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Math 8: Calculus in one and several variablesSpring 2018 - Homework 7
Return date: Wednesday 05/16/18
keywords: tangent planes, chain rule in several variables
exercise 1. (3 points) For the following functions �nd the indicated partial derivatives.
a) f(x, y) = x4y − x3y3. Find fxxx and fyxy.
Solution: When calculating fx = ∂f(x,y)∂x we treat y as a constant. We get
fx =∂
∂xx4y − x3y3 = 4x3y − 3x2y3.
In a similar fashion we get for fxx = ∂fx(x,y)∂x and fxxx = ∂fxx(x,y)
∂x :
fxx =∂
∂x4x3y − 3x2y3 = 12x2y − 6xy3 and fxxx =
∂
∂x12x2y − 6xy3 = 24xy − 6y3.
For fyxy we get
fy =∂
∂yx4y − x3y3 = x4 − 3x3y2,
fyx =∂
∂xx4 − 3x3y2 = 4x3 − 9x2y2 and fyxy =
∂
∂y4x3 − 9x2y2 = −18x2y.
b) f(x, y, z) = y · ex3+y2+z3 . Find fyz.
Solution: When calculating fy = ∂f(x,y,z)∂y we now treat x and z as constants. We get
fy =∂
∂y(y · ex2+y2+z3) = ex
3+y2+z3 + 2y2ex3+y2+z3 .
Then fyz =∂fy(x,y,z)
∂z :
fyz =∂
∂z(ex
3+y2+z3 + 2y2ex3+y2+z3) = 3z2ex
3+y2+z3 + 6y2z2ex3+y2+z3 .
exercise 2. (3 points) Find an equation for the tangent plane to the graph of the givenfunction at the given point.Solution: In general the equation for the tangent plane TP at the point
P = (x0, y0, z0) = (x0, y0, f(x0, y0)) is
TP : z = z0 + fx(x0, y0)(x− x0) + fy(x0, y0)(y − y0).
Math 8: Calculus in one and several variablesSpring 2018 - Homework 7
Return date: Wednesday 05/16/18
a) f(x, y) = x2 + 3y2 at the point P = (1, 1, 4). Sketch the function and the plane.Solution: We �rst have to calculate the partial derivatives fx and fy. We get:
fx(x, y) = 2x , fx(1, 1) = 2 and fy(x, y) = 6y , fy(1, 1) = 6.
Then from the formula above we get the equation for the tangent plane at P = (1, 1, 4):
TP : z = 4 + 2(x− 1) + 6(y − 1) or 2x+ 6y − z = 4.
To sketch the function we can look at the level sets and the cross sections.For the level sets Lf (k) of f we get: k = z = f(x, y) = x2 + 3y2 ≥ 0 ⇔ k = x2 + 3y2.Hence
Lf (k) = {(x, y) ∈ R2, such that k = x2 = 3y2} (k ≥ 0).
The level sets are ellipses in the xy-plane. A level curve Lf (k) can be parametrized by
Lf (k) : (x, y) =
(√k · cos(t),
√k
3· sin(t)
)where t ∈ [0, 2π].
Then x2 + 3y2 = (√k cos(t))2 + 3(
√k3 · sin(t))2 = k.
Additionally we can look at the sections of the function f . For y = 0 and x = 0 we get:
y = 0 : z = f(x, 0) = x2 + 02 = x2 (xz − plane)
x = 0 : z = f(0, y) = 0 + 3y2 = 3y2 (yz − plane)
Hence in the cross sections we get z = x2 and z = 3y2. Using this information togetherwith the information about the level sets, we can sketch the graph Γ(f) of the function f :
Γ(f)
Math 8: Calculus in one and several variablesSpring 2018 - Homework 7
Return date: Wednesday 05/16/18
b) f(x, y) = ex+2y at the point P = (−2, 1, 1).Solution: We �rst have to calculate the partial derivatives fx and fy. We get:
fx(x, y) = ex+2y , fx(−2, 1) = e0 = 1 and fy(x, y) = 2 · ex+2y , fy(−2, 1) = 2 · e0 = 2.
