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GATE Marine Engineering Engineering Mathematics Flashcards

51 question-and-answer cards covering Engineering Mathematics as it is examined in GATE Marine Engineering. 24 of them are printed below, taken from across the deck — no signup, no paywall on the preview.

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18Syllabus topics
~141Chars per answer
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24 sample cards from the Engineering Mathematics deck

Sampled from the end of the deck, so these are different cards from the ones shown on the syllabus page.

  1. When is a vector field $\vec{F}$ called solenoidal, and when is it irrotational?

    Solenoidal if $\nabla \cdot \vec{F} = 0$ (divergence-free). Irrotational (conservative) if $\nabla \times \vec{F} = 0$.

  2. What are the values of $\nabla \times (\nabla\phi)$ and $\nabla \cdot (\nabla \times \vec{F})$?

    Both are zero: $\nabla \times (\nabla\phi) = \vec{0}$ (curl of a gradient) and $\nabla \cdot (\nabla \times \vec{F}) = 0$ (divergence of a curl).

  3. Write the Laplacian of a scalar field $\phi$ in terms of the del operator and in Cartesian form.

    $$\nabla^{2}\phi = \nabla \cdot (\nabla\phi) = \frac{\partial^{2}\phi}{\partial x^{2}} + \frac{\partial^{2}\phi}{\partial y^{2}} + \frac{\partial^{2}\phi}{\partial z^{2}}$$

  4. State the chain rule for $z = f(x,y)$ where $x = x(t)$ and $y = y(t)$.

    $$\frac{dz}{dt} = \frac{\partial z}{\partial x}\frac{dx}{dt} + \frac{\partial z}{\partial y}\frac{dy}{dt}$$

  5. State the chain rule for $z = f(u,v)$ where $u = u(x,y)$ and $v = v(x,y)$, giving $\frac{\partial z}{\partial x}$.

    $$\frac{\partial z}{\partial x} = \frac{\partial z}{\partial u}\frac{\partial u}{\partial x} + \frac{\partial z}{\partial v}\frac{\partial v}{\partial x}$$

  6. What is the directional derivative of a scalar field $\phi$ in the direction of unit vector $\hat{a}$?

    $$D_{\hat{a}}\phi = \nabla\phi \cdot \hat{a}$$ It gives the rate of change of $\phi$ along $\hat{a}$.

  7. In what direction is the directional derivative of $\phi$ maximum, and what is its maximum value?

    It is maximum in the direction of $\nabla\phi$, and the maximum value equals $|\nabla\phi|$.

  8. Define a line integral of a vector field $\vec{F}$ along a curve $C$.

    $$\int_{C} \vec{F} \cdot d\vec{r} = \int_{C} (F_{1}\,dx + F_{2}\,dy + F_{3}\,dz)$$ It represents work done by $\vec{F}$ along $C$.

  9. When is a line integral $\int_{C}\vec{F}\cdot d\vec{r}$ independent of the path?

    When $\vec{F}$ is conservative, i.e. $\nabla \times \vec{F} = \vec{0}$ and $\vec{F} = \nabla\phi$. Then $\int_{C}\vec{F}\cdot d\vec{r} = \phi(B) - \phi(A)$, depending only on endpoints.

  10. State Green's theorem relating a line integral to a double (surface) integral in the plane.

    $$\oint_{C} (P\,dx + Q\,dy) = \iint_{R}\left(\frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y}\right)dx\,dy$$

  11. State Stokes' theorem relating a line integral to a surface integral.

    $$\oint_{C}\vec{F}\cdot d\vec{r} = \iint_{S}(\nabla \times \vec{F})\cdot \hat{n}\,dS$$ where $C$ is the boundary of surface $S$.

  12. State the Gauss divergence theorem relating a surface integral to a volume integral.

    $$\iint_{S}\vec{F}\cdot \hat{n}\,dS = \iiint_{V}(\nabla \cdot \vec{F})\,dV$$ where $S$ is the closed surface bounding volume $V$.

  13. How is the volume of a region $V$ expressed as a triple (volume) integral?

    $$\text{Volume} = \iiint_{V} dV = \iiint_{V} dx\,dy\,dz$$

  14. Distinguish between linear and non-linear equations.

    A linear equation has unknowns appearing only to the first power with no products of unknowns (e.g. $ax + by = c$). A non-linear equation contains powers $\geq 2$, products, or transcendental functions of the unknowns (e.g. $x^{2} + xy = 1$).

