Intuition What this page is for
The parent note built the tools: the step u ( t − a ) , the delta δ ( t − a ) , the delay stamp e − a s , and the sifting rule. This page drills every case those tools can throw at you — so that when an exam or a real system hands you a weird input, you have already seen its cousin.
A quick reminder of the two objects, in plain words:
u ( t − a ) = a switch : value 0 before the instant t = a , value 1 after. The number a is when the switch flips .
δ ( t − a ) = a poke : zero everywhere except the single instant t = a , where it delivers a total "push" of 1 . It only makes sense inside an integral, where it obeys the sifting rule ∫ f ( t ) δ ( t − a ) d t = f ( a ) .
Definition The Laplace transform notation used on this page
The symbol L { ⋅ } is the Laplace transform — an operator that turns a function of time t into a function of a new variable s . In plain words, it is a machine: you feed in f ( t ) , out comes
L { f ( t )} = F ( s ) = ∫ 0 ∞ e − s t f ( t ) d t .
What is s ? A helper variable (think "frequency-like knob"). We never measure it in the real world; it exists only in the transformed picture, and it must be large enough (s > 0 for the functions here) for the integral to converge. Full details in Laplace Transform — Definition and Existence .
What is F ( s ) ? Just the name of the output; the capital letter matches the lower-case input (f → F , y → Y ).
The inverse L − 1 { ⋅ } is the machine run backwards : given F ( s ) it recovers the original f ( t ) . So L − 1 { F ( s )} = f ( t ) undoes L { f ( t )} = F ( s ) , the way arctan undoes tan .
Why use it at all? It converts a differential equation (hard: involves derivatives) into an algebra problem in s (easy: just divide), which we then invert back to time. See Solving IVPs with Laplace Transforms .
Definition The value exactly at the switch instant
t = a
We deliberately leave u ( a ) undefined (some texts set it to 2 1 , the midpoint of the jump from 0 to 1 ). Likewise δ ( t − a ) has no ordinary value at t = a — it is infinite in a way that only makes sense inside an integral. Why can we be so casual? Every quantity we compute here is an integral (the Laplace transform is an integral; sifting is an integral), and changing a function at a single isolated point never changes an integral. So the endpoint convention is harmless.
Every problem on this topic is one (or a mix) of the cells below. The final column names the worked example that covers it.
Cell
Scenario class
What makes it tricky
Example
A
Un-shifted g ( t ) u ( t − a )
g is not already written as g ( t − a ) — must rewrite first
Ex 1
B
Multi-piece step assembly
several boxcars, several delay stamps
Ex 2
C
Delta inside an integral (sifting)
plain evaluation, no ODE
Ex 3
D
Degenerate a = 0
u ( t ) and δ ( t ) at the very start
Ex 4
E
Delta at a shifted time driving an ODE
gate + shift on the output
Ex 5
F
Step forcing an ODE, watch steady state
limiting value as t → ∞
Ex 6
G
Both a step and a delta on the RHS
superpose two responses
Ex 7
H
Word problem (real impulse: a hammer/kick)
translate physics → δ
Ex 8
I
Exam twist : delta before t = 0 , or evaluate a delta outside its window
the sift lands where nothing is measured
Ex 9
We now sweep the matrix top to bottom.
L { t u ( t − 2 )}
Forecast: Guess first. The naive (wrong) instinct is e − 2 s ⋅ s 2 1 . Is g ( t ) = t already in the form g ( t − 2 ) ? No — the theorem needs the argument shifted. So we expect an extra term to appear once we fix that. Predict something like e − 2 s ( s 2 1 + s something ) .
Steps.
Recall the delay stamp: L { f ( t − a ) u ( t − a )} = e − a s F ( s ) . Why this step? It is the only rule that handles a u ( t − a ) factor — but it demands the multiplier be a function of ( t − a ) , not of t .
Rewrite t using ( t − 2 ) : t = ( t − 2 ) + 2 . Why this step? This forces the "( t − 2 ) " the theorem requires; the leftover + 2 is a constant we handle separately.
