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Mathematics & Engineering Fundamentals Flashcards

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

Read the first 7 Mathematics & Engineering Fundamentals flashcards as text
  1. The Laplace transform of f(t) = t·e^(2t) is:

    Answer: 1/(s-2)^2

    Using the shifting theorem, L{t·e^(at)} = 1/(s-a)^2, so with a=2 the result is 1/(s-2)^2.

  2. A matrix A is singular if and only if:

    Answer: det(A) = 0

    A singular matrix has a zero determinant, meaning it has no inverse and its rows/columns are linearly dependent.

  3. Which numerical method has the fastest convergence rate for finding roots?

    Answer: Newton-Raphson

    Newton-Raphson converges quadratically (order 2), making it faster than bisection and false position near the root.

  4. The curl of a conservative vector field F is:

    Answer: Zero everywhere

    A conservative field can be expressed as the gradient of a scalar potential, and the curl of any gradient is identically zero.

  5. For a second-order linear ODE with constant coefficients, if the characteristic equation has repeated real roots r, the general solution is:

    Answer: (C1 + C2·t)·e^(rt)

    Repeated roots require the second independent solution to be multiplied by t to avoid linear dependence.

  6. In probability, if P(A) = 0.4 and P(B) = 0.3 and events A and B are independent, what is P(A ∩ B)?

    Answer: 0.12

    For independent events, P(A ∩ B) = P(A)·P(B) = 0.4 × 0.3 = 0.12.

  7. The Taylor series expansion of e^x about x = 0 truncated after the cubic term is:

    Answer: 1 + x + x²/2 + x³/6

    The Maclaurin series for e^x is Σ(x^n/n!), so the first four terms are 1 + x + x²/2! + x³/3! = 1 + x + x²/2 + x³/6.