Why Prove a Sequence Limit Directly?
A calculation or a pattern in the terms may suggest the limit of a sequence, but it does not show that the terms eventually lie within every prescribed distance of that limit. An epsilon-N proof supplies that guarantee: it starts with any positive tolerance \(\varepsilon\), then gives an index \(N\) after which every term is within \(\varepsilon\) of the proposed limit.
For a rational expression in the index, the key work is often algebraic. Subtract the proposed limit, simplify the resulting fraction, and bound its numerator from above and its denominator away from zero. The resulting estimate should make the error small when \(n\) is sufficiently large.
The index threshold may depend on \(\varepsilon\), and an explicit choice of \(N\) makes the proof complete. It is not necessary to find the smallest possible threshold; it is necessary to show that the one chosen works.
A Basic Strategy for Rational Expressions
Consider a sequence \(a_n=P(n)/Q(n)\), where \(P\) and \(Q\) are polynomials and \(Q(n)\ne0\) for the indices under consideration. For a proposed limit \(L\), begin with \(|a_n-L|\). Combining the terms over a common denominator often produces a numerator of lower degree than \(Q\). Then use simple power bounds: for \(n\ge1\), \(n^k\le n^m\) whenever \(0\le k\le m\).
For example, if a denominator has leading term \(b n^q\), with \(b\ne0\), and its remaining terms have degree at most \(q-1\), those lower-degree terms can be bounded by a constant times \(n^{q-1}\). For large enough \(n\), the leading term therefore controls the size of the whole denominator. This is what makes the fraction's error small.
Worked Example: A Quotient of Linear Polynomials
Worked Example: A Quotient of Linear Polynomials
Prove directly that \(\displaystyle a_n=\frac{5n+2}{2n+7}\) converges to \(\frac52\).
First subtract the proposed limit and combine the fractions:
For \(n\ge1\), \(4n+14\ge4n\). Thus
Given any \(\varepsilon>0\), choose \(N=\left\lfloor\frac{31}{4\varepsilon}\right\rfloor+1\). If \(n\ge N\), then \(n>\frac{31}{4\varepsilon}\), so \(\frac{31}{4n}<\varepsilon\). This proves the required inequality. For instance, if \(\varepsilon=0.01\), this choice gives \(N=776\), and \(\frac{31}{4(776)}=\frac{31}{3104}<0.01\). The limit is therefore \(\frac52\), as claimed.
Worked Example: Equal-Degree Polynomials
Worked Example: Equal-Degree Polynomials
Prove directly that \(\displaystyle a_n=\frac{3n^2-2n+1}{n^2+4n+5}\) converges to \(3\).
Subtract \(3\), combine over the common denominator, and take absolute values:
For \(n\ge1\), the numerator satisfies \(14n+14\le28n\), since \(14\le14n\). The denominator satisfies \(n^2+4n+5\ge n^2\). Consequently,
Given \(\varepsilon>0\), choose \(N=\left\lfloor\frac{28}{\varepsilon}\right\rfloor+1\). For \(n\ge N\), \(n>\frac{28}{\varepsilon}\), so \(28/n<\varepsilon\). For example, when \(\varepsilon=0.02\), \(N=1401\), and \(28/1401<0.02\). This verifies the epsilon-N condition and proves the limit is \(3\).
Worked Example: A Quotient with Limit Zero
Worked Example: A Quotient with Limit Zero
Prove directly that \(\displaystyle a_n=\frac{4n+3}{n^2+1}\) converges to \(0\).
Since the proposed limit is zero, the error is the absolute value of the term itself. For \(n\ge1\), \(4n+3\le7n\) because \(3\le3n\), and \(n^2+1\ge n^2\). Therefore,
Given \(\varepsilon>0\), take \(N=\left\lfloor\frac7\varepsilon\right\rfloor+1\). For every \(n\ge N\), \(n>\frac7\varepsilon\), and hence \(|a_n| \le 7/n<\varepsilon\). If \(\varepsilon=0.1\), this gives \(N=71\), and \(7/71<0.1\). Thus the sequence converges to \(0\).
