±¹³»µµ¼
Àü°øµµ¼/´ëÇб³Àç
ÀÚ¿¬°úÇаè¿
¼öÇÐ
Á¤°¡ |
25,000¿ø |
---|
25,000¿ø
1,250P (5%Àû¸³)
ÇÒÀÎÇýÅÃ | |
---|---|
Àû¸³ÇýÅà |
|
|
|
Ãß°¡ÇýÅÃ |
|
À̺¥Æ®/±âȹÀü
¿¬°üµµ¼
»óÇ°±Ç
ÀÌ»óÇ°ÀÇ ºÐ·ù
Ã¥¼Ò°³
ÇкλýµéÀ» À§ÇÑ ¼±Çü´ë¼öÇÐ ±³Àç ¡º¼±Çü´ë¼ö¿Í ±º¡». Çà·Ä°ú º¤ÅÍ°ø°£, ¼±Çü»ç»ó, ±º, ºÐÇØÁ¤¸® µîÀÇ ³»¿ëÀ¸·Î ±¸¼ºµÇ¾úÀ¸¸ç ¿¬½À¹®Á¦¸¦ º»¹® ¾È¿¡ ±×´ë·Î ³ì¿©³½ Çü½ÄÀ» ¶ç°í ÀÖ´Ù.
ÃâÆÇ»ç ¼Æò
°³Á¤ÆÇ¿¡¼´Â ³í¸®ÀûÀ¸·Î ¿Ïº®ÇÏÁö ¸øÇÑ ºÎºÐÀ» º¸°ÇÏ¿´°í Ã¥¿¡´Â ¾øÀ¸³ª ½ÇÁ¦ °ÀÇ ¶§ ¾ð±ÞµÈ ¼³¸íÀ» Ãß°¡ÇÏ¿´´Ù. ƯÈ÷ ¡× 5.5ÀÇ ³»¿ëÀ» ¸¹ÀÌ º¸¿ÏÇÏ¿´°í ±âÁ¸¿¡ µ¶ÀÚµéÀÇ ¿äû¿¡ µû¶ó ¿¬½À¹®Á¦¸¦ º¸°ÇÏ¿´´Ù. Çà °£¼Ò »ç´Ù¸® ²ÃÀÇ À¯ÀϼºÀº ´õ ±âÃÊÀûÀÎ Áõ¸íÀ¸·Î ´ëüÇÏ¿© ¡× 3.8·Î ¿Å°å´Ù. ¶Ç ÃÊÆÇ Á¦13ÀåÀÇ triangularizationµµ matrix size¿¡ °üÇÑ ±Í³³¹ý Áõ¸íÀ¸·Î ´ëüÇÏ¿© ¡× 7.3À¸·Î ¿Å°å°í, ÇкΠ2Çг⠼öÁØ¿¡ ÀûÇÕÇÏÁö ¾Ê¾Æ¼ ½ÇÁ¦ °ÀÇ¿¡¼µµ »ý·«Çß´ø ÃÊÆÇÀÇ ¡×15.4(¡°¿Ö nondegenerateÀÎ °æ¿ì¸¸?¡±)´Â »èÁ¦ÇÏ¿´´Ù.
