For the following exercises, Fourier’s law of heat transfer states that the heat flow vector F at a point is proportional to the negative gradient of the temperature; that is, F = − k ∇ T , which means that heat energy flows hot regions to cold regions. The constant k > 0 is called the conductivity , which has metric units of joules per meter per second-kelvin or watts per meter-kelvin. A temperature function for region D is given. Use the divergence theorem to find net outward heat flux ∬ s F ⋅ N d S = − k ∬ s ∇ T ⋅ N d S across the boundary S of D where k = 1 . 425. ; T ( x , y , z ) = 100 + e − z ; D = { ( x , y , z ) : 0 ≤ x ≤ 1 , 0 ≤ y ≤ 1 , 0 ≤ z ≤ 1 }
For the following exercises, Fourier’s law of heat transfer states that the heat flow vector F at a point is proportional to the negative gradient of the temperature; that is, F = − k ∇ T , which means that heat energy flows hot regions to cold regions. The constant k > 0 is called the conductivity , which has metric units of joules per meter per second-kelvin or watts per meter-kelvin. A temperature function for region D is given. Use the divergence theorem to find net outward heat flux ∬ s F ⋅ N d S = − k ∬ s ∇ T ⋅ N d S across the boundary S of D where k = 1 . 425. ; T ( x , y , z ) = 100 + e − z ; D = { ( x , y , z ) : 0 ≤ x ≤ 1 , 0 ≤ y ≤ 1 , 0 ≤ z ≤ 1 }
For the following exercises, Fourier’s law of heat transfer states that the heat flow vector
F
at a point is proportional to the negative gradient of the temperature; that is,
F
=
−
k
∇
T
, which means that heat energy flows hot regions to cold regions. The constant
k
>
0
is called the conductivity, which has metric units of joules per meter per second-kelvin or watts per meter-kelvin. A temperature function for region
D
is given. Use the divergence theorem to find net outward heat flux
∬
s
F
⋅
N
d
S
=
−
k
∬
s
∇
T
⋅
N
d
S
across the boundary
S
of
D
where
k
=
1
.
425. ;
T
(
x
,
y
,
z
)
=
100
+
e
−
z
;
D
=
{
(
x
,
y
,
z
)
:
0
≤
x
≤
1
,
0
≤
y
≤
1
,
0
≤
z
≤
1
}
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
Q2: Using the Laplace transform, find the solution for the following equation
y"" +y" = 6et + 6t + 6. Suppose zero initial conditions (y"" (0) = y"(0) = y'(0) = y(0) = 0).
1- Let A = {A1, A2, ...), in which A, A, = 0, when i j.
a) Is A a π-system? If not, which element(s) should be added to A to become a π-system?
b) Prove that σ(A) consists of the finite or countable unions of elements of A; i.c., A E σ(A) if and
only if there exists finite or countable sequence {n} such that A = U₁An (Hint: Let F be such
class; prove that F is a σ-filed containing A.)
c) Let p ≥ 0 be a sequence of non-negative real numbers with Σip₁ = 1. Using p₁'s, how do you
construct a probability measure on σ(A)? (Hint: use extension theorem.)
2- Construct an example for which P(lim sup A,) = 1 and P(lim inf An) = 0.
3. Let
f(z) =
sin (22) + cos (T2)
2(22+1)(z+1)
Compute f(z)dz over each of the contours/closed curves C1, C2, C3 and C4 shown
below.
Don't use any Al tool
Don't send the same
previous answer that
was Al generated
L
10
-c
x
show ur answer
pe
n and paper then take
Send ur answer in pe
n and paper don't rep
uted ur self down
A Problem Solving Approach To Mathematics For Elementary School Teachers (13th Edition)
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