Higher order partial derivatives
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Intros
Lessons
- High Order Partial Derivatives Overview:
- 2nd Order Partial Derivatives
- 4 types of 2nd order partial derivatives
- fxx,fxy,fyy,fyx
- An example
- Higher Order Partial Derivatives
- Can go higher than 2nd order
- fxxx,fxxy,fxxxxx
- An example
- Clairaut's Theorem
- Two of the 2nd order partial derivatives are equal!
- fxy(a,b)=fyx(a,b)
- An example to show they are equal
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Examples
Lessons
- Finding 2nd Order Partial Derivatives
Find all the second order derivatives for the following functionf(x,y)=x3y−4xy3+ln(x2)
- Find fxx and fxy for the following function
f(x,y)=ex2y3−sin(x2+y3)
- Finding Higher Order Partial Derivatives
Given w=est+sin(s2), find wssstt - Given f(x,y,z)=4(xyz)3, find dy2dx2d4f
- Verifying Clairaut's Theorem
Verify Clairaut's Theorem for the given functionu(x,y)=ln(x2−y)
- Verify Clairaut's Theorem for the given function
f(x,y)=xtanyx+exy+x5
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Topic Notes
Notes:
2nd Order Partial Derivatives
Since we can have higher order derivatives on a one variable function, we can also have this for multi-variable functions. We will specifically look at 2nd order partial derivatives here. For 2nd order partial derivatives, there are 4 types:
fxx→ derivative in respect to x 2 times
fyy→ derivative in respect to y 2 times
fxy→ derivative in respect to x first, and then respect to y
fyx→ derivative in respect to y first, and then respect to x
Higher Order Partial Derivatives
Of course, we can have even higher order partial derivatives. For example, we can have:
Clairaut's Theorem Suppose that f is defined on a disk D that contains the point (a,b). If the functions fxy and fyx are continuous on this disk, then
2nd Order Partial Derivatives
Since we can have higher order derivatives on a one variable function, we can also have this for multi-variable functions. We will specifically look at 2nd order partial derivatives here. For 2nd order partial derivatives, there are 4 types:
fxx=dxd(dxdf)=dx2d2f
fxy=dyd(dxdf)=dydxd2f
fyy=dyd(dydf)=dy2d2f
fyx=dxd(dydf)=dxdyd2f
fxx→ derivative in respect to x 2 times
fyy→ derivative in respect to y 2 times
fxy→ derivative in respect to x first, and then respect to y
fyx→ derivative in respect to y first, and then respect to x
Higher Order Partial Derivatives
Of course, we can have even higher order partial derivatives. For example, we can have:
fxxx=dxd(dx2d2f)=dx3d3f
fxxy=dyd(dx2d2f)=dydx2d3f
fxxxxx=dxd(dx4d4f)=dx5d5f
Clairaut's Theorem Suppose that f is defined on a disk D that contains the point (a,b). If the functions fxy and fyx are continuous on this disk, then
fxy(a,b)=fyx(a,b)
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