y1[n] = x1[n] + x2[n - 10] ...(1)
y2 = x2[n] + x2[n - 10] ...(2)
y1[n] = x1[n] + x2[n] + x2[n - 10] + x2[n - 10] ...(3)
Now find y1[n] + y2[n]
Corresponding to x1[n] + x2[n]
It is same as equation (3) hence linear.
But in part (c) y[n] = x2[n]
? y1[n] = x21[n], y2[n] = x22[n]? y1[n] + y2[n] = x22[n]...3
But y1[n] + y2[n]
Corresponing x1[n] + x2[n] is y1[n] + y2[n] = {x1[n] + x2[n]}2
= x12[n] + x22[n] + 2x1[n] x2[n]....4
Equations (3) and (4) are not same hence not linear.
Nyquist sampling freq fs ? 2fm where fm is highest frequency component in given signal and highest fm in 3rd part
2pfmt = 300 pt
fm = 150 Hz
fs = 2 x 150 p 300 Hz
.
All linear system possess the property of superposition i.e., if input u1 gives output y1 and input u2 gives output y2 then input u1 + u2 will give output y1 + y2.
Superposition implies homogencity i.e., if input u gives output y, then input ku gives output ky where k is a rational number.
In general a system is linear if a transformation T satisfies the relation
T(au1 + ?u2) = aT(u1) + ?T(u2)
where a and ? are constant.
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