This work extends the framework of mode-based analysis to variational calculus, differential geometry, and categorical structures. In this approach, convergence modes are treated as primary objects encoding operational procedures such as discretization, ordering of increments, scaling, and regularization. Analytical structures are then defined through stability with respect to classes of admissible modes. Within this framework:- variational principles become mode-dependent,- derivatives and gradients are defined via mode-stable limits,- metric and measure structures arise from admissible approximations,- geometric structures (tangent cones, differentials, curvature) depend on the mode class,- solution spaces and differentials admit a categorical organization. In addition to the structural formulation, the paper establishes several concrete results demonstrating that mode-dependence leads to genuinely different analytical behavior. In particular:- mode-dependent variational problems may admit minimizers that differ from classical ones,- mode gradients may differ from classical gradients even for smooth functionals,- mode-dependent gradient flows may exhibit asymptotic behavior not captured by classical dynamics. The mode differential is shown to be interpretable as a restriction of the classical differential to admissible tangent cones, providing a geometric bridge between mode-based and classical analysis. A fully explicit example demonstrating non-equivalence of gradient flows is provided in a standard Sobolev setting. The results suggest that mode-based analysis provides a unified framework in which analysis, geometry, and dynamics are governed by stability with respect to operational procedures, rather than by fixed background constructions. This work constitutes Part II of the Mode-Based Analysis program.
Alexey A. Nekludoff (Wed,) studied this question.