Linearity

In my own words, a linear system is a system in which superposition applies. For example, if two inputs x1(t) and x2(t) are applied to the system, the output of the system will the sum of the responses to both inputs, y(t) = y1(t) + y2(t).

For example,

x1(t) + x2(t) $ \rightarrow $ system $ \rightarrow $ y(t) = y1(t) + y2(t)


System ECE301Fall2008mboutin.JPG

Linear System

x[n] $ \rightarrow $ system $ \rightarrow $ y[n] = 2x[n]

Proof:

System1 ECE301Fall2008mboutin.jpg

System2 ECE301Fall2008mboutin.jpg


Based on Prof Mimi's definition 3 of Linearity, since the system produces the same output for both cases, the system is linear.

Non-Linear System

x[n] $ \rightarrow $ system $ \rightarrow $ $ y[n] = x[n]^2 $

Proof:

System3 ECE301Fall2008mboutin.jpg

System4 ECE301Fall2008mboutin.jpg


This system is not linear because $ ax_1^2(n) + bx_2^2(n) \neq [ax_1(n) + bx_2(n)]^2 $

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva