Discovering the Meaning of a Jacobian in Multivariable Functions

In summary, a jacobian is a mathematical concept that represents the relationship between two sets of multivariable functions. It is used to find the area of a parallelogram formed by two vectors in R² and is essential in changing between coordinate systems. In cartesian coordinates, the area of a rectangle is given by dxdy, but in other coordinate systems, it is calculated as |J|dudv, where J is the jacobian determinant. The jacobian can be further understood through visual explanations in calculus textbooks, such as Stewart's book.
  • #1
chaoseverlasting
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What does a jacobian mean? I know what it IS, as in, if given a set of multivariable functions, I can find out the jacobian, but what does it MEAN?

And why do we use it to change between coordinate systems (cartesian-> polar =|jacobian of polar|* function in polar coordinates)?
 
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  • #2
The short answer is that when you take 2 vectors of R² and compute the determinant of the matrix whose lines or columns are the components of these vectors, you get the area of the parallelogram spanned by these 2 vectors.

In cartesian coordinates, the area of a little rectangle R is dxdy. It turns out that for a change of coordinates (x,y)<-->(u,v), then the area of the rectangle R in the new coordinates u,v is |J|dudv, where J is the jacobian determinant.

I recommend the calculus book by Stewart, where this is explained in many drawings with colours and excellent explanations.
 

FAQ: Discovering the Meaning of a Jacobian in Multivariable Functions

What is a Jacobian?

A Jacobian is a mathematical concept used in multivariable calculus and linear algebra. It represents the derivative of a vector-valued function with respect to its input variables.

Why is the Jacobian important?

The Jacobian is important because it allows us to study the behavior of a vector-valued function near a specific point. It also helps us to calculate the change in a function's output when its input variables change.

How is the Jacobian calculated?

The Jacobian is calculated by taking the partial derivatives of each component of the vector-valued function with respect to each input variable and arranging them into a matrix. This matrix is known as the Jacobian matrix.

What does the Jacobian tell us about a function?

The Jacobian can tell us several things about a function, such as whether it is invertible at a particular point, the rate of change of the function at that point, and the direction of the function's gradient at that point.

In what fields is the Jacobian commonly used?

The Jacobian is commonly used in fields such as physics, engineering, economics, and computer science. It is particularly useful in optimization problems and in the study of systems with multiple variables.

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