Benjamin Felix

And if you do that, this is the outcome.

And then we'll kind of get a feel for how the client responds to that.

But you've quantified that, which I think is really cool.

It's intuition gained from professional experience.

You mentioned the tensors.

I learned a bunch of words from your paper that I hadn't really seen in this context before.

So your paper also talks about curved surfaces, cornered spaces, binding constraints, manifolds and corners.

I'm reading this like, what is happening?

Can you talk about what that stuff means?

What is the shape of financial planning and why does that matter to the understanding the overall system?

Like simple two-dimensional calculus, you can fairly easily do an optimization.

But you're talking about doing optimization over a three-dimensional service that is not smooth.

I mean, that's what you're trying to solve.

We've got this kinky three-dimensional space that's all weird and stuff, and then we're trying to solve it with strategies that exist.

And so you can do that optimization at a point in time, but then as we move through time, the available strategies are going to change and that's going to change the optimization process.

In the mathematical model, what domain objective functions are being optimized over?

Viscosity solutions in financial planning is not something that I would have

Oh, yeah, it makes sense.

Once you've explained it all.

If someone told me that we were going to be talking about viscosity in a financial planning conversation, I was like, what are you talking about?