Then from the formula above we get the equation for the tangent plane at P = (−2, 1, 1):
TP : z = 1 + 1 · (x+ 2) + 2 · (y − 1) or x+ 2y − z = −1.
exercise 3. (3 points) Find the approximation of f (i.e., the linearization) of the functionat the given point.
a) f(x, y) =√xy + 2 at (x, y) = (4, 1).
Solution: The equation for the tangent plane TP at the point P = (x0, y0, f(x0, y0)) is
TP : z = z0 + fx(x0, y0)(x− x0) + fy(x0, y0)(y − y0).
This is a function TP (x, y) = L(x, y), the linear approximation of f near (x, y) = (4, 1).We get:
fx(x, y) =y
2√xy + 2
, fx(4, 1) =1
2√
4 · 1 + 2=
1
2√
6and fy(x, y) =
x
2√xy + 2
, fy(4, 1) =2√6.
With the help of these values and f(4, 1) =√
6 we get the approximation of f near(x, y) = (4, 1) from the equation of the tangent plane TP (x, y) = L(x, y):
L(x, y) = z =√
6 +1
2√
6· (x− 4) +
2√6· (y − 1) or L(x, y) =
1
2√
6x+
2√6y + 3
√6.
b) f(x, y) = x+2y−2 at (x, y) = (0, 0).
Solution: The equation for the tangent plane TP at the point P = (x0, y0, f(x0, y0)) is
TP : z = z0 + fx(x0, y0)(x− x0) + fy(x0, y0)(y − y0).
This is a function TP (x, y) = L(x, y), the linear approximation of f near (x, y) = (4, 1).We get:
fx(x, y) =1
y − 2, fx(0, 0) = −1
2and fy(x, y) = − (x+ 2)
(y − 2)2, fy(0, 0) = −1
2.
With the help of these values and f(0, 0) = −1 we get the approximation of f near (x, y) =(0, 0) from the equation of the tangent plane TP (x, y) = L(x, y):
L(x, y) = z = −1 +−1
2· (x− 0) +
−1
2· (y − 0) or L(x, y) = −x
2− y
2− 1.
Math 8: Calculus in one and several variablesSpring 2018 - Homework 7
Return date: Wednesday 05/16/18
exercise 4. (4 points) Suppose you need to know the tangent plane of a surface S containingthe point P = (2, 1, 3). You do not know the equation for S, but you know that the curves
r1(t) = 〈2 + 3t, 1− t2, 3− 4t+ t2〉 and r2(s) = 〈1 + s2, 2s3 − 1, 2s+ 1〉
both lie in S and pass through P .Find an equation of the tangent plane of S passing through P .Solution: As the curves lie in S their tangent vectors at P lie in the tangent plane TPof S at P . Hence at P the corresponding tangent vectors are perpendicular to the normal vectornP of TP which is given by the equation
TP : 〈(x, y, z)− P 〉 • nP = 0.
We �rst have to �nd these tangent vectors. To this end we have to �nd the values of t and swhere the curves pass P . We get:
r1(t) = 〈2 + 3t, 1− t2, 3− 4t+ t2〉 = 〈2, 1, 3〉 ⇒ 2 + 3t = 2⇒ t = 0 and
r2(s) = 〈1 + s2, 2s3 − 1, 2s+ 1〉 = 〈2, 1, 3〉 ⇒ 2s+ 1 = 3⇒ s = 1.
Then we �nd have to �nd the tangent vectors of r1(t) and r2(s) at P . We have
r′1(t) = 〈3,−2t,−4 + 2t〉 ⇒ r′1(0) = 〈3, 0,−4〉 and r′2(s) = 〈2s, 6s2, 2〉 ⇒ r′2(1) = 〈2, 6, 2〉.
As r′1(0) and r′2(1) are perpendicular to a normal vector nP of TP we can set
nP = r′1(0)× r′2(1) = 〈3, 0,−4〉 × 〈2, 6, 2〉 = 〈24,−14, 18〉 = 2 · 〈12,−7, 9〉.
