Linear and multilinear algebra; matrix theory Proof
Proof that the eigenvalues are the roots of the characteristic polynomial
Builds on EigenvalueCharacteristic polynomial of a linear mapCharacteristic polynomialMatrix of a linear mapLeibniz formula for determinantsEvaluation homomorphismA linear map is injective iff its kernel is trivialKernel of a linear mapAn injective endomorphism of a finite-dimensional space is surjectiveIsomorphism with the coordinate spaceMatrix of a composition is the product of matricesA matrix is invertible iff its determinant is a unitInvertible matrixCharacteristic polynomial does not depend on the basis
Proof
We show that both conditions say that the map is not injective.
- Let . The characteristic polynomial of needs , so let . Fix a basis of .
- Let be the matrix of . By the definition and the invariance under change of basis, .
- Let and . Since , column of is column of . So .
- Let be the evaluation homomorphism at . It maps each entry of to the same entry of .
- By the Leibniz formula, is a sum of products of entries of , with signs .
- A ring homomorphism preserves sums, products and signs. So by step 5 and the Leibniz formula for , .
- By the definition of an eigenvalue, is an eigenvalue of if and only if for some .
- So is an eigenvalue if and only if the kernel of is not . By the kernel criterion, this holds if and only if is not injective.
- Suppose is not injective. Take with , and suppose that is invertible with inverse .
- By the definition of the matrix of a linear map, . So .
- The map is injective, by the isomorphism with the coordinate space. So , which contradicts step 9. Hence is not invertible.
- By the determinant criterion for invertibility over a field, .
- Now suppose is injective. Since is finite-dimensional, is bijective. Let be its inverse map.
- The map is linear: for and , . Applying gives .
- The matrix of in is , since . By the rule for the matrix of a composition, and .
- So is invertible. By the determinant criterion, is a unit of , so .
- By steps 8, 12 and 16, is an eigenvalue of if and only if .
- By step 6, this holds if and only if .
Idea
The scalar is an eigenvalue exactly when kills a nonzero vector. In finite dimensions this happens exactly when the matrix is not invertible, that is, when its determinant is . That determinant is the characteristic polynomial evaluated at .
Reading path
To understand this page from the ground up, read these 218 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof of the associativity of matrix multiplication, Proof that a subspace of full dimension is the whole space, Proof of the decomposition of a permutation into transpositions, Proof that the symmetric group is generated by transpositions, Proof of the Laplace expansion along a column by transposition, Proof of the commutativity of addition by induction, Proof that equivalence classes form a partition, Proof of the distributivity of matrix multiplication, Proof that the matrix of a composition is the product of the matrices, Proof that the determinant is multiplicative by expanding the rows, Proof that permuting rows multiplies the determinant by the sign, Proof that disjoint cycles commute, Proof that a matrix is invertible iff its determinant is a unit, Proof that a function is bijective iff it has a two-sided inverse, Proof that a matrix with two equal rows has determinant zero, Proof of the Laplace expansion along a row by the Leibniz formula, Proof that the coordinate map is a linear isomorphism, Proof of strong induction from ordinary induction, Proof that the determinant of a transpose equals the determinant, Proof of the laws of exponents in a group, Proof of the inverse in terms of the adjugate, Proof that an injective endomorphism of a finite-dimensional space is surjective, Proof that an intersection of subgroups is a subgroup, Proof that the sign is a homomorphism, Proof of the determinant of the inverse, Proof that the determinant of the identity matrix is one, Proof that a linear map is injective iff its kernel is trivial, Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of Zorn's lemma, Proof of the decomposition of a permutation into disjoint cycles, Proof of the product of a matrix and its adjugate by Laplace expansion, Proof of the well-ordering principle from strong induction, Proof that n independent or n spanning vectors in an n-dimensional space form a basis, Proof of the division algorithm, Proof of the sign of a cycle, Proof of the Leibniz formula from the defining properties of the determinant, Proof of the uniqueness of inverses, Proof that a subspace of a finite-dimensional space has smaller or equal dimension, Proof that the determinant is multilinear in the rows, Proof of the rank–nullity theorem by extending a basis of the kernel, Proof of the subgroup criterion, Proof that similar matrices have the same characteristic polynomial.
