Eigenvalue and Eigenvector Calculator
If analyzing matrices gives you a headache, this eigenvalue and eigenvector calculator is the perfect tool for you. It will allow you to find the eigenvalues of a matrix of size 2x2 or 3x3 matrix and will even save you time by finding the eigenvectors as well. In this article, we will provide you with explanations and handy formulas to ensure you understand how this calculator works and how to find eigenvalues and eigenvectors in general.
Let's dive right in!
A 2x2 matrix A has the following form:
where a₁, a₂, b₁ and b₂ are the elements of the matrix. Our eigenvalue and eigenvector calculator uses the form above, so make sure to input the numbers properly - don't mix them up!
Calculating the trace and determinant
In the case of a 2x2 matrix, in order to find the eigenvectors and eigenvalues, it's useful to first get two very special numbers: the trace and the determinant of the array. Lucky for us, the eigenvalue and eigenvector calculator will find them automatically and, if you'd like to see them, click on the
advanced mode button. In case you want to check it gave you the right answer, or simply perform the calculations by hand, follow the steps below:
- Trace: the trace of a matrix is defined as the sum of the elements on the main diagonal (from the upper left to the lower right). It is also equal to the sum of the eigenvalues (counted with their multiplicities). In the case of a 2x2 matrix,
tr(A) = a₁ + b₂
- Determinant: the determinant of a matrix is useful in multiple further operations - for example, finding the inverse of a matrix. For a 2x2 matrix,
|A| = a₁b₂ - a₂b₁
How to find eigenvalues
Each 2x2 matrix A has two eigenvalues: λ₁ and λ₂. These are defined as numbers that fulfill the following condition for a nonzero column vector v = (v₁, v₂), which we call an eigenvector:
A * v = λ * v
You can also find another, equivalent version of the equation above:
(A - λI)v = 0
where I is the 2x2 identity matrix.
Knowing the trace and determinant, it is a trivial task to find the eigenvalues of a matrix - all you have to do is input these values into the following equations:
λ₁ = tr(A)/2 + √((tr(A)²/4 - |A|)
λ₂ = tr(A)/2 - √(tr(A)²/4 - |A|)
Some matrices have only one eigenvalue. Examples of such arrays include matrices of the form:
Make sure to experiment with our calculator to see which matrices have only one eigenvalue!
Eigenvalue and eigenvector calculator - 2x2 matrices
Our calculator can also be used for finding eigenvectors. In essence, learning how to find eigenvectors boils down to directly solving the equation
(q - λI)v = 0
Note, that if a matrix has only one eigenvalue, it can still have multiple eigenvectors corresponding to it. For instance, the identity matrix:
has only one (double) eigenvalue
λ = 1, but two eigenvectors:
v₁ = (1,0) and
v₂ = (0,1).
Remember, that if a vector v is an eigenvector, then the same vector multiplied by a scalar is also an eigenvector of the same matrix. If you would like to simplify the solution provided by our calculator, head to the unit vector calculator.
How to find eigenvalues and eigenvectors of 3x3 matrices
Let's now try to translate all this into the language of 3x3 matrices. First of all, let's see an example of such an object:
where for us the entries a₁, a₂, up to c₃ are real numbers.
In general, most of the definitions from above are the same for 3x3 matrices. For instance, the trace is the sum of the cells on the main diagonal, i.e.,
tr(A) = a₁ + b₂ + c₃.
However, the determinant is now a more complicated manner:
|A| = a₁*b₂*c₃ + a₂*b₃*c₁ + a₃*b₁*c₂ - a₃*b₂*c₁ - a₂*b₁*c₃ - a₁*b₃*c₂.
Now, when it comes to how to find eigenvectors and eigenvalues, the definition is again the same: they are the numbers
λ and vectors
v that satisfy the matrix equation
A * v = λ * v,
where the multiplication on the left is matrix multiplication. However, the trick is that this time the equation is far more complicated. In particular, the formulas from above don't work here.
In the case of 2x2 matrices, it all boils down to the quadratic formula. However, when the arrays are of size 3x3, we obtain a cubic equation, i.e., an equation with the variable to the third power. And such things are not so easy to calculate.
Fortunately, we have the eigenvalue and eigenvector calculator that can hide all these ugly formulas and effortlessly give us a pretty answer.
But is the answer always a pretty one?
Complex eigenvalues and eigenvectors
Quadratic and cubic equations sometimes have no real solutions. This means that there is no real number (the kind of number that we learnt when we were little kids) that satisfies this formula. Therefore, in the field of real numbers, it's not always possible to find the eigenvalues of a matrix. However, in mathematics, there is an extension in which that can never happen: every equation has as many solutions (counted with their multiplicities) as its degree.
Complex numbers, formally speaking, are pairs of real numbers. The first of the pair is called the real part, and the second the imaginary part (yup, that's exactly what professional mathematicians called it). The second one has the mysterious number
i, which we define as the square root of
(-1). They told us at school that such things don't exist, didn't they? Well, they do, but they're imaginary.
For us, this means that the calculator will always know how to find the eigenvectors and eigenvalues of a matrix. Once it does that, it's crucial to know if the problem you're solving uses complex numbers or just the real ones. Just to be on the safe side, our eigenvalue and eigenvector calculator will show you all the values and their corresponding eigenvectors, be they real or complex. However, if you only need the real ones, feel free to ignore all that have an
i in them. Just keep in mind that they do exist, even though they're imaginary.