Consider the following optimization problem (P) min 21 s.t. x² + ax ≤1 1₂ ≤ 1 where a is a parameter (i.e., it is not a variable). Answer the following questions. 1. Obtain an optimal solution of (P) graphically when a = -1. 2. Obtain an optimal solution of (P) graphically when a = -1. Find all the values of a (if any) for which 3. (1,0) is a feasible solution to (P). 4. (0, 1) is a feasible solution to (P). 5. Problem (P) is unbounded. 6. Problem (P) is infeasible. 7. Problem (P) can be written as a linear optimization model. 8. Problem (P) has multiple optimal solutions.
Consider the following optimization problem (P) min 21 s.t. x² + ax ≤1 1₂ ≤ 1 where a is a parameter (i.e., it is not a variable). Answer the following questions. 1. Obtain an optimal solution of (P) graphically when a = -1. 2. Obtain an optimal solution of (P) graphically when a = -1. Find all the values of a (if any) for which 3. (1,0) is a feasible solution to (P). 4. (0, 1) is a feasible solution to (P). 5. Problem (P) is unbounded. 6. Problem (P) is infeasible. 7. Problem (P) can be written as a linear optimization model. 8. Problem (P) has multiple optimal solutions.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
Answer 4,5,6

Transcribed Image Text:Consider the following optimization problem
(P)
min x1
s.t. x² + ax ≤ 1
22 ≤1
where a is a parameter (i.e., it is not a variable).
Answer the following questions.
1. Obtain an optimal solution of (P) graphically when a = 1.
2. Obtain an optimal solution of (P) graphically when a = -1.
Find all the values of a (if any) for which
3. (1,0) is a feasible solution to (P).
4. (0,1) is a feasible solution to (P).
5. Problem (P) is unbounded.
6. Problem (P) is infeasible.
7. Problem (P) can be written as a linear optimization model.
8. Problem (P) has multiple optimal solutions.
Expert Solution

Step 1: Question 4
Introduction
We consider the optimization problem defined as:
where is a parameter. We aim to answer questions 4, 5, and 6 regarding the feasibility, boundedness, and infeasibility of the problem.
Analysis
Question 4: Feasibility of }
To check if is a feasible solution, we substitute these values into the constraints:
becomes
, which simplifies to
.
becomes
.
Both constraints are satisfied for any value of . Therefore, is a feasible solution for all .
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