basic mathematical session 2 course: s0912 - introduction to finite element method year: 2010
DESCRIPTION
Bina Nusantara MATRIX OPERATION BASIC OPERATION (REMINDER) Addition: Z = A + B; zij = aij + bij Substraction: Z = A - B; zij = aij - bij Multiplication and division of a matrix by a scalar zij = c*aij zij = (1/c)*aij Multiplication: Z = A*B, if # columns in A = # rows in B; zij = ai1* b1j + ai2* b2j + ai3* b3j +... aim* bnj Transpose Operation Inverse OperationTRANSCRIPT
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BASIC MATHEMATICALSession 2
Course : S0912 - Introduction to Finite Element MethodYear : 2010
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Bina Nusantara
COURSE 2
Content:• Matrix• Vector Space• Basic Tensor
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Bina Nusantara
MATRIX OPERATIONBASIC OPERATION (REMINDER)• Addition:
Z = A + B; zij = aij + bij • Substraction:
Z = A - B; zij = aij - bij • Multiplication and division of a matrix by a scalar
zij = c*aijzij = (1/c)*aij
• Multiplication: Z = A*B, if # columns in A = # rows in B; zij = ai1* b1j + ai2* b2j + ai3* b3j + ... aim* bnj
• Transpose Operation
• Inverse Operation
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Bina Nusantara
MATRIX OPERATIONBASIC OPERATION (REMINDER)• Determinant:
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Bina Nusantara
MATRIX OPERATIONBASIC OPERATION (REMINDER)• Determinant:
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Bina Nusantara
MATRIX OPERATION
Eigenvector & Eigenvalue:
Let A be a complex square matrix. Then if is a complex number and X a non–zero complex column vector satisfying AX = X, we call X an eigenvector of A, while is called an eigenvalue of A. We also say that X is an eigenvector corresponding to the eigenvalue .
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Bina Nusantara
MATRIX OPERATION
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Bina Nusantara
MATRIX OPERATION
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Bina Nusantara
VECTOR SPACE• A vector space is a mathematical structure formed by a collection of vectors: objects that may be added together and multiplied ("scaled") by numbers.• Vector spaces are the subject of linear algebra and are well understood from this point of view, since vector spaces are characterized by their dimension
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Bina Nusantara
VECTOR SPACE
• A vector space is a set that is closed under finite vector addition and scalar multiplication. The basic example is -dimensional Euclidean space , where every element is represented by a list of real numbers, scalars are real numbers, addition is componentwise, and scalar multiplication is multiplication on each term separately.
• For a general vector space, the scalars are members of a field , in which case is called a vector space over .
• Euclidean -space is called a real vector space, and is called a complex vector space.
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Bina Nusantara
VECTOR SPACESeveral operation of vector space in order of X,Y,Z in V and any scalars r,s in F:
1. Commutativity: X+Y=Y+X.
2. Associativity of vector addition: (X+Y)+Z=X+(Y+Z).
3. Additive identity: For all X, 0+X=X+0=X.
4. Existence of additive inverse: For any X, there exists a -X such thatX+(-X)=0.
5. Associativity of scalar multiplication: r(sX)=(rs)X.
6. Distributivity of scalar sums: (r+s)X=rX+sX.
7. Distributivity of vector sums: r(X+Y)=rX+rY.
8. Scalar multiplication identity: 1X=X.
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Bina Nusantara
VECTOR SPACE
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Bina Nusantara
BASIC TENSOR
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Bina Nusantara
BASIC TENSOR
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Bina Nusantara
BASIC TENSOR
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Bina Nusantara
BASIC TENSOR