Distributional Theory and Statistical Inference for Linear Functions of Eigenvectors with Small Eigengaps (with a Focus on Matrix Denoising and Principal Component Analysis)

This research paper presents a novel analysis of the statistical properties of linear functions of eigenvectors, particularly in scenarios with small eigengaps, focusing on matrix denoising and principal component analysis.