Multiplication of Two Determinants

Multiplication of Two Determinants

Komal MiglaniUpdated on 02 Jul 2025, 06:36 PM IST

In linear algebra, determinant multiplication is a binary operation that produces a determinant from two determinants. For determinant multiplication, the order of both the determinants should be the same. In real life, we use multiplications of determinants to solve problems related to dynamics, equations of motion, etc.

This Story also Contains

  1. Determinant of matrix
  2. Multiplication of Determinant
  3. Property:
  4. Solved Examples Based on Multiplication of Determinant
Multiplication of Two Determinants
Multiplication of Two Determinants

In this article, we will cover the Singular and non-singular matrix. This category falls under the broader category of Matrices, which is a crucial Chapter in class 12 Mathematics. It is not only essential for board exams but also for competitive exams like the Joint Entrance Examination(JEE Main) and other entrance exams such as SRMJEE, BITSAT, WBJEE, BCECE, and more. Over the last ten years in JEE MAINS(2013 TO 2023), a total of one question has been asked on this topic.

Determinant of matrix

The determinant of a matrix A is a number that is calculated from the matrix. For a determinant to exist, matrix A must be a square matrix. The determinant of a matrix is denoted by det A or $|\mathrm{A}|$.

For $2 \times 2$ matrices

$
\mathrm{A}=\left[\begin{array}{ll}
a_1 & a_2 \\
b_1 & b_2
\end{array}\right]
$

then $\operatorname{det} \mathrm{A}$ is :

$
|\mathrm{A}|=\left|\begin{array}{ll}
a_1 & a_2 \\
b_1 & b_2
\end{array}\right|=\mathrm{a}_1 \times \mathrm{b}_2-\mathrm{a}_2 \times \mathrm{b}_1
$

For a $3 \times 3$ matrix determinant can be calculated in the following way :

$
\text { let } \mathrm{A}=\left[\begin{array}{lll}
a_1 & a_2 & a_3 \\
b_1 & b_2 & b_3 \\
c_1 & c_2 & c_3
\end{array}\right]
$

then we find $\operatorname{det} \mathrm{A}$ in following way

$
|A|=a_1\left(b_2 \cdot c_3-b_3 \cdot c_2\right)-a_2\left(b_1 \cdot c_3-c_1 b_3\right)+a_3\left(b_1 c_2-b_2 c_1\right)
$
This same process we follow to evaluate the determinant of the matrix of any order. Notice that we start the first term with the +ve sign then 2nd with the -ve sign and 3rd again with the +ve sign, this sign sequence is followed for any order of matrix.

This whole process is row-dependent, the same process can be done using columns, which means we can select an element along a column delete their row and column compute the determinant of the out matrix, and then multiply it with the element that we select. And we will get the same result as we get while doing the whole process along the row.

Commonly Asked Questions

Q: What's the relationship between determinant multiplication and matrix inverse?
A:
The relationship is seen in the formula A^(-1) = (1/|A|) * adj(A), where A^(-1) is the inverse of matrix A, |A| is its determinant, and adj(A) is its adjoint. This involves both multiplication and division of determinants.
Q: How does the multiplication of determinants relate to the determinant of a product of matrices?
A:
For square matrices A and B, the determinant of their product equals the product of their determinants: det(AB) = det(A) * det(B). This property connects the multiplication of determinants to matrix multiplication.
Q: What happens when you multiply a determinant by its adjoint?
A:
When you multiply a determinant by its adjoint, the result is always a scalar multiple of the identity matrix. Specifically, |A| * adj(A) = |A|I, where |A| is the determinant of A, adj(A) is its adjoint, and I is the identity matrix.
Q: How does multiplying determinants affect linear independence?
A:
Multiplying determinants doesn't directly affect linear independence. However, if the product of determinants is non-zero, it implies that both original sets of vectors (represented by the determinants) were linearly independent.
Q: How does multiplying determinants relate to solving systems of linear equations?
A:
Multiplying determinants can be useful in solving systems of linear equations, particularly when using Cramer's rule. It allows for the combination of multiple transformations or steps in the solution process.

