Resolving the two-dimensional axial next-nearest-neighbor Ising model using transfer matrices

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2021-03-25

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Abstract

Some features of the phase diagram of the two-dimensional axial next-nearest-neighbor Ising model have long been debated. The extended structural correlations and long relaxation times associated with its Kosterlitz-Thouless phase indeed result in analytical and numerical treatments making contradictory predictions. Here, we introduce a numerical transfer matrix approach that bypasses these problems and thus clears up various ambiguities. In particular, we confirm the transition temperatures and the order of the transition to the floating incommensurate phase. Our approach motivates considering transfer matrices for solving long-standing problems in related models.

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cond-mat.stat-mech, cond-mat.stat-mech, cond-mat.soft

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Published Version (Please cite this version)

10.1103/PhysRevB.103.094441

Publication Info

Hu, Y, and P Charbonneau (2021). Resolving the two-dimensional axial next-nearest-neighbor Ising model using transfer matrices. Physical Review B, 103(9). p. 094441. 10.1103/PhysRevB.103.094441 Retrieved from https://hdl.handle.net/10161/24984.

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Scholars@Duke

Charbonneau

Patrick Charbonneau

Professor of Physics

Patrick Charbonneau is Professor of Physics at Duke University. His research in soft matter and statistical physics uses theory and computer simulations to study glassy materials and frustrated systems. He also contributes to the history of science, curating projects on quantum and statistical physics as well as food history.


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