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GATE CSE Calculus PYQs

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Calculus in GATE CS tests single-variable differential and integral calculus, foundational limit evaluations, continuity and differentiability of piecewise/abso… Read the guide

Questions
40
Asked
since 2011
Total marks
53
Marks / paper
2

40 GATE CSE Calculus PYQs with solutions, from Engineering Mathematics. Browse all GATE CSE PYQs.

Questions

Every official paper that asked this topic, newest first.

What GATE tests in Calculus

Concepts, patterns, formulas and traps distilled from past papers.

Calculus in GATE CS tests single-variable differential and integral calculus, foundational limit evaluations, continuity and differentiability of piecewise/absolute-value functions, and mean value theorems (Rolle's and LMVT). Earlier years (2012-2015) also included numerical methods such as Newton-Raphson, Bisection, and Trapezoidal/Simpson's rules, whereas recent papers (2020-2026) focus heavily on analytical properties: odd/even symmetry in single and multiple integrals, boundary extrema, points of non-differentiability, and MSQ-based structural analyses of functions.

Core concepts

  • Limits of indeterminate forms (0/0, infinity/infinity, infinity0)
  • Left-hand and right-hand limits, continuity, and differentiability at piecewise boundaries
  • Points of non-differentiability in functions with absolute values or max/min operators
  • Critical points, first and second derivative tests for local extrema
  • Endpoint (boundary) behavior and local extrema on closed intervals
  • Rolle's Theorem and Lagrange's Mean Value Theorem
  • Definite integration using substitution and integration by parts
  • Even/odd function symmetry properties in single, double, and triple integrals
  • Definite integrals with variable limits and integral equations
  • Numerical integration (Trapezoidal rule, Simpson's 1/3rd rule) and error characteristics
  • Newton-Raphson root finding, cycle detection, and convergence conditions
  • Even and odd polynomial decomposition
  • Properties of derivatives under function reflection (f(-x))
  • Degree reduction under polynomial differentiation
  • Definite integration of single-variable functions
  • Euler's formula and complex exponential representation
  • Fundamental Theorem of Calculus (substitution of limits)
  • Algebra of the imaginary unit i
  • Higher-order derivatives using the product rule
  • Linear combinations of derivatives and functions (differential relations)
  • Intermediate Value Theorem for continuous functions
  • Auxiliary function construction on transformed subintervals
  • Properties of definite integrals
  • King's property (reflection property ab f(x)dx = ab f(a+b-x)dx)
  • Linearity of definite integrals
  • Continuous functions and functional equations

Recurring question patterns

  • Indeterminate Limits and L'Hôpital's Rule

    Commonmixed1 marks2022, 2021, 2019, 2017

    Evaluating algebraic, trigonometric, or exponential limits evaluating to 0/0 or infinity/infinity using L'Hôpital's rule, variable substitution, or standard expansions.

  • Definite Integrals and Symmetry/Substitution

    Commonmixed1 marks2026, 2025, 2023, 2018

    Evaluating definite single, double, or triple integrals using integration by parts, substitution (u=1/xu = 1/x, u=x2u = x^2), or leveraging odd/even symmetry over symmetric intervals [−a,a][-a, a].

  • Continuity, Differentiability, and Parameter Matching

    Commonmixed1 marks2026, 2025, 2024, 2013

    Finding unknown constants or points of non-differentiability/discontinuity in piecewise functions, max/min combinations, or functions involving logarithmic singularities.

  • Extrema and Monotonicity Analysis

    Occasionalmixed1 marks2026, 2023, 2020, 2012

    Determining local maxima, local minima (including closed interval endpoints), or intervals where a given set of functions is strictly increasing using first and second derivatives.

  • Mean Value Theorems and Bounds

    Occasionalmixed1 marks2021, 2014

    Applying Lagrange's Mean Value Theorem (LMVT) or Rolle's Theorem to establish bounds on function values or prove existence of critical points.

  • Numerical Integration and Root Finding

    OccasionalMCQ2 marks2015, 2014, 2013, 2012

    Applying Simpson's 1/3rd rule, Trapezoidal rule, Newton-Raphson method, or Bisection method to discrete tabular data or analytical polynomials.