Multiplication of Determinant

There are two types of matrix multiplication :

1) Multiplication of determinant by scalar quantity

2) Multiplication of determinant by another determinant

Multiplication of determinant by scalar quantity

If A is a square matrix and k is a scalar quantity then, $|\mathrm{kA}|=\mathrm{k}^{\mathrm{n}}|\mathrm{A}|$, where n is the order of A

Multiplication of determinant by another determinant

Determinant multiplication is a binary operation that produces a determinant from two determinants. For determinant multiplication, the order of both the determinants should be the same.

$\begin{equation}
\begin{aligned}
&\text { Let two determinants of third-order be }\\
&\Delta_1=\left|\begin{array}{lll}
a_1 & b_1 & c_1 \\
a_2 & b_2 & c_2 \\
a_3 & b_3 & c_3
\end{array}\right| \text { and } \Delta_2=\left|\begin{array}{ccc}
\alpha_1 & \beta_1 & \gamma_1 \\
\alpha_2 & \beta_2 & \gamma_2 \\
\alpha_3 & \beta_3 & \gamma_3
\end{array}\right|
\end{aligned}
\end{equation}$

We can multiply these row-by-row or column-by-column or row-by-column or column-by-row

$\begin{equation}
\begin{aligned}
&\text { Row-by-row multiplication of these two determinants is given by }\\
&\Delta_1 \times \Delta_2=\left|\begin{array}{lll}
a_1 \alpha_1+b_1 \beta_1+c_1 \gamma_1 & a_1 \alpha_2+b_1 \beta_2+c_1 \gamma_2 & a_1 \alpha_3+b_1 \beta_3+c_1 \gamma_3 \\
a_2 \alpha_1+b_2 \beta_1+c_2 \gamma_1 & a_2 \alpha_2+b_2 \beta_2+c_2 \gamma_2 & a_2 \alpha_3+b_2 \beta_3+c_2 \gamma_3 \\
a_3 \alpha_1+b_3 \beta_1+c_3 \gamma_1 & a_3 \alpha_2+b_3 \beta_2+c_3 \gamma_2 & a_3 \alpha_3+b_3 \beta_3+c_3 \gamma_3
\end{array}\right|
\end{aligned}
\end{equation}$

Multiplication can also be performed row by column; column by row or column by column as required in the problem.

To express a determinant as a product of two determinants, one requires lots of practice and this can be done only by inspection and trial.

Commonly Asked Questions

Q: What is the product of two determinants?
A:
The product of two determinants is a new determinant obtained by multiplying the determinants of two square matrices. The resulting determinant has an order equal to the sum of the orders of the original determinants minus 1.
Q: Can determinants of different orders be multiplied?
A:
Yes, determinants of different orders can be multiplied. The resulting determinant's order will be the sum of the orders of the original determinants minus 1. For example, a 2x2 determinant multiplied by a 3x3 determinant will result in a 4x4 determinant.
Q: How does multiplying determinants differ from multiplying matrices?
A:
Multiplying determinants results in a new determinant, while multiplying matrices results in a new matrix. The rules and processes for these operations are different. Matrix multiplication requires matching inner dimensions, while determinant multiplication has no such restriction.
Q: Can you multiply more than two determinants?
A:
Yes, you can multiply more than two determinants. The process can be extended to multiple determinants, with each multiplication increasing the order of the resulting determinant by one less than the order of the new determinant being multiplied.
Q: How does multiplying a determinant by a scalar affect the result?
A:
When you multiply a determinant by a scalar k, it's equivalent to multiplying any row or column of the determinant by k. This results in the entire determinant being multiplied by k.

