midterm: done 75% of 3
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@ -372,4 +372,80 @@ move for some iterations.
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# Exercise 3
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We first show that the lemma holds for $\tau \in [0,1]$. Since
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$$\|\tilde{p}(\tau)\| = \|\tau p^U\| = \tau \|p^U\| \text{ for } \tau \in [0,1]$$
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Then the norm of the step $\tilde{p}$ clearly increases monotonically as $\tau$
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increases. For the second criterion, we compute the quadratic model for a
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generic $\tau \in [0,1]$:
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$$m(\tilde{p}(\tau)) = f - \frac{\tau^2 \|g\|^2}{g^TBg} - \frac12 \frac{\tau^2
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\|g\|^2}{(g^TBg)^2} g^TBg = f - \frac12 \frac{\tau^2 \|g\|^2}{g^TBg}$$
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$g^T B g > 0$ since we assume $B$ is positive definite, therefore the entire
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term in function
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of $\tau^2$ is negative and thus the model for an increasing $\tau \in [0,1]$
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decreases monotonically (to be precise quadratically).
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Now we show that the monotonicity claims hold also for $\tau \in [1,2]$. We
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define a function $h(\alpha)$ (where $\alpha = \tau - 1$) with same monotonicity
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as $\|\tilde{p}(\tau)\|$ and we show that this function monotonically increases:
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$$h(\alpha) = \frac12 \|\tilde{p}(1 - \alpha)\|^2 = \frac12 \|p^U + \alpha(p^B -
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p^U)\|^2 = \frac12 \|p^U\|^2 + \frac12 \alpha^2 \|p^B - p^U\|^2 + \alpha (p^U)^T
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(p^B - p^U)$$
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We now take the derivative of $h(\alpha)$ and we show it is always positive,
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i.e. that $h(\alpha)$ has always positive gradient and thus that is it
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monotonically increasing w.r.t. $\alpha$:
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$$h'(\alpha) = \alpha \|p^B - p^U\|^2 + (p^U)^T (p^B - p^U) \geq (p^U)^T (p^B - p^U)
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= \frac{g^Tg}{g^TBg}g^T\left(- \frac{g^Tg}{g^TBg}g + B^{-1}g\right) =$$$$= \|g\|^2
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\frac{g^TB^{-1}g}{g^TBg}\left(1 - \frac{\|g\|^2}{(g^TBg)(g^TB^{-1}g)}\right) $$
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Since we know $B$ is symmetric and positive definite, then $B^{-1}$ is as well.
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Therefore, we know that the term outside of the parenthesis is always positive
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or 0. Therefore, we now only need to show that:
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$$\frac{\|g\|^2}{(g^TBg)(g^TB^{-1}g)} \leq 1 \Leftrightarrow \|g\|^2 \leq
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(g^TBg)(g^TB^{-1}g)$$
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since both factors in the denominator are positive for what we shown before.
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We now define a inner product space $\forall a, b \in R^N, \; {\langle a,
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b\rangle}_B = a^T B b$. We now prove that this is indeed a linear product space
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by proving all properties of such space:
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- **Linearity w.r.t. the first argument:**
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${\langle x, y \rangle}_B + {\langle z,
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y \rangle}_B = x^TBy + z^TBy = (x + z)^TBy = {\langle (x + z), y \rangle}_B$;
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- **Symmetry:**
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${\langle x, y \rangle}_B = x^T B y = (x^T B y)^T = y^TB^Tx$, and
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since $B$ is symmetric, $y^TB^Tx = y^TBx = {\langle y,x \rangle}_B$;
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- **Positive definiteness:**
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${\langle x, x \rangle_B} = x^T B x > 0$ is true since B is positive definite.
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Since ${\langle x, y \rangle}_B$ is indeed a linear product space, then:
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$${\langle g, B^{-1} g \rangle}_B \leq {\langle g, g \rangle}_B, {\langle B^{-1}
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g, B^{-1} g \rangle}_B$$
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holds according to the Cauchy-Schwartz inequality. Now, if we expand each inner
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product we obtain:
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$$g^T B B^{-1} g \leq (g^T B g) (g^T (B^{-1})^T B B^{-1} g)$$
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Which, since $B$ is symmetric, in turn is equivalent to writing:
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$$g^T g \leq (g^TBg) (g^T B^{-1} g)$$
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which is what we needed to show to prove that the first monotonicity constraint
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holds for $\tau \in [1,2]$.
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**TBD**
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