Intuitive explanation for the general determinant formula?

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SUMMARY

The determinant of an n-by-n matrix can be intuitively understood as a measure of signed volume, representing the area of a parallelogram in 2D or the volume of a parallelepiped in 3D. The general formula for the determinant is expressed as \det(a_{ij}) = \sum_{\sigma \in S_n} \mathrm{sgn}(\sigma)a_{1\sigma(1)} \cdots a_{n\sigma(n)}, which can be derived from its definition as a unique alternating multilinear functional. This functional satisfies \det(I) = 1, reinforcing its geometric interpretation. For deeper understanding, one can explore how determinants relate to transformations and integration in higher dimensions.

PREREQUISITES
  • Understanding of linear algebra concepts, particularly matrices and vectors.
  • Familiarity with the properties of determinants, including multilinearity and alternation.
  • Basic knowledge of geometric interpretations of linear transformations.
  • Experience with mathematical notation and functions in \mathbb{R}^n.
NEXT STEPS
  • Study the geometric interpretation of determinants in 2D and 3D, focusing on area and volume transformations.
  • Learn about the properties of multilinear functions and how they relate to determinants.
  • Explore the application of determinants in integration, particularly in changing variables.
  • Read "A Geometric Approach to Differential Forms" by David Bachmann for further insights into geometric intuition.
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, geometry, and calculus, will benefit from this discussion. It is also valuable for educators seeking to explain the concept of determinants in an intuitive manner.

jjepsuomi
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Hello

Could anyone give an intuitive explanation of the determinant? I know mostly what the determinant means and I can calculate it etc. But I have never got any real-world intuitive explanation of the general formula of the determinant?

How is the formula derived? Where does it come from? What I'm essentially asking is: Prove the general formula for calculating the determinant of an n-by-n matrix and explain the meaning of it

Any support = Thank you so much! =)
 
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Often the determinant is just defined by the formula:
\det(a_{ij}) = \sum_{\sigma \in S_n} \mathrm{sgn}(\sigma)a_{1\sigma(1)} \cdots a_{n\sigma(n)}
On the other hand, if you define the determinant as the unique alternating multilinear functional \det:\mathbb{R}^n \times \cdots \times \mathbb{R}^n \rightarrow \mathbb{R} (where the product is taken n-times) satisfying \det(I) = 1, then you can recover the formula above for the determinant.

Edit: I suppose this is not really an intuitive explanation, but hopefully it helps a little.
 
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A nice and intuitive explanation of the determinant is that it just represents a signed volume.

For example, given the vectors (a,b) and (c,d) in \mathbb{R}^2. Then we can look at the parallelogram formed by (0,0), (a,b), (c,d) and (a+c,b+d). The area of this parallellogram is given by the absolute value of

det \left(\begin{array}{cc} a & b\\ c & d \end{array}\right)

Of course the determinant has a sign as well. This is why we call the determinant the signed volume. That is: if we exchange (a,b) and (c,d), then we get the opposite area. The sign is useful for determining orientation.
 
welcome to pf!

hello jjepsuomi! welcome to pf! :smile:

i suggest you start in 2D and 3D by considering how the determinant relates the the area of a rectangle to the area of the transformed parallelogram or the volume of a cube to the volume of the transformed parallelepiped,

and then how you'd apply that in n dimensions, and how it affects integration after a transformation :wink:
 
saying it is an oriented volume measure implies it should be a multilinear and alternating function. these properties force the formula to be what it is, if you assume the value is 1 on a unit cube. determinants are developed in complete detail starting on p. 62 of these notes.

http://www.math.uga.edu/%7Eroy/4050sum08.pdffor geometric intuition you might look at the book by david bachmann on geometric approach to differential forms.

https://www.amazon.com/dp/0817683038/?tag=pfamazon01-20
 
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