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| author | siveshs <siveshs@gmail.com> | 2010-07-02 20:16:31 +0000 |
|---|---|---|
| committer | bnewbold <bnewbold@adelie.robocracy.org> | 2010-07-02 20:16:31 +0000 |
| commit | 17e8c6dfce3f8800c3320bd5c00af75c8d681b2c (patch) | |
| tree | 66bf71f6fbe4bbd2e31e46cd19f0f7e5f3fbf115 | |
| parent | d373618eda712825cb2b372ebd1cf79557df51f1 (diff) | |
| download | afterklein-wiki-17e8c6dfce3f8800c3320bd5c00af75c8d681b2c.tar.gz afterklein-wiki-17e8c6dfce3f8800c3320bd5c00af75c8d681b2c.zip | |
section 2 editing
| -rw-r--r-- | Fourier Series.page | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/Fourier Series.page b/Fourier Series.page index 1c00a5b..391a82a 100644 --- a/Fourier Series.page +++ b/Fourier Series.page @@ -73,6 +73,8 @@ As a final test to see if the Fourier series really could exist for any periodic If it is possible to approximate the above function using a sum of sines and cosines, then it can be argued that *any* continuous periodic function can be expressed in a similar way. This is because any function could be expressed as a number of peaks at every position. It turns out that the above function can be approximated as the sum of two cosines, namely, $\cos^{2n}(x) + cos^{2n+1}(x)$ +  + ##What is the Fourier series actually?</b> ##Why is Fourier series useful? </b> |