🇮🇳 GATE Civil Engineering · subject
GATE Civil Engineering Engineering Mathematics Syllabus
The Engineering Mathematics syllabus for GATE Civil Engineering in full: 6 chapters and 33 topics, every one listed below, plus 51 Engineering Mathematics flashcards with answers.
Engineering Mathematics syllabus: all 6 chapters
Expand any chapter to see its topics and sub-topics.
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Linear Algebra
3 topics- Matrix algebra
- Systems of linear equations
- Eigen values and Eigen vectors
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Calculus
10 topics- Functions of single variable
- Limit, continuity and differentiability
- Mean value theorems, local maxima and minima
- Taylor series
- Evaluation of definite and indefinite integrals, application of definite integral to obtain area and volume
- Partial derivatives
- Total derivative
- Gradient, Divergence and Curl, Vector identities
- Directional derivatives
- Line, Surface and Volume integrals
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Ordinary Differential Equation (ODE)
4 topics- First order (linear and non-linear) equations
- Higher order linear equations with constant coefficients
- Euler-Cauchy equations
- Initial and boundary value problems
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Partial Differential Equation (PDE)
5 topics- Fourier series
- Separation of variables
- Solutions of one-dimensional diffusion equation
- First and second order one-dimensional wave equation
- Two-dimensional Laplace equation
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Probability and Statistics
5 topics- Sampling theorems
- Conditional probability
- Descriptive statistics – Mean, median, mode and standard deviation
- Random Variables – Discrete and Continuous, Poisson and Normal Distribution
- Linear regression
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Numerical Methods
6 topics- Error analysis
- Numerical solutions of linear and non-linear algebraic equations
- Newton’s and Lagrange polynomials
- Numerical differentiation
- Integration by trapezoidal and Simpson’s rule
- Single and multi-step methods for first order differential equations
GATE Civil Engineering Engineering Mathematics flashcards — 51 questions with answers
What is a symmetric matrix, and what condition defines it?
A square matrix $A$ is symmetric if it equals its own transpose: $A = A^{T}$, i.e. $a_{ij} = a_{ji}$ for all $i,j$.
Define a skew-symmetric matrix and state a key property of its diagonal elements.
A square matrix is skew-symmetric if $A^{T} = -A$, i.e. $a_{ij} = -a_{ji}$. All diagonal elements are zero ($a_{ii} = 0$).
What is an orthogonal matrix and what is the value of its determinant?
A square matrix $A$ is orthogonal if $A^{T}A = AA^{T} = I$, so $A^{-1} = A^{T}$. Its determinant is $\pm 1$.
State the formula for the inverse of a non-singular matrix $A$ in terms of its adjoint.
$$A^{-1} = \frac{1}{\det(A)}\,\operatorname{adj}(A), \quad \det(A) \neq 0$$
What does the rank of a matrix represent?
The rank is the maximum number of linearly independent rows (or columns), equal to the order of the largest non-zero minor / number of non-zero rows in row echelon form.
State the property relating determinants of a product: $\det(AB) = ?$
$$\det(AB) = \det(A)\,\det(B)$$
For a matrix product, what is $(AB)^{T}$ and $(AB)^{-1}$?
$(AB)^{T} = B^{T}A^{T}$ and $(AB)^{-1} = B^{-1}A^{-1}$ (reversal of order).
Using Cramer's rule, how is $x_{i}$ found for the system $Ax = b$?
$$x_{i} = \frac{\det(A_{i})}{\det(A)}$$ where $A_{i}$ is $A$ with its $i$-th column replaced by $b$ (requires $\det(A) \neq 0$).
State the Rouché–Capelli consistency condition for a linear system $Ax = b$.
The system is consistent iff $\operatorname{rank}(A) = \operatorname{rank}([A\,|\,b])$. If this common rank equals the number of unknowns $n$, the solution is unique; if less than $n$, infinitely many solutions exist.
For a homogeneous system $Ax = 0$, when does a non-trivial solution exist?
A non-trivial solution exists iff $\det(A) = 0$ (i.e. $\operatorname{rank}(A) < n$, the number of unknowns).
Define an eigenvalue and eigenvector of a square matrix $A$.
A scalar $\lambda$ and non-zero vector $x$ satisfying $Ax = \lambda x$. $\lambda$ is the eigenvalue and $x$ the corresponding eigenvector.
What is the characteristic equation used to find eigenvalues?
$$\det(A - \lambda I) = 0$$
State the relationship between the trace of a matrix and its eigenvalues.
The sum of the eigenvalues equals the trace: $\sum \lambda_{i} = \operatorname{trace}(A) = \sum a_{ii}$.
How does the product of all eigenvalues relate to the determinant?
$$\prod_{i} \lambda_{i} = \det(A)$$
State the Cayley–Hamilton theorem.
Every square matrix satisfies its own characteristic equation: if $p(\lambda) = \det(A - \lambda I)$, then $p(A) = 0$.
