Before hunting misconceptions, look at the objects themselves. Everything on this page refers back to three sketches — figure s01 (the step u), figure s02 (the impulse δ), and figure s03 (the shrinking boxes). Glance at whichever one a symbol comes from whenever it feels unfamiliar.
Figure s01 draws this step: flat at 0, then a clean jump to 1 at t=a (the small open dot marks the one ambiguous point). Keep figure s01 in mind for every step-function item below.
Figure s02 draws δ(t−a) as an arrow of "area 1" sitting exactly at t=a — its height is symbolic, its area is what is real. Keep figure s02 in mind for every impulse item.
Figure s03 draws three boxes δε for shrinking ε: each keeps area 1 (shaded), and the arrow shows them marching toward the ideal spike of figure s02. Keep figure s03 in mind whenever a delta item talks about "area."
The Heaviside function u(t−a) is 0 before a and 1 after; the delta δ(t−a) is its slope.
u(t−a) is a genuine function you can plug a number into and get an output.
True — it is defined at every t=a (only the single point t=a is left ambiguous, conventionally 21), so it is an ordinary piecewise function, unlike δ.
δ(t−a) is a genuine function you can plug a number into and get an output.
False — outside an integral it has no usable pointwise value ("∞ at a" is not a number); it is a distribution, i.e. a linear functional sending a test function φ to φ(a).
The area under δ(t−a) equals 1 regardless of where a sits.
True — the total impulse is always 1 by definition (see the area-1 boxes in figure s03); shifting a moves where the spike is, never how much it carries.
∫−∞∞δ(t−a)dt and ∫0∞δ(t−a)dt are always equal.
False — they agree only when a>0; if a<0 the spike sits outside [0,∞) so the second integral is 0 while the first is 1.
The boxcar u(t−a)−u(t−b) equals 1 on the whole interval [a,b] including endpoints.
False (harmlessly) — it is 1 on the open interval (a,b) and undefined at the two switch points, but since integrals ignore single points this never affects a Laplace transform.
L{δ(t)}=1 means the delta contains "all frequencies equally."
True — a flat transform of 1 over all s is why δ probes a system uniformly, making its response the impulse response (see Impulse Response and Convolution).
Multiplying a function by u(t−a) can change the value of that function for t>a.
False — for t>a the step equals 1, so g(t)u(t−a)=g(t) there; the step only deletes the part for t<a, it never rescales the visible part.
The value chosen for u(0) changes the Laplace transform se−as.
False — Laplace is an integral, and integrals ignore the contribution of a single point, so u(0)=0,21, or 1 all give the identical transform (valid on the ROC ℜ(s)>0).
Gating a signal with u(t−a) or delaying it can shrink the region of convergence.
False — the delay stamp e−as (with a≥0) has modulus e−aℜ(s)≤1 on ℜ(s)>0, so it never worsens convergence; the ROC of e−asF(s) is the same as that of F(s).
Error — the second shifting theorem (restated above) needs the shifted function f(t−2), but t is not shifted. Rewrite t=(t−2)+2 first, giving e−2s(s21+s2).
Someone inverts e−πs/(s2+1) to get y(t)=sin(t−π).
Error — the gate u(t−π) is missing; the correct inverse is sin(t−π)u(t−π), which is 0 for t<π. Dropping u makes the answer wrong before the impulse even arrives.
Someone claims δ(t−a)2 delivers "twice the impulse."
Error — squaring a distribution is undefined; δ is a linear functional and lives only inside linear integrals, so δ2 has no meaning at all, let alone a doubled area.
Someone writes ∫−∞∞f(t)δ(t−a)dt=f(t).
Error — sifting evaluates f at the spike location, so the result is the numberf(a), not the function f(t); the integral has already erased the variable t.
Someone says "δ is the derivative of u, so δ is smoother than u."
Error — differentiating makes things rougher here: u has a jump, and its distributional derivative δ is even wilder (an infinite spike), not smoother.
