This page hammers the derivative rule from the parent property against every kind of case it can meet. Read the matrix first, then each worked example tells you exactly which cell it lives in.
Intuition The one tool we keep reusing
Every example below runs the same three-move machine: (1) transform the ODE using L { f ′ } = s F ( s ) − f ( 0 ) and L { f ′′ } = s 2 F ( s ) − s f ( 0 ) − f ′ ( 0 ) , (2) solve the resulting algebra in s , (3) invert back to t . What changes from case to case is only which corner of the machine gets stressed — a zero initial condition, a nonzero one, a forcing term, roots that are real / repeated / complex, or a value given away from t = 0 .
Here s is the Laplace variable, Y = L { y } the transform of the unknown, and "IC" means initial condition (a value of y or its derivative at a chosen time). Each row is a distinct case class ; the last column names the example that covers it.
Case class
What makes it different
Covered by
1st order, nonzero IC
the − f ( 0 ) fee is actually nonzero
Ex 1
1st order, zero IC + forcing
fee vanishes, forcing s 1 enters
Ex 2
2nd order, two real roots (s 2 − a 2 )
denominator factors into ( s − a ) ( s + a )
Ex 3
2nd order, complex roots (oscillation)
denominator s 2 + ω 2 → sin/cos
Ex 4
2nd order, repeated root (critical)
denominator ( s + a ) 2 → t e − a t
Ex 5
Degenerate : n = 0 / constant / pure decay limit
check the rule doesn't break at edges
Ex 6
Word problem (real units)
RC circuit / cooling, physical meaning
Ex 7
Exam twist : IC given not at t = 0
formula's boundary sits at 0 — must shift
Ex 8
Every numeric answer that appears below is machine-checked in the verify block.
Worked example Ex 1 — 1st order, nonzero IC ·
Case 1
Solve y ′ + 2 y = 0 , y ( 0 ) = 5 .
Forecast: Pure exponential decay starting at 5 ; guess y = 5 e − 2 t .
Transform both sides. ( s Y − y ( 0 ) ) + 2 Y = 0 .
Why this step? Replace y ′ by s Y − y ( 0 ) — the whole point of the property; the ODE becomes algebra.
Insert the IC. y ( 0 ) = 5 : s Y − 5 + 2 Y = 0 ⇒ ( s + 2 ) Y = 5 .
Why this step? The − f ( 0 ) fee is exactly where the 5 enters — no extra constant to fit later.
Solve the algebra. Y = s + 2 5 .
Invert. Using L { e a t } = s − a 1 with a = − 2 : y ( t ) = 5 e − 2 t .
Verify: y ′ = − 10 e − 2 t , so y ′ + 2 y = − 10 e − 2 t + 10 e − 2 t = 0 ✓ and y ( 0 ) = 5 ✓.
Worked example Ex 2 — 1st order, zero IC + constant forcing ·
Case 2
Solve y ′ + 4 y = 8 , y ( 0 ) = 0 .
Forecast: Driven toward equilibrium where y ′ = 0 ⇒ 4 y = 8 ⇒ y = 2 , starting from 0 ; guess y = 2 ( 1 − e − 4 t ) .
Transform. L { 1 } = s 1 , so L { 8 } = s 8 . Thus ( s Y − 0 ) + 4 Y = s 8 .
Why this step? Here the fee − f ( 0 ) = 0 , so only the forcing term on the right survives — this cell tests the "clean left side" case.
Solve. ( s + 4 ) Y = s 8 ⇒ Y = s ( s + 4 ) 8 .
Partial fractions. s ( s + 4 ) 8 = s 2 − s + 4 2 .
Why this step? Splitting into pieces whose inverse we already know (s 1 → 1 , s + 4 1 → e − 4 t ).
Invert. y ( t ) = 2 − 2 e − 4 t = 2 ( 1 − e − 4 t ) .
Verify: y ′ = 8 e − 4 t ; y ′ + 4 y = 8 e − 4 t + 8 − 8 e − 4 t = 8 ✓, y ( 0 ) = 2 − 2 = 0 ✓.
Worked example Ex 3 — 2nd order, two real roots ·
Case 3
Solve y ′′ − 9 y = 0 , y ( 0 ) = 0 , y ′ ( 0 ) = 6 .
Forecast: Denominator will be s 2 − 9 = ( s − 3 ) ( s + 3 ) ; real roots ± 3 give hyperbolic growth/decay. Guess a sinh : y = 2 sinh 3 t .
