3. Hard versus soft SVM: Prove or refute the following claim: There exists >0 such that for every sample S of m > 1 examples, which is separable by the class of homogenous halfspaces, the hard-SVM and the soft-SVM (with parameter \) learning rules return exactly the same weight vector.