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author | siveshs <siveshs@gmail.com> | 2010-07-03 04:37:16 +0000 |
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committer | bnewbold <bnewbold@adelie.robocracy.org> | 2010-07-03 04:37:16 +0000 |
commit | 825c4cd765a5bfbaa7eb196473a5b4c7410cfd4f (patch) | |
tree | 1fec99cb39ea46195a68445fcb49ca75baae2db1 | |
parent | de44c08731a07e19ae75127d4d53b362ecb27868 (diff) | |
download | afterklein-wiki-825c4cd765a5bfbaa7eb196473a5b4c7410cfd4f.tar.gz afterklein-wiki-825c4cd765a5bfbaa7eb196473a5b4c7410cfd4f.zip |
section 3 editing
-rw-r--r-- | Fourier Series.page | 11 |
1 files changed, 9 insertions, 2 deletions
diff --git a/Fourier Series.page b/Fourier Series.page index e603e15..7e3522b 100644 --- a/Fourier Series.page +++ b/Fourier Series.page @@ -138,9 +138,16 @@ which is the condition of orthonormality (the vectors are perpendicular and each ##Determining Coefficients of the Basis vectors In any vector space, the inner product of a vector and its basis vector gives the coefficient. For example, consider a 2-dimensional vector as shown below: ---> image of a 2d vector +[Graph of a vector](/vector.gif) ---> demo of coefficient being true +The above vector $\vec v$ can be expressed in terms of the basis vectors $\vec e1$ and $\vec e2$ as follows: +$$ +\begin{array}{ccl} +\vec v & = & a_1 \, \vec e1 + a_2 \, \vec e2\\ +& = & a_1 \, \begin{array}{c}1\\0\end{array} + a_2 \, \begin{array}{c}0\\1\end{array}\\ +& = & \begin{array}{c}a_1\\a_2\end{array} +\end{array} +$$ Extending this principle to the case of an n-dimensional vector: --> compute inner product here and then continue to show what the coefficient formula is |