Consider what would happen if we applied a linear transformation to each data point x $-[$X$,.$xaas follows: x $4=$ asx,$+$ c awl x$,-02$X$24$ d$,$ where ag$,02,$ C$,$ and d are all real$-$valued constants. Assume that there exists a zero$-$error perceptron sorted for the original training set with parameters w $-[$wo$,$ W$1,$ W$2).$

i lise original data set is linearly separable with positive margin, is there always a set of parameters w $=($wo$,$ wizaW $2)$ for

a fero$-$error perceptron model on the transformed training set? Either derive the new parameter vector wIshowing your wart, or explain why no such parameters exist.