Student's Solutions Manual for Fundamentals of Differential Equations and Fundamentals of Differential Equations and Boundary Value Problems
9th Edition
ISBN: 9780321977212
Author: Nagle, R. Kent; Saff, Edward B.; Snider, Arthur David
Publisher: PEARSON
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7. Rank and Nullity
•
Prove the Rank-Nullity Theorem: dim(ker(T)) + dim(im(T)) = dim(V) for a linear
transformation T: VW.
•
Compute the rank and nullity of the matrix:
[1 2 37
C
=
45 6
7
8 9
5. Inner Product Spaces
•
•
Prove that the space C[a, b] of continuous functions over [a, b] with the inner product
(f,g) = f f (x)g(x)dx is an inner product space.
Use the Gram-Schmidt process to orthogonalize the vectors (1, 1, 0), (1, 0, 1), and
(0, 1, 1).
19. Block Matrices
• Prove that the determinant of a block matrix:
A B
0 D
.
is det(A) · det (D), where A and D are square matrices.
•
Show how block matrices are used in solving large-scale linear systems.
Chapter 1 Solutions
Student's Solutions Manual for Fundamentals of Differential Equations and Fundamentals of Differential Equations and Boundary Value Problems
Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - Prob. 9ECh. 1.1 - In Problems 112, a differential equation is given...
Ch. 1.1 - In Problems 112, a differential equation is given...Ch. 1.1 - Prob. 12ECh. 1.1 - In Problems 1316, write a differential equation...Ch. 1.1 - In Problems 1316, write a differential equation...Ch. 1.1 - In Problems 1316, write a differential equation...Ch. 1.1 - In Problems 1316, write a differential equation...Ch. 1.1 - Prob. 17ECh. 1.2 - (a) Show that (x) = x2 is an explicit solution to...Ch. 1.2 - (a) Show that y2 + x 3 = 0 is an implicit...Ch. 1.2 - In Problems 38, determine whether the given...Ch. 1.2 - In Problems 38, determine whether the given...Ch. 1.2 - In Problems 38, determine whether the given...Ch. 1.2 - In Problems 38, determine whether the given...Ch. 1.2 - In Problems 38, determine whether the given...Ch. 1.2 - In Problems 38, determine whether the given...Ch. 1.2 - In Problems 913, determine whether the given...Ch. 1.2 - In Problems 913, determine whether the given...Ch. 1.2 - In Problems 913, determine whether the given...Ch. 1.2 - In Problems 913, determine whether the given...Ch. 1.2 - In Problems 913, determine whether the given...Ch. 1.2 - Prob. 14ECh. 1.2 - Verify that (x) = 2/(1 cex), where c is an...Ch. 1.2 - Verify that x2 + cy2 = 1, where c is an arbitrary...Ch. 1.2 - Show that (x) = Ce3x + 1 is a solution to dy/dx ...Ch. 1.2 - Let c 0. Show that the function (x) = (c2 x2) 1...Ch. 1.2 - Prob. 19ECh. 1.2 - Determine for which values of m the function (x) =...Ch. 1.2 - Prob. 21ECh. 1.2 - Prob. 22ECh. 1.2 - Prob. 23ECh. 1.2 - In Problem 2328, determine whether Theorem 1...Ch. 1.2 - In Problem 2328, determine whether Theorem 1...Ch. 1.2 - (a) Find the total area between f(x) = x3 x and...Ch. 1.2 - In Problem 2328, determine whether Theorem 1...Ch. 1.2 - In Problem 2328, determine whether Theorem 1...Ch. 1.2 - (a) For the initial value problem (12) of Example...Ch. 1.2 - Prob. 30ECh. 1.2 - Consider the equation of Example 5, (13)ydydx4x=0....Ch. 1.3 - The direction field for dy/dx = 4x/y is shown in...Ch. 1.3 - Prob. 2ECh. 1.3 - A model for the velocity at time t of a certain...Ch. 1.3 - Prob. 4ECh. 1.3 - The logistic equation for the population (in...Ch. 1.3 - Consider the differential equation dydx=x+siny....Ch. 1.3 - Consider the differential equation dpdt=p(p1)(2p)...Ch. 1.3 - The motion of a set of particles moving along the...Ch. 1.3 - Let (x) denote the solution to the initial value...Ch. 1.3 - Use a computer software package to sketch the...Ch. 1.3 - Prob. 11ECh. 1.3 - Prob. 12ECh. 1.3 - Prob. 13ECh. 1.3 - In