Mathematics

Derivatives

Suppose we have a function as follows f(x,h)f(x,h), where h(x)h(x) is also a function of xx.

Type of derivative Notation Meaning
Total derivative df(x,h)dxdf(x,h)dx How much ff changes when we vary the variable xx
Partial derivative f(x,h)xf(x,h)x How much ff changes when we vary the argument of ff labeled xx
Constrained derivative (df(x,h)dx)h(df(x,h)dx)h How much ff changes when we vary the variable xx with the constraint that hh is held constant.

The total derivative can be written in terms of partial derivatives using the chain rule.

df(x,h)dx=f(x,h)x+f(x,h)hh(x)xdf(x,h)dx=f(x,h)x+f(x,h)hh(x)x

Suppose we have a different function g(x,y)g(x,y), where x(t)x(t) and y(t)y(t) both are dependant on tt. Then

dg(x,y)dt=gxx(t)t+gyy(t)tdg(x,y)dt=gxx(t)t+gyy(t)t

But g(x,y)tg(x,y)t is meaningless because f does not have an argument labeled t.

Sometimes the constrained derivative is the same as a partial derivative. For example,

(df(x,h)dx)h=f(x,h)x

But another function a(x,y,z)

(da(x,y,z)dx)y=a(x,y,z)x+a(x,y,z)zzx