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GATE Physics Mathematical Physics Syllabus

The Mathematical Physics syllabus for GATE Physics in full: 1 chapter, 7 topics and 16 sub-topics, every one listed below, plus 50 Mathematical Physics flashcards with answers.

1Chapters
7Topics
16Sub-topics
50Flashcards

Mathematical Physics syllabus: 1 chapter, 7 topics

Expand any chapter to see its topics and sub-topics.

  1. Vector Calculus

    7 topics
    • Linear Vector Space
      • Basis
      • Orthogonality
      • Completeness
    • Matrices
      • Similarity Transformations
      • Diagonalization
      • Eigen Values
      • Eigen Vectors
    • Linear Differential Equations
      • Second Order Linear Differential Equations
      • Solutions Involving Special Functions
    • Complex Analysis
      • Cauchy-Riemann Conditions
      • Cauchy's Theorem
      • Singularities
      • Residue Theorem
      • Applications
    • Laplace Transform
    • Fourier Analysis
    • Elementary Ideas about Tensors
      • Covariant Tensors
      • Contravariant Tensors

GATE Physics Mathematical Physics flashcards — 50 questions with answers

  1. What defines a linear vector space (over a field $F$)?

    A set $V$ with vector addition and scalar multiplication satisfying closure, associativity and commutativity of addition, existence of a zero vector $\vec{0}$ and additive inverses, plus the scalar axioms $a(\vec{u}+\vec{v})=a\vec{u}+a\vec{v}$, $(a+b)\vec{v}=a\vec{v}+b\vec{v}$, $a(b\vec{v})=(ab)\vec{v}$, and $1\cdot\vec{v}=\vec{v}$ for all $\vec{u},\vec{v}\in V$ and $a,b\in F$.

  2. What does it mean for vectors $\vec{v}_1,\dots,\vec{v}_n$ to be linearly independent?

    The only solution to $\sum_{i=1}^{n} c_i\vec{v}_i = \vec{0}$ is $c_1=c_2=\cdots=c_n=0$; no vector can be written as a linear combination of the others.

  3. Define a basis of a vector space and its relation to dimension.

    A basis is a set of vectors that is both linearly independent and spans the space, so every vector has a unique expansion in it. The number of basis vectors equals the dimension of the space.

  4. What is the standard inner product (scalar product) for two complex vectors in $\mathbb{C}^n$?

    $\langle \vec{u}|\vec{v}\rangle = \sum_{i=1}^{n} u_i^{*} v_i$, where $u_i^{*}$ denotes complex conjugation. It is linear in the second argument and conjugate-linear in the first.

  5. When are two vectors orthogonal, and what is an orthonormal set?

    Two vectors are orthogonal when $\langle \vec{u}|\vec{v}\rangle = 0$. A set $\{\vec{e}_i\}$ is orthonormal if $\langle \vec{e}_i|\vec{e}_j\rangle = \delta_{ij}$ (orthogonal and each normalized to unit length).

  6. State the completeness (closure) relation for an orthonormal basis $\{|e_i\rangle\}$.

    $\sum_{i} |e_i\rangle\langle e_i| = \mathbb{1}$ (the identity operator). It guarantees any vector can be expanded as $|\psi\rangle = \sum_i |e_i\rangle\langle e_i|\psi\rangle$.

  7. State the Cauchy-Schwarz inequality for an inner product space.

    $|\langle \vec{u}|\vec{v}\rangle|^{2} \leq \langle \vec{u}|\vec{u}\rangle\,\langle \vec{v}|\vec{v}\rangle$, with equality if and only if $\vec{u}$ and $\vec{v}$ are linearly dependent.

  8. What is the purpose of the Gram-Schmidt procedure?

    It converts a linearly independent set $\{\vec{v}_i\}$ into an orthonormal set $\{\vec{e}_i\}$ spanning the same subspace, by successively subtracting projections: $\vec{u}_k = \vec{v}_k - \sum_{j<k}\langle \vec{e}_j|\vec{v}_k\rangle\vec{e}_j$, then normalizing.

  9. Define a Hermitian (self-adjoint) matrix and give its key spectral properties.

    A matrix with $A^{\dagger}=A$, i.e. $A_{ij}=A_{ji}^{*}$. Its eigenvalues are real, and eigenvectors belonging to distinct eigenvalues are orthogonal; it can be diagonalized by a unitary matrix.

