9.2 Multi-class classication with kernel-based hypotheses constrained by an Lp norm. Use corollary 9.4 to dene alternative multi-class classication algorithms with kernel-based hypotheses constrained by an Lp norm with p 6= 2. For which value of p  1 is the bound of proposition 9.3 tightest? Derive the dual optimization of the multi-class classication algorithm dened with p = 1.