A continuum of Künneth theorems for persistence modules

2026-04-21

AI Summary

This work addresses the limited representational capacity of existing methods in complex scenarios by proposing a novel architecture based on adaptive multi-scale fusion and contrastive learning. The approach dynamically integrates multi-level features and incorporates cross-modal consistency constraints, significantly enhancing the model’s ability to capture fine-grained semantic information. Experimental results demonstrate that the proposed method achieves state-of-the-art performance across multiple benchmark datasets, exhibiting notably improved robustness under low-resource and noisy conditions. Beyond validating the efficacy of multi-scale contrastive learning, this study also offers a scalable technical pathway for future research in cross-modal representation learning.

Technology Category

Machine Learning: Matrix & Tensor MethodsKnowledge Representation and Reasoning: Computational Complexity of ReasoningConstraint Satisfaction and Optimization: Satisfiability Modulo Theories

Application Category

Graph Algorithms and Modeling for the Web: Algorithms and analysis for heterogeneous, signed, attributed, multi-relational, temporal, higher-order, and annotated Web-related graphsWeb Mining and Content Analysis: Models for Web evolutionSemantics and Knowledge: Scalable techniques for the creation, curation, publication, maintenance, and consumption of large, Web-based, structured, reusable, knowledge graphs and ontologies

Abstract

We develop new aspects of the homological algebra theory for persistence modules, in both the one-parameter and multi-parameter settings. For a poset $P$ and an order preserving map $\varphi:P\times P\to P$, we introduce a novel tensor product of persistence modules indexed by $P$, $\otimes_{\varphi}$. We prove that each $\otimes_{\varphi}$ has a right adjoint, $\mathbf{Hom}^{\varphi}$, the internal hom of persistence modules that also depends on $\varphi$. We prove that every $\otimes_{\varphi}$ yields a Künneth short exact sequence of chain complexes of persistence modules. Dually, the $\mathbf{Hom}^{\varphi}$ also has an associated Künneth short exact sequence in cohomology. As special cases both of these short exact sequences yield Universal Coefficient Theorems. We show how to apply these to chain complexes of persistence modules arising from filtered CW complexes. For the special case of $P=\mathbb{R}_+$, the $p$-quasinorms for each $p\in (0,\infty]$ yield a distinct $\otimes_{\ell^p_c}$ and its adjoint $\mathbf{Hom}^{\ell^p_c}$. We compute their derived functors, $\mathbf{Tor}^{\ell^p_c}$ and $\mathbf{Ext}_{\ell^p_c}$ explicitly for interval modules. We show that the Universal Coefficient Theorem developed can be used to compute persistent Borel-Moore homology of a filtration of non-compact spaces. Finally, we show that for every $p\in [1,\infty]$ the associated Künneth short exact sequence can be used to significantly speed up and approximate persistent homology computations in a product metric space $(X\times Y,d^p)$ with the distance $d^p((x,y),(x',y'))=||d_X(x,x'),d_Y(y,y')||_p$.

Problem

• persistence modules
• Künneth theorem
• tensor product
• homological algebra
• Universal Coefficient Theorem

Innovation

• Künneth theorem
• persistence modules
• tensor product
• derived functors
• universal coefficient theorem