1 First-order Odes 2 Second-order Linear Odes 3 Higher Order Linear Odes 4 Systems Of Odes. Phase Plane. Qualitative Methods 5 Series Solutions Of Odes. Special Functions 6 Laplace Transforms 7 Linear Algebra: Matrices, Vectors, Determinants. Linear Systems 8 Linear Algebra: Matrix Eigenvalue Problems 9 Vector Differential Calculus. Grad, Div, Curl 10 Vector Integral Calculus. Integral Theorems 11 Fourier Analysis. Partial Differential Equations (pdes) 12 Partial Differential Equations (pdes) 13 Complex Numbers And Functions 14 Complex Integration 15 Power Series, Taylor Series 16 Laurent Series. Residue Integration 17 Conformal Mapping 18 Complex Analysis And Potential Theory 19 Numerics In General 20 Numeric Linear Algebra 21 Numerics For Odes And Pdes 22 Unconstrauined Optimization. Linear Programming 23 Graphs. Combinatorial Optimization 24 Data Analysis. Probability Theory 25 Mathematical Statistics Chapter2: Second-order Linear Odes
2.1 Homogeneous Linear Odes Of Second Order 2.2 Homogeneous Linear Odes With Constant Coefficients 2.3 Differential Operators 2.4 Modeling Of Free Oscillators Of A Mass-spring System 2.5 Euler-cauchy Equations 2.6 Existence And Uniqueness Of Solutions. Wronskian 2.7 Nonhomogeneous Odes 2.8 Modeling: Forced Oscillations. Resonance 2.9 Modeling: Electric Circuits 2.10 Solution By Variation Of Parameters Chapter Questions Section: Chapter Questions
Problem 1RQ Problem 2RQ Problem 3RQ: By what methods can you get a general solution of a nonhomogeneous ODE from a general solution of a... Problem 4RQ Problem 5RQ Problem 6RQ Problem 7RQ: Find a general solution. Show the details of your calculation.
4y″ + 32y′ + 63y = 0
Problem 8RQ: Find a general solution. Show the details of your calculation.
y″ + y′ − 12y = 0
Problem 9RQ: Find a general solution. Show the details of your calculation.
y″ + 6y′ + 34y = 0
Problem 10RQ: Find a general solution. Show the details of your calculation.
y″ + 0.20y′ + 0.17y = 0
Problem 11RQ: Find a general solution. Show the details of your calculation.
(100D2 − 160D + 64I)y = 0
Problem 12RQ: Find a general solution. Show the details of your calculation.
(D2 + 4πD + 4π2I)y = 0
Problem 13RQ: Find a general solution. Show the details of your calculation.
(x2D2 + 2xD − 12I)y = 0
Problem 14RQ: Find a general solution. Show the details of your calculation.
(x2D2 + xD − 9I)y = 0
Problem 15RQ Problem 16RQ Problem 17RQ Problem 18RQ: Find a general solution. Show the details of your calculation.
yy″ = 2y′2
Problem 19RQ: Solve the problem, showing the details of your work. Sketch or graph the solution.
y″ + 16y =... Problem 20RQ: Solve the problem, showing the details of your work. Sketch or graph the solution.
y″ − 3y′ + 2y =... Problem 21RQ: Solve the problem, showing the details of your work. Sketch or graph the solution.
(x2D2 + xD − I)y... Problem 22RQ: Solve the problem, showing the details of your work. Sketch or graph the solution.
(x2D2 + 15xD +... Problem 23RQ: Find the steady-state current in the RLC-circuit in Fig. 71 when R = 2Ω (2000 Ω), L = 1 H, C = 4 ·... Problem 24RQ: Find a general solution of the homogeneous linear ODE corresponding to the ODE in Prob. 23.
25. Find... Problem 25RQ: Find the steady-state current in the RLC-circuit in Fig. 71 when R = 50 Ω, L = 30 H, C = 0.025 F, E... Problem 26RQ: Find the current in the RLC-circuit in Fig. 71 when R = 40 Ω, L = 0.4 H, C = 10−4 F, E = 220 sin... Problem 27RQ Problem 28RQ Problem 29RQ Problem 30RQ Problem 1RQ
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real math analysis please hep me solve problem 10.3.5
Transcribed Image Text: 10.3 The Bolzano-Weierstrass Theorem
Once we introduced the Nested Interval Property (Axiom 10.1.1), the
Intermediate Value Theorem (Theorem 10.2.1) followed pretty readily. The
proof of Extreme Value Theorem (Theorem 10.4.8) takes a bit more work. First
we need to show that a function that satisfies the conditions of the EVT is
bounded.
Theorem 10.3.1. A continuous function defined on a closed, bounded interval
must be bounded. That is, let f be a continuous function defined on [a,b]. Then
there exists a positive real number B such that |f (x)| < B for all x E [a, b].
Sketch of Alleged Proof: Let's assume, for contradiction, that there is no such
bound B. This says that for any positive integer n, there must exist x, E [a, b]
such that |f(xn)| > n. (Otherwise n would be a bound for f.) IF the sequence
(xn) converged to something in [a, b], say c, then we would have our
contradiction. Indeed, we would have lim, 00 *n = c. By the continuity of f at c
and Theorem 9.2.1 of Chapter 9, we would have lim, 00 f(xn)= f(c). This
would say that the sequence (f(xn)) converges, so by Lemma 7.2.7 of
Chapter 7, it must be bounded. This would provide our contradiction, as we had
|f(xn)| > n, for all positive integers n. QED?
This would all work well except for one little problem. The way it was
constructed, there is no reason to expect the sequence (xn) to converge to
anything and we can't make such an assumption. That is why we emphasized
the IF above. Fortunately, this idea can be salvaged. While it is true that the
sequence (xn) may not converge, part of it will. We will need the following
definition.
Definition 10.3.2. Let (nx) be a strictly increasing sequence of positive
integers; that is, n1 < n2 < n3 < …. If (xn)is a sequence, then
= (xn1, Xn2, Xng, ...) is called a {subsequence} of (xn).
The idea is that a subsequence of a sequence is a part of the sequence, (xn),
which is itself a sequence. However, it is a little more restrictive. We can choose
any term in our sequence to be part of the subsequence, but once we choose
that term, we can't go backwards. This is where the condition n1 < n2 < n3 < ·…
comes in. For example, suppose we started our subsequence with the term x100-
We could not choose our next term to be æ99. The subscript of the next term
would have to be greater than 100. In fact, the thing about a subsequence is that
it is all in the subscripts; we are really choosing a subsequence (ng) of the
seguence of subscripts (n) in (xn).
Transcribed Image Text: Problem 10.3.5. Suppose lim,→∞ xn = c. Prove that limk→00 Xng = c for any
subsequence (xng) of (xn).
Hint.
First prove that n. > k.
A very important theorem about subsequences was introduced by Bernhard
Bolzano and, later, independently proven by Karl Weierstrass. Basically, this
theorem says that any bounded sequence of real numbers has a convergent
subsequence.
Branch of mathematical analysis that studies real numbers, sequences, and series of real numbers and real functions. The concepts of real analysis underpin calculus and its application to it. It also includes limits, convergence, continuity, and measure theory.
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