Transform. ( s 2 Y − sy ( 0 ) − y ′ ( 0 ) ) − 9 Y = 0 .
Why this step? Second-derivative rule brings both ICs in at once.
Insert ICs. y ( 0 ) = 0 , y ′ ( 0 ) = 6 : s 2 Y − 0 − 6 − 9 Y = 0 ⇒ ( s 2 − 9 ) Y = 6 .
Solve. Y = s 2 − 9 6 .
Invert. Since L { sinh a t } = s 2 − a 2 a , write Y = 2 ⋅ s 2 − 9 3 , so y ( t ) = 2 sinh 3 t .
Why this step? We matched the numerator to a = 3 so the standard form appears exactly.
Verify: y ′ = 6 cosh 3 t , y ′′ = 18 sinh 3 t ; y ′′ − 9 y = 18 sinh 3 t − 18 sinh 3 t = 0 ✓, y ( 0 ) = 0 ✓, y ′ ( 0 ) = 6 cosh 0 = 6 ✓.
Worked example Ex 4 — 2nd order, complex roots (pure oscillation) ·
Case 4
Solve y ′′ + 4 y = 0 , y ( 0 ) = 3 , y ′ ( 0 ) = 0 .
Forecast: s 2 + 4 never factors over the reals — roots are ± 2 i , meaning oscillation at angular frequency 2 . Starting at 3 with zero slope → a pure cosine: guess y = 3 cos 2 t .
Transform. ( s 2 Y − sy ( 0 ) − y ′ ( 0 ) ) + 4 Y = 0 .
Insert ICs. y ( 0 ) = 3 , y ′ ( 0 ) = 0 : s 2 Y − 3 s − 0 + 4 Y = 0 ⇒ ( s 2 + 4 ) Y = 3 s .
Why this step? Notice the y ( 0 ) produced an s in the numerator — that s is what turns into a cosine rather than a sine.
Solve. Y = s 2 + 4 3 s .
Invert. L { cos ω t } = s 2 + ω 2 s with ω = 2 , so y ( t ) = 3 cos 2 t .
Verify: y ′ = − 6 sin 2 t , y ′′ = − 12 cos 2 t ; y ′′ + 4 y = − 12 cos 2 t + 12 cos 2 t = 0 ✓, y ( 0 ) = 3 ✓, y ′ ( 0 ) = 0 ✓.
Look at the chalk-blue solution curve: it starts at height 3 with a flat top (slope zero, matching y ′ ( 0 ) = 0 ) and swings symmetrically — that flat start is the visual signature of a pure cosine.
Worked example Ex 5 — 2nd order, repeated root (critical damping) ·
Case 5
Solve y ′′ + 2 y ′ + y = 0 , y ( 0 ) = 0 , y ′ ( 0 ) = 1 .
Forecast: Characteristic-style denominator will be s 2 + 2 s + 1 = ( s + 1 ) 2 — a repeated root − 1 . Repeated roots produce a t e − t factor. Guess y = t e − t .
Transform. ( s 2 Y − sy ( 0 ) − y ′ ( 0 ) ) + 2 ( s Y − y ( 0 ) ) + Y = 0 .
Why this step? Apply the 2nd-derivative rule to y ′′ and the 1st-derivative rule to y ′ — the property handles both.
Insert ICs. y ( 0 ) = 0 , y ′ ( 0 ) = 1 : ( s 2 Y − 1 ) + 2 s Y + Y = 0 ⇒ ( s 2 + 2 s + 1 ) Y = 1 .
Solve. Y = ( s + 1 ) 2 1 .
Invert. L { t e a t } = ( s − a ) 2 1 with a = − 1 , so y ( t ) = t e − t .
Why this step? The squared denominator is precisely the fingerprint of the t e a t shape — this is the case that has no plain exponential.
Verify: y ′ = e − t − t e − t , y ′′ = − 2 e − t + t e − t ; y ′′ + 2 y ′ + y = ( − 2 e − t + t e − t ) + 2 ( e − t − t e − t ) + t e − t = 0 ✓, y ( 0 ) = 0 ✓, y ′ ( 0 ) = 1 ✓.
Worked example Ex 6 — Degenerate / edge cases ·
Case 6
Three sanity checks at the boundaries of the rule.
