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Fourier Series on a General Interval

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Fourier Series on a General Interval

FS04 and FS05 derived the complete real Fourier coefficient set on the special interval [−π,π]:

a0 = 1
--
π∫ −ππf(x) dx, (1)
an = 1-
π∫ −ππf(x) cos(nx) dx, (2)
bn = 1
--
π∫ −ππf(x) sin(nx) dx. (3)

Those formulas are not restricted to functions whose natural period happens to be 2π. The interval [−π,π] is only a convenient dimensionless reference interval.

In this article we stretch or compress that reference interval to

− L ≤  x ≤ L,
(4)

whose total length is

2L.
(5)

The main goals are to derive, rather than memorize,

       ∫
     1    L
a0 = --    f (x)dx,
     L   −L
(6)

        ∫ L         (     )
an = -1     f(x)cos  n-πx  dx,     n ≥  1,
     L   −L            L
(7)

and

        ∫
      1   L         (nπx )
bn = L-     f(x)sin  -L--  dx,     n ≥ 1.
         −L
(8)

The corresponding series is

       a    ∑∞  [      ( nπx )        ( nπx ) ]
f(x) ∼ -0-+      an cos  ----  + bnsin  ----   .
        2   n=1           L              L
(9)

The symbol ∼ is used because the precise conditions under which the infinite series converges to f are postponed to FS14–FS16.

PIC

Figure 1. The general interval [−L,L] is mapped to the reference interval [−π,π] by the dimensionless angle 𝜃 = πx∕L. The endpoints x = −L,0,L map to 𝜃 = −π,0,π.

1 Why the old basis cos(nx) and sin(nx) must change

On [−π,π], the full interval has length 2π. The functions

cos(nx),    sin(nx )
(10)

fit an integer number of cycles into that interval.

If the interval changes to [−L,L], the same functions generally no longer fit an integer number of cycles into one interval of length 2L.

For example, cos x has period 2π. If L = 5, then the interval length is 10, not 2π. There is no reason for cos x to return to the same phase after moving from one copy of the interval to the next.

So the harmonic frequencies must scale with L.

2 Deriving the allowed spatial frequencies from periodicity

Consider a cosine of the form

cos(kx),
(11)

where k is a spatial angular frequency, usually called a Wavenumber.

To repeat after the full interval length 2L, require

cos[k(x + 2L )] = cos(kx )
(12)

for every x.

A cosine returns to the same phase when its argument increases by an integer multiple of 2π. Therefore require

k(2L ) = 2πn,     n = 0,1,2, ...
(13)

Divide both sides by 2L:

kn =  nπ.
      L
(14)

The smallest positive wavenumber is obtained for n = 1:

k =  π-.
 0   L
(15)

Here k0 denotes the fundamental wavenumber. Then

kn = nk0.
(16)

The corresponding basis functions are

    (n-πx )
cos    L
(17)

and

   ( nπx-)
sin    L    .
(18)

PIC

Figure 2. Requiring a phase advance of 2πn across the period 2L gives the discrete wavenumbers kn = nπ∕L. The nth harmonic completes n cycles over one interval of length 2L.

3 A second derivation by rescaling the coordinate

There is another way to reach the same basis that makes the connection to [−π,π] explicit.

Define the dimensionless variable

    πx-
𝜃 =  L .
(19)

When

x = − L,
(20)

we obtain

𝜃 = − π.
(21)

When

x =  L,
(22)

we obtain

𝜃 = π.
(23)

Thus the map

𝜃 = πx-
     L
(24)

takes [−L,L] into [−π,π].

Solve Equation (19) for x:

    L
x = --𝜃.
    π
(25)

Differentiate:

dx =  L-d𝜃.
      π
(26)

The old basis on the reference interval is

cos(n 𝜃),    sin(n𝜃).
(27)

Substitute

    πx
𝜃 = -L-.
(28)

Then

             ( nπx )
cos(n𝜃) = cos  ----  ,
                L
(29)

and

             (     )
sin(n𝜃) = sin   nπx-  .
                L
(30)

So the periodicity derivation and the coordinate-rescaling derivation agree.

4 Orthogonality must also rescale

The coefficient formulas depend on orthogonality, so we must determine the new inner products on [−L,L].

