Do square wave exist? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)Why isn't the Fourier transform of a single sine wave cycle a single bar?How electromagnetic waves works, how they are created and how thay transform to electric signal?Can an alternating magnetic field be “informationally” shielded?square and triangle wave as a sum of sine waveEnergies carried by electric and magnetic fields in plane wavesEnergies of the fields in a plane wave, attenuated and unattenuatedAntenna transmission when a generic signal is appliedAbility of a 100km power transmission line to radiate 50Hz EM waves?Can antennas be viewed as light sources?Impedance calculation from voltage and current (exponential) waveforms

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Do square wave exist?



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)Why isn't the Fourier transform of a single sine wave cycle a single bar?How electromagnetic waves works, how they are created and how thay transform to electric signal?Can an alternating magnetic field be “informationally” shielded?square and triangle wave as a sum of sine waveEnergies carried by electric and magnetic fields in plane wavesEnergies of the fields in a plane wave, attenuated and unattenuatedAntenna transmission when a generic signal is appliedAbility of a 100km power transmission line to radiate 50Hz EM waves?Can antennas be viewed as light sources?Impedance calculation from voltage and current (exponential) waveforms



.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








10












$begingroup$


If we send a square waveform through an antenna, will we get square electromagnetic waves with electric and magnetic fields looking like squares?
Also, since there is an abrupt/almost jump in amplitude, will we get very high frequency sine waves like predicted by the Fourier transform?










share|improve this question











$endgroup$







  • 8




    $begingroup$
    A perfect square wave (0 rise / fall times) does not exist because it would require infinite bandwidth.
    $endgroup$
    – Peter Smith
    2 days ago






  • 2




    $begingroup$
    antennas have finite bandwidth
    $endgroup$
    – analogsystemsrf
    2 days ago






  • 2




    $begingroup$
    Infinite bandwidth and zero impedance
    $endgroup$
    – JonRB
    2 days ago










  • $begingroup$
    If the electric field is a close-to-ideal square wave, won't the magnetic field be more like a series of positive and negative spikes?
    $endgroup$
    – immibis
    2 days ago


















10












$begingroup$


If we send a square waveform through an antenna, will we get square electromagnetic waves with electric and magnetic fields looking like squares?
Also, since there is an abrupt/almost jump in amplitude, will we get very high frequency sine waves like predicted by the Fourier transform?










share|improve this question











$endgroup$







  • 8




    $begingroup$
    A perfect square wave (0 rise / fall times) does not exist because it would require infinite bandwidth.
    $endgroup$
    – Peter Smith
    2 days ago






  • 2




    $begingroup$
    antennas have finite bandwidth
    $endgroup$
    – analogsystemsrf
    2 days ago






  • 2




    $begingroup$
    Infinite bandwidth and zero impedance
    $endgroup$
    – JonRB
    2 days ago










  • $begingroup$
    If the electric field is a close-to-ideal square wave, won't the magnetic field be more like a series of positive and negative spikes?
    $endgroup$
    – immibis
    2 days ago














10












10








10


1



$begingroup$


If we send a square waveform through an antenna, will we get square electromagnetic waves with electric and magnetic fields looking like squares?
Also, since there is an abrupt/almost jump in amplitude, will we get very high frequency sine waves like predicted by the Fourier transform?










share|improve this question











$endgroup$




If we send a square waveform through an antenna, will we get square electromagnetic waves with electric and magnetic fields looking like squares?
Also, since there is an abrupt/almost jump in amplitude, will we get very high frequency sine waves like predicted by the Fourier transform?







antenna electromagnetic fourier math-notation






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited 2 days ago









evildemonic

2,7811023




2,7811023










asked 2 days ago









user163416user163416

12339




12339







  • 8




    $begingroup$
    A perfect square wave (0 rise / fall times) does not exist because it would require infinite bandwidth.
    $endgroup$
    – Peter Smith
    2 days ago






  • 2




    $begingroup$
    antennas have finite bandwidth
    $endgroup$
    – analogsystemsrf
    2 days ago






  • 2




    $begingroup$
    Infinite bandwidth and zero impedance
    $endgroup$
    – JonRB
    2 days ago










  • $begingroup$
    If the electric field is a close-to-ideal square wave, won't the magnetic field be more like a series of positive and negative spikes?
    $endgroup$
    – immibis
    2 days ago













