First fundamental theorem of calculus

Every definite integral you evaluate as F(b)−F(a)F(b)-F(a) is secretly leaning on one quiet fact: the area function itself is an anti-derivative. The First Fundamental Theorem of Calculus (FTC1) is the statement that makes this legal — it says that if you build a function A(x)A(x) by accumulating area under a curve from a fixed start point aa up to a moving point xx, then differentiating A(x)A(x) hands you back the original curve, A′(x)=f(x)A'(x) = f(x). Accumulation and differentiation, run one after the other, cancel out. In the CBSE Class 12 Integrals chapter this theorem is introduced right after the area function, stated without proof, and then used constantly — both directly, to differentiate expressions like ∫axf(t) dt\int_a^x f(t)\,dt, and indirectly, every time you are told that "any" anti-derivative works when evaluating a definite integral. This article expands the Pass-1 statement with a compressed derivation-style justification, one worked chain-rule example, and the sign-flip and dummy-variable traps that decide marks in exams.

The core insight

The area function A(x)=∫axf(t) dtA(x)=\int_a^x f(t)\,dt is differentiable with A′(x)=f(x)A'(x)=f(x), so accumulating area and then differentiating simply returns the original function.

The core idea

The area function is built by accumulation. Let ff be continuous on [a,b][a,b]. Define A(x)=∫axf(t) dtA(x) = \int_a^x f(t)\,dt — the running total of signed area under ff, swept from the fixed point aa to the moving point xx. Because ff is continuous, this running total is a genuine, well-behaved function of xx, and A(a)=0A(a)=0 automatically since ∫aaf(t) dt=0\int_a^a f(t)\,dt = 0.

Differentiating the accumulation returns the height of the curve. This is the theorem itself:

A′(x)=f(x)for every x∈[a,b]A'(x) = f(x) \quad \text{for every } x \in [a,b]

where: A(x)=∫axf(t) dtA(x)=\int_a^x f(t)\,dt is the area function, A′(x)A'(x) is its derivative with respect to the moving upper limit xx, and f(x)f(x) is the value (height) of the original curve at xx. In words — the rate at which accumulated area grows, as the right-hand boundary slides to the right, equals the height of the curve exactly there. A tall curve sweeps out area fast; a curve near zero barely adds any.

This is why A(x)A(x) qualifies as an anti-derivative. By definition, FF is an anti-derivative of ff precisely when F′=fF'=f. FTC1 says AA satisfies this condition, so AA belongs to the family of anti-derivatives of ff — specifically the one member of that family that vanishes at x=ax=a, since A(a)=0A(a)=0. Every other anti-derivative F(x)F(x) differs from A(x)A(x) only by a constant, F(x)=A(x)+CF(x)=A(x)+C.

The theorem also explains why "any" anti-derivative works when evaluating a definite integral. Elsewhere in the Integrals chapter you compute ∫abf(x) dx\int_a^b f(x)\,dx as F(b)−F(a)F(b)-F(a) using whichever anti-derivative FF is convenient to find — not necessarily the area function AA itself. That step is only legal because FTC1 has already established that AA is an anti-derivative of ff; since FF and AA differ by a constant CC, the difference F(b)−F(a)F(b)-F(a) automatically cancels that constant and reproduces A(b)−A(a)=A(b)A(b)-A(a)=A(b), the actual accumulated area. Without FTC1, there would be no guarantee that some unrelated anti-derivative FF gives the same number as the real area.

The chain-rule extension covers a moving upper limit that is itself a function. When the upper limit is u(x)u(x) rather than plain xx, treat ∫au(x)f(t) dt\int_a^{u(x)} f(t)\,dt as the composite function A(u(x))A(u(x)) and apply the chain rule:

ddx∫au(x)f(t) dt=f(u(x))⋅u′(x)\frac{d}{dx}\int_a^{u(x)} f(t)\,dt = f\big(u(x)\big)\cdot u'(x)

where: u(x)u(x) is the (differentiable) upper limit expressed as a function of xx, and u′(x)u'(x) is its derivative. This single line is the version examiners actually test most often, since a plain xx upper limit is the easy special case u(x)=xu(x)=x, u′(x)=1u'(x)=1. The figure below shows the mechanism in one picture: as the right boundary xx nudges forward by a small dxdx, the extra sliver of area added is approximately a thin rectangle of height f(x)f(x) and width dxdx, so the extra area is ≈f(x) dx\approx f(x)\,dx — dividing by dxdx and shrinking it to zero is exactly the definition of A′(x)A'(x), and it lands on f(x)f(x).