Consider two cosine harmonics:

      ∫
 (c)     L     (nπx )    ( m πx )
Imn =     cos  ----  cos  -----  dx.
       − L      L           L
(31)

Use

𝜃 = πx-,     dx = L-d𝜃.
     L             π
(32)

The limits become −π and π, so

Imn(c) = L
--
π∫ −ππ cos(n𝜃) cos(m𝜃) d𝜃. (33)

FS03 gave

∫
   π
    cos(n 𝜃)cos(m 𝜃)d𝜃 = π δmn.
  −π
(34)

Therefore

Imn(c) = L
--
π(πδmn) (35)
= Lδmn. (36)

Hence

∫ L    (     )    (      )
    cos  nπx-  cos  m-πx- dx =  Lδmn.
 −L       L          L
(37)

Exactly the same substitution gives

∫
  L    ( nπx-)    ( mπx-)
    sin   L    sin    L    dx =  Lδmn,
 − L
(38)

and

∫ L    ( nπx )    ( m πx)
    sin   ----  cos  ----- dx =  0.
 −L       L          L
(39)

PIC

Figure 3. Rescaling the horizontal coordinate stretches the orthogonality interval and also stretches the basis norms. The zero cross-products remain zero, while the equal-harmonic norm squared changes from π to L.

5 Norms of the scaled basis functions

Set m = n in Equation (37):

∫ L     ( nπx )
    cos2  ----  dx = L.
 −L        L
(40)

Therefore

∥   (     )∥    √ --
∥∥cos  nπx- ∥∥ =    L.
       L
(41)

Similarly,

∥   (     )∥   √ --
∥∥sin   nπx- ∥∥ =   L.
       L
(42)

The constant function has norm squared

        ∫
           L
⟨1,1 ⟩ =     1dx =  2L.
          −L
(43)

Hence

      √ ---
∥1∥ =   2L.
(44)

This already predicts the coefficient normalization:

  • nonconstant sine and cosine basis functions have norm squared L, so their projection coefficients will contain 1∕L;
  • the constant basis has norm squared 2L, so the actual constant projection will contain 1∕(2L).

PIC

Figure 4. On [−L,L], the constant basis has norm squared 2L, while every nonzero sine or cosine harmonic has norm squared L. These norms determine the coefficient prefactors.

6 Start with a finite scaled trigonometric expansion

As in FS04 and FS05, begin with a finite expansion so no infinite-series convergence theorem is needed:

            ∑N  [      (     )        (     ) ]
f(x) = a0-+      an cos  nπx-  + bnsin  nπx-   .
        2   n=1           L              L
(45)

We now extract the coefficients using the same projection operations as before.

7 Derivation of the cosine coefficient on [−L,L]

Choose a positive integer m and multiply Equation (45) by

   (     )
cos  mπx-- .
      L
(46)

Then integrate from −L to L:

∫ −LLf(x) cos (      )
  m-πx-
    Ldx (47)
= a0
---
2 ∫ −LL cos (m πx )
 -----
   Ldx (48)
+ ∑ n=1Na n ∫ −LL cos (     )
 n-πx
   L cos (     )
  m-πx-
   Ldx (49)
+ ∑ n=1Nb n ∫ −LL sin ( nπx )
  ----
   L cos (m πx )
 -----
   Ldx. (50)

The first term vanishes because the nonconstant cosine harmonic has zero mean over one complete period.

The sine-cosine sum vanishes by mixed orthogonality.

Every cosine-cosine term vanishes except the one with n = m.

For that surviving term,

∫ L     (     )
    cos2  mπx-- dx =  L.
 −L        L
(51)

Thus Equation (50) reduces to

∫  L         (m πx )
    f (x)cos  -----  dx = Lam.
  −L            L
(52)

Divide by L:

        ∫
      1-  L         ( m-πx-)
am =  L     f(x )cos   L    dx.
         −L
(53)

This is Equation (7).

8 Derivation of the sine coefficient on [−L,L]

Now multiply Equation (45) by

   (      )
     m-πx-
sin   L
(54)

and integrate from −L to L.

The constant term vanishes.

Every cosine-sine term vanishes.

Every sine-sine term with n≠m vanishes.

The surviving equal-harmonic term has norm squared L:

∫ L     (m πx )
    sin2  -----  dx = L.
 −L        L
(55)

Therefore

∫
  L        ( m-πx-)
    f(x)sin    L    dx = Lbm.
 −L
(56)

Divide by L:

      1 ∫ L         ( mπx )
bm =  --    f(x )sin   ----- dx.
      L  −L            L
(57)

This is Equation (8).

