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Critical Points: Properties and Applications - Notes | Music 16, Study notes of Music

Material Type: Notes; Class: MUSIC THEORY; Subject: Music; University: University of California - Irvine; Term: Unknown 1989;

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LECTURE 16
21 Critical Points: Properties and Applications
21.1 Absolute Maxima and Minima: Definition
Definition. Suppose the domain of a function fincludes a closed interval ]a, b[. A point cis said to be
an absolute maximum of fon [a, b] if
f(c)f(x) for all xin ]a, b[
an absolute minimum of fon [a, b] if
f(c)f(x) for all xin ]a, b[
Note. Absolute maxima and minima of a function on an open interval, and on an arbitrary set of points, are
defined analogously (e.g., see absolute maxima in S&M.)
Examples
on the interval [0,4π], the function f(x) = sin(x) has two absolute maxima and two absolute minima (find
them)
on the interval [1,2], the function
f(x) = 1xfor 0 x < 1
1 for 1 x2
has absolute maxima at the point x= 0 and at all points in the interval [1,2] on the x-axis, but no absolute
minima
21.2 Finite Differences: Definition
Suppose a function fis defined in a neighborhood of a point c.
Exercise. This exercise is an efficient way to clarify the limit formulas for the right-sided and left-sided deriva-
tives.
Let hbe a small, positive number, such that the closed interval [ch,c +h] is contained in the domain of f.
Write down the slope of the line passing through
the points (c, f (c)) and (c+h, f(c+h))
the points (c, f (c)) and (ch, f(ch))
Definition. For a small h > 0, the expressions
f(c+h)f(c)
hand f(c)f(ch)
h
are called, respectively, the right-sided and left-sided finite differences (of fat cwith step h). Another term for these
is, a right-sided (left-sided) (f, c, h)-difference.
Note. Finite differences have the following geometric interpretation. A right-sided finite (f , c, h)-difference is the
slope of the line passing through the points
(c, f (c)),(c+h,f (c+h))
Similarly, a left-sided (f, c, h)-difference is the slope of the line passing through the points
(c, f (c)),(ch,f (ch))
Note that for both differences, his positive.
32
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LECTURE 16

21 Critical Points: Properties and Applications

21.1 Absolute Maxima and Minima: Definition

Definition. Suppose the domain of a function f includes a closed interval ]a, b[. A point c is said to be

  • an absolute maximum of f on [a, b] if

f (c) ≥ f (x) for all x in ]a, b[

  • an absolute minimum of f on [a, b] if

f (c) ≤ f (x) for all x in ]a, b[

Note. Absolute maxima and minima of a function on an open interval, and on an arbitrary set of points, are defined analogously (e.g., see absolute maxima in S&M.)

Examples

  • on the interval [0, 4 π], the function f (x) = sin(x) has two absolute maxima and two absolute minima (find them)
  • on the interval [1, 2], the function

f (x) =

1 − x for 0 ≤ x < 1 1 for 1 ≤ x ≤ 2

has absolute maxima at the point x = 0 and at all points in the interval [1, 2] on the x-axis, but no absolute minima

21.2 Finite Differences: Definition

Suppose a function f is defined in a neighborhood of a point c.

Exercise. This exercise is an efficient way to clarify the limit formulas for the right-sided and left-sided deriva- tives. Let h be a small, positive number, such that the closed interval [c − h, c + h] is contained in the domain of f. Write down the slope of the line passing through

  • the points (c, f (c)) and (c + h, f (c + h))
  • the points (c, f (c)) and (c − h, f (c − h))

Definition. For a small h > 0, the expressions

f (c + h) − f (c) h

and

f (c) − f (c − h) h

are called, respectively, the right-sided and left-sided finite differences (of f at c with step h). Another term for these is, a right-sided (left-sided) (f, c, h)-difference.

Note. Finite differences have the following geometric interpretation. A right-sided finite (f, c, h)-difference is the slope of the line passing through the points

(c, f (c)), (c + h, f (c + h))

Similarly, a left-sided (f, c, h)-difference is the slope of the line passing through the points

(c, f (c)), (c − h, f (c − h))

Note that for both differences, h is positive.

21.3 The Derivative at an Extremum: Analysis by the 1st Derivative

Theorem: Maxima of Differentiable Functions. Suppose a function f (x) is differentiable on the open interval ]a, b[, and suppose c is a point in ]a, b[ at which f attains a a maximum on ]a, b[, i.e.

f (c) ≥ f (x) for all x in ]a, b[ (24)

THEN f ′(c) = 0.

Verification. To see this, consider the right-sided finite difference

f (c + h) − f (c) h

where h is positive and small enough that c + h lies in ]a, b[. By (24), we have

f (c + h) − f (c) h

Letting h tend to 0 from the right and taking the limit, we obtain by Nonpositivity (Lecture 5, section 4.6.2) that

f ′(c) ≤ 0 (27)

Carrying out a similar procedure for the left-sided finite difference,

f (c) − f (c − h) h

, h > 0 ,

we obtain f ′(c) ≥ 0 (28)

The inequalities (27) and (28) must hold simultaneously, and this is possible only if

f ′(c) = 0

Corollary: Minima of Differentiable Functions. Suppose a function f (x) is differentiable on the open interval ]a, b[, and suppose c is a point in ]a, b[ at which f attains a minimum on ]a, b[, i.e.

f (c) ≤ f (x) for all x in ]a, b[ (29)

THEN f ′(c) = 0.

Verification. To see this, introduce the function f˜ (x) = −f (x). Then f˜ has a maximum at c, hence satisfies f˜ ′(c) = 0, as we verified above. It follows that f ′(c) = 0.

Terminology: Extrema. Absolute maxima and minima are collectively called absolute extrema.

How to Picture the Results in this Section. “Drop a horizontal bar onto a 2-D hill.” (The bar will hit the highest point of the hill.)

How to Remember the Results in this Section. At an absolute extremum, the tangent is horizontal.