1. Limits 1.1 Definition of a Limit 1.2 Computing Basic Limits - - PowerPoint PPT Presentation

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1. Limits 1.1 Definition of a Limit 1.2 Computing Basic Limits - - PowerPoint PPT Presentation

1. Limits 1.1 Definition of a Limit 1.2 Computing Basic Limits 1.3 Continuity 1.4 Squeeze Theorem 1.1 Definition of a Limit The limit is the central object of calculus. It is a tool from which other fundamental definitions develop.


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  • 1. Limits
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1.1 Definition of a Limit 1.2 Computing Basic Limits 1.3 Continuity 1.4 Squeeze Theorem

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1.1 Definition of a Limit

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  • The limit is the central
  • bject of calculus.
  • It is a tool from which other

fundamental definitions develop.

  • The key difference between

calculus and everything before is this idea.

  • We say things like:

a function f(x) has a limit at a point y

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  • In other words, if a point is close to ,

then the outpoint is close to . y

x

L

f(x) lim

x→y f(x) = L if, for all ✏ > 0, there exists some > 0

such that if 0 < |x − y| < , then |f(x) − L| < ✏.

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  • The limit definition does not

say needs to exist!

  • The special case when

exists and is equal to is special, and will be discussed later. f(x) f(x) lim

y→x f(y)

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  • One can sometimes

visually check if a limit exists, but the definition is very important too.

  • It’s a tough one the first

time, but is a thing of great beauty.

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1.2 Computing Basic Limits

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  • Computing limits can be

easy or hard.

  • A limit captures what the

function looks like around a certain point, rather than at a certain point.

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  • To compute limits, you

need to ignore the function’s value, and only analyze what happens nearby.

  • This is what the

definition attempts to characterize. ✏ −

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Compute lim

x→0(x + 1)2

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Compute lim

x→−1

x2 + 2x + 1 x + 1

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Compute lim

x→1

x2 + 2x + 1 x + 1

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Compute lim

x→0

1 x

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Compute lim

x→0

√ x4 + x2 x !

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1.3 Continuity

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  • Sometimes, plugging

into a function is the same as evaluating a

  • limit. But not always!
  • Continuity captures this

property.

f is continuous at x if lim

y→x f(y) = f(x)

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  • Intuitively, a function

that is continuous at every point can be drawn without lifting the pen.

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f is continuous if it is continuous at x for all x

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Discuss the continuity of f(x) = (

1 x

if x 6= 0 if x = 0

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Discuss the continuity of f(x) = ( 2x + 1 if x ≤ 1 3x2 if x > 1

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  • Polynomials, exponential

functions, and are continuous functions.

  • Rational functions are

continuous except at points where the denominator is 0.

  • Logarithm is continuous,

because its domain is

  • nly .

sin, cos (0, ∞)

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1.4 Squeeze Theorem

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  • There are no one-size-

fits-all methods for computing limits.

  • One technique that is

useful for certain problems is to relate one limit to another.

  • A foundational technique

for this is based around the Squeeze Theorem.

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Suppose g(x) ≤ f(x) ≤ h(x) for some interval containing y. ⇒ lim

x→y g(x) ≤ lim x→y f(x) ≤ lim x→y h(x)

Squeeze Theorem

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  • We will not prove this (or

any, really) theorem.

  • One classic application of

the theorem is computing lim

x→0

sin(x) x

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  • Direct substitution (which
  • ne should be very wary
  • f when computing

limits) fails.

  • Indeed, plugging in

yields x = 0 sin(0) = 0 0 = DNE

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  • An instructive exercise is to

show that, for cos(x) ≤ sin(x) x ≤ 1 ⇒ lim

x→0 cos(x) ≤ lim x→0

sin(x) x ≤ lim

x→0 1

⇒ 1 ≤ lim

x→0

sin(x) x ≤ 1 ⇒ lim

x→0

sin(x) x = 1