Why the Leading Terms Determine These Limits
The examples reflect a general fact for rational expressions whose numerator's degree is no greater than the denominator's. Here the degree of a nonzero polynomial is the largest exponent with a nonzero coefficient. The leading coefficient is the coefficient of that term.
Here is an explicit bound that justifies the result. Write \(Q(n)=b_qn^q+\sum_{k=0}^{q-1}b_kn^k\), and let \(S=\sum_{k=0}^{q-1}|b_k|\). Let \(L\) be the proposed limit: \(a_q/b_q\) for equal degrees, or \(0\) for a numerator of lower degree. The polynomial \(H(n)=P(n)-LQ(n)\) has degree at most \(q-1\). Write its coefficients as \(h_k\), and set \(C=\sum_{k=0}^{q-1}|h_k|\), using \(C=0\) if \(H\) is identically zero.
For \(n\ge1\), each \(n^k\) with \(k\le q-1\) is at most \(n^{q-1}\). Applying the triangle inequality to the lower-degree terms gives \(|Q(n)-b_qn^q|\le S n^{q-1}\) and \(|H(n)|\le C n^{q-1}\). In particular, whenever \(n\ge 2S/|b_q|\),
This lower bound also proves that \(Q(n)\ne0\) for these indices. Since \(P(n)/Q(n)-L=H(n)/Q(n)\), the error is bounded as follows:
For any \(\varepsilon>0\), one explicit choice is
When \(n\ge N\), the denominator bound holds and \(n>2C/(|b_q|\varepsilon)\). If \(C>0\), the error bound is therefore strictly less than \(\varepsilon\); if \(C=0\), the error is identically zero for these indices. This establishes the epsilon-N condition. If the denominator is a nonzero constant (\(q=0\)), the only numerator degree allowed by the theorem is also zero, and the quotient is constant, so its limit is immediate.
A Common Denominator-Bound Mistake
A frequent error is to replace a denominator by its leading term as though all its lower-order terms increase its size. For example, consider \(a_n=n^2/(n^2-n)\) for \(n\ge2\). Its proposed limit is \(1\), and the exact error is
The incorrect calculation \(n^2-n\ge n^2\) would give the false bound \(|a_n-1|\le1/n\). In fact \(n^2-n<n^2\), so that denominator comparison goes in the wrong direction. For \(n\ge2\), however, \(n^2-n\ge n^2/2\), because \(n\le n^2/2\). The valid estimate is
Thus \(N=\max\{2,\lfloor2/\varepsilon\rfloor+1\}\) works: if \(n\ge N\), then \(2/n<\varepsilon\). The correction is to establish the denominator's lower bound with the lower-order terms included, rather than simply discarding them.
Putting the Proof Together
For a new rational-form sequence, organize the argument so every estimate contributes to the epsilon-N conclusion.
Identify the value \(L\) whose distance from the sequence terms will be controlled.
Compute \(|a_n-L|\) exactly before applying inequalities.
Find an upper bound for the absolute numerator and a positive lower bound for the denominator, valid for stated indices.
Make the final error bound less than \(\varepsilon\) for every \(n\ge N\), then state that this proves convergence.
These proofs are useful because they show exactly how large the index must be for any requested accuracy. They also make clear which algebraic facts support the limit, rather than relying only on the appearance of the first few terms or on a formal comparison of degrees.
Check Your Understanding
For each question, focus on the error estimate and on why the chosen threshold works for every later index.
- For \(\displaystyle a_n=\frac{2n+1}{n+3}\), what limit is suggested by the leading terms? Find \(|a_n-L|\) and a bound of the form \(K/n\).
- For \(\displaystyle b_n=\frac{n+2}{n^2+4}\), give an upper bound for \(|b_n|\) that tends to zero.
- Why must a proof bound the denominator away from zero before using a bound for a rational expression?
- In the equal-degree theorem, why does \(P(n)-LQ(n)\) have degree at most one less than \(Q\)?
- Suppose an estimate gives \(|a_n-L|\le 12/n\). Give an explicit integer \(N\) that works for a given \(\varepsilon>0\).