Nonlinear Dynamics and Chaos
2nd Edition
ISBN: 9780813349107
Author: Steven H. Strogatz
Publisher: PERSEUS D
expand_more
expand_more
format_list_bulleted
Question
Chapter 5.1, Problem 11E
Interpretation Introduction
Interpretation:
By using definitions of different types of stabilities, the stabilities of fixed points are to be proved.
Concept Introduction:
A fixed point
Liapunov Stable: A fixed point is Liapunov stable, if all the trajectories start sufficiently close to
When a fixed point is Liapunov stable, but not attracting is called neutrally stable. The nearby trajectories are neither attracted nor repelled from neutrally stable points.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
(3.3) Find the fixed points of the following dynamical system:
-+v +v, v= 0+v? +1,
and examine their stability.
: A parametric cubic curve passes through the points (0,1), (2.5), (3,5) (5,-3) which are parameterized at t=0.1, 0.3, 0.6 and 0.9 , respectively. Determine the geometric coefficient matrix and the slope of the curve when t-0.5.
Consider the discrete dynamical system xn+1 = Axn. Then lim Xn =
for which of the following?
0.5 .75
0.5
.75
(A) A =
(С) А —D
=
-2
0 -0.2
0.5
(В) А —
1.5
(D) A =
.75 -2
.75
-2
Chapter 5 Solutions
Nonlinear Dynamics and Chaos
Ch. 5.1 - Prob. 1ECh. 5.1 - Prob. 2ECh. 5.1 - Prob. 3ECh. 5.1 - Prob. 4ECh. 5.1 - Prob. 5ECh. 5.1 - Prob. 6ECh. 5.1 - Prob. 7ECh. 5.1 - Prob. 8ECh. 5.1 - Prob. 9ECh. 5.1 - Prob. 10E
Ch. 5.1 - Prob. 11ECh. 5.1 - Prob. 12ECh. 5.1 - Prob. 13ECh. 5.2 - Prob. 1ECh. 5.2 - Prob. 2ECh. 5.2 - Prob. 3ECh. 5.2 - Prob. 4ECh. 5.2 - Prob. 5ECh. 5.2 - Prob. 6ECh. 5.2 - Prob. 7ECh. 5.2 - Prob. 8ECh. 5.2 - Prob. 9ECh. 5.2 - Prob. 10ECh. 5.2 - Prob. 11ECh. 5.2 - Prob. 12ECh. 5.2 - Prob. 13ECh. 5.2 - Prob. 14ECh. 5.3 - Prob. 1ECh. 5.3 - Prob. 2ECh. 5.3 - Prob. 3ECh. 5.3 - Prob. 4ECh. 5.3 - Prob. 5ECh. 5.3 - Prob. 6E
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, advanced-math and related others by exploring similar questions and additional content below.Similar questions
- If the partial derivatives of A, B, U, and V are assumed to exist, then 1. V(U+ V) = VU + VV or grad (U+ V) = grad u+ grad V %3Darrow_forwardA Gaussian membership functions has a width of (1 2) and MF(X=2.5)-0.367. Calculate the center of the Gaussian MF where the membership within the range of (0-2).arrow_forwardNote: The following matrix represents the Jacobian at the equilibrium point .li ba] Use Jury Conditions to find the conditions on the parameter b so that the positive equilibrium is locally asymptoticaarrow_forward
- Classify the origin as an attractor, repeller, or saddle point of the dynamical system XK + 1 = Axk. Find the directions of greatest attraction and/or repulsion. A = 1.1 -0.4 - 1.2 0.9 Classify the origin as an attractor, repeller, or saddle point. Choose the correct answer below. O A. The origin is an attractor. O B. The origin is a saddle point. O C. The origin is a repeller.arrow_forward1. Classify the (0, 0) equilibrium of each of the following 2x2 sys- tems by type and stability: [2 -2-1 76¹7] X (1) (c) X'(t) = =arrow_forward2 Determine if the statements below are True or False. If it's True, explain why. If it's False explain why not, or simply give an example demonstrating why it's false. A correct choice of "True" or "False" with no explanation will not receive any credit. 2.1 If (x, y, z} is a linearly independent subset of R", then {x, x + y,x+ y+ z} is also linearly independent. 2.2 If (x, y} and {z, w} are both linearly independent sets in R", then {x, y,z, w} is also linearly independent.arrow_forward
- (b) Consider the discrete-time dynamical system in X = R given by the iteration of the map g(x) = 2x. Determine S,,x = g(x) and show that the map is not topologically transitive. 3 Turn over/arrow_forwardExample 7. Show that T: E² E2, defined by T((X1,2)) T((x₁, x₂)) = (x₁ + x2, 1 - ₂ + 1) (X1 is not linear lineararrow_forwardIf the partial derivatives of A, B. U, and Vare assumed to exist, then I. V(U + V) = VU + VV or grad (U+ )3grad u+ grad V 2. V (A +B) = V-A+V B or div (A + B) +div A + div B 3. Vx (A +B) = VxA+VxB or curl (A + B) = curlA+ curl B 4. V.(UA) = (VU) - A+ U(V A) 5. Vx (UA) = (VU) xA + U(V x A) 6. V.(A x B) = B (Vx A)-A (Vx B) 7. Vx (A x B) = (B V)A- B(V A)-(A V)B+ A(V B) 8. V(A B) (B V)A+ (A V)B+ Bx (Vx A) + A x (V x B) 9. V.(VU) = VU= is called the Laplacian of U. +. and V =. ar dyaz is called the Lapacian operator. 10. Vx (VU) =0. The curl of the gradient of U is zero, 11. V.(Vx A) = 0. The divergence of the curl of A is zero. 12. Vx (Vx A)= V(V. A)-V Aarrow_forward
- a) The root locus diagram for a linear feedback control system is shown in the figure below, from the figure below determine without using any stability criteria, The characteristic equation of the system The range of K for stability of the system The value of K at which the system is critically damped. 1. 2. 3. -0.132 -1arrow_forwardConsider the dynamical system Vk+1AV where 01 Vo -13- and A- 15 2 Find a formula in terms of k for the (1,1)-entry x of V. Be sure to include parentheses where necessary, e.g. to distinguish 1/(2k) from 1/2arrow_forwardConsider the dynamical system Vk+1 = AVk where 01 Vo [6] and A -8-6 Find a formula in terms of k for the (1,1)-entry x of Vk. Be sure to include parentheses where necessary, e.g. to distinguish 1/(2k) from 1/2k. xk = 0 = =arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
- Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:CengageCalculus For The Life SciencesCalculusISBN:9780321964038Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.Publisher:Pearson Addison Wesley,
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage
Calculus For The Life Sciences
Calculus
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:Pearson Addison Wesley,
Finite State Machine (Finite Automata); Author: Neso Academy;https://www.youtube.com/watch?v=Qa6csfkK7_I;License: Standard YouTube License, CC-BY
Finite State Machine (Prerequisites); Author: Neso Academy;https://www.youtube.com/watch?v=TpIBUeyOuv8;License: Standard YouTube License, CC-BY