9 Derivation of the constant coefficient

Integrate Equation (45) directly over [−L,L]:

∫ −LLf(x) dx = a0
---
2 ∫ −LL1 dx (58)
+ ∑ n=1Na n ∫ −LL cos (     )
 n-πx
   Ldx (59)
+ ∑ n=1Nb n ∫ −LL sin ( nπx )
  ----
   Ldx. (60)

Every nonconstant harmonic integrates to zero over the full period, leaving

∫ L           a0
    f(x) dx = ---(2L ).
 −L            2
(61)

Therefore

∫  L
    f (x)dx =  La0,
  −L
(62)

and

       ∫  L
     1-
a0 = L   −Lf (x)dx.
(63)

The actual constant term is

         ∫
a0-   -1-  L
 2 =  2L     f (x )dx.
          − L
(64)

Equation (64) is exactly the mean value of f over an interval of total length 2L.

10 The complete Fourier series on [−L,L]

Collecting the results,

       a    ∑∞  [      ( nπx )        ( nπx ) ]
f(x) ∼ -0-+      an cos  ----  + bnsin  ----   ,
        2   n=1           L              L
(65)

with

       ∫
     1-   L
a0 = L     f (x)dx,
         −L
(66)

      1 ∫ L         ( nπx )
an =  --    f(x )cos  ----  dx,
      L  − L           L
(67)

and

       ∫
     1-  L         ( nπx-)
bn = L     f(x )sin    L    dx.
        − L
(68)

The formulas have exactly the same structure as the [−π,π] formulas. Only the scale of the basis and the basis norms have changed.

11 Projection interpretation

Define

 (c)         ( nπx-)
ϕn  (x ) = cos   L   .
(69)

Its squared norm is

⟨ϕ(nc),ϕ(cn)⟩ = L.
(70)

Therefore its projection coefficient is

cn =       (c)
-⟨f,-ϕn-⟩-
   (c)  (c)
⟨ϕ n ,ϕn ⟩ (71)
= -1
L∫ −LLf(x) cos (     )
  nπx-
   Ldx (72)
= an. (73)

The same calculation gives bn for the sine basis.

For the constant basis,

            ∫
⟨f,1⟩-   1--  L           a0-
⟨1,1⟩ =  2L     f(x )dx =  2 .
             −L
(74)

Thus all three formulas are one projection rule.

12 Normalized Fourier basis on [−L,L]

The normalized constant basis function is

^       --1--
ϕ0(x) = √ ---.
          2L
(75)

For n ≥ 1, define

                 (     )
^ϕ(c)(x ) = √1--cos  nπx-  ,
 n          L       L
(76)

and

^(s)      -1--   ( nπx-)
ϕn  (x ) = √ --sin    L   .
            L
(77)

These satisfy unit norms and mutual orthogonality.

When normalized basis functions are used, the projection coordinates no longer need a denominator:

c(cn)=  ⟨f, ^ϕ(nc)⟩,
(78)

and

c(sn)=  ⟨f, ^ϕ(ns)⟩.
(79)

The numerical coordinate changes, but the projected function does not.

13 Parity shortcuts survive the rescaling

Because [−L,L] is symmetric about zero, all parity arguments from FS05 remain valid.

If f is even, then

b =  0
n
(80)

for every n, and

     2 ∫ L         ( nπx )
an = --    f(x) cos  ----  dx.
     L  0             L
(81)

Also,

        ∫ L
a  = -2    f (x)dx.
 0   L   0
(82)

If f is odd, then

a0 = 0,     an = 0,
(83)

and

       ∫
     2-  L         (n-πx )
bn = L     f(x )sin    L   dx.
        0
(84)

14 Example 1: the odd ramp f(x) = x on [−L,L]

Because f(x) = x is odd,

a  = 0,     a  = 0.
 0           n
(85)

Only bn remains:

        ∫ L     (     )
b  =  2-    xsin  nπx-  dx.
 n    L  0         L
(86)

Let

k  =  nπ.
 n    L
(87)

Then

        ∫
      2-  L
bn =  L     xsin(knx) dx.
         0
(88)

