Let \(\mathbf{u}\) and \(\mathbf{v}\) be vectors in the plane, where \(\mathbf{v}\,\neq\, \mathbf{0}\).
For every real number \(t\), let \(P(t)=\abs{\mathbf{u} -t \mathbf{v}}^2\).
- Show that \(P(t)=\abs{\mathbf{u}}^2-2 t( \mathbf{u} \cdot \mathbf{v} )+t^2 \abs{\mathbf{v}}^2\). (1 mark)
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- Show that \(P(t)\) has a minimum value at \(t=\dfrac{ \mathbf{u} \cdot \mathbf{v} }{\abs{\mathbf{v}}^2}\). (2 marks)
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- Hence prove the Cauchy-Schwarz inequality, \(\abs{\mathbf{u}\cdot\mathbf{v}} \leq \abs{\mathbf{u}}\abs{\mathbf{v}}\). (3 marks)
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