MHT-CET Maths · Differentiation
Foundations, the Chain Rule, and Differentiability
Differentiation measures instantaneous rate of change. Master the standard-derivative table, the sum/product/quotient rules, and the chain rule for composite functions — then know exactly where a derivative can fail to exist.
Why this matters
This subtopic is the on-ramp to the whole chapter: 45 PYQs sit directly here (14 HARD, 25 MODERATE, 6 EASY). Every harder differentiation question — implicit, logarithmic, parametric, applications — reduces to applying the chain rule cleanly and recalling the table cold. The recurring MHT-CET traps live here too: forgetting the inner factor of a composite, treating any modulus as a corner, and slipping on the exponential derivative aˣ log a.
Concept 1 of 8: Standard Derivatives and the Rules of Differentiation
Definition
The standard derivatives you must recall instantly:
- , ,
- , and
- , and
- , ,
- , ,
The three combining rules:
- Sum/difference:
- Product:
- Quotient:
Product rule
- u, vthe two factors being multiplied
Worked example
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The same idea in a real exam question:
Example 1 · Differentiation · Foundations, Chain Rule & Differentiability
is , not
Quotient rule sign: numerator is
Concept 2 of 8: The Chain Rule and Composite Functions
Definition
If , then . For multiple nested layers, multiply the derivative of every layer:
- ,
- ,
Chain rule
- fouter function
- g(x)inner function — its derivative is the multiplying factor
Worked example
Practice this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 2 · Differentiation · Foundations, Chain Rule & Differentiability
Never forget the inner derivative factor
Evaluate the inner argument, not the outer, when a factor is zero
Concept 3 of 8: Differentiating Iterated Functions f(f(x))
Definition
By the chain rule, , and for three layers . If a fixed point is given (e.g. ), each nested at that point is still , so every factor becomes . When an inner expression carries its own coefficient (such as ), the chain rule pulls out that extra factor too — do not drop it.
Chain rule on an iterated function
Worked example
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The same idea in a real exam question:
Example 3 · Differentiation · Foundations, Chain Rule & Differentiability
Drop the inner coefficient and you lose a factor
Don't try to find a formula for
Concept 4 of 8: Simplify the Expression Before Differentiating
Definition
Before differentiating, look for cheap algebraic simplifications:
- Common factors in a quotient that cancel.
- Negative/fractional powers that combine — e.g. multiply top and bottom by the lower power to clear them.
- Identities that reduce a product or ratio to a standard form.
Only after the expression is in its simplest form do you apply the rules. This converts an ugly derivative into a routine one and removes most of the error surface.
Quotient rule (used after simplifying)
Worked example
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The same idea in a real exam question:
Example 4 · Differentiation · Foundations, Chain Rule & Differentiability
Simplify first, or the algebra buries you
Concept 5 of 8: Linear Approximation Using the Derivative
Definition
For a small change about a point : . Choose so that is easy to compute exactly; let be the small (possibly negative) gap to the target. The term is the tangent-line correction. The closer is to zero, the better the estimate.
Linear approximation
- anearby point with an easy exact value
- hsmall gap to the target (may be negative)
Worked example
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The same idea in a real exam question:
Example 5 · Differentiation · Foundations, Chain Rule & Differentiability
Pick small and signed correctly
The slope is the DERIVATIVE at , not at the target
Concept 6 of 8: The Derivative as the Slope of the Tangent
Definition
The slope of the tangent to at is . To find where the slope itself is greatest or least, treat the slope function as a new function and analyse IT: set to locate the candidate points, then compare -values. Equation of the tangent at : .
Slope of the tangent
- f'(a)instantaneous slope at
Worked example
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The same idea in a real exam question:
Example 6 · Differentiation · Foundations, Chain Rule & Differentiability
Minimum SLOPE means differentiate twice
Simplify the curve before differentiating
Concept 7 of 8: Differentiability and Where a Derivative Fails to Exist
Definition
is differentiable at if the left-hand derivative equals the right-hand derivative:
- Differentiable continuous (but NOT the converse — is continuous yet not differentiable at ).
- A derivative typically fails at corners ( at ), cusps, breaks (jump discontinuities), and vertical tangents.
- A modulus inside a product can be smoothed: if another factor vanishes at the corner, the product may be differentiable everywhere.
Differentiability test
Worked example
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The same idea in a real exam question:
Example 7 · Differentiation · Foundations, Chain Rule & Differentiability
Not every modulus is a non-differentiable point
Continuous does not mean differentiable
Concept 8 of 8: Trigonometric Simplification Toolkit
Definition
Keep these collapses in reflex memory:
- Half-angle of : , ; so , , .
- Power-reduction (double angle): , , .
- Perfect square under a root: and , so — keep the modulus; its sign depends on the interval.
- : , .
- Harmonic form: , so its extreme values are .
- Weierstrass : , — useful whenever a rational function of must be handled in one variable.
The collapses you reach for most
- half-angle — appears whenever you collapse
- the root of a perfect square is a MODULUS; fix the sign on the given interval
Worked example
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(half-angle) vs (power-reduction)
The root of a perfect square is a MODULUS
— mind which way the half-angle shifts
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 (8)
- Standard Derivatives and the Rules of Differentiation
Product rule
- The Chain Rule and Composite Functions
Chain rule
- Differentiating Iterated Functions f(f(x))
Chain rule on an iterated function
- Simplify the Expression Before Differentiating
Quotient rule (used after simplifying)
- Linear Approximation Using the Derivative
Linear approximation
- The Derivative as the Slope of the Tangent
Slope of the tangent
- Differentiability and Where a Derivative Fails to Exist
Differentiability test
- Trigonometric Simplification Toolkit
The collapses you reach for most
Watch out for (16)
- is , not→ Standard Derivatives and the Rules of Differentiation
- Quotient rule sign: numerator is→ Standard Derivatives and the Rules of Differentiation
- Never forget the inner derivative factor→ The Chain Rule and Composite Functions
- Evaluate the inner argument, not the outer, when a factor is zero→ The Chain Rule and Composite Functions
- Drop the inner coefficient and you lose a factor→ Differentiating Iterated Functions f(f(x))
- Don't try to find a formula for→ Differentiating Iterated Functions f(f(x))
- Simplify first, or the algebra buries you→ Simplify the Expression Before Differentiating
- Pick small and signed correctly→ Linear Approximation Using the Derivative
- The slope is the DERIVATIVE at , not at the target→ Linear Approximation Using the Derivative
- Minimum SLOPE means differentiate twice→ The Derivative as the Slope of the Tangent
- Simplify the curve before differentiating→ The Derivative as the Slope of the Tangent
- Not every modulus is a non-differentiable point→ Differentiability and Where a Derivative Fails to Exist
- Continuous does not mean differentiable→ Differentiability and Where a Derivative Fails to Exist
- (half-angle) vs (power-reduction)→ Trigonometric Simplification Toolkit
- The root of a perfect square is a MODULUS→ Trigonometric Simplification Toolkit
- — mind which way the half-angle shifts→ Trigonometric Simplification Toolkit
Test yourself on Differentiation
20 past MHT-CET questions from this chapter, timed at 36 minutes and marked the way the exam marks it. You see your score and every answer the moment you finish. Free to start.