gjones89
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Hi everyone,
I am working on a problem in Operations Research but I need to prove a property related to compactness of a set. Although I expect it is quite elementary, I have never studied Analysis at an advanced level so am not sure how to do it.
I have an optimisation problem in which a feasible solution may be expressed as a set of real numbers \{\lambda_1,\lambda_2,...,\lambda_n\} which satisfies the following constraints:
\sum\limits_{i=1}^n \lambda_i\leq \lambda (here \lambda is a positive real number),
\lambda_i\geq 0 for all i\in\{1,2,...,N\}.
The problem is I need to prove that the set of feasible solutions satisfying the above constraints is a compact set (closed and bounded), because this will enable me to prove that an optimal solution exists to the optimisation problem I am working on. I am sure this is probably quite standard and perhaps someone might be able to point me towards a theorem somewhere which will give me what I need, or just provide an outline of the proof if it is simple.
Thanks a lot!
I am working on a problem in Operations Research but I need to prove a property related to compactness of a set. Although I expect it is quite elementary, I have never studied Analysis at an advanced level so am not sure how to do it.
I have an optimisation problem in which a feasible solution may be expressed as a set of real numbers \{\lambda_1,\lambda_2,...,\lambda_n\} which satisfies the following constraints:
\sum\limits_{i=1}^n \lambda_i\leq \lambda (here \lambda is a positive real number),
\lambda_i\geq 0 for all i\in\{1,2,...,N\}.
The problem is I need to prove that the set of feasible solutions satisfying the above constraints is a compact set (closed and bounded), because this will enable me to prove that an optimal solution exists to the optimisation problem I am working on. I am sure this is probably quite standard and perhaps someone might be able to point me towards a theorem somewhere which will give me what I need, or just provide an outline of the proof if it is simple.
Thanks a lot!