  • 8




    $begingroup$
    A perfect square wave (0 rise / fall times) does not exist because it would require infinite bandwidth.
    $endgroup$
    – Peter Smith
    2 days ago






  • 2




    $begingroup$
    antennas have finite bandwidth
    $endgroup$
    – analogsystemsrf
    2 days ago






  • 2




    $begingroup$
    Infinite bandwidth and zero impedance
    $endgroup$
    – JonRB
    2 days ago










  • $begingroup$
    If the electric field is a close-to-ideal square wave, won't the magnetic field be more like a series of positive and negative spikes?
    $endgroup$
    – immibis
    2 days ago








8




8




$begingroup$
A perfect square wave (0 rise / fall times) does not exist because it would require infinite bandwidth.
$endgroup$
– Peter Smith
2 days ago




$begingroup$
A perfect square wave (0 rise / fall times) does not exist because it would require infinite bandwidth.
$endgroup$
– Peter Smith
2 days ago




2




2




$begingroup$
antennas have finite bandwidth
$endgroup$
– analogsystemsrf
2 days ago




$begingroup$
antennas have finite bandwidth
$endgroup$
– analogsystemsrf
2 days ago




2




2




$begingroup$
Infinite bandwidth and zero impedance
$endgroup$
– JonRB
2 days ago




$begingroup$
Infinite bandwidth and zero impedance
$endgroup$
– JonRB
2 days ago












$begingroup$
If the electric field is a close-to-ideal square wave, won't the magnetic field be more like a series of positive and negative spikes?
$endgroup$
– immibis
2 days ago





$begingroup$
If the electric field is a close-to-ideal square wave, won't the magnetic field be more like a series of positive and negative spikes?
$endgroup$
– immibis
2 days ago











3 Answers
3






active

oldest

votes


















18












$begingroup$

As you know (since you mentioned the Fourier transform), a square wave can be represented (well, almost -- see below) as the sum of an infinite series of sine waves. But it would not be possible to send a true square wave through any real physical antenna: As you move along the infinite series, the frequencies get higher and higher, and eventually you'll reach frequencies your antenna can't transmit, for various reasons. If you look at a chart of the electromagnetic spectrum, you will find that radio waves above a certain frequency are called "light", and your antenna probably can't reach those frequencies no matter how good it is.



(But, indeed, if you have an antenna that is capable of transmitting over a wide bandwidth -- that is, from very low to very high frequencies -- and you send some approximation of a square wave over it, you will see very high frequencies appear, just as predicted by the Fourier transform.)



There's also another problem: You can't quite actually approach a true square wave shape from any finite sum of sine waves, no matter how many. This problem is much more theoretical, and unlikely to actually come up in practice, but it's called the Gibbs phenomenon. It turns out that no matter how high in frequency you go, your approximation of a square wave will always overshoot at the big jumps from low to high and high to low. The overshoot will get shorter and shorter in time, the better your approximation (the higher in frequency you go.) But it will never go down in magnitude; it converges to about 9% of the size of the jump.






share|improve this answer











$endgroup$








  • 14




    $begingroup$
    You should rather say you can't actually make a true square wave from a finite sum of sine waves. From an infinite sum, you can. If you take the limit, the overshoot vanishes as you can see with an epsilon-delta-argument.
    $endgroup$
    – DerManu
    2 days ago






  • 3




    $begingroup$
    The Fourier series for a square wave does converge to a square wave, but it fails to converge uniformly to a square wave, because if you take finitely many (say, a trillion) terms of the series, it will still overshoot by about 9%. (Actually, no series of continuous functions converges uniformly to a square wave, since a square wave is not continuous. Still, the Fourier series is particularly problematic; there are other series which don't overshoot like that.)
    $endgroup$
    – Tanner Swett
    2 days ago






  • 4




    $begingroup$
    The sum converges pointwise to the square wave everywhere except at the transitions where it converges to the average of the left & right limits. The overshoot never vanishes, as the convergence is not uniform.
    $endgroup$
    – copper.hat
    2 days ago






