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Let $[x]$ denote the greatest integer $\leq x$. Find: $\displaystyle\lim_{x\to0}\dfrac{\tan(\pi\sin^2 x)+(|x|-\sin(x[x]))^2}{x^2}$
Split into right and left limits.
Right limit ($x\to0^+$): $[x]=0$, so $\sin(x[x])=0$, $|x|=x$.
$\dfrac{\tan(\pi\sin^2x)+x^2}{x^2}$. Using $\tan(\pi\sin^2x)\approx\pi\sin^2x\approx\pi x^2$:
$=\pi+1$
Left limit ($x\to0^-$): $[x]=-1$, $\sin(x[x])=\sin(-x)=-\sin x$, $|x|=-x$.
$=\dfrac{\tan(\pi\sin^2x)+(-x-(-\sin x))^2}{x^2}=\dfrac{\pi x^2+(\sin x-x)^2}{x^2}\to\pi+0=\pi$
Left $\neq$ Right, so the limit does not exist.
The textbook discusses noise in the Shannon-Weaver model context and identifies three categories:
- Physical (Mechanical/Engineering) Noise: Unexplained variation or random error in the communication channel. Examples: a loud motorbike during conversation, smudges on a printed page, “snow” on a TV set, mist on a car windscreen, a crackling microphone. Shannon was primarily concerned with this type.
- Semantic Noise: Arises from differences in meaning — when sender and receiver do not share the same knowledge, cultural background, experience, attitudes, beliefs, or linguistic skills. This is “the very essence of the study of human communication.”
- Psychological Noise: The textbook mentions “psychological interference with encoding and decoding” — arising from emotional states, biases, prejudices, or mental conditions that distort how messages are encoded or decoded.
Channel overload — when the channel capacity is exceeded — is also mentioned as a source of distortion distinct from noise per se.
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