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WorksheetsMock Test
Total questions: 30
Worksheet time: 30mins
Write the characteristic equation of the matrix
λ2−4λ−17=0
λ2+4λ−17=0
λ2+4λ+17=0
λ2−4λ+17=0
Find the determinant of the matrix
-6
6
-10
10
Solve λ2−10λ+16=0.
λ=−2, −8
λ=−2, 8
λ=2, 8
λ=2, −8
Find the sum of the squares of the Eigen values of the matrix
18
7
13
19
Find the sum and product of the Eigen values of the matrix
sum=9
pdt=9
sum=6
pdt=7
sum=7
pdt=8
sum=8
pdt=7
If two Eigen values of the matrix are 1 and 3, then find the third
Eigen value.
3
2
1
-3
The product of 2 Eigen values of the matrix is 6. Find the third Eigen
Value of this matrix.
1
-1
2
-2
Find the sum of the Eigen values of the matrix A−1
3130
3031
3021
3020
If 2, -3, 4 are Eigen values of A, then the Eigen values of A−1 =--------.
−2, 3, −4
−21, 31, −41
21, 31, 41
21, −31, 41
If -1, 2, 3 are Eigen values of the matrix A, then the Eigen values of the matrix A3 are ------
-1, 8, 27
1, 6, 9
1, 8, 27
-1, 6, 27
If 1, -3, 4 are the Eigen values of the matrix A, then the Eigen values of the matrix 2A are ---------.
1, -9, 16
1, 9, 16
2, -6, 8
2, 6, 8
State Cayley-Hamilton theorem.
Every matrix satisfies its own characteristic equation
Every square matrix satisfies its own characteristic equation
Every square matrix satisfies its own polynomial equation
Every square matrix satisfies its equation
Write the matrix of the quadratic form 2x2−3y2+5z2+4xy−6yz+16zx
Write the quadratic form corresponding the the matrix
6x2+3y2+14z2+4xy+18xz+4yz
6x2+3y2+14z2+2xy+9xz+2yz
12x2+6y2+28z2+4xy+18xz+4yz
6x2+3y2+14z2+4xz+18xy+4yz
Write the rank of the quadratic form whose canonical form is 3y12−4y22+y32
0
1
2
3
Find the index of the quadratic form whose canonical form is y12+2y22−4y32
2
1
3
4
Find the signature of the quadratic form whose canonical form is y12+2y22−4y32
4
3
1
2
Determine the nature of Q.F whose canonical form is y12+2y22−4y32
Positive definite
Indefinite
Negative semi-definite
Negative definite
Determine the nature of Q.F whose canonical form is 3y12+5y22+4y32
Positive semi-definite
Indefinite
Negative definite
Positive definite
If the Eigen values of the matrix are 0, -1, -2 then the nature of the quadratic form is -----
indefinite
negative semi-definite
negative definite
positive semi-definite
If all the Eigen values of the matrix are in negative, then the nature of the quadratic form is -------------.
negative definite
negative semi-definite
positive semi-definite
indefinite
In solving algebraic and transcendental equations, the iteration formula for Newton-Raphson method
is ----------.
Bisection method is also known as ------------ method.
Interval Halving
Newton-Raphson
Regula Falsi
Newton's
In solving the function x2 -2=0 using Newton-Raphson method, if the initial guess x0 =3, then the
subsequent estimate x1 will be -----.
1
2
1.5
1.83
In the bisection method for root finding, identify the primary requirement for the function
Continuous on the interval [a, b]
Monotonic on the interval [a, b]
Differentiable on the interval [a, b]
Discontinuous on the interval [a, b]
The convergence rate of the Newton-Raphson method is ---------------.
logarithmic convergence
exponential convergence
quadratic convergence
linear convergence
Under what conditions might the Bisection method provide a more accurate result
compared to other root-finding methods?
When the function is linear
When the initial guess is very close to the root
When the function is highly nonlinear
When the function is continuously differentiable
The condition for choosing a new interval in the Bisection method is based on the sign
of f(a) and f(b). The formula for this condition is:
f(a)−f(b)=0
f(a)⋅f(b)=0
f(a)⋅f(b)>0
f(a)⋅f(b)<0
Identify the primary goal of interpolation in numerical analysis.
To estimate the error in a numerical method
To approximate a function at points between known values
To calculate the definite integral of a function
To find the roots of a polynomial
What happens if the derivative of the function is zero at the current approximation in the Newton-
Raphson method?
The method converges to a local minimum
The iteration continues with the next approximation
The method fails to converge
The method converges to a local maximum