Split: t u ( t − 2 ) = ( t − 2 ) u ( t − 2 ) + 2 u ( t − 2 ) . Why this step? Now each piece is genuinely a function of ( t − 2 ) times u ( t − 2 ) .
Transform each piece. For ( t − 2 ) u ( t − 2 ) : here f ( t ) = t , F ( s ) = s 2 1 , giving e − 2 s s 2 1 . For 2 u ( t − 2 ) : here f ( t ) = 2 , F ( s ) = s 2 , giving e − 2 s s 2 . Why this step? Apply the stamp separately to each shifted piece.
Add: L { t u ( t − 2 )} = e − 2 s ( s 2 1 + s 2 ) .
Verify: The forecast's "extra term" is exactly s 2 , matching the + 2 from the rewrite. Sanity: if we had forgotten step 2 we'd have dropped that s 2 — this is precisely the classic mistake steel-manned in the parent note. ✓
Takeaway for cell A: whenever the multiplier is a bare g ( t ) , substitute t = ( t − a ) + a and expand before touching the theorem.
Worked example Transform the piecewise
f ( t ) = ⎩ ⎨ ⎧ 3 t 0 0 < t < 2 2 < t < 5 t > 5
Forecast: We will build f from boxcars and predict a plain s 3 plus several e − 2 s ( … ) and e − 5 s ( … ) stamps.
Steps.
Build the boxcar form from scratch. A boxcar u ( t − a ) − u ( t − b ) equals 1 on ( a , b ) and 0 elsewhere (switch on at a , off at b ). Isolate each piece:
The constant 3 lives on ( 0 , 2 ) : write 3 ( u ( t ) − u ( t − 2 ) ) .
The ramp t lives on ( 2 , 5 ) : write t ( u ( t − 2 ) − u ( t − 5 ) ) .
After t = 5 the function is 0 , so no term is needed.
Adding and using u ( t ) = 1 for t > 0 : f = 3 − 3 u ( t − 2 ) + t u ( t − 2 ) − t u ( t − 5 ) . Why? Each boxcar reveals exactly one interval and hides the rest, so their sum reproduces the piecewise graph.
L { 3 } = s 3 ; L { − 3 u ( t − 2 )} = − 3 ⋅ s e − 2 s . Why? Direct step transform L { u ( t − a )} = s e − a s .
t u ( t − 2 ) : reuse Ex 1's trick with a = 2 : = e − 2 s ( s 2 1 + s 2 ) . Why? Un-shifted multiplier.
− t u ( t − 5 ) : rewrite t = ( t − 5 ) + 5 , giving − e − 5 s ( s 2 1 + s 5 ) . Why? Same fix, now a = 5 .
Collect:
F ( s ) = s 3 − s 3 e − 2 s + e − 2 s ( s 2 1 + s 2 ) − e − 5 s ( s 2 1 + s 5 ) .
Simplify the e − 2 s group: − s 3 + s 2 = − s 1 , so
F ( s ) = s 3 + e − 2 s ( s 2 1 − s 1 ) − e − 5 s ( s 2 1 + s 5 ) .
Verify (value continuity check): At t → 2 − , f = 3 ; at t → 2 + , f = t = 2 . The figure below shows the input; the jump down from 3 to 2 at t = 2 is genuine (the function is discontinuous there), and our formula reproduces it since the 3 u term switches off while the t u term switches on. ✓
Figure — Ex 2 input graph. The blue segment is the constant 3 on ( 0 , 2 ) ; the yellow line is the ramp t on ( 2 , 5 ) ; the green segment is 0 after t = 5 . The open circle at ( 2 , 2 ) and filled circle at ( 2 , 3 ) mark the genuine downward jump (red arrow); the second red arrow marks the switch-off at t = 5 . This is exactly the graph our boxcar sum reproduces.
∫ − ∞ ∞ cos ( t ) δ ( t − 3 π ) d t and ∫ 0 ∞ e − 2 t δ ( t − 1 ) d t .
Forecast: The sifting rule says a delta at t = a just reads off the value of the rest of the integrand at t = a . So predict cos ( π /3 ) = 2 1 and e − 2 .
