Donsker's invariance principle

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Donsker's invariance principle is a fundamental result in probability theory stating that suitably normalized random walks converge in distribution to Brownian motion, providing a functional central limit theorem.

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Khinchin's law of the iterated logarithm isRelatedTo Donsker's invariance principle