On the large N limit of matrix integrals over the orthogonal group
arXiv:0805.0315 · doi:10.1088/1751-8113/41/38/382001
Abstract
We reexamine the large N limit of matrix integrals over the orthogonal group O(N) and their relation with those pertaining to the unitary group U(N). We prove that lim_{N to infty} N^{-2} \int DO exp N tr JO is half the corresponding function in U(N), and a similar relation for lim_{N to infty} \int DO exp N tr(A O B O^t), for A and B both symmetric or both skew symmetric.
arXiv comment12 pages
References in corpus (9)
- Random Matrix Theories in Quantum Physics: Common Concepts
- 2D Gravity and Random Matrices
- Integration with respect to the Haar measure on unitary, orthogonal and symplectic group
- Replica Field Theory for Deterministic Models (II): A Non-Random Spin Glass with Glassy Behavior
- On the Large N Limit of the Itzykson-Zuber Integral
- On some integrals over the U(N) unitary group and their large N limit
- Correlation Functions of Harish-Chandra Integrals over the Orthogonal and the Symplectic Groups
- The role of the interaction matrix in mean-field spin glasses
- An extension of the HarishChandra-Itzykson-Zuber integral
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