(a) n = 0 (no derivative). By convention f ( 0 ) = f , and the general formula's list of subtracted terms is empty , so L { f } = s 0 F ( s ) = F ( s ) .
Why this matters: the pattern doesn't collapse — it just reduces to the identity, confirming the descending-power list starts at s n − 1 and stops before n = 0 contributes.
(b) Constant function y ≡ c . Its derivative is 0 , so L { y ′ } = 0 . The rule says s Y − y ( 0 ) = s ⋅ s c − c = c − c = 0 ✓ — the fee exactly cancels s F ( s ) .
Why this step? A constant has zero rate of change; the property must return 0 , and it does.
(c) Limiting behaviour of Ex 2. As t → ∞ , y = 2 ( 1 − e − 4 t ) → 2 ; as t → 0 + , y → 0 . This is the Final Value and Initial Value behaviour: lim s → 0 s Y = lim s → 0 s + 4 8 = 2 and lim s → ∞ s Y = lim s → ∞ s + 4 8 = 0 .
Why this step? Multiplying Y by s and taking s limits reads off the t -endpoints without inverting — a free consistency check.
Worked example Ex 7 — Word problem with units ·
Case 7
A capacitor of C = 0.5 F discharges through a resistor R = 4 Ω . The voltage v ( t ) obeys R C v ′ + v = 0 with v ( 0 ) = 12 V . Find v ( t ) and the time to reach 12/ e V .
Forecast: R C = 4 ⋅ 0.5 = 2 s is the time constant τ . Exponential decay: guess v = 12 e − t /2 , reaching 12/ e at t = τ = 2 s .
Write the ODE cleanly. 2 v ′ + v = 0 ⇒ v ′ + 2 1 v = 0 , v ( 0 ) = 12 .
Why this step? Dividing by R C puts it in the standard 1st-order form; the coefficient 2 1 is 1/ τ .
Transform. ( s V − 12 ) + 2 1 V = 0 ⇒ ( s + 2 1 ) V = 12 .
Solve. V = s + 2 1 12 .
Invert. v ( t ) = 12 e − t /2 V .
Reach 12/ e . Set 12 e − t /2 = 12/ e ⇒ e − t /2 = e − 1 ⇒ t = 2 s .
Verify: units — s carries 1/ s , V carries V ⋅ s , so v carries V ✓. At t = 2 : v = 12 e − 1 ≈ 4.415 V ✓, and 12/ e ≈ 4.415 ✓.
Worked example Ex 8 — Exam twist: IC not at
t = 0 · Case 8
Solve y ′ − y = 0 with the condition given away from zero: y ( 1 ) = e .
Forecast: The property's boundary term lives exactly at t = 0 , so we cannot plug y ( 1 ) in directly. Solve with an unknown y ( 0 ) = c , then fit c from y ( 1 ) = e . The equation y ′ = y gives y = c e t , and y ( 1 ) = ce = e ⇒ c = 1 , so y = e t .
Transform with unknown start. Let y ( 0 ) = c . ( s Y − c ) − Y = 0 ⇒ ( s − 1 ) Y = c .
Why this step? We honestly cannot use y ( 1 ) inside the rule; we carry the true t = 0 value as a symbol c .
Solve. Y = s − 1 c .
Invert. y ( t ) = c e t .
Fit the given condition. y ( 1 ) = c e 1 = e ⇒ c = 1 . Hence y ( t ) = e t .
Why this step? This is the correct handling of the steel-manned mistake in the parent: an IC away from 0 must be fitted after solving generally.
Verify: y ′ = e t = y ✓, and y ( 1 ) = e 1 = e ✓.
Recall Which cell was which?
Ex1 hits nonzero-IC first order ::: y ′ + 2 y = 0 ⇒ y = 5 e − 2 t .
Ex4 vs Ex3 — how do you see the difference in s ? ::: s 2 + ω 2 (complex roots → oscillation) vs s 2 − a 2 (real roots → sinh / cosh ).
Ex5 fingerprint in the s -domain? ::: A squared denominator ( s + a ) 2 → a t e − a t term.
Why can't Ex8 plug y ( 1 ) into the rule directly? ::: The derivative property evaluates its boundary term at t = 0 , so the IC must be at 0 ; otherwise solve generally and fit.
Read the denominator, name the motion. s − a → decay/growth · s 2 − a 2 → hyperbolic · s 2 + ω 2 → oscillation · ( s + a ) 2 → critical (t e − a t ).