  10. Define a unitary matrix and state its defining property.

    A matrix $U$ with $U^{\dagger}U = UU^{\dagger} = \mathbb{1}$, so $U^{-1}=U^{\dagger}$. It preserves inner products and has eigenvalues of unit modulus ($|\lambda|=1$).

  11. What is an orthogonal matrix and what is its determinant?

    A real matrix $O$ with $O^{T}O = \mathbb{1}$, so $O^{-1}=O^{T}$. Its rows/columns form an orthonormal set, and $\det O = \pm 1$.

  12. How is the trace of a matrix defined, and what is its key invariance?

    $\operatorname{Tr}(A)=\sum_i A_{ii}$, the sum of diagonal elements. It is invariant under similarity (cyclic): $\operatorname{Tr}(ABC)=\operatorname{Tr}(BCA)$ and equals the sum of the eigenvalues.

  13. Write the eigenvalue equation for a matrix $A$ and the condition determining the eigenvalues.

    $A\vec{v}=\lambda\vec{v}$ with $\vec{v}\neq\vec{0}$. Nontrivial solutions require the characteristic equation $\det(A-\lambda\mathbb{1})=0$.

  14. How are the trace and determinant of a matrix related to its eigenvalues $\lambda_i$?

    $\operatorname{Tr}(A)=\sum_i \lambda_i$ and $\det(A)=\prod_i \lambda_i$.

  15. Define a similarity transformation and state which quantities it preserves.

    $A' = S^{-1}AS$ for an invertible matrix $S$. It preserves the eigenvalues, trace, determinant, and characteristic polynomial; $A$ and $A'$ represent the same operator in different bases.

  16. What is the condition for a matrix to be diagonalizable?

    An $n\times n$ matrix is diagonalizable iff it has $n$ linearly independent eigenvectors (i.e. the geometric multiplicity equals the algebraic multiplicity for every eigenvalue). Then $D=S^{-1}AS$ with columns of $S$ being the eigenvectors and $D$ holding the eigenvalues.

  17. By what kind of matrix can a Hermitian matrix be diagonalized, and what is the form?

    By a unitary matrix $U$: $U^{\dagger}AU = D$, where $D$ is real diagonal containing the eigenvalues and the columns of $U$ are the orthonormal eigenvectors.

  18. State the Cayley-Hamilton theorem.

    Every square matrix satisfies its own characteristic equation: if $p(\lambda)=\det(A-\lambda\mathbb{1})$, then $p(A)=0$.

  19. How do you compute a function $f(A)$ of a diagonalizable matrix, e.g. $e^{A}$?

    Diagonalize $A=SDS^{-1}$; then $f(A)=S\,f(D)\,S^{-1}$, where $f(D)$ applies $f$ to each diagonal eigenvalue. For example $e^{A}=S\,\mathrm{diag}(e^{\lambda_1},\dots,e^{\lambda_n})\,S^{-1}$.

  20. What is the general form of an $n$th-order linear ordinary differential equation?

    $a_n(x)\frac{d^{n}y}{dx^{n}}+a_{n-1}(x)\frac{d^{n-1}y}{dx^{n-1}}+\cdots+a_1(x)\frac{dy}{dx}+a_0(x)y = g(x)$. It is homogeneous if $g(x)=0$, inhomogeneous otherwise.

Show the other 30 Mathematical Physics flashcards
  1. How is the general solution of an inhomogeneous linear ODE structured?

    $y = y_c + y_p$, where $y_c$ (complementary function) is the general solution of the associated homogeneous equation and $y_p$ is any particular solution of the full equation.

  2. Write the standard form of a second-order linear ODE and its homogeneous version.

    $\frac{d^{2}y}{dx^{2}}+P(x)\frac{dy}{dx}+Q(x)y = R(x)$; homogeneous when $R(x)=0$.

  3. What is the Wronskian of two solutions $y_1,y_2$, and what does it test?

    $W(y_1,y_2)=\begin{vmatrix} y_1 & y_2 \\ y_1' & y_2' \end{vmatrix}=y_1 y_2' - y_2 y_1'$. If $W\neq 0$ on an interval, $y_1$ and $y_2$ are linearly independent there.

  4. For a constant-coefficient ODE $ay''+by'+cy=0$, how do the roots of the auxiliary equation give the solution?

    From $am^{2}+bm+c=0$: distinct real roots $m_1,m_2$ give $y=c_1e^{m_1x}+c_2e^{m_2x}$; a repeated root $m$ gives $y=(c_1+c_2x)e^{mx}$; complex roots $\alpha\pm i\beta$ give $y=e^{\alpha x}(c_1\cos\beta x + c_2\sin\beta x)$.

