Sine wave
A sine wave, sinusoidal wave, or sinusoid (symbol: ∿) is a periodic wave whose waveform (shape) is the trigonometric sine function. As a physical motion over time, this is simple harmonic motion, the one-dimensional projection of uniform circular motion.
When any two sine waves of the same frequency (but arbitrary phase) are linearly combined, the result is another sine wave of the same frequency; this property is unique among periodic waves. Conversely, if some phase is chosen as a zero reference, a sine wave of arbitrary phase can be written as the linear combination of two sine waves with phases of zero and a quarter cycle, the sine and cosine components, respectively. (In this context it can be helpful to call waves of arbitrary phase sinusoids, to avoid confusion.)
Sine waves occur often in physics (including wind waves, sound waves, and light waves), engineering, signal processing and many other fields. Fourier analysis decomposes general functions into a sum of sine waves of various frequencies.
Audio example
A sine wave represents a single frequency with no harmonics and is considered an acoustically pure tone. Adding sine waves of different frequencies results in a different waveform. Presence of higher harmonics in addition to the fundamental causes variation in the timbre, which is the reason why the same musical pitch played on different instruments sounds different.
Sine wave as a function of time
Sine waves that are only a function of time can be represented by the form:
where:
- , amplitude, the peak deviation of the function from zero.
- , ordinary frequency, the number of oscillations (cycles) that occur each second of time.
- , angular frequency, the rate of change of the function argument in units of radians per second.
- , phase, specifies (in radians) where in its cycle the oscillation is at t = 0.
- When is non-zero, the entire waveform appears to be shifted backwards in time by the amount seconds. A negative value represents a delay, and a positive value represents an advance.
- Adding or subtracting (one cycle) to the phase results in an equivalent wave.
Sine wave as a function of both space and time
Sine waves that exist in both space and time also have:
- a spatial variable that represents the position on the dimension on which the wave propagates.
- a wave number (or angular wave number) , which represents the proportionality between the angular frequency and the linear speed (speed of propagation) :
- wavenumber is related to the angular frequency by where (lambda) is the wavelength.
- a non-zero center amplitude, .
Depending on their direction of travel, they can take the form:
- , if the wave is moving to the right, or
- , if the wave is moving to the left.
Since sine waves propagate without changing form in distributed linear systems, they are often used to analyze wave propagation.
Standing waves
When two waves with the same amplitude and frequency traveling in opposite directions superpose each other, then a standing wave pattern is created.
On a plucked string, the superimposing waves are the waves reflected from the fixed endpoints of the string. The string's resonant frequencies are the string's only possible standing waves, which only occur for wavelengths that are twice the string's length (corresponding to the fundamental frequency) and integer divisions of that (corresponding to higher harmonics).
Multiple spatial dimensions
The earlier equation gives the displacement of the wave at a position at time along a single line. This could, for example, be considered the value of a wave along a wire.
In two or three spatial dimensions, the same equation describes a travelling plane wave if position and wavenumber are interpreted as vectors, and their product as a dot product. For more complex waves such as the height of a water wave in a pond after a stone has been dropped in, more complex equations are needed.
Sinusoidal plane wave
Fourier analysis
French mathematician Joseph Fourier discovered that sinusoidal waves can be summed as simple building blocks to approximate any periodic waveform, including square waves. These Fourier series are frequently used in signal processing and the statistical analysis of time series. The Fourier transform then extended Fourier series to handle general functions, and birthed the field of Fourier analysis.
Differentiation and integration
Differentiation
Differentiating any sinusoid will phase shift the sinusoid backwards by radians (or of a cycle) and multiply its amplitude by its frequency:
Differentiation is effectively a 1st order high-pass filter without a cutoff frequency.
Integration
Integrating any sinusoid will phase shift the sinusoid forwards by radians (or of a cycle) and divide its amplitude by its frequency:
Integration is effectively a 1st order low-pass filter without a cutoff frequency. The constant of integration will be zero if the interval of integration is an integer multiple of the sinusoid's period.
See also
- Crest (physics)
- Complex exponential
- Damped sine wave
- Euler's formula
- Fourier transform
- Harmonic analysis
- Harmonic series (mathematics)
- Harmonic series (music)
- Helmholtz equation
- Instantaneous phase
- In-phase and quadrature components
- Least-squares spectral analysis
- Oscilloscope
- Phasor
- Pure tone
- Simple harmonic motion
- Sinusoidal model
- Wave (physics)
- Wave equation
- ∿ the sine wave symbol (U+223F)
References
External links
- "Sinusoid". Encyclopedia of Mathematics. Springer. Retrieved December 8, 2013.
- "Sine Wave". Mathematical Mysteries. 2021-11-17. Retrieved 2022-09-30.
- "Sinusoidal". www.math.net. Retrieved 2022-09-30.