¸ñÂ÷
¸Ó¸®¸»
°³Á¤ÆÇ ¸Ó¸®¸»
Á¦1Àå Çà·Ä°ú Gauss ¼Ò°Å¹ý
1.1. Matrix
1.2. Gaussian Elimination
1.3. Elementary Matrix
1.4. Equivalence Class¿Í Partition
Á¦2Àå º¤ÅÍ°ø°£
2.1. Vector Space
2.2. Subspace
2.3. Vector SpaceÀÇ º¸±â
2.4. Isomorphism
Á¦3Àå ±âÀú¿Í Â÷¿ø
3.1. Linear Combination
3.2. ÀÏÂ÷µ¶¸³°ú ÀÏÂ÷Á¾¼Ó
3.3. Vector SpaceÀÇ Basis
3.4. BasisÀÇ Á¸Àç
3.5. Vector SpaceÀÇ Dimension
3.6. ¿ì¸®ÀÇ Ã¶ÇÐ
3.7. DimensionÀÇ º¸±â
3.8. Row-reduced Echelon Form
Á¦4Àå ¼±Çü»ç»ó
4.1. Linear Map
4.2. Linear MapÀÇ º¸±â
4.3. Linear Extension Theorem
4.4. Dimension Theorem
4.5. Rank Theorem
Á¦5Àå ±âº»Á¤¸®
5.1. Vector Space of Linear Maps
5.2. ±âº»Á¤¸®: Ç¥ÁرâÀúÀÇ °æ¿ì
5.3. ±âº»Á¤¸®: ÀϹÝÀûÀÎ °æ¿ì
5.4. ±âº»Á¤¸®ÀÇ °á°ú¿Í ¿ì¸®ÀÇ Ã¶ÇÐ
5.5. Change of Bases
5.6. Similarity Relation
Á¦6Àå Çà·Ä½Ä
6.1. Alternating Multilinear Form
6.2. Symmetric Group
6.3. DeterminantÀÇ Á¤ÀÇ I
6.4. DeterminantÀÇ ¼ºÁú
6.5. DeterminantÀÇ Á¤ÀÇ II
6.6. Cramer¡¯s Rule
6.7. Adjoint Matrix
Á¦7Àå Ư¼º´ÙÇ׽İú ´ë°¢È
7.1. Eigen-vector¿Í Eigen-value
7.2. Diagonalization
7.3. Triangularization
7.4. Cayley-Hamilton Theorem
7.5. Minimal Polynomial
7.6. Direct Sum°ú Eigen-space
Decomposition
Á¦8Àå ºÐÇØÁ¤¸®
8.1. Polynomial
8.2. T-Invariant Subspace
8.3. Primary Decomposition Theorem
8.4. Diagonalizability
8.5. T-Cyclic Subspace
8.6. Cyclic Decomposition Theorem
8.7. Jordan Canonical Form
Á¦9Àå RnÀÇ Rigid Motion 241
9.1. Rn-°ø°£ÀÇ Dot Product
9.2. Rn-°ø°£ÀÇ Rigid Motion
9.3. Orthogonal Operator / Matrix
9.4. Reflection
9.5. O(2)¿Í SO(2)
9.6. SO(3)¿Í SO(n)
Á¦10Àå ³»Àû °ø°£
