All Study Guides Intro to Mathematical Analysis Unit 9
🏃🏽♀️➡️ Intro to Mathematical Analysis Unit 9 – The Riemann IntegralThe Riemann integral is a cornerstone of calculus, providing a precise method for calculating areas under curves. It partitions intervals into subintervals, approximating the area with rectangles, and takes the limit as the subinterval width approaches zero.
This concept, developed by Bernhard Riemann in the 19th century, revolutionized mathematical analysis. It applies to continuous and some discontinuous functions, forming the basis for more advanced integration techniques and playing a crucial role in various mathematical and scientific fields.
Definition and Concept
The Riemann integral provides a precise definition of the integral of a function on a closed interval [ a , b ] [a, b] [ a , b ]
Partitions the interval [ a , b ] [a, b] [ a , b ] into subintervals and approximates the area under the curve using rectangles
Considers the limit of the sum of these rectangular areas as the width of the subintervals approaches zero
Denoted as ∫ a b f ( x ) d x \int_a^b f(x) dx ∫ a b f ( x ) d x , where f ( x ) f(x) f ( x ) is the integrand and [ a , b ] [a, b] [ a , b ] is the interval of integration
The Riemann integral is a fundamental concept in calculus and mathematical analysis
Allows for the calculation of areas, volumes, and other quantities
Serves as a basis for more advanced integration techniques (Lebesgue integration)
Historical Context
Developed by German mathematician Bernhard Riemann in the 19th century
Riemann's work built upon the ideas of Cauchy and Darboux regarding the definition of the integral
Riemann's definition provided a more rigorous and general approach to integration compared to earlier methods
Earlier methods relied on geometric intuition and were limited to specific classes of functions
The Riemann integral played a crucial role in the development of modern analysis and the formalization of calculus
Riemann's work on integration laid the foundation for further advancements in the field
Lebesgue's theory of measure and integration
Development of functional analysis and other branches of mathematics
Properties of Riemann Integrability
A function f ( x ) f(x) f ( x ) is Riemann integrable on [ a , b ] [a, b] [ a , b ] if the limit of Riemann sums exists and is unique as the norm of the partition approaches zero
Riemann integrability requires the function to be bounded on the interval [ a , b ] [a, b] [ a , b ]
Continuous functions are always Riemann integrable
Monotonic functions are Riemann integrable
Functions with a finite number of discontinuities are Riemann integrable
The discontinuities must be removable or jump discontinuities
The sum, difference, product, and quotient (when defined) of Riemann integrable functions are also Riemann integrable
Riemann Sums and Approximations
Riemann sums approximate the integral of a function by partitioning the interval and summing the areas of rectangles
The interval [ a , b ] [a, b] [ a , b ] is divided into n n n subintervals of equal width Δ x = b − a n \Delta x = \frac{b-a}{n} Δ x = n b − a
For each subinterval [ x i − 1 , x i ] [x_{i-1}, x_i] [ x i − 1 , x i ] , a point x i ∗ x_i^* x i ∗ is chosen (left endpoint, right endpoint, or midpoint)
The Riemann sum is given by ∑ i = 1 n f ( x i ∗ ) Δ x \sum_{i=1}^n f(x_i^*) \Delta x ∑ i = 1 n f ( x i ∗ ) Δ x
As the number of subintervals n n n increases and the width Δ x \Delta x Δ x approaches zero, the Riemann sum converges to the actual value of the integral
Different types of Riemann sums include:
Left Riemann sum: x i ∗ x_i^* x i ∗ is the left endpoint of each subinterval
Right Riemann sum: x i ∗ x_i^* x i ∗ is the right endpoint of each subinterval
Midpoint Riemann sum: x i ∗ x_i^* x i ∗ is the midpoint of each subinterval
Techniques for Evaluating Riemann Integrals