  • Parity Decomposition and Derivative Degree

    RareNAT1 marks2016

    Given symmetric or anti-symmetric combinations of a polynomial f(x) and its derivative g(x) = f'(x), determine the resulting degree or specific coefficient by decomposing f(x) into even and odd components.

  • Definite Integral with Euler Form Simplification

    RareMCQ2 marks2011

    Evaluating a definite integral whose integrand consists of complex trigonometric fractions that simplify neatly via Euler's identity eix=cos⁡x+isin⁡xe^{ix} = \cos x + i \sin x.

  • Higher-Order Derivative Differential Relation Matching

    OccasionalNAT2 marks2014

    Given an explicit function f(x) involving products of algebraic and trigonometric functions, compute its first and second derivatives and solve for an unknown scalar parameter t that satisfies a linear combination f''(x) + f(x) + t*g(x) = 0.

  • Continuous Function Property via Intermediate Value Theorem

    OccasionalMCQ2 marks2014

    Given discrete point evaluations of a continuous function on a closed interval [a, b], identify which existence statement must hold by defining an auxiliary difference function (e.g., g(y) = f(y) - f(y+1)) and checking sign changes.

  • Definite Integral via King's Property and Functional Symmetry

    CommonMCQ1 marks2024

    Given a continuous function satisfying a functional symmetry relation f(x)+f(a+b−x)=cf(x) + f(a+b-x) = c over [a,b][a, b], students evaluate ∫abf(x) dx\int_a^b f(x)\,dx by adding the integral to its reflected form (2I=∫abc dx2I = \int_a^b c\,dx).

Formulas GATE uses

L'Hôpital's Rule

lim⁡x→af(x)g(x)=lim⁡x→af′(x)g′(x)\lim_{x \to a} \frac{f(x)}{g(x)} = \lim_{x \to a} \frac{f^{\prime}(x)}{g^{\prime}(x)}

Used when direct substitution yields indeterminate forms 0/00/0 or ±∞/±∞\pm\infty/\pm\infty.

Lagrange's Mean Value Theorem (LMVT)

f′(c)=f(b)−f(a)b−a,c∈(a,b)f^{\prime}(c) = \frac{f(b) - f(a)}{b - a}, \quad c \in (a, b)

Used to establish maximum or minimum bounds for f(b)f(b) given bounds on f′(x)f^{\prime}(x) on a closed interval [a,b][a, b].

Integration by Parts

∫u dv=uv−∫v du\int u \, dv = u v - \int v \, du

Used to evaluate integrals of products of polynomial, logarithmic, or trigonometric functions.

Odd Function Definite Integral Symmetry

∫−aaf(x) dx=0if f(−x)=−f(x)\int_{-a}^a f(x) \, dx = 0 \quad \text{if } f(-x) = -f(x)

Used to simplify single and multi-variable symmetric integrals where components are odd.

Trapezoidal Rule

∫x0xnf(x) dx≈h2[f(x0)+f(xn)+2∑i=1n−1f(xi)]\int_{x_0}^{x_n} f(x)\,dx \approx \frac{h}{2}\left[f(x_0) + f(x_n) + 2\sum_{i=1}^{n-1} f(x_i)\right]

Used to numerically approximate definite integrals over equally spaced tabular points.

Simpson's 1/3rd Rule

∫x0xnf(x) dx≈h3[f(x0)+f(xn)+4∑odd if(xi)+2∑even if(xi)]\int_{x_0}^{x_n} f(x)\,dx \approx \frac{h}{3}\left[f(x_0) + f(x_n) + 4\sum_{\text{odd } i} f(x_i) + 2\sum_{\text{even } i} f(x_i)\right]

Used for numerical integration across an even number of subintervals with step size hh.

Newton-Raphson Iteration

xn+1=xn−f(xn)f′(xn)x_{n+1} = x_n - \frac{f(x_n)}{f^{\prime}(x_n)}

Used to compute successive root approximations and check convergence or oscillation.

Even-Odd Function Decomposition

f(x)=fe(x)+fo(x),f(x)+f(−x)=2fe(x),f(x)−f(−x)=2fo(x)f(x) = f_e(x) + f_o(x), \quad f(x) + f(-x) = 2f_e(x), \quad f(x) - f(-x) = 2f_o(x)

Used when separating a polynomial into strictly even-degree and odd-degree components.

