Continuity is a fundamental concept in calculus, describing how functions behave without abrupt changes or breaks. It's crucial for understanding limits, derivatives, and integrals. This topic dives into the nitty-gritty of what makes a function continuous.

We'll explore the definition of continuity at a point and on intervals, learn how to test for continuity, and examine different types of discontinuities. These ideas form the backbone of more advanced calculus concepts you'll encounter later.

Continuity of functions

Definition of continuity at a point

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  • A function ff is continuous at a point cc if the following three conditions are satisfied:
    1. f(c)f(c) is defined
    2. The limit of f(x)f(x) as xx approaches cc exists
    3. The limit of f(x)f(x) as xx approaches cc is equal to f(c)f(c)
  • The three conditions for continuity at a point cc can be summarized as the function is defined at cc, the limit exists at cc, and the value of the function at cc is equal to the limit at cc
  • Example: Consider the function f(x)=x2f(x) = x^2. To check if ff is continuous at c=1c = 1, we evaluate f(1)=12=1f(1) = 1^2 = 1, confirm that the limit of f(x)f(x) as xx approaches 11 exists and equals 11, and see that f(1)=1f(1) = 1 matches the limit value

Continuity on an interval

  • A function is continuous on an interval if it is continuous at every point within that interval
  • If a function is continuous on a closed interval [a,b][a, b], then it is also continuous at the endpoints aa and bb
    • Example: The function f(x)=sin(x)f(x) = \sin(x) is continuous on the closed interval [0,π][0, \pi] because it is continuous at every point within the interval, including the endpoints 00 and π\pi
  • If a function is continuous on an open interval (a,b)(a, b), then it may or may not be continuous at the endpoints aa and bb
    • Example: The function f(x)=1xf(x) = \frac{1}{x} is continuous on the open interval (0,)(0, \infty) but is not continuous at the endpoint 00 because the limit of f(x)f(x) as xx approaches 00 does not exist

Testing continuity at a point

Evaluating continuity using the definition

  • To determine if a function is continuous at a point cc, first check if the function is defined at cc by evaluating f(c)f(c)
  • Next, evaluate the limit of f(x)f(x) as xx approaches cc from both the left and right sides. If the left-hand and right-hand limits exist and are equal, then the limit of f(x)f(x) as xx approaches cc exists
  • Finally, compare the value of the limit (if it exists) to the value of f(c)f(c). If they are equal, then the function is continuous at cc
    • Example: Consider the function f(x)=x21x1f(x) = \frac{x^2 - 1}{x - 1}. To check if ff is continuous at c=1c = 1, we first note that f(1)f(1) is undefined due to division by zero. However, the limit of f(x)f(x) as xx approaches 11 exists and equals 22. Since f(1)f(1) is undefined, the function is not continuous at c=1c = 1
  • If any of the three conditions for continuity are not satisfied, then the function is discontinuous at cc

Identifying points of discontinuity

  • To identify points of discontinuity, examine the function's definition and look for points where the function is undefined, has a jump in value, or has an infinite limit
    • Example: The function f(x)=1x2f(x) = \frac{1}{x - 2} has a point of discontinuity at x=2x = 2 because the function is undefined at this point due to division by zero
  • Points of discontinuity can also be identified by examining the graph of a function and looking for gaps, jumps, or asymptotes
    • Example: The graph of the function f(x)=1xf(x) = \frac{1}{\sqrt{x}} has a point of discontinuity at x=0x = 0 because the function is undefined for negative values of xx, resulting in a gap in the graph at x=0x = 0

Types of discontinuities

Removable discontinuities

  • A occurs when a function is undefined at a point cc, but the limit of the function as xx approaches cc exists
  • The function can be made continuous by redefining the value at the point of discontinuity to match the limit
    • Example: The function f(x)=x21x1f(x) = \frac{x^2 - 1}{x - 1} has a removable discontinuity at x=1x = 1. By redefining f(1)=2f(1) = 2 to match the limit value, the function becomes continuous at x=1x = 1