Figure
A shaded area under a curve from a to x with a thin extra strip of width dx and height f of x added at the moving right edge
Nudging x forward adds a thin strip of area, height f(x), width dx t a x x+dx A(x) f(x) dx f(x)
Derivation AWhy differentiating the area function returns the integrand

The goal is to see, using only the definition of a derivative as a limit and the additivity of area over adjacent intervals, why A′(x)=f(x)A'(x)=f(x) for the area function A(x)=∫axf(t) dtA(x)=\int_a^x f(t)\,dt of a continuous ff — this is the reasoning behind the theorem the CBSE syllabus states without asking you to reproduce, but understanding it makes the chain-rule extension and the sign-flip trap much easier to remember correctly.

Step 1. Write the derivative of AA from its limit definition: A′(x)=lim⁡h→0A(x+h)−A(x)hA'(x) = \displaystyle\lim_{h\to 0} \frac{A(x+h)-A(x)}{h}. Substituting the integral definitions, A(x+h)−A(x)=∫ax+hf(t) dt−∫axf(t) dtA(x+h)-A(x) = \int_a^{x+h} f(t)\,dt - \int_a^x f(t)\,dt.

Step 2. Use additivity of the integral over adjacent intervals to simplify the difference. Since ∫ax+hf(t) dt=∫axf(t) dt+∫xx+hf(t) dt\int_a^{x+h} f(t)\,dt = \int_a^x f(t)\,dt + \int_x^{x+h} f(t)\,dt, the two ∫ax\int_a^x pieces cancel, leaving A(x+h)−A(x)=∫xx+hf(t) dtA(x+h)-A(x) = \int_x^{x+h} f(t)\,dt — just the thin sliver of area between xx and x+hx+h.

Step 3. Estimate the thin sliver for small hh. Because ff is continuous, on the short interval [x,x+h][x,x+h] the value of ff stays close to f(x)f(x), so the sliver of area is approximately a rectangle: ∫xx+hf(t) dt≈f(x)⋅h\int_x^{x+h} f(t)\,dt \approx f(x)\cdot h. This approximation becomes exact in the limit h→0h\to 0.

Step 4. Divide by hh and take the limit. A′(x)=lim⁡h→01h∫xx+hf(t) dt=lim⁡h→0f(x)⋅hh=f(x)A'(x) = \displaystyle\lim_{h\to 0} \frac{1}{h}\int_x^{x+h} f(t)\,dt = \lim_{h\to 0} \frac{f(x)\cdot h}{h} = f(x). The rectangle-strip approximation is precisely what makes the limit collapse to f(x)f(x), confirming A′(x)=f(x)A'(x)=f(x) for every xx where ff is continuous.

Worked example

Find ddx∫0x2cos⁡t dt\dfrac{d}{dx}\displaystyle\int_0^{x^2} \cos t\,dt, and check it by evaluating the integral explicitly first.

Step 1. Identify the pieces for the chain-rule extension. The integrand is f(t)=cos⁡tf(t)=\cos t, and the upper limit is u(x)=x2u(x)=x^2 rather than plain xx, so this needs ddx∫au(x)f(t) dt=f(u(x))⋅u′(x)\dfrac{d}{dx}\int_a^{u(x)} f(t)\,dt = f(u(x))\cdot u'(x), with u′(x)=2xu'(x)=2x.

Step 2. Substitute directly. ddx∫0x2cos⁡t dt=cos⁡(x2)⋅2x=2xcos⁡(x2)\dfrac{d}{dx}\displaystyle\int_0^{x^2}\cos t\,dt = \cos(x^2)\cdot 2x = 2x\cos(x^2).

