4.3.2Calculus III — Sequences & Series

Squeeze theorem for sequences

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What it actually says

  • The bounds only need to hold eventually (for nN0n \ge N_0). Limits ignore any finite chunk at the start.
  • The two outer sequences must converge to the same limit LL. If they go to different limits, the theorem says nothing.

WHY it's true — derivation from scratch

Setup. Fix any ε>0\varepsilon > 0. We must find NN so that bnL<ε|b_n - L| < \varepsilon for all nNn \ge N.

Step 1 — Use anLa_n \to L. Why? This is the lower wall. By definition of the limit, there is N1N_1 with anL<ε(nN1)    Lε<an.|a_n - L| < \varepsilon \quad (n \ge N_1) \;\Longrightarrow\; L - \varepsilon < a_n. We only keep the left half — that's all the lower wall can give us.

Step 2 — Use cnLc_n \to L. Why? This is the upper wall. There is N2N_2 with cnL<ε(nN2)    cn<L+ε.|c_n - L| < \varepsilon \quad (n \ge N_2) \;\Longrightarrow\; c_n < L + \varepsilon.

Step 3 — Combine with the squeeze. Why? Now we stack the inequalities. Let N=max(N0,N1,N2)N = \max(N_0, N_1, N_2) so all three facts hold at once. For nNn \ge N: Lε<anbncn<L+ε.L - \varepsilon < a_n \le b_n \le c_n < L + \varepsilon. Reading the outermost pieces: Lε<bn<L+ε    bnL<ε.L - \varepsilon < b_n < L + \varepsilon \;\Longleftrightarrow\; |b_n - L| < \varepsilon.

Step 4 — Conclude. Why? We produced the required NN for an arbitrary ε\varepsilon. That is exactly the definition of limnbn=L\lim_{n\to\infty} b_n = L. \blacksquare


Figure — Squeeze theorem for sequences

Worked examples


Common mistakes (steel-manned)


Active recall

Recall Quick self-test (cover the answers)
  • State the three conditions needed to conclude bnLb_n\to L by squeeze. → anbncna_n\le b_n\le c_n eventually; anLa_n\to L; cnLc_n\to L (same LL).
  • Why is one-sided bounding not enough? → It can't stop the sequence escaping on the other side.
  • What limit does cos(n2)n\frac{\cos(n^2)}{n} have, and which walls? → 00, walls ±1n\pm\frac1n.
  • True/false: bounds must hold from n=1n=1. → False, only for nN0n\ge N_0.
Squeeze theorem (sequences) — statement
If anbncna_n\le b_n\le c_n for all nN0n\ge N_0 and anLa_n\to L, cnLc_n\to L, then bnLb_n\to L.
Key requirement on the two outer sequences
They must converge to the SAME limit LL.
Why must the bound only hold "eventually"?
Limits ignore any finite number of initial terms.
limnsinnn\lim_{n\to\infty}\frac{\sin n}{n} and the walls used
00; walls 1nsinnn1n-\frac1n \le \frac{\sin n}{n}\le \frac1n.
limnn!nn\lim_{n\to\infty}\frac{n!}{n^n}
00 (bounded above by 1n\frac1n, below by 00).
limnnn\lim_{n\to\infty}\sqrt[n]{n}
11 (take logs: lnnn0\frac{\ln n}{n}\to0).
Why does one-sided bounding fail to give a limit?
The sequence could escape unboundedly on the unbounded side.
ε\varepsilon-step that lower wall ana_n supplies
Lε<anL-\varepsilon < a_n for nN1n\ge N_1.
ε\varepsilon-step that upper wall cnc_n supplies
cn<L+εc_n < L+\varepsilon for nN2n\ge N_2.
Index used to combine all three facts
N=max(N0,N1,N2)N=\max(N_0,N_1,N_2).

Recall Feynman: explain it to a 12-year-old

Imagine you're in a lift squeezed between your tall mom and your tall dad, and they both walk into the same room. You can't go to a different room — you're stuck between them, so you end up in the same room. A sequence trapped between two others that both head to the number LL must also land on LL. We use this when the middle thing (like sinn\sin n) wiggles too much to follow directly — we just put neat walls around it that both calm down to the same spot.


Connections

  • Limit of a sequence (epsilon-N definition) — the squeeze proof is pure ε\varepsilonNN.
  • Bounded sequences — supplies the walls (sinn1|\sin n|\le 1, etc.).
  • Algebra of limits (sum, product, quotient) — alternative tool when the sequence is tame.
  • Monotone convergence theorem — another existence-of-limit tool.
  • Squeeze theorem for functions — the continuous analogue; same ε\varepsilon logic.
  • Standard limits ( n-th roots, n!/n^n, ln n / n ) — classic squeeze applications.

Concept Map

too hard directly

needs

needs

holds for n >= N0

conclusion

a_n to L

c_n to L

stack inequalities

stack inequalities

arbitrary eps

example

Limit of messy b_n

Squeeze theorem

a_n <= b_n <= c_n eventually

a_n and c_n share limit L

Finite start ignored

b_n converges to L

Epsilon-band around L

Lower wall L-eps < a_n

Upper wall c_n < L+eps

L-eps < b_n < L+eps

sin n over n to 0

Hinglish (regional understanding)

Intuition Hinglish mein samjho

Squeeze theorem ka idea ekdam simple hai: agar koi sequence bnb_n do doosri sequences ana_n aur cnc_n ke beech phasi hui hai, aur dono outer sequences ek hi number LL par ja rahi hain, to beech wali bnb_n ko bhi majboori mein LL par hi jana padega. Socho teen log lift mein — niche wala aur upar wala dono ek hi floor par rukte hain, to beech wala bhi wahin ruk jayega. Bas yahi "sandwich" logic hai.

Yeh kaam aata hai jab middle sequence bahut messy ho, jaise sinnn\frac{\sin n}{n}. sinn\sin n to hamesha 1-1 se 11 ke beech naachta rehta hai, uska direct limit lena tough hai. Lekin hum likh dete hain 1nsinnn1n-\frac1n \le \frac{\sin n}{n} \le \frac1n. Dono walls 00 par ja rahe hain, isliye beech wala bhi 00 par — done!

Sabse important condition yaad rakhna: dono walls ka limit SAME hona chahiye. Agar ek wall 00 par ja raha hai aur doosra 55 par, to theorem kuch nahi batata — bnb_n kahin bhi ho sakta hai. Aur ek baat: inequality sirf "eventually" (yaani kisi N0N_0 ke baad) honi chahiye, shuru ke kuch terms se farak nahi padta, kyunki limit ko early terms ki parwah nahi hoti. Last tip — jab inequality ko divide ya multiply karo, sign ka dhyan rakho; positive (n>0n>0) se divide karoge to inequality ki direction safe rehti hai.

Go deeper — visual, from zero

Test yourself — Calculus III — Sequences & Series

Connections