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October 3, 2025Open Access

On numerical invariants of retraction map

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This analysis explores how retraction maps affect numerical invariants in topological spaces, indicating potential stability in their inequalities.

Retraction maps maintain inequalities among numerical invariants, leading to significant insights on their relationships.
Key numerical invariants include cohomological dimensions and categories like the Lusternik-Schnirelmann category.
Analyses reveal that numerical invariants retain their behaviors under retraction maps in continuous topological frameworks.
The findings extend to recent invariants defined by noted researchers, highlighting broader applications in topology.

Nursultan Kuanyshov (2025) studied this question.

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October 3, 2025Open Access

View Full Paper

Ask AI

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Authors

This analysis explores how retraction maps affect numerical invariants in topological spaces, indicating potential stability in their inequalities.

Retraction maps maintain inequalities among numerical invariants, leading to significant insights on their relationships.
Key numerical invariants include cohomological dimensions and categories like the Lusternik-Schnirelmann category.
Analyses reveal that numerical invariants retain their behaviors under retraction maps in continuous topological frameworks.
The findings extend to recent invariants defined by noted researchers, highlighting broader applications in topology.

Nursultan Kuanyshov (2025) studied this question.

View Full Paper

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