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[parent] uncertainty by waves (Derivation)

We will find the Fourier transform

F(ω) := √-1--
  2π −∞f(t)eiωt dt (1)

of the Gaussian bell-shaped function

f(t) = Ceat2 , (2)

where C and a are positive constants.

We first obtain

             ∫                         ∫
        --1--   ∞    −at2 − iωt     --C--   ∞  −at2−iωt
F (ω) = √ ---     Ce    e    dt = √ ---     e        dt.
          2π   −∞                   2π   −∞

Completing the square gives

                 (     iωt)       (     iω)2    ω2
− at2 − iωt = − a t2 + ----  = − a  t + ---   − ---.
                        a               2a      4a

With the substitution

     √ -(       )
z :=   a  t + iω- ,
              2a

we may write

F(ω) = √C---
  2π −∞ea(t+i2ωa)2 eω42a dt
=   C
√-----
  2πaeω2
4a lez2 dz, (3)

where l is a line in the complex plane parallel to the real axis and passing through the point

     iω
z = -√---.
    2  a

Now define

     ∫           ∫  ∞
I :=    e−z2 dz =     e−(x+iy)2 dx.
 y     l           −∞

We can show that Iy does not depend on y. Indeed,

∂Iy-
 ∂y = −∞-∂-
∂ye(x+iy)2 dx
= 2i −∞e(x+iy)2 (x + iy) dx
= i[        ]
 e−(x+iy)2x=−∞x=
= 0. (4)

Hence

          ∫  ∞           √ --
Iy = I0 =      e−x2 dx =   π.
            −∞

Substituting this result into (3) gives

F(ω) = √C---
  2aeω42a . (5)

Thus the Fourier transform of the Gaussian in (2) is another Gaussian.

Interpretation. One can take the breadth of the bell to be the portion of the abscissa axis outside which the ordinate drops below the maximum value divided by e. For the Gaussian in (2),

Ce −at2 = Ce− 1,

so

t = √1-.
      a

By the evenness of the function, the breadth is

Δt =  √2-.
        a

Similarly, from (5), the breadth of the transformed bell is

       √ --
Δ ω = 4  a.

Therefore,

Δt Δω = 8. (6)

Thus, for this choice of breadth convention, the product has a constant value. More generally, other choices of pulse shape and width measure lead to analogous inverse relations between temporal width and frequency width. The two breadths are therefore inversely proportional in this sense.

If t is time and f is the action of a force on a system of oscillators with their natural frequencies, then the inverse Fourier transform is

            ∫
         1     ∞       iωt
f (t) = √----     F (ω)e   dω.
         2π   −∞

In this representation, F(ω) describes the frequency-domain amplitude associated with angular frequency ω. Equation (6) illustrates that a more localized action in time, corresponding to a smaller Δt, requires a broader frequency spectrum, corresponding to a larger Δω. Conversely, obtaining greater frequency selectivity requires the action to be spread over a longer interval of time.

This time-frequency tradeoff is closely related to the mathematical structure underlying the quantum-mechanical uncertainty principle, also historically called a principle of indetermination.

References

[1]   Ya. B. Zel’dovich and A. D. Myshkis, Elementy prikladnoi matematiki (Elements of Applied Mathematics), Nauka Publishers, Moscow, 1976.

[2]   Ya. B. Zel’dovich and A. D. Myshkis, Elements of Applied Mathematics, Nauka (Science) Publishers, Moscow, 1976.


"uncertainty by waves" is owned by pahio. [ full author list (3) ]
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See Also: Heisenberg uncertainty principle

Other names:  Principle of Indetermination
Also defines:  quantum principle of indetermination, quantum uncertainty principle

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Cross-references: spectrum, representation, system, relations, square, function, Fourier transform
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This is version 10 of uncertainty by waves, born on 2009-01-09, modified 2026-09-07.
Object id is 359, canonical name is Something20related20to20Heisenberg20uncertainty20principle.
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Classification:
Physics Classification02.30.Nw (Fourier analysis)
 02.30.Uu (Integral transforms)
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