Derivative Parity Rule

ddx[fe(x)]=fe′(x) (odd),ddx[fo(x)]=fo′(x) (even)\frac{d}{dx}[f_e(x)] = f_e^{\prime}(x) \text{ (odd)}, \quad \frac{d}{dx}[f_o(x)] = f_o^{\prime}(x) \text{ (even)}

Used to determine the parity and resulting combinations of derivatives g(x)±g(−x)g(x) \pm g(-x).

Degree of a Polynomial Derivative

degree(P′(x))=degree(P(x))−1(for degree(P)≥1)\text{degree}(P^{\prime}(x)) = \text{degree}(P(x)) - 1 \quad (\text{for } \text{degree}(P) \ge 1)

Used to compute the degree of differentiated polynomial terms.

Euler's Formula

eix=cos⁡x+isin⁡x,e−ix=cos⁡x−isin⁡xe^{ix} = \cos x + i \sin x, \quad e^{-ix} = \cos x - i \sin x

Used to convert trigonometric expressions involving ii into exponential form for simplified integration.

Integration of Exponential with Constant Multiplier

∫ekx dx=ekxk+C\int e^{kx}\,dx = \frac{e^{kx}}{k} + C

Used to integrate the simplified complex exponential function.

Properties of the Imaginary Unit

1i=−i,eiπ=−1\frac{1}{i} = -i, \quad e^{i\pi} = -1

Used to simplify the final definite integral result after substituting the upper and lower limits.

Product Rule of Differentiation

ddx[u(x)v(x)]=u′(x)v(x)+u(x)v′(x)\frac{d}{dx}[u(x)v(x)] = u^{\prime}(x)v(x) + u(x)v^{\prime}(x)

Used to compute successive derivatives of products such as f(x)=xsin⁡xf(x) = x \sin x.

Intermediate Value Theorem (IVT)

If g is continuous on [a,b] and g(a)⋅g(b)<0, then ∃c∈(a,b) such that g(c)=0\text{If } g \text{ is continuous on } [a,b] \text{ and } g(a) \cdot g(b) < 0, \text{ then } \exists c \in (a,b) \text{ such that } g(c) = 0

Used to prove the existence of points where f(y)=f(y+1)f(y) = f(y+1) by evaluating the sign of g(y)=f(y)−f(y+1)g(y) = f(y) - f(y+1) at interval endpoints.

King's Rule of Definite Integrals

∫abf(x) dx=∫abf(a+b−x) dx\int_a^b f(x)\,dx = \int_a^b f(a + b - x)\,dx

Used when the integrand exhibits symmetry around the midpoint a+b2\frac{a+b}{2}, or when a relation between f(x)f(x) and f(a+b−x)f(a+b-x) is given.

Integral Evaluation via Symmetry Sum

I=12∫ab[f(x)+f(a+b−x)] dx=c(b−a)2if f(x)+f(a+b−x)=cI = \frac{1}{2} \int_a^b \big[f(x) + f(a+b-x)\big]\,dx = \frac{c(b-a)}{2} \quad \text{if } f(x) + f(a+b-x) = c

Direct evaluation shortcut when f(x)+f(a+b−x)f(x) + f(a+b-x) is a known constant cc over [a,b][a, b].

