Tails, Subsequences, and What Happens Eventually
Convergence is determined by the terms of a sequence far enough along, not by any fixed finite collection of early terms. Tails make this idea precise. Subsequences let us inspect selected terms, provided their original order is preserved. Together, these concepts explain two useful facts: deleting finitely many terms does not change convergence, and every subsequence of a convergent sequence converges to the same limit. The reverse inference from one convergent subsequence to the full sequence, however, can fail.
Let \(X\) be a topological space, and let \((x_n)\) be a sequence in \(X\). Recall that \(x_n\to x\) means that for every open neighborhood \(U\) of \(x\), there is an \(N\in\mathbb{N}\) such that \(x_n\in U\) whenever \(n\ge N\).
The indices of a subsequence must increase strictly: a subsequence retains the original order and cannot repeat a term by selecting the same index twice. Every tail is itself a subsequence, obtained from the indices \(N,N+1,\ldots\). More generally, a subsequence need not contain every term after some index; it may skip terms indefinitely.
“Eventually” does not mean “for most indices” or “after a large proportion of the sequence.” It means there is one index after which the property holds for every term. For example, \(x_n\in A\) eventually means that there is an \(N\) such that \(x_n\in A\) for all \(n\ge N\). The initial terms \(x_1,\ldots,x_{N-1}\) may or may not belong to \(A\).
Finite Changes and Convergence
Proof. Suppose \(x_n\to x\), and fix a tail starting at \(N_0\). Let \(U\) be any open neighborhood of \(x\). By convergence, there is an \(N\) such that \(x_n\in U\) whenever \(n\ge N\). For the tail, all its terms from the position \(\max(N,N_0)\) onward have original indices at least \(N\), so they belong to \(U\). Thus the tail converges to \(x\). Conversely, suppose the tail starting at \(N_0\) converges to \(x\). Given an open neighborhood \(U\) of \(x\), there is a position \(M\) in that tail such that its terms from position \(M\) onward lie in \(U\). Those are precisely original terms with indices at least \(N_0+M-1\), so the original sequence also converges to \(x\). A finite change leaves a tail unchanged, and the two directions just proved show that the original and changed sequences have the same convergence behavior. \(\square\)
The theorem concerns convergence to a specified point \(x\). It does not require \(X\) to be Hausdorff, so it remains valid even when a sequence can have more than one limit. The proof uses only the neighborhood definition of convergence.
Worked Example: Changing the First Two Terms
In \(\mathbb{R}\) with its standard topology, define \(x_1=7\), \(x_2=-2\), and \(x_n=1/(n-2)\) for \(n\ge3\). Determine the limit and explain why the first two terms do not affect it.
The tail starting at \(N=3\) is \((1,1/2,1/3,\ldots)\). To verify its limit, let \(\varepsilon>0\). Choose \(m\in\mathbb{N}\) with \(m>1/\varepsilon\), and set \(N=m+2\). For every \(n\ge N\), we have \(n-2\ge m\), so \(0<x_n=1/(n-2)\le1/m<\varepsilon\). This is the neighborhood criterion for \(x_n\to0\) in the usual topology on \(\mathbb{R}\). Theorem 1 gives the same limit for the full sequence, despite \(x_1=7\) and \(x_2=-2\).
Check: for every \(n\ge m+2\), the displayed bound gives \(|x_n-0|=1/(n-2)\le1/m<\varepsilon\). Thus the terms really do lie in the \(\varepsilon\)-neighborhood \((-\varepsilon,\varepsilon)\) of \(0\).
The same reasoning applies to any property that is stated term by term. If a property holds eventually for a sequence, deleting some initial terms preserves that eventual property. Conversely, adding or changing finitely many initial terms cannot turn a property that fails at arbitrarily large indices into one that holds eventually.
Subsequences of Convergent Sequences
Proof. Let \(U\) be any open neighborhood of \(x\). Since \(x_n\to x\), there is an \(N\in\mathbb{N}\) such that \(x_n\in U\) whenever \(n\ge N\). A strictly increasing sequence of positive integers satisfies \(n_k\ge k\) for every \(k\): this follows by induction, since \(n_1\ge1\) and \(n_{k+1}\ge n_k+1\). Therefore, for every \(k\ge N\), we have \(n_k\ge k\ge N\), and hence \(x_{n_k}\in U\). Every open neighborhood of \(x\) eventually contains the subsequence terms, so \(x_{n_k}\to x\). \(\square\)
The increasing-index condition is what makes the proof work: once the original sequence has entered a neighborhood and stays there, a subsequence eventually selects only terms from that part of the sequence. The argument does not require the selected indices to be consecutive, or \(X\) to have a metric.
Worked Example: A Subsequence of \(1/n\)
In \(\mathbb{R}\) with its standard topology, let \(x_n=1/n\) for \(n\in\mathbb{N}\), and select the subsequence with indices \(n_k=2k\). Verify the convergence of this subsequence to \(0\) directly.