Fundamental Theorem of Calculus: If F ( x ) F(x) F ( x ) is an antiderivative of f ( x ) f(x) f ( x ) on [ a , b ] [a, b] [ a , b ] , then ∫ a b f ( x ) d x = F ( b ) − F ( a ) \int_a^b f(x) dx = F(b) - F(a) ∫ a b f ( x ) d x = F ( b ) − F ( a )
Substitution method: Change of variables to simplify the integrand or transform the limits of integration
Integration by parts: Useful for integrals involving products of functions
∫ a b u ( x ) v ′ ( x ) d x = [ u ( x ) v ( x ) ] a b − ∫ a b u ′ ( x ) v ( x ) d x \int_a^b u(x)v'(x) dx = [u(x)v(x)]_a^b - \int_a^b u'(x)v(x) dx ∫ a b u ( x ) v ′ ( x ) d x = [ u ( x ) v ( x ) ] a b − ∫ a b u ′ ( x ) v ( x ) d x
Partial fractions: Decomposing rational functions into simpler fractions for integration
Trigonometric substitution: Substituting trigonometric functions to simplify the integrand
Numerical integration methods: Approximating the integral using techniques like the Trapezoidal rule or Simpson's rule
Fundamental Theorem of Calculus
The Fundamental Theorem of Calculus establishes a connection between differentiation and integration
First Fundamental Theorem of Calculus: If f ( x ) f(x) f ( x ) is continuous on [ a , b ] [a, b] [ a , b ] , and F ( x ) F(x) F ( x ) is an antiderivative of f ( x ) f(x) f ( x ) , then ∫ a b f ( x ) d x = F ( b ) − F ( a ) \int_a^b f(x) dx = F(b) - F(a) ∫ a b f ( x ) d x = F ( b ) − F ( a )
Provides a way to evaluate definite integrals using antiderivatives
Second Fundamental Theorem of Calculus: If f ( x ) f(x) f ( x ) is continuous on [ a , b ] [a, b] [ a , b ] , then d d x ∫ a x f ( t ) d t = f ( x ) \frac{d}{dx} \int_a^x f(t) dt = f(x) d x d ∫ a x f ( t ) d t = f ( x )
Shows that differentiation and integration are inverse operations
The Fundamental Theorem of Calculus simplifies the calculation of definite integrals and enables the development of integral calculus
Applications and Examples
Area between curves: Calculating the area enclosed by two or more curves
Example: Area between y = x 2 y = x^2 y = x 2 and y = x y = x y = x on the interval [ 0 , 1 ] [0, 1] [ 0 , 1 ]
Volume of solids of revolution: Determining the volume of a solid formed by rotating a region around an axis
Example: Volume of a cone formed by rotating the line y = x y = x y = x around the x-axis
Work done by a variable force: Calculating the work done by a force that varies with position
Example: Work done by a spring force F ( x ) = k x F(x) = kx F ( x ) = k x as it is compressed from x = 0 x = 0 x = 0 to x = a x = a x = a
Average value of a function: Finding the average value of a function over an interval
Example: Average value of f ( x ) = sin ( x ) f(x) = \sin(x) f ( x ) = sin ( x ) on the interval [ 0 , π ] [0, \pi] [ 0 , π ]
Probability and expected value: Using integrals to calculate probabilities and expected values in continuous probability distributions
Example: Expected value of a continuous random variable with probability density function f ( x ) f(x) f ( x )
Limitations and Extensions
The Riemann integral has some limitations in dealing with highly oscillatory or discontinuous functions
Functions with infinitely many discontinuities may not be Riemann integrable (Dirichlet function)
The Lebesgue integral extends the concept of integration to a wider class of functions
Lebesgue integrals can handle functions with more general types of discontinuities
Lebesgue integration is based on the concept of measure theory
Improper integrals extend the Riemann integral to unbounded intervals or functions with unbounded discontinuities
Improper integrals are defined as limits of proper Riemann integrals
Other extensions and generalizations of the Riemann integral include:
Riemann-Stieltjes integral: Integrates with respect to a monotonic function instead of the usual dx
Henstock-Kurzweil integral: Allows for more general partitions and tagged points in the Riemann sum
Gauge integral: A generalization of the Riemann and Lebesgue integrals using gauge functions