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Published on: September 5, 2019
Entanglement entropy of electromagnetic edge modes.
William Donnelly1, Aron C Wall2
1Department of Physics, University of California Santa Barbara, Santa Barbara, California 93106, USA.
Researchers solved a long-standing puzzle in Maxwell theory by identifying the source of unexpected vacuum entanglement entropy. This entropy arises from edge modes, clarifying its statistical interpretation and resolving issues with gauge field divergences.
Area of Science:
- Theoretical Physics
- Quantum Field Theory
- Entanglement Entropy
Background:
- Standard calculations of vacuum entanglement entropy in Maxwell theory yield an unexplained term.
- This anomaly has persisted for two decades without a clear statistical interpretation.
- Recent studies highlighted logarithmic divergences in gauge fields, adding to the puzzle.
Purpose of the Study:
- To resolve the two-decade-old puzzle of the unexpected term in Maxwell theory's vacuum entanglement entropy.
- To provide a statistical interpretation for this anomalous term.
- To explain logarithmic divergences observed in gauge fields.
Main Methods:
- Identifying the anomalous term as the entanglement entropy of edge modes.
- Characterizing edge modes as classical solutions dictated by the electric field normal to the entangling surface.
- Applying heat kernel regularization to the entanglement entropy of edge modes.
Main Results:
- The unexpected term in vacuum entanglement entropy is attributed to the entanglement entropy of edge modes.
- Heat kernel regularization of this edge mode entropy reproduces Kabat's negative divergent expression.
- The calculation resolves puzzles related to logarithmic divergences in 3+1 dimensional gauge fields.
Conclusions:
- The statistical interpretation of vacuum entanglement entropy in Maxwell theory is now understood through edge modes.
- This work clarifies fundamental aspects of entanglement entropy in gauge theories.
- The findings have implications for understanding quantum field theory divergences and entropy calculations.
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