10.1. Inner Product Space
10.2. Inner Product SpaceÀÇ ¼ºÁú
10.3. Gram-Schmidt Orthogonalization
10.4. Standard Basis Óß Orthonormal Basis
10.5. Inner Product SpaceÀÇ Isomorphism
10.6. Orthogonal Group°ú Unitary Group
10.7. Adjoint Matrix¿Í ±× ÀÀ¿ë
Á¦11Àå ±º
11.1. Binary Operation°ú Group
11.2. GroupÀÇ Ãʺ¸Àû ¼ºÁú
11.3. Subgroup
11.4. ÇкΠ´ë¼öÇÐÀÇ Úâ
11.5. Group Isomorphism
11.6. Group Homomorphism
11.7. Cyclic Group
11.8. Group°ú HomomorphismÀÇ º¸±â
11.9. Linear Group
Á¦12Àå Quotient
12.1. Coset
12.2. Normal Subgroup°ú Quotient Group
12.3. Quotient Space
12.4. Isomorphism Theorem
12.5. Triangularization II
Á¦13Àå Bilinear Form
13.1. Bilinear Form
13.2. Quadratic Form
13.3. Orthogonal Group°ú Symplectic Group
13.4. O(1, 1)°ú O(3, 1)
13.5. Non-degenerate Bilinear Form
13.6. Dual Space¿Í Dual Map
13.7. Duality
13.8. B-Identification
13.9. Transpose Operator
Á¦14Àå Hermitian Form
14.1. Hermitian Form
14.2. Non-degenerate Hermitian Form
14.3. H-Identification°ú Adjoint Operator
Á¦15Àå Spectral Theorem
15.1. Ç¥±â¹ý°ú ¿ë¾î
15.2. Normal Operator
15.3. Symmetric Operator
15.4. Orthogonal Operator
15.5. Epilogue
Á¦16Àå Topology ¸Àº¸±â
16.1. Matrix Group Isomorphism
16.2. Compactness¿Í Connectedness
Âü°í ¹®Çå
Ç¥±â¹ý ã¾Æº¸±â
ã¾Æº¸±â
ÁÖ°£·©Å·
´õº¸±â»óÇ°Á¤º¸Á¦°ø°í½Ã
À̺¥Æ® ±âȹÀü
ÀÌ »óÇ°ÀÇ ½Ã¸®Áî
(ÃÑ 1±Ç / ÇöÀ籸¸Å °¡´Éµµ¼ 1±Ç)
Àü°øµµ¼/´ëÇб³Àç ºÐ¾ß¿¡¼ ¸¹Àº ȸ¿øÀÌ ±¸¸ÅÇÑ Ã¥
ÆǸÅÀÚÁ¤º¸
»óÈ£ |
(ÁÖ)±³º¸¹®°í |
---|---|
´ëÇ¥ÀÚ¸í |
¾Èº´Çö |
»ç¾÷ÀÚµî·Ï¹øÈ£ |
102-81-11670 |
¿¬¶ôó |
1544-1900 |
ÀüÀÚ¿ìÆíÁÖ¼Ò |
callcenter@kyobobook.co.kr |
