Fourier Series and Transforms

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Fourier Series ad rasorms Orthogoal uctios Fourier Series Discrete Fourier Series Fourier rasorm Chebyshev polyomials Scope: wearetryigto approimate a arbitrary uctio ad obtai basis uctios with appropriate coeiciets.

Fourier Series he Problem we are tryig to approimate a uctio by aother uctio g which cosists o a sum over orthogoal uctios Φ weighted by some coeiciets a. g i i a Φ i

he Problem... ad we are looig or optimal uctios i a least squares l sese... g... a good choice or the basis uctios Φ are orthogoal uctios. What are orthogoal uctios? wo uctios ad g are said to be orthogoal i the iterval [a,b] i b g d a b a { } g d Mi! How is this related to the more coceivable cocept o orthogoal vectors? Let us loo at the origial deiitio o itegrals: / 3

Orthogoal Fuctios b a g d lim i i g i Δ... where a ad b, ad i - i- Δ... I we iterpret i ad g i as the ith compoets o a compoet vector, the this sum correspods directly to a scalar product o vectors. he vaishig o the scalar product is the coditio or orthogoality o vectors or uctios. i gi igi i g i i 4

Periodic uctios Let us assume we have a piecewise cotiuous uctio o the orm + 4 3 + -5 - -5 5 5... we wat to approimate this uctio with a liear combiatio o periodic uctios:, cos, si, cos, si,..., cos, si g a + { a cos + b si } 5

Orthogoality... are these uctios orthogoal? cos si cos si d d >,, > > cos si d, >... YES, ad these relatios are valid or ay iterval o legth. ow we ow that this is a orthogoal basis, but how ca we obtai the coeiciets or the basis uctios? rom miimisig -g 6

7 Fourier coeiciets optimal uctios g are give i { } Mi! g or g a leadig to... with the deiitio o g we get... { } + + d b a a a g a si cos { } + + d b d a b a a g,,...,, si,,...,, cos with si cos

Fourier approimatio o... Eample..., leads to the Fourier Serie g 4 cos cos 3 cos 5 + + +... 3 5.. ad or <4 g loos lie 4 3 - -5 - -5 5 8

Fourier approimatio o... aother Eample..., < < leads to the Fourier Serie g 4 3 + 4 4 cos si.. ad or <, g loos lie 4 3 - - -5 5 9

Fourier - discrete uctios... what happes i we ow our uctio oly at the poits i i it turs out that i this particular case the coeiciets are give by a cos,,,,... b si,,,3,..... the so-deied Fourier polyomial is the uique iterpolatig uctio to the uctio with m g m { a cos + b si } a cos m a + + m

Fourier - collocatio poits... with the importat property that... g m i i... i our previous eamples... 3.5 3.5.5.5 - -5 5 > - blue ; g - red; i - +

Fourier series - covergece > - blue ; g - red; i - + 5 4 4 3 - - -5 5 5 4 3 8 - - -5 5

Fourier series - covergece > - blue ; g - red; i - + 5 6 4 3 - - -5 5 5 3 4 3 - - -5 5 3

Gibb s pheomeo > - blue ; g - red; i - + 6 3 6 4 - -4-6.5.5 8 6 4 - -4-6.5.5 56 6 4 - -4-6.5 6 4 - -4-6.5.5 6 4 - -4-6.5.5 he overshoot or equispaced Fourier iterpolatios is 4% o the step height. 4

Chebyshev polyomials We have see that Fourier series are ecellet or iterpolatig ad dieretiatig periodic uctios deied o a regularly spaced grid. I may circumstaces physical pheomea which are ot periodic i space ad occur i a limited area. his quest leads to the use o Chebyshev polyomials. We depart by observig that cosϕ ca be epressed by a polyomial i cosϕ: cos ϕ cos 3ϕ cos 4ϕ cos 4 cos 8 cos 3 4 ϕ ϕ 3 cos ϕ ϕ 8 cos ϕ +... which leads us to the deiitio: 5

