Ⓑ Optimization
§1. Optimization problems¶
§2. Existence of solutions¶
§3. Unconstrained optimization¶
§4. Equality constraints¶
§5. Inequality constraints¶
§6. Parametric continuity¶
Let \(\Theta\) and \(X\) be two nonempty metric spaces, \(\Gamma\colon \Theta \rightrightarrows X\) a continuous and compact-valued correspondence, and \(f\colon X\times \Theta \to \mathbb{R}\) a real-valued function that is continuous with respect to the product metric \(d((x_1, \theta_1),(x_2, \theta_2)):= d_{X}(x_1, x_2) + d_{\Theta}(\theta_1, \theta_2)\).
Now, consider the optimization problem \(\max_{x\in \Gamma(\theta)} f(x, \theta).\) Define the set-valued solution function \(\sigma\colon \Theta \to 2^{X}\) and the value function \(F\colon \Theta \to \mathbb{R} \cup \{+\infty\}\) as follows:
Then, the following are true:
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\(\sigma(\theta)\) is an upper hemicontinuous and compact-valued correspondence.
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\(F(\theta)\) is a continuous real-valued function.
§7. Comparative statics¶
Implicit function theorem¶
Topkis's theorem¶
References¶
TBD