  • 1




    $begingroup$
    @copper.hat: I recall reading that Foorier himself was rather unhappy with the fact that the amplitude of overshoot did not asymptotically approach zero as the number of terms increased. The fraction of the domain for which the function isn't within any particular epsilon of the correct value, however, does approach zero as the number of terms increases.
    $endgroup$
    – supercat
    2 days ago






  • 3




    $begingroup$
    Technically, any antenna will emit light if you get it hot enough
    $endgroup$
    – Nate Strickland
    2 days ago


















5












$begingroup$

No, perfect mathematical square waves don't exist in real world because square wave is not a continuous function (it does not have a derivative at the step). Therefore you can only approximate a square wave and the approximation does have very high frequencies, and at some point the antenna would not be able to send these so it would be a low-pass filter.






share|improve this answer









$endgroup$








  • 2




    $begingroup$
    Continuous functions don't exist in the real world either, because of quantum effects.
    $endgroup$
    – supercat
    2 days ago






  • 2




    $begingroup$
    Also the logic that "it does not have a derivative at the step" does not mean that the function is not continuous. Not differentiable does not imply not continuous. That being said, the function is not continuous since the one sided limits at the step don't agree.
    $endgroup$
    – Sean Haight
    2 days ago



















4












$begingroup$

In a more general case compared to the answers above, nothing can be stoped or started in zero time ie instantly. To do so would imply an infinitely high frequency component which would translate to infinite energy. The constraining factors are speed of light limitation of Special Relativity and Quantum Mechanics Uncertainty Principle.



The sharper the transition you want, the more energy you have to pump into the system






share|improve this answer









$endgroup$













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    3 Answers
    3






    active

    oldest

    votes








    3 Answers
    3






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    18












    $begingroup$

    As you know (since you mentioned the Fourier transform), a square wave can be represented (well, almost -- see below) as the sum of an infinite series of sine waves. But it would not be possible to send a true square wave through any real physical antenna: As you move along the infinite series, the frequencies get higher and higher, and eventually you'll reach frequencies your antenna can't transmit, for various reasons. If you look at a chart of the electromagnetic spectrum, you will find that radio waves above a certain frequency are called "light", and your antenna probably can't reach those frequencies no matter how good it is.



    (But, indeed, if you have an antenna that is capable of transmitting over a wide bandwidth -- that is, from very low to very high frequencies -- and you send some approximation of a square wave over it, you will see very high frequencies appear, just as predicted by the Fourier transform.)



    There's also another problem: You can't quite actually approach a true square wave shape from any finite sum of sine waves, no matter how many. This problem is much more theoretical, and unlikely to actually come up in practice, but it's called the Gibbs phenomenon. It turns out that no matter how high in frequency you go, your approximation of a square wave will always overshoot at the big jumps from low to high and high to low. The overshoot will get shorter and shorter in time, the better your approximation (the higher in frequency you go.) But it will never go down in magnitude; it converges to about 9% of the size of the jump.






    share|improve this answer











    $endgroup$








    • 14




      $begingroup$
      You should rather say you can't actually make a true square wave from a finite sum of sine waves. From an infinite sum, you can. If you take the limit, the overshoot vanishes as you can see with an epsilon-delta-argument.
      $endgroup$
      – DerManu
      2 days ago






    • 3




      $begingroup$
      The Fourier series for a square wave does converge to a square wave, but it fails to converge uniformly to a square wave, because if you take finitely many (say, a trillion) terms of the series, it will still overshoot by about 9%. (Actually, no series of continuous functions converges uniformly to a square wave, since a square wave is not continuous. Still, the Fourier series is particularly problematic; there are other series which don't overshoot like that.)
      $endgroup$
      – Tanner Swett
      2 days ago






    • 4




      $begingroup$
      The sum converges pointwise to the square wave everywhere except at the transitions where it converges to the average of the left & right limits. The overshoot never vanishes, as the convergence is not uniform.
      $endgroup$
      – copper.hat
      2 days ago






    • 1




      $begingroup$
      @copper.hat: I recall reading that Foorier himself was rather unhappy with the fact that the amplitude of overshoot did not asymptotically approach zero as the number of terms increased. The fraction of the domain for which the function isn't within any particular epsilon of the correct value, however, does approach zero as the number of terms increases.
      $endgroup$
      – supercat
      2 days ago






    • 3




      $begingroup$
      Technically, any antenna will emit light if you get it hot enough
      $endgroup$
      – Nate Strickland
      2 days ago















    18












    $begingroup$

    As you know (since you mentioned the Fourier transform), a square wave can be represented (well, almost -- see below) as the sum of an infinite series of sine waves. But it would not be possible to send a true square wave through any real physical antenna: As you move along the infinite series, the frequencies get higher and higher, and eventually you'll reach frequencies your antenna can't transmit, for various reasons. If you look at a chart of the electromagnetic spectrum, you will find that radio waves above a certain frequency are called "light", and your antenna probably can't reach those frequencies no matter how good it is.



