Let IR denote the set of all real numbers. Define the function f: R→R by f(x)=\ [[2 - 2x ^ 2 - x ^ 2 * sin(1/x)], [2]] if z≠0, if x = 0 Find R.H.D and L.H.D
Detailed Explanation
1. Function Definition
For :
For :
Notice that outside , the term multiplies everything, making the whole extra part very small near the origin.
2. Right‐Hand Derivative (RHD) Formula
Take and use
Similarly, for the left we use . The key is to substitute , simplify, then squeeze the limit.
3. Squeezing Idea
Because we have
Multiplying by makes
As (from either side) all three expressions go to by the Squeeze Theorem. Hence both RHD and LHD are .
4. Why Both Sides Match
The only possible asymmetry would come from the sign of itself, yet the factor that could misbehave () is still bounded. Multiplying a bounded number by tiny will always give a tiny number that tends to , no matter the sign of . Therefore, both directional limits coincide, and the full derivative at exists and is .
Simple Explanation (ELI5)
What is the question?
We have a bumpy‐looking rule called a function. It tells us, “If you are at zero, I give you the number 2; if you are anywhere else, I give you a slightly smaller number that depends on in a wiggly way.”
We want to know how steep (the slope) the graph is exactly at , both from the right side and the left side.
How do we normally find a slope at a point?
Think of standing on a hill.
• Take a tiny step forward (right) and see how your height changes.
• Divide that tiny height change by the tiny step length.
• Shrink the step to almost zero.
That final number is the right‐hand derivative (RHD).
Do the same with a tiny backward step for the left‐hand derivative (LHD).
What happens in this problem?
When we plug in a super small number instead of , the complicated wiggly part is still multiplied by . Because is extra tiny, it kills the wiggles! The height change becomes so tiny that, after dividing by the tiny step, we still get something that goes to 0.
So from both sides, the slope flattens to 0.
Step-by-Step Solution
Step–by–Step Solution
-
Write the difference quotient
For , -
Form RHD and LHD expressions
-
Use the boundedness of
Hence,
Since as , by Squeeze Theorem both limits are .
-
Conclusion
Because RHD = LHD, the ordinary derivative at also exists and equals .
Examples
Example 1
Oscillatory damping: A metal rod vibrating but with amplitude multiplied by t^2—displacement tends to a flat line; slope at t = 0 is 0.
Example 2
Economics: A price function p(t) = 100 − t^2(5 + sin(100/t)) has zero instantaneous rate of change at t = 0 despite high-frequency noise.
Example 3
Engineering signal: Voltage v(t) = 1 − t^2(sin(1/t) + 3) is flat at start-up; derivative of voltage at t = 0 is 0 even with noise.