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Résumé |
The bootstrap method offers a powerful framework for solving theoretical models by
systematically solving the optimization problem from the constraints imposed by
kinematic and dynamic equalities and inequalities. This approach has demonstrated
remarkable efficacy in tackling matrix quantum mechanics, especially in the large
N limit and in scenarios complicated by sign problems. In this presentation, we
review the application of the bootstrap method across diverse models, with a
particular emphasis on its implementation in the BFSS model, highlighting its
potential to address longstanding challenges in this context. |
