In Tensors, Abhay Singh moves beyond the coordinate-heavy catalog of notation to provide a rigorous "field guide" to tensor contracts. Whether you are an engineer, a physicist, or a data scientist, this book provides the "Anubhuti cycle"-a pedagogical framework designed to give you a felt sense of where tensor reasoning is a safe tool and where it is a dangerous
What you will learn:
The Tensor Contract: Understand the fundamental promise that an object remains invariant even as its representation changes.
Slot Inventory: Master the $(p, q)$ type signature to stop making "slot mistakes" like treating measurements (covectors) as states (vectors)
Real-World Diagnostics: Use a standardized failure taxonomy (P0-P7) to identify type mismatches, transport failures, and ill-conditioning in your models
Cross-Domain Transfer: See the same mathematical "moves" mirrored across Economics, Finance, Image Processing, and Physics
Each chapter includes Embodied Experiments-physical and operational drills designed to install directional intuition-and Falsification Tests to prove your claims wrong quickly
Whether you are auditing a covariance matrix, optimizing a supply chain, or building an image filter, Tensors provides the diagnostics and "contract language" you need to work with high-dimensional objects safely and effectively.