Worked examples — Transforms of standard functions — proofs
Everything below leans on the one machine: and the dictionary built from it. If any symbol here feels unfamiliar, the Laplace Transform — Definition and Existence and Linearity and First Shifting Theorem notes build them from zero.
The scenario matrix
Before working anything, let us list every kind of cell these transforms live in. A worked example is only useful if it lands in a named cell — so each example below is tagged Cell Xn.
| Cell | Situation class | What could go wrong / what to watch |
|---|---|---|
| A | Constant / pure power | forgetting the ; wrong power of |
| B | Exponential , positive | convergence needs (strip shifts) |
| C | Exponential , negative | pole at $s=- |
| D | Trig (oscillating) | denominator , plus sign |
| E | Hyperbolic (growing) | denominator , minus, need |
| F | Shift (First Shifting) | replace everywhere |
| G | Zero / degenerate input (, ) | formulas must collapse to simpler ones |
| H | Limiting behaviour (, ) | sanity checks, not new results |
| I | Linear combination (sum of several) | linearity, term by term |
| J | Word problem (physics / ODE) | set up , keep units, interpret |
The ten examples below cover all ten cells.
Example 1 — Pure power (Cell A)
Steps.
- Apply with . Why this step? This is the direct dictionary entry — no need to redo the integral.
- For the constant, pull the number out (linearity) and use . Why this step? is linear: constants slide through the integral.
Verify: check the isn't dropped — should be . It does. And growing means we still only need (the weight beats any polynomial). ✓
Example 2 — Positive exponential (Cell B)
Steps.
- Use the dictionary entry with . Why this step? It is exactly the proof but with .
- Convergence: we needed , i.e. . Why this step? Only then does as .
Verify: the pole sits at , exactly the abscissa of convergence, matching "the fastest growth of sets the threshold." ✓
Example 3 — Negative exponential (Cell C)
Steps.
- Put into . Why this step? The formula is signed — can be negative, no special case needed.
Verify: the strip is looser than Cell B's because a decaying input is "easy to weigh." The two exponential cells B and C together cover both signs of . ✓
Example 4 — Oscillating (Cell D)
Steps.
- Apply , . Why this step? Direct dictionary entry (proved via ).
- Apply , .
Look at the figure: the blue oscillating times the orange decaying weight gives the green product, whose net signed area is exactly the transform. The plus/minus lobes nearly cancel — that is why the answer is a modest fraction, not something huge.
Verify: at both transforms (weight crushes everything). Setting , : . ✓
Example 5 — Growing hyperbolic (Cell E)
Steps.
- , . Why this step? Built from plus linearity.
- , .
The figure contrasts the plus (trig) and minus (hyperbolic) denominators as functions of : the hyperbolic curve has a vertical wall (a real pole) at , which is exactly the boundary of its strip. The trig curve is smooth — no real pole, so suffices.
Verify: at : and . Note keeps us legal. ✓
Example 6 — First Shifting Theorem (Cell F)
Steps.
- Get the base transform: . Why this step? Shifting acts on an already-known transform.
- Replace every by . Why this step? The shift theorem: .
Verify: strip moves from to (shifted left by , matching ). If we instead had , the strip would be . ✓
Example 7 — Degenerate / zero inputs (Cell G)
Steps.
- Cosine at : . Why this step? Set directly and simplify — this is the degenerate limit.
- Sine at : .
- Power at : (recall ).
Verify: all three degenerate cases fold onto the single anchor (or ). Consistency confirmed. ✓
Example 8 — Limiting behaviour as a sanity engine (Cell H)
Steps.
- : . Why this step? The denominator grows without bound — every transform must decay in .
- : , agreeing with Cell G.
- Initial-value shape: . Why this step? is a free correctness check.
Verify: with : , and . Match. ✓
Example 9 — Linear combination (Cell I)
Steps.
- ; . Why this step? Linearity lets us handle each term separately.
- ; .
- Add and record the strip. Why ? Every term must converge simultaneously; the growing demands the strictest bound.
Verify: each numerator carries the right factorial/coefficient; the strip is the max of . ✓
Example 10 — Word problem: a damped spring (Cell J)
Steps.
- Base transform: . Why this step? Peel off the exponential; transform the plain sine first.
- Apply First Shifting with : replace . Why this step? .
- Initial-value check: . Why this step? ; a released-from-rest sine should give .
Verify (units + number): has units of metre·seconds (a displacement integrated over time), consistent with . At : . And matches . ✓ This is exactly the shape you would invert with Inverse Laplace Transform — Partial Fractions to recover the motion.
Coverage check
Recall Did we hit every cell?
A (Ex 1) · B (Ex 2) · C (Ex 3) · D (Ex 4) · E (Ex 5) · F (Ex 6) · G (Ex 7) · H (Ex 8) · I (Ex 9) · J (Ex 10). Every sign of , both zero cases, the limiting checks, a linear pile-up, and a physics setup — all covered. Which cell forced the tightest convergence strip in Example 9? ::: Cell B's term, giving . Why is the hyperbolic strip and not just ? ::: Both and pieces must converge, so and .
Connections
- 4.6.26 Transforms of standard functions — proofs (Hinglish) — the parent proofs
- Laplace Transform — Definition and Existence
- Linearity and First Shifting Theorem — used in Cells F, I, J
- Transform of Derivatives — solving ODEs — the payoff of this dictionary
- Inverse Laplace Transform — Partial Fractions — undoing Example 10
- Integration by Parts · Euler's Formula $e^{i\theta}$ · Improper Integrals