4.1.5 · D3Calculus I — Limits & Derivatives

Worked examples — Squeeze theorem (sandwich theorem)

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Before we start, one reminder in plain words. The symbol is read "as gets closer and closer to the number (but never equals it), the value gets closer and closer to ." The arrow means "approaches." We never arrive at ; we sneak up on it. Everything below rests on that one idea, powered underneath by the Limit definition (epsilon-delta).


The scenario matrix

Every squeeze problem falls into one of these cells. Each row is a class of difficulty; the last column names the worked example that covers it.

Cell What makes it tricky Covered by
A. Positive multiplier Bounded wiggle a factor that is always Example 1
B. Sign-changing multiplier Multiplier can be negative near — inequality may flip Example 2
C. Both one-sided limits and behave differently; must check both sides Example 3
D. Sequence version instead of Example 4
E. Degenerate / walls-don't-meet The bounds tend to different values → theorem gives nothing Example 5
F. Limit at infinity (function) , bounds shrink to Example 6
G. Real-world word problem A physical damped oscillation Example 7
H. Exam twist Bound is not obvious; must construct it Example 8

We now hit every cell.


Example 1 — Cell A: positive multiplier

This is the Bounded times vanishing pattern: bounded (something ) .


Example 2 — Cell B: the multiplier changes sign


Example 3 — Cell C: one-sided limits, checked separately

Figure — Squeeze theorem (sandwich theorem)

Step 1 (right side, ). Look at the figure: the unit circle, an angle measured in radians (arc length on a radius-1 circle). Three regions nest: Their areas are , , respectively. So . Why this step? We need to compare to itself, and geometry gives us that comparison for free — the sector is squeezed between two triangles you can see in the picture.

Step 2. Divide the chain by (positive for ), then take reciprocals (which flips to ): Why this step? We rearrange until the middle is exactly the quantity we want. Reciprocating a chain of positives reverses it, hence the flip.

Step 3. As : (walls meet). Squeeze .

Step 4 (left side, ). The function is even: replacing by gives , unchanged. Why this step? Evenness means the graph is mirror-symmetric about the vertical axis. Concretely, for any write with ; then , and as we have , so the left-hand values are literally the same numbers as the right-hand ones. Hence too.

Step 5 (glue the two sides). A two-sided limit exists and equals exactly when both one-sided limits exist and equal that same — this is the definition of a two-sided limit unpacked. Here both sides gave , so the loop is closed. Why this step? Steps 3 and 4 only proved the right and left limits separately; this step states the rule that lets us combine them into the single two-sided statement.

Conclusion. Both one-sided limits equal , so the two-sided (See Limits of trigonometric functions.)

Verify: : . : same value by evenness . Both hug . ✓


Example 4 — Cell D: the sequence version


Example 5 — Cell E: degenerate case, walls DON'T meet

Figure — Squeeze theorem (sandwich theorem)

Step 1. The bounds are honest: for all . Why this step? Same cage as always. Nothing wrong with the inequality itself.

Step 2. Check the walls' limits. and . Why this step? The parent's golden rule: the theorem concludes only when both walls tend to the same . Here the lower wall sits at , the upper at . They never meet.

Step 3. Because the walls stay a full distance apart, there is a wide corridor for to roam. Look at the figure: as the graph oscillates between and forever, faster and faster. It never settles. Why this step? No common means squeeze gives no conclusion. And indeed the limit genuinely does not exist — this is an Oscillating functions failure.

Conclusion. Squeeze theorem: no conclusion (walls differ). The true limit: does not exist.

Verify: Sample gives ; sample gives . Two subsequences approach but the function heads to on one and on the other → no single limit. ✓ This is why you must make the walls tight.


Example 6 — Cell F: limit at infinity of a function


Example 7 — Cell G: real-world word problem (damped vibration)

Figure — Squeeze theorem (sandwich theorem)

Step 1. Cage the buzz: for all . Why this step? However fast the string vibrates, cosine stays in . The frequency is irrelevant to the cage.

Step 2. Multiply by . Exponentials are always positive ( for every ), so the direction is preserved: Why this step? This is cell A again in disguise — is our non-negative multiplier. Why an exponential here and not, say, ? Because physical damping (friction, air resistance) removes a fixed fraction of energy per unit time, and the function that shrinks by a constant fraction each step is precisely the exponential .

Step 3. As , and (the walls, an envelope, collapse — see the two dashed curves hugging the wiggle in the figure). Why this step? Both walls tend to the same value .

Conclusion. metres — the string comes to rest at its equilibrium position.

Verify: At : , , so m — under a millimetre in size, trapped inside . Units are metres throughout. ✓ The vibration hasn't stopped, but its size has shrunk to nothing.


Example 8 — Cell H: exam twist (you must construct the bound)


Recall Quick self-test on the matrix

Which cell has NO conclusion, and why? ::: Cell E — the two walls tend to different values ( and ), so squeeze says nothing; the limit truly doesn't exist. In Example 2, why use instead of ? ::: is negative on the left of and would flip the inequality; never flips it. In Example 8, what made the denominator safe to divide by? ::: always, so it's never zero or negative. Why is (not ) the right damping wall in Example 7? ::: Physical damping removes a fixed fraction of energy per unit time — that constant-fraction decay is exactly exponential. Why is proving both one-sided limits equal enough for the two-sided limit in Example 3? ::: A two-sided limit exists and equals exactly when both one-sided limits exist and equal that same .


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