Supposed to be a Jacobian - What is wrong?

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In summary, the conversation was about a Jacobian matrix not displaying and causing an error. The actual Latex code was provided and it was determined that there was a missing backslash at the end of the code. After adding the backslash, the matrix was able to display properly.
  • #1
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Can someone help ... the following is supposed to be a Jacobian matrix ...= \(\displaystyle \begin{pmatrix} \frac{ \partial F_1}{ \partial x_1} & \frac{ \partial F_1}{ \partial x_2} \\ \frac{ \partial F_2}{ \partial x_1} & \frac{ \partial F_2}{ \partial x_2} \\ \frac{ \partial F_3}{ \partial x_1} & \frac{ \partial F_3}{ \partial x_2} \end{pmatrix} \)
But it won't display ... comes up with an error ...

Actual Latex code is as follows:\begin{pmatrix} \frac{ \partial F_1}{ \partial x_1} & \frac{ \partial F_1}{ \partial x_2} \\ \frac{ \partial F_2}{ \partial x_1} & \frac{ \partial F_2}{ \partial x_2} \\ \frac{ \partial F_3}{ \partial x_1} & \frac{ \partial F_3}{ \partial x_2} end{pmatrix}
Can someone please diagnose what is wrong ...

Help will be appreciated,

Peter
 
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  • #2
Peter said:
Can someone help ... the following is supposed to be a Jacobian matrix ...= \(\displaystyle \begin{pmatrix} \frac{ \partial F_1}{ \partial x_1} & \frac{ \partial F_1}{ \partial x_2} \\ \frac{ \partial F_2}{ \partial x_1} & \frac{ \partial F_2}{ \partial x_2} \\ \frac{ \partial F_3}{ \partial x_1} & \frac{ \partial F_3}{ \partial x_2} end{pmatrix} \)
But it won't display ... comes up with an error ...

Actual Latex code is as follows:\begin{pmatrix} \frac{ \partial F_1}{ \partial x_1} & \frac{ \partial F_1}{ \partial x_2} \\ \frac{ \partial F_2}{ \partial x_1} & \frac{ \partial F_2}{ \partial x_2} \\ \frac{ \partial F_3}{ \partial x_1} & \frac{ \partial F_3}{ \partial x_2} end{pmatrix}
Can someone please diagnose what is wrong ...

Help will be appreciated,

Peter
You need a backslash towards the end:

\begin{pmatrix} \frac{ \partial F_1}{ \partial x_1} & \frac{ \partial F_1}{ \partial x_2} \\ \frac{ \partial F_2}{ \partial x_1} & \frac{ \partial F_2}{ \partial x_2} \\ \frac{ \partial F_3}{ \partial x_1} & \frac{ \partial F_3}{ \partial x_2} end{pmatrix}

\(\displaystyle \begin{pmatrix} \frac{ \partial F_1}{ \partial x_1} & \frac{ \partial F_1}{ \partial x_2} \\ \frac{ \partial F_2}{ \partial x_1} & \frac{ \partial F_2}{ \partial x_2} \\ \frac{ \partial F_3}{ \partial x_1} & \frac{ \partial F_3}{ \partial x_2} \end{pmatrix}\)
 
  • #3
The ending tag wasn't escaped...I edited your post to do so. :)
 

FAQ: Supposed to be a Jacobian - What is wrong?

What is a Jacobian?

A Jacobian is a mathematical concept used in multivariate calculus and differential geometry. It represents the derivative of one set of variables with respect to another set of variables. In other words, it measures how much a set of variables changes when another set of variables changes.

Why is it important in science?

The Jacobian is important in science because it helps us understand the relationship between different variables in a system. It is used in various fields such as physics, engineering, and biology to analyze and model complex systems.

What does it mean for a Jacobian to be "supposed to be"?

In mathematics, the term "supposed to be" implies that there is a certain expectation or assumption about a particular concept. In the case of a Jacobian, it means that there is an expected mathematical relationship between the variables that is not being met.

How can a Jacobian be wrong?

A Jacobian can be wrong if the mathematical relationship between the variables is not accurately represented. This can happen due to errors in data, incorrect assumptions, or incorrect calculations. It can also be wrong if the system being analyzed is too complex and cannot be accurately modeled using a Jacobian.

How can we fix a Jacobian that is wrong?

To fix a Jacobian that is wrong, we need to identify the source of the error and make corrections accordingly. This may involve re-evaluating data, adjusting assumptions, or using a different mathematical approach. It is important to carefully analyze the system and the variables involved to ensure an accurate representation of the relationship between them.

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