On the Lower Semicontinuity of Parametric Optimization
When studying optimization problems with parameter-dependent feasible sets, a key technical step is showing that the value function behaves nicely — for example, that it is lower semicontinuous. In this post, we’ll prove such a property for a simple but fundamental setting.
Setting
Let’s assume the following:
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is compact.
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are continuous functions.
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For each real number , define the feasible set
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Define the value function
 
We first verify that the minimum value defining  is well-defined.  Indeed, since  is compact, it is also closed. The feasible set
is the intersection of two closed sets, and hence itself closed. As a closed subset of the compact set ,  is compact. Therefore,  represents the minimum of a continuous function over a compact set, and the minimum is attained whenever .
In the following, our goal is to show that  is lower semicontinuous.
Because  will turn out to be nonincreasing, lower semicontinuity is equivalent to right-continuity at every feasible .
Step 1. is nonincreasing
If , then .
Therefore,
so is nonincreasing.
Step 2. Right continuity at
Assume .
Take any sequence  (that is,  and ).
Since for all , and each is compact, there exists such that
Because  is compact, the sequence  has a convergent subsequence .
By continuity of ,
so .
By continuity of ,
Since this holds for every subsequence, we have
Because the sequence was arbitrary, we obtain
which means is right-continuous at .
Conclusion
Since is nonincreasing, right-continuity is equivalent to lower semicontinuity. Therefore, for all such that ,
is lower semicontinuous.
Further Notes
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The same reasoning still works if is only lower semicontinuous, by using instead of full continuity.
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For upper semicontinuity or full continuity of , one can invoke Berge’s Maximum Theorem, which provides conditions involving closed graphs and semicontinuity of the feasible set mapping.