1.1 Limits, Continuity, and Epsilon-Delta Definitions
Key Takeaways
- The epsilon-delta definition specifies that lim_{x->a} f(x) = L if and only if for every ε > 0, there exists δ > 0 such that 0 < |x - a| < δ implies |f(x) - L| < ε.
- Continuity at x = a requires three simultaneous criteria: f(a) is defined, lim_{x->a} f(x) exists, and lim_{x->a} f(x) = f(a).
- The Intermediate Value Theorem (IVT) guarantees the attainment of all intermediate values on connected intervals, while the Extreme Value Theorem (EVT) guarantees global extrema on compact sets.
- Discontinuities are rigorously classified into removable (limit exists but differs from f(a)), jump (one-sided limits exist and are finite but unequal), and essential (at least one one-sided limit fails to exist or is infinite).
- Canonical trigonometric limits, specifically lim_{x->0} (sin x)/x = 1 and lim_{x->0} (1 - cos x)/x^2 = 1/2, provide indispensable asymptotic benchmarks on the GRE Subject Test.
1.1 Limits, Continuity, and Epsilon-Delta Definitions
Differential calculus rests upon the concept of the limit, establishing the rigorous analytical foundation for continuity and differentiability. On the GRE Mathematics Subject Test, questions test formal $\varepsilon$-$\delta$ mechanics, topological implications of continuity, and the precise classification of discontinuities.
The Formal Epsilon-Delta Definition of a Limit
Let $f: D \to \mathbb{R}$ with accumulation point $a$ of $D$. We say $\lim_{x \to a} f(x) = L$ if:
Key Structural Rules
- Quantifier Hierarchy: Tolerance $\varepsilon > 0$ is given first. Radius $\delta > 0$ depends on $\varepsilon$ and $a$, denoted $\delta(\varepsilon, a)$. In uniform continuity, $\delta$ depends solely on $\varepsilon$.
- Punctured Neighborhood: The condition $0 < |x - a|$ excludes $x = a$. The value $f(a)$ need not exist and does not affect $L$.
- One-Sided Limits: The right limit $\lim_{x \to a^+} f(x) = L$ restricts inputs to $x > a$; the left limit $\lim_{x \to a^-} f(x) = L$ restricts to $x < a$. The two-sided limit exists if and only if both exist and agree: $\lim_{x \to a^-} f(x) = \lim_{x \to a^+} f(x) = L$.
- Infinite Limits: $\lim_{x \to a} f(x) = \infty \iff \forall M > 0, \exists \delta > 0$ such that $0 < |x - a| < \delta \implies f(x) > M$.
Continuity, IVT, and EVT
A function $f$ is continuous at $a$ if $\lim_{x \to a} f(x) = f(a)$, requiring three criteria:
- $f(a)$ is defined ($a \in \operatorname{Dom}(f)$).
- $\lim_{x \to a} f(x)$ exists in $\mathbb{R}$.
- $\lim_{x \to a} f(x) = f(a)$.
Intermediate Value Theorem (IVT)
If $f: [a, b] \to \mathbb{R}$ is continuous and $u$ lies between $f(a)$ and $f(b)$, there exists $c \in (a, b)$ with $f(c) = u$. Continuous maps preserve connectedness.
- Root Finding: If $f(a) f(b) < 0$ on $[a, b]$, then $f(c) = 0$ for some $c \in (a, b)$.
Extreme Value Theorem (EVT)
If $K \subset \mathbb{R}$ is compact (closed and bounded) and $f: K \to \mathbb{R}$ is continuous, then $f(K)$ is compact. Thus $f$ attains an absolute maximum $M$ and minimum $m$ on $K$:
Classification of Discontinuities
Discontinuities at $x = a$ are classified by one-sided limits:
| Type | Mathematical Criteria | Structural Remedy / Nature |
|---|---|---|
| Removable | $\lim_{x \to a} f(x) = L \in \mathbb{R}$ exists, but $f(a) \neq L$ | Setting $f(a) = L$ removes the discontinuity |
| Jump | Finite limits $\lim_{x \to a^-} f(x) \neq \lim_{x \to a^+} f(x)$ exist | Jump magnitude is $ |
| Essential | At least one one-sided limit fails to exist in $\mathbb{R}$ | Infinite ($1/x$) or oscillatory ($\sin(1/x)$) |
The Squeeze Theorem and Standard Asymptotics
If $g(x) \le f(x) \le h(x)$ near $a$ and $\lim_{x \to a} g(x) = \lim_{x \to a} h(x) = L$, then $\lim_{x \to a} f(x) = L$.