Jump discontinuities

  • A occurs when a function has a defined value at a point cc, but the left-hand and right-hand limits as xx approaches cc exist and are not equal
  • The function "jumps" from one value to another at the point of discontinuity
    • Example: The function f(x)={1,x<02,x0f(x) = \begin{cases} 1, & x < 0 \\ 2, & x \geq 0 \end{cases} has a jump discontinuity at x=0x = 0 because the left-hand limit is 11 and the right-hand limit is 22

Infinite discontinuities

  • An occurs when the limit of the function as xx approaches cc from either the left or right side (or both) is infinite
  • This can happen when the function approaches positive or negative infinity as xx approaches cc
    • Example: The function f(x)=1xf(x) = \frac{1}{x} has an infinite discontinuity at x=0x = 0 because the limit of f(x)f(x) as xx approaches 00 from both the left and right sides is infinite

Other types of discontinuities

  • Oscillating discontinuities occur when the function oscillates rapidly near the point of discontinuity
    • Example: The function f(x)=sin(1x)f(x) = \sin\left(\frac{1}{x}\right) has an at x=0x = 0 because the function oscillates more and more rapidly as xx approaches 00
  • Mixed discontinuities exhibit a combination of the above types
    • Example: The function f(x)={1x,x<02,x=0x2,x>0f(x) = \begin{cases} \frac{1}{x}, & x < 0 \\ 2, & x = 0 \\ x^2, & x > 0 \end{cases} has a at x=0x = 0, with an infinite discontinuity from the left and a jump discontinuity from the right

Key Terms to Review (20)

