Let $A =\left[ a _{i j}\right], a _{i j} \in Z \cap[0,4], 1 \leq i, j \leq 2$ The number of matrices $A$ such that the sum of all entries is a prime number $p \in(2,13)$ is _____
We are given that the sum of all entries of the matrix \( A \) is a prime number \( p \in \{2, 13\} \). Each element of the matrix \( a_{ij} \) is chosen from the set \( \{0, 1, 2, 3, 4\} \).
Step 1: We begin by considering the possible sums of the matrix entries. Let the sum of all matrix entries be \( a + b + c + d \). We are given that this sum is either 3, 5, 7, or 11.
Step 2: For \( \text{sum} = 3 \), the generating function is: \[ (1 + x + x^2 + \dots + x^4)^4 \rightarrow x^3. \] Simplifying: \[ (1 - x^5)(1 - x) \rightarrow x^3, \] leading to: \[ 4 \times 3 = 20 \quad (\text{for sum 3}). \] Step 3: For \( \text{sum} = 5 \), the generating function becomes: \[ (1 - 4x^5)(1 - x) \rightarrow x^5, \] giving: \[ \text{Total for sum 5} = 52. \] Step 4: For \( \text{sum} = 7 \), we calculate: \[ (1 - 4x^5)(1 - x) \rightarrow x^7, \] leading to: \[ \text{Total for sum 7} = 52. \] Step 5: For \( \text{sum} = 11 \), we compute: \[ (1 - 4x^5 + 6x^{10})(1 - x) \rightarrow x^{11}, \] giving: \[ \text{Total for sum 11} = 52. \] Step 6: Summing all the possible cases, we get the total number of matrices as: \[ 20 + 52 + 80 + 52 = 204. \] Thus, the total number of matrices is \( 204 \).
A settling chamber is used for the removal of discrete particulate matter from air with the following conditions. Horizontal velocity of air = 0.2 m/s; Temperature of air stream = 77°C; Specific gravity of particle to be removed = 2.65; Chamber length = 12 m; Chamber height = 2 m; Viscosity of air at 77°C = 2.1 × 10\(^{-5}\) kg/m·s; Acceleration due to gravity (g) = 9.81 m/s²; Density of air at 77°C = 1.0 kg/m³; Assume the density of water as 1000 kg/m³ and Laminar condition exists in the chamber.
The minimum size of particle that will be removed with 100% efficiency in the settling chamber (in $\mu$m is .......... (round off to one decimal place).
Match the LIST-I with LIST-II for an isothermal process of an ideal gas system. 
Choose the correct answer from the options given below:
Which one of the following graphs accurately represents the plot of partial pressure of CS₂ vs its mole fraction in a mixture of acetone and CS₂ at constant temperature?

A determinant can be defined in many ways for a square matrix.
The first and most simple way is to formulate the determinant by taking into account the top-row elements and the corresponding minors. Take the first element of the top row and multiply it by its minor, then subtract the product of the second element and its minor. Continue to alternately add and subtract the product of each element of the top row with its respective min or until all the elements of the top row have been considered.
For example let us consider a 1×1 matrix A.
A=[a1…….an]
Read More: Properties of Determinants
Second Method to find the determinant:
The second way to define a determinant is to express in terms of the columns of the matrix by expressing an n x n matrix in terms of the column vectors.
Consider the column vectors of matrix A as A = [ a1, a2, a3, …an] where any element aj is a vector of size x.
Then the determinant of matrix A is defined such that
Det [ a1 + a2 …. baj+cv … ax ] = b det (A) + c det [ a1+ a2 + … v … ax ]
Det [ a1 + a2 …. aj aj+1… ax ] = – det [ a1+ a2 + … aj+1 aj … ax ]
Det (I) = 1
Where the scalars are denoted by b and c, a vector of size x is denoted by v, and the identity matrix of size x is denoted by I.
Read More: Minors and Cofactors
We can infer from these equations that the determinant is a linear function of the columns. Further, we observe that the sign of the determinant can be interchanged by interchanging the position of adjacent columns. The identity matrix of the respective unit scalar is mapped by the alternating multi-linear function of the columns. This function is the determinant of the matrix.