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lecture_18
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| lecture_18 [2016/04/07 14:26] – rupert | lecture_18 [2017/04/06 10:04] (current) – rupert | ||
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| Consider a triangle with two sides $\vv$ and $\ww$. By the triangle rule for vector addition, the third side $\vec x$ has $\ww+\vec x=\vv$, so $\vec x=\vv-\ww$: | Consider a triangle with two sides $\vv$ and $\ww$. By the triangle rule for vector addition, the third side $\vec x$ has $\ww+\vec x=\vv$, so $\vec x=\vv-\ww$: | ||
| - | Applying the cosine rule gives \[ \|\vv-\ww\|^2=\|\vv\|\,\|\ww\|-2\vv\cdot\ww\cos\theta.\] | + | Applying the cosine rule gives \[ \|\vv-\ww\|^2=\|\vv\|^2+\|\ww\|^2-2\|\vv\|\,\|\ww\|\,\cos\theta.\] |
| On the other hand, we know that $\|\vec x\|^2=\vec x\cdot\vec x$, so | On the other hand, we know that $\|\vec x\|^2=\vec x\cdot\vec x$, so | ||
| \begin{align*}\|\vv-\ww\|^2& | \begin{align*}\|\vv-\ww\|^2& | ||
| - | So $\|\vv\|\,\|\ww\|-2\vv\cdot\ww\cos\theta=\|\vv\|^2+\|\ww\|^2-2\vv\cdot\ww$, hence $\vv\cdot\ww=\|\vv\|\, | + | So \[\|\vv\|^2+\|\ww\|^2-2\|\vv\|\,\|\ww\|\,\cos\theta=\|\vv\|^2+\|\ww\|^2-2\vv\cdot\ww\cos\theta.\] Subtracting |
| ==== Corollary ==== | ==== Corollary ==== | ||
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| - The points $A=(2,3)$, $B=(3,6)$ and $C=(-4,5)$ are the vertices of a right-angled triangle. Indeed, we have $\vec{AB}=\c36-\c23=\c13$ and $\vec{AC}=\c{-4}5-\c23=\c{-6}2$, | - The points $A=(2,3)$, $B=(3,6)$ and $C=(-4,5)$ are the vertices of a right-angled triangle. Indeed, we have $\vec{AB}=\c36-\c23=\c13$ and $\vec{AC}=\c{-4}5-\c23=\c{-6}2$, | ||
| - To find a unit vector orthogonal to the vector $\vv=\c12$, we can first observe that $\ww=\c{-2}1$ has $\vv\cdot\ww=0$, | - To find a unit vector orthogonal to the vector $\vv=\c12$, we can first observe that $\ww=\c{-2}1$ has $\vv\cdot\ww=0$, | ||
| - | |||
| - | ===== The orthogonal projection of one vector onto another ===== | ||
| - | |||
| - | Let $\ww$ be a non-zero vector, and let $\vv$ be any vector. We call a vector $\def\pp{\vec p}\def\nn{\vec{n}}\pp$ the **orthogonal projection of $\vv$ onto $\ww$**, and write $\pp=\def\ppp{\text{proj}_{\ww}\vv}\ppp$, | ||
| - | |||
| - | - $\pp$ is in the same direction as $\ww$; and | ||
| - | - the vector $\nn=\vv-\pp$ joining the end of $\pp$ to the end of $\vv$ is orthogonal to $\ww$. | ||
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| - | {{ : | ||
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| - | We can use these properties of $\pp$ to find a formula for $\pp$ in terms of $\vv$ and $\ww$. | ||
| - | |||
| - | - Since $\pp$ is in the same direction as $\ww$, we have $\pp=c\ww$ for some scalar $c\in \mathbb{R}$. | ||
| - | - Since $\nn=\vv-\pp$ is orthogonal to $\ww$, we have $\nn\cdot \ww=0$. Hence \begin{align*}&& | ||
| - | |||
| - | So | ||
| - | \[ \pp=\ppp=\frac{\vv\cdot\ww}{\|\ww\|^2}\ww.\] | ||
| - | |||
| - | We call $\nn=\vv-\ppp$ the component of $\vv$ orthogonal to $\ww$. | ||
| - | |||
| - | === Example === | ||
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| - | If $\vv=\def\c# | ||
| - | \begin{align*}\ppp& | ||
| - | and the component of $\vv$ orthogonal to $\ww$ is | ||
| - | \begin{align*}\nn& | ||
lecture_18.1460039163.txt.gz · Last modified: by rupert