    (But, indeed, if you have an antenna that is capable of transmitting over a wide bandwidth -- that is, from very low to very high frequencies -- and you send some approximation of a square wave over it, you will see very high frequencies appear, just as predicted by the Fourier transform.)



    There's also another problem: You can't quite actually approach a true square wave shape from any finite sum of sine waves, no matter how many. This problem is much more theoretical, and unlikely to actually come up in practice, but it's called the Gibbs phenomenon. It turns out that no matter how high in frequency you go, your approximation of a square wave will always overshoot at the big jumps from low to high and high to low. The overshoot will get shorter and shorter in time, the better your approximation (the higher in frequency you go.) But it will never go down in magnitude; it converges to about 9% of the size of the jump.






    share|improve this answer











    $endgroup$








    • 14




      $begingroup$
      You should rather say you can't actually make a true square wave from a finite sum of sine waves. From an infinite sum, you can. If you take the limit, the overshoot vanishes as you can see with an epsilon-delta-argument.
      $endgroup$
      – DerManu
      2 days ago






    • 3




      $begingroup$
      The Fourier series for a square wave does converge to a square wave, but it fails to converge uniformly to a square wave, because if you take finitely many (say, a trillion) terms of the series, it will still overshoot by about 9%. (Actually, no series of continuous functions converges uniformly to a square wave, since a square wave is not continuous. Still, the Fourier series is particularly problematic; there are other series which don't overshoot like that.)
      $endgroup$
      – Tanner Swett
      2 days ago






    • 4




      $begingroup$
      The sum converges pointwise to the square wave everywhere except at the transitions where it converges to the average of the left & right limits. The overshoot never vanishes, as the convergence is not uniform.
      $endgroup$
      – copper.hat
      2 days ago






    • 1




      $begingroup$
      @copper.hat: I recall reading that Foorier himself was rather unhappy with the fact that the amplitude of overshoot did not asymptotically approach zero as the number of terms increased. The fraction of the domain for which the function isn't within any particular epsilon of the correct value, however, does approach zero as the number of terms increases.
      $endgroup$
      – supercat
      2 days ago






    • 3




      $begingroup$
      Technically, any antenna will emit light if you get it hot enough
      $endgroup$
      – Nate Strickland
      2 days ago













    18












    18








    18





    $begingroup$

    As you know (since you mentioned the Fourier transform), a square wave can be represented (well, almost -- see below) as the sum of an infinite series of sine waves. But it would not be possible to send a true square wave through any real physical antenna: As you move along the infinite series, the frequencies get higher and higher, and eventually you'll reach frequencies your antenna can't transmit, for various reasons. If you look at a chart of the electromagnetic spectrum, you will find that radio waves above a certain frequency are called "light", and your antenna probably can't reach those frequencies no matter how good it is.



    (But, indeed, if you have an antenna that is capable of transmitting over a wide bandwidth -- that is, from very low to very high frequencies -- and you send some approximation of a square wave over it, you will see very high frequencies appear, just as predicted by the Fourier transform.)



    There's also another problem: You can't quite actually approach a true square wave shape from any finite sum of sine waves, no matter how many. This problem is much more theoretical, and unlikely to actually come up in practice, but it's called the Gibbs phenomenon. It turns out that no matter how high in frequency you go, your approximation of a square wave will always overshoot at the big jumps from low to high and high to low. The overshoot will get shorter and shorter in time, the better your approximation (the higher in frequency you go.) But it will never go down in magnitude; it converges to about 9% of the size of the jump.






    share|improve this answer











    $endgroup$



    As you know (since you mentioned the Fourier transform), a square wave can be represented (well, almost -- see below) as the sum of an infinite series of sine waves. But it would not be possible to send a true square wave through any real physical antenna: As you move along the infinite series, the frequencies get higher and higher, and eventually you'll reach frequencies your antenna can't transmit, for various reasons. If you look at a chart of the electromagnetic spectrum, you will find that radio waves above a certain frequency are called "light", and your antenna probably can't reach those frequencies no matter how good it is.



