🇮🇳 GATE Petroleum Engineering · subject
GATE Petroleum Engineering Engineering Mathematics Syllabus
Every chapter and topic of Engineering Mathematics examined in GATE Petroleum Engineering — 6 chapters, 35 topics, plus 51 flashcards written against it.
Engineering Mathematics syllabus — full chapter and topic list
Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Engineering Mathematics in GATE Petroleum Engineering, not a summary of it.
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Linear Algebra
3 topics- Matrix algebra
- Systems of linear equations
- Eigen values and eigenvectors
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Calculus
14 topics- Functions of single variable
- Limit, continuity and differentiability
- Taylor series
- Mean value theorems
- Evaluation of definite and improper integrals
- Partial derivatives
- Total derivative
- Maxima and minima
- Gradient
- Divergence and Curl
- Vector identities
- Directional derivatives
- Line, Surface and Volume integrals
- Stokes, Gauss and Green’s theorems
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Differential Equations
6 topics- First order equations (linear and nonlinear)
- Higher order linear differential equations with constant coefficients
- Cauchy’s and Euler’s equations
- Initial and boundary value problems
- Laplace transforms
- Solutions of one dimensional heat and wave equations and Laplace equation
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Complex Variables
3 topics- Complex number
- Polar form of complex number
- Triangle inequality
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Probability and Statistics
6 topics- Definitions of probability and sampling theorems
- Conditional probability
- Mean, median, mode and standard deviation
- Random variables
- Poisson, Normal and Binomial distributions
- Linear regression analysis
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Numerical Methods
3 topics- Numerical solutions of linear and non-linear algebraic equations
- Integration by trapezoidal and Simpson’s rule
- Single and multi-step methods for numerical solution of differential equations
Engineering Mathematics flashcards for GATE Petroleum Engineering
21 of 51 cards from the Engineering Mathematics deck — real questions with worked answers.
What is the necessary and sufficient condition for a square matrix $A$ to be invertible (non-singular)?
Its determinant must be non-zero, $\det(A) \neq 0$. Equivalently, $A$ has full rank and its columns (rows) are linearly independent.
State the formula for the inverse of a non-singular matrix $A$ in terms of its adjugate.
$$A^{-1} = \frac{1}{\det(A)}\,\operatorname{adj}(A)$$ where $\operatorname{adj}(A)$ is the transpose of the cofactor matrix.
For a $2\times 2$ matrix $A=\begin{pmatrix} a & b \\ c & d \end{pmatrix}$, give $\det(A)$ and $A^{-1}$.
$\det(A)=ad-bc$, and $$A^{-1}=\frac{1}{ad-bc}\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}.$$
What is the rank of a matrix, and how is it found?
The rank is the maximum number of linearly independent rows (or columns), equal to the number of non-zero rows in row echelon form, or the order of the largest non-vanishing minor.
State the properties of determinants: effect of (a) swapping two rows, (b) multiplying a row by scalar $k$, (c) a repeated row.
(a) Swapping two rows multiplies the determinant by $-1$. (b) Multiplying one row by $k$ multiplies the determinant by $k$. (c) Two identical rows give $\det = 0$.
State the Cayley–Hamilton theorem.
Every square matrix satisfies its own characteristic equation: if $p(\lambda)=\det(A-\lambda I)=0$, then substituting $A$ gives $p(A)=0$.
How many solutions does a system $A\vec{x}=\vec{b}$ have based on rank? State the consistency conditions.
With $n$ unknowns: if $\operatorname{rank}(A)=\operatorname{rank}([A|b])=n$, unique solution; if both ranks equal but $<n$, infinitely many; if $\operatorname{rank}(A)\neq\operatorname{rank}([A|b])$, no solution (inconsistent).
For a homogeneous system $A\vec{x}=\vec{0}$, when does a non-trivial solution exist?
A non-trivial solution exists if and only if $\det(A)=0$, i.e. $\operatorname{rank}(A)<n$ (number of unknowns). Otherwise only $\vec{x}=\vec{0}$.
State Cramer's rule for solving $A\vec{x}=\vec{b}$.
For a non-singular $A$, $$x_i=\frac{\det(A_i)}{\det(A)}$$ where $A_i$ is $A$ with its $i$-th column replaced by $\vec{b}$.
Define the eigenvalues and eigenvectors of a square matrix $A$.
A scalar $\lambda$ and non-zero vector $\vec{x}$ satisfying $A\vec{x}=\lambda\vec{x}$. The eigenvalues solve the characteristic equation $\det(A-\lambda I)=0$; each $\vec{x}$ is the corresponding eigenvector.
