Classification of PDEs: Understanding and Solving for Unique Solutions

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The discussion revolves around the challenges of classifying a specific partial differential equation (PDE) and understanding its characteristics. The poster is struggling with the notation and concepts, particularly in transitioning to matrix form for classification. They reference a textbook by William Ames but find it difficult to comprehend. The key task is to determine conditions under which knowledge of certain derivatives uniquely defines others, which is essential for classifying the PDE. The poster seeks a clearer explanation to overcome their confusion and successfully complete their exercises.
Adyssa
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Homework Statement



I'm doing a course on numerical solutions of PDE and I am waaaay out of my depth, having not covered differential equations previously. I spoke to my lecturer about this and he said I would be fine as the course is on FDM/FEM and not analytic solutions but this is week 4 and I am utterly lost. Before I throw in the towel, I would like to bang my head against it for a while longer and see if I can figure a few things out. This is my first hurdle - classification of PDEs. I have a set of exercises to work on for a test this week, and here is one of the questions ...

Homework Equations



Classify the PDE:

tu_{xx} - (t-x)u_{xt} = xu_{tt} + u^{2}_{t}

and if possible find the equations of the characteristic curves.

The Attempt at a Solution



For a start, I find the notation confusing, but I think u_{xx} is equivalent to \frac{du^{2}}{d^{2}x}

With that out of the way, I have a reference text in Numerical Methods for PDE by William Ames which I understand to be canonical, but I'm finding it really hard to follow, so I'm hoping somebody could explain it more simply for me.

I need to find "conditions under which a knowledge of u, u_{x} and u_{t} serve to determine u_{xx}, u_{xt} and u_{tt} uniquely so the equation is satisfied" - to paraphrase the Ames text, and then put them in matrix form so I can find the determinant, and if it's not equal to zero then I can use the the discriminant of the quadratic formula to classify the PDE. I think if I can get this thing into matrix form I will be ok from there, but this first part is killing me! I understand there is the notion of a directional derivative involved in forming the equations that are then put into matrix form but I don't grasp it.

Sorry to be vague! I really want to understand this but my brain just doesn't want to!
 
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