residuals:** The residuals are calculated to measure the accuracy of the solutions \(\mathbf{u}\) and \(\mathbf{v}\). Mathematically, the residuals for solution \(\mathbf{u}\) are found by computing \(\mathbf{b} - A\mathbf{u}\), where \(\mathbf{b}\) is the vector of constants on the right-hand side of the equations. 3. **Exact Solution:** The exact solution \(\mathbf{x}\) is obtained by solving the system of equations using methods such as substitution, elimination, or matrix operations. 4. **Infinity Norms:** The infinity norm of a vector is the maximum absolute value of its components. Calcul
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