Spectral decomposition is a mathematical technique used to express a linear operator as a sum of its eigenvalues and the associated projection operators. This method reveals crucial information about the operator's structure, allowing us to understand its behavior, especially in quantum mechanics where observables are represented as Hermitian operators. By breaking down an operator into its spectral components, we can gain insight into the physical systems it describes and the measurements we can perform on them.
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