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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