PYQ Vault

MHT-CET Maths · Applications of Derivative

Approximations Using Differentials

Near an easy point, a smooth curve is almost its tangent line — so f(a + h) is roughly f(a) plus the tangent's rise h·f'(a). This one formula estimates roots, powers, trig values, logs, exponentials, and polynomial values.

Why this matters

This subtopic is a reliable easy-to-moderate scorer on MHT-CET: 12 PYQs sit here (11 MODERATE, 1 EASY), and every one is the SAME single-line move — pick a nearby exact point, add the tangent correction. The recurring traps are all mechanical: choosing an anchor whose value you cannot compute exactly, getting the sign of h wrong, and — the biggest one — using degrees instead of radians for a trig derivative. Master the formula once and the whole subtopic collapses into arithmetic.

Concept 1 of 5: The Differential dy and the Linear-Approximation Formula

For a tiny input change dxdx, the actual change in yy is almost exactly the tangent's rise: dy=f′(x) dxdy = f'(x)\,dx. Geometrically the tangent line hugs the curve near the point of contact, so replacing the curve by its tangent gives a fast, accurate estimate. To evaluate ff at a point slightly off an easy one, start at the easy value and add the tangent's rise.

Definition

For a differentiable function, the differential is dy=f′(x) dxdy = f'(x)\,dx — the change predicted by the tangent line. Writing the target as a+ha + h where aa is a nearby point with an easy exact value and hh is a small (possibly negative) gap:

f(a+h)≈f(a)+h f′(a).f(a + h) \approx f(a) + h\,f'(a).
Two disciplines make this work every time:

  • Choose aa so f(a)f(a) is exact and clean — a perfect square/cube, a standard angle, a round power of 10.
  • Get the sign of hh right — if the target is below the anchor, hh is negative.

The correction term h f′(a)h\,f'(a) uses the slope AT the anchor aa, never at the target.

Linear approximation

f(a+h)≈f(a)+h f′(a)(dy=f′(x) dx)f(a + h) \approx f(a) + h\,f'(a) \qquad \big(dy = f'(x)\,dx\big)
  • anearby point with an easy exact value
  • hsmall gap to the target (may be negative)
  • f'(a)slope at the anchor a — the multiplier of h
PQtangent: slope = f′(x)secant → tangent as Q→P

Worked example

Estimate 25.3\sqrt{25.3} using differentials.
Practice this conceptself-check · 4 quick reps

The slope is f′(a)f'(a) — evaluate at the anchor, not the target

The correction term is h f′(a)h\,f'(a), using the derivative at the EASY point aa. Evaluating f′(a+h)f'(a+h) (at the target) defeats the whole purpose — you chose aa precisely so the slope there is easy. For 25.3\sqrt{25.3} use f′(25)=1/10f'(25)=1/10, not f′(25.3)f'(25.3).

Get the sign of hh right

If the target is BELOW the anchor, hh is negative. To estimate 24.7\sqrt{24.7} with a=25a=25, take h=−0.3h=-0.3, giving 5−0.03=4.975 - 0.03 = 4.97. A wrong sign pushes the estimate the wrong way by twice the correction.

Concept 2 of 5: Approximating Roots and Powers

The most common target is a root or a fractional power near a perfect value — 64.043\sqrt[3]{64.04}, (3.978)3/2(3.978)^{3/2}, 0.0263\sqrt[3]{0.026}. Anchor at the nearest perfect power so f(a)f(a) is a whole number, then add one tangent correction. The whole difficulty is picking the right anchor and computing f′(a)f'(a) cleanly.

Definition

For f(x)=xp/qf(x) = x^{p/q}: f′(x)=pq xp/q−1f'(x) = \dfrac{p}{q}\,x^{p/q - 1}, and f(a+h)≈ap/q+h⋅pq ap/q−1f(a+h) \approx a^{p/q} + h\cdot\dfrac{p}{q}\,a^{p/q-1}.

  • Cube root f(x)=x1/3f(x)=x^{1/3}: f′(x)=13x2/3f'(x)=\dfrac{1}{3x^{2/3}}. Anchor at a perfect cube (64,  0.027,  864,\;0.027,\;8).
  • Three-halves power f(x)=x3/2f(x)=x^{3/2}: f′(x)=32xf'(x)=\dfrac{3}{2}\sqrt{x}. Anchor at a perfect square (4,  9,  164,\;9,\;16).

