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Seminar
Speaker
Faizan Bhat (Indian Institute of Science, Bengaluru)
Date & Time
Wed, 06 November 2024, 15:30 to 17:00
Venue
Emmy Noether Seminar Room
Resources
Abstract

I will present a new approach to bootstrapping string-like theories using a one-parameter family of local, crossing symmetric dispersion relations and field-definition ambiguities. This enables us to use mass-level truncation and go beyond the dual resonance hypothesis. Remarkably, we find that imposing entanglement minimization along with some low-energy constraints leads to an excellent approximation to the superstring amplitudes. We also find other interesring S-matrices that do not obey the duality hypothesis, but exhibit a transition from Regge behaviour to power law behaviour at high energies. In addition to using SDPB to impose the unitarity constraints as is typical, we also impose non-linear constraints using a Physics-Informed Neural Network (PINN). This is the first bootstrap study that uses PINNs for non-linear, constrained optimization.

Based on: arXiv:2409.18259 [hep-th]

Zoom Link: https://icts-res-in.zoom.us/j/88092766911?pwd=R3ZrVk9yeW96ZmQ4ZG9KRzVhenRKZz09
Meeting ID: 880 9276 6911
Passcode: 232322