Steps.
Sifting: ∫ − ∞ ∞ f ( t ) δ ( t − a ) d t = f ( a ) . Why? This is the entire definition of δ — it picks out one value.
First integral: f ( t ) = cos t , a = 3 π ⇒ answer = cos 3 π = 2 1 . Why the answer is a plain number? The delta collapses the whole integral to one evaluation.
Second integral: f ( t ) = e − 2 t , a = 1 . Check the spike t = 1 lies inside the range [ 0 , ∞ ) — it does. ⇒ answer = e − 2 . Why check the range? If a fell outside the limits the integral would be 0 (Ex 9 covers that).
Verify: cos ( π /3 ) = 0.5 exactly; e − 2 ≈ 0.1353 . Both are checked numerically below. ✓
L { u ( t )} and L { δ ( t )} , and solve y ′ + 3 y = δ ( t ) , y ( 0 − ) = 0 .
Forecast: With a = 0 the delay stamp e − a s becomes e 0 = 1 . So expect the plainest possible transforms: s 1 for the step, 1 for the delta. The ODE should then just be a decaying exponential started by the kick at t = 0 .
Steps.
L { u ( t )} = s e − 0 ⋅ s = s 1 — identical to L { 1 } for t > 0 . Why? u ( t ) = 1 for all t > 0 ; the point t = 0 has zero width and cannot change an integral.
L { δ ( t )} = e − 0 ⋅ s = 1 . Why beautiful? The delta at the origin is the input whose transform is a flat 1 — "all frequencies equally," so the output is the system's raw impulse response.
ODE: s Y − y ( 0 − ) + 3 Y = 1 ⇒ ( s + 3 ) Y = 1 ⇒ Y = s + 3 1 . Why y ( 0 − ) = 0 ? We take the initial condition just before the kick, so the delta's punch shows up in the response, not the IC.
Invert: y ( t ) = L − 1 { s + 3 1 } = e − 3 t u ( t ) . Why the u ( t ) ? Nothing exists before t = 0 ; the kick creates a sudden jump of the response to 1 at t = 0 + .
Verify: Immediately after the kick, y ( 0 + ) = 1 — a unit jump caused by a unit impulse, exactly what an impulse of strength 1 should do to a first-order system. As t → ∞ , y → 0 : the system forgets the kick. ✓
y ′′ + 4 y = 3 δ ( t − 2 ) , y ( 0 ) = 0 , y ′ ( 0 ) = 0 .
Forecast: A still oscillator (natural frequency ω = 2 , since y ′′ + 4 y = 0 oscillates as cos 2 t , sin 2 t ) gets a kick of strength 3 at t = 2 . Predict: dead flat until t = 2 , then a sine of angular frequency 2 , scaled by the kick, and gated by u ( t − 2 ) .
Steps.
Transform: s 2 Y + 4 Y = 3 e − 2 s . Why e − 2 s ? L { δ ( t − 2 )} = e − 2 s ; zero ICs kill the sy ( 0 ) , y ′ ( 0 ) terms.
Solve algebraically: Y = s 2 + 4 3 e − 2 s . Why? Just divide.
Recognise L − 1 { s 2 + 4 1 } = 2 1 sin 2 t . Why the 2 1 ? Because L { sin ω t } = s 2 + ω 2 ω with ω = 2 , so we divide by ω = 2 to isolate s 2 + 4 1 .
Apply the delay stamp (shift and gate): y ( t ) = 3 ⋅ 2 1 sin ( 2 ( t − 2 ) ) u ( t − 2 ) = 2 3 sin ( 2 ( t − 2 ) ) u ( t − 2 ) . Why this step? Inverting the factor e − 2 s (see the delay stamp in Ex 1) must produce a shifted-and-gated version f ( t − 2 ) u ( t − 2 ) ; forgetting the gate would wrongly make y nonzero before the kick.
