1 / 14

MATRIKS

MATRIKS. Matriks Baris Matriks kolom Matriks Nol Matriks Bujur Sangkar Matriks Diagonal Matriks Satuan (I) Matriks Skalar Matriks Segitiga Atas Matriks Segitiga Bawah Matriks Simetris. Matriks Simetri Skew a ij = -a ji, dan diagonalnya nol Matriks Tridiagonal Matriks Transpose

kenley
Télécharger la présentation

MATRIKS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. MATRIKS

  2. Matriks Baris Matriks kolom Matriks Nol Matriks Bujur Sangkar Matriks Diagonal Matriks Satuan (I) Matriks Skalar Matriks Segitiga Atas Matriks Segitiga Bawah Matriks Simetris Matriks Simetri Skew aij = -aji, dan diagonalnya nol Matriks Tridiagonal Matriks Transpose Matriks Ortogonal Matriks bujur sangkar yg memenuhi [A][A]T = [A]T[A]=[ I ] Macam Matriks

  3. Determinants • Determinants are useful in eigenvalue problems and differential equations. • Can be found only for square matrices. • Simple example: 2nd order determinant

  4. 3rd order determinant • The determinant of a 3X3 matrix is found as follows: • The terms on the RHS can be evaluated as shown for a 2nd order determinant.

  5. Menghitung DeterminanMetode Chio

  6. Sifat-Sifat (Metode Chio) • Bila semua unsur dari suatu baris/kolom = nol, determinan = nol. • Harga determinan tidak berubah bila semua unsur baris diubah menjadi unsur kolom dan semua kolom menjadi baris. • Pertukaran tempat antara baris dengan baris atau antara kolom dengan kolom akan mengubah tanda determinan • Bila unsur-unsur baris/kolom dikalikan suatu faktor, maka determinan harus dikalikan juga. • Bila suatu matriks ada dua baris/ dua kolom yg identik maka determinannya = nol • Tanpa mengubah harga determinan semua unsur sebarang baris/kolom dapat dikalikan dgn sebuah faktor dan menambahkan atau mengurangkan dari sebarang baris/kolom

  7. Some theorems for determinants • Cramer’s: If the determinant of a system of n equations with n unknowns is nonzero, that system has precisely one solution. • det(AB)=det(BA)=det(A)det(B)

  8. Menghitung DeterminanMinor dan Kofaktor Penghitungan Determinan berdasar Ekspansi Baris ke-1

  9. Rank (Tingkat) Matriks • Jika det matriks ≠ 0, maka rank r = orde matriks (n). • Jika det matriks = 0, maka harus dilihat minor dari matrik tsb. Jika matriks bujursangkar di dalam determinan ≠ 0, maka rank =2. • Matriks bujur sangkar orde n dengan rank = n (det A≠0) disebut matiks non-singular. • Matriks zero memiliki rank = 0.

  10. Contoh Rank Matriks

  11. Matrix rank • The rank of a matrix is simply the number of independent row vectors in that matrix. • The transpose of a matrix has the same rank as the original matrix. • To find the rank of a matrix by hand, use Gauss elimination and the linearly dependant row vectors will fall out, leaving only the linearly independent vectors, the number of which is the rank.

  12. Invers Matriks • Menggunakan Eliminasi Gauss Invers Matrik A

  13. Penggunaan MatriksPenyelesaian Persamaan Linier • Metode Cramer • Metode Gauss Seidel • Menggunakan Invers Matriks • Ax=b. maka x=A-1b • Metode Gauss

  14. Sistem Persamaan Linier Homogen

More Related