Worked solution: Huang's signed hypercube adjacency matrix proof of the sensitivity conjecture (2019)
Step 5 of 7: Combining the pieces: the main theorem falls out
In plain words
Now the three previous ingredients snap together. The matrix has as an eigenvalue with huge multiplicity ; interlacing says any large enough principal submatrix must inherit an eigenvalue at least that big; and the row-sum fact converts that eigenvalue back into a statement about the maximum degree of the actual graph .
Detailed analysis
Fix any induced subgraph of on a vertex set with , and let be the principal submatrix of obtained by keeping only the rows and columns indexed by . By Lemma 2.2 (Step 3), has as an eigenvalue of multiplicity , which exceeds ; applying Cauchy's interlacing theorem (Step 2) with therefore gives . Combining this with the row-sum lemma (Step 4) applied to yields -- exactly Huang's Theorem 1.1.