Verify (continuity of position): At t = 2 + , sin ( 2 ⋅ 0 ) = 0 , so y ( 2 + ) = 0 — position is continuous, as it must be for a second-order kick (a delta in y ′′ jumps the velocity , not the position). The velocity jump: y ′ ( 2 + ) = 2 3 ⋅ 2 cos 0 = 3 , matching the impulse strength 3 . ✓
Figure — Ex 5 kicked oscillator. The green segment shows y = 0 before the kick; the red arrow at t = 2 is the impulse 3 δ ( t − 2 ) ; the blue curve is the resulting sine 2 3 sin ( 2 ( t − 2 )) that switches on only for t > 2 . Note the curve starts at height 0 (position continuous) but with a nonzero slope (velocity kicked).
y ′ + 2 y = 4 u ( t − 1 ) , y ( 0 ) = 0 .
Forecast: Same shape as the parent's step example but scaled by 4 . Steady state of y ′ + 2 y = 4 is y = 2 (set y ′ = 0 ). Predict: 0 until t = 1 , then a rise toward 2 .
Steps.
Transform: s Y + 2 Y = s 4 e − s ⇒ Y = s ( s + 2 ) 4 e − s . Why? L { u ( t − 1 )} = s e − s .
Partial fractions: s ( s + 2 ) 1 = 2 1 ( s 1 − s + 2 1 ) . Why? To hit standard inverses s 1 → 1 , s + 2 1 → e − 2 t .
So s ( s + 2 ) 4 = 2 ( s 1 − s + 2 1 ) → 2 ( 1 − e − 2 t ) . Why the factor 2 ? The 4 times the 2 1 from partial fractions.
Apply delay: y ( t ) = 2 ( 1 − e − 2 ( t − 1 ) ) u ( t − 1 ) . Why? The factor e − s inverts as a shift by 1 and a gate u ( t − 1 ) .
Verify (limiting value): As t → ∞ , e − 2 ( t − 1 ) → 0 , so y → 2 — matches the forecast steady state. At t = 1 + : y = 2 ( 1 − 1 ) = 0 , continuous. ✓
Figure — Ex 6 step-forced rise. The green segment is y = 0 before the switch at t = 1 (red arrow); the yellow curve is the exponential rise; the dashed blue line marks the steady value 2 that the curve approaches but never overshoots.
y ′ + y = u ( t − 1 ) + δ ( t − 2 ) , y ( 0 ) = 0 .
Forecast: Two events. First a switch turns on at t = 1 (drives y toward 1 ), then a kick at t = 2 adds a sudden jump. By linearity the total answer is the sum of the two individual responses. Predict a rising curve from t = 1 , then a discontinuous upward jump at t = 2 .
Steps.
Transform: s Y + Y = s e − s + e − 2 s ⇒ Y = s ( s + 1 ) e − s + s + 1 e − 2 s . Why add them? The RHS is a sum, and Laplace is linear.
Step part: s ( s + 1 ) 1 = s 1 − s + 1 1 → 1 − e − t ; delay ⇒ ( 1 − e − ( t − 1 ) ) u ( t − 1 ) . Why? Standard partial fractions + delay stamp.
Delta part: s + 1 1 → e − t ; delay ⇒ e − ( t − 2 ) u ( t − 2 ) . Why no fraction to split? The delta's transform is just e − 2 s , leaving a clean s + 1 1 .
Sum:
y ( t ) = ( 1 − e − ( t − 1 ) ) u ( t − 1 ) + e − ( t − 2 ) u ( t − 2 ) .
Why simply add? Because the equation is linear : the response to a sum of inputs is the sum of the individual responses, so we superpose the step-response and the impulse-response.
Verify (jump at the kick): Just before t = 2 : y ( 2 − ) = 1 − e − 1 ≈ 0.632 . Just after: the delta adds e − ( 2 − 2 ) = e 0 = 1 , so y ( 2 + ) ≈ 1.632 . A first-order system jumps by exactly the impulse strength (= 1 ) — confirmed. ✓ (See Impulse Response and Convolution for why each kick just shifts a copy of e − t .)
Worked example A mass–spring at rest satisfies
y ′′ + 9 y = 0 (position y , natural angular frequency 3 ). At t = 6 π a hammer delivers an impulse of strength 6 . Find the motion.
