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Lax equivalence theorem

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function. However, consistency—the requirement that the finite difference method approximates the correct partial differential equation—is straightforward to verify, and stability is typically much easier to show than convergence (and would be needed in any event to show that
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The importance of the theorem is that while the convergence of the solution of the finite difference method to the solution of the partial differential equation is what is desired, it is ordinarily difficult to establish because the numerical method is defined by a
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is substituted for convenience, although von Neumann stability only implies Lax–Richtmyer stability in certain cases.
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will not destroy the computation). Hence convergence is usually shown via the Lax equivalence theorem.
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Lax, P. D.; Richtmyer, R. D. (1956). "Survey of the Stability of Linear Finite Difference Equations".
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Numerical Solution of Partial Differential Equations: Finite Difference Methods
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Finite Difference Schemes and Partial Differential Equations
135:(1st ed.). Chapman & Hall. pp. 26, 222. 95:, called (practical) Lax–Richtmyer stability. Often a 164:(3rd ed.). Oxford University Press. pp.  283: 91:of the matrix used in the iteration is at most 266: 188: 35:is a fundamental theorem in the analysis of 273: 259: 130: 87:Stability in this context means that a 14: 284: 155: 225: 24: 25: 313: 292:Numerical differential equations 229: 47:finite difference method for a 182: 149: 124: 97:von Neumann stability analysis 41:partial differential equations 39:for the numerical solution of 13: 1: 117: 106:. It is sometimes called the 245:. You can help Knowledge by 131:Strikwerda, John C. (1989). 7: 10: 318: 224: 302:Applied mathematics stubs 37:finite difference methods 102:This theorem is due to 43:. It states that for a 33:Lax equivalence theorem 241:-related article is a 204:10.1002/cpa.3160090206 192:Comm. Pure Appl. Math. 110:, after Peter Lax and 156:Smith, G. D. (1985). 108:Lax–Richtmyer theorem 73:differential equation 59:if and only if it is 53:initial value problem 18:Lax-Richtmyer theorem 297:Theorems in analysis 239:applied mathematics 112:Robert D. Richtmyer 69:recurrence relation 29:numerical analysis 254: 253: 16:(Redirected from 309: 275: 268: 261: 233: 226: 216: 215: 186: 180: 179: 163: 153: 147: 146: 128: 55:, the method is 21: 317: 316: 312: 311: 310: 308: 307: 306: 282: 281: 280: 279: 222: 220: 219: 187: 183: 176: 154: 150: 143: 129: 125: 120: 82:round-off error 23: 22: 15: 12: 11: 5: 315: 305: 304: 299: 294: 278: 277: 270: 263: 255: 252: 251: 234: 218: 217: 198:(2): 267–293. 181: 174: 148: 141: 122: 121: 119: 116: 77:differentiable 9: 6: 4: 3: 2: 314: 303: 300: 298: 295: 293: 290: 289: 287: 276: 271: 269: 264: 262: 257: 256: 250: 248: 244: 240: 235: 232: 228: 227: 223: 213: 209: 205: 201: 197: 194: 193: 185: 177: 175:0-19-859641-3 171: 167: 162: 161: 152: 144: 142:0-534-09984-X 138: 134: 127: 123: 115: 113: 109: 105: 100: 98: 94: 90: 85: 83: 78: 74: 70: 64: 62: 58: 54: 50: 46: 42: 38: 34: 30: 19: 247:expanding it 236: 221: 195: 190: 184: 159: 151: 132: 126: 107: 101: 86: 65: 32: 26: 89:matrix norm 75:involves a 286:Categories 118:References 71:while the 57:convergent 49:well-posed 45:consistent 104:Peter Lax 212:0079204 51:linear 210:  172:  139:  61:stable 31:, the 237:This 168:–68. 93:unity 243:stub 170:ISBN 137:ISBN 200:doi 27:In 288:: 208:MR 206:. 166:67 114:. 63:. 274:e 267:t 260:v 249:. 214:. 202:: 196:9 178:. 145:. 20:)

Index

Lax-Richtmyer theorem
numerical analysis
finite difference methods
partial differential equations
consistent
well-posed
initial value problem
convergent
stable
recurrence relation
differential equation
differentiable
round-off error
matrix norm
unity
von Neumann stability analysis
Peter Lax
Robert D. Richtmyer
ISBN
0-534-09984-X
Numerical Solution of Partial Differential Equations: Finite Difference Methods
67
ISBN
0-19-859641-3
Comm. Pure Appl. Math.
doi
10.1002/cpa.3160090206
MR
0079204
Stub icon

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