Linear approximation a. Find the linear approximation to the function f at the point ( a, b ) . b. Use part (a) to estimate the given function value. 78. f ( x , y ) = 4 cos ( 2 x − y ) ; ( a , b ) = ( π 4 , π 4 ) ; estimate f ( 0.8 , 0.8 ) .
Linear approximation a. Find the linear approximation to the function f at the point ( a, b ) . b. Use part (a) to estimate the given function value. 78. f ( x , y ) = 4 cos ( 2 x − y ) ; ( a , b ) = ( π 4 , π 4 ) ; estimate f ( 0.8 , 0.8 ) .
Solution Summary: The author explains the linear approximation of the function f(x,y)=4mathrmcos
The OU process studied in the previous problem is a common model for interest rates.
Another common model is the CIR model, which solves the SDE:
dX₁ = (a = X₁) dt + σ √X+dWt,
-
under the condition Xoxo. We cannot solve this SDE explicitly.
=
(a) Use the Brownian trajectory simulated in part (a) of Problem 1, and the Euler
scheme to simulate a trajectory of the CIR process. On a graph, represent both the
trajectory of the OU process and the trajectory of the CIR process for the same
Brownian path.
(b) Repeat the simulation of the CIR process above M times (M large), for a large
value of T, and use the result to estimate the long-term expectation and variance
of the CIR process. How do they compare to the ones of the OU process?
Numerical application: T = 10, N = 500, a = 0.04, x0 = 0.05, σ = 0.01, M = 1000.
1
(c) If you use larger values than above for the parameters, such as the ones in Problem
1, you may encounter errors when implementing the Euler scheme for CIR. Explain
why.
#8 (a) Find the equation of the tangent line to y = √x+3 at x=6
(b) Find the differential dy at y = √x +3 and evaluate it for x=6 and dx = 0.3
Q.2 Q.4 Determine ffx dA where R is upper half of the circle shown below.
x²+y2=1
(1,0)
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