Choose an initially transform-limited pulse with Gaussian power and complex envelopeHere is the standard deviation of the power-weighted time distribution; is its full width at half maximum. Neither is a field-amplitude width. The spectral amplitude is proportional to , so the spectral power has standard deviation . The Gaussian time-bandwidth product in ordinary frequency is , where both widths are power FWHMs.
Multiplication by preserves spectral power and energy. Substituting into the moment identity givesThis is an exact result for a Gaussian spectrum with quadratic spectral phase. It also follows by completing the square in its inverse Fourier transform.
For these chosen inputs, . The stretched pulse has and root mean square width . Adding recovers ; leaving gives . All phase-only cases retain .
If GDD is cancelled but remains, the pulse is asymmetric. Gaussian spectral moments giveThus the centroid is and the root mean square duration is . Converting this last value to a FWHM with the Gaussian factor would be wrong: the power envelope is no longer Gaussian. The calculation's integrated energy agrees in time and frequency through Parseval's identity, while its centroid and variance agree with these independent moment formulas.
A real amplifier also changes spectral amplitude. For a simple small-signal example, stipulate an intensity gain profileThis specifies finite gain bandwidth, with no saturation or extra amplifier phase. Multiplying two Gaussian spectra givesFor chosen , the amplified spectrum is narrower by , the shortest Gaussian power FWHM becomes , and the total energy is . Perfect spectral phase correction cannot recreate the suppressed spectral amplitude. Real gain narrowing and saturation require a material-dependent amplifier model; a constant multiplier is only a limited idealization. Gérard Mourou's 2018 lecture discusses gain narrowing as a limit on the shortest amplified pulses.[ref]
Extreme Light Physics and Application by Gérard Mourou. Extreme Light Physics and Application, p.105, §II.E: finite gain bandwidth and gain narrowing
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