Approaching a limit: Approaching a limit refers to the process in which a function's output values get closer and closer to a specific number as the input values approach a particular point. This concept is crucial for understanding continuity and the behavior of functions, especially near points where they may not be defined. It plays an important role in calculus, as it helps to analyze the behavior of functions at boundaries and points of discontinuity.
Bolzano-Weierstrass Theorem: The Bolzano-Weierstrass Theorem states that every bounded sequence in $b{R}^n$ has a convergent subsequence whose limit lies within the same space. This theorem is fundamental in understanding the properties of sequences and functions, particularly in the context of continuity and optimization.
Boundedness: Boundedness refers to the property of a set or function being contained within specific limits. It means that there exists a number that serves as an upper and lower limit, ensuring that all elements stay within this range. Understanding boundedness is essential for analyzing various mathematical concepts, as it relates to integrability, continuity, and convergence, providing crucial insights into the behavior of functions and sequences.
Continuous Function: A continuous function is a type of function where small changes in the input result in small changes in the output. This means that as you approach a certain point on the function, the values of the function get closer and closer to the value at that point. This concept connects deeply with various mathematical ideas, such as integrability, differentiation, and limits, shaping many fundamental theorems and properties in calculus.
Discontinuous function: A discontinuous function is a function that is not continuous at one or more points in its domain. This means that at these points, the function either jumps, has a hole, or behaves in such a way that the limit does not equal the function's value. Understanding discontinuous functions is crucial as they challenge the notion of limits and continuity, which are foundational in mathematical analysis.
Heine-Borel Theorem: The Heine-Borel Theorem states that a subset of Euclidean space is compact if and only if it is closed and bounded. This theorem is essential in real analysis as it connects the concepts of compactness with two critical properties: closure and boundedness, making it easier to apply results related to continuity and convergence in the analysis of functions.
Infinite Discontinuity: Infinite discontinuity occurs at a point in a function where the function approaches infinity or negative infinity as it gets close to that point. This type of discontinuity indicates that the function does not have a finite limit at that point and is characterized by vertical asymptotes in its graph. Understanding infinite discontinuity is essential because it impacts the properties of integrable functions, the behavior of continuous functions, and the definition of continuity itself.
Intermediate Value Theorem: The Intermediate Value Theorem states that if a function is continuous on a closed interval \\[a, b\\] and takes on different values at the endpoints, then it must take every value between those two values at least once. This theorem is fundamental in understanding the behavior of continuous functions and has deep implications in calculus and analysis.
Jump Discontinuity: A jump discontinuity occurs in a function when there is a sudden 'jump' in the value of the function at a certain point, meaning the left-hand limit and right-hand limit at that point do not match. This type of discontinuity signifies that the function cannot be continuous at that point, as the value of the function does not settle into a single output. Jump discontinuities are crucial for understanding how functions behave in terms of integrability, continuity properties, and how they can be classified in mathematical analysis.
Limit at a Point: The limit at a point refers to the value that a function approaches as the input approaches a particular point. This concept is fundamental in understanding how functions behave near specific points and lays the groundwork for concepts like continuity, differentiability, and integrability.
Limit existence: Limit existence refers to the concept that a function approaches a specific value as the input approaches a certain point. This idea is crucial in understanding continuity, as it establishes whether a function behaves predictably around a point, allowing us to analyze its behavior and make conclusions about its overall properties.
Limit notation: Limit notation is a mathematical expression that describes the behavior of a function as its input approaches a specific value or infinity. This notation is fundamental in calculus, particularly when discussing continuity, derivatives, and integrals, as it helps to articulate the precise meaning of 'approaching' a particular value without necessarily reaching it. It allows mathematicians to evaluate how functions behave under certain conditions and is crucial for understanding concepts like continuity and differentiability.
Mixed discontinuity: Mixed discontinuity occurs when a function is not continuous at a point due to both a removable discontinuity and an infinite discontinuity. This type of discontinuity can be observed when a function has a hole at a point, which represents a removable discontinuity, and at the same time has an asymptote at that same point, leading to an infinite discontinuity. This dual nature makes mixed discontinuity particularly interesting as it highlights different behaviors of functions in proximity to the point of discontinuity.
Oscillating discontinuity: An oscillating discontinuity occurs when a function does not settle at any particular value as it approaches a point, but instead fluctuates wildly between two or more values. This kind of discontinuity illustrates that the limit does not exist due to the erratic behavior of the function around the point of discontinuity.
Piecewise Function: A piecewise function is a mathematical function defined by multiple sub-functions, each of which applies to a specific interval or condition. This allows for different expressions to be used for different parts of the domain, making it useful in modeling situations where behavior changes based on certain thresholds or values. Piecewise functions can help in understanding continuity, integration, and differentiability within various mathematical contexts.
Point of continuity: A point of continuity refers to a specific value in the domain of a function where the function is continuous. At this point, the value of the function matches the limit of the function as it approaches that point, meaning there are no breaks, jumps, or holes in the graph of the function. Continuity at a point ensures that small changes in input result in small changes in output, which is essential for understanding the behavior of functions in analysis.
Polynomial function: A polynomial function is a mathematical expression consisting of variables raised to whole number powers and combined using addition, subtraction, and multiplication. These functions can be represented in the general form $$f(x) = a_nx^n + a_{n-1}x^{n-1} + ... + a_1x + a_0$$, where the coefficients $$a_i$$ are real numbers and the degree $$n$$ is a non-negative integer. Polynomial functions are continuous and differentiable everywhere, making them essential in understanding limits, continuity, and series approximations.
Removable discontinuity: A removable discontinuity occurs at a point in a function where the function is not defined or does not match the limit, but can be 'removed' by redefining the function at that point. This type of discontinuity highlights important aspects of continuity and integrability, as it indicates that while the function may have a gap or break, it could be made continuous by appropriately assigning a value to the discontinuous point.
Uniform Continuity: Uniform continuity refers to a stronger form of continuity for functions, where the rate of change of the function is bounded uniformly across its entire domain. This means that for any given tolerance in the output, one can find a corresponding input tolerance that works for all points in the domain, rather than just at individual points. This concept is crucial when considering how functions behave over intervals and plays an important role in various properties of continuity, extreme value considerations, and understanding the completeness of metric spaces.
ε-δ definition: The ε-δ definition provides a rigorous way to define limits and continuity in mathematical analysis. It describes how close the output of a function can be to a certain limit as the input approaches a specific value, by using two parameters: ε (epsilon), representing how close we want the function's value to be to the limit, and δ (delta), indicating how close the input must be to the point in question. This concept is foundational for understanding not just limits and continuity but also how functions behave in different mathematical contexts.
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