Its terms are \(x_{n_k}=1/(2k)\). Given \(\varepsilon>0\), choose \(K\in\mathbb{N}\) with \(K>1/(2\varepsilon)\). For every \(k\ge K\), \(0<1/(2k)\le1/(2K)<\varepsilon\). Thus \(x_{n_k}\to0\). This agrees with Theorem 2, since \(1/n\to0\).
Check: for \(k\ge K\), the actual distance from the subsequence term to its proposed limit is \(|x_{n_k}-0|=1/(2k)\), and the bound above makes this distance strictly less than \(\varepsilon\).
Eventual membership also passes from a sequence to each of its subsequences. If \(x_n\in A\) for all \(n\ge N\), then \(x_{n_k}\in A\) for all \(k\ge N\), because \(n_k\ge k\ge N\). The same argument applies to any condition on the terms, not just membership in a subset. For a convergent sequence, apply this to the condition that the terms lie in a given open neighborhood of the limit.
Worked Example: An Eventual Neighborhood Condition
Again take \(x_n=1/n\) in \(\mathbb{R}\) with the standard topology. Consider the open neighborhood \(U=(-1/10,1/10)\) of \(0\). Determine when the sequence and the subsequence \(x_{2k}\) enter \(U\).
For the original sequence, \(1/n\in U\) exactly when \(1/n<1/10\), which, for positive \(n\), is equivalent to \(n>10\). Thus \(x_n\in U\) for every \(n\ge11\), but not for \(n=10\), since \(x_{10}=1/10\) is an endpoint excluded from \(U\).
For the subsequence, \(x_{2k}=1/(2k)\in U\) exactly when \(1/(2k)<1/10\), or \(2k>10\), which is equivalent to \(k>5\). Hence every subsequence term from \(k=6\) onward lies in \(U\). The strict inequalities matter: at \(k=5\), the term is \(1/10\), which is not in \(U\).
Check: the first included original index is \(n=11\), for which \(x_{11}=1/11<1/10\). The first included subsequence index is \(k=6\), for which \(x_{12}=1/12<1/10\); the preceding subsequence term is \(x_{10}=1/10\notin U\).
Why One Convergent Subsequence Is Not Enough
Theorem 2 says that convergence of the full sequence guarantees convergence of every subsequence to the same limit. It does not say that convergence of one subsequence guarantees convergence of the full sequence. A selected subsequence can skip terms that continue to behave differently.
Worked Example: An Alternating Sequence
In \(\mathbb{R}\) with its standard topology, let \(x_n=(-1)^n\). Its even-indexed subsequence is constant at \(1\), so it converges to \(1\). Its odd-indexed subsequence is constant at \(-1\), so it converges to \(-1\). We verify that the full sequence does not converge.
Suppose, for contradiction, that \(x_n\to L\). The subsequence theorem implies that both the even and odd subsequences converge to \(L\). A constant sequence with value \(c\) can converge only to \(c\) in the usual topology: if \(L\ne c\), the open interval \((L-|L-c|/2,L+|L-c|/2)\) contains \(L\) but not \(c\), so no term of the constant sequence lies in that neighborhood. Consequently, the even subsequence would force \(L=1\), while the odd subsequence would force \(L=-1\), a contradiction. Therefore the full sequence does not converge.
Check: the even terms are \(x_{2k}=(-1)^{2k}=1\), and the odd terms are \(x_{2k-1}=(-1)^{2k-1}=-1\), for every \(k\in\mathbb{N}\). Since \(1\ne-1\), the two constant subsequences cannot converge to the same point.
A common mistake is to see \(x_{2k}=1\) and conclude that \(x_n\to1\). That calculation checks only the even indices. The odd indices give \(x_{2k-1}=-1\), so terms equal to \(-1\) occur arbitrarily far along the full sequence. For instance, the open neighborhood \((1/2,3/2)\) of \(1\) excludes every odd-indexed term. No matter how far along one starts, some later term remains outside that neighborhood. The convergence condition therefore fails.
The distinction is useful whenever a sequence is studied by selecting indices. A subsequence can confirm the behavior of its own selected terms, and every subsequence of a convergent sequence must inherit the limit. But a conclusion about the full sequence must account for all sufficiently late terms, not just one selection. No separation hypothesis is needed for the two preservation theorems; the examples showing failure of the converse use the usual Hausdorff topology on \(\mathbb{R}\).
Check Your Understanding
For each question, keep track of the indices as well as the values of the terms.
- If \(x_n\to x\), explain why the tail starting at any \(N\in\mathbb{N}\) converges to \(x\).
- Let \(x_n=1/n\) in the usual topology on \(\mathbb{R}\). For the subsequence \(x_{3k}\), find the first \(k\) for which \(x_{3k}\in(-1/10,1/10)\).
- Give an example of a sequence with a convergent subsequence whose full sequence does not converge, and justify both claims.
- Explain why the indices of a subsequence must be strictly increasing, and why \(n_k\ge k\).
- Suppose a sequence is eventually in a subset \(A\subseteq X\). Prove that every subsequence is eventually in \(A\).