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Jun 26 at 19:42 comment added Ted Black $\hat\alpha_i <C$ is a deduction from (12.15) and (12.12). $\mu_i$ is a slack variable; you can see that since none of the derivatives (12.10), (12.11) and (12.12) are partial derivatives w.r.t. $\mu_i$.
Jun 26 at 19:39 comment added hasanghaforian @TedBlack So, I think that you are agree that $\hat\alpha_i < C$ is not a deduction. Although as I know $ξ_i$ is the slack variable and $\mu_i$ is one of Lagrangian multipliers.
Jun 26 at 19:26 comment added Ted Black $\mu_i$ is a slack variable which hopefully has a positive value that forces $\xi_i$ to be optimised (to minimize the objective we would like $\xi_i \geq 0$).
Jun 26 at 18:33 history edited hasanghaforian CC BY-SA 4.0
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Jun 26 at 18:22 comment added hasanghaforian @TedBlack Thank you for your reply. But I said I think both $\mu_i$ and $ξ_i$ may be zero at the same time. Are not you agree with me?
Jun 25 at 17:17 comment added Ted Black Since one of the constraints is $\mu_i \xi_i=0$, if we are on the edge of the margin $\xi_i=0$ and so $\mu_i >0$. Since $\alpha_i = C - \mu_i$, $\alpha_i < C$. From the positivity constraints $\alpha_i, \mu_i, \xi_i \geq 0 \; \forall i$, since in this case $\alpha_i \neq 0$, we get $\alpha_i > 0$.
Jun 25 at 4:42 history edited hasanghaforian CC BY-SA 4.0
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Jun 24 at 18:35 history edited hasanghaforian CC BY-SA 4.0
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Jun 24 at 18:26 history asked hasanghaforian CC BY-SA 4.0