Determinant - best way of introducing determinants on a linear algebra course

Click For Summary

Discussion Overview

The discussion revolves around the best methods for introducing the concept of determinants in a linear algebra course, focusing on real-life applications and foundational understanding.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants suggest that explaining the determinant as the signed volume of a parallelepiped helps clarify many of its properties.
  • It is proposed that discussing the historical context of the determinant, particularly its role in determining the solvability of systems of equations, can enhance understanding.
  • One participant emphasizes that the determinant's value is crucial in calculus, particularly in the change of variables formula for multiple integrals, which may be challenging for students unfamiliar with the Jacobian.
  • Another viewpoint mentions that the determinant can be understood through its properties, such as being alternating and multilinear, and that these properties can be illustrated through geometric interpretations.
  • There is a suggestion to consider the dimensionality of the space of matrices, noting that singular matrices have codimension one, implying a relationship to equations that vanish on those matrices.

Areas of Agreement / Disagreement

Participants express various approaches to teaching determinants, with no consensus on a single best method. Multiple competing views on the introduction of determinants remain present.

Contextual Notes

Some limitations include the potential difficulty in conveying the significance of determinants in calculus without prior knowledge of related concepts like the Jacobian, and the need for clear definitions of properties when discussing volume and area in relation to determinants.

matqkks
Messages
283
Reaction score
6
Determinant -- best way of introducing determinants on a linear algebra course

What is the best way of introducing determinants on a linear algebra course? I want to give real life examples of where the determinant is applied.
 
Physics news on Phys.org


Something you absolutely need to do is mention that the determinant is the signed volume of a parallelepiped. That demystifies a lot of properties of the determinants.

Also, be sure to mention the history of the determinant: that it was invented to see when systems of equations have a solution and when not. Showing explicitely that the system

\left\{\begin{array}{ll} ax+by=0\\ cx+dy=0\end{array}\right.

has a unique solution if and only if ad-bc=0 is very illuminating. It makes clear why the determinant was invented in the first place: to generalize this to higher dimensions.
 


If you have a square matrix, then its determinant is equal to the volume of the solid parellelepiped spanned by the column vectors (or the row vectors). That is the most concrete application of the value of the determinant that I know of. Actually, the determinant gives a signed volume which is positive or negative depending on the orientation of the vectors.

Most of the applications in algebra only test whether or not the determinant is 0 or not zero. A nonzero determinant means you can solve some equations as micromass said. But in calculus the actual value matters. For example the change of variables formula for integrals of multiple variables uses determinants in this way. (This would be hard to explain to students who don't know what the Jacobian is)

To prove that it is equal to the volume, you need to show that the volume is alternating, multilinear, and equals 1 for the unit cube (the properties that uniquely characterize the determinant). Obviously the volume of the unit cube is 1. The other two properties are essentially equivalent to Vol= Base*height. Alternatively, in 2 dimensions, you can prove the area formula just by drawing a picture and working it out explicitly.
 


another way to think about it is to convince yourself that in the n^2 dimensional space of all nbyn matrices, the singular ones have codimenson one, so there should be an equations that vanishes exactly on those.
 

Similar threads

  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 26 ·
Replies
26
Views
8K
  • · Replies 23 ·
Replies
23
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 5 ·
Replies
5
Views
4K