Use integration by parts:

u = x,     dv = sin(knx)dx.
(89)

Then

                    cos(knx)
du =  dx,     v = − --------.
                       kn
(90)

Therefore

∫ 0Lx sin(k nx) dx = [   xcos(k x )]
  − ------n---
       kn0L +  1
---
kn ∫ 0L cos(k nx) dx. (91)

The final integral is

   [         ]
-1- sin(knx-) L
k      k        = 0
 n       n    0
(92)

because

knL = n π.
(93)

Hence

∫ 0Lx sin(k nx) dx = −Lcos(n π)
----------
   kn (94)
= −L(−-1)n-
n π∕L (95)
= − 2     n
L-(−-1)--
  n π. (96)

Therefore

bn = 2
L-[           ]
   L2 (− 1)n
 − ---nπ---- (97)
= 2L(−-1)n+1-
    nπ. (98)

Thus

     ∞
     ∑   2L(−-1)n+1-   (n-πx )
x ∼         n π     sin    L   .
     n=1
(99)

Setting L = π reproduces the FS05 result

           n+1
bn = 2(−-1)---.
         n
(100)

15 Example 2: f(x) = x2 on [−L,L]

The function is even, so

bn = 0.
(101)

The constant coefficient is

a0 = 2
--
L∫ 0Lx2 dx (102)
= 2-
L[   ]
 x3-
  30L (103)
=   2
2L--
 3. (104)

Therefore the mean term is

       2
a0-=  L--.
 2     3
(105)

For n ≥ 1,

       ∫
     2    L 2    ( nπx )
an = --    x  cos  ----  dx.
     L   0          L
(106)

The same two integrations by parts used in FS04 give

     4L2-(− 1-)n
an =    n2π2   .
(107)

Therefore

       2      2∑∞       n    (     )
x2 ∼  L--+ 4L--    (−-1)- cos  nπx- .
      3     π2 n=1   n2         L
(108)

The coefficient scale is proportional to L2, exactly as dimensional reasoning predicts because x2 has dimensions of length squared.

PIC

Figure 5. The cosine-series coefficients of x2 on [−L,L] scale as L2∕n2. Changing L changes both the spatial wavelength of each basis function and the coefficient scale.

16 Example 3: a centered pulse on [−L,L]

Let

       {
         A,   |x | < d,
f(x ) =                        0 < d < L.
         0,   d < |x| ≤ L,
(109)

This function is even, so

b  = 0.
 n
(110)

The constant coefficient is

a0 = -1
L∫ −LLf(x) dx (111)
=  1
--
L(2Ad) (112)
= 2Ad-
  L. (113)

Therefore the mean is

a0-   Ad-
 2 =  L  .
(114)

For n ≥ 1,

an = 2-
L∫ 0dA cos ( nπx-)
   Ldx (115)
= 2A-
L[       (     )]
 -L- sin  n-πx
 n π       L0d (116)
= 2A
---
nπ sin (n πd )
 ----
   L. (117)

The coefficient pattern depends only on the dimensionless width ratio

d
-.
L
(118)

PIC

Figure 6. A centered pulse has only cosine harmonics. Its coefficients are proportional to sin(nπd∕L)∕n, so the spectral pattern is controlled by the fractional half-width d∕L.

17 Recovering the [−π,π] formulas as a special case

Set

L  = π.
(119)

Then

nπx- = n-πx = nx.
 L       π
(120)

Also,

1-   1-
L  = π .
(121)

Therefore the general formulas reduce immediately to

        ∫
      1   π
an =  --    f(x)cos(nx )dx,
      π  −π
(122)

and

        ∫ π
bn =  1-    f(x)sin(nx )dx.
      π  −π
(123)

So FS04 and FS05 are exactly the special case L = π of the present derivation.

18 Time-domain notation: period T

For a time-domain problem, the centered interval is naturally written

  T        T
− --≤  t ≤ --,
  2        2
(124)

where T is the temporal period.

The general-interval formulas are transferred to time by making the mathematical replacements

                   T-
x −→  t,    L − →  2 .
(125)

This is a replacement of interval notation, not an equation between a physical length and a physical time.