Åë½ÅÆǸž÷½Å°í¹øÈ£ |
01-0653 |
¿µ¾÷¼ÒÀçÁö |
¼¿ïƯº°½Ã Á¾·Î±¸ Á¾·Î 1(Á¾·Î1°¡,±³º¸ºôµù) |
±³È¯/ȯºÒ
¹ÝÇ°/±³È¯ ¹æ¹ý |
¡®¸¶ÀÌÆäÀÌÁö > Ãë¼Ò/¹ÝÇ°/±³È¯/ȯºÒ¡¯ ¿¡¼ ½Åû ¶Ç´Â 1:1 ¹®ÀÇ °Ô½ÃÆÇ ¹× °í°´¼¾ÅÍ(1577-2555)¿¡¼ ½Åû °¡´É |
---|---|
¹ÝÇ°/±³È¯°¡´É ±â°£ |
º¯½É ¹ÝÇ°ÀÇ °æ¿ì Ãâ°í¿Ï·á ÈÄ 6ÀÏ(¿µ¾÷ÀÏ ±âÁØ) À̳»±îÁö¸¸ °¡´É |
¹ÝÇ°/±³È¯ ºñ¿ë |
º¯½É ȤÀº ±¸¸ÅÂø¿À·Î ÀÎÇÑ ¹ÝÇ°/±³È¯Àº ¹Ý¼Û·á °í°´ ºÎ´ã |
¹ÝÇ°/±³È¯ ºÒ°¡ »çÀ¯ |
·¼ÒºñÀÚÀÇ Ã¥ÀÓ ÀÖ´Â »çÀ¯·Î »óÇ° µîÀÌ ¼Õ½Ç ¶Ç´Â ÈÑ¼ÕµÈ °æ¿ì ·¼ÒºñÀÚÀÇ »ç¿ë, Æ÷Àå °³ºÀ¿¡ ÀÇÇØ »óÇ° µîÀÇ °¡Ä¡°¡ ÇöÀúÈ÷ °¨¼ÒÇÑ °æ¿ì ·º¹Á¦°¡ °¡´ÉÇÑ »óÇ° µîÀÇ Æ÷ÀåÀ» ÈѼÕÇÑ °æ¿ì ·½Ã°£ÀÇ °æ°ú¿¡ ÀÇÇØ ÀçÆǸŰ¡ °ï¶õÇÑ Á¤µµ·Î °¡Ä¡°¡ ÇöÀúÈ÷ °¨¼ÒÇÑ °æ¿ì ·ÀüÀÚ»ó°Å·¡ µî¿¡¼ÀÇ ¼ÒºñÀÚº¸È£¿¡ °üÇÑ ¹ý·üÀÌ Á¤ÇÏ´Â ¼ÒºñÀÚ Ã»¾àöȸ Á¦ÇÑ ³»¿ë¿¡ ÇØ´çµÇ´Â °æ¿ì |
»óÇ° Ç°Àý |
°ø±Þ»ç(ÃâÆÇ»ç) Àç°í »çÁ¤¿¡ ÀÇÇØ Ç°Àý/Áö¿¬µÉ ¼ö ÀÖÀ½ |
¼ÒºñÀÚ ÇÇÇغ¸»ó |
·»óÇ°ÀÇ ºÒ·®¿¡ ÀÇÇÑ ±³È¯, A/S, ȯºÒ, Ç°Áúº¸Áõ ¹× ÇÇÇغ¸»ó µî¿¡ °üÇÑ »çÇ×Àº¼ÒºñÀÚºÐÀïÇØ°á ±âÁØ (°øÁ¤°Å·¡À§¿øȸ °í½Ã)¿¡ ÁØÇÏ¿© ó¸®µÊ ·´ë±Ý ȯºÒ ¹× ȯºÒÁö¿¬¿¡ µû¸¥ ¹è»ó±Ý Áö±Þ Á¶°Ç, ÀýÂ÷ µîÀº ÀüÀÚ»ó°Å·¡ µî¿¡¼ÀǼҺñÀÚ º¸È£¿¡ °üÇÑ ¹ý·ü¿¡ µû¶ó ó¸®ÇÔ |
(ÁÖ)ÀÎÅÍÆÄÅ©Ä¿¸Ó½º´Â ȸ¿ø´ÔµéÀÇ ¾ÈÀü°Å·¡¸¦ À§ÇØ ±¸¸Å±Ý¾×, °áÁ¦¼ö´Ü¿¡ »ó°ü¾øÀÌ (ÁÖ)ÀÎÅÍÆÄÅ©Ä¿¸Ó½º¸¦ ÅëÇÑ ¸ðµç °Å·¡¿¡ ´ëÇÏ¿©
(ÁÖ)KGÀ̴Ͻýº°¡ Á¦°øÇÏ´Â ±¸¸Å¾ÈÀü¼ºñ½º¸¦ Àû¿ëÇÏ°í ÀÖ½À´Ï´Ù.
¹è¼Û¾È³»
±³º¸¹®°í »óÇ°Àº Åùè·Î ¹è¼ÛµÇ¸ç, Ãâ°í¿Ï·á 1~2Àϳ» »óÇ°À» ¹Þ¾Æ º¸½Ç ¼ö ÀÖ½À´Ï´Ù.
Ãâ°í°¡´É ½Ã°£ÀÌ ¼·Î ´Ù¸¥ »óÇ°À» ÇÔ²² ÁÖ¹®ÇÒ °æ¿ì Ãâ°í°¡´É ½Ã°£ÀÌ °¡Àå ±ä »óÇ°À» ±âÁØÀ¸·Î ¹è¼ÛµË´Ï´Ù.
±ººÎ´ë, ±³µµ¼Ò µî ƯÁ¤±â°üÀº ¿ìü±¹ Åù踸 ¹è¼Û°¡´ÉÇÕ´Ï´Ù.
¹è¼Ûºñ´Â ¾÷ü ¹è¼Ûºñ Á¤Ã¥¿¡ µû¸¨´Ï´Ù.