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MATH 38Mathematical Analysis III
I. F. Evidente
IMSP (UPLB)
Outline
1 Implicit Differentiation
2 The Chain Rule
3 Differentiability
4 The Total Differential
Figures taken from: J. Stewart, The Calculus: Early Transcendentals,Brooks/Cole, 6th Edition, 2008.
Outline
1 Implicit Differentiation
2 The Chain Rule
3 Differentiability
4 The Total Differential
Let z be a function in x and y defined implicitly by the equationF (x, y,z)=C , where C R.
ExampleWhat two functions are defined implicitly by x2+ y2+ z2 = 1?
z =1x2 y2
Two functions:
z =1x2 y2 and z =
1x2 y2
Let z be a function in x and y defined implicitly by the equationF (x, y,z)=C , where C R.
ExampleWhat two functions are defined implicitly by x2+ y2+ z2 = 1?
z =1x2 y2
Two functions:
z =1x2 y2 and z =
1x2 y2
Let z be a function in x and y defined implicitly by the equationF (x, y,z)=C , where C R.
ExampleWhat two functions are defined implicitly by x2+ y2+ z2 = 1?
z =1x2 y2
Two functions:
z =1x2 y2 and z =
1x2 y2
Let z be a function in x and y defined implicitly by the equationF (x, y,z)=C , where C R.
ExampleWhat two functions are defined implicitly by x2+ y2+ z2 = 1?
z =1x2 y2
Two functions:
z =1x2 y2 and z =
1x2 y2
ExampleTwo functions defined implicitly by x2+ y2+ z2 = 1:
z =1x2 y2 and z =
1x2 y2
Partial derivatives with respect to x:For z =
1x2 y2:
z
x= x
1x2 y2
For z =1x2 y2:
z
x= x
1x2 y2
ExampleTwo functions defined implicitly by x2+ y2+ z2 = 1:
z =1x2 y2 and z =
1x2 y2
Partial derivatives with respect to x:
For z =1x2 y2:
z
x= x
1x2 y2
For z =1x2 y2:
z
x= x
1x2 y2
ExampleTwo functions defined implicitly by x2+ y2+ z2 = 1:
z =1x2 y2 and z =
1x2 y2
Partial derivatives with respect to x:For z =
1x2 y2:
z
x= x
1x2 y2
For z =1x2 y2:
z
x= x
1x2 y2
ExampleTwo functions defined implicitly by x2+ y2+ z2 = 1:
z =1x2 y2 and z =
1x2 y2
Partial derivatives with respect to x:For z =
1x2 y2:
z
x= x
1x2 y2
For z =1x2 y2:
z
x= x
1x2 y2
ExampleTwo functions defined implicitly by x2+ y2+ z2 = 1:
z =1x2 y2 and z =
1x2 y2
Partial derivatives with respect to x:For z =
1x2 y2:
z
x= x
1x2 y2
For z =1x2 y2:
z
x= x
1x2 y2
ExampleTwo functions defined implicitly by x2+ y2+ z2 = 1:
z =1x2 y2 and z =
1x2 y2
Partial derivatives with respect to x:For z =
1x2 y2:
z
x= x
1x2 y2
For z =1x2 y2:
z
x= x
1x2 y2
How can we get the partial derivatives of z without isolating z?
AnswerImplicit differentiation!
How can we get the partial derivatives of z without isolating z?
AnswerImplicit differentiation!
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3 3z2 z
y+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz
zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3 3z2 z
y+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3 3z2 z
y+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]=
2y +4z zx
2
y[y3z3]= y3 3z2 z
y+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +
4z zx
2
y[y3z3]= y3 3z2 z
y+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z
zx
2
y[y3z3]= y3 3z2 z
y+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3 3z2 z
y+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]
= y3 3z2 zy
+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]=
y3 3z2 zy
+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3
3z2 zy
+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3 3z2
zy
+ z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3 3z2 z
y+
z3 3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3 3z2 z
y+ z3
3y2
NoteSuppose z is a function of x and y . By the chain rule:
x[ f (z)]= d f
dz zx
ExampleSuppose z is a function of x and y .
1
x[2xy +2z2]= 2y +4z z
x
2
y[y3z3]= y3 3z2 z
y+ z3 3y2
ExampleLet z be a function in x and y defined implicitly by x2+ y2+ z2 = 1. Findz
xand
z
y.
Note: If z =1x2 y2, then
z
x= x
z= x
1x2 y2
If z =1x2 y2, then
z
x= x
z= x
1x2 y2
ExampleLet z be a function in x and y defined implicitly by x2+ y2+ z2 = 1. Findz
xand
z
y.
Note: If z =1x2 y2, then
z
x= x
z= x
1x2 y2
If z =1x2 y2, then
z
x= x
z= x
1x2 y2
ExampleLet z be a function in x and y defined implicitly by x2+ y2+ z2 = 1. Findz
xand
z
y.