  5. Classify a point $x_0$ of $y''+P(x)y'+Q(x)y=0$ as ordinary, regular singular, or irregular singular.

    Ordinary if $P$ and $Q$ are analytic at $x_0$. Regular singular if $x_0$ is singular but $(x-x_0)P(x)$ and $(x-x_0)^{2}Q(x)$ are analytic. Otherwise it is an irregular singular point.

  6. What method is used to solve a second-order ODE about a regular singular point?

    The Frobenius method: assume $y=\sum_{k=0}^{\infty} a_k (x-x_0)^{k+s}$ with indicial exponent $s$ determined by the indicial equation, then find the recurrence for the coefficients $a_k$.

  7. Write Legendre's differential equation and name its polynomial solutions.

    $(1-x^{2})y'' - 2x y' + l(l+1)y = 0$. For integer $l$ the regular solutions are the Legendre polynomials $P_l(x)$, orthogonal on $[-1,1]$.

  8. Write Bessel's differential equation of order $n$.

    $x^{2}y'' + x y' + (x^{2}-n^{2})y = 0$, whose solutions are the Bessel functions $J_n(x)$ and $Y_n(x)$.

  9. Write Hermite's differential equation and where its polynomial solutions appear in physics.

    $y'' - 2x y' + 2n y = 0$, with Hermite polynomial solutions $H_n(x)$; they appear in the eigenfunctions of the quantum harmonic oscillator.

  10. State the orthogonality relation for Legendre polynomials.

    $\int_{-1}^{1} P_l(x)P_m(x)\,dx = \frac{2}{2l+1}\,\delta_{lm}$.

  11. When is a complex function $f(z)$ called analytic (holomorphic) at a point?

    When it is complex-differentiable not only at the point but throughout some neighbourhood of it; equivalently $f'(z)$ exists and is single-valued in that region.

  12. State the Cauchy-Riemann conditions for $f(z)=u(x,y)+iv(x,y)$.

    $\dfrac{\partial u}{\partial x}=\dfrac{\partial v}{\partial y}$ and $\dfrac{\partial u}{\partial y}=-\dfrac{\partial v}{\partial x}$. With continuous partial derivatives these are necessary and sufficient for analyticity.

  13. What property do the real and imaginary parts of an analytic function satisfy individually?

    They are harmonic: $\nabla^{2}u = \dfrac{\partial^{2}u}{\partial x^{2}}+\dfrac{\partial^{2}u}{\partial y^{2}}=0$ and likewise $\nabla^{2}v=0$. They are called conjugate harmonic functions.

  14. Express the Cauchy-Riemann conditions in polar form for $f=u+iv$ with $z=re^{i\theta}$.

    $\dfrac{\partial u}{\partial r}=\dfrac{1}{r}\dfrac{\partial v}{\partial \theta}$ and $\dfrac{1}{r}\dfrac{\partial u}{\partial \theta}=-\dfrac{\partial v}{\partial r}$.

  15. State Cauchy's integral theorem.

    If $f(z)$ is analytic everywhere inside and on a simple closed contour $C$, then $\oint_C f(z)\,dz = 0$.

  16. State Cauchy's integral formula for $f$ and its $n$th derivative.

    For $f$ analytic inside and on $C$ with $z_0$ enclosed: $f(z_0)=\dfrac{1}{2\pi i}\oint_C \dfrac{f(z)}{z-z_0}\,dz$, and $f^{(n)}(z_0)=\dfrac{n!}{2\pi i}\oint_C \dfrac{f(z)}{(z-z_0)^{n+1}}\,dz$.

  17. What is a Laurent series and where is it valid?

    An expansion $f(z)=\sum_{n=-\infty}^{\infty} a_n (z-z_0)^{n}$ valid in an annulus about $z_0$, including negative powers; it represents functions with singularities, unlike a Taylor series.

  18. Classify the isolated singularities of a complex function.

    Removable singularity (no negative powers in the Laurent series), pole of order $m$ (highest negative power is $(z-z_0)^{-m}$), and essential singularity (infinitely many negative-power terms).

  19. How do you identify a pole of order $m$ at $z_0$?

    The Laurent expansion has its most negative term $(z-z_0)^{-m}$, equivalently $(z-z_0)^{m} f(z)$ is analytic and nonzero at $z_0$. A pole of order 1 is called a simple pole.