Property:

If $\mathrm{A}_1, \mathrm{~B}_1, \mathrm{C}_1, \ldots$ are respectively the cofactors of the elements $\mathrm{a}_1, \mathrm{~b}_1, \mathrm{c}_1$ $\qquad$ of the determinant $\Delta=\left|\begin{array}{lll}a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3\end{array}\right|, \Delta \neq 0$, then $\left|\begin{array}{lll}A_1 & B_1 & C_1 \\ A_2 & B_2 & C_2 \\ A_3 & B_3 & C_3\end{array}\right|=\Delta^2$

Proof:

given, $\Delta=\left|\begin{array}{lll}a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3\end{array}\right|$ and, $\mathrm{A}_1, \mathrm{~B}_1, \mathrm{C}_1, \ldots$. are respectively the cofactors of the elements $\mathrm{a}_1, \mathrm{~b}_1, \mathrm{c}_1$ Hence,

$
\begin{aligned}
& \left|\begin{array}{lll}
a_1 & b_1 & c_1 \\
a_2 & b_2 & c_2 \\
a_3 & b_3 & c_3
\end{array}\right|\left|\begin{array}{lll}
A_1 & B_1 & C_1 \\
A_2 & B_2 & C_2 \\
A_3 & B_3 & C_3
\end{array}\right| \\
& =\left|\begin{array}{ccc}
a_1 A_1+b_1 B_1+c_1 C_1 & a_1 A_2+b_1 B_2+c_1 C_2 & a_1 A_3+b_1 B_3+c_1 C_3 \\
a_2 A_1+b_2 B_1+c_2 C_1 & a_2 A_2+b_2 B_2+c_2 C_2 & a_2 A_3+b_2 B_3+c_2 C_3 \\
a_3 A_1+b_3 B_1+c_3 C_1 & a_3 A_2+b_3 B_2+c_3 C_2 & a_3 A_3+b_3 B_3+c_3 C_3
\end{array}\right|
\end{aligned}
$

[row by row multiplication]

$
=\left|\begin{array}{lll}
\Delta & 0 & 0 \\
0 & \Delta & 0 \\
0 & 0 & \Delta
\end{array}\right|=\Delta^3
$
$\begin{equation}
\begin{aligned}
& \because \mathrm{a}_{\mathrm{i}} \mathrm{A}_{\mathrm{j}}+\mathrm{b}_{\mathrm{i}} \mathrm{B}_{\mathrm{j}}+\mathrm{c}_{\mathrm{i}} \mathrm{C}_{\mathrm{j}}=\left\{\begin{array}{cc}
\Delta, & i=j \\
0, & i \neq j
\end{array}\right. \\
& \Rightarrow \Delta\left|\begin{array}{lll}
A_1 & B_1 & C_1 \\
A_2 & B_2 & C_2 \\
A_3 & B_3 & C_3
\end{array}\right|=\Delta^3 \\
& \Rightarrow\left|\begin{array}{lll}
A_1 & B_1 & C_1 \\
A_2 & B_2 & C_2 \\
A_3 & B_3 & C_3
\end{array}\right|=\Delta^2
\end{aligned}
\end{equation}$

Important points

For n-order determinant, $\Delta_c=\Delta^{n-1}$, where $\Delta_c$ is the determinant formed by the cofactors of $\Delta$ and $n$ is the order of determinant. This property is useful in studying the adjoint of a matrix.

Recommended Video Based on Multiplication of Determinant:

Commonly Asked Questions

Q: How does the order of the resulting determinant relate to the orders of the multiplied determinants?
A:
If we multiply a determinant of order m with a determinant of order n, the resulting determinant will have an order of m + n - 1. This relationship is crucial for understanding the dimensionality of the product.
Q: Is the multiplication of determinants commutative?
A:
No, the multiplication of determinants is not commutative. The order in which you multiply the determinants matters, as it affects the resulting determinant's elements and potentially its value.
Q: How does the value of the product determinant relate to the values of the original determinants?
A:
The value of the product determinant is equal to the product of the values of the original determinants. This property is known as the multiplicative property of determinants.
Q: What is the significance of the product of determinants in linear algebra?
A:
The product of determinants is significant in linear algebra as it relates to the composition of linear transformations. It helps in understanding how multiple transformations affect the volume scaling factor in higher dimensions.
Q: What is the geometric interpretation of multiplying determinants?
A:
Geometrically, multiplying determinants represents the composition of volume scaling factors. Each determinant represents a scaling factor for a transformation, and their product gives the overall scaling factor for the combined transformations.