Note: If z =1x2 y2, then
z
x= x
z=
x1x2 y2
If z =1x2 y2, then
z
x= x
z= x
1x2 y2
ExampleLet z be a function in x and y defined implicitly by x2+ y2+ z2 = 1. Findz
xand
z
y.
Note: If z =1x2 y2, then
z
x= x
z= x
1x2 y2
If z =1x2 y2, then
z
x= x
z= x
1x2 y2
ExampleLet z be a function in x and y defined implicitly by x2+ y2+ z2 = 1. Findz
xand
z
y.
Note: If z =1x2 y2, then
z
x= x
z= x
1x2 y2
If z =1x2 y2, then
z
x= x
z= x
1x2 y2
ExampleLet z be a function in x and y defined implicitly by x2+ y2+ z2 = 1. Findz
xand
z
y.
Note: If z =1x2 y2, then
z
x= x
z= x
1x2 y2
If z =1x2 y2, then
z
x= x
z=
x1x2 y2
ExampleLet z be a function in x and y defined implicitly by x2+ y2+ z2 = 1. Findz
xand
z
y.
Note: If z =1x2 y2, then
z
x= x
z= x
1x2 y2
If z =1x2 y2, then
z
x= x
z= x
1x2 y2
Example
Let z be a function defined implicitly by ln(x+ z)= xy . Find zx
,z
yand
2z
xy.
Answers:
z
x= xy + yz1
z
y= x2+xz
Example
Let z be a function defined implicitly by ln(x+ z)= xy . Find zx
,z
yand
2z
xy.
Answers:
z
x= xy + yz1
z
y= x2+xz
Outline
1 Implicit Differentiation
2 The Chain Rule
3 Differentiability
4 The Total Differential
Composition of FunctionsType 0: z = f (t ) and t = g (x, y)Type 1: z = f (x, y), x = x(t ), y = y(t )Type 2: z = f (x, y) and x = x(u,v), y = y(u,v)
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )=
3cos1
t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t
sin
(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)=
3cos1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t
3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)=
8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2
(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)
2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+
3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Composition of Functions1 z(t )= ln t , t (x, y)= x2+ y2
z(x, y)= ln(x2+ y2)
z is a function of two variables x and y
2 z(x, y)= 3cosx sin(xy), x(t )= 1t, y(t )= 3t
z(t )= 3cos 1t sin(1
t3t)= 3cos 1
t sin3
z is a function of a single variable t3 z(x, y)= 8x2y 2x+3y , x(u,v)= uv , y(u,v)= u v
z(u,v)= 8u2v2(u v)2(u v)+3(u v)
z is a function of two variables u and v .
Recall:Type 0: f is a function of a single variable and g a function of twovariables x and y . Then
x
[f (g (x, y))
]= f (g (x, y)) x
[g (x, y)]
ExampleGiven f (x, y)= ln(x2+ y2), find fx(x, y).
Answer: fx(x, y)= 1x2+ y2
x(x2+ y2)= 1
x2+ y2 2x
Recall:Type 0: f is a function of a single variable and g a function of twovariables x and y . Then
x
[f (g (x, y))
]= f (g (x, y)) x
[g (x, y)]
ExampleGiven f (x, y)= ln(x2+ y2), find fx(x, y).
Answer: fx(x, y)=
1
x2+ y2
x(x2+ y2)= 1
x2+ y2 2x
Recall:Type 0: f is a function of a single variable and g a function of twovariables x and y . Then
x
[f (g (x, y))
]= f (g (x, y)) x
[g (x, y)]
ExampleGiven f (x, y)= ln(x2+ y2), find fx(x, y).
Answer: fx(x, y)= 1x2+ y2
x(x2+ y2)= 1
x2+ y2 2x
Recall:Type 0: f is a function of a single variable and g a function of twovariables x and y . Then
x
[f (g (x, y))
]= f (g (x, y)) x
[g (x, y)]
ExampleGiven f (x, y)= ln(x2+ y2), find fx(x, y).
Answer: fx(x, y)= 1x2+ y2
x(x2+ y2)=
1
x2+ y2 2x
Recall:Type 0: f is a function of a single variable and g a function of twovariables x and y . Then
x
[f (g (x, y))
]= f (g (x, y)) x
[g (x, y)]
ExampleGiven f (x, y)= ln(x2+ y2), find fx(x, y).
Answer: fx(x, y)= 1x2+ y2
x(x2+ y2)= 1
x2+ y2 2x
Type 1: z = f (x, y), x = x(t ), y = y(t )TheoremIf x(t ) and y(t ) are differentiable at t and z = f (x, y) is differentiable at(x(t ), y(t )), then
dz
dt= zx
dxdt
+ zy
dydt
Note:For Type 1, note that z = f (x, y)= f (x(t ), y(t )) is a function of a singlevariable t . Thus, we call
dz
dtthe total derivative of z with respect to t
(as opposed to partial derivatives).
