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The fourier series of the function
F(x) = (−1. -π/ω< /><0 +1="" 0=""><1><π in="" the="" interval="" -="" pi/omega="">< t="" />< pi/omega="" can="" be="" written="" as="" (a)="" 4/pi="" *="" sum="" n="1" to="" ∞="" (sin(nwt))/n="" (b)="" 4/pi="" *="" sum="" n="1" to="" ∞="" (cos(nwt))/n="" (c)="" 4/pi="" *="" sum="" n="1" to="" ∞="" (sin="" nwt)/n="" +="" 4/pi="" *="" sum="" n="1" to="" ∞="" (cos(nwt))/n="" (d)="" 4/pi="" *="" sum="" n="1," 3,="" 5="" to="" x="" (sin(nwt))/n?="" pi/omega="" can="" be="" written="" as="" (a)="" 4/pi="" *="" sum="" n="1" to="" ∞="" (sin(nwt))/n="" (b)="" 4/pi="" *="" sum="" n="1" to="" ∞="" (cos(nwt))/n="" (c)="" 4/pi="" *="" sum="" n="1" to="" ∞="" (sin="" nwt)/n="" +="" 4/pi="" *="" sum="" n="1" to="" ∞="" (cos(nwt))/n="" (d)="" 4/pi="" *="" sum="" n="1," 3,="" 5="" to="" x="" />
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The fourier series of the function F(x) = (−1. -π/ω
Understanding Fourier Series
The Fourier series is a method to express a periodic function as a sum of sine and cosine functions. The series allows us to analyze and reconstruct signals in various applications, especially in physics and engineering.
Function Definition
Given the function F(x) = -1 for -π < x="" />< 0="" and="" f(x)="1" for="" 0="" />< x="" />< π,="" we="" will="" compute="" its="" fourier="" />
Periodicity
- The function F(x) is periodic with a period of 2π.
- This means it repeats its values every 2π units.
Fourier Coefficients
To find the Fourier coefficients:
- a0: The average value over one period.
- an: The coefficients for the cosine terms, calculated by integrating F(x) multiplied by cos(nx) over one period.
- bn: The coefficients for the sine terms, calculated by integrating F(x) multiplied by sin(nx) over one period.
Resulting Fourier Series
- The Fourier series of the function can be expressed as:
F(x) = a0/2 + Σ (an * cos(nx) + bn * sin(nx))
- Here, Σ denotes the summation from n=1 to infinity.
Properties of F(x)
- The function F(x) is an odd function, meaning F(-x) = -F(x).
- Therefore, all an coefficients will be zero.
Conclusion
- The Fourier series will primarily consist of sine terms, reflecting the odd nature of the function.
- This result is useful in various applications like signal processing and acoustics, enhancing our understanding of waveforms.
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The fourier series of the function F(x) = (−1. -π/ω
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