Solved Examples Based on Multiplication of Determinant

Example 1:
If $\alpha, \beta \neq 0$, and $f(n)=\alpha^n+\beta^n$ and $\left|\begin{array}{ccc}3 & 1+f(1) & 1+f(2) \\ 1+f(1) & 1+f(2) & 1+f(3) \\ 1+f(2) & 1+f(3) & 1+f(4)\end{array}\right|$
$=K(1-\alpha)^2(1-\beta)^2(\alpha-\beta)^2$, then K is equal to:


Solution: The given determinant can be written as

$
\left|\begin{array}{ccc}
1+1+1 & 1+\alpha+\beta & 1+\alpha^2+\beta^2 \\
1+\alpha+\beta & 1+\alpha^2+\beta^2 & 1+\alpha^3+\beta^3 \\
1+\alpha^2+\beta^2 & 1+\alpha^3+\beta^3 & 1+\alpha^4+\beta^4
\end{array}\right|
$

Expressing it as a product of two determinants

$
=\left|\begin{array}{ccc}
1 & 1 & 1 \\
1 & \alpha & \beta \\
1 & \alpha^2 & \beta^2
\end{array}\right|\left|\begin{array}{ccc}
1 & 1 & 1 \\
1 & \alpha & \alpha^2 \\
1 & \beta & \beta^2
\end{array}\right|
$

Now we know that each of these determinants equal

$
(1-\alpha)(1-\beta)(\alpha-\beta)
$

Hence, given expression

$
\begin{aligned}
& =(1-\alpha)^2(1-\beta)^2(\alpha-\beta)^2 \\
& \therefore K=1
\end{aligned}
$

Hence, the answer is 1 .


Frequently Asked Questions (FAQs)

Q: How does multiplying determinants relate to the concept of matrix conditioning in numerical analysis?
A:
While not directly related, multiplying determinants that result in values close to zero can indicate potential numerical instability or ill-conditioning in matrix computations, which is an important consideration in numerical analysis.
Q: What's the connection between determinant multiplication and matrix exponentials?
A:
For a square matrix A, det(exp(A)) = exp(tr(A)), where exp is the matrix exponential and tr is the trace. This relates determinant multiplication to matrix exponentials through the trace.
Q: How does multiplying determinants relate to the concept of matrix polynomials?
A:
In matrix polynomials, determinants and their products often appear in the coefficients. Understanding determinant multiplication can help in analyzing and manipulating matrix polynomial equations.
Q: How does multiplying determinants affect the definiteness of a matrix?
A:
The definiteness of a matrix (positive definite, negative definite, etc.) is not directly preserved when multiplying determinants. However, if both original matrices are positive definite, their determinant product will be positive.
Q: What's the connection between determinant multiplication and matrix norms?
A:
While there's no direct connection, some matrix norms (like the determinant norm) are related to the determinant. Multiplying determinants can affect these norms in predictable ways.
Q: Can you multiply determinants of sparse matrices efficiently?
A:
Multiplying determinants of sparse matrices can be done efficiently by leveraging sparsity patterns. Specialized algorithms exist that can perform this operation more quickly than for dense matrices.
Q: How does multiplying determinants affect the Jordan canonical form of a matrix?
A:
The Jordan canonical form is not directly affected by determinant multiplication. However, the product of determinants will equal the product of the diagonal entries in the Jordan form of the resulting matrix.
Q: What's the relationship between determinant multiplication and matrix logarithms?
A:
For non-singular matrices, log(det(A)) = tr(log(A)), where tr is the trace. This connects determinant multiplication (which becomes addition under logarithms) to matrix logarithms.
Q: How does multiplying determinants relate to the concept of matrix decomposition?
A:
In many matrix decompositions, the determinant of the original matrix is the product of the determinants of the component matrices. This property can be useful in analyzing and computing decompositions.
Q: Can you multiply determinants of matrices with symbolic entries?
A:
Yes, you can multiply determinants of matrices with symbolic entries. This is often done in algebraic manipulations and can lead to general formulas applicable to classes of matrices.