Someone computes L{u(t−a)} by integrating ∫0∞e−stdt and multiplying by... nothing, getting 1/s.
Error — the lower limit must become a because u(t−a)=0 on [0,a); integrating from a gives the correct e−as/s, on the ROC ℜ(s)>0, not 1/s.
Someone models "input g(t) starting at time a" as g(t−a) alone.
Error — without the gate u(t−a) the shifted function is still nonzero for t<a; the correct "turn on at a" object is g(t−a)u(t−a).
Why must δ be defined by an integral rather than a formula like δ(a)=∞?
Because a pointwise height "∞" cannot be added or scaled coherently, so no ordinary function reproduces the required behaviour. Instead we define δ as a linear functional — a machine mapping each smooth test function φ to the number φ(a). Linearity plus the sifting rule is the object; the distributional framework (Distributions and Generalized Functions) gives it full rigour.
Why does shifting a function in time turn into multiplying by e−as in the s-domain?
Substituting τ=t−a in the Laplace integral peels off a constant factor e−as from every term, so the whole transform just gets stamped by the delay factor e−as; because ∣e−as∣≤1 on ℜ(s)>0 the convergence is untouched (the First and Second Shifting Theorems).
Why is the response to δ(t) special enough to earn its own name?
Because L{δ}=1, so Y(s)=H(s)⋅1 is the raw system transfer function, and its inverse — the impulse response — convolves with any input to give every other response (see Impulse Response and Convolution).
Why does an impulse δ(t−π) produce an ongoing oscillation in y′′+y=δ(t−π), not just a single blip?
The kick lasts an instant but changes the state (it hands the system velocity); once the mass is moving, the spring keeps it oscillating forever afterward.
Why do we insist the box δε keep area 1 as ε→0 rather than fixed height?
Because "total impulse = 1" is the physically conserved quantity; height must blow up as width shrinks precisely so the area (the punch delivered) stays constant — exactly the area-1 boxes drawn in figure s03.
Why is the derivative link δ=dtdu believable even though u has no ordinary derivative at a?
The averaged box δε=ε1[u(t−a)−u(t−a−ε)] is literally the average slope of u's rise over width ε; taking ε→0 makes this the (distributional) derivative — a jump of 1 has "infinite rate for an instant."
What is ∫−∞∞f(t)δ(t−a)dt when f is discontinuous exactly at a?
It is ambiguous — sifting needs f continuous at a; if f jumps there the "value f(a)" isn't well-defined, so the integral has no clean answer (a symmetric-limit reading would return the midpoint of the jump).
What happens to L{δ(t−a)}=e−as in the limit a→0+?
It tends to e0=1, matching L{δ(t)}=1; the spike at the very edge of the integration domain is still captured whole (transform valid for all s, ROC the whole plane).
Is δ(t−a) meaningful for a<0 inside a one-sided Laplace transform?
No usable effect — the spike sits at t=a<0, outside [0,∞), so L{δ(t−a)}=0; the impulse happened "before the system started listening."
What does the boxcar u(t−a)−u(t−b) become if a=b?
It collapses to 0 everywhere (a zero-width window carries no area), consistent with subtracting identical steps.
For y′+2y=u(t−1),y(0)=0, what is yat the switch instantt=1?
Effectively 0 — the solution 21(1−e−2(t−1))u(t−1) starts from 0 at t=1 and only then rises toward 21; nothing has accumulated yet at the instant the switch flips.
What is ∫a∞δ(t−a)dt — does starting the integral at the spike count it?
This is genuinely ambiguous. The symmetric-limit convention replaces the sharp spike by the symmetric boxes δεcentred on a and takes ε→0; then exactly half the area lies at t≥a, giving the value 21 (the same reason u(0)=21). We prefer a>0 strictly inside [0,∞) so no half-spike ever sits on the boundary.