Key research themes
1. How do algebraic invariants derived from differential topology and homotopy theory characterize smooth manifolds and their differentiable structures?
This research area focuses on the extraction and computation of algebraic invariants such as homotopy groups, homology groups, cohomology rings, and stable spans, which serve as tools to classify and distinguish differentiable manifolds up to homeomorphism or differentiable equivalence. These invariants also highlight the relationship between vector fields and line fields on manifolds, thereby connecting differential topology and algebraic topology. Studying these invariants helps in understanding manifold structures, possible vector or line field decompositions, and their implications for both pure mathematical theory and applied fields like physics.
2. What role does the heat equation play in revealing minimal Morse functions and related differential topological structures on smooth manifolds?
This theme explores how solutions to the heat equation on homogeneous Riemannian manifolds evolve over time to generic minimal Morse functions, which realize the smallest possible number of critical points. By analyzing the interaction of partial differential equations and differential topology, particularly on flat tori and spheres, researchers investigate the heat flow as a natural tool for smoothing functions and discovering essential topological invariants, connecting analytic methods with critical point theory in manifold studies.
3. How can advanced topological and differential geometric concepts enhance computational topology and its applications in analyzing complex geometric structures?
This research area investigates integrating differential topology concepts with computational methods to analyze, represent, and manipulate geometric objects algorithmically. It addresses the development of computational frameworks that incorporate singularity, stratification theory, obstruction theory, and algebraic topology to resolve issues such as triangulation, topological consistency, and managing complexity in computer-generated models. The focus lies in providing algorithmically effective tools for verifying topological equivalences, supporting applications ranging from virtual reality to biomaterials modeling.