6 Chebyshev polyomials - deiitio,], [, cos, cos cos ϕ ϕ ϕ... or the Chebyshev polyomials. ote that because o cosϕ they are deied i the iterval [-,] which - however - ca be eteded to R. he irst polyomials are 4 4 3 3 ad,] [ or where 8 8 3 4 +

Chebyshev polyomials - Graphical he irst te polyomials loo lie [, -].5 _ -.5 -..4.6.8 he -th polyomial has etrema with values or - at cos,,,,3,..., et 7

Chebyshev collocatio poits hese etrema are ot equidistat lie the Fourier etrema cos,,,,3,..., et 8

Chebyshev polyomials - orthogoality... are the Chebyshev polyomials orthogoal? Chebyshev polyomials are a orthogoal set o uctios i the iterval [-,] with respect to the weight uctio such that / or d / or >,, or... this ca be easily veriied otig that cosϕ, d siϕdϕ cos ϕ, cos ϕ 9

Chebyshev polyomials - iterpolatio... we are ow aced with the same problem as with the Fourier series. We wat to approimate a uctio, this time ot a periodical uctio but a uctio which is deied betwee [-,]. We are looig or g c c g +... ad we are aced with the problem, how we ca determie the coeiciets c. Agai we obtai this by idig the etremum miimum { } d g c

Chebyshev polyomials - iterpolatio... to obtai... c d,,,,...,... surprisigly these coeiciets ca be calculated with FF techiques, otig that c cosϕcos ϕdϕ,,,,...,... ad the act that cosϕ is a -periodic uctio... c cosϕcos ϕdϕ,,,,...,... which meas that the coeiciets c are the Fourier coeiciets a o the periodic uctio Fϕcos ϕ!

Chebyshev - discrete uctios... what happes i we ow our uctio oly at the poits i cos i i this particular case the coeiciets are give by c cos cos, ϕ ϕ... leadig to the polyomial...,,,... / g m c + m c... with the property g m at cos /,,,...,

Chebyshev - collocatio poits - > - blue ; g - red; i - + 8.8 8 poits.6.4. - -.8 -.6 -.4 -...4.6.8 6.8 6 poits.6.4. - -.8 -.6 -.4 -...4.6.8 3

Chebyshev - collocatio poits - > - blue ; g - red; i - + 3.8 3 poits.6.4. - -.8 -.6 -.4 -...4.6.8 8.8 8 poits.6.4. - -.8 -.6 -.4 -...4.6. 4

Chebyshev - collocatio poits - > - blue ; g - red; i - +. 8 8 poits.8.6.4. - -.8 -.6 -.4 -...4.6.8 64. he iterpolatig uctio g was shited by a small amout to be visible at all!.8 64 poits.6.4. - -.8 -.6 -.4 -...4.6.8 5

Chebyshev vs. Fourier - umerical Chebyshev Fourier 6 35.8.6.4...4.6.8 3 5 5 5-5 > - blue ; g - red; i - + his graph speas or itsel! Gibb s pheomeo with Chebyshev? 6

Chebyshev vs. Fourier - Gibb s Chebyshev Fourier.5 6.5 6.5.5 -.5 -.5 - - -.5 - -.5.5 -.5 sig- > - blue ; g - red; i - + Gibb s pheomeo with Chebyshev? YES! 7

Chebyshev vs. Fourier - Gibb s Chebyshev Fourier.5 64.5 6.5.5 -.5 -.5 - - -.5 - -.5.5 -.5 4 sig- > - blue ; g - red; i - + 8

Fourier vs. Chebyshev Fourier Chebyshev i i collocatio poits i cos i periodic uctios domai limited area [-,] cos, si basis uctios cos ϕ, cos ϕ g m + a m + a { a cos + b si } m cos iterpolatig uctio g m c + m c 9

Fourier vs. Chebyshev cot d Fourier Chebyshev a b cos si coeiciets c cos ϕ cos ϕ Gibb s pheomeo or discotiuous uctios Eiciet calculatio via FF iiite domai through periodicity some properties limited area calculatios grid desiicatio at boudaries coeiciets via FF ecellet covergece at boudaries Gibb s pheomeo 3