- Page 2 and 3: Undergraduate Texts in Mathematics
- Page 4 and 5: J. David LoganA First Course inDiff
- Page 6 and 7: To David Russell Logan
- Page 8 and 9: viiiPreface to the Third Editionthi
- Page 10 and 11: ContentsPreface to the Third Editio
- Page 12 and 13: Contentsxiii5.4.1 PeriodicOrbits...
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72 1. First-Order Differential Equa
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74 1. First-Order Differential Equa
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76 1. First-Order Differential Equa
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2Second-Order Linear EquationsIn th
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2.1 Classical Mechanics 81we ignore
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2.1 Classical Mechanics 83oscillati
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2.2 Equations with Constant Coeffic
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2.2 Equations with Constant Coeffic
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2.2 Equations with Constant Coeffic
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2.2 Equations with Constant Coeffic
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2.2 Equations with Constant Coeffic
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2.2 Equations with Constant Coeffic
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2.2 Equations with Constant Coeffic
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2.2 Equations with Constant Coeffic
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2.3 Nonhomogeneous Equations 101whe
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2.3 Nonhomogeneous Equations 103(d)
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2.3 Nonhomogeneous Equations 105Exa
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2.3 Nonhomogeneous Equations 107and
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2.3 Nonhomogeneous Equations 10943.
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2.3 Nonhomogeneous Equations 1112.
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2.3 Nonhomogeneous Equations 113Thi
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2.3 Nonhomogeneous Equations 115x 1
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2.4 Equations with Variable Coeffic
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2.4 Equations with Variable Coeffic
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2.4 Equations with Variable Coeffic
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2.4 Equations with Variable Coeffic
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2.4 Equations with Variable Coeffic
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2.5 Higher-Order Equations* 127b) C
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2.5 Higher-Order Equations* 129mult
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2.6 Steady-State Heat Conduction* 1
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2.6 Steady-State Heat Conduction* 1
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2.6 Steady-State Heat Conduction* 1
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3Laplace TransformsIn this chapter
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3.1 Definition and Basic Properties
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3.1 Definition and Basic Properties
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3.1 Definition and Basic Properties
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3.1 Definition and Basic Properties
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3.2 Differential Equations 1473.2 D
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3.2 Differential Equations 149Figur
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3.2 Differential Equations 151for s
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3.2 Differential Equations 153Putti
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3.2 Differential Equations 155Examp
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3.2 Differential Equations 157e) 7s
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3.2 Differential Equations 15918. W
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3.3 The Convolution Property 161Rem
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3.3 The Convolution Property 1633.
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3.4 Impulsive Sources 165electrical
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3.4 Impulsive Sources 167In summary
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3.4 Impulsive Sources 169Next, we p
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3.4 Impulsive Sources 171Figure 3.8
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3.4 Impulsive Sources 1730.30.250.2
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3.4 Impulsive Sources 175x(t)Table
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178 4. Linear Systems4.1 Linear Sys
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180 4. Linear Systemswhere a, b, c,
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182 4. Linear Systems2.521.510.5y0
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184 4. Linear Systemsx, y21.510.50
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186 4. Linear SystemsRemark 4.7Note
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188 4. Linear SystemsThe Wronskian
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190 4. Linear SystemsEXERCISES1. Fi
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192 4. Linear SystemsExample 4.16Le
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194 4. Linear SystemsFor example,(
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196 4. Linear Systemswhich is the u
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198 4. Linear SystemsEXERCISES1. Le
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200 4. Linear SystemsTheorem 4.23Th
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202 4. Linear Systems4.3 The Eigenv
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204 4. Linear SystemsBefore present
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206 4. Linear SystemsThe characteri
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208 4. Linear SystemsIf the two eig
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210 4. Linear SystemsTherefore the
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212 4. Linear SystemsRemark 4.31If
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214 4. Linear SystemsHow do the orb
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216 4. Linear Systemsif the nonzero
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218 4. Linear Systemsa)b)( −1 10
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220 4. Linear Systems21.510.5y0−0
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222 4. Linear SystemsIf the repeate
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224 4. Linear SystemsTherefore the
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226 4. Linear SystemsThe following
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228 4. Linear SystemsFigure 4.14 A
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230 4. Linear SystemsFigure 4.16 (L
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232 4. Linear SystemsFigure 4.18 Gl
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234 4. Linear SystemsEasily, tr A =
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236 4. Linear Systems( ) 1 2a) x
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238 4. Linear SystemsFigure 4.22Two
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240 4. Linear Systemswhere we have
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242 4. Linear SystemsSubstitution i
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244 4. Linear Systems4. Consider th
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5Nonlinear SystemsThe first four ch
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5.1 Linearization 249Figure 5.1 (Le
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5.1 Linearization 251cases the line
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5.1 Linearization 253The first equa
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y5.1 Linearization 255x ’ = x −
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5.1 Linearization 257If we want orb
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5.2 Nonlinear Mechanics 25912. Comp
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5.2 Nonlinear Mechanics 261which is
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5.2 Nonlinear Mechanics 263the uppe
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5.2 Nonlinear Mechanics 265However,
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5.2 Nonlinear Mechanics 267Figure 5
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5.2 Nonlinear Mechanics 269shows. T
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5.2 Nonlinear Mechanics 271c) Using
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5.3 Applications 273the per capita
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5.3 Applications 275y ′ = y(−m
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5.3 Applications 277thereby eventua
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5.3 Applications 279Figure 5.14 Thr
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5.3 Applications 281The denominator
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5.3 Applications 2836. In the first
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5.3 Applications 28513. The dynamic
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5.3 Applications 287These are our w
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5.3 Applications 289See Figure 5.16
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5.3 Applications 291Figure 5.17 The
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5.3 Applications 293Figure 5.18 Tim
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5.3 Applications 295e) X → k1Y +
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5.3 Applications 297Figure 5.19 The
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5.3 Applications 299We show that th
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5.3 Applications 301Figure 5.21Diag
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5.4 Advanced Techniques 303We first
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5.4 Advanced Techniques 305Taking t
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5.4 Advanced Techniques 3073. Show
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5.5 Bifurcations 309a) Show that th
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5.5 Bifurcations 311Figure 5.23 A s
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5.5 Bifurcations 313This is an exam
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5.5 Bifurcations 315c) Define new i
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6Computation of SolutionsThe fact i
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6.1 Iteration* 319be too steep (its
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6.2 Numerical Methods 3212. Apply P
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6.2 Numerical Methods 323which is t
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6.2 Numerical Methods 3251.41.210.8
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6.2 Numerical Methods 327Example 6.
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6.3 Systems of Equations 3296.3 Sys
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6.3 Systems of Equations 3313. A po
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AReview and ExercisesThis supplemen
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A.1 Review Material 335• Exact eq
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A.1 Review Material 337g) x ′ =
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A.2 Supplementary Exercises 339H t
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A.2 Supplementary Exercises 34111.
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A.2 Supplementary Exercises 3436. F
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A.2 Supplementary Exercises 3455. S
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A.2 Supplementary Exercises 34712.
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BMATLAB R○ SupplementThere is gre
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B.1 Coding Algorithms for Different
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B.1 Coding Algorithms for Different
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B.2 MATLAB’s Built-in ODE Solvers
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B.3 Symbolic Solutions Using dsolve
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B.5 Examples 359321x0−1−2−3
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B.5 Examples 361sol = dsolve(’Dx=
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B.5 Examples 36310.50−0.5−10 5
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366 References8. B. R. Hunt, R. L.
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368 Indexeigenvalue problem, 202eig