Small decimals like 0.0260.026 still work — anchor at the nearby perfect cube 0.027=0.330.027 = 0.3^3.

Power/root approximation

(a+h)p/q≈ap/q+h⋅pq a p/q−1(a + h)^{p/q} \approx a^{p/q} + h\cdot\dfrac{p}{q}\,a^{\,p/q - 1}
  • anearest perfect power (perfect cube for a cube root, etc.)
  • p/qthe exponent — carries through to the derivative

Worked example

Estimate 64.043\sqrt[3]{64.04}.
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

MHT-CET · 2023 · 11th May Shift 1 · Q125Moderate

Example 2 · Applications of Derivative · Approximations using Differentials

The approximate value of (3.978)3/2(3.978)^{3/2} is

Anchor at a perfect power, not just any round number

For 0.0263\sqrt[3]{0.026}, do NOT anchor at 00 or 0.0250.025 — neither has a clean cube root. Use 0.027=0.330.027 = 0.3^3 so f(a)=0.3f(a)=0.3 is exact. Choosing an anchor whose value you cannot compute exactly wrecks the whole method.

Watch xp/q−1x^{p/q - 1} in the derivative

For x3/2x^{3/2} the derivative is 32x1/2=32x\tfrac32 x^{1/2} = \tfrac32\sqrt{x}, so f′(4)=32⋅2=3f'(4) = \tfrac32\cdot 2 = 3 — a clean integer, which is why a=4a=4 is the right anchor. Subtracting 11 from the exponent wrongly (e.g. leaving x3/2x^{3/2}) inflates the correction.

Concept 3 of 5: Approximating Trigonometric Values

To estimate a trig value a few minutes/seconds away from a standard angle, anchor at the standard angle (30°, 45°, 60°) and add the tangent correction. The one rule that trips everyone: the derivative of a trig function is in RADIANS, so the gap hh must be converted from degrees/minutes/seconds to radians first.

Definition

Use f(a+h)≈f(a)+h f′(a)f(a+h) \approx f(a) + h\,f'(a) with f=sin⁡f = \sin or cos⁡\cos:

  • ddxsin⁡x=cos⁡x\dfrac{d}{dx}\sin x = \cos x, ddxcos⁡x=−sin⁡x\dfrac{d}{dx}\cos x = -\sin x (note the sign for cosine).
  • hh must be in radians: 1∘=0.01751^\circ = 0.0175 rad, 1′=160∘1' = \tfrac{1}{60}^\circ, 1′′=13600∘1'' = \tfrac{1}{3600}^\circ. So 30′=0.5∘=0.0087530' = 0.5^\circ = 0.00875 rad, 10′′≈0.000048510'' \approx 0.0000485 rad.
  • Anchor aa at the standard angle so sin⁡a,cos⁡a\sin a,\cos a are exact; if the target is below the anchor, h<0h < 0.
  • Inverse-trig values work the same way with ddxtan⁡−1x=11+x2\dfrac{d}{dx}\tan^{-1}x = \dfrac{1}{1 + x^2}: tan⁡−1(0.999)≈tan⁡−11+(−0.001)⋅12=π4−0.0005≈0.7849\tan^{-1}(0.999) \approx \tan^{-1}1 + (-0.001)\cdot\frac12 = \frac{\pi}{4} - 0.0005 \approx 0.7849. Here hh is a change in xx, not an angle, so no radian conversion.

Trig approximation (h in radians)

sin⁡(a+h)≈sin⁡a+hcos⁡a,cos⁡(a+h)≈cos⁡a−hsin⁡a\sin(a + h) \approx \sin a + h\cos a, \qquad \cos(a + h) \approx \cos a - h\sin a
  • anearby standard angle (30°, 45°, 60° …)
  • hthe small angular gap, CONVERTED TO RADIANS

Worked example

Estimate sin⁡(46∘)\sin(46^\circ), given 1∘=0.01751^\circ = 0.0175 rad and sin⁡45∘=cos⁡45∘=0.7071\sin 45^\circ = \cos 45^\circ = 0.7071.
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

MHT-CET · 2023 · 3rd May Shift 1 · Q143Moderate

Example 3 · Applications of Derivative · Approximations using Differentials

The approximate value of cos⁡30∘30′\cos30^\circ 30' is, given that 1∘=0.01751^\circ=0.0175 rad and cos⁡30∘=0.8660\cos30^\circ=0.8660

Convert the gap to RADIANS before multiplying

The derivatives cos⁡x,  −sin⁡x\cos x,\;-\sin x are rates per radian. If you plug h=0.5h = 0.5 (the degree count) instead of 0.008750.00875 rad, the correction is off by a factor of ~57. Always convert minutes/seconds → degrees → radians first.