Standard First-Order Limits
- $\lim_{x \to 0} \frac{\sin x}{x} = 1$
- $\lim_{x \to 0} \frac{1 - \cos x}{x^2} = \frac{1}{2}$
- $\lim_{x \to 0} \frac{\tan x}{x} = 1, \quad \lim_{x \to 0} \frac{\arctan x}{x} = 1$
- $\lim_{x \to 0} |x|^\alpha \sin(1/x) = 0$ for any $\alpha > 0$
Step-by-Step Worked Problems
Problem 1: Rigorous $\varepsilon$-$\delta$ Verification
Prove $\lim_{x \to 2} (3x^2 - 5x) = 2$ using the $\varepsilon$-$\delta$ definition.
Solution:
- Target error: $|(3x^2 - 5x) - 2| = |(3x + 1)(x - 2)| = |3x + 1| \cdot |x - 2|$.
- Set $\delta_0 = 1$. Then $|x - 2| < 1 \implies 1 < x < 3$, so $4 < 3x + 1 < 10$, giving $|3x + 1| < 10$.
- Thus $|f(x) - 2| < 10 |x - 2|$. To ensure this is $< \varepsilon$, require $|x - 2| < \varepsilon / 10$.
- Choose $\delta = \min(1, \varepsilon / 10)$. If $0 < |x - 2| < \delta$, then $|(3x^2 - 5x) - 2| < 10(\varepsilon / 10) = \varepsilon$.
Problem 2: Squeeze Theorem Evaluation
Compute $\lim_{x \to 0} \frac{x^2 \sin(1/x) + 3 \sin(2x)}{2x + \tan(4x)}$.
Solution:
- Divide numerator and denominator by $x$:
- Because $|\sin(1/x)| \le 1$, $-|x| \le x \sin(1/x) \le |x|$, yielding $\lim_{x \to 0} x \sin(1/x) = 0$ by the Squeeze Theorem.
- The numerator approaches $0 + 6(1) = 6$ and the denominator approaches $2 + 4(1) = 6$.
- The limit evaluates to $6 / 6 = 1$.
GRE Exam Traps & Pitfalls
Trap 1: Applying EVT on Non-Closed or Unbounded Sets EVT fails without compactness. The function $f(x) = 1/x$ on $(0, 1]$ is continuous on a bounded set but unbounded near $0$. Similarly, $f(x) = x$ on $[0, \infty)$ is continuous on a closed set but has no maximum.
Trap 2: Concluding Continuity From Limit Existence Limit existence $\lim_{x \to a} f(x) = L$ does not guarantee continuity. If $f(a)$ is undefined or $f(a) \neq L$, $f$ has a removable discontinuity at $a$.
Trap 3: Reversed Epsilon-Delta Quantifiers Beware the statement "$\exists \delta > 0, \forall \varepsilon > 0$". That reverses quantifiers and asserts a single $\delta$ works for all $\varepsilon$, which forces $f$ to be locally constant.
What is the value of the limit lim_{x -> 0} [ (x^3 cos(1/x) + 2 sin(x) tan(3x)) / (x^2 + 1 - cos(2x)) ]?
Consider the function f: R -> R defined by f(x) = (x^2 - 4)/(x - 2) for x != 2, and f(2) = 5. Which statement correctly characterizes f at x = 2?
Let f: [0, 1] -> R be a function satisfying the Hölder condition |f(x) - f(y)| <= 5 |x - y|^(1/2) for all x, y in [0, 1]. Which of the following conclusions is guaranteed to hold?