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Matrix Models and Matrix Integrals

Matrix Models and Matrix Integrals . A.Mironov Lebedev Physical Institute and ITEP. New structures associated with matrix integrals mostly inspired by studies in low-energy SUSY Gauge theories ( F. Cachazo, K. Intrilligator, C.Vafa; R.Dijkgraaf, C.Vafa )

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Matrix Models and Matrix Integrals

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  1. Matrix Modelsand Matrix Integrals A.Mironov Lebedev Physical Institute and ITEP

  2. New structures associated with matrix integrals mostly inspired by studies in low-energy SUSY Gauge theories (F. Cachazo, K. Intrilligator, C.Vafa; R.Dijkgraaf, C.Vafa) low-energy effective action in N=2 SUSY gauge theory Prepotential massless BPS-states Superpotential in minima in N=1 SUSY gauge theory

  3. Standard dealing with matrix models • Dijkgraaf – Vafa (DV)construction (G.Bonnet, F.David, B.Eynard, 2000) • Virasoro constraints (=loop equations, =Schwinger-Dyson equations, =Ward identities) • Matrix models as solutions to the Virasoro constraints (D-module) • What distinguishes the DVconstruction. On Whitham hierarchies and all that

  4. Hermitean 1-matrix integral: W(l) is a polynomial 1/N – expansion (saddle point equation):

  5. Constraints:

  6. Solution to the saddle point equation: 1 2 A B

  7. DV – construction An additional constraint: Ci = constin the saddle point equation Therefore, Ni (or fn-1)are fixed Interpretation (F.David,1992): C1 = C2 = C3 - equal “levels” due to tunneling = 0 - further minimization in the saddle point approximation

  8. Let Ni be the parameters! It can be done either by introducing chemical potential or by removing tunneling (G.Bonnet, F.David, B.Eynard) i.e.

  9. Virasoro & loop equations A systematic way to construct these expansions (including higher order corrections) is Virasoro (loop) equations Change of variables in leads to the Ward identities: - Virasoro (Borel sub-) algebra

  10. We define the matrix model as any solution to the Virasoro constraints (i.e. as a D-module). DV construction is a particular case of this general approach, when there exists multi-matrix representation for the solution. PROBLEMS: 1) How many solutions do the Virasoro constraints have? 2) What is role of the DV - solutions? 3) When do there exist integral (matrix) representations?

  11. The problem number zero: How is the matrix model integral defined at all? It is a formal series in positive degrees of tk and we are going to solve Virasoro constraints iteratively. tk have dimensions (grade): [tk]=k (from Ln or matrix integral) ck... dimensionful all ck... = 0

  12. The Bonnet - David - Eynard matrix representation for the DV construction is obtained by shifting or ThenW (orTk) can appear in the denominators of the formal series intk We then solve the Virasoro constraints with the additional requirement

  13. Example 1 and The only solution to the Virasoro constraints is the Gaussian model: the integral is treated as the perturbation expansion intk - Example 2 and One of many solutions is the Bonnet - David - Eynard n-parametric construction Nican be taken non-integer in the perturbative expansion

  14. Where . Note that We again shift the couplings and consider Z as a power series in tk’s but not in Tk’s: i.e. one calculates the moments

  15. Example: Cubic potential at zero couplings gives the Airy equation Solution: Two solutions = two basic contours. Contour: the integrand vanishes at its ends to guarantee Virasoro constraints! The contour should go to infinity where

  16. One possible choice: (the standard Airy function) Another choice:

  17. Asymptotic expansion of the integral Saddle point equation has two solutions: Generally W‘(x) = 0 has n solutions n-1 solutions have smooth limit Tn+1 0

  18. Cubic example:

  19. Toy matrix model are arbitrary coefficients counterpart of Fourier exponentials counterpart of Fourier coefficients

  20. General solution (A.Alexandrov, A.M., A.Morozov) At any order in 1/NthesolutionZ of the Virasoro equations is uniquely defined by an arbitrary function of n-1 variables (n+2 variablesTkenter through n-1 fixed combinations) E.g. In the curve

  21. Claim whereUwis an (infinite degree) differential operator inTk that does not depend of the choice of arbitrary function (T) Therefore: some proper basis DV construction provides us with a possible basis:

  22. DV basis: 1) Ni = const, i.e. This fixesfnuniquely. 2) (More important) adding more timesTkdoes not change analytic structures (e.g. the singularities of should be at the same branching points which, however, begin to depend onTk ) Constant monodromies Whitham system In planar limit: This concrete Virasoro solution describes Whitham hierarchy (L.Chekhov, A.M.) andlog Zis itst-function. It satisfies Witten-Dijkgraaf-Verlinde-Verlinde equations (L.Chekhov, A.Marshakov, A.M., D.Vasiliev)

  23. Invariant description of the DV basis: - monodromies of minima of W(x) can be diagonalized DV – basis: eigenvectors of (similarly to the condition )

  24. Seiberg – Witten – Whitham system Operator relation (not proved) : Conditions: blowing up to cuts on the complex plane Therefore, in the basis of eigenvectors, can be realized as Seiberg - Witten - - Whitham system

  25. Conclusion • The Hermitean one-matrix integral is well-defined by fixing an arbitrary polynomial Wn+1(x). • The corresponding Virasoro constraints have many solutions parameterized by an arbitrary function of n-1 variables. • The DV - Bonnet - David - Eynard solution gives rise to a basis in the space of all solutions to the Virasoro constraints. • This basis is distinguished by its property of preserving monodromies, which implies the Whitham hierarchy. The t-function of this hierarchy is associated with logarithm of the matrix model partition function.

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