    (But, indeed, if you have an antenna that is capable of transmitting over a wide bandwidth -- that is, from very low to very high frequencies -- and you send some approximation of a square wave over it, you will see very high frequencies appear, just as predicted by the Fourier transform.)



    There's also another problem: You can't quite actually approach a true square wave shape from any finite sum of sine waves, no matter how many. This problem is much more theoretical, and unlikely to actually come up in practice, but it's called the Gibbs phenomenon. It turns out that no matter how high in frequency you go, your approximation of a square wave will always overshoot at the big jumps from low to high and high to low. The overshoot will get shorter and shorter in time, the better your approximation (the higher in frequency you go.) But it will never go down in magnitude; it converges to about 9% of the size of the jump.







    share|improve this answer














    share|improve this answer



    share|improve this answer








    edited 2 days ago

























    answered 2 days ago









    Glenn WillenGlenn Willen

    885211




    885211







    • 14




      $begingroup$
      You should rather say you can't actually make a true square wave from a finite sum of sine waves. From an infinite sum, you can. If you take the limit, the overshoot vanishes as you can see with an epsilon-delta-argument.
      $endgroup$
      – DerManu
      2 days ago






    • 3




      $begingroup$
      The Fourier series for a square wave does converge to a square wave, but it fails to converge uniformly to a square wave, because if you take finitely many (say, a trillion) terms of the series, it will still overshoot by about 9%. (Actually, no series of continuous functions converges uniformly to a square wave, since a square wave is not continuous. Still, the Fourier series is particularly problematic; there are other series which don't overshoot like that.)
      $endgroup$
      – Tanner Swett
      2 days ago






    • 4




      $begingroup$
      The sum converges pointwise to the square wave everywhere except at the transitions where it converges to the average of the left & right limits. The overshoot never vanishes, as the convergence is not uniform.
      $endgroup$
      – copper.hat
      2 days ago






    • 1




      $begingroup$
      @copper.hat: I recall reading that Foorier himself was rather unhappy with the fact that the amplitude of overshoot did not asymptotically approach zero as the number of terms increased. The fraction of the domain for which the function isn't within any particular epsilon of the correct value, however, does approach zero as the number of terms increases.
      $endgroup$
      – supercat
      2 days ago






    • 3




      $begingroup$
      Technically, any antenna will emit light if you get it hot enough
      $endgroup$
      – Nate Strickland
      2 days ago












    • 14




      $begingroup$
      You should rather say you can't actually make a true square wave from a finite sum of sine waves. From an infinite sum, you can. If you take the limit, the overshoot vanishes as you can see with an epsilon-delta-argument.
      $endgroup$
      – DerManu
      2 days ago






    • 3




      $begingroup$
      The Fourier series for a square wave does converge to a square wave, but it fails to converge uniformly to a square wave, because if you take finitely many (say, a trillion) terms of the series, it will still overshoot by about 9%. (Actually, no series of continuous functions converges uniformly to a square wave, since a square wave is not continuous. Still, the Fourier series is particularly problematic; there are other series which don't overshoot like that.)
      $endgroup$
      – Tanner Swett
      2 days ago






    • 4




      $begingroup$
      The sum converges pointwise to the square wave everywhere except at the transitions where it converges to the average of the left & right limits. The overshoot never vanishes, as the convergence is not uniform.
      $endgroup$
      – copper.hat
      2 days ago






    • 1




      $begingroup$
      @copper.hat: I recall reading that Foorier himself was rather unhappy with the fact that the amplitude of overshoot did not asymptotically approach zero as the number of terms increased. The fraction of the domain for which the function isn't within any particular epsilon of the correct value, however, does approach zero as the number of terms increases.
      $endgroup$
      – supercat
      2 days ago






    • 3




      $begingroup$
      Technically, any antenna will emit light if you get it hot enough
      $endgroup$
      – Nate Strickland
      2 days ago