Type 1: z = f (x, y), x = x(t ), y = y(t )TheoremIf x(t ) and y(t ) are differentiable at t and z = f (x, y) is differentiable at(x(t ), y(t )), then
dz
dt= zx
dxdt
+ zy
dydt
Note:For Type 1, note that z = f (x, y)= f (x(t ), y(t )) is a function of a singlevariable t . Thus, we call
dz
dtthe total derivative of z with respect to t
(as opposed to partial derivatives).
Example
z = 3cosx sin(xy), x = 1t, y = 3t
Type 2: z = f (x, y) and x = x(u,v), y = y(u,v)TheoremIf x = x(u,v) and y = y(u,v) have first order partial derivatives at (u,v) andif f (x, y) is differentiable at (x, (u,v), y(u,v)), then:
z
u= zx
xu
+ zy
yu
andz
v= zx
xv
+ zy
yv
Examplez = 8x2y 2x+3y , x = uv , y = u v
Extension to 3 or more variables
Exampleu = r s2 ln t , r = x2, s = 4y +1, t = xy3
Outline
1 Implicit Differentiation
2 The Chain Rule
3 Differentiability
4 The Total Differential
Differentiability for y = f (x)f (x) is differentiable at x = x0 if f (x0) exists.
Properties of Differentiability1 The graph of f has a non-vertical tangent line at x = x02 The tangent line gives a local linear approximation at x0
f (x) f (x0)+ f (x0)(xx0)
when x is very close to x0.(Note that the local linear approximation is the first degree TaylorPolynomial at x = x0!)
3 f is continuous at x0
RecallThe graph of a differentiable function is "smooth".
Differentiability for y = f (x)f (x) is differentiable at x = x0 if f (x0) exists.
Properties of Differentiability1 The graph of f has a non-vertical tangent line at x = x0
2 The tangent line gives a local linear approximation at x0
f (x) f (x0)+ f (x0)(xx0)
when x is very close to x0.(Note that the local linear approximation is the first degree TaylorPolynomial at x = x0!)
3 f is continuous at x0
RecallThe graph of a differentiable function is "smooth".
Differentiability for y = f (x)f (x) is differentiable at x = x0 if f (x0) exists.
Properties of Differentiability1 The graph of f has a non-vertical tangent line at x = x02 The tangent line gives a local linear approximation at x0
f (x) f (x0)+ f (x0)(xx0)
when x is very close to x0.(Note that the local linear approximation is the first degree TaylorPolynomial at x = x0!)
3 f is continuous at x0
RecallThe graph of a differentiable function is "smooth".
Differentiability for y = f (x)f (x) is differentiable at x = x0 if f (x0) exists.
Properties of Differentiability1 The graph of f has a non-vertical tangent line at x = x02 The tangent line gives a local linear approximation at x0
f (x) f (x0)+ f (x0)(xx0)
when x is very close to x0.
(Note that the local linear approximation is the first degree TaylorPolynomial at x = x0!)
3 f is continuous at x0
RecallThe graph of a differentiable function is "smooth".
Differentiability for y = f (x)f (x) is differentiable at x = x0 if f (x0) exists.
Properties of Differentiability1 The graph of f has a non-vertical tangent line at x = x02 The tangent line gives a local linear approximation at x0
f (x) f (x0)+ f (x0)(xx0)
when x is very close to x0.(Note that the local linear approximation is the first degree TaylorPolynomial at x = x0!)
3 f is continuous at x0
RecallThe graph of a differentiable function is "smooth".
Differentiability for y = f (x)f (x) is differentiable at x = x0 if f (x0) exists.
Properties of Differentiability1 The graph of f has a non-vertical tangent line at x = x02 The tangent line gives a local linear approximation at x0
f (x) f (x0)+ f (x0)(xx0)
when x is very close to x0.(Note that the local linear approximation is the first degree TaylorPolynomial at x = x0!)
3 f is continuous at x0
RecallThe graph of a differentiable function is "smooth".
Differentiability for y = f (x)f (x) is differentiable at x = x0 if f (x0) exists.
Properties of Differentiability1 The graph of f has a non-vertical tangent line at x = x02 The tangent line gives a local linear approximation at x0
f (x) f (x0)+ f (x0)(xx0)
when x is very close to x0.(Note that the local linear approximation is the first degree TaylorPolynomial at x = x0!)
3 f is continuous at x0
RecallThe graph of a differentiable function is "smooth".
We want to define differentiability for functions of two variables in such away that the a differentiable function also has those three properties.
Problem:The existence of fx(x0, y0) and fy (x0, y0) does not guarantee that f hasthose three properties!
