Consider the mapping H: R² – R* where H(x1, X2)=(X1, X2, 2x1, X1+X2). Prove that H is a linear transformation. (This is a projection into higher dimension. Vladimir Vapnik successfully used similar technique to develop support vector machine, as his significant contribution to machine learning.)

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Consider the mapping \( H : \mathbb{R}^2 \rightarrow \mathbb{R}^4 \) where \( H(x_1, x_2) = (x_1, x_2, 2x_1, x_1 + x_2) \). Prove that \( H \) is a linear transformation. *(This is a projection into higher dimension. Vladimir Vapnik successfully used similar technique to develop support vector machine, as his significant contribution to machine learning.)*
Transcribed Image Text:Consider the mapping \( H : \mathbb{R}^2 \rightarrow \mathbb{R}^4 \) where \( H(x_1, x_2) = (x_1, x_2, 2x_1, x_1 + x_2) \). Prove that \( H \) is a linear transformation. *(This is a projection into higher dimension. Vladimir Vapnik successfully used similar technique to develop support vector machine, as his significant contribution to machine learning.)*
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