- Basis concept
- Binary operation definition
- Composition of linear maps concept
- Coordinate space object
- Coordinate vector concept
- Cycle notation concept
- Definition by recursion concept
- Dimension concept
- Divisibility definition
- Element definition
- Group concept
- Identity matrix object
- Image of a linear map concept
- Kernel of a linear map concept
- Linear independence concept
- Linear isomorphism concept
- Linear map concept
- Linear subspace concept
- Mathematical induction concept
- Matrix definition
- Matrix multiplication concept
- Matrix of a linear map concept
- Multilinear map concept
- Natural numbers object
- Nullity concept
- Peano axioms concept
- Permutation concept
- Permutation definition
- Proof of Zorn's lemma proof
- Proposition concept
- Rank of a linear map concept
- Spanning set concept
- Transposition concept
- Vector space definition
- Identity element definition
- Set definition
- Group homomorphism definition
- Ring definition
- Subgroup definition
- Symmetric group definition
- Proof that the matrix of a composition is the product of the matrices proof
- Proof that a linear map is injective iff its kernel is trivial proof
- Matrix addition definition
- Matrix multiplication definition
- Square matrix definition
- Transpose definition
- Successor function definition
- Conjunction definition
- Disjunction definition
- Implication definition
- Predicate definition
- Linear combination definition
- Linear map definition
- Linear subspace definition
- Inverse element definition
- Empty set object
- Family of sets definition
- Ordered pair definition
- Polynomial ring definition
- Ring homomorphism definition
- Unit of a ring definition
- Transposition definition
- Proof of the associativity of matrix multiplication proof
- Proof of the distributivity of matrix multiplication proof
- Proof that an intersection of subgroups is a subgroup proof
- Intersection definition
- Union definition
- Set-builder notation concept
- Invertible matrix definition
- Addition of natural numbers definition
- Biconditional definition
- Existential quantifier definition
- Universal quantifier definition
- Linear independence definition
- Composition of linear maps definition
- Endomorphism definition
- Image of a linear map definition
- Kernel of a linear map definition
- Linear isomorphism definition
- Linear span definition
- Multilinear map definition
- The successor function is injective statement
- Zero is not a successor statement
- Cartesian product definition
- Polynomial evaluation definition
- Proof of the uniqueness of inverses proof
- Disjoint sets definition
- Associativity of matrix multiplication statement
- Distributivity of matrix multiplication statement
- Union of a family of sets definition
- Subset definition
- Axiom of extensionality statement
- Similar matrices definition
- Proof of the commutativity of addition by induction proof
- A linear map is injective iff its kernel is trivial statement
- Uniqueness quantifier definition
- Order on the natural numbers definition
- Eigenvalue definition
- Spanning set definition
- Alternating multilinear map definition
- Evaluation homomorphism definition
- Binary relation definition
- Uniqueness of inverses statement
- Partition of a set definition
- Determinant definition
- Commutativity of addition statement
- Finite-dimensional vector space definition
- Basis definition
- Proof of strong induction from ordinary induction proof
- Proof of the Steinitz exchange lemma by induction proof
- Antisymmetric relation definition
- Reflexive relation definition
- Symmetric relation definition
- Transitive relation definition
- Proof that a matrix with two equal rows has determinant zero proof
- Proof of the subgroup criterion proof
- Proof of the laws of exponents in a group proof
- Dimension definition
- Function definition
- Characteristic polynomial definition
- Coordinate vector definition
- Dimension theorem for vector spaces statement
- Proof that the determinant of the identity matrix is one proof
- Minor definition
- Proof that the determinant is multilinear in the rows proof
- Strong induction statement
- Steinitz exchange lemma statement
- Equivalence relation definition
- Preorder definition
- Determinant of a matrix with two equal rows statement
- Subgroup criterion statement
- Choice function definition
- Codomain definition
- Function composition definition
- Identity function definition
- Injective function definition
- Laws of exponents in a group statement
- Determinant is multilinear in the rows statement
- Determinant of the identity matrix statement
- Matrix of a linear map definition
- Cofactor definition
- Proof of the well-ordering principle from strong induction proof
- Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
- Rank of a linear map definition
- Nullity definition
- Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
- Partial order definition
- Proof that disjoint cycles commute proof
- Intersection of subgroups is a subgroup statement
- Axiom of choice statement
- Equivalence class definition
- Left inverse definition
- Right inverse definition
- Surjective function definition
- Matrix of a composition is the product of matrices statement
- Adjugate matrix definition
- Linearly independent set of the right size is a basis statement
- Dimension of a subspace statement
- Characteristic polynomial of a linear map definition
- Well-ordering principle statement
- Maximal element definition
- Total order definition
- Upper bound definition
- Subgroup generated by a subset definition
- Proof that equivalence classes form a partition proof
- Disjoint cycles commute statement
- Bijective function definition
- Proof that a subspace of full dimension is the whole space proof
- Proof of the division algorithm proof
- Chain definition
- Equivalence classes form a partition statement
- Proof that a function is bijective iff it has a two-sided inverse proof
- Division algorithm statement
- A subspace of full dimension is the whole space statement
