Use NumPy to complete the following task(s). 2. Solve Assignment 4.1 #2a. 2. Consider the system x + ky = 1 x + y = 4, where k is a constant. where k is a constant. a. Solve the system for k = 0.99, k = 0.99999, k = 1.01, and k = 1.00001.

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Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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### Solving Linear Systems with NumPy

#### Task Instructions

**2. Solve Assignment 4.1 #2a.**

**2. Consider the system of linear equations:**

\[ x + ky = 1 \]
\[ x + y = 4 \]

where \( k \) is a constant.

**a. Solve the system for \( k = 0.99 \), \( k = 0.99999 \), \( k = 1.01 \), and \( k = 1.00001 \).**

To solve this system of linear equations, we will utilize the NumPy library in Python. By substituting the given values of \( k \), we will find the solutions for the variables \( x \) and \( y \).

**Graphical Explanation (If required):**

To provide a deeper understanding, a graphical representation of the equations and their solutions for the different values of \( k \) might be helpful. Each value of \( k \) will slightly tilt the line \( x + ky = 1 \), and the point of intersection with the line \( x + y = 4 \) will give the solution for \( x \) and \( y \). This should be evident in the graphical plot showing the lines and their intersections for each given value of \( k \).

- For \( k = 0.99 \):
  - Equation 1: \( x + 0.99y = 1 \)
  - Equation 2: \( x + y = 4 \)

- For \( k = 0.99999 \):
  - Equation 1: \( x + 0.99999y = 1 \)
  - Equation 2: \( x + y = 4 \)

- For \( k = 1.01 \):
  - Equation 1: \( x + 1.01y = 1 \)
  - Equation 2: \( x + y = 4 \)

- For \( k = 1.00001 \):
  - Equation 1: \( x + 1.00001y = 1 \)
  - Equation 2: \( x + y = 4 \)

By solving these sets of equations, one can understand how slight variations in the parameter \( k \) affect the solutions of the system.
Transcribed Image Text:### Solving Linear Systems with NumPy #### Task Instructions **2. Solve Assignment 4.1 #2a.** **2. Consider the system of linear equations:** \[ x + ky = 1 \] \[ x + y = 4 \] where \( k \) is a constant. **a. Solve the system for \( k = 0.99 \), \( k = 0.99999 \), \( k = 1.01 \), and \( k = 1.00001 \).** To solve this system of linear equations, we will utilize the NumPy library in Python. By substituting the given values of \( k \), we will find the solutions for the variables \( x \) and \( y \). **Graphical Explanation (If required):** To provide a deeper understanding, a graphical representation of the equations and their solutions for the different values of \( k \) might be helpful. Each value of \( k \) will slightly tilt the line \( x + ky = 1 \), and the point of intersection with the line \( x + y = 4 \) will give the solution for \( x \) and \( y \). This should be evident in the graphical plot showing the lines and their intersections for each given value of \( k \). - For \( k = 0.99 \): - Equation 1: \( x + 0.99y = 1 \) - Equation 2: \( x + y = 4 \) - For \( k = 0.99999 \): - Equation 1: \( x + 0.99999y = 1 \) - Equation 2: \( x + y = 4 \) - For \( k = 1.01 \): - Equation 1: \( x + 1.01y = 1 \) - Equation 2: \( x + y = 4 \) - For \( k = 1.00001 \): - Equation 1: \( x + 1.00001y = 1 \) - Equation 2: \( x + y = 4 \) By solving these sets of equations, one can understand how slight variations in the parameter \( k \) affect the solutions of the system.
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