2.3 Limits: Laws, Substitution, and Squeeze
Limit Laws Overview
Sum Law:
Difference Law:
Constant Multiple Law:
Product Law:
Quotient Law:
Power Law: \lim{x\to a}[f(x)]^{n} = \left(\lim{x\to a}f(x)\right)^{n},\quad n\in\mathbb{Z}_{>0}
Root Law: \lim{x\to a}[f(x)]^{1/n} = \left(\lim{x\to a}f(x)\right)^{1/n},\quad n\in\mathbb{Z}_{>0}
Special limits:\n • \n • \lim{x\to a} x^{n} = a^{n},\quad n\in\mathbb{Z}_{>0}
If , then and (for appropriate domain, especially when even roots are involved)
Direct Substitution and Continuity
- Direct Substitution Property: If f is a polynomial or a rational function and a is in the domain of f, then
- Continuity: such functions are continuous at a
- If substitution yields an indeterminate form like 0/0, use algebraic simplification (e.g., factoring, canceling common factors) to proceed
One-Sided Limits
- Theorem: exists iff both one-sided limits exist and are equal:
- One-sided limit laws apply in the same way as two-sided limits
The Squeeze Theorem
- If near a (except possibly at a) and , then
- Also called the Sandwich Theorem/Squeeze Theorem
- Example form: if , then for any nearby a where x→0, and since , we get
Evaluating Limits by Direct Substitution
- If f is a polynomial or rational and a is in the domain, then direct substitution yields the limit
- If not directly substitutable, use algebraic manipulation (e.g., factorization, cancellation) to remove removable discontinuities
Quick Reference Rules (Summary)
- If a limit of f and g exists, the limit of sums, differences, products, and quotients (with nonzero denominator) follows the corresponding algebraic rule
- If the inner function tends to L, powers and roots carry through as per Power/Root Laws
- For limits of composite expressions, reduce to a form where the limit laws can be applied
Example Highlights (Memorandum)
- When evaluating limits graphically or via algebra:
- Use Sum, Difference, Product, Quotient Laws to combine known limits
- Use Direct Substitution for polynomials and rational functions once feasible
- Use the Squeeze Theorem for products with bounded oscillations, e.g., limits involving sin(1/x)