In this work, we reported some results about the stochastic quantization of the spherical model. We started by reviewing some basic aspects of this method with emphasis in the connection between the Langevin equation and the supersymmetric quantum mechanics, aiming at the application of the corresponding connection to the spherical model. An intuitive idea is that when applied to the spherical model this gives rise to a supersymmetric version that is identified with one studied in Phys. Rev. E 85, 061109, (2012). Before investigating in detail this aspect, we studied the stochastic quantization of the mean spherical model that is simpler to implement than the one with the strict constraint. We also highlight some points concerning more trad...
We construct Nicolai maps for $N=2$ supersymmetric extensions of minisuperspace models. It is shown ...
Na presente dissertação fazemos um resumo das idéias fundamentais do método de Quantização Estocásti...
A statistical model M is a family of probability distributions, characterised by a set of continuous...
In this work, we reported some results about the stochastic quantization of the spherical model. We ...
We show that ungauged N = 2 supersymetric models can be put on the (hamiltonian) lattice in such a w...
Using the Ward-Takahashi identities from the hidden supersymmetry in Langevin equation we present a ...
We establish a novel correspondence between the spacetime correlators of onedimensional (1D) N-parti...
We study the properties of supersymmetric models having a local Nicolai mapping. In these cases the ...
In the method of stochastic quantization proposed by Parisi and Wu, the Langevin equation is set by ...
We embed Nelson’s theory of stochastic quantization in the Schwartz-Meyer second order geometry fram...
The gauge fixing procedure for N = 1 supersymmetric Yang-Mills theory (SYM) is proposed in the conte...
In this work, we present a supersymmetric extension of the quantum spherical model, both in componen...
We consider two strategies for stochastic quantization. With the first, one posits an additional tim...
We review some stochastic geometric models that arise from the study of certain quantum spin systems...
Blanchard P, POTTHOFF J, SENEOR R. ON STOCHASTIC QUANTIZATION OF EUCLIDEAN QUANTUM-FIELD THEORIES. S...
We construct Nicolai maps for $N=2$ supersymmetric extensions of minisuperspace models. It is shown ...
Na presente dissertação fazemos um resumo das idéias fundamentais do método de Quantização Estocásti...
A statistical model M is a family of probability distributions, characterised by a set of continuous...
In this work, we reported some results about the stochastic quantization of the spherical model. We ...
We show that ungauged N = 2 supersymetric models can be put on the (hamiltonian) lattice in such a w...
Using the Ward-Takahashi identities from the hidden supersymmetry in Langevin equation we present a ...
We establish a novel correspondence between the spacetime correlators of onedimensional (1D) N-parti...
We study the properties of supersymmetric models having a local Nicolai mapping. In these cases the ...
In the method of stochastic quantization proposed by Parisi and Wu, the Langevin equation is set by ...
We embed Nelson’s theory of stochastic quantization in the Schwartz-Meyer second order geometry fram...
The gauge fixing procedure for N = 1 supersymmetric Yang-Mills theory (SYM) is proposed in the conte...
In this work, we present a supersymmetric extension of the quantum spherical model, both in componen...
We consider two strategies for stochastic quantization. With the first, one posits an additional tim...
We review some stochastic geometric models that arise from the study of certain quantum spin systems...
Blanchard P, POTTHOFF J, SENEOR R. ON STOCHASTIC QUANTIZATION OF EUCLIDEAN QUANTUM-FIELD THEORIES. S...
We construct Nicolai maps for $N=2$ supersymmetric extensions of minisuperspace models. It is shown ...
Na presente dissertação fazemos um resumo das idéias fundamentais do método de Quantização Estocásti...
A statistical model M is a family of probability distributions, characterised by a set of continuous...