Problems 11-16, draw the isoclines with their...Ch. 1.3 - Prob. 15ECh. 1.3 - Prob. 16ECh. 1.3 - From a sketch of the direction field, what can one...Ch. 1.3 - Prob. 18ECh. 1.3 - Prob. 19ECh. 1.3 - Prob. 20ECh. 1.4 - In many of the problems below, it will be helpful...Ch. 1.4 - Prob. 2ECh. 1.4 - Prob. 3ECh. 1.4 - Prob. 4ECh. 1.4 - Prob. 5ECh. 1.4 - Use Eulers method with step size h = 0.2 to...Ch. 1.4 - Prob. 7ECh. 1.4 - Prob. 8ECh. 1.4 - Prob. 9ECh. 1.4 - Use the strategy of Example 3 to find a value of h...Ch. 1.4 - Prob. 11ECh. 1.4 - Prob. 12ECh. 1.4 - Prob. 13ECh. 1.4 - Prob. 14ECh. 1.4 - Prob. 15ECh. 1.4 - Prob. 16ECh. 1 - In Problems 16, identify the independent variable,...Ch. 1 - Prob. 2RPCh. 1 - Prob. 3RPCh. 1 - Prob. 4RPCh. 1 - Prob. 5RPCh. 1 - Prob. 6RPCh. 1 - Prob. 7RPCh. 1 - Prob. 8RPCh. 1 - Prob. 9RPCh. 1 - Prob. 10RPCh. 1 - Prob. 11RPCh. 1 - Prob. 12RPCh. 1 - Prob. 13RPCh. 1 - Prob. 14RPCh. 1 - Prob. 15RPCh. 1 - Prob. 16RPCh. 1 - Prob. 17RPCh. 1 - Prob. 1TWECh. 1 - Compare the different types of solutions discussed...
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- 6. Norms and Metrics • Show that the function || || norm on Rn. = √xT Ax, where A is a positive definite matrix, defines a . Prove that the matrix norm induced by the vector L²-norm satisfies ||A||2 ✓ max (ATA), where Amax is the largest eigenvalue.arrow_forward2. Linear Transformations • • Let T: R3 R³ be a linear transformation such that T(x, y, z) = (x + y, y + z, z + → x). Find the matrix representation of T with respect to the standard basis. Prove that a linear transformation T : VV is invertible if and only if it is bijective.arrow_forward11. Positive Definiteness Prove that a matrix A is positive definite if and only if all its eigenvalues are positive.arrow_forward
- 21. Change of Basis Prove that the matrix representation of a linear transformation T : V → V depends on the choice of basis in V. If P is a change of basis matrix, show that the transformation matrix in the new basis is P-¹AP.arrow_forward14. Projection Matrices Show that if P is a projection matrix, then P² = P. Find the projection matrix onto the subspace spanned by the vector (1,2,2)T.arrow_forward4. Diagonalization Prove that a square matrix A is diagonalizable if and only if A has n linearly independent eigenvectors. • Determine whether the following matrix is diagonalizable: [54 2 B = 01 -1 3arrow_forward
- 8. Determinants • • Prove that the determinant of a triangular matrix is the product of its diagonal entries. Show that det(AB) = det(A)det(B) for any two square matrices A and B.arrow_forward15. Tensor Products • • Define the tensor product of two vector spaces. Compute the tensor product of (1,0) and (0, 1) in R². Discuss the role of tensors in multilinear algebra and provide an example of a second-order tensor.arrow_forward20. Numerical Methods • Describe the QR decomposition method and explain its use in solving linear systems. • Solve the following system numerically using Jacobi iteration: 10x+y+z = 12, 2x+10y+z = 13, 2x+2y+10z = 14.arrow_forward
- 1. Vector Spaces • Prove that the set of all polynomials of degree at most n forms a vector space over R. Determine its dimension. • = Let VR³ and define a subset W = {(x, y, z) Є R³ | x + y + z = 0}. Prove that W is a subspace of V and find its basis.arrow_forward24. Spectral Decomposition Explain the spectral decomposition of a symmetric matrix and its applications. • Compute the spectral decomposition of: A = 5 4arrow_forward3. Eigenvalues and Eigenvectors • Find the eigenvalues and eigenvectors of the matrix: 2 1 A = = Prove that if A is a symmetric matrix, then all its eigenvalues are real.arrow_forward
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