Determinant Property: Seen it Before? True?

In summary, the conversation discusses the properties of the determinant function, including its linearity and multilinearity, as well as its unique properties that determine its existence. A link is also provided for further reading and proof of the determinant function's uniqueness.
  • #1
Dustinsfl
2,281
5
Has anyone seen this before? Is this true?
$$
\begin{vmatrix}
a & b+c & 1\\
b & a+c & 1\\
c & a+b & 1
\end{vmatrix} =
\begin{vmatrix}
a & b & 1\\
b & a & 1\\
c & a & 1
\end{vmatrix} +
\begin{vmatrix}
a & c & 1\\
b & c & 1\\
c & b & 1
\end{vmatrix}
$$
In this example this works but I don't know if this just a coincidence.
 
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  • #2
Well, determinants are linear w.r.t. addition in any single row or column. (Wink)
 
  • #3
Determinants are multilinear, alternating functions of row or column vectors. If one adds the stipulation that:

$\det(I_n) = 1$

then these properties completely determine the determinant function.

Clearly one such function (the determinant function) with these properties exists. For a proof that the determinant function is the ONLY function with these properties, see:

http://www.millersville.edu/~bikenaga/linear-algebra/det-unique/det-unique.html
 

FAQ: Determinant Property: Seen it Before? True?

What is the determinant property?

The determinant property is a mathematical concept that applies to matrices. It is the value obtained by performing a certain operation on a square matrix, resulting in a single number. The determinant value is used in various mathematical calculations and has important applications in fields such as physics, engineering, and economics.

How is the determinant property calculated?

The determinant property is calculated by multiplying the elements in a specific pattern within the matrix and then adding or subtracting these products based on their position. The exact method for calculating the determinant depends on the size of the matrix, but generally involves a combination of multiplication and addition/subtraction.

What is the significance of the determinant property?

The determinant property has several important applications in mathematics and other fields. In linear algebra, it is used to determine whether a matrix is invertible, and to find the inverse of a matrix. In physics, it is used in the calculation of moments of inertia and in solving systems of linear equations. In economics, it is used in input-output analysis and in finding equilibrium prices.

Can the determinant property be seen in real-world scenarios?

Yes, the determinant property has many real-world applications. For example, it can be used to determine the stability of a physical system, such as a bridge or building, by calculating the eigenvalues of the system's matrix. It is also used in computer graphics to transform and manipulate images, and in machine learning for feature selection and dimensionality reduction.

Is the determinant property always seen before in mathematics?

Not necessarily. The determinant property is often introduced in linear algebra courses, but it can also be encountered in other areas of mathematics, such as calculus and differential equations. It is also possible for someone to encounter the concept in a real-world scenario before learning about it in a formal setting, such as in physics or engineering applications.

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