Open Mapping and Closed Graph Theorems - Core Definitions
The Open Mapping Theorem and Closed Graph Theorem are among the most powerful tools in functional analysis, providing automatic continuity and surjectivity results for linear operators between Banach spaces.
Let and be topological spaces. A function is an open mapping if for every open set , the image is open in .
Equivalently, is open if it maps neighborhoods of points to neighborhoods of their images.
In general, continuous functions need not be open (consider from to ). However, for linear operators between Banach spaces, surjectivity and continuity together imply openness.
Let and be Banach spaces and a bounded linear operator. If is surjective, then is an open mapping.
This theorem is remarkable: the algebraic property (surjectivity) combined with continuity automatically implies the topological property (openness). No additional conditions are needed.
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Bounded Inverse: If is a bijective bounded linear operator between Banach spaces, then is automatically bounded
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Isomorphism: Bijective bounded linear operators between Banach spaces are isomorphisms (algebraic and topological)
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Automatic Continuity: Many "natural" operators are automatically continuous without explicit verification
Let and be normed spaces and a linear operator (not necessarily bounded). The graph of is
The operator is said to have a closed graph if is closed in (with the product topology).
Having a closed graph means: if in and in , then . This is a weaker condition than continuity.
Every bounded linear operator has a closed graph (by continuity). The Closed Graph Theorem provides a converse for operators between Banach spaces: a closed graph implies boundedness.
These theorems rely critically on the completeness of both spaces. They fail spectacularly for incomplete spaces, showing once again the fundamental importance of Banach spaces in functional analysis.