  15. Write the Newton-Raphson iteration formula for solving a non-linear equation $f(x) = 0$.

    $$x_{n+1} = x_{n} - \frac{f(x_{n})}{f'(x_{n})}$$ It has quadratic convergence near a simple root.

  16. Write the iteration formula of the bisection (or secant) method; give the secant method formula for $f(x)=0$.

    Secant method: $$x_{n+1} = x_{n} - f(x_{n})\frac{x_{n} - x_{n-1}}{f(x_{n}) - f(x_{n-1})}$$ It needs two starting points and no derivative.

  17. Define the order and degree of a differential equation.

    Order = order of the highest derivative present. Degree = power of the highest-order derivative after the equation is made free of radicals and fractions in derivatives.

  18. Write the standard form of a first-order linear differential equation and its integrating factor.

    Standard form: $\frac{dy}{dx} + P(x)y = Q(x)$. Integrating factor: $$\text{I.F.} = e^{\int P\,dx}$$ Solution: $y\cdot(\text{I.F.}) = \int Q\cdot(\text{I.F.})\,dx + C$.

  19. What is the condition for a first-order equation $M\,dx + N\,dy = 0$ to be exact, and its solution method?

    Exact if $\dfrac{\partial M}{\partial y} = \dfrac{\partial N}{\partial x}$. Solution: find $\phi$ with $\frac{\partial \phi}{\partial x}=M$, $\frac{\partial \phi}{\partial y}=N$, giving $\phi(x,y)=C$.

  20. How is a variable-separable first-order ODE solved?

    Rewrite as $f(y)\,dy = g(x)\,dx$, then integrate both sides: $$\int f(y)\,dy = \int g(x)\,dx + C$$

  21. For a higher-order linear ODE with constant coefficients, what is the auxiliary (characteristic) equation and the complementary function for distinct real roots $m_1, m_2$?

    Auxiliary equation: replace $D^{k}$ by $m^{k}$ and set $= 0$. For distinct real roots: $$y_{c} = C_{1}e^{m_{1}x} + C_{2}e^{m_{2}x}$$

  22. For a constant-coefficient linear ODE, what is the form of the complementary function for repeated real roots $m, m$ and for complex roots $\alpha \pm i\beta$?

    Repeated roots $m$: $y_{c} = (C_{1} + C_{2}x)e^{mx}$. Complex roots $\alpha \pm i\beta$: $y_{c} = e^{\alpha x}(C_{1}\cos\beta x + C_{2}\sin\beta x)$.

  23. How are second-order linear PDEs $A\phi_{xx} + B\phi_{xy} + C\phi_{yy} + \ldots = 0$ classified using the discriminant?

    Using $B^{2} - 4AC$: if $> 0$ hyperbolic (e.g. wave equation); if $= 0$ parabolic (e.g. heat equation); if $< 0$ elliptic (e.g. Laplace equation).

  24. Write the one-dimensional heat (diffusion) equation and the Laplace equation in two dimensions.

    Heat equation: $$\frac{\partial u}{\partial t} = c^{2}\frac{\partial^{2} u}{\partial x^{2}}$$ Laplace equation: $$\frac{\partial^{2} u}{\partial x^{2}} + \frac{\partial^{2} u}{\partial y^{2}} = 0$$

What this deck covers

The Engineering Mathematics deck follows the GATE Marine Engineering Engineering Mathematics syllabus — 14 chapters and 18 topics — so questions land on material that is genuinely examinable rather than trivia around it. That works out to roughly 3.6 cards per chapter.

Answers are written to be recallable, not just readable — averaging about 141 characters, which is long enough to carry the reasoning and short enough to say out loud.

A deck like this earns its keep on the second and third pass. Read the syllabus first so you know the shape of the subject, then use the cards to find the specific facts that have not stuck.

Engineering Mathematics flashcards FAQ

How many Engineering Mathematics flashcards are in this GATE Marine Engineering deck?

51 cards. This page previews 24 of them, sampled evenly across the deck so you can judge the difficulty before installing anything.

Are these GATE Marine Engineering flashcards free?

Yes. The preview here is free to read with no signup, and the full 51-card deck is free inside the Examius app.

What do the Engineering Mathematics cards cover?

They follow the GATE Marine Engineering Engineering Mathematics syllabus — 14 chapters and 18 topics — so the questions track what is actually examinable.

How should I use these flashcards?

Read the syllabus first so you know the shape of the subject, then drill the deck. Examius schedules each card with spaced repetition, so cards you keep missing come back sooner and ones you know drift further apart.