To simplify our calculations we take the normal vector nP = 〈12,−7, 9〉. Hence with the equationfor the tangent plane we get
TP : 〈(x, y, z)− (2, 1, 3)〉 • 〈12,−7, 9〉 = 0 or 12x− 7y + 9z = 44.
exercise 5. (4 points) Use the chain rule to �nd∂z
∂sand
∂z
∂twhere
z = arctan(x2 + y2) and x = s · ln(t), y = t · es.
Solution: By the chain rule we have:
∂z
∂s=∂z
∂x· ∂x∂s
+∂z
∂y· ∂y∂s
and∂z
∂t=∂z
∂x· ∂x∂t
+∂z
∂y· ∂y∂t.
Math 8: Calculus in one and several variablesSpring 2018 - Homework 7
Return date: Wednesday 05/16/18
Step 1: We �rst calculate ∂z∂x and ∂z
∂y .
∂z
∂x=
∂
∂xarctan(x2 + y2) =
2x
(x2 + y2)2 + 1and
∂z
∂y=
2y
(x2 + y2)2 + 1.
Step 2: Then we calculate ∂x∂s and ∂y
∂s and ∂x∂t and ∂y
∂t .
I.)∂x
∂s=
∂
∂ss · ln(t) = ln(t) and
∂y
∂s=
∂
∂st · es = tes.
II.)∂x
∂t=
∂
∂ts · ln(t) =
s
tand
∂y
∂t=
∂
∂tt · es = es.
Step 3: Then we substitute x = s ln(t) and y = tes into ∂z(x,y)∂x and ∂z(x,y)
∂y :
∂z(x, y)
∂x=
2s ln(t)
(s2 ln(t)2 + t2e2s)2 + 1and
∂z(x, y)
∂y=
2tes
(s2 ln(t)2 + t2 · e2s)2 + 1.
Step 4: Plugging in the results from Step 2 and Step 3 into the formula for the chain rule, weget:
∂z
∂s=
2s ln(t) · ln(t)
(s2 ln(t)2 + t2e2s)2 + 1+
2tes · tes
(s2 ln(t)2 + t2 · e2s)2 + 1=
2s ln2(t) + 2t2e2s
(s2 ln(t)2 + t2e2s)2 + 1,
∂z
∂t=
2s ln(t) · st(s2 ln(t)2 + t2e2s)2 + 1
+2tes · es
(s2 ln(t)2 + t2 · e2s)2 + 1=
2s2 ln(t)t + 2te2s
(s2 ln(t)2 + t2e2s)2 + 1.
Math 8: Calculus in one and several variablesSpring 2018 - Homework 7
Return date: Wednesday 05/16/18
exercise 6. (3 points) The temperature at a point (x, y) in the plane is givenby the function T (x, y). A bug crawls along a path c, such that its position after time t inseconds is given by
c : r(t) = 〈√
3− t, 3t〉, where t ∈ [0, 10].
From measurements you know that the temperature function satis�es
Tx(√
2, 3) = 2 and Ty(√
2, 3) = 3.
How fast is the temperature rising on the bugs path after 1 seconds?Solution: We know that the change of the temperature along the path r(t) = 〈x(t), y(t)〉 attime t = t0 is
∂T (r(t))
∂t
∣∣∣t=t0
=∂T (x(t), y(t))
∂t
∣∣∣t=t0
= Tx(x(t0), y(t0)) · x′(t0) + Ty(x(t0), y(t0)) · y′(t0).
Here the last equation follows from the chain rule.We know furthermore that
r(t) = 〈√
3− t, 3t〉 = 〈√
2, 3〉 ⇒ 3t = 3⇒ t = 1.
Hence the bug reaches the point (√
2, 3) after one second. With
r′(t) = 〈x′(t), y′(t)〉 =
⟨−1
2√
3− t, 3
⟩, we have r′(1) = 〈x′(1), y′(1)〉 =
⟨− 1
2√
2, 3
⟩.
Using the chain rule we get
∂T (r(t))
∂t
∣∣∣t=1
= Tx(√
2, 3) · x′(1) + Ty(√
2, 3) · y′(1) = − 1√2
+ 9 = 8.293.
Therefore the temperature changes by 8.293◦ per second when the bug reaches the point (√
2, 3).