Examiner traps in Calculus

  • Forgetting that local extrema on a closed interval can occur at boundary points where f'(x) ≠ 0, not only at interior critical points where f'(x) = 0.
  • Failing to check both continuity (LHL = RHL = f(a)) and differentiability (LHD = RHD) when solving for piecewise parameters.
  • Ignoring sign changes when splitting integrals containing absolute values like |x sin x|.
  • Applying L'Hôpital's Rule when the limit is NOT in an indeterminate form 0/0 or ∞/∞.
  • Assuming Newton-Raphson always converges, overlooking 2-cycles or oscillating loops.
  • Overlooking the degree of exactness (Simpson's 1/3rd rule is exact for polynomials up to degree 3, Trapezoidal for degree 1).
  • Missing logarithmic blowups as x → 0+ (e.g., ln(1/x) → +∞) when checking continuity at zero.
  • Assuming f(x) is purely even rather than realizing f(x) + f(-x) simply filters out the odd-degree terms.
  • Confusing the parities of g(x) - g(-x) (which extracts 2go(x) = 2fe'(x)) with g(x) + g(-x) (which extracts 2ge(x) = 2fo'(x)).
  • Failing to reduce the polynomial degree by 1 after differentiation.
  • Sign errors in complex unit division, e.g., confusing (-1)/(i) = i with -i.
  • Forgetting the chain rule constant factor (e.g., 2i) in the denominator when integrating e2ix.
  • Attempting lengthy trigonometric substitutions or rationalization instead of applying Euler's identity.
  • Sign errors when taking the derivative of trigonometric terms (e.g., differentiating cos x vs sin x in product rule steps)
  • Assuming symmetry properties (e.g., f(y) = f(2-y)) must hold for all points rather than existential relations guaranteed by IVT
  • Confusing a local sample value with a global extrema (e.g., assuming f(1)=1 must be the absolute maximum on the interval)
  • Forgetting to divide by 2 after adding I + I = 2I, leading to an answer that is double the correct value (e.g., picking 2 instead of 1).
  • Incorrectly evaluating the width of the interval (b - a) when applying ab 1 dx.
  • Sign errors when rearranging the functional equation f(x) = c - f(a+b-x) into f(x) + f(a+b-x) = c.

How questions are asked

  • Evaluate limit of indeterminate expression
  • Determine points of non-differentiability or discontinuity
  • Find unknown parameter to enforce continuity/differentiability
  • Identify true/false statements about local extrema via MSQ
  • Evaluate definite integral using substitution or integration by parts
  • Evaluate multiple integral via symmetry/odd function cancellation
  • Compute bound using Lagrange's Mean Value Theorem
  • Evaluate definite integral from discrete table via Trapezoidal/Simpson's rule
  • Simulate iterations of Newton-Raphson or Bisection method
  • Find degree of derivative/functional combination (NAT)
  • Definite integral evaluation with trigonometric and complex algebraic terms
  • Direct parameter evaluation from a differential equation identity (NAT)
  • Deductive truth verification for continuous function intervals (MCQ)
  • Definite integral of an implicit function satisfying a functional identity
  • Direct evaluation MCQ with simple integer options

Paper trends

  • Shift away from traditional numerical methods (Bisection, Simpson's, Trapezoidal) toward rigorous analytical questions on continuity, differentiability of piecewise/max functions, and MSQ-style multi-statement verification.

    2026, 2025, 2024, 2023, 2022, 2021, 2020

  • Increase in NAT and MSQ questions testing edge-case analysis, such as odd function cancellation in multiple integrals or continuity behavior of derivatives.

    2026, 2025, 2024, 2023, 2021

  • Heavy proportion of 1-mark foundational questions focusing on clean analytical evaluations (limits, substitutions, parameter matching).

    2026, 2025, 2022, 2021, 2020, 2019, 2018, 2017, 2016

  • Appeared as a conceptual 1-mark NAT question focusing on the interplay between polynomial degrees, parity, and the derivative operator.

    2016

  • In the provided set, integration appears as an algebraic/identity-driven problem in 2011, testing 2-mark conceptual simplification rather than heavy numerical approximations.

    2011

  • Questions are split between symbolic mechanical differentiation evaluated via NAT and proof-like existential deduction evaluated via 4-option MCQ.

    2014

  • Introduction of conceptual, functional equation-driven 1-mark definite integral questions that reward property recognition over algebraic heavy-lifting.

    2024

Difficulty notes

Easy: Direct limit evaluations via L'Hôpital's Rule, standard 1-step substitution integrals, polynomial second derivative test for extrema, and piecewise parameter matching with linear/polynomial equations. Medium: Extrema including boundary points on closed intervals, differentiability analysis of composite max/min/absolute value functions, multi-step integration by parts with variable bounds, triple integrals requiring odd/even decomposition, counting discontinuity points in decimal-digit functions, and multi-statement MSQs analyzing higher-order derivatives.