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Engineering Mathematics & Analytical Skills Flashcards

9 cards from real GATE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. What is the derivative of sin(x)?

    Answer: cos(x)

    In calculus, the derivative of a function represents its instantaneous rate of change. For the fundamental trigonometric function sin(x), its derivative is cos(x). This is a standard and essential differentiation rule that forms the basis for solving many problems in physics, engineering, and mathematics.

  2. Which matrix operation results in a change in the determinant's sign?

    Answer: Swapping two rows

    When two rows (or columns) of a matrix are swapped, the determinant of the resulting matrix changes its sign. For instance, if the original determinant was D, performing a single row swap will yield a new determinant of -D. This is a fundamental property of determinants in linear algebra, crucial for understanding matrix transformations.

  3. What is the Laplace transform of 1?

    Answer: 1/s

    The Laplace transform is an integral transform that converts a function of a real variable (often time, t) into a function of a complex variable (frequency, s). For the constant function f(t) = 1, its Laplace transform is 1/s. This is a fundamental result used extensively in solving linear differential equations and analyzing systems in engineering.

  4. If A is an invertible matrix, what is the determinant of A inverse?

    Answer: 1/det(A)

    For any invertible square matrix A, a fundamental property in linear algebra states that the determinant of its inverse, denoted as det(A⁻¹), is equal to the reciprocal of the determinant of the original matrix A. This relationship, det(A⁻¹) = 1/det(A), is crucial for calculations involving matrix inverses and understanding their properties.

  5. Which of the following is a second-order differential equation?

    Answer: d²y/dx² = 3x

    The order of a differential equation is determined by the highest derivative present in the equation. In the equation d²y/dx² = 3x, the highest derivative is the second derivative (d²y/dx²). Therefore, this equation is classified as a second-order differential equation.

  6. What is the probability of getting a sum of 7 when two dice are thrown?

    Answer: 1/6

    When two fair dice are thrown, there are 36 possible outcomes (6 sides on each die, so 6x6). The combinations that sum to 7 are (1,6), (2,5), (3,4), (4,3), (5,2), and (6,1), which totals 6 favorable outcomes. Therefore, the probability of getting a sum of 7 is 6/36, which simplifies to 1/6.

  7. Which numerical method is used for solving ordinary differential equations?

    Answer: Runge-Kutta method

    The Runge-Kutta method is a family of iterative numerical methods widely used to approximate solutions of ordinary differential equations (ODEs) with a given initial value. It is particularly valued for its accuracy and stability, making it a cornerstone in computational mathematics and engineering for modeling dynamic systems.

  8. What is the general solution of a homogeneous linear differential equation?

    Answer: Sum of complementary function and particular solution

    The general solution of a linear differential equation, whether homogeneous or non-homogeneous, is composed of two parts: the complementary function and a particular solution. The complementary function solves the associated homogeneous equation, while the particular solution addresses the non-homogeneous part. For a strictly homogeneous equation, the particular solution is typically zero, making the complementary function the complete solution.

  9. In probability, what does a cumulative distribution function (CDF) represent?

    Answer: Cumulative probability up to a value

    In probability theory, a cumulative distribution function (CDF) represents the probability that a random variable X will take a value less than or equal to a specific value x. It essentially accumulates the probabilities from the lowest possible value up to x. The CDF provides a comprehensive view of the probability distribution, showing the likelihood of observing values within a certain range.