Page 60 - Maxwell House
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40                                                                 Chapter 1

        is called the in-phase   () and quadrature   ()  component, respectively. We  will show
                                          
        bellow that Fourier transform of Maxwell’s equations, as we will prove late, makes them time
        independent and much easier to solve.
        In case of periodic signals on the domain [−, ] the Fourier transform (1.78) can be written as
        a linear combination of phasors or exponents

                                       () = ∑ ∞     0               (1.81)
                                                    
                                               =−∞
        Here  = 2  is called the fundamental angular frequency, T is the fundamental period of
                    ⁄
              0
        signal, and
                                           1    − 0 
                                         =  ∫ ()                   (1.82)
                                       
                                          2 −
        is the component of the discrete complex spectrum. The Fourier transform (1.78) can be viewed
        as the limit of Fourier series with fundamental period extended to (−∞, ∞) and can be applied
        to a wider variety of functions. That is why we prefer to use it in our following analysis.
        French mathematician Jean Baptiste Joseph Fourier in 1807 presented his great discovery, later
        called by  his  name, at the  meeting of the  French  Academy but it  was rejected  with  a
                                       12
        recommendation to continue the work.  Harmonic series representations similar to (1.81) had
        a long history back to Old Babylonian times (2000-1600 B.C.) and was used to compute tables
        of planetary positions. The connection between mathematics and music goes back at least as
        far as the sixth century B.C. when it was discovered the relationship between numbers and
        sound. All musical tuning systems are based on this discovery. Fourier analysis lets identify
        naturally occurring harmonics (which are, simply put, the basis of all musical composition), to
        model sound, and break up sound into the pieces that define it. It is quite sad to think that the
        genius music of Mozart is the set of Fourier harmonics, but that is the fact. A little bit more
        complicated Fourier  series can  “describe” any of  Rembrandt’s or Michelangelo’s artwork,
        Freedom Tower in New York or the marvelous Gothic style Cathedral of Saint Mary of the
        Flower in Florence, Italy.
        Before applying (1.78) or (1.81) to Maxwell’s House note that mainly invisible EM fields can
        be detected through the measurements associated with the energy transfer from EM fields to
        test instrument. However, the vast majority of such instruments are not designed to be fast
        enough and be capable of measuring an instantaneous waveform of signals. For example, the
        frequency of quite moderate 1 GHz signal must involve more than 1,000,000,000 measurements
        per second! Only several companies in the world produce the instruments for such kind of
        measurement, and they are very complicated, costly and not broadly available. The common
        go-around is the measurement of the time-averaged or mean-square volumes. For example, the
        averaged energy of the monochromatic or single frequency harmonic signal is defined as [16]
                                                
                                                      2
                                         2
                                        〈() 〉 ≝  1  ∫ ()             (1.83)
                                             2 −
        Applying (1.83) to the in-phase and quadrature component from (1.80) we have


        12  The first English translation of his works was published in 1878 only! More than 20 years later.
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