Step 3. Verify by evaluating the integral first. An anti-derivative of cos⁡t\cos t is sin⁡t\sin t, so ∫0x2cos⁡t dt=[sin⁡t]0x2=sin⁡(x2)−sin⁡0=sin⁡(x2)\int_0^{x^2}\cos t\,dt = \big[\sin t\big]_0^{x^2} = \sin(x^2) - \sin 0 = \sin(x^2). Differentiating sin⁡(x2)\sin(x^2) with the ordinary chain rule gives cos⁡(x2)⋅2x\cos(x^2)\cdot 2x — exactly matching Step 2.

Answer: ddx∫0x2cos⁡t dt=2xcos⁡(x2)\dfrac{d}{dx}\displaystyle\int_0^{x^2}\cos t\,dt = 2x\cos(x^2), and the two routes — the theorem directly, or evaluate-then-differentiate — agree, which is the whole point of FTC1: it is a shortcut, not a different answer.

Competitive stretch

Find ddx∫x5t3 dt\dfrac{d}{dx}\displaystyle\int_x^{5} t^3\,dt. Here the variable limit is the lower one, so first flip it using ∫x5t3 dt=−∫5xt3 dt\int_x^5 t^3\,dt = -\int_5^x t^3\,dt, then apply FTC1 to the flipped form: ddx[−∫5xt3 dt]=−x3\dfrac{d}{dx}\left[-\int_5^x t^3\,dt\right] = -x^3. The sign flip is essential — differentiating as if xx were an upper limit without flipping first gives the wrong sign, x3x^3 instead of −x3-x^3.

Common traps

  • Forgetting the chain-rule factor u′(x)u'(x) when the upper limit is a function of xx — writing ∫0x2cos⁡t dt→cos⁡(x2)\int_0^{x^2}\cos t\,dt \to \cos(x^2) and dropping the 2x2x is the single most common slip.
  • Confusing the dummy variable tt with xx — the answer to ddx∫axf(t) dt\dfrac{d}{dx}\int_a^x f(t)\,dt is f(x)f(x), never f(t)f(t); the dummy variable is a placeholder that never appears in the final answer.
  • Applying FTC1 directly when the variable limit is the lower one — ddx∫xbf(t) dt=−f(x)\dfrac{d}{dx}\int_x^b f(t)\,dt = -f(x), because reversing the limits (property P1) introduces a minus sign before the theorem can be applied.
  • Trying to reproduce a full proof in an exam answer — CBSE states FTC1 without proof, so only correct statement and application are expected, not a derivation from the limit definition.

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Why does A(a) equal zero, and why does that matter?

Because A(a)=∫aaf(t) dtA(a)=\int_a^a f(t)\,dt, and integrating over an interval of zero width always gives zero — there is no area to sweep. It matters because it pins down which specific anti-derivative AA is: the general family of anti-derivatives is F(x)+CF(x)+C for any constant CC, and A(a)=0A(a)=0 singles out the one member of that family that starts at zero exactly at x=ax=a. Any other anti-derivative you use to evaluate a definite integral will differ from AA only by that constant, which cancels when you compute F(b)−F(a)F(b)-F(a).

Do I need to memorise the limit-based derivation for exams?

No. CBSE explicitly states the First Fundamental Theorem of Calculus without proof, so you are only expected to state it correctly and apply it — differentiating expressions like ∫axf(t) dt\int_a^x f(t)\,dt or ∫au(x)f(t) dt\int_a^{u(x)} f(t)\,dt. Understanding the reasoning (accumulating a thin strip of area and dividing by its width) helps you remember the sign-flip and chain-rule rules correctly, but reproducing the limit argument itself is not something an examiner will ask for.

How is this different from just evaluating the integral and then differentiating, like in the worked example?

When an anti-derivative is easy to find, both routes give the same answer, as the worked example above confirms. But FTC1 is a genuine shortcut when the integrand does not have an elementary anti-derivative — for instance ∫0xe−t2 dt\int_0^x e^{-t^2}\,dt cannot be written using standard functions, yet its derivative is instantly e−x2e^{-x^2} by FTC1, with no evaluation needed at all. That is where the theorem earns its keep beyond being a consistency check.

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Where this leads