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MATH529 L03: Fourier Series
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Orthogonal functions
Fourier Series
Fourier Cosine and Sine Series
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Orthogonal functions: inner product
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Definition. In the inner product of two vectors is defined as
Definition. In general a scalar product has properties:
if , and if
Definition. The inner product of two functions is defined as
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Orthogonal functions: inner product
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Example. The scalar product of , ,
In[6]:= |
ScProd[f_,g_]:=Integrate[f g,{x,-1,1}]; Table[ScProd[x^l,x^m],{l,1,4},{m,1,4}] |
Definition. Functions are orthogonal if their scalar product is null, .
Definition. Functions are an orthogonal set if .
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Orthogonal functions: norm
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The -norm of vector given by inner product
Similarly for functions,
Definition. Functions are an orthonormal set if and Using Kronecker delta .
is an orthogonal set on
In[2]:= |
ScCos[m_,n_]:=Integrate[Cos[m x] Cos[n x],{x,-Pi,Pi}]; Table[ScCos[m,n],{m,1,3},{n,1,3}] |
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Orthogonal functions: weighted scalar product
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For , ,
The inner product reflects Euclidean geometry, other geometries described by a weighted version of the inner product , with s.p.d
Similarly for functions , weighted scalar products are defined as
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Orthogonal functions: Trigonometric (Fourier) series
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Find the expansion of on the set , e.g.:
expansion on the cosines
expansion on the sines
expansion on the trigonometric basis
that is analogous to the expansion of a vector
Find a trigonometric (Fourier) series for ,
The coefficients are
In general for
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Fourier series convergence
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For , piecewise continuous the Fourier series converges to except at discontinuities where it converges to the arithmetic average
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Cosine series
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Consider , , i.e., is an even function. Then
for piecewise continuous
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Sine series
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Consider , , i.e., is an odd function. Then
for piecewise continuous