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- Dictionaryperturbation/ˌpəːtəˈbeɪʃn/
noun
- 1. anxiety; mental uneasiness: "she sensed her friend's perturbation"
- 2. a deviation of a system, moving object, or process from its regular or normal state or path, caused by an outside influence: "these shifts and swings in wildlife populations are possibly related to climatic perturbations"
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3 days ago · In quantum mechanics, perturbation theory is a set of approximation schemes directly related to mathematical perturbation for describing a complicated quantum system in terms of a simpler one.
Jul 1, 2024 · Perturbation Theory -- from Wolfram MathWorld. Calculus and Analysis. Differential Equations.
Jul 8, 2024 · A Feynman diagram represents a perturbative contribution to the amplitude of a quantum transition from some initial quantum state to some final quantum state. For example, in the process of electron-positron annihilation the initial state is one electron and one positron, the final state: two photons.
3 days ago · The interaction of strings is most straightforwardly defined by generalizing the perturbation theory used in ordinary quantum field theory. At the level of Feynman diagrams, this means replacing the one-dimensional diagram representing the path of a point particle by a two-dimensional (2D) surface representing the motion of a string. [15]
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Jun 23, 2024 · In mathematics, physics, and chemistry, perturbation theory comprises mathematical methods for finding an approximate solution to a problem, by starting from the exact solution of a related, simpler problem. A critical feature of the technique is a middle step that breaks the problem into "solvable" and "perturbative" parts.
Jul 8, 2024 · On the other hand, it is well known that perturbations of a black hole spacetime can be investigated by considering relativistic particles evolving in the corresponding manifold. That is why in the second part of the paper, we discuss the Klein–Gordon equation for charged particles moving in the background of a GMGHS black hole.
Jul 2, 2024 · It involves perturbing a unit of a DNN during training on behavioural data obtained after a corresponding neuron has also been perturbed in an animal. This constrains the model so that the unit...