- Bijective iff it has a two-sided inverse statement
- Proof of the decomposition of a permutation into disjoint cycles proof
- Zorn's lemma statement
- Decomposition of a permutation into disjoint cycles statement
- Proof that the coordinate map is a linear isomorphism proof
- Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
- Proof of the decomposition of a permutation into transpositions proof
- Every linearly independent set extends to a basis statement
- Isomorphism with the coordinate space statement
- Decomposition of a permutation into transpositions statement
- Proof of the rank–nullity theorem by extending a basis of the kernel proof
- Sign of a permutation definition
- Proof that the symmetric group is generated by transpositions proof
- Rank–nullity theorem statement
- The symmetric group is generated by transpositions statement
- Proof that the sign is a homomorphism proof
- Proof of the sign of a cycle proof
- Proof that an injective endomorphism of a finite-dimensional space is surjective proof
- Sign of a cycle statement
- Sign is a homomorphism statement
- An injective endomorphism of a finite-dimensional space is surjective statement
- Proof that permuting rows multiplies the determinant by the sign proof
- Permuting rows multiplies the determinant by the sign statement
- Proof of the Leibniz formula from the defining properties of the determinant proof
- Leibniz formula for determinants statement
- Proof of the Laplace expansion along a row by the Leibniz formula proof
- Proof that the determinant is multiplicative by expanding the rows proof
- Proof that the determinant of a transpose equals the determinant proof
- Determinant is multiplicative statement
- Determinant of a transpose statement
- Laplace expansion along a row statement
- Proof that similar matrices have the same characteristic polynomial proof
- Proof of the determinant of the inverse proof
- Proof of the Laplace expansion along a column by transposition proof
- Determinant of the inverse statement
- Characteristic polynomial does not depend on the basis statement
- Laplace expansion along a column statement
- Proof of the product of a matrix and its adjugate by Laplace expansion proof
- Product of a matrix and its adjugate statement
- Proof of the inverse in terms of the adjugate proof
- Inverse in terms of the adjugate statement
- Proof that a matrix is invertible iff its determinant is a unit proof
- A matrix is invertible iff its determinant is a unit statement
- Proof that the eigenvalues are the roots of the characteristic polynomial proof
Where this leads
88 pages build on this one.
- Singular value decomposition
- Lotka–Volterra equations
- Triangularisation
- Spectral theorem for normal matrices
- Eigenvalues are the roots of the characteristic polynomial
- Spectral theorem
- Existence of an eigenvalue over an algebraically closed field
- Linearisation at an equilibrium
- Determinant of a matrix exponential
- Hyperbolic equilibrium point
- Spectral theorem for Hermitian matrices
- Polar decomposition
- Classification of equilibria of planar linear systems
- Principal axis theorem
- Hartman–Grobman theorem
- Pendulum equation
- Stability of linear systems via eigenvalues
- Sylvester's criterion
- Decomposition into generalised eigenspaces
- Spectral theorem for unbounded self-adjoint operators
- Routh–Hurwitz theorem
- Proof of the principal axis theorem from the spectral theorem
- Proof of the singular value decomposition from the spectral theorem
- Quantum Zeno effect
- Hilbert–Schmidt expansion theorem
- Anharmonic oscillator
- Proof of Sylvester's criterion by induction and completing the square
- Volterra's principle
- Bilinear series of a symmetric kernel
- Uhlmann's theorem
- Spectral theorem for compact self-adjoint operators
- Courant–Fischer characterization of characteristic values
- Proof of the spectral theorem for self-adjoint operators by induction on the dimension
- Principle of material frame-indifference
- Mixed state
- Melnikov method
- Euler's elastica
- Purification of a quantum state
- Gleason's theorem
- Proof of the eigenvalue criteria for stability of linear systems via the Jordan normal form
- Inverted pendulum
- Stone's theorem on one-parameter unitary groups
- Lidskii's trace formula for integral operators
- Hamiltonian operator
- Second quantization
- Proof of the decomposition into generalised eigenspaces
- Spectrum of the Laplace–Beltrami operator
- Principal stresses
- Furuta pendulum
- Wick rotation
- Eckart–Young theorem
- Proof of the existence of an eigenvalue over an algebraically closed field
- Strang splitting
- Lie–Trotter product formula
- Routh–Hurwitz stability criterion
- Kharitonov's theorem
- Proof of the polar decomposition from the singular value decomposition
- Born rule
- Borel functional calculus
- Schmidt decomposition
- Operator monotone function
- Proof of the spectral theorem for normal matrices by deflation
- Mercer's theorem
- Proof of the spectral theorem for Hermitian matrices
- Proof of triangularisation by induction on the size
- Anharmonic oscillator
- Generalized Lotka–Volterra equation
- Quantum computing
- Wave function collapse
- Principal component analysis
- Inertia tensor and principal axes
- Bidiagonalization
- Duffing equation
- Kapitza's pendulum
- Liénard–Chipart criterion
- Schur product theorem
- Singular values of a compact operator
- Spherical pendulum
- Observable
- Schmidt's singular value decomposition of a kernel
- Proof that the determinant of a matrix exponential is the exponential of the trace
- Van der Pol oscillator
- Polar decomposition of the deformation gradient
- Spectral theorem for bounded normal operators
- Hidden-variable theory
- Channel capacity of a quantum channel
- Gain scheduling
- Normal form
Further reading
About this page
Markdown · JSON · Edit on GitHub
What this page needs for W1
- an inventory row: the row of the inventory that the node accounts for (0 of 1)
The writing levels say how complete the text of a page is. They do not measure its truth.
What links here
No page links to this page yet.