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Exercise 7.10 · Q16

Q.The maximum value of the function x2e−2x,x>0x^2e^{-2x},\\ x>0 is

(1) 1e\dfrac1e
(2) 12e\dfrac{1}{2e}
(3) 1e2\dfrac{1}{e^2}
(4) 4e4\dfrac{4}{e^4}
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Concept understanding — Maxima and Minima

Absolute (global) extrema. For ff defined on a domain DD, f(x0)f(x_0) is the absolute maximum of ff on DD if f(x0)≥f(x)f(x_0)\ge f(x) for every x∈Dx\in D; the absolute minimum is defined symmetrically with ≤\le.

Extreme Value Theorem. If ff is continuous on a closed interval [a,b][a,b], then ff attains both an absolute maximum and an absolute minimum somewhere on [a,b][a,b] — and the extremum can only occur either at an interior critical number or at one of the two endpoints.

Procedure for absolute extrema on [a,b][a,b] (Exercise 7.6 Q1's method):

  1. Find every critical number of ff in the open interval (a,b)(a,b).
  2. Evaluate ff at each critical number and at both endpoints a,ba,b.
  3. The largest of these values is the absolute maximum; the smallest is the absolute minimum.

Relative (local) extrema. ff has a relative (local) maximum at x0x_0 if f(x0)f(x_0) is the largest value of ff on some open interval around x0x_0 (relative minimum: smallest, on some open interval). A function may have several local extrema, and a local extremum need not be the absolute one.

Fermat's Theorem. If ff has a relative extremum at x=cx=c, then cc must be a critical number of ff (so the search for local extrema always starts by solving f′(x)=0f'(x)=0 together with any points where f′f' fails to exist) — though not every critical number is automatically an extremum (e.g. y=x3y=x^3 at x=0x=0).

First Derivative Test. At a critical point cc where ff is continuous, examine the sign of f′(x)f'(x) moving left to right across cc:

  • negative →\to positive: local minimum at cc;
  • positive →\to negative: local maximum at cc;
  • no sign change (same sign on both sides): cc is neither a local max nor a local min.

Second Derivative Test (an alternative, often quicker, at a stationary point). If f′(c)=0f'(c)=0 and f′′(c)f''(c) exists:

  • f′′(c)<0f''(c)<0 ⇒\Rightarrow local maximum at cc;
  • f′′(c)>0f''(c)>0 ⇒\Rightarrow local minimum at cc; …

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