For an $n\times n$ matrix, relate the sum and product of eigenvalues to the matrix.
Sum of eigenvalues $=\operatorname{trace}(A)=\sum a_{ii}$. Product of eigenvalues $=\det(A)$.
What are the eigenvalues of $A^{-1}$, $A^{k}$, and $A^{T}$ in terms of the eigenvalues $\lambda$ of $A$?
$A^{-1}$ has eigenvalues $\frac{1}{\lambda}$; $A^{k}$ has eigenvalues $\lambda^{k}$; $A^{T}$ has the same eigenvalues $\lambda$ as $A$.
What are the eigenvalues of (a) a triangular matrix and (b) a symmetric real matrix?
(a) The diagonal entries themselves. (b) All real, and eigenvectors for distinct eigenvalues are orthogonal.
Define the limit of a function: $\lim_{x\to a} f(x)=L$.
For every $\varepsilon>0$ there exists $\delta>0$ such that $0<|x-a|<\delta \implies |f(x)-L|<\varepsilon$. The left- and right-hand limits must both equal $L$.
State the condition for a function $f$ to be continuous at $x=a$.
$f$ is continuous at $a$ if $\lim_{x\to a} f(x)=f(a)$; i.e. $f(a)$ exists, the limit exists, and they are equal.
What is the relationship between differentiability and continuity?
Differentiability implies continuity, but continuity does not imply differentiability (e.g. $f(x)=|x|$ is continuous yet not differentiable at $x=0$).
State the definition of the derivative of $f$ at $x$ as a limit.
$$f'(x)=\lim_{h\to 0}\frac{f(x+h)-f(x)}{h}$$ provided the limit exists.
Write the Taylor series expansion of $f(x)$ about $x=a$.
$$f(x)=\sum_{n=0}^{\infty}\frac{f^{(n)}(a)}{n!}(x-a)^{n}=f(a)+f'(a)(x-a)+\frac{f''(a)}{2!}(x-a)^{2}+\cdots$$
What is a Maclaurin series, and give the expansion of $e^{x}$.
A Taylor series about $a=0$. $$e^{x}=\sum_{n=0}^{\infty}\frac{x^{n}}{n!}=1+x+\frac{x^{2}}{2!}+\frac{x^{3}}{3!}+\cdots$$
Give the Maclaurin series for $\sin x$ and $\cos x$.
$$\sin x=x-\frac{x^{3}}{3!}+\frac{x^{5}}{5!}-\cdots,\qquad \cos x=1-\frac{x^{2}}{2!}+\frac{x^{4}}{4!}-\cdots$$
State Rolle's theorem.
If $f$ is continuous on $[a,b]$, differentiable on $(a,b)$, and $f(a)=f(b)$, then there exists $c\in(a,b)$ with $f'(c)=0$.
Planning Engineering Mathematics for GATE Petroleum Engineering
Engineering Mathematics is about 35% of the GATE Petroleum Engineering syllabus by topic count — 35 of 101 topics, spread over 6 chapters. At roughly 45 minutes per topic plus 12 minutes per sub-topic, a first pass runs to about 25 hours.
The heaviest chapters are Calculus (14 topics), Differential Equations (6 topics), Probability and Statistics (6 topics) . Front-load those while your energy is high; the short chapters are better revision filler later.
Work top-down: read the chapter, then tick topics off individually rather than marking the whole chapter done. Sub-topics are where silent gaps hide.
Engineering Mathematics (GATE Petroleum Engineering) FAQ
What is in the GATE Petroleum Engineering Engineering Mathematics syllabus?
Engineering Mathematics is split into 6 chapters — Linear Algebra, Calculus, Differential Equations, Complex Variables, Probability and Statistics and Numerical Methods, containing 35 topics and 0 sub-topics in total.
How is Engineering Mathematics structured in the GATE Petroleum Engineering syllabus?
6 chapters. Engineering Mathematics accounts for about 35% of the topics in the whole GATE Petroleum Engineering syllabus (35 of 101).
How long should I spend on Engineering Mathematics for GATE Petroleum Engineering?
Budget around 25 hours for a first pass through Engineering Mathematics — about 45 minutes per topic plus 12 minutes per sub-topic across its 35 topics. Add revision cycles on top.
Are there flashcards for GATE Petroleum Engineering Engineering Mathematics?
Yes — a 51-card Engineering Mathematics deck. Sample cards are printed on this page, and the full deck is free in the Examius app with spaced repetition scheduling.