The fundamental angular frequency is therefore

ω0 = -π--
T∕2 (126)
= 2π-
T. (127)

The harmonic phase becomes

n πt
----
T ∕2 = 2πnt
-----
 T (128)
= nω0t. (129)

For a T-periodic time signal centered on [−T∕2,T∕2],

             ∞
       a0-  ∑
f(t) ∼ 2  +    [an cos(nω0t) + bnsin(nω0t)],
            n=1
(130)

with

       ∫
     2-   T∕2
an = T       f(t)cos(n ω0t)dt,
         −T∕2
(131)

     2 ∫  T∕2
bn = --      f(t)sin(nω0t) dt,
     T   −T∕2
(132)

and

       ∫
     2-  T∕2
a0 = T       f(t)dt.
        − T∕2
(133)

The actual DC term is

a    1 ∫  T∕2
-0=  --      f(t)dt.
2    T   −T∕2
(134)

19 Spatial wavenumber versus temporal frequency

The same mathematics appears in two common notations.

For a spatially periodic function with period 2L,

k0 = π-
     L
(135)

and

kn = nk0.
(136)

For a time-periodic function with period T,

      2π-
ω0 =  T
(137)

and

ωn = n ω0.
(138)

The basis functions are therefore written as either

cos(knx ),    sin(knx),
(139)

or

cos(ωnt),    sin(ωnt).
(140)

PIC

Figure 7. The same harmonic structure appears in space and time. A spatial period 2L gives k0 = π∕L, while a temporal period T gives ω0 = 2π∕T.

20 Dimensional check

If x has dimensions of length, then

nπx-
 L
(141)

is dimensionless because x∕L is dimensionless.

The trigonometric functions therefore receive dimensionless arguments as required.

The coefficient formula

     1 ∫  L         (nπx )
an = --    f (x)cos  ----  dx
     L   −L           L
(142)

also has the same dimensions as f:

[   ]
  1-
  L  [f][L ] = [f ].
(143)

The same is true for bn and a0.

21 Why the interval must cover one complete period

The formulas above use [−L,L] because that interval has length 2L, which is one complete period of the chosen basis.

If one integrates over a shorter interval without changing the basis, the cancellation relations can fail.

The important principle is not the location of the endpoints by itself. The important principle is that the integration interval span a complete period over which the chosen harmonics are mutually orthogonal.

Later articles will use intervals such as

[0,2L ]
(144)

or

[t0,t0 + T ].
(145)

The basis can be shifted accordingly. The present centered interval is especially convenient because even/odd parity shortcuts remain available.

22 A practical coefficient workflow on [−L,L]

For a new periodic function on [−L,L]:

  1. Identify the half-period L.
  2. Write the fundamental wavenumber
    k0 = π-.
     L
    (146)

  3. Write the basis
    cos(nk  x),    sin(nk x).
       0             0
    (147)

  4. Check parity before integrating.
  5. Compute the mean term
    a      1 ∫ L
--0=  ---    f (x )dx.
 2    2L  − L
    (148)

  6. Compute surviving cosine coefficients.
  7. Compute surviving sine coefficients.
  8. Check dimensions.
  9. Set L = π as a quick consistency test when the example can be compared with an earlier result.

23 Common mistakes

  1. Using cos(nx) and sin(nx) on an arbitrary interval without rescaling the argument.
  2. Writing the fundamental wavenumber as 2π∕L instead of π∕L when the full period is 2L.
  3. Forgetting that
    T = 2L.
    (149)

  4. Using 1∕π in the coefficient formula after the interval has changed.
  5. Using 1∕(2L) for an or bn. The 1∕(2L) factor belongs to the actual constant projection a0∕2.
  6. Forgetting that the equal-harmonic sine and cosine norm squared is L, not 2L.
  7. Forgetting to rescale dx when using
        πx
𝜃 = -L-.
    (150)

  8. Treating k0 = π∕L as dimensionless when x carries units. A spatial wavenumber has units of inverse length.
  9. Confusing the harmonic number n with the physical wavenumber kn.
  10. Assuming convergence at discontinuities before the convergence theory of FS14–FS16 has been developed.