    14




    14




    $begingroup$
    You should rather say you can't actually make a true square wave from a finite sum of sine waves. From an infinite sum, you can. If you take the limit, the overshoot vanishes as you can see with an epsilon-delta-argument.
    $endgroup$
    – DerManu
    2 days ago




    $begingroup$
    You should rather say you can't actually make a true square wave from a finite sum of sine waves. From an infinite sum, you can. If you take the limit, the overshoot vanishes as you can see with an epsilon-delta-argument.
    $endgroup$
    – DerManu
    2 days ago




    3




    3




    $begingroup$
    The Fourier series for a square wave does converge to a square wave, but it fails to converge uniformly to a square wave, because if you take finitely many (say, a trillion) terms of the series, it will still overshoot by about 9%. (Actually, no series of continuous functions converges uniformly to a square wave, since a square wave is not continuous. Still, the Fourier series is particularly problematic; there are other series which don't overshoot like that.)
    $endgroup$
    – Tanner Swett
    2 days ago




    $begingroup$
    The Fourier series for a square wave does converge to a square wave, but it fails to converge uniformly to a square wave, because if you take finitely many (say, a trillion) terms of the series, it will still overshoot by about 9%. (Actually, no series of continuous functions converges uniformly to a square wave, since a square wave is not continuous. Still, the Fourier series is particularly problematic; there are other series which don't overshoot like that.)
    $endgroup$
    – Tanner Swett
    2 days ago




    4




    4




    $begingroup$
    The sum converges pointwise to the square wave everywhere except at the transitions where it converges to the average of the left & right limits. The overshoot never vanishes, as the convergence is not uniform.
    $endgroup$
    – copper.hat
    2 days ago




    $begingroup$
    The sum converges pointwise to the square wave everywhere except at the transitions where it converges to the average of the left & right limits. The overshoot never vanishes, as the convergence is not uniform.
    $endgroup$
    – copper.hat
    2 days ago




    1




    1




    $begingroup$
    @copper.hat: I recall reading that Foorier himself was rather unhappy with the fact that the amplitude of overshoot did not asymptotically approach zero as the number of terms increased. The fraction of the domain for which the function isn't within any particular epsilon of the correct value, however, does approach zero as the number of terms increases.
    $endgroup$
    – supercat
    2 days ago




    $begingroup$
    @copper.hat: I recall reading that Foorier himself was rather unhappy with the fact that the amplitude of overshoot did not asymptotically approach zero as the number of terms increased. The fraction of the domain for which the function isn't within any particular epsilon of the correct value, however, does approach zero as the number of terms increases.
    $endgroup$
    – supercat
    2 days ago




    3




    3




    $begingroup$
    Technically, any antenna will emit light if you get it hot enough
    $endgroup$
    – Nate Strickland
    2 days ago




    $begingroup$
    Technically, any antenna will emit light if you get it hot enough
    $endgroup$
    – Nate Strickland
    2 days ago













    5












    $begingroup$

    No, perfect mathematical square waves don't exist in real world because square wave is not a continuous function (it does not have a derivative at the step). Therefore you can only approximate a square wave and the approximation does have very high frequencies, and at some point the antenna would not be able to send these so it would be a low-pass filter.






    share|improve this answer









    $endgroup$








    • 2




      $begingroup$
      Continuous functions don't exist in the real world either, because of quantum effects.
      $endgroup$
      – supercat
      2 days ago






    • 2




      $begingroup$
      Also the logic that "it does not have a derivative at the step" does not mean that the function is not continuous. Not differentiable does not imply not continuous. That being said, the function is not continuous since the one sided limits at the step don't agree.
      $endgroup$
      – Sean Haight
      2 days ago
















    5












    $begingroup$

    No, perfect mathematical square waves don't exist in real world because square wave is not a continuous function (it does not have a derivative at the step). Therefore you can only approximate a square wave and the approximation does have very high frequencies, and at some point the antenna would not be able to send these so it would be a low-pass filter.






    share|improve this answer









    $endgroup$








    • 2




      $begingroup$
      Continuous functions don't exist in the real world either, because of quantum effects.
      $endgroup$
      – supercat
      2 days ago