What are the eigenvalues of a triangular (or diagonal) matrix?
They are exactly the diagonal entries of the matrix.
What can you say about the eigenvalues of a real symmetric matrix?
They are always real, and eigenvectors corresponding to distinct eigenvalues are orthogonal.
If $\lambda$ is an eigenvalue of $A$, what are the eigenvalues of $A^{-1}$ and $A^{k}$?
$A^{-1}$ has eigenvalue $\frac{1}{\lambda}$; $A^{k}$ has eigenvalue $\lambda^{k}$ (with the same eigenvector).
State the formal $\varepsilon$–$\delta$ definition of $\lim_{x \to a} f(x) = L$.
For every $\varepsilon > 0$ there exists $\delta > 0$ such that $0 < |x - a| < \delta \implies |f(x) - L| < \varepsilon$.
State the three conditions for a function $f$ to be continuous at $x = a$.
(1) $f(a)$ is defined; (2) $\lim_{x \to a} f(x)$ exists; (3) $\lim_{x \to a} f(x) = f(a)$.
Show the other 31 Engineering Mathematics flashcards
What is the relationship between differentiability and continuity at a point?
Differentiability implies continuity, but continuity does not imply differentiability (e.g. $f(x)=|x|$ at $x=0$).
State the limit definition of the derivative $f'(x)$.
$$f'(x) = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h}$$
State L'HĂ´pital's rule for the indeterminate form $\frac{0}{0}$.
If $\lim \frac{f(x)}{g(x)}$ is of form $\frac{0}{0}$ or $\frac{\infty}{\infty}$, then $$\lim \frac{f(x)}{g(x)} = \lim \frac{f'(x)}{g'(x)}$$ provided the latter exists.
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 $f'(c) = 0$.
State the Lagrange Mean Value Theorem.
If $f$ is continuous on $[a,b]$ and differentiable on $(a,b)$, there exists $c \in (a,b)$ such that $$f'(c) = \frac{f(b) - f(a)}{b - a}$$
State the second derivative test for local extrema of $f(x)$ at a critical point $c$ where $f'(c)=0$.
If $f''(c) > 0$, $c$ is a local minimum; if $f''(c) < 0$, a local maximum; if $f''(c) = 0$, the test is inconclusive.
Write the Taylor series expansion of $f(x)$ about the point $x = a$.
$$f(x) = \sum_{n=0}^{\infty} \frac{f^{(n)}(a)}{n!}(x-a)^{n} = f(a) + f'(a)(x-a) + \frac{f''(a)}{2!}(x-a)^{2} + \cdots$$
What is a Maclaurin series, and write the expansion of $e^{x}$.
A Maclaurin series is a Taylor series about $a = 0$. $$e^{x} = \sum_{n=0}^{\infty} \frac{x^{n}}{n!} = 1 + x + \frac{x^{2}}{2!} + \frac{x^{3}}{3!} + \cdots$$
Write the Maclaurin series expansions of $\sin x$ 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 the Fundamental Theorem of Calculus (evaluation form).
If $F'(x) = f(x)$, then $$\int_{a}^{b} f(x)\,dx = F(b) - F(a)$$
State the integration by parts formula.
$$\int u\,dv = uv - \int v\,du$$
Write the formula for the area between two curves $y = f(x)$ and $y = g(x)$ from $x=a$ to $x=b$ (with $f \geq g$).
$$A = \int_{a}^{b} \big[f(x) - g(x)\big]\,dx$$
State the disk method formula for the volume of a solid of revolution about the $x$-axis.
$$V = \pi \int_{a}^{b} \big[f(x)\big]^{2}\,dx$$
Define the partial derivative $\frac{\partial f}{\partial x}$ of $f(x,y)$.
$$\frac{\partial f}{\partial x} = \lim_{h \to 0} \frac{f(x+h, y) - f(x, y)}{h}$$ the rate of change of $f$ with respect to $x$ holding $y$ constant.
State the total derivative (total differential) of $z = f(x, y)$.
$$dz = \frac{\partial f}{\partial x}\,dx + \frac{\partial f}{\partial y}\,dy$$
For $z = f(x,y)$ with $x = x(t)$, $y = y(t)$, write the chain rule for $\frac{dz}{dt}$.
$$\frac{dz}{dt} = \frac{\partial f}{\partial x}\frac{dx}{dt} + \frac{\partial f}{\partial y}\frac{dy}{dt}$$
Define the gradient of a scalar field $\phi(x,y,z)$.
$$\nabla \phi = \frac{\partial \phi}{\partial x}\hat{i} + \frac{\partial \phi}{\partial y}\hat{j} + \frac{\partial \phi}{\partial z}\hat{k}$$ It points in the direction of maximum increase of $\phi$.
