Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN: 9780079039897
Author: Carter
Publisher: McGraw Hill
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Calculate the expected payoff of the game with the given payoff matrix using the mixed strategies supplied.



**Title:** Calculating the Expected Payoff using a Payoff Matrix and Mixed Strategies

**Objective:** Learn how to calculate the expected payoff of a game using a given payoff matrix alongside mixed strategies.

**Payoff Matrix (P):**

\[
P = \begin{bmatrix} 
2 & 0 & -1 & 2 \\ 
-1 & 0 & 0 & -2 \\ 
-2 & 0 & 0 & 1 \\ 
3 & 1 & -1 & 1 
\end{bmatrix}
\]

**Mixed Strategies Provided:**

- Row player's strategy: \( R = [0, 0.5, 0, 0.5] \)
- Column player's strategy: \( C = \begin{bmatrix} 0.5 \\ 0.5 \\ 0 \\ 0 \end{bmatrix} \)

**Instructions:**

1. **Understanding the Matrix:** Each element in the payoff matrix represents the payoff from the row player's perspective for each combination of strategies by the row and column players.

2. **Calculate the Expected Payoff:** Use the formula for the expected payoff involving matrix multiplication. Multiply the row player's strategy vector \( R \) by the payoff matrix \( P \), and then by the column player's strategy vector \( C \).

3. **Application:** This calculation helps in determining the average outcome both players can expect if they adhere to their provided mixed strategies.

**Details:**

The expression to compute the expected payoff \( E \) is:

\[
E = R \times P \times C
\]

Perform matrix multiplication to determine \( E \).

**Conclusion:** By following these steps, you can determine the expected payoff when two players engage in a strategic game using mixed strategies. This understanding is crucial for strategic decision-making in competitive environments.
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Transcribed Image Text:**Title:** Calculating the Expected Payoff using a Payoff Matrix and Mixed Strategies **Objective:** Learn how to calculate the expected payoff of a game using a given payoff matrix alongside mixed strategies. **Payoff Matrix (P):** \[ P = \begin{bmatrix} 2 & 0 & -1 & 2 \\ -1 & 0 & 0 & -2 \\ -2 & 0 & 0 & 1 \\ 3 & 1 & -1 & 1 \end{bmatrix} \] **Mixed Strategies Provided:** - Row player's strategy: \( R = [0, 0.5, 0, 0.5] \) - Column player's strategy: \( C = \begin{bmatrix} 0.5 \\ 0.5 \\ 0 \\ 0 \end{bmatrix} \) **Instructions:** 1. **Understanding the Matrix:** Each element in the payoff matrix represents the payoff from the row player's perspective for each combination of strategies by the row and column players. 2. **Calculate the Expected Payoff:** Use the formula for the expected payoff involving matrix multiplication. Multiply the row player's strategy vector \( R \) by the payoff matrix \( P \), and then by the column player's strategy vector \( C \). 3. **Application:** This calculation helps in determining the average outcome both players can expect if they adhere to their provided mixed strategies. **Details:** The expression to compute the expected payoff \( E \) is: \[ E = R \times P \times C \] Perform matrix multiplication to determine \( E \). **Conclusion:** By following these steps, you can determine the expected payoff when two players engage in a strategic game using mixed strategies. This understanding is crucial for strategic decision-making in competitive environments.
Expert Solution
Check Mark
Step 1

Given,

P = 20-12-100-2-200131-11

R = 00.500.5

C = 0.50.500T

 

We have to calculate the expected payoff of the game with the given above payoff matrix using the mixed strategies supplied.

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