Cosine's derivative carries a minus sign

ddxcos⁡x=−sin⁡x\dfrac{d}{dx}\cos x = -\sin x. For cos⁡(30∘30′)\cos(30^\circ 30') the correction is h⋅(−sin⁡30∘)h\cdot(-\sin 30^\circ), which DECREASES the value (cosine falls as the angle rises past 0). Dropping the minus pushes the estimate the wrong way.

Concept 4 of 5: Approximating Logarithms and Exponentials

Logs and exponentials near a clean anchor estimate the same way — anchor at a round power (10001000, an integer exponent) and add the tangent correction. The two facts to keep straight are the derivatives: ddxlog⁡10x=log⁡10ex\dfrac{d}{dx}\log_{10} x = \dfrac{\log_{10} e}{x} and ddxax=axlog⁡a\dfrac{d}{dx}a^x = a^x \log a.

Definition

For a base-10 log, f(x)=log⁡10xf(x) = \log_{10} x gives f′(x)=log⁡10ex=0.4343xf'(x) = \dfrac{\log_{10} e}{x} = \dfrac{0.4343}{x} (since log⁡10x=log⁡exlog⁡e10\log_{10} x = \dfrac{\log_e x}{\log_e 10}). Anchor at a power of 10 so f(a)f(a) is a whole number. For an exponential f(x)=axf(x) = a^x, f′(x)=axlog⁡af'(x) = a^x \log a (natural log). Anchor at an integer exponent so f(a)f(a) is exact, then f(a+h)≈an+h anlog⁡af(a+h) \approx a^n + h\,a^n\log a. Throughout, an unqualified log⁡\log means the natural logarithm; a base-10 log is written log⁡10\log_{10}.

Log & exponential approximation

ddxlog⁡10x=0.4343x,ddxax=axlog⁡a\dfrac{d}{dx}\log_{10} x = \dfrac{0.4343}{x}, \qquad \dfrac{d}{dx}a^x = a^x \log a
  • 0.4343log⁡10e\log_{10} e — the base-conversion factor for a base-10 log
  • log⁡a\log anatural log of the base, in the exponential derivative

Worked example

Estimate log⁡101002\log_{10} 1002, given log⁡10e=0.4343\log_{10} e = 0.4343.
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

MHT-CET · 2023 · 4th May Shift 1 · Q121Moderate

Example 4 · Applications of Derivative · Approximations using Differentials

The approximate value of log⁡101002\log_{10}1002 is (Given log⁡10e=0.4343\log_{10}e=0.4343)

ddxlog⁡10x\dfrac{d}{dx}\log_{10} x carries the 0.43430.4343 factor

A base-10 log is NOT 1x\dfrac{1}{x} — that is the natural log. ddxlog⁡10x=log⁡10ex=0.4343x\dfrac{d}{dx}\log_{10} x = \dfrac{\log_{10} e}{x} = \dfrac{0.4343}{x}. Forgetting the factor makes the correction ~2.3× too big.

ddxax=axlog⁡a\dfrac{d}{dx}a^x = a^x\log a, not x ax−1x\,a^{x-1}

The base is constant and the EXPONENT is the variable, so the power rule does not apply. For 32.0013^{2.001} use f′(x)=3xlog⁡3f'(x) = 3^x \log 3; here log⁡3=1.0986\log 3 = 1.0986 is the natural log, supplied in the question.

Concept 5 of 5: Approximating Polynomial Values

For a polynomial you could just substitute, but near a whole-number anchor the linear approximation is faster and is exactly what the paper tests. Anchor at the nearest integer, compute f(a)f(a) and f′(a)f'(a), and add the correction. When the question hands you P(a)P(a), P′(a)P'(a), P′′(a)P''(a) instead of the polynomial, you often reconstruct PP first, then approximate.

