Week of 4/7/08
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[http://en.wikipedia.org/wiki/Spontaneous_emission Spontaneous emission. Why does an electron in an excited state decay at all?] The theory we've presented so far explicitly prohibits this since stationary states are, well, stationary. This is the realm of Quantum Electrodynamics (QED). Spontaneous emission in free space depends on vacuum fluctuations. | [http://en.wikipedia.org/wiki/Spontaneous_emission Spontaneous emission. Why does an electron in an excited state decay at all?] The theory we've presented so far explicitly prohibits this since stationary states are, well, stationary. This is the realm of Quantum Electrodynamics (QED). Spontaneous emission in free space depends on vacuum fluctuations. | ||
− | Thinking about laser line width. Remember: <math>\Delta t \Delta E \geq \hbar/2</math> | + | Thinking about laser line width. Remember: <math>\Delta t \Delta E \geq \hbar/2</math>, But be careful in thinking about this formula. In nonrelativistic QM time is an '''independent variable'''. The dynamical variables are functions of it. <math>\Delta t</math> is not the standard deviation of our usual dynamical variables. In the time-energy uncertainty relation is corresponds to the amount of time it takes for the energy to change by one standard deviation. (See footnote 23 on page 116 of the book). |
Revision as of 16:07, 7 April 2008
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Spontaneous emission. Why does an electron in an excited state decay at all? The theory we've presented so far explicitly prohibits this since stationary states are, well, stationary. This is the realm of Quantum Electrodynamics (QED). Spontaneous emission in free space depends on vacuum fluctuations.
Thinking about laser line width. Remember: , But be careful in thinking about this formula. In nonrelativistic QM time is an independent variable. The dynamical variables are functions of it. Δt is not the standard deviation of our usual dynamical variables. In the time-energy uncertainty relation is corresponds to the amount of time it takes for the energy to change by one standard deviation. (See footnote 23 on page 116 of the book).