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
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.
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.
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.
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.
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.
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.
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.