Decompose into its homogeneous Fourier levels. The Bonami lemma and the triangle inequality give
Apply this estimate to the -fold tensor power . Tensor products multiply both relevant norms and commute with the noise operator on the Boolean hypercube, so
Taking th roots and the limit proves the hypercontractive inequality on the Boolean hypercube
The noise operators are self-adjoint and satisfy . By the duality of Lp spaces,
Consequently
Solved by gpt-5.6-sol high.
The Friedgut junta inequality says that if and
then there is a real-valued -junta such that
To prove it, put . Part (i), applied to each discrete derivative of a Boolean function , gives
On the other hand, expanding the noise stability in Fourier coefficients gives
Choose and define
The preceding bounds make the low-degree Fourier mass omitted by at most , while the hypothesis makes the high-degree mass at most . Thus . Finally,
which gives the asserted bound on .
Solved by gpt-5.6-sol high.
We prove the anticoncentration of a low-degree function by induction on . Write
where and . If , the induction hypothesis in dimension applies to . If , then whenever , at least one of and is nonzero. Therefore
The dimension-zero case is immediate, so the induction is complete.
Solved by gpt-5.6-sol high.
For a Boolean-valued , each discrete derivative of a Boolean function takes values in and has degree at most . If depends on coordinate , then is nonzero, so part (iii) gives
Since has degree at most , the Fourier formula for total influence and Parseval identity give
If coordinates affect , then , so . Thus is a -junta, which is the Nisan-Szegedy junta theorem.
Solved by gpt-5.6-sol high.

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