Introduction to Analysis on the Discrete Cube I
summary
Defines the discrete cube {-1,1}^n with normalized counting measure, L^p norms and Hamming distance, then builds the Walsh functions as an orthonormal basis of size 2^n and gives the Walsh–Fourier expansion with Plancherel. Shows Walsh functions are eigenfunctions of the simple neighbor-averaging operator with eigenvalue 1-2|S|/n, derives lazy-walk eigenvalue 1-λ+λ(1-2|S|/n), and explains the fast Walsh transform by splitting the cube into two (add/subtract, divide by 2) to cut naive quadratic work to O(n2^n). Presents continuous-time construction and the resulting Markov semigroup and explicit transition formulas.
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chapters (15)
- 0:00Start
- 0:13Disclaimer
- 1:15Discrete cube
- 4:182 structure
- 6:24Walsh system
- 16:59Elementary argument
- 19:24Simple consequences of the orthonormality
- 22:08LCA setting
- 30:20Computing the Walsh-Fourier transform
- 38:23Discrete time random walk
- 41:43Discrete time walk - spectral properties
- 45:50Discrete time walk - estimates
- 48:17Discrete random walk- ergodicity
- 54:06Lazy random walk- ergodicity
- 57:34Lazy walk - limit behaviour