    • 2




      $begingroup$
      Also the logic that "it does not have a derivative at the step" does not mean that the function is not continuous. Not differentiable does not imply not continuous. That being said, the function is not continuous since the one sided limits at the step don't agree.
      $endgroup$
      – Sean Haight
      2 days ago














    5












    5








    5





    $begingroup$

    No, perfect mathematical square waves don't exist in real world because square wave is not a continuous function (it does not have a derivative at the step). Therefore you can only approximate a square wave and the approximation does have very high frequencies, and at some point the antenna would not be able to send these so it would be a low-pass filter.






    share|improve this answer









    $endgroup$



    No, perfect mathematical square waves don't exist in real world because square wave is not a continuous function (it does not have a derivative at the step). Therefore you can only approximate a square wave and the approximation does have very high frequencies, and at some point the antenna would not be able to send these so it would be a low-pass filter.







    share|improve this answer












    share|improve this answer



    share|improve this answer










    answered 2 days ago









    JustmeJustme

    2,5411413




    2,5411413







    • 2




      $begingroup$
      Continuous functions don't exist in the real world either, because of quantum effects.
      $endgroup$
      – supercat
      2 days ago






    • 2




      $begingroup$
      Also the logic that "it does not have a derivative at the step" does not mean that the function is not continuous. Not differentiable does not imply not continuous. That being said, the function is not continuous since the one sided limits at the step don't agree.
      $endgroup$
      – Sean Haight
      2 days ago













    • 2




      $begingroup$
      Continuous functions don't exist in the real world either, because of quantum effects.
      $endgroup$
      – supercat
      2 days ago






    • 2




      $begingroup$
      Also the logic that "it does not have a derivative at the step" does not mean that the function is not continuous. Not differentiable does not imply not continuous. That being said, the function is not continuous since the one sided limits at the step don't agree.
      $endgroup$
      – Sean Haight
      2 days ago








    2




    2




    $begingroup$
    Continuous functions don't exist in the real world either, because of quantum effects.
    $endgroup$
    – supercat
    2 days ago




    $begingroup$
    Continuous functions don't exist in the real world either, because of quantum effects.
    $endgroup$
    – supercat
    2 days ago




    2




    2




    $begingroup$
    Also the logic that "it does not have a derivative at the step" does not mean that the function is not continuous. Not differentiable does not imply not continuous. That being said, the function is not continuous since the one sided limits at the step don't agree.
    $endgroup$
    – Sean Haight
    2 days ago





    $begingroup$
    Also the logic that "it does not have a derivative at the step" does not mean that the function is not continuous. Not differentiable does not imply not continuous. That being said, the function is not continuous since the one sided limits at the step don't agree.
    $endgroup$
    – Sean Haight
    2 days ago












    4












    $begingroup$

    In a more general case compared to the answers above, nothing can be stoped or started in zero time ie instantly. To do so would imply an infinitely high frequency component which would translate to infinite energy. The constraining factors are speed of light limitation of Special Relativity and Quantum Mechanics Uncertainty Principle.



    The sharper the transition you want, the more energy you have to pump into the system






    share|improve this answer









    $endgroup$

















      4












      $begingroup$

      In a more general case compared to the answers above, nothing can be stoped or started in zero time ie instantly. To do so would imply an infinitely high frequency component which would translate to infinite energy. The constraining factors are speed of light limitation of Special Relativity and Quantum Mechanics Uncertainty Principle.



      The sharper the transition you want, the more energy you have to pump into the system






      share|improve this answer









      $endgroup$















        4












        4








        4





        $begingroup$

        In a more general case compared to the answers above, nothing can be stoped or started in zero time ie instantly. To do so would imply an infinitely high frequency component which would translate to infinite energy. The constraining factors are speed of light limitation of Special Relativity and Quantum Mechanics Uncertainty Principle.



        The sharper the transition you want, the more energy you have to pump into the system






        share|improve this answer









        $endgroup$



        In a more general case compared to the answers above, nothing can be stoped or started in zero time ie instantly. To do so would imply an infinitely high frequency component which would translate to infinite energy. The constraining factors are speed of light limitation of Special Relativity and Quantum Mechanics Uncertainty Principle.



        The sharper the transition you want, the more energy you have to pump into the system







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered 2 days ago









        Dirk BruereDirk Bruere

        5,96853164




        5,96853164



























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