(New page: A time-invariant system is a system that has a fixed output over a certain time. In other words, the time-shifted output signal must correspond to the time-shifted input signal. To prove ...)
 
 
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for a particular system, then choosing some arbitraty signals:
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for a particular system, then choosing some arbitraty inputs:
  
  
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It is clear that <math>y_2(t) = y-1(t - t_0)</math>, so this system is time invariant.
 
It is clear that <math>y_2(t) = y-1(t - t_0)</math>, so this system is time invariant.
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As a prove for time-variant system, let:
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:<math>y(t) = tx(t)\,</math>
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Again, choosing arbitrary inputs
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:<math>y_1(t) = tx_1(t)\,</math>
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and
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:<math>x_2(t) = x_1(t - t_0)\,</math>
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The output would be
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:<math>y_2(t) = tx_2(t) = tx_1(t - t_0)\,</math>
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But
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:<math>y_1(t - t_0) = (t - t_0)x(t - t_0)\,</math>
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As we can see, <math>y_2(t)</math> is not equal to <math>y_1(t - t_0)</math>, and therefore is time-variant.
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Note: The examples shown here were taken from Signals & Systems Second edition by Alan V. Oppenheim and Alan S. Willsky pg.51

Latest revision as of 19:13, 11 September 2008

A time-invariant system is a system that has a fixed output over a certain time. In other words, the time-shifted output signal must correspond to the time-shifted input signal.

To prove this property, let:


$ y(t) = sin[x(t)]\, $


for a particular system, then choosing some arbitraty inputs:


$ y_1(t) = sin[x_1(t)]\, $


and suppose


$ x_2(t) = x_1(t - t_0)\, $


Therefore


$ y_2(t) = sin[x_2(t)] = sin[x_1(t - t_0)]\, $


Equivalently


$ y_1(t - t_0) = sin[x_1(t - t_0)]\, $


It is clear that $ y_2(t) = y-1(t - t_0) $, so this system is time invariant.

As a prove for time-variant system, let:


$ y(t) = tx(t)\, $


Again, choosing arbitrary inputs


$ y_1(t) = tx_1(t)\, $


and


$ x_2(t) = x_1(t - t_0)\, $


The output would be


$ y_2(t) = tx_2(t) = tx_1(t - t_0)\, $


But


$ y_1(t - t_0) = (t - t_0)x(t - t_0)\, $


As we can see, $ y_2(t) $ is not equal to $ y_1(t - t_0) $, and therefore is time-variant.

Note: The examples shown here were taken from Signals & Systems Second edition by Alan V. Oppenheim and Alan S. Willsky pg.51

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood