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Page vi, fifth line of section 2.4 entry.

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Pages vi and viii.

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Page 7, second line of Example 0.7.

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Page 11, lower half of page.

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Page 18, first line of Example 0.19.

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Page 27, Problem 0.13.

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Page 44, third line from bottom.

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Page 90, Problem 1.51, third line.

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Erratum corrected 4/6/16 by Peter Landweber of Rutgers University.

Page 92, Problem 1.64.

Parts b and d should have stars to indicate their difficulty.

Page 93, Problem 1.68, line 2.

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Page 93, Problem 1.73.

Move this problem to Chapter 2.

Page 95, Solution to 1.4b.

In the figure at the top of the page, the rightmost horizontal arrow labeled

Page 109, second paragraph of proof of Theorem 2.9.

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Page 112, third line of third paragraph after Figure 2.12.

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Page 115, line 5 of Example 2.16.

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Page 119, sixth line from bottom.

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Page 124, paragraph before Corollary 2.32.

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Page 128, third paragraph of Example 2.36.

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Page 132, Lemma 2.41, last line of proof idea.

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Page 132, proof of Lemma 2.41, third line.

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Page 132, proof of Lemma 2.41, eighth line.

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Page 132, proof of Lemma 2.41, third paragraph.

Sixth line: add

Seventh line: add

Erratum corrected 4/6/16 by Peter Landweber of Rutgers University and 6/28/16 by Giacomo Tazzari.

Page 132, proof of Lemma 2.41, last paragraph.

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Page 133, third line of proof of Theorem 2.42.

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Page 133, second paragraph of the proof of Theorem 2.42.

To fix a bug in this proof, add the following two blocks of text.

1. In the sentence beginning

2. Before the sentence beginning

Page 135, ninth line.

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Page 139, seventh line of the second to last paragraph.

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Page 141, first line of proof of Lemma 2.48.

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Page 144, third sentence of third paragraph of proof.

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Page 146, Figure 2.56.

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Page 154, proof idea of Lemma 2.67, second line.

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Page 159, Problem 2.54.

The grammar G shown in the text is not a DCFL and it fails the DK-test.

Use the following grammar instead of G.

S → T⊣

T → TaPb | TbMa | ε

P → PaPb | ε

M → MbMa | ε

Page 161, Solution to 2.8.

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Page 161, last word of the solution to Problem 2.8.

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Page 172, Figure 3.8.

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Page 173, Figure 3.10.

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Page 179, proof of Theorem 3.16, stage 2 of algorithm D.

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and 11/3/13 by Ulit Jaidee of Lehigh University.

Page 191, Solution to 3.16, last sentence.

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Page 202, second line of the Diagonalization Method section.

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Page 212, Problem 4.28.

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Page 212, Problem 4.31.

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Page 213, Solution 4.5.

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Erratum corrected 8/24/22 by Fujioka Atsushi of Kanagawa University.

Page 214, eighth line of Solution to 4.23.

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Page 221, Definition 5.6.

This definition of LBA implies that the tape is completely empty when the input is ε and then the machine is unable to move. This technical issue can be fixed in multiple ways, such as by adding a blank symbol after each input string or by treating ε as a special case input which the machine is designated to accept or reject.

Page 226, last line of second paragraph.

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Page 236, line 8.

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Page 242, Problem 5.36 part a.

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Page 242, last four lines.

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Page 249, fourth line after Figure 6.4.

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Page 253, third paragraph, fourth line.

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Erratum corrected 4/6/16 by Peter Landweber of Rutgers University.

Page 259, lines 4 and 2 from bottom.

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Page 271, Problem 6.28c.

Should be marked as having the solution provided in the text.

Erratum corrected 4/6/16 by Peter Landweber of Rutgers University.

Page 277, last line.

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Page 312, eighth line from bottom.

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Page 328, Problem 7.49.

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Page 328, Problem 7.52.

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Page 329, Solution to 7.16.

Add a new stage

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Page 336, footnote.

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Page 350, Example 8.19, third line.

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Page 369, Proof of the Time Hierarchy Theorem 9.10.

The proof requires some additional technical discussion at one place. In Stage 4 of D, it simulates M on w. This simulation may require representing each cell of M's tape with several cells on D's tape because M's tape alphabet is arbitrary and D's tape alphabet is fixed. However, initializating the simulation by converting D's input w to this representation involves rewriting w so that its symbols are spread apart by several cells. If we use the obvious copying procedure for spreading w, this conversion would involve O(n^2) time and that would exceed the O(t(n)) time bound for small t.

Instead, we observe that D operates on inputs w of the form x10^k where x = ‹M›, and we only need to carry out the simulation when k is large. We consider only k > |x|^2. We can spread w by first using the obvious copying procedure for x and then counting trailing 0s and rewriting these by using that count. The time for spreading x is O(|x|^2) which is O(n). The time for counting the 0s is O(n log n) which is O(t(n)) because t is time constructible.

Page 378-379, proof of Theorem 9.20.

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Page 440, Problems 10.17 and 10.18, first line of each.

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Page 447, reference 76.

Page 443, reference 8.

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Page 445, reference 43.

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Page 446, Reference 66.

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Page 447, item 73, and page 457, right column, sixth line.

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Page 453, index.

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