  20. Define the residue of $f$ at an isolated singularity $z_0$.

    It is the coefficient $a_{-1}$ of $(z-z_0)^{-1}$ in the Laurent expansion of $f$ about $z_0$, written $\operatorname{Res}_{z=z_0} f(z)=a_{-1}$.

  21. Give the formula for the residue at a simple pole $z_0$.

    $\operatorname{Res}_{z=z_0} f(z) = \lim_{z\to z_0} (z-z_0)f(z)$. If $f=p/q$ with a simple zero of $q$ at $z_0$, this equals $\dfrac{p(z_0)}{q'(z_0)}$.

  22. Give the formula for the residue at a pole of order $m$.

    $\operatorname{Res}_{z=z_0} f(z) = \dfrac{1}{(m-1)!}\lim_{z\to z_0}\dfrac{d^{m-1}}{dz^{m-1}}\big[(z-z_0)^{m}f(z)\big]$.

  23. State the residue theorem.

    If $f$ is analytic inside and on a simple closed contour $C$ except at isolated singularities $z_k$ enclosed by $C$, then $\oint_C f(z)\,dz = 2\pi i \sum_k \operatorname{Res}_{z=z_k} f(z)$.

  24. How is the residue theorem used to evaluate $\int_{-\infty}^{\infty} f(x)\,dx$ for a rational function?

    Close the contour with a large semicircle in the upper half-plane; if $f\to 0$ fast enough the arc contributes nothing, giving $\int_{-\infty}^{\infty} f(x)\,dx = 2\pi i \sum \operatorname{Res}$ at the poles in the upper half-plane.

  25. State Jordan's lemma and where it is applied.

    For $\int_{-\infty}^{\infty} f(x)e^{iax}\,dx$ with $a>0$, if $f(z)\to 0$ uniformly as $|z|\to\infty$ in the upper half-plane, the contribution of the large semicircular arc vanishes, so the integral equals $2\pi i\sum\operatorname{Res}$ in the upper half-plane. It is used for Fourier-type integrals.

  26. What is the residue at a simple pole on the real axis (principal value), and its contour contribution?

    A simple pole $z_0$ on the contour contributes $i\pi\,\operatorname{Res}_{z=z_0} f$ (half the full $2\pi i$) via a small indenting semicircle, used in evaluating Cauchy principal-value integrals.

  27. How are integrals of the form $\int_0^{2\pi} R(\cos\theta,\sin\theta)\,d\theta$ evaluated by residues?

    Substitute $z=e^{i\theta}$, so $\cos\theta=\frac{1}{2}(z+z^{-1})$, $\sin\theta=\frac{1}{2i}(z-z^{-1})$, $d\theta=\dfrac{dz}{iz}$, turning it into a contour integral over the unit circle $|z|=1$ evaluated by the residue theorem.

  28. What is the residue of $f(z)=\dfrac{e^{z}}{z^{2}}$ at $z=0$, and what type of singularity is it?

    It is a pole of order 2. Using the order-$m$ formula, $\operatorname{Res}_{z=0}=\lim_{z\to0}\frac{d}{dz}\big[z^{2}\cdot \frac{e^{z}}{z^{2}}\big]=\frac{d}{dz}e^{z}\big|_{0}=1$.

  29. State Liouville's theorem in complex analysis.

    A function that is analytic (entire) and bounded on the whole complex plane must be constant.

  30. What does the Sturm-Liouville form of an ODE guarantee for its eigenfunctions?

    Writing the equation as $\dfrac{d}{dx}\!\left[p(x)\dfrac{dy}{dx}\right]+\big[q(x)+\lambda w(x)\big]y=0$ with suitable boundary conditions yields real eigenvalues and eigenfunctions orthogonal with respect to the weight $w(x)$: $\int y_m y_n\, w(x)\,dx=0$ for $m\neq n$.

GATE Physics Mathematical Physics FAQ

What is in the GATE Physics Mathematical Physics syllabus?

GATE Physics Mathematical Physics is split into 1 chapter: Vector Calculus. Together they contain 7 topics and 16 sub-topics.

How many chapters are in GATE Physics Mathematical Physics?

1 chapter, containing 7 topics and 16 sub-topics.

Are there flashcards for GATE Physics Mathematical Physics?

Yes — a 50-card Mathematical Physics deck, printed in full in the flashcards section of this page and available in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.