Mixed Partial and non-partial derivative definition

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SUMMARY

The discussion focuses on the interpretation of the gradient vector of a function f with respect to both partial and non-partial derivatives. The gradient is defined as ∇f = (∂f/∂x)i + (∂f/∂y)j + (∂f/∂z)k, where i, j, and k represent the unit vectors in the x, y, and z directions, respectively. The conversation also suggests that understanding the chain rule is essential when dealing with partial derivatives in conjunction with non-partial derivatives. This foundational knowledge is crucial for correctly interpreting the gradient in multivariable calculus.

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terryphi
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Hi,

I have a derivative that states

grad f(x,y,z) = [die f/dx ; die f/dy; die f/dz]

I'm just wondering how I should interpret this partial derivative with respect to a non partial derivative.
 
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If you're looking to find the gradient vector to some function f of parameters x. y, z.. Try the following equation:

[tex]\nabla f = \frac{\partial f}{\partial x}i + \frac{\partial f}{\partial y}j + \frac{\partial f}{\partial z}k[/tex]

Where the i j k components are the partial derivatives of the function f with respect to the indicated variable.

If this is not what you're referring to you may need to look at the chain rule as it applies to partial derivatives.
 

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