We need to find the smallest natural number, let's call it $N$, such that when $N$ is divided by 20, 42, or 76, the remainder is always 7.
This can be expressed mathematically as:
This implies that $N - 7$ must be exactly divisible by 20, 42, and 76. Therefore, $N - 7$ must be a common multiple of these three numbers.
To find the smallest such natural number $N$, we need $N - 7$ to be the least common multiple (LCM) of 20, 42, and 76.
First, find the prime factorization of each number:
The LCM is found by taking the highest power of each prime factor present in any factorization:
$\text{LCM}(20, 42, 76) = 2^2 \times 3 \times 5 \times 7 \times 19$
Calculating the value:
$\text{LCM}(20, 42, 76) = 4 \times 3 \times 5 \times 7 \times 19 = 12 \times 5 \times 7 \times 19 = 60 \times 7 \times 19 = 420 \times 19 = 7980$
Now we know that $N - 7 = \text{LCM}(20, 42, 76)$:
$N - 7 = 7980$
Solving for $N$:
$N = 7980 + 7$
$N = 7987$
Thus, the smallest natural number that leaves a remainder of 7 when divided by 20, 42, or 76 is 7987.
Three frictionless pulleys with rope attachment are in a static equilibrium as shown in the figure. The mass $m_1$ and $m_2$, in kg, respectively are

If the in-situ density of coal is 1320 kg/m$^3$ and the density of blasted coal is 952 kg/m$^3$, the swell factor is _____________ (rounded off to 3 decimal places)
A five-member truss system is shown in the figure. The maximum vertical force P in kN that can be applied so that loads on the member CD and BC do NOT exceed 50 kN and 30 kN, respectively is _____________(rounded off to 2 decimal places)
The Fourier transform and its inverse transform are respectively defined as $\tilde{f}(\omega) = \frac{1}{\sqrt{2\pi}} \int_{-\infty}^{+\infty} f(x)e^{i\omega x}dx$ and $f(x) = \frac{1}{\sqrt{2\pi}} \int_{-\infty}^{+\infty} \tilde{f}(\omega)e^{-i\omega x}d\omega$. Consider two functions $f$ and $g$. Another function $f * g$ is defined as
$(f * g)(x) = \frac{1}{\sqrt{2\pi}} \int_{-\infty}^{+\infty} f(y)g(x - y)dy$
Which of the following relation is/are true?
Note: Tilde ($\sim$) denotes the Fourier transform.