Function limits are a key concept in calculus, describing how a function behaves as it approaches a specific point. They help us understand a function's behavior near a value, even if the function isn't defined there.

The definition of a limit involves both left-hand and right-hand limits. If these are equal, the overall limit exists. The epsilon-delta definition provides a rigorous mathematical way to prove limits exist.

Limits of Functions

Definition of a Limit

Top images from around the web for Definition of a Limit
Top images from around the web for Definition of a Limit
  • The f(x)f(x) as xx approaches a value aa is written as limxaf(x)=L\lim_{x \to a} f(x) = L, where LL is a real number
  • For the limit to exist, the left-hand limit limxaf(x)\lim_{x \to a^-} f(x) and right-hand limit limxa+f(x)\lim_{x \to a^+} f(x) must be equal to LL
    • If limxaf(x)limxa+f(x)\lim_{x \to a^-} f(x) \neq \lim_{x \to a^+} f(x), then limxaf(x)\lim_{x \to a} f(x) does not exist
  • One-sided limits are written as limxaf(x)\lim_{x \to a^-} f(x) for the left-hand limit and limxa+f(x)\lim_{x \to a^+} f(x) for the right-hand limit
  • Limits can be infinite
    • If f(x)f(x) increases without bound as xx approaches aa, then limxaf(x)=\lim_{x \to a} f(x) = \infty
    • If f(x)f(x) decreases without bound as xx approaches aa, then limxaf(x)=\lim_{x \to a} f(x) = -\infty

Epsilon-Delta Definition of a Limit

  • The epsilon-delta (ε\varepsilon-δ\delta) definition of a limit states: limxaf(x)=L\lim_{x \to a} f(x) = L if for every ε>0\varepsilon > 0, there exists a δ>0\delta > 0 such that if 0<xa<δ0 < |x - a| < \delta, then f(x)L<ε|f(x) - L| < \varepsilon
  • Graphically, for any ε\varepsilon-neighborhood (Lε,L+ε)(L-\varepsilon, L+\varepsilon) around the limit LL, there is always a δ\delta-neighborhood (aδ,a+δ)(a-\delta, a+\delta) around aa such that f(x)f(x) falls within the ε\varepsilon-neighborhood whenever xx is within the δ\delta-neighborhood (except possibly at aa)
  • To prove a limit exists using the ε\varepsilon-δ\delta definition, assume an arbitrary ε>0\varepsilon > 0 and demonstrate there exists a δ>0\delta > 0 that satisfies the definition
  • The ε\varepsilon-δ\delta definition provides a rigorous proof of a
    • Infinite limits require using the definition with different inequalities

Evaluating Limits

Graphical Evaluation

  • Graphically, the limit LL of a function ff at x=ax=a can be estimated by observing the yy-values that f(x)f(x) approaches on the graph as xx gets closer to aa from both sides
  • If there is an open circle at (a,f(a))(a, f(a)) on the graph, the function is undefined at x=ax=a but the limit still exists if the left and right-hand limits are equal
  • If there is a closed circle at (a,f(a))(a, f(a)), the function is defined at x=ax=a and limxaf(x)=f(a)\lim_{x \to a} f(x) = f(a)
  • Jump discontinuities on the graph indicate the left and right-hand limits are not equal, so the limit does not exist at that point

Numerical Evaluation

  • Numerically, limits can be approximated using tables of values for xx approaching aa
    • If f(x)f(x) approaches a single value LL from both sides of aa, the limit is LL
  • Numerical approximations may not always be conclusive, so other methods like graphing or the ε\varepsilon-δ\delta definition are needed to verify the limit

Limit vs Function Value

  • The limit of a function f(x)f(x) as xx approaches aa describes the behavior of the function near aa, but not necessarily at aa itself
    • It represents what yy-value the function gets arbitrarily close to
  • The value of the function f(a)f(a) is the yy-value of the function evaluated exactly at x=ax=a, if it is defined
  • Limits describe what is happening very close to a point, while the function value is exactly at that point
  • A limit can exist even if the function is not defined at the point
    • For example, f(x)=(x21)/(x1)f(x) = (x^2-1)/(x-1) is undefined at x=1x=1 but limx1f(x)=2\lim_{x \to 1} f(x) = 2
  • If a function is continuous at a point aa, then limxaf(x)=f(a)\lim_{x \to a} f(x) = f(a)
    • For discontinuous functions, the limit and function value are not equal
  • Jump discontinuities occur when limxaf(x)limxa+f(x)\lim_{x \to a^-} f(x) \neq \lim_{x \to a^+} f(x)
    • The function may still be defined at aa, but the sided limits are not equal so there is no overall limit

