maximum value of scalar triple product.

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If $\vec{a}\;,\vec{b}$ are $2$ unit vectors and $\vec{c}$ is a vector such that

$\vec{c} = \vec{a}\times \vec{c}+\vec{b}.$ Then $\max$ of $\vec{a}\cdot (\vec{b}\times \vec{c})$ is

Try: Given $\vec{c}=\vec{a}\times \vec{c}+\vec{b}=-(\vec{c}\times \vec{a})+\vec{b}.$

So $\vec{c}\times \vec{a}=\vec{b}-\vec{c}.$

Now taking dot product with $\vec{b}.$

$\vec{b}\cdot \left(\vec{c}\times \vec{a}\right)=\vec{b}\cdot \vec{b}-\vec{b}\cdot \vec{c}.$

So $[\vec{a}\;\vec{b}\;\vec{c}]=1-|\vec{c}|\cos \theta.$

Could some help me how to solve it, Thanks

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We have 3 vectors so the problem could be solved in a proper subspace with dimension 3 which contains all the 3 vectors $a,b,c$ . First we solve the problem when $a$ and $b$ are linearly independent i.e. $$a\ne \pm b$$ In this case, we can have the following linear independent basis for solution space $\Bbb R^3$:$$a,b,a\times b$$since $a\times b$ is orthogonal on both $a,b$. Therefore any vector (including $c$) can be expressed as a linear combination of the basis, specially:$$c=k_1a+k_2b+k_3a\times b$$for some $k_1,k_2,k_3\in\Bbb R$. By substituting in the definition ($c=a\times c+b$) we have $$k_1a+k_2b+k_3a\times b=k_2a\times b+k_3a\times(a\times b)+b\\k_1a+k_2b+k_3a\times b=k_2a\times b+k_3(a\cdot b)a-k_3b+b$$which yields to the following system of equations $$\begin{cases}k_1=k_3(a\cdot b)\\k_2=1-k_3\\k_2=k_3\end{cases}$$that has the following answer $$k_1={1\over 2}a\cdot b\\k_2=k_3={1\over 2}$$b substitution we obtain $$c={1\over 2}(a\cdot b)a+{1\over 2}b+{1\over 2}a\times b$$so we have$$a\cdot (b\times c){=a\cdot \left(b\times[{1\over 2}(a\cdot b)a+{1\over 2}b+{1\over 2}a\times b]\right)\\=a\cdot\left({1\over 2}(a\cdot b)b\times a+{1\over 2}a-{1\over 2}b(a\cdot b)\right)\\={1\over 2}\left(1-(a\cdot b)^2\right)}$$This expression is maximum when $a$ and $b$ are orthonormal (which fulfills the assumption of linear independence of $a,b$) and the maximum is $1\over 2$.

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$c×a$ is perpendicular to $c$, and $a$ is in the plane perpendicular to $c×a$, so let $$c=(x,0,0),\\c×a=(0,y,0), \\a=(z, 0,w)$$ Use information about the vectors to form equations between $x, y, z$ and $w$.

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\begin{align} \vec{c} \times \hat{a}&=\hat{b}-\vec{c}\\ \Rightarrow(\vec{c} \times \hat{a}) \times \vec{c}&=(\hat{b} \times \vec{c})\ - (\vec{c} \times \vec{c})\\ &=\hat{b} \times \vec{c} \tag{1} \end{align}

\begin{align} [\hat{a}.(\hat{b} \times \vec{c})]_{max} &=[\hat{a}.(c \ \sin\phi_{(\hat{b},\ \vec{c}\ )}) \ \hat{a}]\\ &=c \sin\phi_{(\hat{b},\ \vec{c}\ )}\\ &=\lvert \hat{b} \times \vec{c} \rvert\\ \tag{by 1} &=\lvert (\vec{c} \times \hat{a}) \times \vec{c} \rvert\\ &=\lvert \vec{c} \times (\vec{c} \times \hat{a}) \rvert\\ &=\lvert \vec{c} \ (\vec{c}.\hat{a})-\hat{a} \ (\vec{c}.\vec{c}) \rvert\\ &=c^2 \ \lvert \hat{c} \ (\hat{c}.\hat{a})-\hat{a} \rvert\\ &=1^2+1^2-2(1)(-1) \cos\theta_{(\hat{c}, \hat{a})} \\ &= 2c^2 \left[ 1+\cos\theta \right] \\ &= 2c^2 \left[ 1+\cos 2 \left( \dfrac{\theta}{2} \right) \right] \\ &= 2c^2 \left[ 2 \cos^2 \left( \dfrac{\theta}{2} \right) \right] \\ &= \left[ 2c \cos \left( \dfrac{\theta}{2} \right) \right] ^2 \\ \end{align}

It is somewhat simplified. Hope this is what you are looking for.

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Here's another proof. For simplicity and without loss of generality, we can take $\hat a=\hat k$, then the triple scalar product becomes $$ I=\hat a\cdot (\hat b\times\vec c)=\hat k\cdot(\hat b\times\vec c)=b_xc_y-b_yc_x $$ It is given in the problem that $\vec c=\hat a\times \vec c+\hat b$. We can easily find $c_x=-c_y+b_x$, $c_y=c_x+b_y$, and $c_z=b_z$. Solving this, we find $$ c_x=\frac{b_x-b_y}{2},\\ c_y=\frac{b_x+b_y}{2} $$ Replacing this in the triple scalar product we find $$ I=\frac{b_x^2+b_y^2}{2}=\frac{1-b_z^2}{2}, $$ since $|\hat b|=1$. Hence, $I$ is maximum if $b_z=0$ and $I_{max}=\frac{1}{2}$. Confirming the result by Mostafa Ayaz above.