We want to define differentiability for functions of two variables in such away that the a differentiable function also has those three properties.
Problem:The existence of fx(x0, y0) and fy (x0, y0) does not guarantee that f hasthose three properties!
DefinitionA function of 2 variables f (x, y) is said to be differentiable at (x0, y0) ifthe following conditions are satisfied:
1 fx(x0, y0) and fy (x0, y0) exist, and
2 lim(x,y)(x0,y0)
f (x, y)L(x, y)(xx0)2+ (y y0)2
= 0, where
L(x, y)= f (x0, y0)+ fx(x0, y0)(xx0)+ fy (x0, y0)(y y0)
If f is differentiable at (x0, y0), L(x, y) is called the local linearapproximation of f at (x0, y0)
Examplef (x, y)= x2+ y2 is differentiable at (0,0).
DefinitionA function f (x, y) is said to be differentiable if f (x, y) is differentiable forall (x, y) R2.
TheoremIf a function is differentiable at a point, then it is continuous at that point.
DefinitionA function f (x, y) is said to be differentiable if f (x, y) is differentiable forall (x, y) R2.
TheoremIf a function is differentiable at a point, then it is continuous at that point.
RemarkProperties of a function f that is differentiable at (x0, y0):
1 The graph of f has a non-vertical tangent plane at (x0, y0, f (x0, y0)).An equation of this tangent plane is z = L(x, y).
2 L(x, y) approximates f (x, y) when (x, y) is very close to (x0, y0).
f (x, y) L(x, y)
3 f is continuous at (x0, y0).
RemarkProperties of a function f that is differentiable at (x0, y0):
1 The graph of f has a non-vertical tangent plane at (x0, y0, f (x0, y0)).An equation of this tangent plane is z = L(x, y).
2 L(x, y) approximates f (x, y) when (x, y) is very close to (x0, y0).
f (x, y) L(x, y)
3 f is continuous at (x0, y0).
RemarkProperties of a function f that is differentiable at (x0, y0):
1 The graph of f has a non-vertical tangent plane at (x0, y0, f (x0, y0)).An equation of this tangent plane is z = L(x, y).
2 L(x, y) approximates f (x, y) when (x, y) is very close to (x0, y0).
f (x, y) L(x, y)
3 f is continuous at (x0, y0).
RemarkProperties of a function f that is differentiable at (x0, y0):
1 The graph of f has a non-vertical tangent plane at (x0, y0, f (x0, y0)).An equation of this tangent plane is z = L(x, y).
2 L(x, y) approximates f (x, y) when (x, y) is very close to (x0, y0).
f (x, y) L(x, y)
3 f is continuous at (x0, y0).
RemarkProperties of a function f that is differentiable at (x0, y0):
1 The graph of f has a non-vertical tangent plane at (x0, y0, f (x0, y0)).An equation of this tangent plane is z = L(x, y).
2 L(x, y) approximates f (x, y) when (x, y) is very close to (x0, y0).
f (x, y) L(x, y)
3 f is continuous at (x0, y0).
TheoremIf all first-order partial derivatives of f exist and are continuous at a point,then f is differentiable at that point.
ExampleBy the theorem, f (x, y)= x2+ y2 is differentiable.
RemarkAlso by the theorem:
1 A polynomial functions are differentiable.2 A rational functions is differentiable at every point in its domain.
TheoremIf all first-order partial derivatives of f exist and are continuous at a point,then f is differentiable at that point.
ExampleBy the theorem, f (x, y)= x2+ y2 is differentiable.
RemarkAlso by the theorem:
1 A polynomial functions are differentiable.2 A rational functions is differentiable at every point in its domain.
TheoremIf all first-order partial derivatives of f exist and are continuous at a point,then f is differentiable at that point.
ExampleBy the theorem, f (x, y)= x2+ y2 is differentiable.
RemarkAlso by the theorem:
1 A polynomial functions are differentiable.2 A rational functions is differentiable at every point in its domain.
Outline
1 Implicit Differentiation
2 The Chain Rule
3 Differentiability
4 The Total Differential
DefinitionIf z = f (x, y) is differentiable at (x0, y0), then the total differential of z at(x0, y0) is given by
dz = fx(x0, y0)dx+ fy (xo , y0)dy
ExampleCompute dz for the following:
1 z = x2+ y22 z = tan1(xy)
RemarkNote that dz by itself makes sense, but z by itself makes no sense.
AnnouncementsRecall Class Policy:
1 Missed midterm, prefinal or final exam, with valid excuse: SpecialExam (Harder than the usual)
2 Missed Chapter Quiz, with valid excuse: 1st missed chapter quiz willnot be included in total, succeeding missed chapter quizzes grade of 0
Implicit DifferentiationThe Chain RuleDifferentiabilityThe Total Differential