24 Practice exercises

  1. Map [−3, 3] to [−π,π] by defining an appropriate dimensionless variable 𝜃.
  2. For a function of period 10 m in space, find L, k0, k2, and k5.
  3. Prove by substitution that
    ∫ L    (     )    (     )
    cos  2πx-  cos  5πx-  dx =  0.
 −L       L          L
    (151)

  4. Evaluate
    ∫ L     (     )
    sin2  4πx-  dx.
 − L       L
    (152)

  5. Derive the normalized constant basis function on [−L,L].
  6. Derive the normalized third cosine harmonic on [−L,L].
  7. For f(x) = x on [−2, 2], calculate b1, b2, and b3.
  8. For f(x) = x2 on [−2, 2], calculate a 0, a1, and a2.
  9. For the centered pulse in Equation (109), set A = 3, L = 4, and d = 1. Find the mean and the first four cosine coefficients.
  10. Show explicitly that the general ramp coefficient reduces to the FS05 result when L = π.
  11. A time signal has period T = 8 s. Find ω0, ω3, and the coefficient prefactor appearing in the centered-period formulas.
  12. Explain the difference between the statements “the interval is [−L,L]” and “the period is 2L.”

25 What FS06 has added

The Fourier formulas from FS04 and FS05 were not special formulas tied to the number π. They were projection formulas written on a convenient reference interval.

The rescaling

    πx
𝜃 = ---
     L
(153)

shows how the entire construction moves to any centered interval of length 2L.

The basis changes from

cos(nx ), sin(nx )
(154)

to

   ( nπx-)         ( nπx-)
cos   L    ,    sin   L    ,
(155)

while the nonconstant basis norm squared changes from π to L.

That one scaling change explains the coefficient prefactor 1∕L.

PIC

Figure 8. FS06 completes the general coefficient machinery. FS07 will use it on a discontinuous square wave and watch the harmonic partial sums build an actual nonsinusoidal periodic waveform.

26 Summary

For a function with period 2L, the fundamental wavenumber is

     π-
k0 = L .
(156)

The harmonic basis is

cos(nk0x ),    sin(nk0x).
(157)

On [−L,L],

∫
  L    ( nπx-)    ( m-πx-)
    cos   L    cos   L    dx =  Lδmn,
 −L
(158)

∫ L    ( nπx )    ( mπx )
    sin  ----  sin   ----- dx =  Lδmn,
 − L      L          L
(159)

and mixed sine-cosine inner products vanish.

Therefore

       ∫
     1-   L
a0 = L     f (x)dx,
         −L
(160)

      1 ∫ L         ( nπx )
an =  --    f(x )cos  ----  dx,
      L  − L           L
(161)

and

       ∫
     1-  L         ( nπx-)
bn = L     f(x )sin    L    dx.
        − L
(162)

The actual mean or DC term is

a      1 ∫ L
--0=  ---    f (x )dx.
 2    2L  − L
(163)

For a time signal centered on [−T∕2,T∕2], replace the mathematical half-interval L by T∕2. The same structure is then written using

      2π-
ω0 =  T .
(164)

FS07 will now apply these formulas to the first complete nonsinusoidal waveform: the square wave.

References

[1]   R. V. Churchill and J. W. Brown, Fourier Series and Boundary Value Problems, McGraw-Hill.

[2]   E. Kreyszig, Advanced Engineering Mathematics, Wiley.

[3]   R. Haberman, Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, Pearson.

[4]   G. B. Arfken, H. J. Weber, and F. E. Harris, Mathematical Methods for Physicists, Academic Press.


"Fourier Series on a General Interval" is owned by bloftin.
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Other names:  FS06
Also defines:  general-interval Fourier series, scaled trigonometric basis, fundamental wavenumber, general-interval Fourier coefficients, normalized Fourier basis on a general interval, period-length mapping % pacs:02.30.Nw, pacs:02.30.Lt
Keywords:  Fourier series, general interval, scaled basis, interval length, period, fundamental wavenumber, Fourier coefficients, orthogonality, rescaling, change of variables

Cross-references: periodic, partial sums, square wave, FS07, harmonic number, relations, periodic function, dimensions, parity, unit, operations, theorem, projection coefficients, norms, FS03, inner products, periodicity, Wavenumber, angular frequency, frequencies, harmonic, phase, period, functions, formulas, complete real Fourier coefficient set, FS05, FS04
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This is version 1 of Fourier Series on a General Interval, born on 2026-11-05.
Object id is 1568, canonical name is FourierSeriesOnAGeneralInterval.
Accessed 3 times total.

Classification:
Physics Classification: 02.30.Nw (Fourier analysis)
 02.30.Lt (Sequences, series, and summability)

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