Classification of Critical Hermitian Matrix Models

The critical properties of Hermitian matrix models in the one-arc phase may be simply understood and completely classified by the behavior of the eigenvalue distribution at its ends. The most general critical behavior involves two scaling functions naturally associated with each end of the distribution, and two KdV-type string equations with differing values of the critical index m. The critical conditions are shown to include previous discoveries as special cases.