- •Functions
- •The Concept of a Function
- •Trigonometric Functions
- •Inverse Trigonometric Functions
- •Logarithmic, Exponential and Hyperbolic Functions
- •Limits and Continuity
- •Introductory Examples
- •Continuity Examples
- •Linear Function Approximations
- •Limits and Sequences
- •Properties of Continuous Functions
- •The Derivative
- •The Chain Rule
- •Higher Order Derivatives
- •Mathematical Applications
- •Antidifferentiation
- •Linear Second Order Homogeneous Differential Equations
- •Linear Non-Homogeneous Second Order Differential Equations
- •Area Approximation
- •Integration by Substitution
- •Integration by Parts
- •Logarithmic, Exponential and Hyperbolic Functions
- •The Riemann Integral
- •Volumes of Revolution
- •Arc Length and Surface Area
- •Techniques of Integration
- •Integration by formulae
- •Integration by Substitution
- •Integration by Parts
- •Trigonometric Integrals
- •Trigonometric Substitutions
- •Integration by Partial Fractions
- •Fractional Power Substitutions
- •Numerical Integration
- •Integrals over Unbounded Intervals
- •Discontinuities at End Points
- •Improper Integrals
- •Sequences
- •Monotone Sequences
- •Infinite Series
- •Series with Positive Terms
- •Alternating Series
- •Power Series
- •Taylor Polynomials and Series
- •Applications
- •Parabola
- •Ellipse
- •Hyperbola
- •Polar Coordinates
- •Graphs in Polar Coordinates
- •Areas in Polar Coordinates
- •Parametric Equations
Chapter 7
Improper Integrals and
Indeterminate Forms
7.1Integrals over Unbounded Intervals
Definition 7.1.1 Suppose that a function f is continuous on (−∞, ∞). Then we define the following improper integrals when the limits exist
Z ∞ f(x)dx = lim |
Z b f(x)dx |
(1) |
ab→∞ a
b |
a→−∞ |
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Z−∞ |
Za |
(2) |
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f(x)dx = |
lim |
f(x)dx |
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∞ |
c |
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Z−∞ f(x)dx = |
Z−∞ f(x)dx + Zc ∞ f(x)dx |
(3) |
provided the integrals on the right hand side exist for some c. If these improper integrals exist, we say that they are convergent; otherwise they are said to be divergent.
Definition 7.1.2 Suppose that a function f is continuous on [0, ∞). Then the Laplace transform of f, written L(f) or F (s), is defined by
Z ∞
L(f) = F (s) = e−stf(t)dt.
0
294
7.1. INTEGRALS OVER UNBOUNDED INTERVALS
Theorem 7.1.1 The Laplace transform has the following properties:
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L(eat) = |
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L(cos ωt) = |
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Proof. |
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(i) L(c) = Z0 |
∞ ce−stdt |
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ce−st ∞
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−s 0
= sc.
Z ∞
(ii) L(eat) = eate−stdt
0
Z∞
=e−(s−a)tdt
0
e−(s−a)t ∞
=
−(s − a) 0
295
(4)
(5)
(6)
(7)
(8)
(9)
(10)
1 = s − a
296CHAPTER 7. IMPROPER INTEGRALS AND INDETERMINATE FORMS
provided s > a.
(iii) L(cosh at) = Z0 |
∞ |
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eat + e |
at |
e−stdt |
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= 12[L(eat) + L(e−at)]
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s − a |
s + a |
s
= s2 − a2 , s > |a|.
(iv) L(sinh at) = Z ∞ 1 (eat − e−at)e−stdt
0 2
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a
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(v) |
L(cos ωt) = Z0 |
∞ cos ωte−stdt |
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e−st(−s cos ωt + ω sin ωt) 0∞ |
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ω2 |
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L(sin ωt) = Z0 |
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e−st(−s sin ωt − ω cos ωt) 0∞ |
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ω2 + s2 |
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7.1. INTEGRALS OVER UNBOUNDED INTERVALS |
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(vii) L(t) = Z0 |
∞ te−stdt; |
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This completes the proof of Theorem 7.1.1.
Theorem 7.1.2 Suppose that f f(x) ≤ g(x) on [a, ∞).
Z∞
(i)If g(x)dx converges, then
and g are continuous on [a, ∞) and 0 ≤
Z ∞
f(x)dx converges.
a |
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(ii) If Za∞ f(x)dx diverges, then |
Za∞ g(x)dx diverges. |
Proof. The proof of this follows from the order properties of the integral and is omitted.
Definition 7.1.3 For each x > 0, the Gamma function, denoted (x), is defined by
(x) = Z0 |
∞ tx−1e−tdt. |
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Theorem 7.1.3 The Gamma function has the following properties: |
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(1) = 1 |
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(11) |
(x + 1) = x (x) |
(12) |
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(n + 1) = n!, n = natural number |
(13) |
298CHAPTER 7. IMPROPER INTEGRALS AND INDETERMINATE FORMS
Proof.
Z ∞
(1) = e−tdt
0
= −e−t ∞
0
=1
Z ∞
(x + 1) = txe−tdt; (u = tx, dv = e−tdt)
0 |
+ x Z0 |
∞ |
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= x (x), x > 0(2) = 1 (1) = 1(3) = 2 (2) = 1 · 2 = 2!
If (k) = (k − 1)!, then(k + 1) = k (k)
=k((k − 1)!)
=k!.
By the principle of mathematical induction,
(n + 1) = n!
for all natural numbers n. This completes the proof of this theorem.
Theorem 7.1.4 Let f be the normal probability distribution function defined by
f(x) = σ√2π |
e− √2σ |
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x−µ |
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where µ is the constant mean of the distribution and σ is the constant standard deviation of the distribution. Then the improper integral
Z ∞
f(x)dx = 1.
−∞
Let F be the normal distribution function defined by
Z x
F (x) = f(x)dx.
−∞