Key Terms to Review (15)

Continuity: Continuity refers to the property of a function that intuitively means it can be drawn without lifting a pen from the paper. A function is considered continuous at a point if the limit of the function as it approaches that point equals the function's value at that point. This concept is essential for various mathematical techniques, such as evaluating integrals, applying rules for limits, and determining convergence properties of sequences.
Convergent Sequence: A convergent sequence is a sequence of numbers that approaches a specific value, called the limit, as the index goes to infinity. This concept connects to the behavior of functions and limits, highlighting how sequences can be analyzed using various limit theorems and properties. Understanding convergent sequences is crucial for grasping the foundational ideas in mathematical analysis, especially in relation to Cauchy sequences and completeness.
Discontinuity: Discontinuity refers to a point at which a mathematical function is not continuous. This means there is a break, jump, or hole in the function's graph, preventing it from being smoothly connected at that point. Understanding discontinuity is crucial as it relates to limits, especially when determining whether a limit exists as one approaches that point from either side.
Divergent Series: A divergent series is a summation of terms that does not approach a finite limit as the number of terms increases, meaning the partial sums of the series do not converge to a specific value. Understanding divergent series is crucial in grasping the behavior of infinite sums and their implications on function limits, convergence concepts, and methods for testing convergence in series.
Factoring: Factoring is the process of breaking down an expression into a product of simpler expressions, known as factors. This method is essential in simplifying complex algebraic expressions and solving equations, making it easier to analyze the behavior of functions and their limits.
Finite limit: A finite limit refers to the value that a function approaches as the input approaches a certain point. This concept is essential in understanding how functions behave near specific points and helps in analyzing continuity and differentiability. The idea of finite limits is foundational in calculus, providing the groundwork for defining derivatives and integrals.
Infinite limit: An infinite limit refers to a situation where the values of a function increase or decrease without bound as the input approaches a certain point. This concept is crucial in understanding behavior near vertical asymptotes or the unbounded growth of functions, which can be observed when limits are evaluated at specific points or as inputs approach infinity.
L'hôpital's rule: L'Hôpital's rule is a method for finding limits of indeterminate forms, specifically those that arise in the context of calculus when evaluating limits that result in the forms $$\frac{0}{0}$$ or $$\frac{\infty}{\infty}$$. This rule states that if a limit yields one of these forms, you can take the derivative of the numerator and the derivative of the denominator separately, and then evaluate the limit again. This powerful technique helps to resolve otherwise tricky limit problems involving functions.
Lim: The term 'lim' represents the limit of a function or sequence, which describes the value that a function approaches as the input approaches a certain point. Limits are fundamental in analyzing the behavior of functions, particularly at points of discontinuity or as they approach infinity, and they serve as the cornerstone for defining concepts such as derivatives and integrals.
Limit of a function: The limit of a function describes the behavior of that function as its input approaches a certain value. It helps us understand the output of a function when we get very close to a specific point, even if the function isn’t defined at that point. This concept is foundational in calculus, influencing ideas about continuity, derivatives, and integrals, while also linking to one-sided limits and series expansions.
One-sided limit: A one-sided limit is the value that a function approaches as the input approaches a specific point from one side, either the left or the right. This concept is crucial in understanding the behavior of functions at points where they may not be defined or may behave differently from different directions. One-sided limits help establish continuity and differentiability at specific points, offering insights into the function's overall behavior.
Polynomial functions: Polynomial functions are mathematical expressions that involve variables raised to whole number powers and coefficients that can be real or complex numbers. They take the form $$f(x) = a_nx^n + a_{n-1}x^{n-1} + ... + a_1x + a_0$$, where the coefficients $$a_i$$ are constants, $$n$$ is a non-negative integer, and $$x$$ is the variable. These functions exhibit important properties such as continuity and differentiability, and they play a key role in approximation techniques like Taylor's theorem.
Rational Functions: Rational functions are mathematical expressions that can be represented as the ratio of two polynomial functions. These functions are significant because they can model various real-world situations and are often analyzed in relation to their limits, especially when approaching points where the function is undefined or exhibits vertical asymptotes.
Squeeze Theorem: The Squeeze Theorem is a mathematical principle that helps find the limit of a function by comparing it to two other functions that 'squeeze' it. When one function approaches a limit from above and another from below, and both converge to the same value, the function in between must also approach that value. This concept is crucial for establishing limits in various contexts, including sequences and functions.
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.
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.