Define the divergence of a vector field $\vec{F} = F_{1}\hat{i} + F_{2}\hat{j} + F_{3}\hat{k}$.
$$\nabla \cdot \vec{F} = \frac{\partial F_{1}}{\partial x} + \frac{\partial F_{2}}{\partial y} + \frac{\partial F_{3}}{\partial z}$$ (a scalar).
Write the curl of a vector field $\vec{F}$ in determinant form.
$$\nabla \times \vec{F} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ \frac{\partial}{\partial x} & \frac{\partial}{\partial y} & \frac{\partial}{\partial z} \\ F_{1} & F_{2} & F_{3} \end{vmatrix}$$
State the two key vector identities: $\nabla \cdot (\nabla \times \vec{F})$ and $\nabla \times (\nabla \phi)$.
$$\nabla \cdot (\nabla \times \vec{F}) = 0, \qquad \nabla \times (\nabla \phi) = \vec{0}$$ Divergence of a curl is zero; curl of a gradient is the zero vector.
Write the formula for the directional derivative of $\phi$ in the direction of unit vector $\hat{a}$.
$$D_{\hat{a}}\phi = \nabla \phi \cdot \hat{a}$$ It is maximum when $\hat{a}$ is along $\nabla\phi$, equal to $|\nabla\phi|$.
State the Green's theorem relating a line integral to a double integral.
$$\oint_{C} (P\,dx + Q\,dy) = \iint_{R} \left( \frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y} \right) dx\,dy$$
State the Divergence (Gauss) theorem.
$$\iint_{S} \vec{F} \cdot \hat{n}\,dS = \iiint_{V} (\nabla \cdot \vec{F})\,dV$$ relating the surface flux to the volume integral of divergence.
State Stokes' theorem.
$$\oint_{C} \vec{F} \cdot d\vec{r} = \iint_{S} (\nabla \times \vec{F}) \cdot \hat{n}\,dS$$ relating a line integral around $C$ to the surface integral of the curl.
What is the standard form and integrating factor of a first-order linear ODE?
Standard form: $\frac{dy}{dx} + P(x)y = Q(x)$. Integrating factor: $$\mu = e^{\int P(x)\,dx}$$ Solution: $y\,\mu = \int Q\,\mu\,dx + C$.
What is the condition for the equation $M\,dx + N\,dy = 0$ to be exact?
$$\frac{\partial M}{\partial y} = \frac{\partial N}{\partial x}$$
Write the standard form of a Bernoulli equation and the substitution used to solve it.
$\frac{dy}{dx} + P(x)y = Q(x)\,y^{n}$. Substitute $v = y^{1-n}$ to convert it into a linear ODE in $v$.
For a higher-order linear ODE with constant coefficients, how is the complementary function found when the auxiliary equation has distinct real roots $m_{1}, m_{2}$?
$$y_{c} = C_{1}e^{m_{1}x} + C_{2}e^{m_{2}x}$$ For a repeated root $m$: $y_{c} = (C_{1} + C_{2}x)e^{mx}$; for complex roots $\alpha \pm i\beta$: $y_{c} = e^{\alpha x}(C_{1}\cos\beta x + C_{2}\sin\beta x)$.
What substitution converts the Euler–Cauchy equation $x^{2}y'' + axy' + by = 0$ into a constant-coefficient ODE?
Substitute $x = e^{t}$ (i.e. $t = \ln x$), which transforms it into a linear ODE with constant coefficients in $t$. Equivalently, try a solution $y = x^{m}$.
Distinguish an initial value problem (IVP) from a boundary value problem (BVP).
An IVP specifies all conditions at a single value of the independent variable (e.g. $y(0)$ and $y'(0)$). A BVP specifies conditions at two or more different points (e.g. $y(0)$ and $y(L)$).
Write the Fourier series of a function $f(x)$ of period $2L$, including the Euler formula for $a_{n}$.
$$f(x) = \frac{a_{0}}{2} + \sum_{n=1}^{\infty}\left(a_{n}\cos\frac{n\pi x}{L} + b_{n}\sin\frac{n\pi x}{L}\right)$$ with $$a_{n} = \frac{1}{L}\int_{-L}^{L} f(x)\cos\frac{n\pi x}{L}\,dx$$
GATE Civil Engineering Engineering Mathematics FAQ
What is in the GATE Civil Engineering Engineering Mathematics syllabus?
GATE Civil Engineering Engineering Mathematics is split into 6 chapters: Linear Algebra, Calculus, Ordinary Differential Equation (ODE), Partial Differential Equation (PDE), Probability and Statistics and Numerical Methods. Together they contain 33 topics.
How many chapters are in GATE Civil Engineering Engineering Mathematics?
6 chapters, containing 33 topics. The largest chapter is Calculus, with 10 topics.
Are there flashcards for GATE Civil Engineering Engineering Mathematics?
Yes — a 51-card Engineering Mathematics deck, printed in full in the flashcards section of this page and available in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.