Viscous Time Theory as a Variational Source Geometry

Authors

  • Payam Danesh Department of Biosystems Engineering, Faculty of Agricultural Science, University of Tehran, Tehran, Iran
  • Raoul Bianchetti Information Physics Institute, Gosport, Hampshire, United Kingdom, www.informationphysicsinstitute.org

DOI:

https://doi.org/10.59973/ipil.377

Keywords:

Viscous Time Theory, Anchored Variational Problems, Hessian Softening, Soft Modes, Tensor Projection, Metric-Type Geometry, Effective Mass Functional, Inverse Design

Abstract

In this paper, we formulated a source layer for Viscous Time Theory (VTT) inside a regularized anchored variational model. Finite anchors are represented by mollified averaging functionals on a bounded Lipschitz domain, so the field problem remains compatible with weak convergence. The passive Hessian of the anchored action is coercive; therefore, source criticality is introduced through an active Hessian obtained by memory-feedback loading. When the active Hessian develops an isolated soft sector, scalar soft modes are lifted to symmetric tensor modes, and the memory-friction tensor is projected onto this tensorial soft space. A resolvent-weighted response defines the VTT source tensor, with an additional coherence-shear contribution. Under an explicit operator-norm bound, the tensor induces a positive definite metric-type tensor
relative to a reference metric. With sufficient regularity, the metric determines a curvature response, and a model-internal effective mass functional is defined as the positive metric trace of the source tensor. The paper proves well-posedness, tensor birth, metric positivity, mass positivity, stability, inverse-design existence, and finite-difference diagnostic criteria. The result is not a derivation of physical spacetime, but a rigorous variational-to-geometric mechanism for conditional source formation.

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Published

2026-07-07

How to Cite

Danesh, P., & Bianchetti, R. (2026). Viscous Time Theory as a Variational Source Geometry. IPI Letters, 4(3), 26–41. https://doi.org/10.59973/ipil.377

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