Characteristic Polynomial Calculator
With the help of our characteristic polynomial calculator, you can quickly determine the characteristic polynomial of a 2×2, 3×3, or 4×4 matrix.
Do you want to learn how to find the characteristic polynomial? Keep reading, as we first recall what a characteristic polynomial is and then give the formulas as well as examples. In particular, there is a detailed explanation of how to find the characteristic polynomial of a 3x3 matrix.
If you're working with matrices, you might also find our eigenvalue and eigenvector calculator useful.
What is a characteristic polynomial?
We define the characteristic polynomial,
p(λ), of a square matrix,
A, of size
n × n as:
p(λ):= det(A - λI)
Iis the identity matrix of the size
n × n(the same size as
detis the determinant of a matrix.
Keep in mind that some authors define the characteristic polynomial as
det(λI - A). We can obtain that polynomial from the one that we defined above by multiplying it by
(-1)ⁿ. Hence, those polynomials coincide if
n is even. If
n is odd, you can go from one polynomial to the other by changing all their coefficients to opposite numbers (i.e., changing all of their signs). However, as long as we are concerned with the roots (i.e., the eigenvalues of
A), it doesn't matter which definition you use.
As you now know what a characteristic polynomial is, why not look at some examples of how to find the characteristic polynomial?
How to use this characteristic polynomial calculator?
You don't need to be a math expert to use the characteristic polynomial calculator. Just follow steps below:
- Tell us the size of the matrix for which you want to find the characteristic polynomial.
- Enter all the coefficients of your matrix - row by row.
- Our characteristic polynomial calculator works as fast as lightning - the characteristic polynomial of your matrix appears at the bottom! ⚡
- Should you want to use the alternative definition of a characteristic polynomial, go to the
Characteristic polynomial of a 2×2 matrix
The determinant of
is equal to
(a - λ)(d - λ) - bc = λ² - (a + d)λ + (ad - bc)
This is because, to find the determinant of a 2×2 matrix, you need to multiply the elements from its upper-left and bottom-right corners and subtract the product of coefficients from the upper-right and bottom-left corners.
Observe that we can write the characteristic polynomial of a 2×2 matrix
λ² − tr(A)λ + det(A),
tr(A)is the trace of
A, i.e., the sum of the diagonal elements of
Let us take a look at an example. We will find the characteristic polynomial of the following matrix:
As we explained in the, we need to calculate the determinant of
(2-λ)(3-λ) - 3 * 4 = λ² - 5λ - 6
Alternatively, we might have computed
tr(A) = 2 + 3 = 5 and
det(A) = 2 * 3 - 3 * 4 = -6.
Characteristic polynomial of a 3x3 matrix
Before we give you the general formula, let's solve an example.
We will find the characteristic polynomial of
We need to calculate the determinant of
||||1||3 - λ||-1||||
|⌊||2||0||2 - λ||⌋|
With the help of the, we obtain:
-λ(3 - λ)(2 - λ) + 1*0*1 + 2*2*(-1) - 1*(3 - λ)*2 - (-1)*0*(-λ) - (2 - λ)*2*1
which simplifies to:
-λ³ + 5λ² - 2λ - 14
In general, the characteristic polynomial of a 3x3 matrix:
-λ³ + (a₁ + b₂ + c₃)λ² - (a₁b₂ - a₂b₁ + a₁c₃ - a₃c₁ + b₂c₃ - b₃c₂)λ + (a₁b₂c₃ - a₂b₃c₁ + a₃b₁c₂ - a₃b₂c₁ - a₁b₃c₂ - a₂b₁c₃)
We see that the coefficient of
λ² is just
tr(A), and the intercept equals
det(A). Moreover, the coefficient of
λ is the sum of all of the 2x2 principal minors of
A. This is a part of the general rule, as we will explain in the next section.
How to find the characteristic polynomial of larger matrices?
In general, the characteristic polynomial of an
n x n matrix
A has the form:
(-1)ⁿλⁿ + (-1)ⁿ⁻¹*S₁*λⁿ⁻¹ + ... + (-1)ᵏ*Sₙ₋ₖ*λᵏ + ... + Sₙ
Skis the sum of all
k x kof
k = 0, ..., n. In particular,
S₁ = tr(A)and
Sₙ = det(A).
As you can see, it can be quite tedious to compute the characteristic polynomial by hand. That's why we've created this characteristic polynomial calculator! 😎
Properties of the characteristic polynomial of a matrix
Here are some useful properties of the characteristic polynomial of a matrix:
The degree of an eigenvalue of a matrix as a root of the characteristic polynomial is called the algebraic multiplicity of this eigenvalue.
Aand its transpose
Aᵀhave the same characteristic polynomial:
det(A - λI) = det(Aᵀ - λI)
If two matrices are similar, then they have the same characteristic polynomial. However, the opposite is not true: two matrices with the same characteristic polynomial need not be similar!
Example: The following two matrices both have the characteristic polynomial equal to
(λ - 2)²but they are not similar since the right one is diagonalizable and the left one is not:
⌈ 2 1 ⌉ ⌊ 0 2 ⌋ ⌈ 2 0 ⌉ ⌊ 0 2 ⌋
The Cayley–Hamilton theorem says that every matrix satisfies its own characteristic equation. More precisely: replacing
Ain the characteristic polynomial, we obtain the zero matrix (the intercept gets multiplied by the identity matrix).
We know that
λ² - 5λ - 6is the characteristic polynomial of
⌈ 2 3 ⌉ ⌊ 4 3 ⌋
It follows that
A²is equal to
⌈ 16 15 ⌉ ⌊ 20 21 ⌋
5Ais equal to
⌈ 10 15 ⌉ ⌊ 20 15 ⌋
A² - 5Ais equal to
⌈ 6 0 ⌉ ⌊ 0 6 ⌋
6I, and so
A² - 5A - 6Iis indeed the zero matrix.