Forecast: The model is y ′′ + 9 y = 6 δ ( t − 6 π ) , y ( 0 ) = y ′ ( 0 ) = 0 . Nothing moves until the strike; then a sine of angular frequency 3 . Amplitude should scale with the kick.
Steps.
Model the hammer as a delta of strength 6 at t = 6 π . Why a delta? A hammer acts over a near-zero time but delivers a fixed total impulse — exactly the parent note's "shrink the tap to zero" idea.
Transform: s 2 Y + 9 Y = 6 e − π s /6 ⇒ Y = s 2 + 9 6 e − π s /6 . Why? Zero ICs, L { δ } = e − a s .
L − 1 { s 2 + 9 1 } = 3 1 sin 3 t . Why the 3 1 ? L { sin 3 t } = s 2 + 9 3 , divide by ω = 3 .
Shift & gate: y ( t ) = 6 ⋅ 3 1 sin ( 3 ( t − 6 π ) ) u ( t − 6 π ) = 2 sin ( 3 t − 2 π ) u ( t − 6 π ) = − 2 cos ( 3 t ) u ( t − 6 π ) . Why this step? Inverting e − π s /6 forces a shift by 6 π plus the gate; then the identity sin ( 3 t − 2 π ) = − cos 3 t rewrites it in a tidier form.
Verify (units & velocity jump): Position continuous: at t = 6 π + , y = − 2 cos 2 π = 0 . Velocity jump y ′ ( 6 π + ) = 2 ⋅ 3 sin 2 π = 6 — equals the impulse strength divided by mass (= 1 ). Amplitude 2 = impulse / ω = 6/3 , as expected. ✓
∫ 0 ∞ t 2 δ ( t + 1 ) d t and ∫ 0 5 e t δ ( t − 7 ) d t .
Forecast: In both, the spike sits outside the integration range. A delta contributes only if its spike lies inside the limits; otherwise the integrand is zero everywhere that matters. Predict both integrals = 0 .
Steps.
First: δ ( t + 1 ) = δ ( t − ( − 1 )) spikes at t = − 1 . Why does this matter? The range starts at t = 0 ; the spike at − 1 is never included, so ∫ 0 ∞ ( … ) = 0 . (Contrast: over ∫ − ∞ ∞ it would give ( − 1 ) 2 = 1 .)
Second: spike at t = 7 , but the upper limit is 5 . Since 7 > 5 , the spike is excluded, so the integral = 0 . Why check both limits? The sift only fires when a lies in [ lower , upper ] ; here we must confirm the spike is neither below the lower limit nor above the upper one before concluding.
Verify: Both integrals return 0 because a ∈ / the integration interval. This is the trap most exams set — always locate the spike before applying sifting. ✓
Common mistake "A delta always sifts out
f ( a ) ."
Why it feels right: the sifting slogan sounds universal. The fix: it sifts f ( a ) only if a lies inside the integration limits. If the spike is outside, the integral is plainly 0 . Check the window first, sift second.
Recall Which cell, which fix? (hide and answer)
For g ( t ) u ( t − a ) with g not shifted, first rewrite g ( t ) as ::: g (( t − a ) + a ) , then expand.
A delta of strength k at t = a on a first-order y ′ + cy makes y jump at t = a by ::: exactly k .
A delta on the RHS of a second-order system jumps the ::: velocity (not the position — position stays continuous).
∫ 0 ∞ f ( t ) δ ( t − a ) d t equals f ( a ) only when ::: a ≥ 0 (the spike is inside [ 0 , ∞ ) ); otherwise it is 0 .
The delay stamp e − a s F ( s ) inverts to ::: f ( t − a ) u ( t − a ) — never forget the gate u ( t − a ) .
L − 1 { F ( s )} means ::: run the Laplace machine backwards — recover the time function f ( t ) from its transform F ( s ) .
Mnemonic "Shift, then GATE"
Every delayed inverse gets a gate u ( t − a ) bolted on. Say it out loud each time: "shift the argument, then gate the whole thing."