Definition

For f(x)=anxn+⋯+a0f(x) = a_n x^n + \dots + a_0: f(a+h)≈f(a)+h f′(a)f(a+h) \approx f(a) + h\,f'(a), with aa the nearest integer to the target. When only derivative DATA is given (a Taylor-style setup): a degree-2 polynomial is fully determined by P(a)P(a), P′(a)P'(a), P′′(a)P''(a) via

P(x)=P(a)+P′(a)(x−a)+12P′′(a)(x−a)2.P(x) = P(a) + P'(a)(x-a) + \tfrac12 P''(a)(x-a)^2.
Reconstruct PP, then evaluate (or linearly approximate) at the required point. The target may be near a DIFFERENT integer than the one where the data is given — anchor at whatever integer is nearest the target.

Polynomial approximation / reconstruction

f(a+h)≈f(a)+h f′(a);P(x)=P(a)+P′(a)(x−a)+12P′′(a)(x−a)2f(a+h) \approx f(a) + h\,f'(a); \quad P(x) = P(a) + P'(a)(x-a) + \tfrac12 P''(a)(x-a)^2

Worked example

Estimate x3−2x2+3x+2x^3 - 2x^2 + 3x + 2 at x=2.01x = 2.01.
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

MHT-CET · 2024 · 14th May Shift 2 · Q140Moderate

Example 5 · Applications of Derivative · Approximations using Differentials

Let P(x)P(x) be a polynomial of degree 2 with P(2)=−1,P′(2)=0,P′′(2)=2P(2)=-1, P'(2)=0, P''(2)=2, then P(1.001)P(1.001) is

Anchor at the integer nearest the TARGET

In the reconstruction question the data is at x=2x = 2, but P(1.001)P(1.001) is asked — anchor at a=1a = 1, not 22. Blindly linearising at the data point a=2a = 2 uses P(2)=−1P(2) = -1 and P′(2)=0P'(2) = 0 and gives the wrong answer. Reconstruct PP first, then anchor near the target.

The 12\tfrac12 in the reconstruction is essential

P(x)=P(a)+P′(a)(x−a)+12P′′(a)(x−a)2P(x) = P(a) + P'(a)(x-a) + \tfrac12 P''(a)(x-a)^2 — the second-order term carries a 12\tfrac12. Dropping it doubles the quadratic coefficient. Here 12P′′(2)=12(2)=1\tfrac12 P''(2) = \tfrac12(2) = 1, so the leading coefficient is 11, not 22.

Summary — formulas & gotchas at a glance

A revision cheat-sheet for the formulas and gotchas above. Click any concept name to jump back to its full explanation.

Formulas (5)

  • The Differential dy and the Linear-Approximation Formula

    Linear approximation

    f(a+h)≈f(a)+h f′(a)(dy=f′(x) dx)f(a + h) \approx f(a) + h\,f'(a) \qquad \big(dy = f'(x)\,dx\big)
  • Approximating Roots and Powers

    Power/root approximation

    (a+h)p/q≈ap/q+h⋅pq a p/q−1(a + h)^{p/q} \approx a^{p/q} + h\cdot\dfrac{p}{q}\,a^{\,p/q - 1}
  • Approximating Trigonometric Values

    Trig approximation (h in radians)

    sin⁡(a+h)≈sin⁡a+hcos⁡a,cos⁡(a+h)≈cos⁡a−hsin⁡a\sin(a + h) \approx \sin a + h\cos a, \qquad \cos(a + h) \approx \cos a - h\sin a
  • Approximating Logarithms and Exponentials

    Log & exponential approximation

    ddxlog⁡10x=0.4343x,ddxax=axlog⁡a\dfrac{d}{dx}\log_{10} x = \dfrac{0.4343}{x}, \qquad \dfrac{d}{dx}a^x = a^x \log a
  • Approximating Polynomial Values

    Polynomial approximation / reconstruction

    f(a+h)≈f(a)+h f′(a);P(x)=P(a)+P′(a)(x−a)+12P′′(a)(x−a)2f(a+h) \approx f(a) + h\,f'(a); \quad P(x) = P(a) + P'(a)(x-a) + \tfrac12 P''(a)(x-a)^2

Watch out for (10)

Test yourself on a real paper

Sit a past MHT-CET paper, timed and marked the way the exam marks it. You see your score and every answer the moment you finish. Free to start.

Related notes